id	sid	tid	token	lemma	pos
esrj-75821	1	1	keywords	keyword	NOUN
esrj-75821	1	2	:	:	PUNCT
esrj-75821	1	3	land	land	NOUN
esrj-75821	1	4	degradation	degradation	NOUN
esrj-75821	1	5	;	;	PUNCT
esrj-75821	1	6	machine	machine	NOUN
esrj-75821	1	7	learning	learning	NOUN
esrj-75821	1	8	;	;	PUNCT
esrj-75821	1	9	groundwater	groundwater	NOUN
esrj-75821	1	10	level	level	NOUN
esrj-75821	1	11	;	;	PUNCT
esrj-75821	1	12	partial	partial	ADJ
esrj-75821	1	13	least	least	ADJ
esrj-75821	1	14	square	square	ADJ
esrj-75821	1	15	regression	regression	NOUN
esrj-75821	1	16	(	(	PUNCT
esrj-75821	1	17	plsr	plsr	PROPN
esrj-75821	1	18	)	)	PUNCT
esrj-75821	1	19	;	;	PUNCT
esrj-75821	1	20	artificial	artificial	ADJ
esrj-75821	1	21	neural	neural	ADJ
esrj-75821	1	22	networks	network	NOUN
esrj-75821	1	23	(	(	PUNCT
esrj-75821	1	24	ann	ann	PROPN
esrj-75821	1	25	)	)	PUNCT
esrj-75821	1	26	;	;	PUNCT
esrj-75821	1	27	adaptive	adaptive	ADJ
esrj-75821	1	28	neuro	neuro	NOUN
esrj-75821	1	29	-	-	PUNCT
esrj-75821	1	30	fuzzy	fuzzy	ADJ
esrj-75821	1	31	inference	inference	NOUN
esrj-75821	1	32	system	system	NOUN
esrj-75821	1	33	(	(	PUNCT
esrj-75821	1	34	anfis	anfis	PROPN
esrj-75821	1	35	)	)	PUNCT
esrj-75821	1	36	;	;	PUNCT
esrj-75821	1	37	palabras	palabra	NOUN
esrj-75821	1	38	clave	clave	NOUN
esrj-75821	1	39	:	:	PUNCT
esrj-75821	1	40	adegradación	adegradación	PROPN
esrj-75821	1	41	de	de	PROPN
esrj-75821	1	42	la	la	X
esrj-75821	1	43	tierra	tierra	PROPN
esrj-75821	1	44	;	;	PUNCT
esrj-75821	1	45	aprendizaje	aprendizaje	PROPN
esrj-75821	1	46	automático	automático	NOUN
esrj-75821	1	47	;	;	PUNCT
esrj-75821	1	48	nivel	nivel	PROPN
esrj-75821	1	49	de	de	PROPN
esrj-75821	1	50	aguas	aguas	PROPN
esrj-75821	1	51	subterráneas	subterránea	NOUN
esrj-75821	1	52	;	;	PUNCT
esrj-75821	1	53	regresión	regresión	PROPN
esrj-75821	1	54	de	de	PROPN
esrj-75821	1	55	mínimos	mínimos	PROPN
esrj-75821	1	56	cuadrados	cuadrados	PROPN
esrj-75821	1	57	parciales	parciale	NOUN
esrj-75821	1	58	;	;	PUNCT
esrj-75821	1	59	redes	redes	PROPN
esrj-75821	1	60	neuronales	neuronale	NOUN
esrj-75821	1	61	artificiales	artificiale	NOUN
esrj-75821	1	62	;	;	PUNCT
esrj-75821	1	63	sistema	sistema	X
esrj-75821	1	64	de	de	X
esrj-75821	1	65	inferencia	inferencia	PROPN
esrj-75821	1	66	de	de	X
esrj-75821	1	67	neurodifusión	neurodifusión	PROPN
esrj-75821	1	68	adaptativo	adaptativo	NOUN
esrj-75821	1	69	how	how	SCONJ
esrj-75821	1	70	to	to	PART
esrj-75821	1	71	cite	cite	VERB
esrj-75821	1	72	item	item	NOUN
esrj-75821	1	73	habibi	habibi	PROPN
esrj-75821	1	74	,	,	PUNCT
esrj-75821	1	75	v.	v.	PROPN
esrj-75821	1	76	,	,	PUNCT
esrj-75821	1	77	ahmadi	ahmadi	PROPN
esrj-75821	1	78	,	,	PUNCT
esrj-75821	1	79	h.	h.	PROPN
esrj-75821	1	80	,	,	PUNCT
esrj-75821	1	81	jaffari	jaffari	PROPN
esrj-75821	1	82	,	,	PUNCT
esrj-75821	1	83	m.	m.	NOUN
esrj-75821	1	84	,	,	PUNCT
esrj-75821	1	85	&	&	CCONJ
esrj-75821	1	86	moeini	moeini	PROPN
esrj-75821	1	87	,	,	PUNCT
esrj-75821	1	88	a.	a.	NOUN
esrj-75821	1	89	(	(	PUNCT
esrj-75821	1	90	2021	2021	NUM
esrj-75821	1	91	)	)	PUNCT
esrj-75821	1	92	.	.	PUNCT
esrj-75821	2	1	prediction	prediction	NOUN
esrj-75821	2	2	of	of	ADP
esrj-75821	2	3	land	land	NOUN
esrj-75821	2	4	degradation	degradation	NOUN
esrj-75821	2	5	by	by	ADP
esrj-75821	2	6	machine	machine	NOUN
esrj-75821	2	7	learning	learning	NOUN
esrj-75821	2	8	methods	method	NOUN
esrj-75821	2	9	:	:	PUNCT
esrj-75821	2	10	a	a	DET
esrj-75821	2	11	case	case	NOUN
esrj-75821	2	12	study	study	NOUN
esrj-75821	2	13	from	from	ADP
esrj-75821	2	14	sharifabad	sharifabad	PROPN
esrj-75821	2	15	watershed	watershed	PROPN
esrj-75821	2	16	,	,	PUNCT
esrj-75821	2	17	central	central	ADJ
esrj-75821	2	18	iran	iran	PROPN
esrj-75821	2	19	.	.	PUNCT
esrj-75821	3	1	earth	earth	PROPN
esrj-75821	3	2	sciences	sciences	PROPN
esrj-75821	3	3	research	research	PROPN
esrj-75821	3	4	journal	journal	PROPN
esrj-75821	3	5	,	,	PUNCT
esrj-75821	3	6	25(3	25(3	NUM
esrj-75821	3	7	)	)	PUNCT
esrj-75821	3	8	,	,	PUNCT
esrj-75821	3	9	353	353	NUM
esrj-75821	3	10	-	-	SYM
esrj-75821	3	11	362	362	NUM
esrj-75821	3	12	.	.	PUNCT
esrj-75821	4	1	https://doi.org/10.15446/esrj.v25n3.75821	https://doi.org/10.15446/esrj.v25n3.75821	NOUN
esrj-75821	4	2	to	to	PART
esrj-75821	4	3	monitor	monitor	VERB
esrj-75821	4	4	and	and	CCONJ
esrj-75821	4	5	predict	predict	VERB
esrj-75821	4	6	the	the	DET
esrj-75821	4	7	groundwater	groundwater	NOUN
esrj-75821	4	8	levels	level	NOUN
esrj-75821	4	9	in	in	ADP
esrj-75821	4	10	sharifabad	sharifabad	PROPN
esrj-75821	4	11	watershed	watershed	PROPN
esrj-75821	4	12	,	,	PUNCT
esrj-75821	4	13	central	central	ADJ
esrj-75821	4	14	province	province	NOUN
esrj-75821	4	15	,	,	PUNCT
esrj-75821	4	16	iran	iran	PROPN
esrj-75821	4	17	three	three	NUM
esrj-75821	4	18	models	model	NOUN
esrj-75821	4	19	of	of	ADP
esrj-75821	4	20	partial	partial	ADJ
esrj-75821	4	21	least	least	ADJ
esrj-75821	4	22	square	square	ADJ
esrj-75821	4	23	regression	regression	NOUN
esrj-75821	4	24	(	(	PUNCT
esrj-75821	4	25	plsr	plsr	PROPN
esrj-75821	4	26	)	)	PUNCT
esrj-75821	4	27	,	,	PUNCT
esrj-75821	4	28	artificial	artificial	ADJ
esrj-75821	4	29	neural	neural	ADJ
esrj-75821	4	30	networks	network	NOUN
esrj-75821	4	31	(	(	PUNCT
esrj-75821	4	32	ann	ann	PROPN
esrj-75821	4	33	)	)	PUNCT
esrj-75821	4	34	and	and	CCONJ
esrj-75821	4	35	adaptive	adaptive	ADJ
esrj-75821	4	36	neuro	neuro	NOUN
esrj-75821	4	37	-	-	PUNCT
esrj-75821	4	38	fuzzy	fuzzy	ADJ
esrj-75821	4	39	inference	inference	NOUN
esrj-75821	4	40	system	system	NOUN
esrj-75821	4	41	(	(	PUNCT
esrj-75821	4	42	anfis	anfi	VERB
esrj-75821	4	43	)	)	PUNCT
esrj-75821	4	44	have	have	AUX
esrj-75821	4	45	been	be	AUX
esrj-75821	4	46	used	use	VERB
esrj-75821	4	47	.	.	PUNCT
esrj-75821	5	1	in	in	ADP
esrj-75821	5	2	all	all	DET
esrj-75821	5	3	models	model	NOUN
esrj-75821	5	4	,	,	PUNCT
esrj-75821	5	5	70	70	NUM
esrj-75821	5	6	%	%	NOUN
esrj-75821	5	7	of	of	ADP
esrj-75821	5	8	the	the	DET
esrj-75821	5	9	data	datum	NOUN
esrj-75821	5	10	was	be	AUX
esrj-75821	5	11	used	use	VERB
esrj-75821	5	12	for	for	ADP
esrj-75821	5	13	training	training	NOUN
esrj-75821	5	14	,	,	PUNCT
esrj-75821	5	15	while	while	SCONJ
esrj-75821	5	16	30	30	NUM
esrj-75821	5	17	%	%	NOUN
esrj-75821	5	18	of	of	ADP
esrj-75821	5	19	data	datum	NOUN
esrj-75821	5	20	were	be	AUX
esrj-75821	5	21	employed	employ	VERB
esrj-75821	5	22	for	for	ADP
esrj-75821	5	23	testing	testing	NOUN
esrj-75821	5	24	and	and	CCONJ
esrj-75821	5	25	validation	validation	NOUN
esrj-75821	5	26	.	.	PUNCT
esrj-75821	6	1	monthly	monthly	ADJ
esrj-75821	6	2	rainfall	rainfall	NOUN
esrj-75821	6	3	,	,	PUNCT
esrj-75821	6	4	topographic	topographic	PROPN
esrj-75821	6	5	wetness	wetness	PROPN
esrj-75821	6	6	index	index	NOUN
esrj-75821	6	7	(	(	PUNCT
esrj-75821	6	8	twi	twi	INTJ
esrj-75821	6	9	index	index	NOUN
esrj-75821	6	10	)	)	PUNCT
esrj-75821	6	11	,	,	PUNCT
esrj-75821	6	12	the	the	DET
esrj-75821	6	13	distance	distance	NOUN
esrj-75821	6	14	from	from	ADP
esrj-75821	6	15	the	the	DET
esrj-75821	6	16	river	river	NOUN
esrj-75821	6	17	,	,	PUNCT
esrj-75821	6	18	geographic	geographic	ADJ
esrj-75821	6	19	location	location	NOUN
esrj-75821	6	20	was	be	AUX
esrj-75821	6	21	the	the	DET
esrj-75821	6	22	inputs	input	NOUN
esrj-75821	6	23	and	and	CCONJ
esrj-75821	6	24	the	the	DET
esrj-75821	6	25	level	level	NOUN
esrj-75821	6	26	of	of	ADP
esrj-75821	6	27	groundwater	groundwater	NOUN
esrj-75821	6	28	was	be	AUX
esrj-75821	6	29	the	the	DET
esrj-75821	6	30	output	output	NOUN
esrj-75821	6	31	of	of	ADP
esrj-75821	6	32	each	each	DET
esrj-75821	6	33	method	method	NOUN
esrj-75821	6	34	.	.	PUNCT
esrj-75821	7	1	it	it	PRON
esrj-75821	7	2	is	be	AUX
esrj-75821	7	3	observed	observe	VERB
esrj-75821	7	4	that	that	SCONJ
esrj-75821	7	5	ann	ann	PROPN
esrj-75821	7	6	has	have	VERB
esrj-75821	7	7	the	the	DET
esrj-75821	7	8	highest	high	ADJ
esrj-75821	7	9	efficiency	efficiency	NOUN
esrj-75821	7	10	,	,	PUNCT
esrj-75821	7	11	which	which	PRON
esrj-75821	7	12	agrees	agree	VERB
esrj-75821	7	13	with	with	ADP
esrj-75821	7	14	other	other	ADJ
esrj-75821	7	15	findings	finding	NOUN
esrj-75821	7	16	.	.	PUNCT
esrj-75821	8	1	the	the	DET
esrj-75821	8	2	results	result	NOUN
esrj-75821	8	3	of	of	ADP
esrj-75821	8	4	ann	ann	PROPN
esrj-75821	8	5	have	have	AUX
esrj-75821	8	6	been	be	AUX
esrj-75821	8	7	used	use	VERB
esrj-75821	8	8	in	in	ADP
esrj-75821	8	9	preparation	preparation	NOUN
esrj-75821	8	10	of	of	ADP
esrj-75821	8	11	groundwater	groundwater	NOUN
esrj-75821	8	12	distribution	distribution	NOUN
esrj-75821	8	13	map	map	NOUN
esrj-75821	8	14	.	.	PUNCT
esrj-75821	9	1	according	accord	VERB
esrj-75821	9	2	to	to	ADP
esrj-75821	9	3	the	the	DET
esrj-75821	9	4	potential	potential	ADJ
esrj-75821	9	5	desertification	desertification	NOUN
esrj-75821	9	6	map	map	NOUN
esrj-75821	9	7	and	and	CCONJ
esrj-75821	9	8	groundwater	groundwater	NOUN
esrj-75821	9	9	level	level	NOUN
esrj-75821	9	10	index	index	NOUN
esrj-75821	9	11	,	,	PUNCT
esrj-75821	9	12	the	the	DET
esrj-75821	9	13	potential	potential	NOUN
esrj-75821	9	14	of	of	ADP
esrj-75821	9	15	desertification	desertification	NOUN
esrj-75821	9	16	had	have	AUX
esrj-75821	9	17	become	become	VERB
esrj-75821	9	18	severe	severe	ADJ
esrj-75821	9	19	since	since	SCONJ
esrj-75821	9	20	2002	2002	NUM
esrj-75821	9	21	and	and	CCONJ
esrj-75821	9	22	was	be	AUX
esrj-75821	9	23	at	at	ADP
esrj-75821	9	24	a	a	DET
esrj-75821	9	25	rate	rate	NOUN
esrj-75821	9	26	of	of	ADP
esrj-75821	9	27	60	60	NUM
esrj-75821	9	28	%	%	NOUN
esrj-75821	9	29	of	of	ADP
esrj-75821	9	30	land	land	NOUN
esrj-75821	9	31	area	area	NOUN
esrj-75821	9	32	,	,	PUNCT
esrj-75821	9	33	which	which	PRON
esrj-75821	9	34	,	,	PUNCT
esrj-75821	9	35	due	due	ADP
esrj-75821	9	36	to	to	ADP
esrj-75821	9	37	incorrect	incorrect	ADJ
esrj-75821	9	38	land	land	NOUN
esrj-75821	9	39	management	management	NOUN
esrj-75821	9	40	in	in	ADP
esrj-75821	9	41	2016	2016	NUM
esrj-75821	9	42	,	,	PUNCT
esrj-75821	9	43	increased	increase	VERB
esrj-75821	9	44	to	to	ADP
esrj-75821	9	45	almost	almost	ADV
esrj-75821	9	46	98	98	NUM
esrj-75821	9	47	%	%	NOUN
esrj-75821	9	48	of	of	ADP
esrj-75821	9	49	the	the	DET
esrj-75821	9	50	land	land	NOUN
esrj-75821	9	51	surface	surface	NOUN
esrj-75821	9	52	in	in	ADP
esrj-75821	9	53	the	the	DET
esrj-75821	9	54	study	study	NOUN
esrj-75821	9	55	area	area	NOUN
esrj-75821	9	56	.	.	PUNCT
esrj-75821	10	1	using	use	VERB
esrj-75821	10	2	ann	ann	PROPN
esrj-75821	10	3	,	,	PUNCT
esrj-75821	10	4	it	it	PRON
esrj-75821	10	5	is	be	AUX
esrj-75821	10	6	predicted	predict	VERB
esrj-75821	10	7	that	that	SCONJ
esrj-75821	10	8	100	100	NUM
esrj-75821	10	9	%	%	NOUN
esrj-75821	10	10	of	of	ADP
esrj-75821	10	11	the	the	DET
esrj-75821	10	12	area	area	NOUN
esrj-75821	10	13	was	be	AUX
esrj-75821	10	14	severely	severely	ADV
esrj-75821	10	15	degraded	degrade	VERB
esrj-75821	10	16	for	for	ADP
esrj-75821	10	17	2025	2025	NUM
esrj-75821	10	18	.	.	PUNCT
esrj-75821	11	1	in	in	ADP
esrj-75821	11	2	addition	addition	NOUN
esrj-75821	11	3	to	to	ADP
esrj-75821	11	4	the	the	DET
esrj-75821	11	5	target	target	NOUN
esrj-75821	11	6	variable	variable	NOUN
esrj-75821	11	7	,	,	PUNCT
esrj-75821	11	8	latitude	latitude	NOUN
esrj-75821	11	9	and	and	CCONJ
esrj-75821	11	10	longitude	longitude	NOUN
esrj-75821	11	11	play	play	VERB
esrj-75821	11	12	important	important	ADJ
esrj-75821	11	13	roles	role	NOUN
esrj-75821	11	14	in	in	ADP
esrj-75821	11	15	ordinary	ordinary	ADJ
esrj-75821	11	16	krigging	krigging	NOUN
esrj-75821	11	17	and	and	CCONJ
esrj-75821	11	18	decreased	decrease	VERB
esrj-75821	11	19	the	the	DET
esrj-75821	11	20	total	total	ADJ
esrj-75821	11	21	error	error	NOUN
esrj-75821	11	22	of	of	ADP
esrj-75821	11	23	two	two	NUM
esrj-75821	11	24	combined	combined	ADJ
esrj-75821	11	25	models	model	NOUN
esrj-75821	11	26	.	.	PUNCT
esrj-75821	12	1	abstract	abstract	ADJ
esrj-75821	12	2	prediction	prediction	NOUN
esrj-75821	12	3	of	of	ADP
esrj-75821	12	4	land	land	NOUN
esrj-75821	12	5	degradation	degradation	NOUN
esrj-75821	12	6	by	by	ADP
esrj-75821	12	7	machine	machine	NOUN
esrj-75821	12	8	learning	learning	NOUN
esrj-75821	12	9	methods	method	NOUN
esrj-75821	12	10	:	:	PUNCT
esrj-75821	12	11	a	a	DET
esrj-75821	12	12	case	case	NOUN
esrj-75821	12	13	study	study	NOUN
esrj-75821	12	14	from	from	ADP
esrj-75821	12	15	sharifabad	sharifabad	PROPN
esrj-75821	12	16	watershed	watershed	PROPN
esrj-75821	12	17	,	,	PUNCT
esrj-75821	12	18	central	central	ADJ
esrj-75821	12	19	iran	iran	PROPN
esrj-75821	12	20	degradación	degradación	PROPN
esrj-75821	12	21	de	de	PROPN
esrj-75821	12	22	la	la	PROPN
esrj-75821	12	23	tierra	tierra	PROPN
esrj-75821	12	24	medida	medida	PROPN
esrj-75821	12	25	a	a	DET
esrj-75821	12	26	través	través	X
esrj-75821	12	27	de	de	X
esrj-75821	12	28	métodos	métodos	PROPN
esrj-75821	12	29	de	de	PROPN
esrj-75821	12	30	aprendizaje	aprendizaje	PROPN
esrj-75821	12	31	automático	automático	PROPN
esrj-75821	12	32	:	:	PUNCT
esrj-75821	12	33	caso	caso	PROPN
esrj-75821	12	34	de	de	X
esrj-75821	12	35	estudio	estudio	X
esrj-75821	12	36	de	de	X
esrj-75821	12	37	la	la	PROPN
esrj-75821	12	38	cuenca	cuenca	PROPN
esrj-75821	12	39	sharifabad	sharifabad	PROPN
esrj-75821	12	40	,	,	PUNCT
esrj-75821	12	41	en	en	ADP
esrj-75821	12	42	irán	irán	PROPN
esrj-75821	12	43	central	central	PROPN
esrj-75821	12	44	issn	issn	PROPN
esrj-75821	12	45	1794	1794	NUM
esrj-75821	12	46	-	-	SYM
esrj-75821	12	47	6190	6190	NUM
esrj-75821	12	48	e	e	NOUN
esrj-75821	12	49	-	-	NOUN
esrj-75821	12	50	issn	issn	PROPN
esrj-75821	12	51	2339	2339	NUM
esrj-75821	12	52	-	-	SYM
esrj-75821	12	53	3459	3459	NUM
esrj-75821	12	54	https://doi.org/10.15446/esrj.v25n3.75821	https://doi.org/10.15446/esrj.v25n3.75821	NOUN
esrj-75821	12	55	con	con	PROPN
esrj-75821	12	56	el	el	PROPN
esrj-75821	12	57	fin	fin	PROPN
esrj-75821	12	58	de	de	ADP
esrj-75821	12	59	monitorear	monitorear	PROPN
esrj-75821	12	60	y	y	PROPN
esrj-75821	12	61	predecir	predecir	PROPN
esrj-75821	12	62	los	los	PROPN
esrj-75821	12	63	niveles	nivele	NOUN
esrj-75821	12	64	de	de	X
esrj-75821	12	65	agua	agua	X
esrj-75821	12	66	subterránea	subterránea	PROPN
esrj-75821	12	67	en	en	X
esrj-75821	12	68	la	la	PROPN
esrj-75821	12	69	cuenca	cuenca	PROPN
esrj-75821	12	70	sharifabad	sharifabad	PROPN
esrj-75821	12	71	,	,	PUNCT
esrj-75821	12	72	provincia	provincia	PROPN
esrj-75821	12	73	central	central	PROPN
esrj-75821	12	74	de	de	X
esrj-75821	12	75	irán	irán	PROPN
esrj-75821	12	76	,	,	PUNCT
esrj-75821	12	77	se	se	X
esrj-75821	12	78	utilizaron	utilizaron	PROPN
esrj-75821	12	79	los	los	PROPN
esrj-75821	12	80	modelos	modelos	PROPN
esrj-75821	12	81	regresión	regresión	PROPN
esrj-75821	12	82	de	de	PROPN
esrj-75821	12	83	mínimos	mínimos	PROPN
esrj-75821	12	84	cuadrados	cuadrado	NOUN
esrj-75821	12	85	parciales	parciale	NOUN
esrj-75821	12	86	(	(	PUNCT
esrj-75821	12	87	plsr	plsr	PROPN
esrj-75821	12	88	,	,	PUNCT
esrj-75821	12	89	del	del	X
esrj-75821	12	90	inglés	inglés	X
esrj-75821	12	91	partial	partial	ADJ
esrj-75821	12	92	least	least	ADJ
esrj-75821	12	93	square	square	ADJ
esrj-75821	12	94	regression	regression	NOUN
esrj-75821	12	95	)	)	PUNCT
esrj-75821	12	96	,	,	PUNCT
esrj-75821	12	97	redes	redes	PROPN
esrj-75821	12	98	neuronales	neuronales	PROPN
esrj-75821	12	99	artificiales	artificiales	PROPN
esrj-75821	12	100	(	(	PUNCT
esrj-75821	12	101	ann	ann	PROPN
esrj-75821	12	102	,	,	PUNCT
esrj-75821	12	103	artificial	artificial	ADJ
esrj-75821	12	104	neural	neural	ADJ
esrj-75821	12	105	networks	network	NOUN
esrj-75821	12	106	)	)	PUNCT
esrj-75821	12	107	,	,	PUNCT
esrj-75821	12	108	y	y	PROPN
esrj-75821	12	109	sistema	sistema	X
esrj-75821	12	110	de	de	X
esrj-75821	12	111	inferencia	inferencia	PROPN
esrj-75821	12	112	de	de	ADP
esrj-75821	12	113	neurodifusión	neurodifusión	PROPN
esrj-75821	12	114	adaptativo	adaptativo	NOUN
esrj-75821	12	115	(	(	PUNCT
esrj-75821	12	116	anfis	anfis	PROPN
esrj-75821	12	117	,	,	PUNCT
esrj-75821	12	118	adaptive	adaptive	ADJ
esrj-75821	12	119	neuro	neuro	NOUN
esrj-75821	12	120	-	-	PUNCT
esrj-75821	12	121	fuzzy	fuzzy	ADJ
esrj-75821	12	122	inference	inference	NOUN
esrj-75821	12	123	system	system	NOUN
esrj-75821	12	124	)	)	PUNCT
esrj-75821	12	125	.	.	PUNCT
esrj-75821	13	1	el	el	PROPN
esrj-75821	13	2	70	70	NUM
esrj-75821	13	3	%	%	NOUN
esrj-75821	13	4	de	de	PROPN
esrj-75821	13	5	la	la	PROPN
esrj-75821	13	6	información	información	PROPN
esrj-75821	13	7	fue	fue	PROPN
esrj-75821	13	8	utilizada	utilizada	PROPN
esrj-75821	13	9	para	para	PROPN
esrj-75821	13	10	probar	probar	PROPN
esrj-75821	13	11	los	los	PROPN
esrj-75821	13	12	tres	tres	X
esrj-75821	13	13	modelos	modelos	PROPN
esrj-75821	13	14	,	,	PUNCT
esrj-75821	13	15	mientras	mientras	X
esrj-75821	13	16	que	que	PROPN
esrj-75821	13	17	el	el	PROPN
esrj-75821	13	18	30	30	NUM
esrj-75821	13	19	%	%	NOUN
esrj-75821	13	20	se	se	PROPN
esrj-75821	13	21	empleo	empleo	PROPN
esrj-75821	13	22	en	en	X
esrj-75821	13	23	la	la	PROPN
esrj-75821	13	24	evaluación	evaluación	PROPN
esrj-75821	13	25	y	y	PROPN
esrj-75821	13	26	validación	validación	PROPN
esrj-75821	13	27	.	.	PUNCT
esrj-75821	14	1	la	la	PROPN
esrj-75821	14	2	pluviosidad	pluviosidad	PROPN
esrj-75821	14	3	mensual	mensual	PROPN
esrj-75821	14	4	,	,	PUNCT
esrj-75821	14	5	el	el	PROPN
esrj-75821	14	6	índice	índice	PROPN
esrj-75821	14	7	topográfico	topográfico	PROPN
esrj-75821	14	8	de	de	PROPN
esrj-75821	14	9	humedad	humedad	PROPN
esrj-75821	14	10	(	(	PUNCT
esrj-75821	14	11	twi	twi	INTJ
esrj-75821	14	12	index	index	NOUN
esrj-75821	14	13	)	)	PUNCT
esrj-75821	14	14	,	,	PUNCT
esrj-75821	14	15	la	la	X
esrj-75821	14	16	distancia	distancia	PROPN
esrj-75821	14	17	al	al	PROPN
esrj-75821	14	18	río	río	PROPN
esrj-75821	14	19	y	y	PROPN
esrj-75821	14	20	la	la	PROPN
esrj-75821	14	21	ubicación	ubicación	PROPN
esrj-75821	14	22	geográfica	geográfica	PROPN
esrj-75821	14	23	fueron	fueron	PROPN
esrj-75821	14	24	los	los	PROPN
esrj-75821	14	25	datos	datos	PROPN
esrj-75821	14	26	ingresados	ingresados	PROPN
esrj-75821	14	27	,	,	PUNCT
esrj-75821	14	28	mientras	mientras	X
esrj-75821	14	29	que	que	PROPN
esrj-75821	14	30	el	el	PROPN
esrj-75821	14	31	índice	índice	PROPN
esrj-75821	14	32	de	de	X
esrj-75821	14	33	agua	agua	PROPN
esrj-75821	14	34	subterránea	subterránea	PROPN
esrj-75821	14	35	es	es	PROPN
esrj-75821	14	36	el	el	PROPN
esrj-75821	14	37	resultado	resultado	PROPN
esrj-75821	14	38	de	de	PROPN
esrj-75821	14	39	cada	cada	PROPN
esrj-75821	14	40	método	método	X
esrj-75821	14	41	.	.	PUNCT
esrj-75821	15	1	se	se	PROPN
esrj-75821	15	2	observó	observó	PROPN
esrj-75821	15	3	que	que	PROPN
esrj-75821	15	4	el	el	PROPN
esrj-75821	15	5	modelo	modelo	PROPN
esrj-75821	15	6	ann	ann	PROPN
esrj-75821	15	7	es	es	PROPN
esrj-75821	15	8	el	el	PROPN
esrj-75821	15	9	de	de	PROPN
esrj-75821	15	10	mayor	mayor	PROPN
esrj-75821	15	11	eficiencia	eficiencia	PROPN
esrj-75821	15	12	,	,	PUNCT
esrj-75821	15	13	y	y	PROPN
esrj-75821	15	14	que	que	PROPN
esrj-75821	15	15	es	es	X
esrj-75821	15	16	acorde	acorde	ADJ
esrj-75821	15	17	con	con	PROPN
esrj-75821	15	18	otros	otros	PROPN
esrj-75821	15	19	hallazgos	hallazgo	NOUN
esrj-75821	15	20	.	.	PUNCT
esrj-75821	16	1	los	los	PROPN
esrj-75821	16	2	resultados	resultados	PROPN
esrj-75821	16	3	del	del	PROPN
esrj-75821	16	4	modelo	modelo	PROPN
esrj-75821	16	5	ann	ann	PROPN
esrj-75821	16	6	se	se	PROPN
esrj-75821	16	7	utilizaron	utilizaron	PROPN
esrj-75821	16	8	en	en	PROPN
esrj-75821	16	9	la	la	PROPN
esrj-75821	16	10	preparación	preparación	PROPN
esrj-75821	16	11	del	del	PROPN
esrj-75821	16	12	mapa	mapa	PROPN
esrj-75821	16	13	de	de	PROPN
esrj-75821	16	14	distribución	distribución	PROPN
esrj-75821	16	15	de	de	X
esrj-75821	16	16	aguas	aguas	PROPN
esrj-75821	16	17	freáticas	freáticas	PROPN
esrj-75821	16	18	o	o	PROPN
esrj-75821	16	19	subterráneas	subterránea	NOUN
esrj-75821	16	20	.	.	PUNCT
esrj-75821	17	1	de	de	X
esrj-75821	17	2	acuerdo	acuerdo	PROPN
esrj-75821	17	3	con	con	PROPN
esrj-75821	17	4	el	el	PROPN
esrj-75821	17	5	mapa	mapa	PROPN
esrj-75821	17	6	de	de	PROPN
esrj-75821	17	7	desertificación	desertificación	PROPN
esrj-75821	17	8	potencial	potencial	PROPN
esrj-75821	17	9	y	y	PROPN
esrj-75821	17	10	el	el	PROPN
esrj-75821	17	11	índice	índice	PROPN
esrj-75821	17	12	de	de	PROPN
esrj-75821	17	13	agua	agua	PROPN
esrj-75821	17	14	subterránea	subterránea	PROPN
esrj-75821	17	15	,	,	PUNCT
esrj-75821	17	16	el	el	PROPN
esrj-75821	17	17	potencial	potencial	PROPN
esrj-75821	17	18	de	de	X
esrj-75821	17	19	la	la	PROPN
esrj-75821	17	20	desertificación	desertificación	PROPN
esrj-75821	17	21	se	se	PROPN
esrj-75821	17	22	ha	ha	PROPN
esrj-75821	17	23	vuelto	vuelto	PROPN
esrj-75821	17	24	severa	severa	PROPN
esrj-75821	17	25	desde	desde	PROPN
esrj-75821	17	26	2002	2002	NUM
esrj-75821	17	27	.	.	PUNCT
esrj-75821	18	1	esto	esto	PROPN
esrj-75821	18	2	significa	significa	PROPN
esrj-75821	18	3	que	que	PROPN
esrj-75821	18	4	desde	desde	PROPN
esrj-75821	18	5	el	el	PROPN
esrj-75821	18	6	60	60	NUM
esrj-75821	18	7	%	%	NOUN
esrj-75821	18	8	del	del	PROPN
esrj-75821	18	9	suelo	suelo	NOUN
esrj-75821	18	10	que	que	X
esrj-75821	18	11	,	,	PUNCT
esrj-75821	18	12	debido	debido	PROPN
esrj-75821	18	13	a	a	DET
esrj-75821	18	14	un	un	PROPN
esrj-75821	18	15	manejo	manejo	PROPN
esrj-75821	18	16	incorrecto	incorrecto	PROPN
esrj-75821	18	17	en	en	PROPN
esrj-75821	18	18	2016	2016	NUM
esrj-75821	18	19	,	,	PUNCT
esrj-75821	18	20	se	se	X
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esrj-75821	18	22	hasta	hasta	PROPN
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esrj-75821	19	1	el	el	PROPN
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esrj-75821	19	3	%	%	NOUN
esrj-75821	19	4	de	de	X
esrj-75821	19	5	terreno	terreno	PROPN
esrj-75821	19	6	en	en	PROPN
esrj-75821	19	7	el	el	PROPN
esrj-75821	19	8	área	área	PROPN
esrj-75821	19	9	de	de	PROPN
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esrj-75821	19	11	.	.	PUNCT
esrj-75821	20	1	con	con	PROPN
esrj-75821	20	2	el	el	PROPN
esrj-75821	20	3	modelo	modelo	PROPN
esrj-75821	20	4	ann	ann	PROPN
esrj-75821	20	5	se	se	PROPN
esrj-75821	20	6	predice	predice	PROPN
esrj-75821	20	7	que	que	PROPN
esrj-75821	20	8	el	el	PROPN
esrj-75821	20	9	100	100	NUM
esrj-75821	20	10	%	%	NOUN
esrj-75821	20	11	del	del	PROPN
esrj-75821	20	12	área	área	PROPN
esrj-75821	20	13	se	se	PROPN
esrj-75821	20	14	degradará	degradará	PROPN
esrj-75821	20	15	severamente	severamente	PROPN
esrj-75821	20	16	para	para	PROPN
esrj-75821	20	17	2025	2025	NUM
esrj-75821	20	18	.	.	PUNCT
esrj-75821	21	1	además	además	PROPN
esrj-75821	21	2	de	de	PROPN
esrj-75821	21	3	la	la	PROPN
esrj-75821	21	4	variación	variación	PROPN
esrj-75821	21	5	del	del	PROPN
esrj-75821	21	6	objetivo	objetivo	PROPN
esrj-75821	21	7	,	,	PUNCT
esrj-75821	21	8	la	la	ADP
esrj-75821	21	9	latitud	latitud	ADJ
esrj-75821	21	10	y	y	PROPN
esrj-75821	21	11	la	la	PROPN
esrj-75821	21	12	longitud	longitud	PROPN
esrj-75821	21	13	juegan	juegan	PROPN
esrj-75821	21	14	papeles	papeles	PROPN
esrj-75821	21	15	importantes	importante	VERB
esrj-75821	21	16	en	en	AUX
esrj-75821	21	17	el	el	PROPN
esrj-75821	21	18	kriging	krige	VERB
esrj-75821	21	19	ordinario	ordinario	PROPN
esrj-75821	21	20	y	y	PROPN
esrj-75821	21	21	en	en	PROPN
esrj-75821	21	22	la	la	PROPN
esrj-75821	21	23	reducción	reducción	PROPN
esrj-75821	21	24	del	del	PROPN
esrj-75821	21	25	error	error	NOUN
esrj-75821	21	26	total	total	NOUN
esrj-75821	21	27	de	de	X
esrj-75821	21	28	los	los	PROPN
esrj-75821	21	29	dos	dos	PROPN
esrj-75821	21	30	modelos	modelos	PROPN
esrj-75821	21	31	restantes	restantes	PROPN
esrj-75821	21	32	.	.	PUNCT
esrj-75821	22	1	resumen	resumen	PROPN
esrj-75821	22	2	record	record	PROPN
esrj-75821	22	3	manuscript	manuscript	NOUN
esrj-75821	22	4	received	receive	VERB
esrj-75821	22	5	:	:	PUNCT
esrj-75821	22	6	27/10/2019	27/10/2019	NUM
esrj-75821	22	7	accepted	accept	VERB
esrj-75821	22	8	for	for	ADP
esrj-75821	22	9	publication	publication	NOUN
esrj-75821	22	10	:	:	PUNCT
esrj-75821	22	11	14/12/2020	14/12/2020	NUM
esrj-75821	22	12	earth	earth	NOUN
esrj-75821	22	13	sciences	sciences	PROPN
esrj-75821	22	14	research	research	PROPN
esrj-75821	22	15	journal	journal	PROPN
esrj-75821	22	16	earth	earth	PROPN
esrj-75821	22	17	sci	sci	PROPN
esrj-75821	22	18	.	.	PUNCT
esrj-75821	23	1	res	res	PROPN
esrj-75821	23	2	.	.	PUNCT
esrj-75821	24	1	j.	j.	PROPN
esrj-75821	24	2	vol	vol	PROPN
esrj-75821	24	3	.	.	PROPN
esrj-75821	25	1	25	25	NUM
esrj-75821	25	2	,	,	PUNCT
esrj-75821	25	3	no	no	INTJ
esrj-75821	25	4	.	.	NOUN
esrj-75821	25	5	3	3	NUM
esrj-75821	25	6	(	(	PUNCT
esrj-75821	25	7	september	september	PROPN
esrj-75821	25	8	,	,	PUNCT
esrj-75821	25	9	2021	2021	NUM
esrj-75821	25	10	):	):	PUNCT
esrj-75821	25	11	353	353	NUM
esrj-75821	25	12	-	-	SYM
esrj-75821	25	13	362	362	NUM
esrj-75821	25	14	vahid	vahid	PROPN
esrj-75821	25	15	habibi1	habibi1	PROPN
esrj-75821	25	16	,	,	PUNCT
esrj-75821	25	17	hassan	hassan	PROPN
esrj-75821	25	18	ahmadi2	ahmadi2	PROPN
esrj-75821	25	19	,	,	PUNCT
esrj-75821	25	20	mohammad	mohammad	PROPN
esrj-75821	25	21	jaffari2	jaffari2	PROPN
esrj-75821	25	22	*	*	PUNCT
esrj-75821	25	23	,	,	PUNCT
esrj-75821	25	24	abolfazl	abolfazl	VERB
esrj-75821	25	25	moeini1	moeini1	PROPN
esrj-75821	25	26	1department	1department	NUM
esrj-75821	25	27	of	of	ADP
esrj-75821	25	28	natural	natural	ADJ
esrj-75821	25	29	resources	resource	NOUN
esrj-75821	25	30	and	and	CCONJ
esrj-75821	25	31	environment	environment	NOUN
esrj-75821	25	32	,	,	PUNCT
esrj-75821	25	33	science	science	NOUN
esrj-75821	25	34	and	and	CCONJ
esrj-75821	25	35	research	research	NOUN
esrj-75821	25	36	branch	branch	NOUN
esrj-75821	25	37	,	,	PUNCT
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esrj-75821	25	39	azad	azad	PROPN
esrj-75821	25	40	university	university	PROPN
esrj-75821	25	41	,	,	PUNCT
esrj-75821	25	42	tehran	tehran	PROPN
esrj-75821	25	43	,	,	PUNCT
esrj-75821	25	44	iran	iran	PROPN
esrj-75821	25	45	.	.	PUNCT
esrj-75821	26	1	2faculty	2faculty	NUM
esrj-75821	26	2	of	of	ADP
esrj-75821	26	3	natural	natural	ADJ
esrj-75821	26	4	resource	resource	NOUN
esrj-75821	26	5	,	,	PUNCT
esrj-75821	26	6	university	university	NOUN
esrj-75821	26	7	of	of	ADP
esrj-75821	26	8	tehran	tehran	PROPN
esrj-75821	26	9	,	,	PUNCT
esrj-75821	26	10	karaj	karaj	PROPN
esrj-75821	26	11	,	,	PUNCT
esrj-75821	26	12	iran	iran	PROPN
esrj-75821	26	13	.	.	PUNCT
esrj-75821	27	1	*	*	PUNCT
esrj-75821	27	2	corresponding	correspond	VERB
esrj-75821	27	3	author	author	NOUN
esrj-75821	27	4	:	:	PUNCT
esrj-75821	27	5	jafary@ut.ac.ir	jafary@ut.ac.ir	PROPN
esrj-75821	27	6	h	h	PROPN
esrj-75821	27	7	yd	yd	NOUN
esrj-75821	27	8	ro	ro	PROPN
esrj-75821	27	9	g	g	PROPN
esrj-75821	27	10	eo	eo	PROPN
esrj-75821	28	1	lo	lo	PROPN
esrj-75821	28	2	g	g	PROPN
esrj-75821	28	3	y	y	PROPN
esrj-75821	28	4	https://doi.org/10.15446/esrj.v25n3.89293	https://doi.org/10.15446/esrj.v25n3.89293	NUM
esrj-75821	28	5	https://doi.org/10.15446/esrj.v25n3.89293	https://doi.org/10.15446/esrj.v25n3.89293	X
esrj-75821	28	6	354	354	NUM
esrj-75821	28	7	vahid	vahid	PROPN
esrj-75821	28	8	habibi	habibi	PROPN
esrj-75821	28	9	,	,	PUNCT
esrj-75821	28	10	hassan	hassan	PROPN
esrj-75821	28	11	ahmadi	ahmadi	PROPN
esrj-75821	28	12	,	,	PUNCT
esrj-75821	28	13	mohammad	mohammad	PROPN
esrj-75821	28	14	jaffari	jaffari	PROPN
esrj-75821	28	15	,	,	PUNCT
esrj-75821	28	16	abolfazl	abolfazl	VERB
esrj-75821	28	17	moein	moein	PROPN
esrj-75821	28	18	1	1	NUM
esrj-75821	28	19	.	.	PUNCT
esrj-75821	29	1	introduction	introduction	NOUN
esrj-75821	29	2	resource	resource	NOUN
esrj-75821	29	3	degradation	degradation	NOUN
esrj-75821	29	4	occurs	occur	VERB
esrj-75821	29	5	gradually	gradually	ADV
esrj-75821	29	6	but	but	CCONJ
esrj-75821	29	7	monitoring	monitor	VERB
esrj-75821	29	8	land	land	NOUN
esrj-75821	29	9	and	and	CCONJ
esrj-75821	29	10	water	water	NOUN
esrj-75821	29	11	resources	resource	NOUN
esrj-75821	29	12	can	can	AUX
esrj-75821	29	13	help	help	VERB
esrj-75821	29	14	prevent	prevent	VERB
esrj-75821	29	15	potential	potential	ADJ
esrj-75821	29	16	hazards	hazard	NOUN
esrj-75821	29	17	(	(	PUNCT
esrj-75821	29	18	masoudi	masoudi	ADJ
esrj-75821	29	19	and	and	CCONJ
esrj-75821	29	20	amiri	amiri	ADV
esrj-75821	29	21	,	,	PUNCT
esrj-75821	29	22	2015	2015	NUM
esrj-75821	29	23	;	;	PUNCT
esrj-75821	29	24	masoudi	masoudi	PROPN
esrj-75821	29	25	et	et	PROPN
esrj-75821	29	26	al	al	PROPN
esrj-75821	29	27	.	.	PROPN
esrj-75821	29	28	,	,	PUNCT
esrj-75821	29	29	2018	2018	NUM
esrj-75821	29	30	;	;	PUNCT
esrj-75821	29	31	morales	morale	NOUN
esrj-75821	29	32	and	and	CCONJ
esrj-75821	29	33	zuleta	zuleta	NOUN
esrj-75821	29	34	,	,	PUNCT
esrj-75821	29	35	2020	2020	NUM
esrj-75821	29	36	)	)	PUNCT
esrj-75821	29	37	.	.	PUNCT
esrj-75821	30	1	more	more	ADJ
esrj-75821	30	2	than	than	ADP
esrj-75821	30	3	250	250	NUM
esrj-75821	30	4	million	million	NUM
esrj-75821	30	5	people	people	NOUN
esrj-75821	30	6	are	be	AUX
esrj-75821	30	7	directly	directly	ADV
esrj-75821	30	8	affected	affect	VERB
esrj-75821	30	9	by	by	ADP
esrj-75821	30	10	desertification	desertification	NOUN
esrj-75821	30	11	,	,	PUNCT
esrj-75821	30	12	and	and	CCONJ
esrj-75821	30	13	more	more	ADJ
esrj-75821	30	14	than	than	ADP
esrj-75821	30	15	one	one	NUM
esrj-75821	30	16	billion	billion	NUM
esrj-75821	30	17	people	people	NOUN
esrj-75821	30	18	in	in	ADP
esrj-75821	30	19	100	100	NUM
esrj-75821	30	20	countries	country	NOUN
esrj-75821	30	21	are	be	AUX
esrj-75821	30	22	at	at	ADP
esrj-75821	30	23	risk	risk	NOUN
esrj-75821	30	24	of	of	ADP
esrj-75821	30	25	desertification	desertification	NOUN
esrj-75821	30	26	and	and	CCONJ
esrj-75821	30	27	land	land	NOUN
esrj-75821	30	28	degradation	degradation	NOUN
esrj-75821	30	29	.	.	PUNCT
esrj-75821	31	1	it	it	PRON
esrj-75821	31	2	threats	threat	VERB
esrj-75821	31	3	about	about	ADV
esrj-75821	31	4	6	6	NUM
esrj-75821	31	5	million	million	NUM
esrj-75821	31	6	hectares	hectare	NOUN
esrj-75821	31	7	of	of	ADP
esrj-75821	31	8	the	the	DET
esrj-75821	31	9	world	world	NOUN
esrj-75821	31	10	’s	’s	PART
esrj-75821	31	11	land	land	NOUN
esrj-75821	31	12	.	.	PUNCT
esrj-75821	32	1	two	two	NUM
esrj-75821	32	2	thirds	third	NOUN
esrj-75821	32	3	of	of	ADP
esrj-75821	32	4	iran	iran	PROPN
esrj-75821	32	5	’s	’s	PART
esrj-75821	32	6	lands	land	NOUN
esrj-75821	32	7	are	be	AUX
esrj-75821	32	8	under	under	ADP
esrj-75821	32	9	desertification	desertification	NOUN
esrj-75821	32	10	or	or	CCONJ
esrj-75821	32	11	degraded	degraded	ADJ
esrj-75821	32	12	.	.	PUNCT
esrj-75821	33	1	unfortunately	unfortunately	ADV
esrj-75821	33	2	,	,	PUNCT
esrj-75821	33	3	due	due	ADP
esrj-75821	33	4	to	to	ADP
esrj-75821	33	5	natural	natural	ADJ
esrj-75821	33	6	and	and	CCONJ
esrj-75821	33	7	human	human	ADJ
esrj-75821	33	8	factors	factor	NOUN
esrj-75821	33	9	,	,	PUNCT
esrj-75821	33	10	land	land	NOUN
esrj-75821	33	11	degradation	degradation	NOUN
esrj-75821	33	12	is	be	AUX
esrj-75821	33	13	progressing	progress	VERB
esrj-75821	33	14	recently	recently	ADV
esrj-75821	33	15	(	(	PUNCT
esrj-75821	33	16	gibbs	gibbs	PROPN
esrj-75821	33	17	and	and	CCONJ
esrj-75821	33	18	salmon	salmon	NOUN
esrj-75821	33	19	,	,	PUNCT
esrj-75821	33	20	2015	2015	NUM
esrj-75821	33	21	;	;	PUNCT
esrj-75821	33	22	dubovyk	dubovyk	NOUN
esrj-75821	33	23	,	,	PUNCT
esrj-75821	33	24	2017	2017	NUM
esrj-75821	33	25	;	;	PUNCT
esrj-75821	33	26	ferrara	ferrara	NOUN
esrj-75821	33	27	et	et	PROPN
esrj-75821	33	28	al	al	PROPN
esrj-75821	33	29	.	.	PROPN
esrj-75821	33	30	,	,	PUNCT
esrj-75821	33	31	2020	2020	NUM
esrj-75821	33	32	)	)	PUNCT
esrj-75821	33	33	.	.	PUNCT
esrj-75821	34	1	since	since	SCONJ
esrj-75821	34	2	four	four	NUM
esrj-75821	34	3	hundred	hundred	NUM
esrj-75821	34	4	years	year	NOUN
esrj-75821	34	5	ago	ago	ADV
esrj-75821	34	6	,	,	PUNCT
esrj-75821	34	7	30	30	NUM
esrj-75821	34	8	%	%	NOUN
esrj-75821	34	9	of	of	ADP
esrj-75821	34	10	the	the	DET
esrj-75821	34	11	natural	natural	ADJ
esrj-75821	34	12	forests	forest	NOUN
esrj-75821	34	13	and	and	CCONJ
esrj-75821	34	14	rangelands	rangeland	NOUN
esrj-75821	34	15	converted	convert	VERB
esrj-75821	34	16	into	into	ADP
esrj-75821	34	17	pastures	pasture	NOUN
esrj-75821	34	18	and	and	CCONJ
esrj-75821	34	19	farmlands	farmland	NOUN
esrj-75821	34	20	and	and	CCONJ
esrj-75821	34	21	caused	cause	VERB
esrj-75821	34	22	soil	soil	NOUN
esrj-75821	34	23	organic	organic	ADJ
esrj-75821	34	24	carbon	carbon	NOUN
esrj-75821	34	25	loss	loss	NOUN
esrj-75821	34	26	,	,	PUNCT
esrj-75821	34	27	soil	soil	NOUN
esrj-75821	34	28	structure	structure	NOUN
esrj-75821	34	29	decline	decline	NOUN
esrj-75821	34	30	and	and	CCONJ
esrj-75821	34	31	changes	change	NOUN
esrj-75821	34	32	in	in	ADP
esrj-75821	34	33	soil	soil	NOUN
esrj-75821	34	34	physical	physical	ADJ
esrj-75821	34	35	and	and	CCONJ
esrj-75821	34	36	chemical	chemical	NOUN
esrj-75821	34	37	properties	property	NOUN
esrj-75821	34	38	(	(	PUNCT
esrj-75821	34	39	yaghobi	yaghobi	NOUN
esrj-75821	34	40	et	et	PROPN
esrj-75821	34	41	al	al	PROPN
esrj-75821	34	42	.	.	PROPN
esrj-75821	34	43	,	,	PUNCT
esrj-75821	34	44	2018	2018	NUM
esrj-75821	34	45	;	;	PUNCT
esrj-75821	34	46	afzaal	afzaal	PROPN
esrj-75821	34	47	et	et	PROPN
esrj-75821	34	48	al	al	PROPN
esrj-75821	34	49	.	.	PROPN
esrj-75821	34	50	,	,	PUNCT
esrj-75821	34	51	2020	2020	NUM
esrj-75821	34	52	)	)	PUNCT
esrj-75821	34	53	.	.	PUNCT
esrj-75821	35	1	more	more	ADJ
esrj-75821	35	2	than	than	ADP
esrj-75821	35	3	twothirds	twothird	NOUN
esrj-75821	35	4	of	of	ADP
esrj-75821	35	5	iran	iran	PROPN
esrj-75821	35	6	has	have	AUX
esrj-75821	35	7	arid	arid	NOUN
esrj-75821	35	8	and	and	CCONJ
esrj-75821	35	9	semi	semi	ADJ
esrj-75821	35	10	-	-	ADJ
esrj-75821	35	11	arid	arid	ADJ
esrj-75821	35	12	climate	climate	NOUN
esrj-75821	35	13	and	and	CCONJ
esrj-75821	35	14	drought	drought	NOUN
esrj-75821	35	15	,	,	PUNCT
esrj-75821	35	16	air	air	NOUN
esrj-75821	35	17	pollution	pollution	NOUN
esrj-75821	35	18	and	and	CCONJ
esrj-75821	35	19	climate	climate	NOUN
esrj-75821	35	20	change	change	NOUN
esrj-75821	35	21	contributed	contribute	VERB
esrj-75821	35	22	to	to	ADP
esrj-75821	35	23	iran	iran	PROPN
esrj-75821	35	24	’s	’s	PART
esrj-75821	35	25	current	current	ADJ
esrj-75821	35	26	environmental	environmental	ADJ
esrj-75821	35	27	crisis	crisis	NOUN
esrj-75821	35	28	especially	especially	ADV
esrj-75821	35	29	in	in	ADP
esrj-75821	35	30	the	the	DET
esrj-75821	35	31	central	central	ADJ
esrj-75821	35	32	,	,	PUNCT
esrj-75821	35	33	west	west	ADJ
esrj-75821	35	34	and	and	CCONJ
esrj-75821	35	35	southwestern	southwestern	ADJ
esrj-75821	35	36	regions	region	NOUN
esrj-75821	35	37	.	.	PUNCT
esrj-75821	36	1	now	now	ADV
esrj-75821	36	2	,	,	PUNCT
esrj-75821	36	3	the	the	DET
esrj-75821	36	4	major	major	ADJ
esrj-75821	36	5	land	land	NOUN
esrj-75821	36	6	-	-	PUNCT
esrj-75821	36	7	degradation	degradation	NOUN
esrj-75821	36	8	research	research	NOUN
esrj-75821	36	9	focuses	focus	VERB
esrj-75821	36	10	on	on	ADP
esrj-75821	36	11	the	the	DET
esrj-75821	36	12	evaluation	evaluation	NOUN
esrj-75821	36	13	and	and	CCONJ
esrj-75821	36	14	monitoring	monitoring	NOUN
esrj-75821	36	15	based	base	VERB
esrj-75821	36	16	on	on	ADP
esrj-75821	36	17	the	the	DET
esrj-75821	36	18	different	different	ADJ
esrj-75821	36	19	data	datum	NOUN
esrj-75821	36	20	sources	source	NOUN
esrj-75821	36	21	,	,	PUNCT
esrj-75821	36	22	conservation	conservation	NOUN
esrj-75821	36	23	and	and	CCONJ
esrj-75821	36	24	ecological	ecological	ADJ
esrj-75821	36	25	restoration	restoration	NOUN
esrj-75821	36	26	,	,	PUNCT
esrj-75821	36	27	and	and	CCONJ
esrj-75821	36	28	determination	determination	NOUN
esrj-75821	36	29	of	of	ADP
esrj-75821	36	30	driving	drive	VERB
esrj-75821	36	31	factors	factor	NOUN
esrj-75821	36	32	at	at	ADP
esrj-75821	36	33	different	different	ADJ
esrj-75821	36	34	spatial	spatial	ADJ
esrj-75821	36	35	and	and	CCONJ
esrj-75821	36	36	temporal	temporal	ADJ
esrj-75821	36	37	scales	scale	NOUN
esrj-75821	36	38	,	,	PUNCT
esrj-75821	36	39	trend	trend	NOUN
esrj-75821	36	40	simulation	simulation	NOUN
esrj-75821	36	41	development	development	NOUN
esrj-75821	36	42	and	and	CCONJ
esrj-75821	36	43	predictive	predictive	ADJ
esrj-75821	36	44	quantitative	quantitative	ADJ
esrj-75821	36	45	models	model	NOUN
esrj-75821	36	46	(	(	PUNCT
esrj-75821	36	47	xie	xie	PROPN
esrj-75821	36	48	et	et	PROPN
esrj-75821	36	49	al	al	PROPN
esrj-75821	36	50	.	.	PROPN
esrj-75821	36	51	,	,	PUNCT
esrj-75821	36	52	2020	2020	NUM
esrj-75821	36	53	)	)	PUNCT
esrj-75821	36	54	.	.	PUNCT
esrj-75821	37	1	various	various	ADJ
esrj-75821	37	2	models	model	NOUN
esrj-75821	37	3	are	be	AUX
esrj-75821	37	4	introduced	introduce	VERB
esrj-75821	37	5	for	for	ADP
esrj-75821	37	6	land	land	NOUN
esrj-75821	37	7	degradation	degradation	NOUN
esrj-75821	37	8	monitoring	monitoring	NOUN
esrj-75821	37	9	such	such	ADJ
esrj-75821	37	10	as	as	ADP
esrj-75821	37	11	fao	fao	ADJ
esrj-75821	37	12	–	–	PUNCT
esrj-75821	37	13	unep	unep	NOUN
esrj-75821	37	14	(	(	PUNCT
esrj-75821	37	15	1984	1984	NUM
esrj-75821	37	16	)	)	PUNCT
esrj-75821	37	17	,	,	PUNCT
esrj-75821	37	18	environmental	environmental	ADJ
esrj-75821	37	19	sensitive	sensitive	ADJ
esrj-75821	37	20	area	area	NOUN
esrj-75821	37	21	;	;	PUNCT
esrj-75821	37	22	esa	esa	PROPN
esrj-75821	37	23	(	(	PUNCT
esrj-75821	37	24	kosmas	kosmas	PROPN
esrj-75821	37	25	et	et	PROPN
esrj-75821	37	26	al	al	PROPN
esrj-75821	37	27	.	.	PROPN
esrj-75821	37	28	,	,	PUNCT
esrj-75821	37	29	1999	1999	NUM
esrj-75821	37	30	)	)	PUNCT
esrj-75821	37	31	,	,	PUNCT
esrj-75821	37	32	modified	modify	VERB
esrj-75821	37	33	iranian	iranian	ADJ
esrj-75821	37	34	classification	classification	NOUN
esrj-75821	37	35	of	of	ADP
esrj-75821	37	36	desertification	desertification	NOUN
esrj-75821	37	37	;	;	PUNCT
esrj-75821	37	38	micd	micd	NOUN
esrj-75821	37	39	(	(	PUNCT
esrj-75821	37	40	ekhtesasi	ekhtesasi	NOUN
esrj-75821	37	41	and	and	CCONJ
esrj-75821	37	42	mohajeri	mohajeri	ADJ
esrj-75821	37	43	,	,	PUNCT
esrj-75821	37	44	1995	1995	NUM
esrj-75821	37	45	)	)	PUNCT
esrj-75821	37	46	,	,	PUNCT
esrj-75821	37	47	the	the	DET
esrj-75821	37	48	global	global	ADJ
esrj-75821	37	49	assessment	assessment	NOUN
esrj-75821	37	50	of	of	ADP
esrj-75821	37	51	soil	soil	NOUN
esrj-75821	37	52	degradation	degradation	NOUN
esrj-75821	37	53	;	;	PUNCT
esrj-75821	37	54	glasod	glasod	PROPN
esrj-75821	37	55	(	(	PUNCT
esrj-75821	37	56	oldeman	oldeman	NOUN
esrj-75821	37	57	et	et	PROPN
esrj-75821	37	58	al	al	PROPN
esrj-75821	37	59	.	.	PROPN
esrj-75821	37	60	,	,	PUNCT
esrj-75821	37	61	1991	1991	NUM
esrj-75821	37	62	)	)	PUNCT
esrj-75821	37	63	,	,	PUNCT
esrj-75821	37	64	global	global	ADJ
esrj-75821	37	65	assessment	assessment	NOUN
esrj-75821	37	66	of	of	ADP
esrj-75821	37	67	the	the	DET
esrj-75821	37	68	status	status	NOUN
esrj-75821	37	69	of	of	ADP
esrj-75821	37	70	human	human	NOUN
esrj-75821	37	71	-	-	PUNCT
esrj-75821	37	72	induced	induce	VERB
esrj-75821	37	73	soil	soil	NOUN
esrj-75821	37	74	degradation	degradation	NOUN
esrj-75821	37	75	;	;	PUNCT
esrj-75821	37	76	assod	assod	PROPN
esrj-75821	37	77	(	(	PUNCT
esrj-75821	37	78	van	van	PROPN
esrj-75821	37	79	lynden	lynden	PROPN
esrj-75821	37	80	and	and	CCONJ
esrj-75821	37	81	oldeman	oldeman	NOUN
esrj-75821	37	82	,	,	PUNCT
esrj-75821	37	83	1997	1997	NUM
esrj-75821	37	84	)	)	PUNCT
esrj-75821	37	85	,	,	PUNCT
esrj-75821	37	86	the	the	DET
esrj-75821	37	87	land	land	NOUN
esrj-75821	37	88	degradation	degradation	NOUN
esrj-75821	37	89	assessment	assessment	NOUN
esrj-75821	37	90	in	in	ADP
esrj-75821	37	91	dry	dry	ADJ
esrj-75821	37	92	lands	land	NOUN
esrj-75821	37	93	(	(	PUNCT
esrj-75821	37	94	lada	lada	PROPN
esrj-75821	37	95	)	)	PUNCT
esrj-75821	37	96	(	(	PUNCT
esrj-75821	37	97	fao	fao	PROPN
esrj-75821	37	98	,	,	PUNCT
esrj-75821	37	99	2002	2002	NUM
esrj-75821	37	100	)	)	PUNCT
esrj-75821	37	101	;	;	PUNCT
esrj-75821	37	102	the	the	DET
esrj-75821	37	103	iranian	iranian	ADJ
esrj-75821	37	104	model	model	NOUN
esrj-75821	37	105	of	of	ADP
esrj-75821	37	106	desertification	desertification	NOUN
esrj-75821	37	107	potential	potential	ADJ
esrj-75821	37	108	assessment	assessment	NOUN
esrj-75821	37	109	(	(	PUNCT
esrj-75821	37	110	imdpa	imdpa	ADJ
esrj-75821	37	111	)	)	PUNCT
esrj-75821	37	112	(	(	PUNCT
esrj-75821	37	113	ahmadi	ahmadi	PROPN
esrj-75821	37	114	,	,	PUNCT
esrj-75821	37	115	2008	2008	NUM
esrj-75821	37	116	)	)	PUNCT
esrj-75821	37	117	.	.	PUNCT
esrj-75821	38	1	the	the	DET
esrj-75821	38	2	models	model	NOUN
esrj-75821	38	3	considered	consider	VERB
esrj-75821	38	4	various	various	ADJ
esrj-75821	38	5	criteria	criterion	NOUN
esrj-75821	38	6	and	and	CCONJ
esrj-75821	38	7	indices	index	NOUN
esrj-75821	38	8	to	to	PART
esrj-75821	38	9	evaluate	evaluate	VERB
esrj-75821	38	10	potential	potential	ADJ
esrj-75821	38	11	resource	resource	NOUN
esrj-75821	38	12	degradation	degradation	NOUN
esrj-75821	38	13	and	and	CCONJ
esrj-75821	38	14	many	many	ADJ
esrj-75821	38	15	of	of	ADP
esrj-75821	38	16	these	these	DET
esrj-75821	38	17	models	model	NOUN
esrj-75821	38	18	determined	determine	VERB
esrj-75821	38	19	fluctuations	fluctuation	NOUN
esrj-75821	38	20	of	of	ADP
esrj-75821	38	21	groundwater	groundwater	NOUN
esrj-75821	38	22	through	through	ADP
esrj-75821	38	23	years	year	NOUN
esrj-75821	38	24	and	and	CCONJ
esrj-75821	38	25	seasons	season	NOUN
esrj-75821	38	26	.	.	PUNCT
esrj-75821	39	1	these	these	DET
esrj-75821	39	2	models	model	NOUN
esrj-75821	39	3	provided	provide	VERB
esrj-75821	39	4	vital	vital	ADJ
esrj-75821	39	5	information	information	NOUN
esrj-75821	39	6	for	for	ADP
esrj-75821	39	7	farming	farming	NOUN
esrj-75821	39	8	plans	plan	NOUN
esrj-75821	39	9	,	,	PUNCT
esrj-75821	39	10	farming	farming	NOUN
esrj-75821	39	11	dates	date	NOUN
esrj-75821	39	12	and	and	CCONJ
esrj-75821	39	13	rangeland	rangeland	NOUN
esrj-75821	39	14	improvement	improvement	NOUN
esrj-75821	39	15	and	and	CCONJ
esrj-75821	39	16	development	development	NOUN
esrj-75821	39	17	programs	program	NOUN
esrj-75821	39	18	.	.	PUNCT
esrj-75821	40	1	for	for	ADP
esrj-75821	40	2	the	the	DET
esrj-75821	40	3	reason	reason	NOUN
esrj-75821	40	4	of	of	ADP
esrj-75821	40	5	fragility	fragility	NOUN
esrj-75821	40	6	in	in	ADP
esrj-75821	40	7	dry	dry	ADJ
esrj-75821	40	8	land	land	NOUN
esrj-75821	40	9	ecosystem	ecosystem	NOUN
esrj-75821	40	10	,	,	PUNCT
esrj-75821	40	11	reliable	reliable	ADJ
esrj-75821	40	12	sources	source	NOUN
esrj-75821	40	13	of	of	ADP
esrj-75821	40	14	water	water	NOUN
esrj-75821	40	15	like	like	ADP
esrj-75821	40	16	groundwater	groundwater	NOUN
esrj-75821	40	17	should	should	AUX
esrj-75821	40	18	be	be	AUX
esrj-75821	40	19	provided	provide	VERB
esrj-75821	40	20	(	(	PUNCT
esrj-75821	40	21	shammout	shammout	PROPN
esrj-75821	40	22	et	et	PROPN
esrj-75821	40	23	al	al	PROPN
esrj-75821	40	24	.	.	PROPN
esrj-75821	40	25	,	,	PUNCT
esrj-75821	40	26	2018	2018	NUM
esrj-75821	40	27	;	;	PUNCT
esrj-75821	40	28	chen	chen	PROPN
esrj-75821	40	29	et	et	PROPN
esrj-75821	40	30	al	al	PROPN
esrj-75821	40	31	.	.	PROPN
esrj-75821	40	32	,	,	PUNCT
esrj-75821	40	33	2020	2020	NUM
esrj-75821	40	34	)	)	PUNCT
esrj-75821	40	35	.	.	PUNCT
esrj-75821	41	1	various	various	ADJ
esrj-75821	41	2	authors	author	NOUN
esrj-75821	41	3	emphasized	emphasize	VERB
esrj-75821	41	4	that	that	SCONJ
esrj-75821	41	5	extraordinary	extraordinary	ADJ
esrj-75821	41	6	consumption	consumption	NOUN
esrj-75821	41	7	of	of	ADP
esrj-75821	41	8	the	the	DET
esrj-75821	41	9	world	world	NOUN
esrj-75821	41	10	’s	’s	PART
esrj-75821	41	11	groundwater	groundwater	NOUN
esrj-75821	41	12	,	,	PUNCT
esrj-75821	41	13	mainly	mainly	ADV
esrj-75821	41	14	in	in	ADP
esrj-75821	41	15	most	most	ADJ
esrj-75821	41	16	of	of	ADP
esrj-75821	41	17	the	the	DET
esrj-75821	41	18	middle	middle	ADJ
esrj-75821	41	19	eastern	eastern	ADJ
esrj-75821	41	20	countries	country	NOUN
esrj-75821	41	21	,	,	PUNCT
esrj-75821	41	22	has	have	AUX
esrj-75821	41	23	affected	affect	VERB
esrj-75821	41	24	the	the	DET
esrj-75821	41	25	quality	quality	NOUN
esrj-75821	41	26	of	of	ADP
esrj-75821	41	27	groundwater	groundwater	NOUN
esrj-75821	41	28	and	and	CCONJ
esrj-75821	41	29	has	have	AUX
esrj-75821	41	30	contributed	contribute	VERB
esrj-75821	41	31	to	to	ADP
esrj-75821	41	32	the	the	DET
esrj-75821	41	33	reduction	reduction	NOUN
esrj-75821	41	34	of	of	ADP
esrj-75821	41	35	crop	crop	NOUN
esrj-75821	41	36	per	per	ADP
esrj-75821	41	37	unit	unit	NOUN
esrj-75821	41	38	area	area	NOUN
esrj-75821	41	39	in	in	ADP
esrj-75821	41	40	farmlands	farmland	NOUN
esrj-75821	41	41	(	(	PUNCT
esrj-75821	41	42	verner	verner	NOUN
esrj-75821	41	43	et	et	PROPN
esrj-75821	41	44	al	al	PROPN
esrj-75821	41	45	.	.	PROPN
esrj-75821	41	46	,	,	PUNCT
esrj-75821	41	47	2013	2013	NUM
esrj-75821	41	48	;	;	PUNCT
esrj-75821	41	49	parizi	parizi	NOUN
esrj-75821	41	50	et	et	PROPN
esrj-75821	41	51	al	al	PROPN
esrj-75821	41	52	.	.	PROPN
esrj-75821	41	53	,	,	PUNCT
esrj-75821	41	54	2019	2019	NUM
esrj-75821	41	55	;	;	PUNCT
esrj-75821	41	56	mirzaei	mirzaei	PROPN
esrj-75821	41	57	et	et	PROPN
esrj-75821	41	58	al	al	PROPN
esrj-75821	41	59	.	.	PROPN
esrj-75821	41	60	,	,	PUNCT
esrj-75821	41	61	2019	2019	NUM
esrj-75821	41	62	)	)	PUNCT
esrj-75821	41	63	.	.	PUNCT
esrj-75821	42	1	therefore	therefore	ADV
esrj-75821	42	2	,	,	PUNCT
esrj-75821	42	3	the	the	DET
esrj-75821	42	4	wise	wise	ADJ
esrj-75821	42	5	management	management	NOUN
esrj-75821	42	6	of	of	ADP
esrj-75821	42	7	resources	resource	NOUN
esrj-75821	42	8	guarantees	guarantee	VERB
esrj-75821	42	9	the	the	DET
esrj-75821	42	10	survival	survival	NOUN
esrj-75821	42	11	of	of	ADP
esrj-75821	42	12	human	human	ADJ
esrj-75821	42	13	societies	society	NOUN
esrj-75821	42	14	(	(	PUNCT
esrj-75821	42	15	mohanty	mohanty	PROPN
esrj-75821	42	16	et	et	PROPN
esrj-75821	42	17	al	al	PROPN
esrj-75821	42	18	.	.	PROPN
esrj-75821	42	19	,	,	PUNCT
esrj-75821	42	20	2010	2010	NUM
esrj-75821	42	21	)	)	PUNCT
esrj-75821	42	22	.	.	PUNCT
esrj-75821	43	1	and	and	CCONJ
esrj-75821	43	2	because	because	SCONJ
esrj-75821	43	3	of	of	ADP
esrj-75821	43	4	climatic	climatic	ADJ
esrj-75821	43	5	and	and	CCONJ
esrj-75821	43	6	topographic	topographic	ADJ
esrj-75821	43	7	conditions	condition	NOUN
esrj-75821	43	8	in	in	ADP
esrj-75821	43	9	iran	iran	PROPN
esrj-75821	43	10	,	,	PUNCT
esrj-75821	43	11	groundwater	groundwater	NOUN
esrj-75821	43	12	is	be	AUX
esrj-75821	43	13	very	very	ADV
esrj-75821	43	14	important	important	ADJ
esrj-75821	43	15	in	in	ADP
esrj-75821	43	16	ensuring	ensure	VERB
esrj-75821	43	17	food	food	NOUN
esrj-75821	43	18	security	security	NOUN
esrj-75821	43	19	(	(	PUNCT
esrj-75821	43	20	ashrafzadeh	ashrafzadeh	INTJ
esrj-75821	43	21	et	et	PROPN
esrj-75821	43	22	al	al	PROPN
esrj-75821	43	23	.	.	PROPN
esrj-75821	43	24	,	,	PUNCT
esrj-75821	43	25	2016	2016	NUM
esrj-75821	43	26	)	)	PUNCT
esrj-75821	43	27	.	.	PUNCT
esrj-75821	44	1	groundwater	groundwater	NOUN
esrj-75821	44	2	is	be	AUX
esrj-75821	44	3	the	the	DET
esrj-75821	44	4	main	main	ADJ
esrj-75821	44	5	resource	resource	NOUN
esrj-75821	44	6	of	of	ADP
esrj-75821	44	7	water	water	NOUN
esrj-75821	44	8	for	for	ADP
esrj-75821	44	9	the	the	DET
esrj-75821	44	10	agriculture	agriculture	NOUN
esrj-75821	44	11	industry	industry	NOUN
esrj-75821	44	12	(	(	PUNCT
esrj-75821	44	13	jafari	jafari	PROPN
esrj-75821	44	14	et	et	PROPN
esrj-75821	44	15	al	al	PROPN
esrj-75821	44	16	.	.	PROPN
esrj-75821	44	17	,	,	PUNCT
esrj-75821	44	18	2018	2018	NUM
esrj-75821	44	19	)	)	PUNCT
esrj-75821	44	20	.	.	PUNCT
esrj-75821	45	1	a	a	DET
esrj-75821	45	2	couple	couple	NOUN
esrj-75821	45	3	of	of	ADP
esrj-75821	45	4	years	year	NOUN
esrj-75821	45	5	back	back	ADV
esrj-75821	45	6	,	,	PUNCT
esrj-75821	45	7	in	in	ADP
esrj-75821	45	8	the	the	DET
esrj-75821	45	9	absence	absence	NOUN
esrj-75821	45	10	of	of	ADP
esrj-75821	45	11	land	land	NOUN
esrj-75821	45	12	use	use	NOUN
esrj-75821	45	13	planning	planning	NOUN
esrj-75821	45	14	,	,	PUNCT
esrj-75821	45	15	a	a	DET
esrj-75821	45	16	huge	huge	ADJ
esrj-75821	45	17	volume	volume	NOUN
esrj-75821	45	18	of	of	ADP
esrj-75821	45	19	groundwater	groundwater	NOUN
esrj-75821	45	20	was	be	AUX
esrj-75821	45	21	consumed	consume	VERB
esrj-75821	45	22	which	which	PRON
esrj-75821	45	23	led	lead	VERB
esrj-75821	45	24	to	to	ADP
esrj-75821	45	25	financial	financial	ADJ
esrj-75821	45	26	problems	problem	NOUN
esrj-75821	45	27	(	(	PUNCT
esrj-75821	45	28	wu	wu	PROPN
esrj-75821	45	29	et	et	PROPN
esrj-75821	45	30	al	al	PROPN
esrj-75821	45	31	.	.	PROPN
esrj-75821	45	32	,	,	PUNCT
esrj-75821	45	33	2020	2020	NUM
esrj-75821	45	34	)	)	PUNCT
esrj-75821	45	35	.	.	PUNCT
esrj-75821	46	1	the	the	DET
esrj-75821	46	2	central	central	ADJ
esrj-75821	46	3	plains	plain	NOUN
esrj-75821	46	4	of	of	ADP
esrj-75821	46	5	iran	iran	PROPN
esrj-75821	46	6	are	be	AUX
esrj-75821	46	7	facing	face	VERB
esrj-75821	46	8	the	the	DET
esrj-75821	46	9	complication	complication	NOUN
esrj-75821	46	10	of	of	ADP
esrj-75821	46	11	the	the	DET
esrj-75821	46	12	declining	decline	VERB
esrj-75821	46	13	level	level	NOUN
esrj-75821	46	14	of	of	ADP
esrj-75821	46	15	groundwater	groundwater	NOUN
esrj-75821	46	16	because	because	SCONJ
esrj-75821	46	17	of	of	ADP
esrj-75821	46	18	the	the	DET
esrj-75821	46	19	lack	lack	NOUN
esrj-75821	46	20	of	of	ADP
esrj-75821	46	21	permanent	permanent	ADJ
esrj-75821	46	22	rivers	river	NOUN
esrj-75821	46	23	and	and	CCONJ
esrj-75821	46	24	dams	dam	NOUN
esrj-75821	46	25	,	,	PUNCT
esrj-75821	46	26	mismanagement	mismanagement	NOUN
esrj-75821	46	27	of	of	ADP
esrj-75821	46	28	water	water	NOUN
esrj-75821	46	29	bodies	body	NOUN
esrj-75821	46	30	,	,	PUNCT
esrj-75821	46	31	climatic	climatic	ADJ
esrj-75821	46	32	variability	variability	NOUN
esrj-75821	46	33	,	,	PUNCT
esrj-75821	46	34	and	and	CCONJ
esrj-75821	46	35	anthropogenic	anthropogenic	ADJ
esrj-75821	46	36	activities	activity	NOUN
esrj-75821	46	37	.	.	PUNCT
esrj-75821	47	1	therefore	therefore	ADV
esrj-75821	47	2	,	,	PUNCT
esrj-75821	47	3	monitoring	monitor	VERB
esrj-75821	47	4	groundwater	groundwater	NOUN
esrj-75821	47	5	level	level	NOUN
esrj-75821	47	6	is	be	AUX
esrj-75821	47	7	vital	vital	ADJ
esrj-75821	47	8	to	to	ADP
esrj-75821	47	9	controlling	control	VERB
esrj-75821	47	10	and	and	CCONJ
esrj-75821	47	11	predicting	predict	VERB
esrj-75821	47	12	the	the	DET
esrj-75821	47	13	consumption	consumption	NOUN
esrj-75821	47	14	rate	rate	NOUN
esrj-75821	47	15	.	.	PUNCT
esrj-75821	48	1	due	due	ADP
esrj-75821	48	2	to	to	ADP
esrj-75821	48	3	the	the	DET
esrj-75821	48	4	reason	reason	NOUN
esrj-75821	48	5	that	that	PRON
esrj-75821	48	6	the	the	DET
esrj-75821	48	7	measurement	measurement	NOUN
esrj-75821	48	8	of	of	ADP
esrj-75821	48	9	the	the	DET
esrj-75821	48	10	level	level	NOUN
esrj-75821	48	11	of	of	ADP
esrj-75821	48	12	groundwater	groundwater	NOUN
esrj-75821	48	13	in	in	ADP
esrj-75821	48	14	aquifer	aquifer	NOUN
esrj-75821	48	15	plains	plain	NOUN
esrj-75821	48	16	is	be	AUX
esrj-75821	48	17	a	a	DET
esrj-75821	48	18	time	time	NOUN
esrj-75821	48	19	-	-	PUNCT
esrj-75821	48	20	consuming	consume	VERB
esrj-75821	48	21	process	process	NOUN
esrj-75821	48	22	,	,	PUNCT
esrj-75821	48	23	the	the	DET
esrj-75821	48	24	estimation	estimation	NOUN
esrj-75821	48	25	of	of	ADP
esrj-75821	48	26	the	the	DET
esrj-75821	48	27	level	level	NOUN
esrj-75821	48	28	of	of	ADP
esrj-75821	48	29	groundwater	groundwater	NOUN
esrj-75821	48	30	here	here	ADV
esrj-75821	48	31	has	have	VERB
esrj-75821	48	32	a	a	DET
esrj-75821	48	33	higher	high	ADJ
esrj-75821	48	34	priority	priority	NOUN
esrj-75821	48	35	than	than	ADP
esrj-75821	48	36	other	other	ADJ
esrj-75821	48	37	locations	location	NOUN
esrj-75821	48	38	.	.	PUNCT
esrj-75821	49	1	looking	look	VERB
esrj-75821	49	2	at	at	ADP
esrj-75821	49	3	literature	literature	NOUN
esrj-75821	49	4	in	in	ADP
esrj-75821	49	5	the	the	DET
esrj-75821	49	6	field	field	NOUN
esrj-75821	49	7	of	of	ADP
esrj-75821	49	8	agriculture	agriculture	NOUN
esrj-75821	49	9	and	and	CCONJ
esrj-75821	49	10	water	water	NOUN
esrj-75821	49	11	resources	resource	NOUN
esrj-75821	49	12	,	,	PUNCT
esrj-75821	49	13	many	many	ADJ
esrj-75821	49	14	of	of	ADP
esrj-75821	49	15	the	the	DET
esrj-75821	49	16	researchers	researcher	NOUN
esrj-75821	49	17	are	be	AUX
esrj-75821	49	18	interested	interested	ADJ
esrj-75821	49	19	in	in	ADP
esrj-75821	49	20	methods	method	NOUN
esrj-75821	49	21	with	with	ADP
esrj-75821	49	22	smallest	small	ADJ
esrj-75821	49	23	number	number	NOUN
esrj-75821	49	24	of	of	ADP
esrj-75821	49	25	variables	variable	NOUN
esrj-75821	49	26	to	to	PART
esrj-75821	49	27	monitor	monitor	VERB
esrj-75821	49	28	and	and	CCONJ
esrj-75821	49	29	predict	predict	VERB
esrj-75821	49	30	the	the	DET
esrj-75821	49	31	level	level	NOUN
esrj-75821	49	32	of	of	ADP
esrj-75821	49	33	groundwater	groundwater	NOUN
esrj-75821	49	34	.	.	PUNCT
esrj-75821	50	1	recent	recent	ADJ
esrj-75821	50	2	approaches	approach	NOUN
esrj-75821	50	3	in	in	ADP
esrj-75821	50	4	non	non	ADJ
esrj-75821	50	5	-	-	ADJ
esrj-75821	50	6	classical	classical	ADJ
esrj-75821	50	7	methods	method	NOUN
esrj-75821	50	8	have	have	AUX
esrj-75821	50	9	also	also	ADV
esrj-75821	50	10	raised	raise	VERB
esrj-75821	50	11	the	the	DET
esrj-75821	50	12	bias	bias	NOUN
esrj-75821	50	13	in	in	ADP
esrj-75821	50	14	the	the	DET
esrj-75821	50	15	application	application	NOUN
esrj-75821	50	16	of	of	ADP
esrj-75821	50	17	spatial	spatial	ADJ
esrj-75821	50	18	statistics	statistic	NOUN
esrj-75821	50	19	for	for	ADP
esrj-75821	50	20	realization	realization	NOUN
esrj-75821	50	21	of	of	ADP
esrj-75821	50	22	spatial	spatial	ADJ
esrj-75821	50	23	replacements	replacement	NOUN
esrj-75821	50	24	(	(	PUNCT
esrj-75821	50	25	jeihouni	jeihouni	PROPN
esrj-75821	50	26	et	et	PROPN
esrj-75821	50	27	al	al	PROPN
esrj-75821	50	28	.	.	PROPN
esrj-75821	50	29	,	,	PUNCT
esrj-75821	50	30	2015	2015	NUM
esrj-75821	50	31	)	)	PUNCT
esrj-75821	50	32	.	.	PUNCT
esrj-75821	51	1	the	the	DET
esrj-75821	51	2	level	level	NOUN
esrj-75821	51	3	of	of	ADP
esrj-75821	51	4	groundwater	groundwater	NOUN
esrj-75821	51	5	indicates	indicate	VERB
esrj-75821	51	6	groundwater	groundwater	NOUN
esrj-75821	51	7	availability	availability	NOUN
esrj-75821	51	8	,	,	PUNCT
esrj-75821	51	9	groundwater	groundwater	NOUN
esrj-75821	51	10	flow	flow	NOUN
esrj-75821	51	11	,	,	PUNCT
esrj-75821	51	12	and	and	CCONJ
esrj-75821	51	13	the	the	DET
esrj-75821	51	14	substantial	substantial	ADJ
esrj-75821	51	15	attribute	attribute	NOUN
esrj-75821	51	16	of	of	ADP
esrj-75821	51	17	an	an	DET
esrj-75821	51	18	aquifer	aquifer	NOUN
esrj-75821	51	19	(	(	PUNCT
esrj-75821	51	20	nair	nair	NOUN
esrj-75821	51	21	and	and	CCONJ
esrj-75821	51	22	sindhu	sindhu	NOUN
esrj-75821	51	23	,	,	PUNCT
esrj-75821	51	24	2016	2016	NUM
esrj-75821	51	25	;	;	PUNCT
esrj-75821	51	26	alqadi	alqadi	PROPN
esrj-75821	51	27	et	et	PROPN
esrj-75821	51	28	al	al	PROPN
esrj-75821	51	29	.	.	PROPN
esrj-75821	51	30	,	,	PUNCT
esrj-75821	51	31	2019	2019	NUM
esrj-75821	51	32	)	)	PUNCT
esrj-75821	51	33	.	.	PUNCT
esrj-75821	52	1	several	several	ADJ
esrj-75821	52	2	models	model	NOUN
esrj-75821	52	3	have	have	AUX
esrj-75821	52	4	been	be	AUX
esrj-75821	52	5	used	use	VERB
esrj-75821	52	6	to	to	PART
esrj-75821	52	7	evaluate	evaluate	VERB
esrj-75821	52	8	groundwater	groundwater	NOUN
esrj-75821	52	9	quantity	quantity	NOUN
esrj-75821	52	10	and	and	CCONJ
esrj-75821	52	11	quality	quality	NOUN
esrj-75821	52	12	in	in	ADP
esrj-75821	52	13	the	the	DET
esrj-75821	52	14	world	world	NOUN
esrj-75821	52	15	(	(	PUNCT
esrj-75821	52	16	bodrud	bodrud	PROPN
esrj-75821	52	17	-	-	PUNCT
esrj-75821	52	18	doza	doza	PROPN
esrj-75821	52	19	et	et	PROPN
esrj-75821	52	20	al	al	PROPN
esrj-75821	52	21	.	.	PROPN
esrj-75821	52	22	,	,	PUNCT
esrj-75821	52	23	2016	2016	NUM
esrj-75821	52	24	)	)	PUNCT
esrj-75821	52	25	.	.	PUNCT
esrj-75821	53	1	statistical	statistical	ADJ
esrj-75821	53	2	models	model	NOUN
esrj-75821	53	3	and	and	CCONJ
esrj-75821	53	4	spatial	spatial	ADJ
esrj-75821	53	5	interpolation	interpolation	NOUN
esrj-75821	53	6	have	have	AUX
esrj-75821	53	7	been	be	AUX
esrj-75821	53	8	compared	compare	VERB
esrj-75821	53	9	in	in	ADP
esrj-75821	53	10	different	different	ADJ
esrj-75821	53	11	studies	study	NOUN
esrj-75821	53	12	,	,	PUNCT
esrj-75821	53	13	such	such	ADJ
esrj-75821	53	14	as	as	ADP
esrj-75821	53	15	environmental	environmental	ADJ
esrj-75821	53	16	sciences	science	NOUN
esrj-75821	53	17	(	(	PUNCT
esrj-75821	53	18	abudu	abudu	NOUN
esrj-75821	53	19	et	et	PROPN
esrj-75821	53	20	al	al	PROPN
esrj-75821	53	21	.	.	PROPN
esrj-75821	53	22	,	,	PUNCT
esrj-75821	53	23	2010	2010	NUM
esrj-75821	53	24	;	;	PUNCT
esrj-75821	53	25	parmar	parmar	PROPN
esrj-75821	53	26	and	and	CCONJ
esrj-75821	53	27	bhardwaj	bhardwaj	PROPN
esrj-75821	53	28	,	,	PUNCT
esrj-75821	53	29	2014	2014	NUM
esrj-75821	53	30	;	;	PUNCT
esrj-75821	53	31	khaki	khaki	PROPN
esrj-75821	53	32	et	et	PROPN
esrj-75821	53	33	al	al	PROPN
esrj-75821	53	34	.	.	PROPN
esrj-75821	53	35	,	,	PUNCT
esrj-75821	53	36	2016	2016	NUM
esrj-75821	53	37	;	;	PUNCT
esrj-75821	53	38	meshram	meshram	PROPN
esrj-75821	53	39	et	et	PROPN
esrj-75821	53	40	al	al	PROPN
esrj-75821	53	41	.	.	PROPN
esrj-75821	53	42	,	,	PUNCT
esrj-75821	53	43	2020	2020	NUM
esrj-75821	53	44	)	)	PUNCT
esrj-75821	53	45	.	.	PUNCT
esrj-75821	54	1	in	in	ADP
esrj-75821	54	2	recent	recent	ADJ
esrj-75821	54	3	decades	decade	NOUN
esrj-75821	54	4	,	,	PUNCT
esrj-75821	54	5	artificial	artificial	ADJ
esrj-75821	54	6	intelligence	intelligence	NOUN
esrj-75821	54	7	systems	system	NOUN
esrj-75821	54	8	are	be	AUX
esrj-75821	54	9	used	use	VERB
esrj-75821	54	10	as	as	ADP
esrj-75821	54	11	analyzing	analyze	VERB
esrj-75821	54	12	tools	tool	NOUN
esrj-75821	54	13	to	to	PART
esrj-75821	54	14	study	study	VERB
esrj-75821	54	15	issues	issue	NOUN
esrj-75821	54	16	related	relate	VERB
esrj-75821	54	17	to	to	ADP
esrj-75821	54	18	water	water	NOUN
esrj-75821	54	19	and	and	CCONJ
esrj-75821	54	20	environmental	environmental	ADJ
esrj-75821	54	21	sciences	sciences	PROPN
esrj-75821	54	22	(	(	PUNCT
esrj-75821	54	23	jeihouni	jeihouni	PROPN
esrj-75821	54	24	et	et	PROPN
esrj-75821	54	25	al	al	PROPN
esrj-75821	54	26	.	.	PROPN
esrj-75821	54	27	,	,	PUNCT
esrj-75821	54	28	2015	2015	NUM
esrj-75821	54	29	;	;	PUNCT
esrj-75821	54	30	wu	wu	PROPN
esrj-75821	54	31	et	et	PROPN
esrj-75821	54	32	al	al	PROPN
esrj-75821	54	33	.	.	PROPN
esrj-75821	54	34	,	,	PUNCT
esrj-75821	54	35	2020	2020	NUM
esrj-75821	54	36	)	)	PUNCT
esrj-75821	54	37	.	.	PUNCT
esrj-75821	55	1	artificial	artificial	ADJ
esrj-75821	55	2	neural	neural	ADJ
esrj-75821	55	3	network	network	NOUN
esrj-75821	55	4	(	(	PUNCT
esrj-75821	55	5	ann	ann	PROPN
esrj-75821	55	6	)	)	PUNCT
esrj-75821	55	7	is	be	AUX
esrj-75821	55	8	beneficial	beneficial	ADJ
esrj-75821	55	9	in	in	ADP
esrj-75821	55	10	a	a	DET
esrj-75821	55	11	position	position	NOUN
esrj-75821	55	12	where	where	SCONJ
esrj-75821	55	13	the	the	DET
esrj-75821	55	14	fundamental	fundamental	ADJ
esrj-75821	55	15	real	real	ADJ
esrj-75821	55	16	process	process	NOUN
esrj-75821	55	17	relationships	relationship	NOUN
esrj-75821	55	18	are	be	AUX
esrj-75821	55	19	not	not	PART
esrj-75821	55	20	completely	completely	ADV
esrj-75821	55	21	understood	understand	VERB
esrj-75821	55	22	and	and	CCONJ
esrj-75821	55	23	well	well	ADV
esrj-75821	55	24	-	-	PUNCT
esrj-75821	55	25	suited	suited	ADJ
esrj-75821	55	26	in	in	ADP
esrj-75821	55	27	modeling	model	VERB
esrj-75821	55	28	dynamic	dynamic	ADJ
esrj-75821	55	29	systems	system	NOUN
esrj-75821	55	30	on	on	ADP
esrj-75821	55	31	a	a	DET
esrj-75821	55	32	real	real	ADJ
esrj-75821	55	33	-	-	PUNCT
esrj-75821	55	34	time	time	NOUN
esrj-75821	55	35	basis	basis	NOUN
esrj-75821	55	36	(	(	PUNCT
esrj-75821	55	37	lim	lim	NOUN
esrj-75821	55	38	and	and	CCONJ
esrj-75821	55	39	kolay	kolay	NOUN
esrj-75821	55	40	,	,	PUNCT
esrj-75821	55	41	2009	2009	NUM
esrj-75821	55	42	)	)	PUNCT
esrj-75821	55	43	.	.	PUNCT
esrj-75821	56	1	anns	anns	PROPN
esrj-75821	56	2	operates	operate	VERB
esrj-75821	56	3	on	on	ADP
esrj-75821	56	4	the	the	DET
esrj-75821	56	5	principles	principle	NOUN
esrj-75821	56	6	of	of	ADP
esrj-75821	56	7	learning	learn	VERB
esrj-75821	56	8	from	from	ADP
esrj-75821	56	9	a	a	DET
esrj-75821	56	10	training	training	NOUN
esrj-75821	56	11	set	set	NOUN
esrj-75821	56	12	.	.	PUNCT
esrj-75821	57	1	before	before	ADP
esrj-75821	57	2	training	training	NOUN
esrj-75821	57	3	,	,	PUNCT
esrj-75821	57	4	the	the	DET
esrj-75821	57	5	network	network	NOUN
esrj-75821	57	6	does	do	AUX
esrj-75821	57	7	not	not	PART
esrj-75821	57	8	have	have	VERB
esrj-75821	57	9	any	any	DET
esrj-75821	57	10	earlier	early	ADJ
esrj-75821	57	11	information	information	NOUN
esrj-75821	57	12	about	about	ADP
esrj-75821	57	13	the	the	DET
esrj-75821	57	14	type	type	NOUN
esrj-75821	57	15	of	of	ADP
esrj-75821	57	16	problem	problem	NOUN
esrj-75821	57	17	(	(	PUNCT
esrj-75821	57	18	bessaih	bessaih	NOUN
esrj-75821	57	19	et	et	PROPN
esrj-75821	57	20	al	al	PROPN
esrj-75821	57	21	.	.	PROPN
esrj-75821	57	22	,	,	PUNCT
esrj-75821	57	23	2014	2014	NUM
esrj-75821	57	24	)	)	PUNCT
esrj-75821	57	25	.	.	PUNCT
esrj-75821	58	1	anns	anns	PROPN
esrj-75821	58	2	show	show	VERB
esrj-75821	58	3	a	a	DET
esrj-75821	58	4	smooth	smooth	ADJ
esrj-75821	58	5	but	but	CCONJ
esrj-75821	58	6	accurate	accurate	ADJ
esrj-75821	58	7	result	result	NOUN
esrj-75821	58	8	of	of	ADP
esrj-75821	58	9	many	many	ADJ
esrj-75821	58	10	imagery	imagery	NOUN
esrj-75821	58	11	issues	issue	NOUN
esrj-75821	58	12	(	(	PUNCT
esrj-75821	58	13	suprayogi	suprayogi	VERB
esrj-75821	58	14	et	et	PROPN
esrj-75821	58	15	al	al	PROPN
esrj-75821	58	16	.	.	PROPN
esrj-75821	58	17	,	,	PUNCT
esrj-75821	58	18	2020	2020	NUM
esrj-75821	58	19	;	;	PUNCT
esrj-75821	58	20	iqbal	iqbal	PROPN
esrj-75821	58	21	et	et	PROPN
esrj-75821	58	22	al	al	PROPN
esrj-75821	58	23	.	.	PROPN
esrj-75821	58	24	,	,	PUNCT
esrj-75821	58	25	2020	2020	NUM
esrj-75821	58	26	)	)	PUNCT
esrj-75821	58	27	.	.	PUNCT
esrj-75821	59	1	several	several	ADJ
esrj-75821	59	2	articles	article	NOUN
esrj-75821	59	3	have	have	AUX
esrj-75821	59	4	,	,	PUNCT
esrj-75821	59	5	heretofore	heretofore	ADV
esrj-75821	59	6	,	,	PUNCT
esrj-75821	59	7	studied	study	VERB
esrj-75821	59	8	the	the	DET
esrj-75821	59	9	utilization	utilization	NOUN
esrj-75821	59	10	of	of	ADP
esrj-75821	59	11	anns	anns	NOUN
esrj-75821	59	12	in	in	ADP
esrj-75821	59	13	the	the	DET
esrj-75821	59	14	field	field	NOUN
esrj-75821	59	15	of	of	ADP
esrj-75821	59	16	water	water	NOUN
esrj-75821	59	17	resources	resource	NOUN
esrj-75821	59	18	(	(	PUNCT
esrj-75821	59	19	kazemi	kazemi	PROPN
esrj-75821	59	20	and	and	CCONJ
esrj-75821	59	21	hosseini	hosseini	PROPN
esrj-75821	59	22	,	,	PUNCT
esrj-75821	59	23	2011	2011	NUM
esrj-75821	59	24	;	;	PUNCT
esrj-75821	59	25	yesilnacar	yesilnacar	NOUN
esrj-75821	59	26	and	and	CCONJ
esrj-75821	59	27	sahinkaya	sahinkaya	NOUN
esrj-75821	59	28	,	,	PUNCT
esrj-75821	59	29	2012	2012	NUM
esrj-75821	59	30	;	;	PUNCT
esrj-75821	59	31	pektas	pekta	NOUN
esrj-75821	59	32	and	and	CCONJ
esrj-75821	59	33	dogan	dogan	PROPN
esrj-75821	59	34	,	,	PUNCT
esrj-75821	59	35	2015	2015	NUM
esrj-75821	59	36	;	;	PUNCT
esrj-75821	59	37	sebghatiand	sebghatiand	PROPN
esrj-75821	59	38	gholami	gholami	NOUN
esrj-75821	59	39	,	,	PUNCT
esrj-75821	59	40	2019	2019	NUM
esrj-75821	59	41	)	)	PUNCT
esrj-75821	59	42	.	.	PUNCT
esrj-75821	60	1	ann	ann	PROPN
esrj-75821	60	2	is	be	AUX
esrj-75821	60	3	an	an	DET
esrj-75821	60	4	applicable	applicable	ADJ
esrj-75821	60	5	estimation	estimation	NOUN
esrj-75821	60	6	tool	tool	NOUN
esrj-75821	60	7	for	for	ADP
esrj-75821	60	8	groundwater	groundwater	NOUN
esrj-75821	60	9	levels	level	NOUN
esrj-75821	60	10	in	in	ADP
esrj-75821	60	11	areas	area	NOUN
esrj-75821	60	12	without	without	ADP
esrj-75821	60	13	information	information	NOUN
esrj-75821	60	14	or	or	CCONJ
esrj-75821	60	15	inadequate	inadequate	ADJ
esrj-75821	60	16	observation	observation	NOUN
esrj-75821	60	17	points	point	NOUN
esrj-75821	60	18	.	.	PUNCT
esrj-75821	61	1	(	(	PUNCT
esrj-75821	61	2	sethi	sethi	PROPN
esrj-75821	61	3	et	et	PROPN
esrj-75821	61	4	al	al	PROPN
esrj-75821	61	5	.	.	PROPN
esrj-75821	61	6	,	,	PUNCT
esrj-75821	61	7	2010	2010	NUM
esrj-75821	61	8	;	;	PUNCT
esrj-75821	61	9	karimi	karimi	PROPN
esrj-75821	61	10	et	et	PROPN
esrj-75821	61	11	al	al	PROPN
esrj-75821	61	12	.	.	PROPN
esrj-75821	61	13	,	,	PUNCT
esrj-75821	61	14	2012	2012	NUM
esrj-75821	61	15	;	;	PUNCT
esrj-75821	61	16	rankovic	rankovic	PROPN
esrj-75821	61	17	et	et	PROPN
esrj-75821	61	18	al	al	PROPN
esrj-75821	61	19	.	.	PROPN
esrj-75821	61	20	,	,	PUNCT
esrj-75821	61	21	2014	2014	NUM
esrj-75821	61	22	;	;	PUNCT
esrj-75821	61	23	khaki	khaki	PROPN
esrj-75821	61	24	et	et	PROPN
esrj-75821	61	25	al	al	PROPN
esrj-75821	61	26	.	.	PROPN
esrj-75821	61	27	,	,	PUNCT
esrj-75821	61	28	2015	2015	NUM
esrj-75821	61	29	;	;	PUNCT
esrj-75821	61	30	alizamir	alizamir	PROPN
esrj-75821	61	31	et	et	PROPN
esrj-75821	61	32	al	al	PROPN
esrj-75821	61	33	.	.	PROPN
esrj-75821	61	34	,	,	PUNCT
esrj-75821	61	35	2017	2017	NUM
esrj-75821	61	36	;	;	PUNCT
esrj-75821	61	37	mohanty	mohanty	PROPN
esrj-75821	61	38	et	et	PROPN
esrj-75821	61	39	al	al	PROPN
esrj-75821	61	40	.	.	PROPN
esrj-75821	61	41	,	,	PUNCT
esrj-75821	61	42	2010	2010	NUM
esrj-75821	61	43	;	;	PUNCT
esrj-75821	61	44	lohani	lohani	NOUN
esrj-75821	61	45	and	and	CCONJ
esrj-75821	61	46	krishnan	krishnan	PROPN
esrj-75821	61	47	2015	2015	NUM
esrj-75821	61	48	;	;	PUNCT
esrj-75821	61	49	porte	porte	PROPN
esrj-75821	61	50	et	et	PROPN
esrj-75821	61	51	al	al	PROPN
esrj-75821	61	52	.	.	PROPN
esrj-75821	61	53	,	,	PUNCT
esrj-75821	61	54	2018	2018	NUM
esrj-75821	61	55	;	;	PUNCT
esrj-75821	61	56	chitsazan	chitsazan	X
esrj-75821	61	57	et	et	PROPN
esrj-75821	61	58	al	al	PROPN
esrj-75821	61	59	.	.	PROPN
esrj-75821	61	60	,	,	PUNCT
esrj-75821	61	61	2013	2013	NUM
esrj-75821	61	62	;	;	PUNCT
esrj-75821	61	63	nair	nair	NOUN
esrj-75821	61	64	and	and	CCONJ
esrj-75821	61	65	sindhu	sindhu	PROPN
esrj-75821	61	66	,	,	PUNCT
esrj-75821	61	67	2016	2016	NUM
esrj-75821	61	68	)	)	PUNCT
esrj-75821	61	69	accordingly	accordingly	ADV
esrj-75821	61	70	,	,	PUNCT
esrj-75821	61	71	the	the	DET
esrj-75821	61	72	partial	partial	ADJ
esrj-75821	61	73	least	least	ADJ
esrj-75821	61	74	square	square	ADJ
esrj-75821	61	75	regression	regression	NOUN
esrj-75821	61	76	(	(	PUNCT
esrj-75821	61	77	plsr	plsr	PROPN
esrj-75821	61	78	)	)	PUNCT
esrj-75821	61	79	method	method	NOUN
esrj-75821	61	80	was	be	AUX
esrj-75821	61	81	initially	initially	ADV
esrj-75821	61	82	used	use	VERB
esrj-75821	61	83	as	as	ADP
esrj-75821	61	84	a	a	DET
esrj-75821	61	85	calculation	calculation	NOUN
esrj-75821	61	86	algorithm	algorithm	NOUN
esrj-75821	61	87	for	for	ADP
esrj-75821	61	88	special	special	ADJ
esrj-75821	61	89	vectors	vector	NOUN
esrj-75821	61	90	,	,	PUNCT
esrj-75821	61	91	but	but	CCONJ
esrj-75821	61	92	was	be	AUX
esrj-75821	61	93	quickly	quickly	ADV
esrj-75821	61	94	interpreted	interpret	VERB
esrj-75821	61	95	by	by	ADP
esrj-75821	61	96	statistical	statistical	ADJ
esrj-75821	61	97	criteria	criterion	NOUN
esrj-75821	61	98	.	.	PUNCT
esrj-75821	62	1	in	in	ADP
esrj-75821	62	2	fact	fact	NOUN
esrj-75821	62	3	,	,	PUNCT
esrj-75821	62	4	the	the	DET
esrj-75821	62	5	general	general	ADJ
esrj-75821	62	6	idea	idea	NOUN
esrj-75821	62	7	of	of	ADP
esrj-75821	62	8	plsr	plsr	PROPN
esrj-75821	62	9	is	be	AUX
esrj-75821	62	10	to	to	PART
esrj-75821	62	11	find	find	VERB
esrj-75821	62	12	the	the	DET
esrj-75821	62	13	hidden	hidden	ADJ
esrj-75821	62	14	variables	variable	NOUN
esrj-75821	62	15	.	.	PUNCT
esrj-75821	63	1	the	the	DET
esrj-75821	63	2	hidden	hidden	ADJ
esrj-75821	63	3	variables	variable	NOUN
esrj-75821	63	4	are	be	AUX
esrj-75821	63	5	quantitative	quantitative	ADJ
esrj-75821	63	6	variables	variable	NOUN
esrj-75821	63	7	which	which	PRON
esrj-75821	63	8	explain	explain	VERB
esrj-75821	63	9	the	the	DET
esrj-75821	63	10	variability	variability	NOUN
esrj-75821	63	11	of	of	ADP
esrj-75821	63	12	the	the	DET
esrj-75821	63	13	response	response	NOUN
esrj-75821	63	14	variable	variable	NOUN
esrj-75821	63	15	(	(	PUNCT
esrj-75821	63	16	chun	chun	PROPN
esrj-75821	63	17	and	and	CCONJ
esrj-75821	63	18	keles	kele	NOUN
esrj-75821	63	19	,	,	PUNCT
esrj-75821	63	20	2010	2010	NUM
esrj-75821	63	21	;	;	PUNCT
esrj-75821	63	22	p.	p.	PROPN
esrj-75821	63	23	roy	roy	PROPN
esrj-75821	63	24	and	and	CCONJ
esrj-75821	63	25	k.	k.	PROPN
esrj-75821	63	26	roy	roy	PROPN
esrj-75821	63	27	,	,	PUNCT
esrj-75821	63	28	2008	2008	NUM
esrj-75821	63	29	)	)	PUNCT
esrj-75821	63	30	.	.	PUNCT
esrj-75821	64	1	the	the	DET
esrj-75821	64	2	plsr	plsr	PROPN
esrj-75821	64	3	technique	technique	NOUN
esrj-75821	64	4	admits	admit	VERB
esrj-75821	64	5	examining	examine	VERB
esrj-75821	64	6	the	the	DET
esrj-75821	64	7	relationships	relationship	NOUN
esrj-75821	64	8	between	between	ADP
esrj-75821	64	9	visible	visible	ADJ
esrj-75821	64	10	and	and	CCONJ
esrj-75821	64	11	hidden	hidden	ADJ
esrj-75821	64	12	variables	variable	NOUN
esrj-75821	64	13	simultaneously	simultaneously	ADV
esrj-75821	64	14	(	(	PUNCT
esrj-75821	64	15	wold	wold	X
esrj-75821	64	16	et	et	PROPN
esrj-75821	64	17	al	al	PROPN
esrj-75821	64	18	.	.	PROPN
esrj-75821	64	19	,	,	PUNCT
esrj-75821	64	20	2001	2001	NUM
esrj-75821	64	21	)	)	PUNCT
esrj-75821	64	22	.	.	PUNCT
esrj-75821	65	1	this	this	DET
esrj-75821	65	2	method	method	NOUN
esrj-75821	65	3	uses	use	VERB
esrj-75821	65	4	two	two	NUM
esrj-75821	65	5	outer	outer	ADJ
esrj-75821	65	6	and	and	CCONJ
esrj-75821	65	7	inner	inner	ADJ
esrj-75821	65	8	test	test	NOUN
esrj-75821	65	9	models	model	NOUN
esrj-75821	65	10	that	that	PRON
esrj-75821	65	11	apply	apply	VERB
esrj-75821	65	12	a	a	DET
esrj-75821	65	13	two	two	NUM
esrj-75821	65	14	-	-	PUNCT
esrj-75821	65	15	step	step	NOUN
esrj-75821	65	16	complex	complex	ADJ
esrj-75821	65	17	process	process	NOUN
esrj-75821	65	18	to	to	PART
esrj-75821	65	19	estimate	estimate	VERB
esrj-75821	65	20	weights	weight	NOUN
esrj-75821	65	21	(	(	PUNCT
esrj-75821	65	22	tekin	tekin	PROPN
esrj-75821	65	23	et	et	PROPN
esrj-75821	65	24	al	al	PROPN
esrj-75821	65	25	.	.	PROPN
esrj-75821	65	26	,	,	PUNCT
esrj-75821	65	27	2014	2014	NUM
esrj-75821	65	28	)	)	PUNCT
esrj-75821	65	29	.	.	PUNCT
esrj-75821	66	1	recently	recently	ADV
esrj-75821	66	2	,	,	PUNCT
esrj-75821	66	3	pls	pls	INTJ
esrj-75821	66	4	regression	regression	NOUN
esrj-75821	66	5	has	have	AUX
esrj-75821	66	6	been	be	AUX
esrj-75821	66	7	applied	apply	VERB
esrj-75821	66	8	to	to	ADP
esrj-75821	66	9	soil	soil	NOUN
esrj-75821	66	10	and	and	CCONJ
esrj-75821	66	11	groundwater	groundwater	NOUN
esrj-75821	66	12	mapping	mapping	NOUN
esrj-75821	66	13	(	(	PUNCT
esrj-75821	66	14	ibrahim	ibrahim	PROPN
esrj-75821	66	15	and	and	CCONJ
esrj-75821	66	16	wibowo	wibowo	PROPN
esrj-75821	66	17	,	,	PUNCT
esrj-75821	66	18	2013	2013	NUM
esrj-75821	66	19	;	;	PUNCT
esrj-75821	66	20	dhungana	dhungana	NOUN
esrj-75821	66	21	,	,	PUNCT
esrj-75821	66	22	2015	2015	NUM
esrj-75821	66	23	;	;	PUNCT
esrj-75821	66	24	humbert	humbert	PROPN
esrj-75821	66	25	et	et	PROPN
esrj-75821	66	26	al	al	PROPN
esrj-75821	66	27	.	.	PROPN
esrj-75821	66	28	,	,	PUNCT
esrj-75821	66	29	2015	2015	NUM
esrj-75821	66	30	;	;	PUNCT
esrj-75821	66	31	tzanakakis	tzanakakis	PART
esrj-75821	66	32	et	et	PROPN
esrj-75821	66	33	al	al	PROPN
esrj-75821	66	34	.	.	PROPN
esrj-75821	66	35	,	,	PUNCT
esrj-75821	66	36	2015	2015	NUM
esrj-75821	66	37	;	;	PUNCT
esrj-75821	66	38	kawamura	kawamura	PROPN
esrj-75821	66	39	et	et	PROPN
esrj-75821	66	40	al	al	PROPN
esrj-75821	66	41	.	.	PROPN
esrj-75821	66	42	,	,	PUNCT
esrj-75821	66	43	2017	2017	NUM
esrj-75821	66	44	;	;	PUNCT
esrj-75821	66	45	gad	gad	PROPN
esrj-75821	66	46	et	et	PROPN
esrj-75821	66	47	al	al	PROPN
esrj-75821	66	48	.	.	PROPN
esrj-75821	66	49	,	,	PUNCT
esrj-75821	66	50	2020	2020	NUM
esrj-75821	66	51	)	)	PUNCT
esrj-75821	66	52	.	.	PUNCT
esrj-75821	67	1	adaptive	adaptive	ADJ
esrj-75821	67	2	neuro	neuro	NOUN
esrj-75821	67	3	-	-	PUNCT
esrj-75821	67	4	fuzzy	fuzzy	ADJ
esrj-75821	67	5	inference	inference	NOUN
esrj-75821	67	6	systems	system	NOUN
esrj-75821	67	7	(	(	PUNCT
esrj-75821	67	8	anfis	anfi	VERB
esrj-75821	67	9	)	)	PUNCT
esrj-75821	67	10	and	and	CCONJ
esrj-75821	67	11	ann	ann	PROPN
esrj-75821	67	12	can	can	AUX
esrj-75821	67	13	be	be	AUX
esrj-75821	67	14	regarded	regard	VERB
esrj-75821	67	15	as	as	ADP
esrj-75821	67	16	powerful	powerful	ADJ
esrj-75821	67	17	tools	tool	NOUN
esrj-75821	67	18	in	in	ADP
esrj-75821	67	19	the	the	DET
esrj-75821	67	20	statistical	statistical	ADJ
esrj-75821	67	21	model	model	NOUN
esrj-75821	67	22	identification	identification	NOUN
esrj-75821	67	23	algorithm	algorithm	NOUN
esrj-75821	67	24	and	and	CCONJ
esrj-75821	67	25	to	to	PART
esrj-75821	67	26	produce	produce	VERB
esrj-75821	67	27	a	a	DET
esrj-75821	67	28	simple	simple	ADJ
esrj-75821	67	29	model	model	NOUN
esrj-75821	67	30	by	by	ADP
esrj-75821	67	31	virtue	virtue	NOUN
esrj-75821	67	32	of	of	ADP
esrj-75821	67	33	competency	competency	NOUN
esrj-75821	67	34	of	of	ADP
esrj-75821	67	35	task	task	NOUN
esrj-75821	67	36	estimation	estimation	NOUN
esrj-75821	67	37	and	and	CCONJ
esrj-75821	67	38	categorization	categorization	NOUN
esrj-75821	67	39	(	(	PUNCT
esrj-75821	67	40	gong	gong	NOUN
esrj-75821	67	41	et	et	PROPN
esrj-75821	67	42	al	al	PROPN
esrj-75821	67	43	.	.	PROPN
esrj-75821	67	44	,	,	PUNCT
esrj-75821	67	45	2018	2018	NUM
esrj-75821	67	46	;	;	PUNCT
esrj-75821	67	47	emamgholizadeh	emamgholizadeh	X
esrj-75821	67	48	et	et	PROPN
esrj-75821	67	49	al	al	PROPN
esrj-75821	67	50	.	.	PROPN
esrj-75821	67	51	,	,	PUNCT
esrj-75821	67	52	2014	2014	NUM
esrj-75821	67	53	)	)	PUNCT
esrj-75821	67	54	.	.	PUNCT
esrj-75821	68	1	fuzzy	fuzzy	ADJ
esrj-75821	68	2	models	model	NOUN
esrj-75821	68	3	propose	propose	VERB
esrj-75821	68	4	interest	interest	NOUN
esrj-75821	68	5	over	over	ADP
esrj-75821	68	6	mathematical	mathematical	ADJ
esrj-75821	68	7	ones	one	NOUN
esrj-75821	68	8	;	;	PUNCT
esrj-75821	68	9	the	the	DET
esrj-75821	68	10	process	process	NOUN
esrj-75821	68	11	of	of	ADP
esrj-75821	68	12	inference	inference	NOUN
esrj-75821	68	13	is	be	AUX
esrj-75821	68	14	close	close	ADJ
esrj-75821	68	15	to	to	ADP
esrj-75821	68	16	human	human	ADJ
esrj-75821	68	17	logic	logic	NOUN
esrj-75821	68	18	and	and	CCONJ
esrj-75821	68	19	easier	easy	ADJ
esrj-75821	68	20	to	to	PART
esrj-75821	68	21	measurement	measurement	VERB
esrj-75821	68	22	with	with	ADP
esrj-75821	68	23	complicated	complicated	ADJ
esrj-75821	68	24	non	non	ADJ
esrj-75821	68	25	-	-	ADJ
esrj-75821	68	26	linear	linear	ADJ
esrj-75821	68	27	methods	method	NOUN
esrj-75821	68	28	.	.	PUNCT
esrj-75821	69	1	moreover	moreover	ADV
esrj-75821	69	2	,	,	PUNCT
esrj-75821	69	3	these	these	DET
esrj-75821	69	4	methods	method	NOUN
esrj-75821	69	5	are	be	AUX
esrj-75821	69	6	advantageous	advantageous	ADJ
esrj-75821	69	7	and	and	CCONJ
esrj-75821	69	8	more	more	ADV
esrj-75821	69	9	functional	functional	ADJ
esrj-75821	69	10	to	to	ADP
esrj-75821	69	11	specialist	specialist	VERB
esrj-75821	69	12	modeling	modeling	NOUN
esrj-75821	69	13	researchers	researcher	NOUN
esrj-75821	69	14	(	(	PUNCT
esrj-75821	69	15	esen	esen	ADJ
esrj-75821	69	16	and	and	CCONJ
esrj-75821	69	17	inalli	inalli	NOUN
esrj-75821	69	18	,	,	PUNCT
esrj-75821	69	19	2010	2010	NUM
esrj-75821	69	20	)	)	PUNCT
esrj-75821	69	21	.	.	PUNCT
esrj-75821	70	1	anfis	anfis	PROPN
esrj-75821	70	2	adopts	adopt	VERB
esrj-75821	70	3	a	a	DET
esrj-75821	70	4	special	special	ADJ
esrj-75821	70	5	system	system	NOUN
esrj-75821	70	6	of	of	ADP
esrj-75821	70	7	fuzzy	fuzzy	ADJ
esrj-75821	70	8	inference	inference	NOUN
esrj-75821	70	9	with	with	ADP
esrj-75821	70	10	a	a	DET
esrj-75821	70	11	backpropagation	backpropagation	NOUN
esrj-75821	70	12	algorithm	algorithm	NOUN
esrj-75821	70	13	founded	found	VERB
esrj-75821	70	14	by	by	ADP
esrj-75821	70	15	a	a	DET
esrj-75821	70	16	group	group	NOUN
esrj-75821	70	17	of	of	ADP
esrj-75821	70	18	input	input	NOUN
esrj-75821	70	19	data	datum	NOUN
esrj-75821	70	20	and	and	CCONJ
esrj-75821	70	21	output	output	NOUN
esrj-75821	70	22	data	datum	NOUN
esrj-75821	70	23	(	(	PUNCT
esrj-75821	70	24	babuska	babuska	NOUN
esrj-75821	70	25	,	,	PUNCT
esrj-75821	70	26	1998	1998	NUM
esrj-75821	70	27	)	)	PUNCT
esrj-75821	70	28	.	.	PUNCT
esrj-75821	71	1	anfis	anfis	PROPN
esrj-75821	71	2	was	be	AUX
esrj-75821	71	3	first	first	ADV
esrj-75821	71	4	declared	declare	VERB
esrj-75821	71	5	by	by	ADP
esrj-75821	71	6	jang	jang	PROPN
esrj-75821	71	7	(	(	PUNCT
esrj-75821	71	8	1993	1993	NUM
esrj-75821	71	9	)	)	PUNCT
esrj-75821	71	10	.	.	PUNCT
esrj-75821	72	1	tan	tan	PROPN
esrj-75821	72	2	et	et	PROPN
esrj-75821	72	3	al	al	PROPN
esrj-75821	72	4	.	.	PROPN
esrj-75821	73	1	(	(	PUNCT
esrj-75821	73	2	2017	2017	NUM
esrj-75821	73	3	)	)	PUNCT
esrj-75821	73	4	assumed	assume	VERB
esrj-75821	73	5	the	the	DET
esrj-75821	73	6	anfis	anfis	ADJ
esrj-75821	73	7	approach	approach	NOUN
esrj-75821	73	8	to	to	PART
esrj-75821	73	9	measure	measure	VERB
esrj-75821	73	10	country	country	NOUN
esrj-75821	73	11	sustainability	sustainability	NOUN
esrj-75821	73	12	performance	performance	NOUN
esrj-75821	73	13	.	.	PUNCT
esrj-75821	74	1	they	they	PRON
esrj-75821	74	2	found	find	VERB
esrj-75821	74	3	that	that	SCONJ
esrj-75821	74	4	using	use	VERB
esrj-75821	74	5	anfis	anfis	PROPN
esrj-75821	74	6	,	,	PUNCT
esrj-75821	74	7	evaluation	evaluation	NOUN
esrj-75821	74	8	validity	validity	NOUN
esrj-75821	74	9	as	as	SCONJ
esrj-75821	74	10	it	it	PRON
esrj-75821	74	11	may	may	AUX
esrj-75821	74	12	be	be	AUX
esrj-75821	74	13	better	well	ADJ
esrj-75821	74	14	through	through	ADP
esrj-75821	74	15	sublevel	sublevel	ADJ
esrj-75821	74	16	choice	choice	NOUN
esrj-75821	74	17	of	of	ADP
esrj-75821	74	18	training	training	NOUN
esrj-75821	74	19	samples	sample	NOUN
esrj-75821	74	20	by	by	ADP
esrj-75821	74	21	other	other	ADJ
esrj-75821	74	22	data	datum	NOUN
esrj-75821	74	23	from	from	ADP
esrj-75821	74	24	un	un	NOUN
esrj-75821	74	25	-	-	NOUN
esrj-75821	74	26	habitat	habitat	ADJ
esrj-75821	74	27	,	,	PUNCT
esrj-75821	74	28	or	or	CCONJ
esrj-75821	74	29	world	world	NOUN
esrj-75821	74	30	bank	bank	NOUN
esrj-75821	74	31	,	,	PUNCT
esrj-75821	74	32	or	or	CCONJ
esrj-75821	74	33	even	even	ADV
esrj-75821	74	34	new	new	ADJ
esrj-75821	74	35	data	datum	NOUN
esrj-75821	74	36	sets	set	NOUN
esrj-75821	74	37	.	.	PUNCT
esrj-75821	75	1	solgi	solgi	NOUN
esrj-75821	75	2	et	et	PROPN
esrj-75821	75	3	al	al	PROPN
esrj-75821	75	4	.	.	PUNCT
esrj-75821	76	1	(	(	PUNCT
esrj-75821	76	2	2016	2016	NUM
esrj-75821	76	3	)	)	PUNCT
esrj-75821	76	4	applied	apply	VERB
esrj-75821	76	5	anfis	anfis	ADJ
esrj-75821	76	6	models	model	NOUN
esrj-75821	76	7	for	for	ADP
esrj-75821	76	8	predicting	predict	VERB
esrj-75821	76	9	biochemical	biochemical	ADJ
esrj-75821	76	10	oxygen	oxygen	NOUN
esrj-75821	76	11	demand	demand	NOUN
esrj-75821	76	12	in	in	ADP
esrj-75821	76	13	the	the	DET
esrj-75821	76	14	karun	karun	PROPN
esrj-75821	76	15	river	river	NOUN
esrj-75821	76	16	in	in	ADP
esrj-75821	76	17	the	the	DET
esrj-75821	76	18	western	western	ADJ
esrj-75821	76	19	part	part	NOUN
esrj-75821	76	20	of	of	ADP
esrj-75821	76	21	iran	iran	PROPN
esrj-75821	76	22	.	.	PUNCT
esrj-75821	77	1	ahmed	ahmed	PROPN
esrj-75821	77	2	and	and	CCONJ
esrj-75821	77	3	ali	ali	PROPN
esrj-75821	77	4	-	-	PUNCT
esrj-75821	77	5	shah	shah	PROPN
esrj-75821	77	6	(	(	PUNCT
esrj-75821	77	7	2017	2017	NUM
esrj-75821	77	8	)	)	PUNCT
esrj-75821	77	9	applied	apply	VERB
esrj-75821	77	10	anfis	anfi	VERB
esrj-75821	77	11	to	to	PART
esrj-75821	77	12	predict	predict	VERB
esrj-75821	77	13	of	of	ADP
esrj-75821	77	14	bod	bod	NOUN
esrj-75821	77	15	in	in	ADP
esrj-75821	77	16	water	water	NOUN
esrj-75821	77	17	river	river	NOUN
esrj-75821	77	18	.	.	PUNCT
esrj-75821	78	1	they	they	PRON
esrj-75821	78	2	concluded	conclude	VERB
esrj-75821	78	3	that	that	SCONJ
esrj-75821	78	4	anfis	anfis	PROPN
esrj-75821	78	5	is	be	AUX
esrj-75821	78	6	a	a	DET
esrj-75821	78	7	convenient	convenient	ADJ
esrj-75821	78	8	method	method	NOUN
esrj-75821	78	9	to	to	PART
esrj-75821	78	10	investigate	investigate	VERB
esrj-75821	78	11	bod	bod	NOUN
esrj-75821	78	12	with	with	ADP
esrj-75821	78	13	advisable	advisable	ADJ
esrj-75821	78	14	validity	validity	NOUN
esrj-75821	78	15	,	,	PUNCT
esrj-75821	78	16	suggesting	suggest	VERB
esrj-75821	78	17	the	the	DET
esrj-75821	78	18	anfis	anfis	PROPN
esrj-75821	78	19	method	method	NOUN
esrj-75821	78	20	is	be	AUX
esrj-75821	78	21	a	a	DET
esrj-75821	78	22	beneficial	beneficial	ADJ
esrj-75821	78	23	tool	tool	NOUN
esrj-75821	78	24	for	for	ADP
esrj-75821	78	25	water	water	NOUN
esrj-75821	78	26	quality	quality	NOUN
esrj-75821	78	27	parameter	parameter	NOUN
esrj-75821	78	28	analyses	analysis	NOUN
esrj-75821	78	29	.	.	PUNCT
esrj-75821	79	1	almuhaylan	almuhaylan	PROPN
esrj-75821	79	2	et	et	PROPN
esrj-75821	79	3	al	al	PROPN
esrj-75821	79	4	(	(	PUNCT
esrj-75821	79	5	2020	2020	NUM
esrj-75821	79	6	)	)	PUNCT
esrj-75821	79	7	mentioned	mention	VERB
esrj-75821	79	8	the	the	DET
esrj-75821	79	9	anfis	anfis	PROPN
esrj-75821	79	10	can	can	AUX
esrj-75821	79	11	provide	provide	VERB
esrj-75821	79	12	more	more	ADV
esrj-75821	79	13	accurate	accurate	ADJ
esrj-75821	79	14	,	,	PUNCT
esrj-75821	79	15	the	the	DET
esrj-75821	79	16	anticipation	anticipation	NOUN
esrj-75821	79	17	of	of	ADP
esrj-75821	79	18	groundwater	groundwater	NOUN
esrj-75821	79	19	depth	depth	NOUN
esrj-75821	79	20	.	.	PUNCT
esrj-75821	80	1	in	in	ADP
esrj-75821	80	2	this	this	DET
esrj-75821	80	3	study	study	NOUN
esrj-75821	80	4	,	,	PUNCT
esrj-75821	80	5	we	we	PRON
esrj-75821	80	6	determined	determine	VERB
esrj-75821	80	7	the	the	DET
esrj-75821	80	8	efficiency	efficiency	NOUN
esrj-75821	80	9	of	of	ADP
esrj-75821	80	10	non	non	ADJ
esrj-75821	80	11	-	-	ADJ
esrj-75821	80	12	linear	linear	ADJ
esrj-75821	80	13	algorithmic	algorithmic	ADJ
esrj-75821	80	14	models	model	NOUN
esrj-75821	80	15	in	in	ADP
esrj-75821	80	16	predicting	predict	VERB
esrj-75821	80	17	the	the	DET
esrj-75821	80	18	level	level	NOUN
esrj-75821	80	19	of	of	ADP
esrj-75821	80	20	groundwater	groundwater	NOUN
esrj-75821	80	21	and	and	CCONJ
esrj-75821	80	22	evaluating	evaluate	VERB
esrj-75821	80	23	land	land	NOUN
esrj-75821	80	24	degradation	degradation	NOUN
esrj-75821	80	25	with	with	ADP
esrj-75821	80	26	a	a	DET
esrj-75821	80	27	small	small	ADJ
esrj-75821	80	28	number	number	NOUN
esrj-75821	80	29	of	of	ADP
esrj-75821	80	30	variables	variable	NOUN
esrj-75821	80	31	.	.	PUNCT
esrj-75821	81	1	the	the	DET
esrj-75821	81	2	purpose	purpose	NOUN
esrj-75821	81	3	of	of	ADP
esrj-75821	81	4	our	our	PRON
esrj-75821	81	5	study	study	NOUN
esrj-75821	81	6	is	be	AUX
esrj-75821	81	7	to	to	PART
esrj-75821	81	8	compare	compare	VERB
esrj-75821	81	9	ann	ann	PROPN
esrj-75821	81	10	,	,	PUNCT
esrj-75821	81	11	anfis	anfi	VERB
esrj-75821	81	12	and	and	CCONJ
esrj-75821	81	13	plsr	plsr	PROPN
esrj-75821	81	14	methods	method	NOUN
esrj-75821	81	15	for	for	ADP
esrj-75821	81	16	assessing	assess	VERB
esrj-75821	81	17	groundwater	groundwater	NOUN
esrj-75821	81	18	level	level	NOUN
esrj-75821	81	19	in	in	ADP
esrj-75821	81	20	sharif	sharif	PROPN
esrj-75821	81	21	abad	abad	PROPN
esrj-75821	81	22	watershed	watershe	VERB
esrj-75821	81	23	and	and	CCONJ
esrj-75821	81	24	determine	determine	VERB
esrj-75821	81	25	the	the	DET
esrj-75821	81	26	severity	severity	NOUN
esrj-75821	81	27	of	of	ADP
esrj-75821	81	28	groundwater	groundwater	NOUN
esrj-75821	81	29	degradation	degradation	NOUN
esrj-75821	81	30	.	.	PUNCT
esrj-75821	82	1	2	2	X
esrj-75821	82	2	.	.	X
esrj-75821	82	3	materials	material	NOUN
esrj-75821	82	4	and	and	CCONJ
esrj-75821	82	5	methods	method	NOUN
esrj-75821	82	6	2.1	2.1	NUM
esrj-75821	82	7	.	.	PUNCT
esrj-75821	83	1	study	study	NOUN
esrj-75821	83	2	area	area	NOUN
esrj-75821	83	3	the	the	DET
esrj-75821	83	4	sharif	sharif	PROPN
esrj-75821	83	5	abad	abad	PROPN
esrj-75821	83	6	watershed	watershed	PROPN
esrj-75821	83	7	is	be	AUX
esrj-75821	83	8	located	locate	VERB
esrj-75821	83	9	in	in	ADP
esrj-75821	83	10	between	between	ADP
esrj-75821	83	11	34	34	NUM
esrj-75821	83	12	°	°	NOUN
esrj-75821	83	13	37	37	NUM
esrj-75821	83	14	´	´	NOUN
esrj-75821	83	15	34	34	NUM
esrj-75821	83	16	°	°	NOUN
esrj-75821	83	17	56´n	56´n	NUM
esrj-75821	83	18	and	and	CCONJ
esrj-75821	83	19	50	50	NUM
esrj-75821	83	20	°	°	NUM
esrj-75821	83	21	31	31	NUM
esrj-75821	83	22	´	´	NOUN
esrj-75821	83	23	51	51	NUM
esrj-75821	83	24	°	°	NUM
esrj-75821	83	25	02´e	02´e	NOUN
esrj-75821	83	26	covering	cover	VERB
esrj-75821	83	27	an	an	DET
esrj-75821	83	28	area	area	NOUN
esrj-75821	83	29	of	of	ADP
esrj-75821	83	30	96787	96787	NUM
esrj-75821	83	31	ha	ha	INTJ
esrj-75821	83	32	.	.	PUNCT
esrj-75821	84	1	in	in	ADP
esrj-75821	84	2	central	central	ADJ
esrj-75821	84	3	part	part	NOUN
esrj-75821	84	4	of	of	ADP
esrj-75821	84	5	iran	iran	PROPN
esrj-75821	84	6	,	,	PUNCT
esrj-75821	84	7	qom	qom	PROPN
esrj-75821	84	8	province	province	PROPN
esrj-75821	84	9	,	,	PUNCT
esrj-75821	84	10	iran	iran	PROPN
esrj-75821	84	11	(	(	PUNCT
esrj-75821	84	12	fig	fig	NOUN
esrj-75821	84	13	.	.	PUNCT
esrj-75821	84	14	1	1	NUM
esrj-75821	84	15	)	)	PUNCT
esrj-75821	84	16	.	.	PUNCT
esrj-75821	85	1	the	the	DET
esrj-75821	85	2	study	study	NOUN
esrj-75821	85	3	area	area	NOUN
esrj-75821	85	4	is	be	AUX
esrj-75821	85	5	very	very	ADV
esrj-75821	85	6	important	important	ADJ
esrj-75821	85	7	in	in	ADP
esrj-75821	85	8	the	the	DET
esrj-75821	85	9	production	production	NOUN
esrj-75821	85	10	of	of	ADP
esrj-75821	85	11	pistachio	pistachio	NOUN
esrj-75821	85	12	and	and	CCONJ
esrj-75821	85	13	alfalfa	alfalfa	NOUN
esrj-75821	85	14	.	.	PUNCT
esrj-75821	86	1	at	at	ADP
esrj-75821	86	2	present	present	ADJ
esrj-75821	86	3	,	,	PUNCT
esrj-75821	86	4	37	37	NUM
esrj-75821	86	5	%	%	NOUN
esrj-75821	86	6	of	of	ADP
esrj-75821	86	7	the	the	DET
esrj-75821	86	8	watershed	watershed	ADJ
esrj-75821	86	9	area	area	NOUN
esrj-75821	86	10	is	be	AUX
esrj-75821	86	11	under	under	ADP
esrj-75821	86	12	farmlands	farmland	NOUN
esrj-75821	86	13	and	and	CCONJ
esrj-75821	86	14	orchards	orchard	NOUN
esrj-75821	86	15	(	(	PUNCT
esrj-75821	86	16	over	over	ADP
esrj-75821	86	17	35,000	35,000	NUM
esrj-75821	86	18	ha	ha	NOUN
esrj-75821	86	19	)	)	PUNCT
esrj-75821	86	20	.	.	PUNCT
esrj-75821	87	1	24,000	24,000	NUM
esrj-75821	87	2	ha	ha	INTJ
esrj-75821	87	3	out	out	ADP
esrj-75821	87	4	of	of	ADP
esrj-75821	87	5	35,000	35,000	NUM
esrj-75821	87	6	ha	ha	NOUN
esrj-75821	87	7	are	be	AUX
esrj-75821	87	8	alfalfa	alfalfa	NOUN
esrj-75821	87	9	fields	field	NOUN
esrj-75821	87	10	and	and	CCONJ
esrj-75821	87	11	pistachio	pistachio	NOUN
esrj-75821	87	12	orchards	orchard	NOUN
esrj-75821	87	13	.	.	PUNCT
esrj-75821	88	1	according	accord	VERB
esrj-75821	88	2	to	to	ADP
esrj-75821	88	3	the	the	DET
esrj-75821	88	4	iranian	iranian	PROPN
esrj-75821	88	5	ministry	ministry	PROPN
esrj-75821	88	6	of	of	ADP
esrj-75821	88	7	agriculture	agriculture	PROPN
esrj-75821	88	8	,	,	PUNCT
esrj-75821	88	9	in	in	ADP
esrj-75821	88	10	1989	1989	NUM
esrj-75821	88	11	,	,	PUNCT
esrj-75821	88	12	the	the	DET
esrj-75821	88	13	area	area	NOUN
esrj-75821	88	14	of	of	ADP
esrj-75821	88	15	pistachio	pistachio	NOUN
esrj-75821	88	16	orchards	orchard	NOUN
esrj-75821	88	17	and	and	CCONJ
esrj-75821	88	18	alfalfa	alfalfa	NOUN
esrj-75821	88	19	fields	field	NOUN
esrj-75821	88	20	was	be	AUX
esrj-75821	88	21	5,000	5,000	NUM
esrj-75821	88	22	ha	ha	NOUN
esrj-75821	88	23	,	,	PUNCT
esrj-75821	88	24	indicating	indicate	VERB
esrj-75821	88	25	a	a	DET
esrj-75821	88	26	7	7	NUM
esrj-75821	88	27	-	-	ADJ
esrj-75821	88	28	fold	fold	ADJ
esrj-75821	88	29	increase	increase	NOUN
esrj-75821	88	30	in	in	ADP
esrj-75821	88	31	the	the	DET
esrj-75821	88	32	farming	farming	NOUN
esrj-75821	88	33	area	area	NOUN
esrj-75821	88	34	.	.	PUNCT
esrj-75821	89	1	the	the	DET
esrj-75821	89	2	rangelands	rangeland	NOUN
esrj-75821	89	3	are	be	AUX
esrj-75821	89	4	converted	convert	VERB
esrj-75821	89	5	to	to	ADP
esrj-75821	89	6	farms	farm	NOUN
esrj-75821	89	7	and	and	CCONJ
esrj-75821	89	8	orchards	orchard	NOUN
esrj-75821	89	9	and	and	CCONJ
esrj-75821	89	10	drilling	drill	VERB
esrj-75821	89	11	numerous	numerous	ADJ
esrj-75821	89	12	water	water	NOUN
esrj-75821	89	13	wells	well	NOUN
esrj-75821	89	14	increased	increase	VERB
esrj-75821	89	15	the	the	DET
esrj-75821	89	16	farming	farming	NOUN
esrj-75821	89	17	intensity	intensity	NOUN
esrj-75821	89	18	.	.	PUNCT
esrj-75821	90	1	the	the	DET
esrj-75821	90	2	climate	climate	NOUN
esrj-75821	90	3	of	of	ADP
esrj-75821	90	4	the	the	DET
esrj-75821	90	5	area	area	NOUN
esrj-75821	90	6	is	be	AUX
esrj-75821	90	7	arid	arid	ADJ
esrj-75821	90	8	,	,	PUNCT
esrj-75821	90	9	and	and	CCONJ
esrj-75821	90	10	the	the	DET
esrj-75821	90	11	average	average	ADJ
esrj-75821	90	12	rainfall	rainfall	NOUN
esrj-75821	90	13	is	be	AUX
esrj-75821	90	14	145.3	145.3	NUM
esrj-75821	90	15	mm	mm	NOUN
esrj-75821	90	16	.	.	PUNCT
esrj-75821	91	1	groundwater	groundwater	NOUN
esrj-75821	91	2	data	datum	NOUN
esrj-75821	91	3	of	of	ADP
esrj-75821	91	4	24	24	NUM
esrj-75821	91	5	piezometric	piezometric	ADJ
esrj-75821	91	6	wells	well	NOUN
esrj-75821	91	7	from	from	ADP
esrj-75821	91	8	2002	2002	NUM
esrj-75821	91	9	to	to	ADP
esrj-75821	91	10	2016	2016	NUM
esrj-75821	91	11	was	be	AUX
esrj-75821	91	12	used	use	VERB
esrj-75821	91	13	to	to	PART
esrj-75821	91	14	do	do	VERB
esrj-75821	91	15	modelling	model	VERB
esrj-75821	91	16	studies	study	NOUN
esrj-75821	91	17	using	use	VERB
esrj-75821	91	18	pls	pls	PROPN
esrj-75821	91	19	regression	regression	NOUN
esrj-75821	91	20	,	,	PUNCT
esrj-75821	91	21	ann	ann	PROPN
esrj-75821	91	22	,	,	PUNCT
esrj-75821	91	23	and	and	CCONJ
esrj-75821	91	24	anfis	anfi	VERB
esrj-75821	91	25	.	.	PUNCT
esrj-75821	92	1	in	in	ADP
esrj-75821	92	2	addition	addition	NOUN
esrj-75821	92	3	to	to	ADP
esrj-75821	92	4	monthly	monthly	ADJ
esrj-75821	92	5	rainfall	rainfall	NOUN
esrj-75821	92	6	,	,	PUNCT
esrj-75821	92	7	topographic	topographic	PROPN
esrj-75821	92	8	wetness	wetness	PROPN
esrj-75821	92	9	index	index	NOUN
esrj-75821	92	10	(	(	PUNCT
esrj-75821	92	11	twi	twi	NOUN
esrj-75821	92	12	)	)	PUNCT
esrj-75821	92	13	,	,	PUNCT
esrj-75821	92	14	distance	distance	NOUN
esrj-75821	92	15	of	of	ADP
esrj-75821	92	16	the	the	DET
esrj-75821	92	17	river	river	NOUN
esrj-75821	92	18	(	(	PUNCT
esrj-75821	92	19	m	m	PROPN
esrj-75821	92	20	)	)	PUNCT
esrj-75821	92	21	,	,	PUNCT
esrj-75821	92	22	355prediction	355prediction	PROPN
esrj-75821	92	23	of	of	ADP
esrj-75821	92	24	land	land	NOUN
esrj-75821	92	25	degradation	degradation	NOUN
esrj-75821	92	26	by	by	ADP
esrj-75821	92	27	machine	machine	NOUN
esrj-75821	92	28	learning	learning	NOUN
esrj-75821	92	29	methods	method	NOUN
esrj-75821	92	30	:	:	PUNCT
esrj-75821	92	31	a	a	DET
esrj-75821	92	32	case	case	NOUN
esrj-75821	92	33	study	study	NOUN
esrj-75821	92	34	from	from	ADP
esrj-75821	92	35	sharifabad	sharifabad	PROPN
esrj-75821	92	36	watershed	watershed	PROPN
esrj-75821	92	37	,	,	PUNCT
esrj-75821	92	38	central	central	ADJ
esrj-75821	92	39	iran	iran	PROPN
esrj-75821	92	40	latitude	latitude	NOUN
esrj-75821	92	41	and	and	CCONJ
esrj-75821	92	42	longitude	longitude	VERB
esrj-75821	92	43	in	in	ADP
esrj-75821	92	44	the	the	DET
esrj-75821	92	45	universal	universal	ADJ
esrj-75821	92	46	transverse	transverse	NOUN
esrj-75821	92	47	mercator	mercator	NOUN
esrj-75821	92	48	(	(	PUNCT
esrj-75821	92	49	utm	utm	PROPN
esrj-75821	92	50	)	)	PUNCT
esrj-75821	92	51	coordinate	coordinate	NOUN
esrj-75821	92	52	system	system	NOUN
esrj-75821	92	53	were	be	AUX
esrj-75821	92	54	explained	explain	VERB
esrj-75821	92	55	input	input	NOUN
esrj-75821	92	56	and	and	CCONJ
esrj-75821	92	57	level	level	NOUN
esrj-75821	92	58	of	of	ADP
esrj-75821	92	59	groundwater	groundwater	NOUN
esrj-75821	92	60	set	set	VERB
esrj-75821	92	61	an	an	DET
esrj-75821	92	62	output	output	NOUN
esrj-75821	92	63	of	of	ADP
esrj-75821	92	64	each	each	DET
esrj-75821	92	65	method	method	NOUN
esrj-75821	92	66	.	.	PUNCT
esrj-75821	93	1	however	however	ADV
esrj-75821	93	2	,	,	PUNCT
esrj-75821	93	3	to	to	PART
esrj-75821	93	4	activate	activate	VERB
esrj-75821	93	5	the	the	PRON
esrj-75821	93	6	over	over	ADP
esrj-75821	93	7	fitting	fitting	ADJ
esrj-75821	93	8	condition	condition	NOUN
esrj-75821	93	9	,	,	PUNCT
esrj-75821	93	10	in	in	ADP
esrj-75821	93	11	all	all	DET
esrj-75821	93	12	models	model	NOUN
esrj-75821	93	13	,	,	PUNCT
esrj-75821	93	14	70	70	NUM
esrj-75821	93	15	%	%	NOUN
esrj-75821	93	16	of	of	ADP
esrj-75821	93	17	the	the	DET
esrj-75821	93	18	data	datum	NOUN
esrj-75821	93	19	was	be	AUX
esrj-75821	93	20	applied	apply	VERB
esrj-75821	93	21	for	for	ADP
esrj-75821	93	22	model	model	NOUN
esrj-75821	93	23	training	training	NOUN
esrj-75821	93	24	,	,	PUNCT
esrj-75821	93	25	while	while	SCONJ
esrj-75821	93	26	30	30	NUM
esrj-75821	93	27	%	%	NOUN
esrj-75821	93	28	of	of	ADP
esrj-75821	93	29	data	datum	NOUN
esrj-75821	93	30	were	be	AUX
esrj-75821	93	31	employed	employ	VERB
esrj-75821	93	32	for	for	ADP
esrj-75821	93	33	testing	testing	NOUN
esrj-75821	93	34	and	and	CCONJ
esrj-75821	93	35	validation	validation	NOUN
esrj-75821	93	36	.	.	PUNCT
esrj-75821	94	1	the	the	DET
esrj-75821	94	2	coefficient	coefficient	NOUN
esrj-75821	94	3	of	of	ADP
esrj-75821	94	4	correlation	correlation	NOUN
esrj-75821	94	5	is	be	AUX
esrj-75821	94	6	calculated	calculate	VERB
esrj-75821	94	7	as	as	ADP
esrj-75821	94	8	the	the	DET
esrj-75821	94	9	criterion	criterion	NOUN
esrj-75821	94	10	of	of	ADP
esrj-75821	94	11	a	a	DET
esrj-75821	94	12	linear	linear	ADJ
esrj-75821	94	13	relationship	relationship	NOUN
esrj-75821	94	14	between	between	ADP
esrj-75821	94	15	observational	observational	ADJ
esrj-75821	94	16	and	and	CCONJ
esrj-75821	94	17	estimated	estimated	ADJ
esrj-75821	94	18	values	value	NOUN
esrj-75821	94	19	(	(	PUNCT
esrj-75821	94	20	rankovic	rankovic	PROPN
esrj-75821	94	21	et	et	PROPN
esrj-75821	94	22	al	al	PROPN
esrj-75821	94	23	.	.	PROPN
esrj-75821	94	24	,	,	PUNCT
esrj-75821	94	25	2012	2012	NUM
esrj-75821	94	26	)	)	PUNCT
esrj-75821	94	27	.	.	PUNCT
esrj-75821	95	1	a	a	DET
esrj-75821	95	2	brief	brief	ADJ
esrj-75821	95	3	description	description	NOUN
esrj-75821	95	4	of	of	ADP
esrj-75821	95	5	models	model	NOUN
esrj-75821	95	6	is	be	AUX
esrj-75821	95	7	demonstrated	demonstrate	VERB
esrj-75821	95	8	in	in	ADP
esrj-75821	95	9	sections	section	NOUN
esrj-75821	95	10	.	.	PUNCT
esrj-75821	96	1	2.2	2.2	NUM
esrj-75821	96	2	.	.	PUNCT
esrj-75821	96	3	partial	partial	ADJ
esrj-75821	96	4	least	least	ADJ
esrj-75821	96	5	square	square	ADJ
esrj-75821	96	6	regression	regression	NOUN
esrj-75821	96	7	(	(	PUNCT
esrj-75821	96	8	plsr	plsr	NOUN
esrj-75821	96	9	)	)	PUNCT
esrj-75821	96	10	partial	partial	ADJ
esrj-75821	96	11	least	least	ADJ
esrj-75821	96	12	square	square	ADJ
esrj-75821	96	13	regression	regression	NOUN
esrj-75821	96	14	(	(	PUNCT
esrj-75821	96	15	plsr	plsr	PROPN
esrj-75821	96	16	)	)	PUNCT
esrj-75821	96	17	is	be	AUX
esrj-75821	96	18	a	a	DET
esrj-75821	96	19	modern	modern	ADJ
esrj-75821	96	20	method	method	NOUN
esrj-75821	96	21	of	of	ADP
esrj-75821	96	22	predictive	predictive	ADJ
esrj-75821	96	23	modelling	modelling	NOUN
esrj-75821	96	24	,	,	PUNCT
esrj-75821	96	25	which	which	PRON
esrj-75821	96	26	works	work	VERB
esrj-75821	96	27	with	with	ADP
esrj-75821	96	28	large	large	ADJ
esrj-75821	96	29	data	datum	NOUN
esrj-75821	96	30	matrix	matrix	NOUN
esrj-75821	96	31	and	and	CCONJ
esrj-75821	96	32	collinear	collinear	ADJ
esrj-75821	96	33	variables	variable	NOUN
esrj-75821	96	34	.	.	PUNCT
esrj-75821	97	1	plsr	plsr	PROPN
esrj-75821	97	2	was	be	AUX
esrj-75821	97	3	first	first	ADV
esrj-75821	97	4	developed	develop	VERB
esrj-75821	97	5	by	by	ADP
esrj-75821	97	6	wold	wold	ADJ
esrj-75821	97	7	(	(	PUNCT
esrj-75821	97	8	1985	1985	NUM
esrj-75821	97	9	)	)	PUNCT
esrj-75821	97	10	but	but	CCONJ
esrj-75821	97	11	the	the	DET
esrj-75821	97	12	theoretical	theoretical	ADJ
esrj-75821	97	13	basis	basis	NOUN
esrj-75821	97	14	of	of	ADP
esrj-75821	97	15	plsr	plsr	NOUN
esrj-75821	97	16	was	be	AUX
esrj-75821	97	17	developed	develop	VERB
esrj-75821	97	18	by	by	ADP
esrj-75821	97	19	varmuza	varmuza	NOUN
esrj-75821	97	20	and	and	CCONJ
esrj-75821	97	21	filzmoser	filzmoser	NOUN
esrj-75821	97	22	(	(	PUNCT
esrj-75821	97	23	2009	2009	NUM
esrj-75821	97	24	)	)	PUNCT
esrj-75821	97	25	.	.	PUNCT
esrj-75821	98	1	plsr	plsr	PROPN
esrj-75821	98	2	generalizes	generalize	VERB
esrj-75821	98	3	the	the	DET
esrj-75821	98	4	important	important	ADJ
esrj-75821	98	5	aspects	aspect	NOUN
esrj-75821	98	6	of	of	ADP
esrj-75821	98	7	multiple	multiple	ADJ
esrj-75821	98	8	linear	linear	ADJ
esrj-75821	98	9	regression	regression	NOUN
esrj-75821	98	10	(	(	PUNCT
esrj-75821	98	11	mlr	mlr	NOUN
esrj-75821	98	12	)	)	PUNCT
esrj-75821	98	13	and	and	CCONJ
esrj-75821	98	14	principal	principal	ADJ
esrj-75821	98	15	component	component	NOUN
esrj-75821	98	16	regression	regression	NOUN
esrj-75821	98	17	(	(	PUNCT
esrj-75821	98	18	pcr	pcr	NOUN
esrj-75821	98	19	)	)	PUNCT
esrj-75821	98	20	.	.	PUNCT
esrj-75821	99	1	ordinary	ordinary	ADJ
esrj-75821	99	2	least	least	ADJ
esrj-75821	99	3	square	square	ADJ
esrj-75821	99	4	(	(	PUNCT
esrj-75821	99	5	ols	ol	NOUN
esrj-75821	99	6	)	)	PUNCT
esrj-75821	99	7	regression	regression	NOUN
esrj-75821	99	8	works	work	VERB
esrj-75821	99	9	well	well	ADV
esrj-75821	99	10	with	with	ADP
esrj-75821	99	11	a	a	DET
esrj-75821	99	12	full	full	ADJ
esrj-75821	99	13	rank	rank	NOUN
esrj-75821	99	14	matrix	matrix	NOUN
esrj-75821	99	15	of	of	ADP
esrj-75821	99	16	predictors	predictor	NOUN
esrj-75821	99	17	(	(	PUNCT
esrj-75821	99	18	x	x	NOUN
esrj-75821	99	19	)	)	PUNCT
esrj-75821	99	20	but	but	CCONJ
esrj-75821	99	21	when	when	SCONJ
esrj-75821	99	22	x	x	PRON
esrj-75821	99	23	is	be	AUX
esrj-75821	99	24	singular	singular	ADJ
esrj-75821	99	25	,	,	PUNCT
esrj-75821	99	26	plsr	plsr	PROPN
esrj-75821	99	27	takes	take	VERB
esrj-75821	99	28	care	care	NOUN
esrj-75821	99	29	of	of	ADP
esrj-75821	99	30	the	the	DET
esrj-75821	99	31	problem	problem	NOUN
esrj-75821	99	32	.	.	PUNCT
esrj-75821	100	1	plsr	plsr	PROPN
esrj-75821	100	2	extracts	extract	VERB
esrj-75821	100	3	the	the	DET
esrj-75821	100	4	factors	factor	NOUN
esrj-75821	100	5	from	from	ADP
esrj-75821	100	6	x	x	PUNCT
esrj-75821	100	7	and	and	CCONJ
esrj-75821	100	8	y	y	PROPN
esrj-75821	100	9	matrices	matrix	NOUN
esrj-75821	100	10	and	and	CCONJ
esrj-75821	100	11	maximizes	maximize	VERB
esrj-75821	100	12	the	the	DET
esrj-75821	100	13	covariance	covariance	NOUN
esrj-75821	100	14	.	.	PUNCT
esrj-75821	101	1	plsr	plsr	PROPN
esrj-75821	101	2	uses	use	VERB
esrj-75821	101	3	the	the	DET
esrj-75821	101	4	linear	linear	ADJ
esrj-75821	101	5	decomposition	decomposition	NOUN
esrj-75821	101	6	of	of	ADP
esrj-75821	101	7	x	x	X
esrj-75821	101	8	and	and	CCONJ
esrj-75821	101	9	y	y	PROPN
esrj-75821	101	10	as	as	ADP
esrj-75821	101	11	:	:	PUNCT
esrj-75821	101	12	x	x	SYM
esrj-75821	101	13	=	=	SYM
esrj-75821	101	14	t	t	X
esrj-75821	101	15	pt	pt	X
esrj-75821	102	1	+	+	NOUN
esrj-75821	102	2	ex	ex	X
esrj-75821	102	3	and	and	CCONJ
esrj-75821	102	4	y	y	NOUN
esrj-75821	102	5	=	=	SYM
esrj-75821	102	6	uqt	uqt	PROPN
esrj-75821	103	1	+	+	CCONJ
esrj-75821	103	2	ey	ey	INTJ
esrj-75821	103	3	where	where	SCONJ
esrj-75821	103	4	t	t	NOUN
esrj-75821	103	5	=	=	SYM
esrj-75821	103	6	x	x	NOUN
esrj-75821	103	7	-	-	NOUN
esrj-75821	103	8	scores	score	NOUN
esrj-75821	103	9	and	and	CCONJ
esrj-75821	103	10	u	u	X
esrj-75821	103	11	=	=	PROPN
esrj-75821	103	12	y	y	PROPN
esrj-75821	103	13	-	-	PUNCT
esrj-75821	103	14	scores	score	VERB
esrj-75821	104	1	p	p	X
esrj-75821	104	2	=	=	PUNCT
esrj-75821	104	3	x	x	NOUN
esrj-75821	104	4	-	-	NOUN
esrj-75821	104	5	loadings	loading	NOUN
esrj-75821	104	6	and	and	CCONJ
esrj-75821	104	7	q	q	NOUN
esrj-75821	104	8	=	=	ADJ
esrj-75821	104	9	y	y	NOUN
esrj-75821	104	10	-	-	PUNCT
esrj-75821	104	11	loadings	loading	NOUN
esrj-75821	104	12	,	,	PUNCT
esrj-75821	104	13	ex	ex	X
esrj-75821	104	14	=	=	NOUN
esrj-75821	105	1	x	x	NOUN
esrj-75821	105	2	-	-	NOUN
esrj-75821	105	3	residuals	residual	NOUN
esrj-75821	105	4	and	and	CCONJ
esrj-75821	105	5	ey	ey	PRON
esrj-75821	105	6	=	=	NOUN
esrj-75821	105	7	y	y	PROPN
esrj-75821	105	8	-residuals	-residual	NOUN
esrj-75821	105	9	using	use	VERB
esrj-75821	105	10	the	the	DET
esrj-75821	105	11	u	u	NOUN
esrj-75821	105	12	,	,	PUNCT
esrj-75821	105	13	plsr	plsr	NOUN
esrj-75821	105	14	automatically	automatically	ADV
esrj-75821	105	15	predicts	predict	VERB
esrj-75821	105	16	y.	y.	PROPN
esrj-75821	105	17	t	t	PROPN
esrj-75821	105	18	and	and	CCONJ
esrj-75821	105	19	u	u	PRON
esrj-75821	105	20	are	be	AUX
esrj-75821	105	21	linear	linear	ADJ
esrj-75821	105	22	combinations	combination	NOUN
esrj-75821	105	23	of	of	ADP
esrj-75821	105	24	x	x	PUNCT
esrj-75821	105	25	and	and	CCONJ
esrj-75821	105	26	y	y	PROPN
esrj-75821	105	27	variables	variable	NOUN
esrj-75821	105	28	,	,	PUNCT
esrj-75821	105	29	respectively	respectively	ADV
esrj-75821	105	30	.	.	PUNCT
esrj-75821	106	1	suppose	suppose	VERB
esrj-75821	106	2	tj	tj	PROPN
esrj-75821	106	3	,	,	PUNCT
esrj-75821	106	4	uj	uj	PROPN
esrj-75821	106	5	,	,	PUNCT
esrj-75821	106	6	pj	pj	PROPN
esrj-75821	106	7	and	and	CCONJ
esrj-75821	106	8	qj	qj	PROPN
esrj-75821	106	9	denote	denote	VERB
esrj-75821	106	10	the	the	DET
esrj-75821	106	11	jth	jth	PROPN
esrj-75821	106	12	columns	column	NOUN
esrj-75821	106	13	of	of	ADP
esrj-75821	106	14	t	t	PROPN
esrj-75821	106	15	,	,	PUNCT
esrj-75821	106	16	u	u	NOUN
esrj-75821	106	17	,	,	PUNCT
esrj-75821	106	18	p	p	X
esrj-75821	106	19	,	,	PUNCT
esrj-75821	106	20	and	and	CCONJ
esrj-75821	106	21	q	q	ADJ
esrj-75821	106	22	respectively	respectively	ADV
esrj-75821	106	23	,	,	PUNCT
esrj-75821	106	24	where	where	SCONJ
esrj-75821	106	25	(	(	PUNCT
esrj-75821	106	26	j	j	NOUN
esrj-75821	106	27	=	=	SYM
esrj-75821	106	28	1	1	NUM
esrj-75821	106	29	...	...	PUNCT
esrj-75821	106	30	,	,	PUNCT
esrj-75821	106	31	a	a	PRON
esrj-75821	106	32	)	)	PUNCT
esrj-75821	106	33	.	.	PUNCT
esrj-75821	107	1	2.3	2.3	NUM
esrj-75821	107	2	.	.	PUNCT
esrj-75821	108	1	artificial	artificial	ADJ
esrj-75821	108	2	neural	neural	ADJ
esrj-75821	108	3	networks	network	NOUN
esrj-75821	108	4	the	the	DET
esrj-75821	108	5	artificial	artificial	ADJ
esrj-75821	108	6	neural	neural	ADJ
esrj-75821	108	7	network	network	NOUN
esrj-75821	108	8	(	(	PUNCT
esrj-75821	108	9	ann	ann	PROPN
esrj-75821	108	10	)	)	PUNCT
esrj-75821	108	11	is	be	AUX
esrj-75821	108	12	a	a	DET
esrj-75821	108	13	computational	computational	ADJ
esrj-75821	108	14	approach	approach	NOUN
esrj-75821	108	15	introduced	introduce	VERB
esrj-75821	108	16	to	to	PART
esrj-75821	108	17	model	model	VERB
esrj-75821	108	18	the	the	DET
esrj-75821	108	19	neurons	neuron	NOUN
esrj-75821	108	20	’	'	PUNCT
esrj-75821	108	21	function	function	NOUN
esrj-75821	108	22	in	in	ADP
esrj-75821	108	23	living	live	VERB
esrj-75821	108	24	tissues	tissue	NOUN
esrj-75821	108	25	.	.	PUNCT
esrj-75821	109	1	mcculloch	mcculloch	PROPN
esrj-75821	109	2	and	and	CCONJ
esrj-75821	109	3	pitts	pitts	PROPN
esrj-75821	109	4	(	(	PUNCT
esrj-75821	109	5	1943	1943	NUM
esrj-75821	109	6	)	)	PUNCT
esrj-75821	109	7	developed	develop	VERB
esrj-75821	109	8	a	a	DET
esrj-75821	109	9	mathematical	mathematical	ADJ
esrj-75821	109	10	analysis	analysis	NOUN
esrj-75821	109	11	for	for	ADP
esrj-75821	109	12	ann	ann	PROPN
esrj-75821	109	13	from	from	ADP
esrj-75821	109	14	algorithms	algorithm	NOUN
esrj-75821	109	15	and	and	CCONJ
esrj-75821	109	16	applied	apply	VERB
esrj-75821	109	17	mathematics	mathematic	NOUN
esrj-75821	109	18	called	call	VERB
esrj-75821	109	19	threshold	threshold	NOUN
esrj-75821	109	20	logic	logic	NOUN
esrj-75821	109	21	to	to	ADP
esrj-75821	109	22	it	it	PRON
esrj-75821	109	23	.	.	PUNCT
esrj-75821	110	1	choosing	choose	VERB
esrj-75821	110	2	the	the	DET
esrj-75821	110	3	right	right	ADJ
esrj-75821	110	4	number	number	NOUN
esrj-75821	110	5	of	of	ADP
esrj-75821	110	6	neurons	neuron	NOUN
esrj-75821	110	7	and	and	CCONJ
esrj-75821	110	8	layers	layer	NOUN
esrj-75821	110	9	provide	provide	VERB
esrj-75821	110	10	a	a	DET
esrj-75821	110	11	better	well	ADJ
esrj-75821	110	12	model	model	NOUN
esrj-75821	110	13	of	of	ADP
esrj-75821	110	14	the	the	DET
esrj-75821	110	15	artificial	artificial	ADJ
esrj-75821	110	16	neural	neural	ADJ
esrj-75821	110	17	network	network	NOUN
esrj-75821	110	18	(	(	PUNCT
esrj-75821	110	19	ennouri	ennouri	PROPN
esrj-75821	110	20	et	et	PROPN
esrj-75821	110	21	al	al	PROPN
esrj-75821	110	22	.	.	PROPN
esrj-75821	110	23	,	,	PUNCT
esrj-75821	110	24	2017	2017	NUM
esrj-75821	110	25	)	)	PUNCT
esrj-75821	110	26	.	.	PUNCT
esrj-75821	111	1	in	in	ADP
esrj-75821	111	2	neural	neural	ADJ
esrj-75821	111	3	networks	network	NOUN
esrj-75821	111	4	,	,	PUNCT
esrj-75821	111	5	neurons	neuron	NOUN
esrj-75821	111	6	are	be	AUX
esrj-75821	111	7	responsible	responsible	ADJ
esrj-75821	111	8	for	for	ADP
esrj-75821	111	9	processing	processing	NOUN
esrj-75821	111	10	.	.	PUNCT
esrj-75821	112	1	in	in	ADP
esrj-75821	112	2	fact	fact	NOUN
esrj-75821	112	3	,	,	PUNCT
esrj-75821	112	4	each	each	DET
esrj-75821	112	5	neuron	neuron	NOUN
esrj-75821	112	6	is	be	AUX
esrj-75821	112	7	associated	associate	VERB
esrj-75821	112	8	with	with	ADP
esrj-75821	112	9	a	a	DET
esrj-75821	112	10	set	set	NOUN
esrj-75821	112	11	of	of	ADP
esrj-75821	112	12	its	its	PRON
esrj-75821	112	13	preceding	precede	VERB
esrj-75821	112	14	and	and	CCONJ
esrj-75821	112	15	subsequent	subsequent	ADJ
esrj-75821	112	16	elements	element	NOUN
esrj-75821	112	17	,	,	PUNCT
esrj-75821	112	18	which	which	PRON
esrj-75821	112	19	,	,	PUNCT
esrj-75821	112	20	this	this	DET
esrj-75821	112	21	non	non	ADJ
esrj-75821	112	22	-	-	ADJ
esrj-75821	112	23	linear	linear	ADJ
esrj-75821	112	24	relationship	relationship	NOUN
esrj-75821	112	25	provides	provide	VERB
esrj-75821	112	26	the	the	DET
esrj-75821	112	27	prediction	prediction	NOUN
esrj-75821	112	28	of	of	ADP
esrj-75821	112	29	target	target	NOUN
esrj-75821	112	30	data	datum	NOUN
esrj-75821	112	31	(	(	PUNCT
esrj-75821	112	32	alipour	alipour	PROPN
esrj-75821	112	33	et	et	PROPN
esrj-75821	112	34	al	al	PROPN
esrj-75821	112	35	.	.	PROPN
esrj-75821	112	36	,	,	PUNCT
esrj-75821	112	37	2014	2014	NUM
esrj-75821	112	38	)	)	PUNCT
esrj-75821	112	39	.	.	PUNCT
esrj-75821	113	1	li	li	PROPN
esrj-75821	113	2	et	et	PROPN
esrj-75821	113	3	al	al	PROPN
esrj-75821	113	4	.	.	PROPN
esrj-75821	114	1	(	(	PUNCT
esrj-75821	114	2	2018	2018	NUM
esrj-75821	114	3	)	)	PUNCT
esrj-75821	114	4	proposed	propose	VERB
esrj-75821	114	5	that	that	SCONJ
esrj-75821	114	6	anns	anns	NOUN
esrj-75821	114	7	can	can	AUX
esrj-75821	114	8	be	be	AUX
esrj-75821	114	9	used	use	VERB
esrj-75821	114	10	at	at	ADP
esrj-75821	114	11	events	event	NOUN
esrj-75821	114	12	that	that	PRON
esrj-75821	114	13	do	do	AUX
esrj-75821	114	14	not	not	PART
esrj-75821	114	15	have	have	VERB
esrj-75821	114	16	the	the	DET
esrj-75821	114	17	structure	structure	NOUN
esrj-75821	114	18	and	and	CCONJ
esrj-75821	114	19	complexity	complexity	NOUN
esrj-75821	114	20	of	of	ADP
esrj-75821	114	21	the	the	DET
esrj-75821	114	22	relationship	relationship	NOUN
esrj-75821	114	23	among	among	ADP
esrj-75821	114	24	output	output	NOUN
esrj-75821	114	25	data	datum	NOUN
esrj-75821	114	26	and	and	CCONJ
esrj-75821	114	27	input	input	NOUN
esrj-75821	114	28	information	information	NOUN
esrj-75821	114	29	.	.	PUNCT
esrj-75821	115	1	network	network	NOUN
esrj-75821	115	2	models	model	NOUN
esrj-75821	115	3	,	,	PUNCT
esrj-75821	115	4	multilayer	multilayer	PROPN
esrj-75821	115	5	perceptron	perceptron	PROPN
esrj-75821	115	6	’s	’s	PART
esrj-75821	115	7	(	(	PUNCT
esrj-75821	115	8	mlps	mlps	PROPN
esrj-75821	115	9	)	)	PUNCT
esrj-75821	115	10	,	,	PUNCT
esrj-75821	115	11	generalized	generalize	VERB
esrj-75821	115	12	feed	feed	NOUN
esrj-75821	115	13	forward	forward	ADV
esrj-75821	115	14	networks	network	NOUN
esrj-75821	115	15	(	(	PUNCT
esrj-75821	115	16	gff	gff	PROPN
esrj-75821	115	17	)	)	PUNCT
esrj-75821	115	18	,	,	PUNCT
esrj-75821	115	19	modular	modular	ADJ
esrj-75821	115	20	neural	neural	ADJ
esrj-75821	115	21	networks	network	NOUN
esrj-75821	115	22	(	(	PUNCT
esrj-75821	115	23	mnn	mnn	PROPN
esrj-75821	115	24	)	)	PUNCT
esrj-75821	115	25	,	,	PUNCT
esrj-75821	115	26	radial	radial	ADJ
esrj-75821	115	27	basis	basis	NOUN
esrj-75821	115	28	function	function	NOUN
esrj-75821	115	29	(	(	PUNCT
esrj-75821	115	30	rbf	rbf	PROPN
esrj-75821	115	31	)	)	PUNCT
esrj-75821	115	32	trained	train	VERB
esrj-75821	115	33	by	by	ADP
esrj-75821	115	34	momentum	momentum	NOUN
esrj-75821	115	35	optimization	optimization	NOUN
esrj-75821	115	36	algorithm	algorithm	NOUN
esrj-75821	115	37	(	(	PUNCT
esrj-75821	115	38	mo	mo	PROPN
esrj-75821	115	39	)	)	PUNCT
esrj-75821	115	40	,	,	PUNCT
esrj-75821	115	41	levenberg	levenberg	PROPN
esrj-75821	115	42	-	-	PUNCT
esrj-75821	115	43	marquardt	marquardt	PROPN
esrj-75821	115	44	algorithm	algorithm	PROPN
esrj-75821	115	45	(	(	PUNCT
esrj-75821	115	46	lm	lm	INTJ
esrj-75821	115	47	)	)	PUNCT
esrj-75821	115	48	,	,	PUNCT
esrj-75821	115	49	conjugate	conjugate	ADJ
esrj-75821	115	50	gradient	gradient	NOUN
esrj-75821	115	51	(	(	PUNCT
esrj-75821	115	52	cg	cg	NOUN
esrj-75821	115	53	)	)	PUNCT
esrj-75821	115	54	learning	learn	VERB
esrj-75821	115	55	rule	rule	NOUN
esrj-75821	115	56	,	,	PUNCT
esrj-75821	115	57	sigmoid	sigmoid	NOUN
esrj-75821	115	58	axon	axon	NOUN
esrj-75821	115	59	and	and	CCONJ
esrj-75821	115	60	tanh	tanh	NOUN
esrj-75821	115	61	axon	axon	NOUN
esrj-75821	115	62	as	as	SCONJ
esrj-75821	115	63	transfer	transfer	NOUN
esrj-75821	115	64	function	function	NOUN
esrj-75821	115	65	were	be	AUX
esrj-75821	115	66	selected	select	VERB
esrj-75821	115	67	and	and	CCONJ
esrj-75821	115	68	compared	compare	VERB
esrj-75821	115	69	in	in	ADP
esrj-75821	115	70	neurosolution	neurosolution	NOUN
esrj-75821	115	71	software	software	NOUN
esrj-75821	115	72	.	.	PUNCT
esrj-75821	116	1	four	four	NUM
esrj-75821	116	2	hidden	hidden	ADJ
esrj-75821	116	3	layers	layer	NOUN
esrj-75821	116	4	were	be	AUX
esrj-75821	116	5	used	use	VERB
esrj-75821	116	6	to	to	PART
esrj-75821	116	7	regulate	regulate	VERB
esrj-75821	116	8	the	the	DET
esrj-75821	116	9	weights	weight	NOUN
esrj-75821	116	10	of	of	ADP
esrj-75821	116	11	neurons	neuron	NOUN
esrj-75821	116	12	to	to	PART
esrj-75821	116	13	achieve	achieve	VERB
esrj-75821	116	14	the	the	DET
esrj-75821	116	15	desired	desire	VERB
esrj-75821	116	16	output	output	NOUN
esrj-75821	116	17	.	.	PUNCT
esrj-75821	117	1	for	for	ADP
esrj-75821	117	2	network	network	NOUN
esrj-75821	117	3	model	model	NOUN
esrj-75821	117	4	,	,	PUNCT
esrj-75821	117	5	in	in	ADP
esrj-75821	117	6	addition	addition	NOUN
esrj-75821	117	7	to	to	ADP
esrj-75821	117	8	rainfall	rainfall	NOUN
esrj-75821	117	9	,	,	PUNCT
esrj-75821	117	10	distance	distance	NOUN
esrj-75821	117	11	piezometer	piezometer	NOUN
esrj-75821	117	12	well	well	ADV
esrj-75821	117	13	from	from	ADP
esrj-75821	117	14	the	the	DET
esrj-75821	117	15	qara	qara	ADJ
esrj-75821	117	16	-	-	PUNCT
esrj-75821	117	17	chai	chai	NOUN
esrj-75821	117	18	river	river	NOUN
esrj-75821	117	19	,	,	PUNCT
esrj-75821	117	20	topographic	topographic	PROPN
esrj-75821	117	21	wetness	wetness	PROPN
esrj-75821	117	22	index	index	NOUN
esrj-75821	117	23	(	(	PUNCT
esrj-75821	117	24	twi	twi	NOUN
esrj-75821	117	25	)	)	PUNCT
esrj-75821	117	26	,	,	PUNCT
esrj-75821	117	27	latitude	latitude	NOUN
esrj-75821	117	28	and	and	CCONJ
esrj-75821	117	29	longitude	longitude	NOUN
esrj-75821	117	30	were	be	AUX
esrj-75821	117	31	also	also	ADV
esrj-75821	117	32	considered	consider	VERB
esrj-75821	117	33	as	as	SCONJ
esrj-75821	117	34	the	the	DET
esrj-75821	117	35	input	input	NOUN
esrj-75821	117	36	and	and	CCONJ
esrj-75821	117	37	groundwater	groundwater	NOUN
esrj-75821	117	38	level	level	NOUN
esrj-75821	117	39	was	be	AUX
esrj-75821	117	40	defined	define	VERB
esrj-75821	117	41	as	as	ADP
esrj-75821	117	42	the	the	DET
esrj-75821	117	43	output	output	NOUN
esrj-75821	117	44	(	(	PUNCT
esrj-75821	117	45	fig	fig	NOUN
esrj-75821	117	46	.	.	PUNCT
esrj-75821	118	1	2	2	NUM
esrj-75821	118	2	)	)	PUNCT
esrj-75821	118	3	.	.	PUNCT
esrj-75821	119	1	the	the	DET
esrj-75821	119	2	twi	twi	PROPN
esrj-75821	119	3	indicator	indicator	NOUN
esrj-75821	119	4	is	be	AUX
esrj-75821	119	5	shown	show	VERB
esrj-75821	119	6	in	in	ADP
esrj-75821	119	7	equation-1	equation-1	PROPN
esrj-75821	119	8	.	.	PROPN
esrj-75821	119	9	twi	twi	PROPN
esrj-75821	119	10	index	index	NOUN
esrj-75821	119	11	is	be	AUX
esrj-75821	119	12	a	a	DET
esrj-75821	119	13	helpful	helpful	ADJ
esrj-75821	119	14	tool	tool	NOUN
esrj-75821	119	15	for	for	ADP
esrj-75821	119	16	describing	describe	VERB
esrj-75821	119	17	the	the	DET
esrj-75821	119	18	humidity	humidity	NOUN
esrj-75821	119	19	conditions	condition	NOUN
esrj-75821	119	20	in	in	ADP
esrj-75821	119	21	the	the	DET
esrj-75821	119	22	watershed	watershed	ADJ
esrj-75821	119	23	scale	scale	NOUN
esrj-75821	119	24	,	,	PUNCT
esrj-75821	119	25	presented	present	VERB
esrj-75821	119	26	by	by	ADP
esrj-75821	119	27	(	(	PUNCT
esrj-75821	119	28	grabs	grab	NOUN
esrj-75821	119	29	et	et	PROPN
esrj-75821	119	30	al	al	PROPN
esrj-75821	119	31	.	.	PROPN
esrj-75821	119	32	,	,	PUNCT
esrj-75821	119	33	2009	2009	NUM
esrj-75821	119	34	)	)	PUNCT
esrj-75821	119	35	.	.	PUNCT
esrj-75821	120	1	twi	twi	PROPN
esrj-75821	120	2	index	index	NOUN
esrj-75821	120	3	of	of	ADP
esrj-75821	120	4	each	each	DET
esrj-75821	120	5	piezometer	piezometer	NOUN
esrj-75821	120	6	was	be	AUX
esrj-75821	120	7	calculated	calculate	VERB
esrj-75821	120	8	using	use	VERB
esrj-75821	120	9	dem	dem	NOUN
esrj-75821	120	10	in	in	ADP
esrj-75821	120	11	saga	saga	NOUN
esrj-75821	120	12	gis	gis	PROPN
esrj-75821	120	13	software	software	NOUN
esrj-75821	120	14	(	(	PUNCT
esrj-75821	120	15	eq.1	eq.1	NOUN
esrj-75821	120	16	)	)	PUNCT
esrj-75821	120	17	.	.	PUNCT
esrj-75821	121	1	twi	twi	INTJ
esrj-75821	122	1	ln	ln	ADJ
esrj-75821	123	1	a	a	DET
esrj-75821	123	2	tan	tan	PROPN
esrj-75821	123	3	s=	s=	NOUN
esrj-75821	123	4			PROPN
esrj-75821	123	5			PROPN
esrj-75821	123	6			NOUN
esrj-75821	123	7			PROPN
esrj-75821	123	8			PUNCT
esrj-75821	124	1			NOUN
esrj-75821	124	2	β	β	X
esrj-75821	124	3	(	(	PUNCT
esrj-75821	124	4	1	1	X
esrj-75821	124	5	)	)	PUNCT
esrj-75821	124	6	where	where	SCONJ
esrj-75821	124	7	β	β	PROPN
esrj-75821	124	8	is	be	AUX
esrj-75821	124	9	the	the	DET
esrj-75821	124	10	local	local	ADJ
esrj-75821	124	11	slope	slope	NOUN
esrj-75821	124	12	(	(	PUNCT
esrj-75821	124	13	radians	radian	NOUN
esrj-75821	124	14	)	)	PUNCT
esrj-75821	124	15	and	and	CCONJ
esrj-75821	124	16	as	as	SCONJ
esrj-75821	124	17	is	be	AUX
esrj-75821	124	18	the	the	DET
esrj-75821	124	19	contributing	contribute	VERB
esrj-75821	124	20	area	area	NOUN
esrj-75821	124	21	of	of	ADP
esrj-75821	124	22	upstream	upstream	NOUN
esrj-75821	124	23	(	(	PUNCT
esrj-75821	124	24	m2	m2	PROPN
esrj-75821	124	25	)	)	PUNCT
esrj-75821	124	26	.	.	PUNCT
esrj-75821	125	1	figure	figure	NOUN
esrj-75821	125	2	2	2	NUM
esrj-75821	125	3	.	.	PUNCT
esrj-75821	126	1	the	the	DET
esrj-75821	126	2	multi	multi	ADJ
esrj-75821	126	3	-	-	ADJ
esrj-75821	126	4	layer	layer	ADJ
esrj-75821	126	5	perceptron	perceptron	NOUN
esrj-75821	126	6	(	(	PUNCT
esrj-75821	126	7	mlp	mlp	NOUN
esrj-75821	126	8	)	)	PUNCT
esrj-75821	126	9	structure	structure	NOUN
esrj-75821	126	10	figure	figure	NOUN
esrj-75821	126	11	1	1	NUM
esrj-75821	126	12	.	.	PUNCT
esrj-75821	126	13	location	location	NOUN
esrj-75821	126	14	of	of	ADP
esrj-75821	126	15	study	study	NOUN
esrj-75821	126	16	area	area	NOUN
esrj-75821	126	17	in	in	ADP
esrj-75821	126	18	iran	iran	PROPN
esrj-75821	126	19	map	map	NOUN
esrj-75821	126	20	(	(	PUNCT
esrj-75821	126	21	a	a	DET
esrj-75821	126	22	)	)	PUNCT
esrj-75821	126	23	land	land	NOUN
esrj-75821	126	24	uses	use	NOUN
esrj-75821	126	25	in	in	ADP
esrj-75821	126	26	the	the	DET
esrj-75821	126	27	sharifabad	sharifabad	PROPN
esrj-75821	126	28	watershed	watershed	PROPN
esrj-75821	126	29	,	,	PUNCT
esrj-75821	126	30	iran	iran	PROPN
esrj-75821	126	31	(	(	PUNCT
esrj-75821	126	32	b	b	NOUN
esrj-75821	126	33	)	)	PUNCT
esrj-75821	126	34	,	,	PUNCT
esrj-75821	126	35	agriculture	agriculture	NOUN
esrj-75821	126	36	lands(c	lands(c	NOUN
esrj-75821	126	37	and	and	CCONJ
esrj-75821	126	38	d	d	NOUN
esrj-75821	126	39	)	)	PUNCT
esrj-75821	126	40	,	,	PUNCT
esrj-75821	126	41	bare	bare	ADJ
esrj-75821	126	42	land	land	NOUN
esrj-75821	126	43	(	(	PUNCT
esrj-75821	126	44	e	e	NOUN
esrj-75821	126	45	)	)	PUNCT
esrj-75821	126	46	,	,	PUNCT
esrj-75821	126	47	rangland	rangland	NOUN
esrj-75821	126	48	(	(	PUNCT
esrj-75821	126	49	f	f	X
esrj-75821	126	50	)	)	PUNCT
esrj-75821	126	51	356	356	NUM
esrj-75821	126	52	vahid	vahid	PROPN
esrj-75821	126	53	habibi	habibi	PROPN
esrj-75821	126	54	,	,	PUNCT
esrj-75821	126	55	hassan	hassan	PROPN
esrj-75821	126	56	ahmadi	ahmadi	PROPN
esrj-75821	126	57	,	,	PUNCT
esrj-75821	126	58	mohammad	mohammad	PROPN
esrj-75821	126	59	jaffari	jaffari	PROPN
esrj-75821	126	60	,	,	PUNCT
esrj-75821	126	61	abolfazl	abolfazl	VERB
esrj-75821	126	62	moein	moein	PROPN
esrj-75821	126	63	2.4	2.4	NUM
esrj-75821	126	64	.	.	PUNCT
esrj-75821	127	1	adaptive	adaptive	ADJ
esrj-75821	127	2	neuro	neuro	NOUN
esrj-75821	127	3	-	-	PUNCT
esrj-75821	127	4	fuzzy	fuzzy	ADJ
esrj-75821	127	5	inference	inference	NOUN
esrj-75821	127	6	system	system	NOUN
esrj-75821	127	7	(	(	PUNCT
esrj-75821	127	8	anfis	anfi	VERB
esrj-75821	127	9	)	)	PUNCT
esrj-75821	127	10	adaptive	adaptive	ADJ
esrj-75821	127	11	neuro	neuro	NOUN
esrj-75821	127	12	-	-	PUNCT
esrj-75821	127	13	fuzzy	fuzzy	ADJ
esrj-75821	127	14	inference	inference	NOUN
esrj-75821	127	15	system	system	NOUN
esrj-75821	127	16	(	(	PUNCT
esrj-75821	127	17	anfis	anfis	ADJ
esrj-75821	127	18	)	)	PUNCT
esrj-75821	127	19	approach	approach	NOUN
esrj-75821	127	20	applied	apply	VERB
esrj-75821	127	21	two	two	NUM
esrj-75821	127	22	networks	network	NOUN
esrj-75821	127	23	learning	learn	VERB
esrj-75821	127	24	algorithms	algorithm	NOUN
esrj-75821	127	25	–	–	PUNCT
esrj-75821	127	26	neural	neural	ADJ
esrj-75821	127	27	and	and	CCONJ
esrj-75821	127	28	fuzzy	fuzzy	ADJ
esrj-75821	127	29	logic	logic	NOUN
esrj-75821	127	30	,	,	PUNCT
esrj-75821	127	31	for	for	ADP
esrj-75821	127	32	scheming	scheme	VERB
esrj-75821	127	33	nonlinear	nonlinear	ADJ
esrj-75821	127	34	relations	relation	NOUN
esrj-75821	127	35	between	between	ADP
esrj-75821	127	36	dependent	dependent	ADJ
esrj-75821	127	37	and	and	CCONJ
esrj-75821	127	38	independent	independent	ADJ
esrj-75821	127	39	variables	variable	NOUN
esrj-75821	127	40	.	.	PUNCT
esrj-75821	128	1	it	it	PRON
esrj-75821	128	2	enables	enable	VERB
esrj-75821	128	3	fuzzy	fuzzy	ADJ
esrj-75821	128	4	laws	law	NOUN
esrj-75821	128	5	to	to	PART
esrj-75821	128	6	be	be	AUX
esrj-75821	128	7	determined	determine	VERB
esrj-75821	128	8	and	and	CCONJ
esrj-75821	128	9	prepare	prepare	VERB
esrj-75821	128	10	data	datum	NOUN
esrj-75821	128	11	for	for	ADP
esrj-75821	128	12	the	the	DET
esrj-75821	128	13	expert	expert	NOUN
esrj-75821	128	14	.	.	PUNCT
esrj-75821	129	1	furthermore	furthermore	ADV
esrj-75821	129	2	,	,	PUNCT
esrj-75821	129	3	it	it	PRON
esrj-75821	129	4	could	could	AUX
esrj-75821	129	5	transform	transform	VERB
esrj-75821	129	6	the	the	DET
esrj-75821	129	7	intricacy	intricacy	NOUN
esrj-75821	129	8	of	of	ADP
esrj-75821	129	9	human	human	ADJ
esrj-75821	129	10	sagacity	sagacity	NOUN
esrj-75821	129	11	into	into	ADP
esrj-75821	129	12	fuzzy	fuzzy	ADJ
esrj-75821	129	13	systems	system	NOUN
esrj-75821	129	14	category	category	NOUN
esrj-75821	129	15	(	(	PUNCT
esrj-75821	129	16	alipour	alipour	PROPN
esrj-75821	129	17	et	et	PROPN
esrj-75821	129	18	al	al	PROPN
esrj-75821	129	19	.	.	PROPN
esrj-75821	129	20	,	,	PUNCT
esrj-75821	129	21	2014	2014	NUM
esrj-75821	129	22	)	)	PUNCT
esrj-75821	129	23	.	.	PUNCT
esrj-75821	130	1	there	there	PRON
esrj-75821	130	2	are	be	VERB
esrj-75821	130	3	various	various	ADJ
esrj-75821	130	4	joined	joined	ADJ
esrj-75821	130	5	nodes	node	NOUN
esrj-75821	130	6	in	in	ADP
esrj-75821	130	7	the	the	DET
esrj-75821	130	8	structure	structure	NOUN
esrj-75821	130	9	of	of	ADP
esrj-75821	130	10	an	an	DET
esrj-75821	130	11	anfis	anfis	ADJ
esrj-75821	130	12	model	model	NOUN
esrj-75821	130	13	.	.	PUNCT
esrj-75821	131	1	the	the	DET
esrj-75821	131	2	output	output	NOUN
esrj-75821	131	3	of	of	ADP
esrj-75821	131	4	some	some	DET
esrj-75821	131	5	nodes	node	NOUN
esrj-75821	131	6	is	be	AUX
esrj-75821	131	7	reined	rein	VERB
esrj-75821	131	8	by	by	ADP
esrj-75821	131	9	accommodating	accommodate	VERB
esrj-75821	131	10	variable	variable	ADJ
esrj-75821	131	11	joint	joint	VERB
esrj-75821	131	12	the	the	DET
esrj-75821	131	13	node	node	NOUN
esrj-75821	131	14	,	,	PUNCT
esrj-75821	131	15	so	so	SCONJ
esrj-75821	131	16	the	the	DET
esrj-75821	131	17	output	output	NOUN
esrj-75821	131	18	data	datum	NOUN
esrj-75821	131	19	would	would	AUX
esrj-75821	131	20	predict	predict	VERB
esrj-75821	131	21	a	a	DET
esrj-75821	131	22	predefined	predefine	VERB
esrj-75821	131	23	error	error	NOUN
esrj-75821	131	24	value	value	NOUN
esrj-75821	131	25	.	.	PUNCT
esrj-75821	132	1	this	this	PRON
esrj-75821	132	2	showed	show	VERB
esrj-75821	132	3	that	that	SCONJ
esrj-75821	132	4	some	some	DET
esrj-75821	132	5	nodes	node	NOUN
esrj-75821	132	6	are	be	AUX
esrj-75821	132	7	examined	examine	VERB
esrj-75821	132	8	to	to	PART
esrj-75821	132	9	have	have	VERB
esrj-75821	132	10	an	an	DET
esrj-75821	132	11	adaptive	adaptive	ADJ
esrj-75821	132	12	part	part	NOUN
esrj-75821	132	13	in	in	ADP
esrj-75821	132	14	the	the	DET
esrj-75821	132	15	structure	structure	NOUN
esrj-75821	132	16	of	of	ADP
esrj-75821	132	17	the	the	DET
esrj-75821	132	18	method	method	NOUN
esrj-75821	132	19	(	(	PUNCT
esrj-75821	132	20	baghban	baghban	VERB
esrj-75821	132	21	et	et	PROPN
esrj-75821	132	22	al	al	PROPN
esrj-75821	132	23	.	.	PROPN
esrj-75821	132	24	2017	2017	NUM
esrj-75821	132	25	)	)	PUNCT
esrj-75821	132	26	.	.	PUNCT
esrj-75821	133	1	the	the	DET
esrj-75821	133	2	frame	frame	NOUN
esrj-75821	133	3	of	of	ADP
esrj-75821	133	4	anfis	anfis	PROPN
esrj-75821	133	5	involves	involve	VERB
esrj-75821	133	6	five	five	NUM
esrj-75821	133	7	layers	layer	NOUN
esrj-75821	133	8	(	(	PUNCT
esrj-75821	133	9	fig	fig	NOUN
esrj-75821	133	10	.	.	PUNCT
esrj-75821	134	1	3	3	NUM
esrj-75821	134	2	)	)	PUNCT
esrj-75821	134	3	,	,	PUNCT
esrj-75821	134	4	and	and	CCONJ
esrj-75821	134	5	the	the	DET
esrj-75821	134	6	functions	function	NOUN
esrj-75821	134	7	correlate	correlate	VERB
esrj-75821	134	8	with	with	ADP
esrj-75821	134	9	nodes	node	NOUN
esrj-75821	134	10	of	of	ADP
esrj-75821	134	11	the	the	DET
esrj-75821	134	12	matching	matching	NOUN
esrj-75821	134	13	layer	layer	NOUN
esrj-75821	134	14	is	be	AUX
esrj-75821	134	15	similar	similar	ADJ
esrj-75821	134	16	.	.	PUNCT
esrj-75821	135	1	each	each	DET
esrj-75821	135	2	input	input	NOUN
esrj-75821	135	3	has	have	VERB
esrj-75821	135	4	two	two	NUM
esrj-75821	135	5	rules	rule	NOUN
esrj-75821	135	6	(	(	PUNCT
esrj-75821	135	7	a1	a1	NOUN
esrj-75821	135	8	and	and	CCONJ
esrj-75821	135	9	a2	a2	PROPN
esrj-75821	135	10	,	,	PUNCT
esrj-75821	135	11	b1	b1	NOUN
esrj-75821	135	12	and	and	CCONJ
esrj-75821	135	13	b	b	NOUN
esrj-75821	135	14	2	2	NUM
esrj-75821	135	15	)	)	PUNCT
esrj-75821	135	16	in	in	ADP
esrj-75821	135	17	the	the	DET
esrj-75821	135	18	initial	initial	ADJ
esrj-75821	135	19	layer	layer	NOUN
esrj-75821	135	20	(	(	PUNCT
esrj-75821	135	21	input	input	NOUN
esrj-75821	135	22	nodes	node	NOUN
esrj-75821	135	23	)	)	PUNCT
esrj-75821	135	24	,	,	PUNCT
esrj-75821	135	25	which	which	PRON
esrj-75821	135	26	can	can	AUX
esrj-75821	135	27	make	make	VERB
esrj-75821	135	28	two	two	NUM
esrj-75821	135	29	rules	rule	NOUN
esrj-75821	135	30	in	in	ADP
esrj-75821	135	31	another	another	DET
esrj-75821	135	32	layer	layer	NOUN
esrj-75821	135	33	(	(	PUNCT
esrj-75821	135	34	rule	rule	NOUN
esrj-75821	135	35	nodes	node	NOUN
esrj-75821	135	36	)	)	PUNCT
esrj-75821	135	37	.	.	PUNCT
esrj-75821	136	1	a	a	DET
esrj-75821	136	2	brief	brief	ADJ
esrj-75821	136	3	diagram	diagram	NOUN
esrj-75821	136	4	of	of	ADP
esrj-75821	136	5	the	the	DET
esrj-75821	136	6	operations	operation	NOUN
esrj-75821	136	7	of	of	ADP
esrj-75821	136	8	the	the	DET
esrj-75821	136	9	five	five	NUM
esrj-75821	136	10	layers	layer	NOUN
esrj-75821	136	11	is	be	AUX
esrj-75821	136	12	given	give	VERB
esrj-75821	136	13	as	as	SCONJ
esrj-75821	136	14	follows	follow	VERB
esrj-75821	136	15	(	(	PUNCT
esrj-75821	136	16	jang	jang	PROPN
esrj-75821	136	17	,	,	PUNCT
esrj-75821	136	18	1993	1993	NUM
esrj-75821	136	19	):	):	PUNCT
esrj-75821	136	20	layers	layer	NOUN
esrj-75821	136	21	1	1	NUM
esrj-75821	136	22	through	through	ADP
esrj-75821	136	23	5	5	NUM
esrj-75821	136	24	composed	compose	VERB
esrj-75821	136	25	of	of	ADP
esrj-75821	136	26	input	input	NOUN
esrj-75821	136	27	nodes	node	NOUN
esrj-75821	136	28	,	,	PUNCT
esrj-75821	136	29	rule	rule	NOUN
esrj-75821	136	30	nodes	node	NOUN
esrj-75821	136	31	,	,	PUNCT
esrj-75821	136	32	average	average	ADJ
esrj-75821	136	33	nodes	node	NOUN
esrj-75821	136	34	,	,	PUNCT
esrj-75821	136	35	resulting	result	VERB
esrj-75821	136	36	nodes	node	NOUN
esrj-75821	136	37	and	and	CCONJ
esrj-75821	136	38	output	output	NOUN
esrj-75821	136	39	nodes	node	NOUN
esrj-75821	136	40	.	.	PUNCT
esrj-75821	137	1	the	the	DET
esrj-75821	137	2	rules	rule	NOUN
esrj-75821	137	3	of	of	ADP
esrj-75821	137	4	every	every	DET
esrj-75821	137	5	single	single	ADJ
esrj-75821	137	6	layer	layer	NOUN
esrj-75821	137	7	are	be	AUX
esrj-75821	137	8	introduced	introduce	VERB
esrj-75821	137	9	in	in	ADP
esrj-75821	137	10	equations	equation	NOUN
esrj-75821	137	11	two	two	NUM
esrj-75821	137	12	to	to	PART
esrj-75821	137	13	seven	seven	NUM
esrj-75821	137	14	,	,	PUNCT
esrj-75821	137	15	respectively	respectively	ADV
esrj-75821	137	16	equations	equation	NOUN
esrj-75821	137	17	2	2	NUM
esrj-75821	137	18	to	to	PART
esrj-75821	137	19	7	7	NUM
esrj-75821	137	20	.	.	PUNCT
esrj-75821	138	1	oii	oii	PROPN
esrj-75821	138	2	=	=	PUNCT
esrj-75821	138	3	µai(x	µai(x	PROPN
esrj-75821	138	4	)	)	PUNCT
esrj-75821	138	5	for	for	ADP
esrj-75821	138	6	i=1	i=1	PRON
esrj-75821	138	7	,	,	PUNCT
esrj-75821	138	8	2	2	NUM
esrj-75821	138	9	(	(	PUNCT
esrj-75821	138	10	2	2	NUM
esrj-75821	138	11	)	)	PUNCT
esrj-75821	138	12	µai	µai	ADV
esrj-75821	138	13	x	x	SYM
esrj-75821	138	14	(	(	PUNCT
esrj-75821	138	15	)	)	PUNCT
esrj-75821	138	16	=	=	SYM
esrj-75821	138	17	1	1	NUM
esrj-75821	138	18	1	1	NUM
esrj-75821	138	19	+	+	NUM
esrj-75821	138	20	x	x	NOUN
esrj-75821	138	21	-	-	NOUN
esrj-75821	138	22	ci	ci	ADJ
esrj-75821	138	23	ai	ai	PROPN
esrj-75821	138	24	�	�	PROPN
esrj-75821	138	25	�	�	PROPN
esrj-75821	138	26	�	�	PROPN
esrj-75821	138	27	�	�	PROPN
esrj-75821	138	28	�	�	PROPN
esrj-75821	138	29	�	�	PROPN
esrj-75821	138	30	�	�	PROPN
esrj-75821	138	31	�	�	PROPN
esrj-75821	138	32	2	2	NUM
esrj-75821	138	33	�	�	PROPN
esrj-75821	138	34	�	�	PROPN
esrj-75821	138	35	�	�	PROPN
esrj-75821	138	36	�	�	PROPN
esrj-75821	138	37	�	�	PROPN
esrj-75821	138	38	�	�	PROPN
esrj-75821	138	39	�	�	PROPN
esrj-75821	138	40	�	�	PROPN
esrj-75821	138	41	�	�	PROPN
esrj-75821	138	42	�	�	PROPN
esrj-75821	138	43	bi	bi	ADJ
esrj-75821	138	44	µa	µa	NOUN
esrj-75821	138	45	x	x	SYM
esrj-75821	138	46	1	1	NUM
esrj-75821	138	47	1	1	NUM
esrj-75821	138	48	x	x	SYM
esrj-75821	138	49	c	c	NOUN
esrj-75821	138	50	a	a	PRON
esrj-75821	139	1	i	i	PRON
esrj-75821	139	2	i	i	PRON
esrj-75821	139	3	i	i	VERB
esrj-75821	139	4	2	2	NUM
esrj-75821	139	5	bi	bi	NOUN
esrj-75821	139	6	(	(	PUNCT
esrj-75821	139	7	)	)	PUNCT
esrj-75821	139	8	=	=	SYM
esrj-75821	140	1	+	+	CCONJ
esrj-75821	140	2	−	−	VERB
esrj-75821	140	3			NOUN
esrj-75821	140	4			NOUN
esrj-75821	140	5			NOUN
esrj-75821	140	6			PROPN
esrj-75821	140	7			PUNCT
esrj-75821	141	1			NOUN
esrj-75821	141	2			VERB
esrj-75821	141	3			VERB
esrj-75821	141	4			NOUN
esrj-75821	141	5			ADJ
esrj-75821	141	6			ADJ
esrj-75821	141	7			ADJ
esrj-75821	141	8			PROPN
esrj-75821	141	9			PROPN
esrj-75821	141	10			PROPN
esrj-75821	141	11			PROPN
esrj-75821	141	12			PROPN
esrj-75821	141	13	for	for	ADP
esrj-75821	141	14	i=1	i=1	PRON
esrj-75821	141	15	,	,	PUNCT
esrj-75821	141	16	2	2	NUM
esrj-75821	141	17	(	(	PUNCT
esrj-75821	141	18	3	3	NUM
esrj-75821	141	19	)	)	PUNCT
esrj-75821	141	20	ωi=µai	ωi=µai	X
esrj-75821	142	1	x	x	X
esrj-75821	142	2	(	(	PUNCT
esrj-75821	142	3	)	)	PUNCT
esrj-75821	142	4	¥	¥	SYM
esrj-75821	142	5	µbi	µbi	ADJ
esrj-75821	142	6	x	x	X
esrj-75821	142	7	(	(	PUNCT
esrj-75821	142	8	)	)	PUNCT
esrj-75821	142	9	for	for	ADP
esrj-75821	142	10	i=1	i=1	PRON
esrj-75821	142	11	,	,	PUNCT
esrj-75821	142	12	2	2	NUM
esrj-75821	142	13	(	(	PUNCT
esrj-75821	142	14	4	4	NUM
esrj-75821	142	15	)	)	PUNCT
esrj-75821	142	16	ω	ω	PROPN
esrj-75821	142	17	ω	ω	PROPN
esrj-75821	142	18	ω	ω	NUM
esrj-75821	142	19	ωi	ωi	PROPN
esrj-75821	142	20	i	i	NOUN
esrj-75821	142	21	1	1	NUM
esrj-75821	142	22	2	2	NUM
esrj-75821	142	23	=	=	SYM
esrj-75821	142	24	+	+	CCONJ
esrj-75821	142	25	for	for	ADP
esrj-75821	142	26	i=1	i=1	NOUN
esrj-75821	142	27	,	,	PUNCT
esrj-75821	142	28	2	2	NUM
esrj-75821	142	29	(	(	PUNCT
esrj-75821	142	30	5	5	NUM
esrj-75821	142	31	)	)	PUNCT
esrj-75821	142	32	ω	ω	NOUN
esrj-75821	142	33	ωo	ωo	ADP
esrj-75821	142	34	f	f	PROPN
esrj-75821	142	35	p	p	NOUN
esrj-75821	142	36	x	x	X
esrj-75821	142	37	q	q	X
esrj-75821	142	38	y	y	PROPN
esrj-75821	142	39	ri	ri	PROPN
esrj-75821	143	1	4	4	NUM
esrj-75821	143	2	i	i	PRON
esrj-75821	144	1	i	i	PRON
esrj-75821	145	1	i	i	PRON
esrj-75821	146	1	i	i	PRON
esrj-75821	147	1	i	i	PRON
esrj-75821	147	2	i	i	PRON
esrj-75821	147	3	(	(	PUNCT
esrj-75821	147	4	)	)	PUNCT
esrj-75821	147	5	=	=	SYM
esrj-75821	148	1	=	=	PUNCT
esrj-75821	149	1	+	+	PUNCT
esrj-75821	149	2	+	+	CCONJ
esrj-75821	149	3	(	(	PUNCT
esrj-75821	149	4	6	6	NUM
esrj-75821	149	5	)	)	PUNCT
esrj-75821	149	6	oi	oi	PROPN
esrj-75821	150	1	5=	5=	NUM
esrj-75821	151	1	i	i	PRON
esrj-75821	151	2	âωifi=	âωifi=	NUM
esrj-75821	152	1	i	i	PRON
esrj-75821	152	2	â	â	X
esrj-75821	152	3	ωi	ωi	PUNCT
esrj-75821	152	4	fi	fi	NOUN
esrj-75821	153	1	i	i	PRON
esrj-75821	153	2	â	â	X
esrj-75821	153	3	ωi	ωi	X
esrj-75821	153	4	(	(	PUNCT
esrj-75821	153	5	7	7	NUM
esrj-75821	153	6	)	)	PUNCT
esrj-75821	153	7	formula	formula	NOUN
esrj-75821	153	8	:	:	PUNCT
esrj-75821	153	9	where	where	SCONJ
esrj-75821	153	10	x	x	PRON
esrj-75821	153	11	is	be	AUX
esrj-75821	153	12	the	the	DET
esrj-75821	153	13	input	input	NOUN
esrj-75821	153	14	to	to	ADP
esrj-75821	153	15	the	the	DET
esrj-75821	153	16	node	node	PROPN
esrj-75821	153	17	i	i	PROPN
esrj-75821	153	18	,	,	PUNCT
esrj-75821	153	19	and	and	CCONJ
esrj-75821	153	20	ai	ai	VERB
esrj-75821	153	21	is	be	AUX
esrj-75821	153	22	nominal	nominal	ADJ
esrj-75821	153	23	labels	label	NOUN
esrj-75821	153	24	ruled	rule	VERB
esrj-75821	153	25	by	by	ADP
esrj-75821	153	26	fit	fit	ADJ
esrj-75821	153	27	membership	membership	NOUN
esrj-75821	153	28	function	function	NOUN
esrj-75821	153	29	µai	µai	ADV
esrj-75821	153	30	;	;	PUNCT
esrj-75821	153	31	{	{	PUNCT
esrj-75821	153	32	ai	ai	VERB
esrj-75821	153	33	,	,	PUNCT
esrj-75821	153	34	bi	bi	NOUN
esrj-75821	153	35	,	,	PUNCT
esrj-75821	153	36	ci	ci	NOUN
esrj-75821	153	37	}	}	PUNCT
esrj-75821	153	38	is	be	AUX
esrj-75821	153	39	the	the	DET
esrj-75821	153	40	variable	variable	ADJ
esrj-75821	153	41	collection	collection	NOUN
esrj-75821	153	42	.	.	PUNCT
esrj-75821	154	1	here	here	ADV
esrj-75821	154	2	{	{	PUNCT
esrj-75821	154	3	pi	pi	PROPN
esrj-75821	154	4	,	,	PUNCT
esrj-75821	154	5	qi	qi	PROPN
esrj-75821	154	6	,	,	PUNCT
esrj-75821	154	7	ri	ri	PROPN
esrj-75821	154	8	}	}	PUNCT
esrj-75821	154	9	is	be	AUX
esrj-75821	154	10	the	the	DET
esrj-75821	154	11	variable	variable	NOUN
esrj-75821	154	12	lay	lie	VERB
esrj-75821	154	13	in	in	ADP
esrj-75821	154	14	the	the	DET
esrj-75821	154	15	consequent	consequent	ADJ
esrj-75821	154	16	sector	sector	NOUN
esrj-75821	154	17	of	of	ADP
esrj-75821	154	18	the	the	DET
esrj-75821	154	19	first	first	ADJ
esrj-75821	154	20	-	-	PUNCT
esrj-75821	154	21	order	order	NOUN
esrj-75821	154	22	sugeno	sugeno	NOUN
esrj-75821	154	23	fuzzy	fuzzy	ADJ
esrj-75821	154	24	model	model	NOUN
esrj-75821	154	25	.	.	PUNCT
esrj-75821	155	1	figure	figure	VERB
esrj-75821	155	2	3	3	NUM
esrj-75821	155	3	.	.	PUNCT
esrj-75821	155	4	basic	basic	ADJ
esrj-75821	155	5	structures	structure	NOUN
esrj-75821	155	6	of	of	ADP
esrj-75821	155	7	anfis	anfis	PROPN
esrj-75821	155	8	.	.	PUNCT
esrj-75821	156	1	in	in	ADP
esrj-75821	156	2	this	this	DET
esrj-75821	156	3	study	study	NOUN
esrj-75821	156	4	,	,	PUNCT
esrj-75821	156	5	takagi	takagi	NOUN
esrj-75821	156	6	-	-	PUNCT
esrj-75821	156	7	sugeno	sugeno	NOUN
esrj-75821	156	8	-	-	PUNCT
esrj-75821	156	9	kang	kang	PROPN
esrj-75821	156	10	type	type	NOUN
esrj-75821	156	11	fuzzy	fuzzy	ADJ
esrj-75821	156	12	(	(	PUNCT
esrj-75821	156	13	tsk	tsk	NOUN
esrj-75821	156	14	)	)	PUNCT
esrj-75821	156	15	and	and	CCONJ
esrj-75821	156	16	tsukamoto	tsukamoto	NOUN
esrj-75821	156	17	(	(	PUNCT
esrj-75821	156	18	ts	ts	NOUN
esrj-75821	156	19	)	)	PUNCT
esrj-75821	156	20	fuzzy	fuzzy	ADJ
esrj-75821	156	21	models	model	NOUN
esrj-75821	156	22	were	be	AUX
esrj-75821	156	23	tested	test	VERB
esrj-75821	156	24	and	and	CCONJ
esrj-75821	156	25	momentum	momentum	NOUN
esrj-75821	156	26	,	,	PUNCT
esrj-75821	156	27	levenberg	levenberg	PROPN
esrj-75821	156	28	–	–	PUNCT
esrj-75821	156	29	marquardt	marquardt	PROPN
esrj-75821	156	30	and	and	CCONJ
esrj-75821	156	31	conjugate	conjugate	ADJ
esrj-75821	156	32	gradient	gradient	NOUN
esrj-75821	156	33	learning	learning	NOUN
esrj-75821	156	34	rules	rule	NOUN
esrj-75821	156	35	used	use	VERB
esrj-75821	156	36	.	.	PUNCT
esrj-75821	157	1	for	for	ADP
esrj-75821	157	2	any	any	PRON
esrj-75821	157	3	of	of	ADP
esrj-75821	157	4	the	the	DET
esrj-75821	157	5	algorithms	algorithm	NOUN
esrj-75821	157	6	,	,	PUNCT
esrj-75821	157	7	the	the	DET
esrj-75821	157	8	sigmoid	sigmoid	NOUN
esrj-75821	157	9	axon	axon	NOUN
esrj-75821	157	10	and	and	CCONJ
esrj-75821	157	11	tanh	tanh	PROPN
esrj-75821	157	12	axon	axon	NOUN
esrj-75821	157	13	transfer	transfer	NOUN
esrj-75821	157	14	model	model	NOUN
esrj-75821	157	15	were	be	AUX
esrj-75821	157	16	used	use	VERB
esrj-75821	157	17	.	.	PUNCT
esrj-75821	158	1	2.5	2.5	NUM
esrj-75821	158	2	.	.	PUNCT
esrj-75821	159	1	land	land	NOUN
esrj-75821	159	2	degradation	degradation	NOUN
esrj-75821	159	3	assessment	assessment	NOUN
esrj-75821	159	4	model	model	NOUN
esrj-75821	159	5	land	land	NOUN
esrj-75821	159	6	degradation	degradation	NOUN
esrj-75821	159	7	research	research	NOUN
esrj-75821	159	8	has	have	AUX
esrj-75821	159	9	been	be	AUX
esrj-75821	159	10	done	do	VERB
esrj-75821	159	11	in	in	ADP
esrj-75821	159	12	93	93	NUM
esrj-75821	159	13	countries	country	NOUN
esrj-75821	159	14	.	.	PUNCT
esrj-75821	160	1	the	the	DET
esrj-75821	160	2	number	number	NOUN
esrj-75821	160	3	of	of	ADP
esrj-75821	160	4	publications	publication	NOUN
esrj-75821	160	5	in	in	ADP
esrj-75821	160	6	different	different	ADJ
esrj-75821	160	7	countries	country	NOUN
esrj-75821	160	8	show	show	VERB
esrj-75821	160	9	their	their	PRON
esrj-75821	160	10	contribution	contribution	NOUN
esrj-75821	160	11	and	and	CCONJ
esrj-75821	160	12	impact	impact	NOUN
esrj-75821	160	13	in	in	ADP
esrj-75821	160	14	land	land	NOUN
esrj-75821	160	15	degradation	degradation	NOUN
esrj-75821	160	16	research	research	NOUN
esrj-75821	160	17	.	.	PUNCT
esrj-75821	161	1	researchers	researcher	NOUN
esrj-75821	161	2	from	from	ADP
esrj-75821	161	3	93	93	NUM
esrj-75821	161	4	countries	country	NOUN
esrj-75821	161	5	participated	participate	VERB
esrj-75821	161	6	in	in	ADP
esrj-75821	161	7	the	the	DET
esrj-75821	161	8	land	land	NOUN
esrj-75821	161	9	degradation	degradation	NOUN
esrj-75821	161	10	research	research	NOUN
esrj-75821	161	11	between	between	ADP
esrj-75821	161	12	1990	1990	NUM
esrj-75821	161	13	2019	2019	NUM
esrj-75821	161	14	.	.	PUNCT
esrj-75821	162	1	in	in	ADP
esrj-75821	162	2	regard	regard	NOUN
esrj-75821	162	3	to	to	ADP
esrj-75821	162	4	total	total	ADJ
esrj-75821	162	5	publication	publication	NOUN
esrj-75821	162	6	,	,	PUNCT
esrj-75821	162	7	iran	iran	PROPN
esrj-75821	162	8	was	be	AUX
esrj-75821	162	9	the	the	DET
esrj-75821	162	10	21st	21st	ADJ
esrj-75821	162	11	nation	nation	NOUN
esrj-75821	162	12	(	(	PUNCT
esrj-75821	162	13	xie	xie	PROPN
esrj-75821	162	14	,	,	PUNCT
esrj-75821	162	15	2020	2020	NUM
esrj-75821	162	16	)	)	PUNCT
esrj-75821	162	17	.	.	PUNCT
esrj-75821	163	1	land	land	NOUN
esrj-75821	163	2	degradation	degradation	NOUN
esrj-75821	163	3	in	in	ADP
esrj-75821	163	4	arid	arid	ADJ
esrj-75821	163	5	regions	region	NOUN
esrj-75821	163	6	of	of	ADP
esrj-75821	163	7	the	the	DET
esrj-75821	163	8	world	world	NOUN
esrj-75821	163	9	is	be	AUX
esrj-75821	163	10	a	a	DET
esrj-75821	163	11	complicated	complicated	ADJ
esrj-75821	163	12	environmental	environmental	ADJ
esrj-75821	163	13	puzzle	puzzle	NOUN
esrj-75821	163	14	(	(	PUNCT
esrj-75821	163	15	thomas	thomas	PROPN
esrj-75821	163	16	,	,	PUNCT
esrj-75821	163	17	1997	1997	NUM
esrj-75821	163	18	;	;	PUNCT
esrj-75821	163	19	okin	okin	PROPN
esrj-75821	163	20	et	et	PROPN
esrj-75821	163	21	al	al	PROPN
esrj-75821	163	22	.	.	PROPN
esrj-75821	163	23	,	,	PUNCT
esrj-75821	163	24	2009	2009	NUM
esrj-75821	163	25	;	;	PUNCT
esrj-75821	163	26	rasmy	rasmy	NOUN
esrj-75821	163	27	,	,	PUNCT
esrj-75821	163	28	2010	2010	NUM
esrj-75821	163	29	)	)	PUNCT
esrj-75821	163	30	.	.	PUNCT
esrj-75821	164	1	it	it	PRON
esrj-75821	164	2	is	be	AUX
esrj-75821	164	3	accepted	accept	VERB
esrj-75821	164	4	as	as	ADP
esrj-75821	164	5	one	one	NUM
esrj-75821	164	6	of	of	ADP
esrj-75821	164	7	the	the	DET
esrj-75821	164	8	greatest	great	ADJ
esrj-75821	164	9	environmental	environmental	ADJ
esrj-75821	164	10	risks	risk	NOUN
esrj-75821	164	11	in	in	ADP
esrj-75821	164	12	iran	iran	PROPN
esrj-75821	164	13	because	because	SCONJ
esrj-75821	164	14	of	of	ADP
esrj-75821	164	15	its	its	PRON
esrj-75821	164	16	natural	natural	ADJ
esrj-75821	164	17	conditions	condition	NOUN
esrj-75821	164	18	and	and	CCONJ
esrj-75821	164	19	human	human	ADJ
esrj-75821	164	20	activities	activity	NOUN
esrj-75821	164	21	(	(	PUNCT
esrj-75821	164	22	tahmoures	tahmoure	NOUN
esrj-75821	164	23	et	et	PROPN
esrj-75821	164	24	al	al	PROPN
esrj-75821	164	25	.	.	PROPN
esrj-75821	164	26	,	,	PUNCT
esrj-75821	164	27	2013	2013	NUM
esrj-75821	164	28	)	)	PUNCT
esrj-75821	164	29	.	.	PUNCT
esrj-75821	165	1	as	as	SCONJ
esrj-75821	165	2	previously	previously	ADV
esrj-75821	165	3	mentioned	mention	VERB
esrj-75821	165	4	,	,	PUNCT
esrj-75821	165	5	several	several	ADJ
esrj-75821	165	6	models	model	NOUN
esrj-75821	165	7	have	have	AUX
esrj-75821	165	8	been	be	AUX
esrj-75821	165	9	developed	develop	VERB
esrj-75821	165	10	for	for	ADP
esrj-75821	165	11	the	the	DET
esrj-75821	165	12	judgment	judgment	NOUN
esrj-75821	165	13	of	of	ADP
esrj-75821	165	14	soil	soil	NOUN
esrj-75821	165	15	and	and	CCONJ
esrj-75821	165	16	water	water	NOUN
esrj-75821	165	17	resource	resource	NOUN
esrj-75821	165	18	degradation	degradation	NOUN
esrj-75821	165	19	in	in	ADP
esrj-75821	165	20	world	world	NOUN
esrj-75821	165	21	scientific	scientific	ADJ
esrj-75821	165	22	communities	community	NOUN
esrj-75821	165	23	.	.	PUNCT
esrj-75821	166	1	to	to	PART
esrj-75821	166	2	assess	assess	VERB
esrj-75821	166	3	the	the	DET
esrj-75821	166	4	potential	potential	NOUN
esrj-75821	166	5	of	of	ADP
esrj-75821	166	6	land	land	NOUN
esrj-75821	166	7	degradation	degradation	NOUN
esrj-75821	166	8	,	,	PUNCT
esrj-75821	166	9	ahmadi	ahmadi	PROPN
esrj-75821	166	10	(	(	PUNCT
esrj-75821	166	11	2008	2008	NUM
esrj-75821	166	12	)	)	PUNCT
esrj-75821	166	13	presented	present	VERB
esrj-75821	166	14	the	the	DET
esrj-75821	166	15	iranian	iranian	ADJ
esrj-75821	166	16	model	model	NOUN
esrj-75821	166	17	of	of	ADP
esrj-75821	166	18	desertification	desertification	NOUN
esrj-75821	166	19	potential	potential	ADJ
esrj-75821	166	20	assessment	assessment	NOUN
esrj-75821	166	21	(	(	PUNCT
esrj-75821	166	22	imdpa	imdpa	ADJ
esrj-75821	166	23	)	)	PUNCT
esrj-75821	166	24	.	.	PUNCT
esrj-75821	167	1	this	this	DET
esrj-75821	167	2	model	model	NOUN
esrj-75821	167	3	involves	involve	VERB
esrj-75821	167	4	nine	nine	NUM
esrj-75821	167	5	classes	class	NOUN
esrj-75821	167	6	of	of	ADP
esrj-75821	167	7	criteria	criterion	NOUN
esrj-75821	167	8	that	that	SCONJ
esrj-75821	167	9	causing	cause	VERB
esrj-75821	167	10	effective	effective	ADJ
esrj-75821	167	11	of	of	ADP
esrj-75821	167	12	land	land	NOUN
esrj-75821	167	13	degradation	degradation	NOUN
esrj-75821	167	14	.	.	PUNCT
esrj-75821	168	1	groundwater	groundwater	NOUN
esrj-75821	168	2	depletion	depletion	NOUN
esrj-75821	168	3	(	(	PUNCT
esrj-75821	168	4	cm	cm	NOUN
esrj-75821	168	5	/	/	SYM
esrj-75821	168	6	year	year	NOUN
esrj-75821	168	7	)	)	PUNCT
esrj-75821	168	8	in	in	ADP
esrj-75821	168	9	watershed	watershed	ADJ
esrj-75821	168	10	aquifer	aquifer	NOUN
esrj-75821	168	11	resources	resource	NOUN
esrj-75821	168	12	is	be	AUX
esrj-75821	168	13	one	one	NUM
esrj-75821	168	14	of	of	ADP
esrj-75821	168	15	the	the	DET
esrj-75821	168	16	factors	factor	NOUN
esrj-75821	168	17	,	,	PUNCT
esrj-75821	168	18	which	which	PRON
esrj-75821	168	19	used	use	VERB
esrj-75821	168	20	to	to	PART
esrj-75821	168	21	estimate	estimate	VERB
esrj-75821	168	22	degradation	degradation	NOUN
esrj-75821	168	23	risk	risk	NOUN
esrj-75821	168	24	of	of	ADP
esrj-75821	168	25	water	water	NOUN
esrj-75821	168	26	resources	resource	NOUN
esrj-75821	168	27	.	.	PUNCT
esrj-75821	169	1	table1	table1	PROPN
esrj-75821	169	2	shows	show	VERB
esrj-75821	169	3	the	the	DET
esrj-75821	169	4	land	land	NOUN
esrj-75821	169	5	degradation	degradation	NOUN
esrj-75821	169	6	potential	potential	NOUN
esrj-75821	169	7	of	of	ADP
esrj-75821	169	8	groundwater	groundwater	NOUN
esrj-75821	169	9	index	index	NOUN
esrj-75821	169	10	.	.	PUNCT
esrj-75821	170	1	table	table	NOUN
esrj-75821	170	2	1	1	NUM
esrj-75821	170	3	.	.	PUNCT
esrj-75821	170	4	desertification	desertification	NOUN
esrj-75821	170	5	index	index	NOUN
esrj-75821	170	6	of	of	ADP
esrj-75821	170	7	groundwater	groundwater	NOUN
esrj-75821	170	8	criteria	criterion	NOUN
esrj-75821	170	9	index	index	NOUN
esrj-75821	170	10	land	land	NOUN
esrj-75821	170	11	degradation	degradation	NOUN
esrj-75821	170	12	risk	risk	NOUN
esrj-75821	170	13	groundwater	groundwater	NOUN
esrj-75821	170	14	depletion	depletion	NOUN
esrj-75821	170	15	(	(	PUNCT
esrj-75821	170	16	cm	cm	NOUN
esrj-75821	170	17	/	/	SYM
esrj-75821	170	18	year	year	NOUN
esrj-75821	170	19	)	)	PUNCT
esrj-75821	170	20	low	low	ADJ
esrj-75821	170	21	moderate	moderate	ADJ
esrj-75821	170	22	high	high	ADJ
esrj-75821	170	23	severe	severe	ADJ
esrj-75821	170	24	<	<	NOUN
esrj-75821	170	25	20	20	NUM
esrj-75821	170	26	20	20	NUM
esrj-75821	170	27	-	-	SYM
esrj-75821	170	28	30	30	NUM
esrj-75821	170	29	30	30	NUM
esrj-75821	170	30	-	-	SYM
esrj-75821	170	31	50	50	NUM
esrj-75821	170	32	>	>	PUNCT
esrj-75821	170	33	50	50	NUM
esrj-75821	170	34	2.6	2.6	NUM
esrj-75821	170	35	.	.	PUNCT
esrj-75821	171	1	model	model	NOUN
esrj-75821	171	2	evaluation	evaluation	NOUN
esrj-75821	171	3	and	and	CCONJ
esrj-75821	171	4	prediction	prediction	VERB
esrj-75821	171	5	the	the	DET
esrj-75821	171	6	prediction	prediction	NOUN
esrj-75821	171	7	performance	performance	NOUN
esrj-75821	171	8	of	of	ADP
esrj-75821	171	9	both	both	CCONJ
esrj-75821	171	10	the	the	DET
esrj-75821	171	11	training	training	NOUN
esrj-75821	171	12	and	and	CCONJ
esrj-75821	171	13	testing	testing	NOUN
esrj-75821	171	14	sets	set	NOUN
esrj-75821	171	15	is	be	AUX
esrj-75821	171	16	evaluated	evaluate	VERB
esrj-75821	171	17	by	by	ADP
esrj-75821	171	18	the	the	DET
esrj-75821	171	19	coefficient	coefficient	NOUN
esrj-75821	171	20	of	of	ADP
esrj-75821	171	21	determination	determination	NOUN
esrj-75821	171	22	(	(	PUNCT
esrj-75821	171	23	r2	r2	PROPN
esrj-75821	171	24	)	)	PUNCT
esrj-75821	171	25	and	and	CCONJ
esrj-75821	171	26	mean	mean	VERB
esrj-75821	171	27	squared	square	VERB
esrj-75821	171	28	error	error	NOUN
esrj-75821	171	29	(	(	PUNCT
esrj-75821	171	30	mse	mse	PROPN
esrj-75821	171	31	)	)	PUNCT
esrj-75821	171	32	esq	esq	PROPN
esrj-75821	171	33	.	.	PUNCT
esrj-75821	172	1	(	(	PUNCT
esrj-75821	172	2	8	8	NUM
esrj-75821	172	3	-	-	SYM
esrj-75821	172	4	9	9	NUM
esrj-75821	172	5	)	)	PUNCT
esrj-75821	172	6	.	.	PUNCT
esrj-75821	173	1	the	the	DET
esrj-75821	173	2	calculation	calculation	NOUN
esrj-75821	173	3	formula	formula	NOUN
esrj-75821	173	4	according	accord	VERB
esrj-75821	173	5	to	to	ADP
esrj-75821	173	6	webster	webster	PROPN
esrj-75821	173	7	and	and	CCONJ
esrj-75821	173	8	oliver	oliver	PROPN
esrj-75821	173	9	(	(	PUNCT
esrj-75821	173	10	2001	2001	NUM
esrj-75821	173	11	)	)	PUNCT
esrj-75821	173	12	is	be	AUX
esrj-75821	173	13	:	:	PUNCT
esrj-75821	173	14	r	r	NOUN
esrj-75821	173	15	ss	ss	NOUN
esrj-75821	173	16	sse	sse	NOUN
esrj-75821	173	17	ss	ss	PROPN
esrj-75821	174	1	yy	yy	INTJ
esrj-75821	175	1	yy	yy	INTJ
esrj-75821	175	2	2	2	NUM
esrj-75821	175	3	=	=	SYM
esrj-75821	175	4	−	−	PROPN
esrj-75821	175	5	,	,	PUNCT
esrj-75821	175	6	ssyy=	ssyy=	CCONJ
esrj-75821	175	7	i	i	PRON
esrj-75821	175	8	â	â	PROPN
esrj-75821	175	9	yiy	yiy	PROPN
esrj-75821	175	10	(	(	PUNCT
esrj-75821	175	11	)	)	PUNCT
esrj-75821	175	12	2	2	NUM
esrj-75821	175	13	,	,	PUNCT
esrj-75821	175	14	sse=	sse=	PROPN
esrj-75821	175	15	i	i	PRON
esrj-75821	175	16	â	â	VERB
esrj-75821	175	17	yiyi	yiyi	PROPN
esrj-75821	175	18	!	!	PUNCT
esrj-75821	176	1	(	(	PUNCT
esrj-75821	176	2	)	)	PUNCT
esrj-75821	176	3	2	2	NUM
esrj-75821	176	4	(	(	PUNCT
esrj-75821	176	5	8)	8)	NUM
esrj-75821	176	6	mse=	mse=	PROPN
esrj-75821	176	7	1	1	NUM
esrj-75821	176	8	n	n	NOUN
esrj-75821	176	9	i=1	i=1	PROPN
esrj-75821	176	10	n	n	PRON
esrj-75821	176	11	â	â	X
esrj-75821	176	12	yiyi	yiyi	NOUN
esrj-75821	176	13	!	!	PUNCT
esrj-75821	177	1	(	(	PUNCT
esrj-75821	177	2	)	)	PUNCT
esrj-75821	177	3	2	2	NUM
esrj-75821	177	4	(	(	PUNCT
esrj-75821	177	5	9	9	NUM
esrj-75821	177	6	)	)	PUNCT
esrj-75821	177	7	where	where	SCONJ
esrj-75821	177	8	yi	yi	PROPN
esrj-75821	177	9			PROPN
esrj-75821	177	10	is	be	AUX
esrj-75821	177	11	predicted	predict	VERB
esrj-75821	177	12	and	and	CCONJ
esrj-75821	177	13	yi	yi	PROPN
esrj-75821	177	14	is	be	AUX
esrj-75821	177	15	observed	observe	VERB
esrj-75821	177	16	data	datum	NOUN
esrj-75821	177	17	and	and	CCONJ
esrj-75821	177	18	n	n	NOUN
esrj-75821	177	19	is	be	AUX
esrj-75821	177	20	the	the	DET
esrj-75821	177	21	number	number	NOUN
esrj-75821	177	22	of	of	ADP
esrj-75821	177	23	observations	observation	NOUN
esrj-75821	177	24	.	.	PUNCT
esrj-75821	178	1	mse	mse	PROPN
esrj-75821	178	2	is	be	AUX
esrj-75821	178	3	the	the	DET
esrj-75821	178	4	average	average	ADJ
esrj-75821	178	5	squared	square	VERB
esrj-75821	178	6	difference	difference	NOUN
esrj-75821	178	7	between	between	ADP
esrj-75821	178	8	predicted	predict	VERB
esrj-75821	178	9	values	value	NOUN
esrj-75821	178	10	by	by	ADP
esrj-75821	178	11	the	the	DET
esrj-75821	178	12	model	model	NOUN
esrj-75821	178	13	and	and	CCONJ
esrj-75821	178	14	measured	measured	ADJ
esrj-75821	178	15	values	value	NOUN
esrj-75821	178	16	.	.	PUNCT
esrj-75821	179	1	mse	mse	PROPN
esrj-75821	179	2	is	be	AUX
esrj-75821	179	3	an	an	DET
esrj-75821	179	4	indicator	indicator	NOUN
esrj-75821	179	5	of	of	ADP
esrj-75821	179	6	model	model	NOUN
esrj-75821	179	7	accuracy	accuracy	NOUN
esrj-75821	179	8	or	or	CCONJ
esrj-75821	179	9	precision	precision	NOUN
esrj-75821	179	10	.	.	PUNCT
esrj-75821	180	1	mse	mse	PROPN
esrj-75821	180	2	should	should	AUX
esrj-75821	180	3	be	be	AUX
esrj-75821	180	4	as	as	ADV
esrj-75821	180	5	low	low	ADJ
esrj-75821	180	6	,	,	PUNCT
esrj-75821	180	7	or	or	CCONJ
esrj-75821	180	8	close	close	ADV
esrj-75821	180	9	to	to	ADP
esrj-75821	180	10	zero	zero	NUM
esrj-75821	180	11	,	,	PUNCT
esrj-75821	180	12	as	as	ADP
esrj-75821	180	13	possible	possible	ADJ
esrj-75821	180	14	.	.	PUNCT
esrj-75821	181	1	the	the	DET
esrj-75821	181	2	coefficient	coefficient	NOUN
esrj-75821	181	3	of	of	ADP
esrj-75821	181	4	determination	determination	NOUN
esrj-75821	181	5	(	(	PUNCT
esrj-75821	181	6	r2	r2	PROPN
esrj-75821	181	7	)	)	PUNCT
esrj-75821	181	8	establishes	establish	VERB
esrj-75821	181	9	a	a	DET
esrj-75821	181	10	linear	linear	ADJ
esrj-75821	181	11	correlation	correlation	NOUN
esrj-75821	181	12	between	between	ADP
esrj-75821	181	13	measured	measure	VERB
esrj-75821	181	14	values	value	NOUN
esrj-75821	181	15	and	and	CCONJ
esrj-75821	181	16	simulated	simulated	ADJ
esrj-75821	181	17	ones	one	NOUN
esrj-75821	181	18	by	by	ADP
esrj-75821	181	19	model	model	NOUN
esrj-75821	181	20	.	.	PUNCT
esrj-75821	182	1	the	the	DET
esrj-75821	182	2	value	value	NOUN
esrj-75821	182	3	of	of	ADP
esrj-75821	182	4	1	1	NUM
esrj-75821	182	5	is	be	AUX
esrj-75821	182	6	optimal	optimal	ADJ
esrj-75821	182	7	and	and	CCONJ
esrj-75821	182	8	shows	show	VERB
esrj-75821	182	9	the	the	DET
esrj-75821	182	10	positive	positive	ADJ
esrj-75821	182	11	linear	linear	PROPN
esrj-75821	182	12	relationship	relationship	NOUN
esrj-75821	182	13	.	.	PUNCT
esrj-75821	183	1	after	after	ADP
esrj-75821	183	2	model	model	NOUN
esrj-75821	183	3	evaluation	evaluation	NOUN
esrj-75821	183	4	,	,	PUNCT
esrj-75821	183	5	the	the	DET
esrj-75821	183	6	best	good	ADJ
esrj-75821	183	7	model	model	NOUN
esrj-75821	183	8	was	be	AUX
esrj-75821	183	9	selected	select	VERB
esrj-75821	183	10	using	use	VERB
esrj-75821	183	11	r2	r2	PROPN
esrj-75821	183	12	.	.	PUNCT
esrj-75821	184	1	the	the	DET
esrj-75821	184	2	farming	farming	NOUN
esrj-75821	184	3	season	season	NOUN
esrj-75821	184	4	and/or	and/or	CCONJ
esrj-75821	184	5	the	the	DET
esrj-75821	184	6	heavy	heavy	ADJ
esrj-75821	184	7	use	use	NOUN
esrj-75821	184	8	of	of	ADP
esrj-75821	184	9	groundwater	groundwater	NOUN
esrj-75821	184	10	and	and	CCONJ
esrj-75821	184	11	water	water	NOUN
esrj-75821	184	12	well	well	ADV
esrj-75821	184	13	do	do	AUX
esrj-75821	184	14	not	not	PART
esrj-75821	184	15	start	start	VERB
esrj-75821	184	16	until	until	ADP
esrj-75821	184	17	around	around	ADP
esrj-75821	184	18	april	april	PROPN
esrj-75821	184	19	,	,	PUNCT
esrj-75821	184	20	so	so	SCONJ
esrj-75821	184	21	we	we	PRON
esrj-75821	184	22	predicted	predict	VERB
esrj-75821	184	23	the	the	DET
esrj-75821	184	24	level	level	NOUN
esrj-75821	184	25	of	of	ADP
esrj-75821	184	26	groundwater	groundwater	NOUN
esrj-75821	184	27	for	for	ADP
esrj-75821	184	28	april	april	PROPN
esrj-75821	184	29	2025	2025	NUM
esrj-75821	184	30	.	.	PUNCT
esrj-75821	185	1	looking	look	VERB
esrj-75821	185	2	at	at	ADP
esrj-75821	185	3	twi	twi	PROPN
esrj-75821	185	4	index	index	NOUN
esrj-75821	185	5	,	,	PUNCT
esrj-75821	185	6	the	the	DET
esrj-75821	185	7	distance	distance	NOUN
esrj-75821	185	8	from	from	ADP
esrj-75821	185	9	river	river	NOUN
esrj-75821	185	10	and	and	CCONJ
esrj-75821	185	11	latitude	latitude	NOUN
esrj-75821	185	12	and	and	CCONJ
esrj-75821	185	13	longitude	longitude	ADJ
esrj-75821	185	14	variables	variable	NOUN
esrj-75821	185	15	,	,	PUNCT
esrj-75821	185	16	they	they	PRON
esrj-75821	185	17	all	all	PRON
esrj-75821	185	18	have	have	VERB
esrj-75821	185	19	spatial	spatial	ADJ
esrj-75821	185	20	information	information	NOUN
esrj-75821	185	21	and	and	CCONJ
esrj-75821	185	22	only	only	ADV
esrj-75821	185	23	monthly	monthly	ADJ
esrj-75821	185	24	precipitation	precipitation	NOUN
esrj-75821	185	25	has	have	VERB
esrj-75821	185	26	spatial	spatial	ADJ
esrj-75821	185	27	-	-	PUNCT
esrj-75821	185	28	temporal	temporal	ADJ
esrj-75821	185	29	characteristic	characteristic	NOUN
esrj-75821	185	30	.	.	PUNCT
esrj-75821	186	1	using	use	VERB
esrj-75821	186	2	the	the	DET
esrj-75821	186	3	linear	linear	ADJ
esrj-75821	186	4	regression	regression	NOUN
esrj-75821	186	5	relationship	relationship	NOUN
esrj-75821	186	6	between	between	ADP
esrj-75821	186	7	monthly	monthly	ADJ
esrj-75821	186	8	precipitation	precipitation	NOUN
esrj-75821	186	9	and	and	CCONJ
esrj-75821	186	10	elevation	elevation	NOUN
esrj-75821	186	11	of	of	ADP
esrj-75821	186	12	synoptic	synoptic	ADJ
esrj-75821	186	13	station	station	NOUN
esrj-75821	186	14	,	,	PUNCT
esrj-75821	186	15	the	the	DET
esrj-75821	186	16	precipitation	precipitation	NOUN
esrj-75821	186	17	of	of	ADP
esrj-75821	186	18	24	24	NUM
esrj-75821	186	19	piezometric	piezometric	ADJ
esrj-75821	186	20	wells	well	NOUN
esrj-75821	186	21	was	be	AUX
esrj-75821	186	22	calculated	calculate	VERB
esrj-75821	186	23	for	for	ADP
esrj-75821	186	24	april	april	PROPN
esrj-75821	186	25	2025	2025	NUM
esrj-75821	186	26	and	and	CCONJ
esrj-75821	186	27	was	be	AUX
esrj-75821	186	28	also	also	ADV
esrj-75821	186	29	used	use	VERB
esrj-75821	186	30	in	in	ADP
esrj-75821	186	31	predictive	predictive	ADJ
esrj-75821	186	32	model	model	NOUN
esrj-75821	186	33	.	.	PUNCT
esrj-75821	187	1	after	after	ADP
esrj-75821	187	2	that	that	PRON
esrj-75821	187	3	,	,	PUNCT
esrj-75821	187	4	interpolation	interpolation	NOUN
esrj-75821	187	5	was	be	AUX
esrj-75821	187	6	carried	carry	VERB
esrj-75821	187	7	out	out	ADP
esrj-75821	187	8	via	via	ADP
esrj-75821	187	9	the	the	DET
esrj-75821	187	10	ordinary	ordinary	ADJ
esrj-75821	187	11	kriging	krige	VERB
esrj-75821	187	12	method	method	NOUN
esrj-75821	187	13	and	and	CCONJ
esrj-75821	187	14	groundwater	groundwater	NOUN
esrj-75821	187	15	level	level	NOUN
esrj-75821	187	16	of	of	ADP
esrj-75821	187	17	april	april	PROPN
esrj-75821	187	18	2025	2025	NUM
esrj-75821	187	19	was	be	AUX
esrj-75821	187	20	also	also	ADV
esrj-75821	187	21	calculated	calculate	VERB
esrj-75821	187	22	,	,	PUNCT
esrj-75821	187	23	where	where	SCONJ
esrj-75821	187	24	the	the	DET
esrj-75821	187	25	depletion	depletion	NOUN
esrj-75821	187	26	maps	map	NOUN
esrj-75821	187	27	were	be	AUX
esrj-75821	187	28	prepared	prepare	VERB
esrj-75821	187	29	by	by	ADP
esrj-75821	187	30	subtracting	subtract	VERB
esrj-75821	187	31	presents	present	NOUN
esrj-75821	187	32	year	year	NOUN
esrj-75821	187	33	map	map	NOUN
esrj-75821	187	34	and	and	CCONJ
esrj-75821	187	35	the	the	DET
esrj-75821	187	36	map	map	NOUN
esrj-75821	187	37	from	from	ADP
esrj-75821	187	38	the	the	DET
esrj-75821	187	39	previous	previous	ADJ
esrj-75821	187	40	year	year	NOUN
esrj-75821	187	41	.	.	PUNCT
esrj-75821	188	1	after	after	ADP
esrj-75821	188	2	subtraction	subtraction	NOUN
esrj-75821	188	3	,	,	PUNCT
esrj-75821	188	4	the	the	DET
esrj-75821	188	5	potential	potential	ADJ
esrj-75821	188	6	desertification	desertification	NOUN
esrj-75821	188	7	map	map	NOUN
esrj-75821	188	8	for	for	ADP
esrj-75821	188	9	years	year	NOUN
esrj-75821	188	10	2002	2002	NUM
esrj-75821	188	11	,	,	PUNCT
esrj-75821	188	12	2010	2010	NUM
esrj-75821	188	13	,	,	PUNCT
esrj-75821	188	14	2016	2016	NUM
esrj-75821	188	15	and	and	CCONJ
esrj-75821	188	16	2025	2025	NUM
esrj-75821	188	17	(	(	PUNCT
esrj-75821	188	18	prediction	prediction	NOUN
esrj-75821	188	19	year	year	NOUN
esrj-75821	188	20	)	)	PUNCT
esrj-75821	188	21	was	be	AUX
esrj-75821	188	22	prepared	prepare	VERB
esrj-75821	188	23	.	.	PUNCT
esrj-75821	189	1	figure	figure	VERB
esrj-75821	189	2	4	4	NUM
esrj-75821	189	3	shows	show	VERB
esrj-75821	189	4	the	the	DET
esrj-75821	189	5	procedures	procedure	NOUN
esrj-75821	189	6	of	of	ADP
esrj-75821	189	7	calculation	calculation	NOUN
esrj-75821	189	8	.	.	PUNCT
esrj-75821	190	1	receiver	receiver	ADJ
esrj-75821	190	2	operating	operate	VERB
esrj-75821	190	3	characteristic	characteristic	ADJ
esrj-75821	190	4	curve	curve	NOUN
esrj-75821	190	5	(	(	PUNCT
esrj-75821	190	6	roc	roc	PROPN
esrj-75821	190	7	)	)	PUNCT
esrj-75821	190	8	is	be	AUX
esrj-75821	190	9	a	a	DET
esrj-75821	190	10	classifier	classifier	NOUN
esrj-75821	190	11	or	or	CCONJ
esrj-75821	190	12	diagnosis	diagnosis	VERB
esrj-75821	190	13	method.the	method.the	DET
esrj-75821	190	14	efficiency	efficiency	NOUN
esrj-75821	190	15	of	of	ADP
esrj-75821	190	16	binary	binary	ADJ
esrj-75821	190	17	classifier	classifier	NOUN
esrj-75821	190	18	can	can	AUX
esrj-75821	190	19	be	be	AUX
esrj-75821	190	20	evaluated	evaluate	VERB
esrj-75821	190	21	with	with	ADP
esrj-75821	190	22	sensitivity	sensitivity	NOUN
esrj-75821	190	23	and	and	CCONJ
esrj-75821	190	24	recall	recall	NOUN
esrj-75821	190	25	indices	index	NOUN
esrj-75821	190	26	.	.	PUNCT
esrj-75821	191	1	in	in	ADP
esrj-75821	191	2	roc	roc	PROPN
esrj-75821	191	3	graph	graph	NOUN
esrj-75821	191	4	,	,	PUNCT
esrj-75821	191	5	a	a	DET
esrj-75821	191	6	combination	combination	NOUN
esrj-75821	191	7	of	of	ADP
esrj-75821	191	8	these	these	DET
esrj-75821	191	9	two	two	NUM
esrj-75821	191	10	indices	index	NOUN
esrj-75821	191	11	are	be	AUX
esrj-75821	191	12	presented	present	VERB
esrj-75821	191	13	as	as	ADP
esrj-75821	191	14	a	a	DET
esrj-75821	191	15	curve	curve	NOUN
esrj-75821	191	16	.	.	PUNCT
esrj-75821	192	1	researchers	researcher	NOUN
esrj-75821	192	2	test	test	VERB
esrj-75821	192	3	efficiency	efficiency	NOUN
esrj-75821	192	4	of	of	ADP
esrj-75821	192	5	the	the	DET
esrj-75821	192	6	cluster	cluster	NOUN
esrj-75821	192	7	algorithms	algorithm	NOUN
esrj-75821	192	8	or	or	CCONJ
esrj-75821	192	9	raster	raster	NOUN
esrj-75821	192	10	data	datum	NOUN
esrj-75821	192	11	using	use	VERB
esrj-75821	192	12	roc	roc	PROPN
esrj-75821	192	13	curve	curve	NOUN
esrj-75821	192	14	.	.	PUNCT
esrj-75821	193	1	this	this	DET
esrj-75821	193	2	technique	technique	NOUN
esrj-75821	193	3	has	have	AUX
esrj-75821	193	4	been	be	AUX
esrj-75821	193	5	frequently	frequently	ADV
esrj-75821	193	6	used	use	VERB
esrj-75821	193	7	in	in	ADP
esrj-75821	193	8	supervised	supervised	ADJ
esrj-75821	193	9	machine	machine	NOUN
esrj-75821	193	10	learning	learning	NOUN
esrj-75821	193	11	.	.	PUNCT
esrj-75821	194	1	roc	roc	PROPN
esrj-75821	194	2	curve	curve	NOUN
esrj-75821	194	3	is	be	AUX
esrj-75821	194	4	value	value	NOUN
esrj-75821	194	5	of	of	ADP
esrj-75821	194	6	true	true	ADJ
esrj-75821	194	7	positive	positive	ADJ
esrj-75821	194	8	rate	rate	NOUN
esrj-75821	194	9	over	over	ADP
esrj-75821	194	10	the	the	DET
esrj-75821	194	11	false	false	ADJ
esrj-75821	194	12	positive	positive	ADJ
esrj-75821	194	13	rate	rate	NOUN
esrj-75821	194	14	in	in	ADP
esrj-75821	194	15	the	the	DET
esrj-75821	194	16	confusion	confusion	NOUN
esrj-75821	194	17	matrix	matrix	NOUN
esrj-75821	194	18	.	.	PUNCT
esrj-75821	195	1	since	since	SCONJ
esrj-75821	195	2	the	the	DET
esrj-75821	195	3	classes	class	NOUN
esrj-75821	195	4	are	be	AUX
esrj-75821	195	5	based	base	VERB
esrj-75821	195	6	on	on	ADP
esrj-75821	195	7	continuous	continuous	ADJ
esrj-75821	195	8	random	random	ADJ
esrj-75821	195	9	variable	variable	NOUN
esrj-75821	195	10	,	,	PUNCT
esrj-75821	195	11	the	the	DET
esrj-75821	195	12	curve	curve	NOUN
esrj-75821	195	13	is	be	AUX
esrj-75821	195	14	continuous	continuous	ADJ
esrj-75821	195	15	function	function	NOUN
esrj-75821	195	16	which	which	PRON
esrj-75821	195	17	can	can	AUX
esrj-75821	195	18	be	be	AUX
esrj-75821	195	19	estimated	estimate	VERB
esrj-75821	195	20	from	from	ADP
esrj-75821	195	21	data	datum	NOUN
esrj-75821	195	22	.	.	PUNCT
esrj-75821	196	1	357prediction	357prediction	NOUN
esrj-75821	196	2	of	of	ADP
esrj-75821	196	3	land	land	NOUN
esrj-75821	196	4	degradation	degradation	NOUN
esrj-75821	196	5	by	by	ADP
esrj-75821	196	6	machine	machine	NOUN
esrj-75821	196	7	learning	learning	NOUN
esrj-75821	196	8	methods	method	NOUN
esrj-75821	196	9	:	:	PUNCT
esrj-75821	196	10	a	a	DET
esrj-75821	196	11	case	case	NOUN
esrj-75821	196	12	study	study	NOUN
esrj-75821	196	13	from	from	ADP
esrj-75821	196	14	sharifabad	sharifabad	PROPN
esrj-75821	196	15	watershed	watershed	PROPN
esrj-75821	196	16	,	,	PUNCT
esrj-75821	196	17	central	central	ADJ
esrj-75821	196	18	iran	iran	PROPN
esrj-75821	196	19	figure	figure	VERB
esrj-75821	196	20	4	4	NUM
esrj-75821	196	21	.	.	PUNCT
esrj-75821	197	1	the	the	DET
esrj-75821	197	2	procedures	procedure	NOUN
esrj-75821	197	3	of	of	ADP
esrj-75821	197	4	our	our	PRON
esrj-75821	197	5	study	study	NOUN
esrj-75821	197	6	3	3	NUM
esrj-75821	197	7	.	.	PUNCT
esrj-75821	197	8	results	result	NOUN
esrj-75821	197	9	we	we	PRON
esrj-75821	197	10	predicted	predict	VERB
esrj-75821	197	11	the	the	DET
esrj-75821	197	12	level	level	NOUN
esrj-75821	197	13	of	of	ADP
esrj-75821	197	14	groundwater	groundwater	NOUN
esrj-75821	197	15	of	of	ADP
esrj-75821	197	16	24	24	NUM
esrj-75821	197	17	piezometric	piezometric	ADJ
esrj-75821	197	18	wells	well	NOUN
esrj-75821	197	19	,	,	PUNCT
esrj-75821	197	20	with	with	ADP
esrj-75821	197	21	5	5	NUM
esrj-75821	197	22	inputs	input	NOUN
esrj-75821	197	23	and	and	CCONJ
esrj-75821	197	24	1	1	NUM
esrj-75821	197	25	output	output	NOUN
esrj-75821	197	26	using	use	VERB
esrj-75821	197	27	anfis	anfis	PROPN
esrj-75821	197	28	,	,	PUNCT
esrj-75821	197	29	ann	ann	PROPN
esrj-75821	197	30	,	,	PUNCT
esrj-75821	197	31	and	and	CCONJ
esrj-75821	197	32	plsr	plsr	NOUN
esrj-75821	197	33	between	between	ADP
esrj-75821	197	34	2002	2002	NUM
esrj-75821	197	35	and	and	CCONJ
esrj-75821	197	36	2016	2016	NUM
esrj-75821	197	37	in	in	ADP
esrj-75821	197	38	sharif	sharif	PROPN
esrj-75821	197	39	abad	abad	PROPN
esrj-75821	197	40	watershed	watershed	PROPN
esrj-75821	197	41	,	,	PUNCT
esrj-75821	197	42	qom	qom	PROPN
esrj-75821	197	43	province	province	PROPN
esrj-75821	197	44	.	.	PUNCT
esrj-75821	198	1	figure	figure	NOUN
esrj-75821	198	2	5	5	NUM
esrj-75821	198	3	shows	show	VERB
esrj-75821	198	4	the	the	DET
esrj-75821	198	5	annual	annual	ADJ
esrj-75821	198	6	precipitation	precipitation	NOUN
esrj-75821	198	7	of	of	ADP
esrj-75821	198	8	143	143	NUM
esrj-75821	198	9	mm	mm	NOUN
esrj-75821	198	10	at	at	ADP
esrj-75821	198	11	the	the	DET
esrj-75821	198	12	sharif	sharif	PROPN
esrj-75821	198	13	abad	abad	PROPN
esrj-75821	198	14	watershed	watershed	PROPN
esrj-75821	198	15	and	and	CCONJ
esrj-75821	198	16	,	,	PUNCT
esrj-75821	198	17	usually	usually	ADV
esrj-75821	198	18	,	,	PUNCT
esrj-75821	198	19	the	the	DET
esrj-75821	198	20	level	level	NOUN
esrj-75821	198	21	of	of	ADP
esrj-75821	198	22	groundwater	groundwater	NOUN
esrj-75821	198	23	and	and	CCONJ
esrj-75821	198	24	precipitation	precipitation	NOUN
esrj-75821	198	25	are	be	AUX
esrj-75821	198	26	different	different	ADJ
esrj-75821	198	27	.	.	PUNCT
esrj-75821	199	1	also	also	ADV
esrj-75821	199	2	,	,	PUNCT
esrj-75821	199	3	it	it	PRON
esrj-75821	199	4	shows	show	VERB
esrj-75821	199	5	the	the	DET
esrj-75821	199	6	contradiction	contradiction	NOUN
esrj-75821	199	7	between	between	ADP
esrj-75821	199	8	precipitation	precipitation	NOUN
esrj-75821	199	9	and	and	CCONJ
esrj-75821	199	10	the	the	DET
esrj-75821	199	11	level	level	NOUN
esrj-75821	199	12	of	of	ADP
esrj-75821	199	13	groundwater	groundwater	NOUN
esrj-75821	199	14	.	.	PUNCT
esrj-75821	200	1	we	we	PRON
esrj-75821	200	2	applied	apply	VERB
esrj-75821	200	3	ann	ann	PROPN
esrj-75821	200	4	on	on	ADP
esrj-75821	200	5	4	4	NUM
esrj-75821	200	6	networks	network	NOUN
esrj-75821	200	7	using	use	VERB
esrj-75821	200	8	trial	trial	NOUN
esrj-75821	200	9	and	and	CCONJ
esrj-75821	200	10	error	error	NOUN
esrj-75821	200	11	and	and	CCONJ
esrj-75821	200	12	predetermined	predetermine	VERB
esrj-75821	200	13	parameters	parameter	NOUN
esrj-75821	200	14	and	and	CCONJ
esrj-75821	200	15	compared	compare	VERB
esrj-75821	200	16	the	the	DET
esrj-75821	200	17	results	result	NOUN
esrj-75821	200	18	to	to	PART
esrj-75821	200	19	find	find	VERB
esrj-75821	200	20	the	the	DET
esrj-75821	200	21	optimum	optimum	ADJ
esrj-75821	200	22	network	network	NOUN
esrj-75821	200	23	.	.	PUNCT
esrj-75821	201	1	table	table	NOUN
esrj-75821	201	2	2	2	NUM
esrj-75821	201	3	shows	show	VERB
esrj-75821	201	4	the	the	DET
esrj-75821	201	5	4	4	NUM
esrj-75821	201	6	networks	network	NOUN
esrj-75821	201	7	of	of	ADP
esrj-75821	201	8	piezometric	piezometric	ADJ
esrj-75821	201	9	wells	well	NOUN
esrj-75821	201	10	during	during	ADP
esrj-75821	201	11	training	training	NOUN
esrj-75821	201	12	and	and	CCONJ
esrj-75821	201	13	testing	testing	NOUN
esrj-75821	201	14	stages	stage	NOUN
esrj-75821	201	15	.	.	PUNCT
esrj-75821	202	1	khaki	khaki	PROPN
esrj-75821	202	2	et	et	PROPN
esrj-75821	202	3	al	al	PROPN
esrj-75821	202	4	(	(	PUNCT
esrj-75821	202	5	2016	2016	NUM
esrj-75821	202	6	)	)	PUNCT
esrj-75821	202	7	mentioned	mention	VERB
esrj-75821	202	8	that	that	SCONJ
esrj-75821	202	9	the	the	DET
esrj-75821	202	10	sigmoid	sigmoid	NOUN
esrj-75821	202	11	transfer	transfer	NOUN
esrj-75821	202	12	functions	function	NOUN
esrj-75821	202	13	model	model	NOUN
esrj-75821	202	14	works	work	VERB
esrj-75821	202	15	better	well	ADV
esrj-75821	202	16	than	than	ADP
esrj-75821	202	17	others	other	NOUN
esrj-75821	202	18	,	,	PUNCT
esrj-75821	202	19	but	but	CCONJ
esrj-75821	202	20	we	we	PRON
esrj-75821	202	21	also	also	ADV
esrj-75821	202	22	used	use	VERB
esrj-75821	202	23	the	the	DET
esrj-75821	202	24	tanhaxon	tanhaxon	PROPN
esrj-75821	202	25	method	method	NOUN
esrj-75821	202	26	with	with	ADP
esrj-75821	202	27	500	500	NUM
esrj-75821	202	28	epoch	epoch	NOUN
esrj-75821	202	29	.	.	PUNCT
esrj-75821	203	1	figure	figure	VERB
esrj-75821	203	2	5	5	NUM
esrj-75821	203	3	.	.	PUNCT
esrj-75821	203	4	monthly	monthly	ADJ
esrj-75821	203	5	rainfall	rainfall	NOUN
esrj-75821	203	6	(	(	PUNCT
esrj-75821	203	7	mm	mm	NOUN
esrj-75821	203	8	)	)	PUNCT
esrj-75821	203	9	and	and	CCONJ
esrj-75821	203	10	water	water	NOUN
esrj-75821	203	11	level	level	NOUN
esrj-75821	203	12	(	(	PUNCT
esrj-75821	203	13	m	m	NOUN
esrj-75821	203	14	)	)	PUNCT
esrj-75821	203	15	for	for	ADP
esrj-75821	203	16	observation	observation	NOUN
esrj-75821	203	17	well	well	ADV
esrj-75821	203	18	from	from	ADP
esrj-75821	203	19	2002	2002	NUM
esrj-75821	203	20	to	to	ADP
esrj-75821	203	21	2016	2016	NUM
esrj-75821	203	22	as	as	ADP
esrj-75821	203	23	table	table	NOUN
esrj-75821	203	24	2	2	NUM
esrj-75821	203	25	shows	show	NOUN
esrj-75821	203	26	,	,	PUNCT
esrj-75821	203	27	the	the	DET
esrj-75821	203	28	mlp	mlp	NOUN
esrj-75821	203	29	method	method	NOUN
esrj-75821	203	30	with	with	ADP
esrj-75821	203	31	sigmoid	sigmoid	NOUN
esrj-75821	203	32	axon	axon	NOUN
esrj-75821	203	33	transfer	transfer	NOUN
esrj-75821	203	34	model	model	NOUN
esrj-75821	203	35	,	,	PUNCT
esrj-75821	203	36	which	which	PRON
esrj-75821	203	37	trained	train	VERB
esrj-75821	203	38	with	with	ADP
esrj-75821	203	39	levenberg	levenberg	PROPN
esrj-75821	203	40	–	–	PUNCT
esrj-75821	203	41	marquardt	marquardt	PROPN
esrj-75821	203	42	algorithm	algorithm	PROPN
esrj-75821	203	43	,	,	PUNCT
esrj-75821	203	44	was	be	AUX
esrj-75821	203	45	the	the	DET
esrj-75821	203	46	best	good	ADJ
esrj-75821	203	47	model	model	NOUN
esrj-75821	203	48	based	base	VERB
esrj-75821	203	49	on	on	ADP
esrj-75821	203	50	r2	r2	PROPN
esrj-75821	203	51	and	and	CCONJ
esrj-75821	203	52	mse	mse	NOUN
esrj-75821	203	53	criteria	criterion	NOUN
esrj-75821	203	54	.	.	PUNCT
esrj-75821	204	1	to	to	PART
esrj-75821	204	2	predict	predict	VERB
esrj-75821	204	3	the	the	DET
esrj-75821	204	4	level	level	NOUN
esrj-75821	204	5	of	of	ADP
esrj-75821	204	6	groundwater	groundwater	NOUN
esrj-75821	204	7	with	with	ADP
esrj-75821	204	8	anfis	anfis	PROPN
esrj-75821	204	9	method	method	NOUN
esrj-75821	204	10	,	,	PUNCT
esrj-75821	204	11	two	two	NUM
esrj-75821	204	12	fuzzy	fuzzy	ADJ
esrj-75821	204	13	model	model	NOUN
esrj-75821	204	14	networks	network	NOUN
esrj-75821	204	15	,	,	PUNCT
esrj-75821	204	16	takagi	takagi	NOUN
esrj-75821	204	17	-	-	PUNCT
esrj-75821	204	18	sugeno	sugeno	NOUN
esrj-75821	204	19	-	-	PUNCT
esrj-75821	204	20	kang	kang	PROPN
esrj-75821	204	21	type	type	NOUN
esrj-75821	204	22	fuzzy	fuzzy	ADJ
esrj-75821	204	23	and	and	CCONJ
esrj-75821	204	24	t	t	NOUN
esrj-75821	204	25	tsukamoto	tsukamoto	NOUN
esrj-75821	204	26	,	,	PUNCT
esrj-75821	204	27	with	with	ADP
esrj-75821	204	28	similar	similar	ADJ
esrj-75821	204	29	algorithms	algorithm	NOUN
esrj-75821	204	30	of	of	ADP
esrj-75821	204	31	ann	ann	PROPN
esrj-75821	204	32	are	be	AUX
esrj-75821	204	33	compared	compare	VERB
esrj-75821	204	34	to	to	PART
esrj-75821	204	35	find	find	VERB
esrj-75821	204	36	the	the	DET
esrj-75821	204	37	best	good	ADJ
esrj-75821	204	38	network	network	NOUN
esrj-75821	204	39	.	.	PUNCT
esrj-75821	205	1	table	table	NOUN
esrj-75821	205	2	3	3	NUM
esrj-75821	205	3	shows	show	VERB
esrj-75821	205	4	the	the	DET
esrj-75821	205	5	evaluation	evaluation	NOUN
esrj-75821	205	6	of	of	ADP
esrj-75821	205	7	networks	network	NOUN
esrj-75821	205	8	for	for	ADP
esrj-75821	205	9	selected	select	VERB
esrj-75821	205	10	points	point	NOUN
esrj-75821	205	11	in	in	ADP
esrj-75821	205	12	training	training	NOUN
esrj-75821	205	13	and	and	CCONJ
esrj-75821	205	14	testing	testing	NOUN
esrj-75821	205	15	stages	stage	NOUN
esrj-75821	205	16	.	.	PUNCT
esrj-75821	206	1	as	as	SCONJ
esrj-75821	206	2	table	table	NOUN
esrj-75821	206	3	3	3	NUM
esrj-75821	206	4	shows	show	NOUN
esrj-75821	206	5	,	,	PUNCT
esrj-75821	206	6	tsukamoto	tsukamoto	NOUN
esrj-75821	206	7	method	method	NOUN
esrj-75821	206	8	with	with	ADP
esrj-75821	206	9	levenberg	levenberg	PROPN
esrj-75821	206	10	–	–	PUNCT
esrj-75821	206	11	marquardt	marquardt	PROPN
esrj-75821	206	12	training	training	NOUN
esrj-75821	206	13	algorithm	algorithm	NOUN
esrj-75821	206	14	was	be	AUX
esrj-75821	206	15	the	the	DET
esrj-75821	206	16	best	good	ADJ
esrj-75821	206	17	method	method	NOUN
esrj-75821	206	18	.	.	PUNCT
esrj-75821	207	1	to	to	PART
esrj-75821	207	2	predict	predict	VERB
esrj-75821	207	3	the	the	DET
esrj-75821	207	4	level	level	NOUN
esrj-75821	207	5	of	of	ADP
esrj-75821	207	6	groundwater	groundwater	NOUN
esrj-75821	207	7	with	with	ADP
esrj-75821	207	8	the	the	DET
esrj-75821	207	9	plsr	plsr	NOUN
esrj-75821	207	10	method	method	NOUN
esrj-75821	207	11	,	,	PUNCT
esrj-75821	207	12	we	we	PRON
esrj-75821	207	13	evaluated	evaluate	VERB
esrj-75821	207	14	5	5	NUM
esrj-75821	207	15	components	component	NOUN
esrj-75821	207	16	,	,	PUNCT
esrj-75821	207	17	with	with	ADP
esrj-75821	207	18	the	the	DET
esrj-75821	207	19	fifth	fifth	ADJ
esrj-75821	207	20	one	one	NOUN
esrj-75821	207	21	having	have	VERB
esrj-75821	207	22	the	the	DET
esrj-75821	207	23	highest	high	ADJ
esrj-75821	207	24	functionality	functionality	NOUN
esrj-75821	207	25	(	(	PUNCT
esrj-75821	207	26	table	table	NOUN
esrj-75821	207	27	4	4	NUM
esrj-75821	207	28	)	)	PUNCT
esrj-75821	207	29	.	.	PUNCT
esrj-75821	208	1	table	table	NOUN
esrj-75821	208	2	2	2	NUM
esrj-75821	208	3	.	.	PUNCT
esrj-75821	208	4	comparison	comparison	NOUN
esrj-75821	208	5	of	of	ADP
esrj-75821	208	6	four	four	NUM
esrj-75821	208	7	models	model	NOUN
esrj-75821	208	8	developed	develop	VERB
esrj-75821	208	9	in	in	ADP
esrj-75821	208	10	training	training	NOUN
esrj-75821	208	11	and	and	CCONJ
esrj-75821	208	12	testing	testing	NOUN
esrj-75821	208	13	stages	stage	NOUN
esrj-75821	208	14	.	.	PUNCT
esrj-75821	209	1	model	model	NOUN
esrj-75821	209	2	algorithm	algorithm	NOUN
esrj-75821	209	3	transfer	transfer	NOUN
esrj-75821	209	4	train	train	NOUN
esrj-75821	209	5	test	test	NOUN
esrj-75821	209	6	r2	r2	PROPN
esrj-75821	209	7	mse	mse	PROPN
esrj-75821	209	8	r2	r2	PROPN
esrj-75821	209	9	mse	mse	PROPN
esrj-75821	209	10	rbf	rbf	PROPN
esrj-75821	209	11	lm	lm	PROPN
esrj-75821	209	12	tanh	tanh	PROPN
esrj-75821	209	13	axon	axon	NOUN
esrj-75821	209	14	0.51	0.51	NUM
esrj-75821	209	15	248.18	248.18	NUM
esrj-75821	209	16	0.498	0.498	NUM
esrj-75821	209	17	240	240	NUM
esrj-75821	209	18	sigmoid	sigmoid	NOUN
esrj-75821	209	19	axon	axon	NOUN
esrj-75821	209	20	0.66	0.66	NUM
esrj-75821	209	21	204.7	204.7	NUM
esrj-75821	209	22	0.44	0.44	NUM
esrj-75821	209	23	225	225	NUM
esrj-75821	209	24	mo	mo	PROPN
esrj-75821	209	25	tanh	tanh	PROPN
esrj-75821	209	26	axon	axon	VERB
esrj-75821	209	27	0.55	0.55	NUM
esrj-75821	209	28	205	205	NUM
esrj-75821	209	29	0.49	0.49	NUM
esrj-75821	209	30	212	212	NUM
esrj-75821	209	31	sigmoid	sigmoid	NOUN
esrj-75821	209	32	axon	axon	NOUN
esrj-75821	209	33	0.58	0.58	NUM
esrj-75821	209	34	208.9	208.9	NUM
esrj-75821	209	35	0.53	0.53	NUM
esrj-75821	209	36	210.5	210.5	NUM
esrj-75821	209	37	cg	cg	NOUN
esrj-75821	209	38	tanh	tanh	NOUN
esrj-75821	209	39	axon	axon	NOUN
esrj-75821	209	40	0.72	0.72	NUM
esrj-75821	209	41	165	165	NUM
esrj-75821	209	42	0.712	0.712	NUM
esrj-75821	209	43	166.4	166.4	NUM
esrj-75821	209	44	sigmoid	sigmoid	NOUN
esrj-75821	209	45	axon	axon	NOUN
esrj-75821	209	46	0.78	0.78	NUM
esrj-75821	209	47	148	148	NUM
esrj-75821	209	48	0.71	0.71	NUM
esrj-75821	209	49	155.8	155.8	NUM
esrj-75821	209	50	mlp	mlp	NOUN
esrj-75821	209	51	lm	lm	PROPN
esrj-75821	209	52	tanh	tanh	PROPN
esrj-75821	209	53	axon	axon	VERB
esrj-75821	209	54	0.912	0.912	NUM
esrj-75821	209	55	11.2	11.2	NUM
esrj-75821	209	56	0.901	0.901	NUM
esrj-75821	209	57	12.8	12.8	NUM
esrj-75821	209	58	sigmoid	sigmoid	NOUN
esrj-75821	209	59	axon	axon	NOUN
esrj-75821	209	60	0.963	0.963	NUM
esrj-75821	209	61	7.15	7.15	NUM
esrj-75821	209	62	0.956	0.956	NUM
esrj-75821	209	63	7.33	7.33	NUM
esrj-75821	209	64	mo	mo	PROPN
esrj-75821	209	65	tanh	tanh	PROPN
esrj-75821	209	66	axon	axon	VERB
esrj-75821	209	67	0.881	0.881	NUM
esrj-75821	209	68	15.6	15.6	NUM
esrj-75821	209	69	0.891	0.891	NUM
esrj-75821	209	70	14.8	14.8	NUM
esrj-75821	209	71	sigmoid	sigmoid	NOUN
esrj-75821	209	72	axon	axon	NOUN
esrj-75821	209	73	0.85	0.85	NUM
esrj-75821	209	74	22.4	22.4	NUM
esrj-75821	209	75	0.82	0.82	NUM
esrj-75821	209	76	19.6	19.6	NUM
esrj-75821	209	77	cg	cg	NOUN
esrj-75821	209	78	tanh	tanh	NOUN
esrj-75821	209	79	axon	axon	NOUN
esrj-75821	209	80	0.79	0.79	NUM
esrj-75821	209	81	46.8	46.8	NUM
esrj-75821	209	82	0.771	0.771	NUM
esrj-75821	209	83	45.6	45.6	NUM
esrj-75821	209	84	sigmoid	sigmoid	NOUN
esrj-75821	209	85	axon	axon	NOUN
esrj-75821	209	86	0.82	0.82	NUM
esrj-75821	209	87	38.5	38.5	NUM
esrj-75821	209	88	0.831	0.831	NUM
esrj-75821	209	89	36.6	36.6	NUM
esrj-75821	209	90	gff	gff	PROPN
esrj-75821	209	91	lm	lm	PROPN
esrj-75821	209	92	tanh	tanh	PROPN
esrj-75821	209	93	axon	axon	NOUN
esrj-75821	209	94	0.2	0.2	NUM
esrj-75821	209	95	208.8	208.8	NUM
esrj-75821	209	96	0.22	0.22	NUM
esrj-75821	209	97	209.2	209.2	NUM
esrj-75821	209	98	sigmoid	sigmoid	NOUN
esrj-75821	209	99	axon	axon	NOUN
esrj-75821	209	100	0.11	0.11	NUM
esrj-75821	209	101	208	208	NUM
esrj-75821	209	102	0.15	0.15	NUM
esrj-75821	209	103	212	212	NUM
esrj-75821	209	104	mo	mo	PROPN
esrj-75821	209	105	tanh	tanh	PROPN
esrj-75821	209	106	axon	axon	NOUN
esrj-75821	209	107	0.12	0.12	NUM
esrj-75821	209	108	222	222	NUM
esrj-75821	209	109	0.121	0.121	NUM
esrj-75821	209	110	218	218	NUM
esrj-75821	209	111	sigmoid	sigmoid	NOUN
esrj-75821	209	112	axon	axon	NOUN
esrj-75821	209	113	0.3	0.3	NUM
esrj-75821	209	114	195	195	NUM
esrj-75821	209	115	0.25	0.25	NUM
esrj-75821	209	116	200.8	200.8	NUM
esrj-75821	209	117	cg	cg	NOUN
esrj-75821	209	118	tanh	tanh	NOUN
esrj-75821	209	119	axon	axon	NOUN
esrj-75821	209	120	0.09	0.09	NUM
esrj-75821	209	121	204.7	204.7	NUM
esrj-75821	209	122	0.08	0.08	NUM
esrj-75821	209	123	200	200	NUM
esrj-75821	209	124	sigmoid	sigmoid	NOUN
esrj-75821	209	125	axon	axon	NOUN
esrj-75821	210	1	0.26	0.26	NUM
esrj-75821	210	2	205	205	NUM
esrj-75821	210	3	0.49	0.49	NUM
esrj-75821	210	4	217	217	NUM
esrj-75821	210	5	mnn	mnn	NOUN
esrj-75821	211	1	lm	lm	PROPN
esrj-75821	211	2	tanh	tanh	PROPN
esrj-75821	211	3	axon	axon	NOUN
esrj-75821	211	4	0.45	0.45	NUM
esrj-75821	211	5	178	178	NUM
esrj-75821	211	6	0.56	0.56	NUM
esrj-75821	211	7	167	167	NUM
esrj-75821	211	8	sigmoid	sigmoid	NOUN
esrj-75821	211	9	axon	axon	NOUN
esrj-75821	211	10	0.51	0.51	NUM
esrj-75821	211	11	166	166	NUM
esrj-75821	211	12	0.44	0.44	NUM
esrj-75821	211	13	275	275	NUM
esrj-75821	211	14	mo	mo	PROPN
esrj-75821	211	15	tanh	tanh	PROPN
esrj-75821	211	16	axon	axon	NOUN
esrj-75821	211	17	0.46	0.46	NUM
esrj-75821	211	18	171	171	NUM
esrj-75821	211	19	0.44	0.44	NUM
esrj-75821	211	20	288	288	NUM
esrj-75821	211	21	sigmoid	sigmoid	NOUN
esrj-75821	211	22	axon	axon	NOUN
esrj-75821	211	23	0.04	0.04	NUM
esrj-75821	211	24	205	205	NUM
esrj-75821	211	25	0.044	0.044	NUM
esrj-75821	211	26	212	212	NUM
esrj-75821	211	27	cg	cg	NOUN
esrj-75821	211	28	tanh	tanh	NOUN
esrj-75821	211	29	axon	axon	NOUN
esrj-75821	211	30	0.44	0.44	NUM
esrj-75821	211	31	208.9	208.9	NUM
esrj-75821	211	32	0.43	0.43	NUM
esrj-75821	211	33	209.8	209.8	NUM
esrj-75821	211	34	sigmoid	sigmoid	NOUN
esrj-75821	211	35	axon	axon	NOUN
esrj-75821	211	36	0.06	0.06	NUM
esrj-75821	211	37	255	255	NUM
esrj-75821	211	38	0.1	0.1	NUM
esrj-75821	211	39	210	210	NUM
esrj-75821	211	40	table	table	NOUN
esrj-75821	211	41	3	3	NUM
esrj-75821	211	42	.	.	PUNCT
esrj-75821	211	43	comparison	comparison	NOUN
esrj-75821	211	44	of	of	ADP
esrj-75821	211	45	two	two	NUM
esrj-75821	211	46	anfis	anfis	ADJ
esrj-75821	211	47	models	model	NOUN
esrj-75821	211	48	developed	develop	VERB
esrj-75821	211	49	in	in	ADP
esrj-75821	211	50	training	training	NOUN
esrj-75821	211	51	and	and	CCONJ
esrj-75821	211	52	testing	testing	NOUN
esrj-75821	211	53	stages	stage	NOUN
esrj-75821	211	54	.	.	PUNCT
esrj-75821	212	1	fuzzy	fuzzy	ADJ
esrj-75821	212	2	model	model	NOUN
esrj-75821	212	3	learning	learn	VERB
esrj-75821	212	4	rule	rule	NOUN
esrj-75821	212	5	transfer	transfer	NOUN
esrj-75821	212	6	train	train	NOUN
esrj-75821	212	7	test	test	NOUN
esrj-75821	212	8	r2	r2	PROPN
esrj-75821	212	9	mse	mse	PROPN
esrj-75821	212	10	r2	r2	PROPN
esrj-75821	212	11	mse	mse	PROPN
esrj-75821	212	12	takagisugenokang	takagisugenokang	PROPN
esrj-75821	212	13	mo	mo	PROPN
esrj-75821	212	14	tanh	tanh	PROPN
esrj-75821	212	15	axon	axon	VERB
esrj-75821	212	16	0.09	0.09	NUM
esrj-75821	212	17	712	712	NUM
esrj-75821	212	18	0.085	0.085	NUM
esrj-75821	212	19	765	765	NUM
esrj-75821	212	20	sigmoid	sigmoid	NOUN
esrj-75821	212	21	axon	axon	NOUN
esrj-75821	212	22	-0	-0	PUNCT
esrj-75821	212	23	.	.	PROPN
esrj-75821	212	24	12	12	NUM
esrj-75821	212	25	850	850	NUM
esrj-75821	212	26	-0.11	-0.11	NUM
esrj-75821	212	27	886.4	886.4	NUM
esrj-75821	212	28	cg	cg	NOUN
esrj-75821	212	29	tanh	tanh	NOUN
esrj-75821	212	30	axon	axon	NOUN
esrj-75821	212	31	-0.002	-0.002	PUNCT
esrj-75821	212	32	908.4	908.4	NUM
esrj-75821	212	33	-0.001	-0.001	NUM
esrj-75821	212	34	915.6	915.6	NUM
esrj-75821	212	35	sigmoid	sigmoid	NOUN
esrj-75821	212	36	axon	axon	NOUN
esrj-75821	213	1	0.51	0.51	NUM
esrj-75821	213	2	248.6	248.6	NUM
esrj-75821	213	3	0.49	0.49	NUM
esrj-75821	213	4	266.7	266.7	NUM
esrj-75821	213	5	lm	lm	NOUN
esrj-75821	213	6	tanh	tanh	PROPN
esrj-75821	213	7	axon	axon	NOUN
esrj-75821	213	8	0.44	0.44	NUM
esrj-75821	213	9	208.9	208.9	NUM
esrj-75821	213	10	0.43	0.43	NUM
esrj-75821	213	11	209.8	209.8	NUM
esrj-75821	213	12	sigmoid	sigmoid	NOUN
esrj-75821	213	13	axon	axon	NOUN
esrj-75821	213	14	0.38	0.38	NUM
esrj-75821	213	15	265.7	265.7	NUM
esrj-75821	213	16	0.36	0.36	NUM
esrj-75821	213	17	277.9	277.9	NUM
esrj-75821	213	18	t	t	NOUN
esrj-75821	213	19	sukamoto	sukamoto	PROPN
esrj-75821	213	20	mo	mo	PROPN
esrj-75821	213	21	tanh	tanh	PROPN
esrj-75821	213	22	axon	axon	VERB
esrj-75821	213	23	0.11	0.11	NUM
esrj-75821	213	24	828.01	828.01	NUM
esrj-75821	213	25	0.095	0.095	NUM
esrj-75821	213	26	911.05	911.05	NUM
esrj-75821	213	27	sigmoid	sigmoid	NOUN
esrj-75821	213	28	axon	axon	NOUN
esrj-75821	213	29	0.17	0.17	NUM
esrj-75821	213	30	625.1	625.1	NUM
esrj-75821	213	31	0.13	0.13	NUM
esrj-75821	213	32	711.2	711.2	NUM
esrj-75821	213	33	cg	cg	NOUN
esrj-75821	213	34	tanh	tanh	NOUN
esrj-75821	213	35	axon	axon	NOUN
esrj-75821	213	36	0.022	0.022	NUM
esrj-75821	213	37	3347	3347	NUM
esrj-75821	213	38	0.018	0.018	NUM
esrj-75821	213	39	3560	3560	NUM
esrj-75821	213	40	sigmoid	sigmoid	NOUN
esrj-75821	213	41	axon	axon	NOUN
esrj-75821	213	42	0.58	0.58	NUM
esrj-75821	213	43	95.1	95.1	NUM
esrj-75821	213	44	0.571	0.571	NUM
esrj-75821	213	45	102.6	102.6	NUM
esrj-75821	213	46	lm	lm	NOUN
esrj-75821	213	47	tanh	tanh	PROPN
esrj-75821	213	48	axon	axon	VERB
esrj-75821	213	49	0.793	0.793	NUM
esrj-75821	213	50	64.3	64.3	NUM
esrj-75821	213	51	0.786	0.786	NUM
esrj-75821	213	52	66.7	66.7	NUM
esrj-75821	213	53	sigmoid	sigmoid	NOUN
esrj-75821	213	54	axon	axon	NOUN
esrj-75821	213	55	0.52	0.52	NUM
esrj-75821	213	56	110	110	NUM
esrj-75821	213	57	0.51	0.51	NUM
esrj-75821	213	58	115.5	115.5	NUM
esrj-75821	213	59	table	table	NOUN
esrj-75821	213	60	4	4	NUM
esrj-75821	213	61	.	.	PUNCT
esrj-75821	213	62	comparison	comparison	NOUN
esrj-75821	213	63	of	of	ADP
esrj-75821	213	64	five	five	NUM
esrj-75821	213	65	components	component	NOUN
esrj-75821	213	66	developed	develop	VERB
esrj-75821	213	67	by	by	ADP
esrj-75821	213	68	plsr	plsr	PROPN
esrj-75821	213	69	methods	method	NOUN
esrj-75821	213	70	.	.	PUNCT
esrj-75821	214	1	components	component	NOUN
esrj-75821	214	2	x	x	SYM
esrj-75821	214	3	variance	variance	NOUN
esrj-75821	214	4	mse	mse	PROPN
esrj-75821	214	5	r2	r2	PROPN
esrj-75821	214	6	1	1	NUM
esrj-75821	214	7	0.348	0.348	NUM
esrj-75821	214	8	758.7	758.7	NUM
esrj-75821	214	9	0.126	0.126	NUM
esrj-75821	214	10	2	2	NUM
esrj-75821	214	11	0.782	0.782	NUM
esrj-75821	214	12	746.5	746.5	NUM
esrj-75821	214	13	0.141	0.141	NUM
esrj-75821	214	14	3	3	NUM
esrj-75821	214	15	0.802	0.802	NUM
esrj-75821	214	16	706.8	706.8	NUM
esrj-75821	214	17	0.185	0.185	NUM
esrj-75821	214	18	4	4	NUM
esrj-75821	214	19	0.996	0.996	NUM
esrj-75821	214	20	705.5	705.5	NUM
esrj-75821	214	21	0.187	0.187	NUM
esrj-75821	214	22	5	5	NUM
esrj-75821	214	23	1	1	NUM
esrj-75821	214	24	693.4	693.4	NUM
esrj-75821	214	25	0.199	0.199	NUM
esrj-75821	214	26	358	358	NUM
esrj-75821	214	27	vahid	vahid	PROPN
esrj-75821	214	28	habibi	habibi	PROPN
esrj-75821	214	29	,	,	PUNCT
esrj-75821	214	30	hassan	hassan	PROPN
esrj-75821	214	31	ahmadi	ahmadi	PROPN
esrj-75821	214	32	,	,	PUNCT
esrj-75821	214	33	mohammad	mohammad	PROPN
esrj-75821	214	34	jaffari	jaffari	PROPN
esrj-75821	214	35	,	,	PUNCT
esrj-75821	214	36	abolfazl	abolfazl	VERB
esrj-75821	214	37	moein	moein	ADJ
esrj-75821	214	38	table	table	NOUN
esrj-75821	214	39	5	5	NUM
esrj-75821	214	40	shows	show	VERB
esrj-75821	214	41	the	the	DET
esrj-75821	214	42	comparison	comparison	NOUN
esrj-75821	214	43	of	of	ADP
esrj-75821	214	44	three	three	NUM
esrj-75821	214	45	methods	method	NOUN
esrj-75821	214	46	where	where	SCONJ
esrj-75821	214	47	ann	ann	PROPN
esrj-75821	214	48	had	have	VERB
esrj-75821	214	49	the	the	DET
esrj-75821	214	50	highest	high	ADJ
esrj-75821	214	51	functionality	functionality	NOUN
esrj-75821	214	52	of	of	ADP
esrj-75821	214	53	predicting	predict	VERB
esrj-75821	214	54	groundwater	groundwater	NOUN
esrj-75821	214	55	level	level	NOUN
esrj-75821	214	56	in	in	ADP
esrj-75821	214	57	sharif	sharif	PROPN
esrj-75821	214	58	abad	abad	PROPN
esrj-75821	214	59	watershed	watershed	PROPN
esrj-75821	214	60	.	.	PUNCT
esrj-75821	215	1	figure	figure	NOUN
esrj-75821	215	2	6	6	NUM
esrj-75821	215	3	shows	show	NOUN
esrj-75821	215	4	scatter	scatter	NOUN
esrj-75821	215	5	plots	plot	NOUN
esrj-75821	215	6	of	of	ADP
esrj-75821	215	7	the	the	DET
esrj-75821	215	8	observed	observe	VERB
esrj-75821	215	9	and	and	CCONJ
esrj-75821	215	10	estimated	estimated	ADJ
esrj-75821	215	11	water	water	NOUN
esrj-75821	215	12	levels	level	NOUN
esrj-75821	215	13	at	at	ADP
esrj-75821	215	14	training	training	NOUN
esrj-75821	215	15	period	period	NOUN
esrj-75821	215	16	with	with	ADP
esrj-75821	215	17	selected	select	VERB
esrj-75821	215	18	of	of	ADP
esrj-75821	215	19	three	three	NUM
esrj-75821	215	20	evaluated	evaluated	ADJ
esrj-75821	215	21	models	model	NOUN
esrj-75821	215	22	.	.	PUNCT
esrj-75821	216	1	also	also	ADV
esrj-75821	216	2	,	,	PUNCT
esrj-75821	216	3	figure	figure	VERB
esrj-75821	216	4	7	7	NUM
esrj-75821	216	5	shows	show	VERB
esrj-75821	216	6	that	that	SCONJ
esrj-75821	216	7	ann	ann	PROPN
esrj-75821	216	8	worked	work	VERB
esrj-75821	216	9	relatively	relatively	ADV
esrj-75821	216	10	better	well	ADV
esrj-75821	216	11	than	than	SCONJ
esrj-75821	216	12	anfis	anfis	ADJ
esrj-75821	216	13	and	and	CCONJ
esrj-75821	216	14	plsr	plsr	NOUN
esrj-75821	216	15	.	.	PUNCT
esrj-75821	217	1	the	the	DET
esrj-75821	217	2	plsr	plsr	PROPN
esrj-75821	217	3	model	model	NOUN
esrj-75821	217	4	had	have	VERB
esrj-75821	217	5	the	the	DET
esrj-75821	217	6	smallest	small	ADJ
esrj-75821	217	7	auc	auc	NOUN
esrj-75821	217	8	.	.	PUNCT
esrj-75821	218	1	the	the	DET
esrj-75821	218	2	auc	auc	NOUN
esrj-75821	218	3	evaluates	evaluate	VERB
esrj-75821	218	4	a	a	DET
esrj-75821	218	5	given	give	VERB
esrj-75821	218	6	classification	classification	NOUN
esrj-75821	218	7	model	model	NOUN
esrj-75821	218	8	with	with	ADP
esrj-75821	218	9	no	no	DET
esrj-75821	218	10	threshold	threshold	NOUN
esrj-75821	218	11	assumption	assumption	NOUN
esrj-75821	218	12	.	.	PUNCT
esrj-75821	219	1	roc	roc	PROPN
esrj-75821	219	2	curves	curve	NOUN
esrj-75821	219	3	are	be	AUX
esrj-75821	219	4	suitable	suitable	ADJ
esrj-75821	219	5	tools	tool	NOUN
esrj-75821	219	6	for	for	ADP
esrj-75821	219	7	comparing	compare	VERB
esrj-75821	219	8	classifiers	classifier	NOUN
esrj-75821	219	9	where	where	SCONJ
esrj-75821	219	10	there	there	PRON
esrj-75821	219	11	is	be	VERB
esrj-75821	219	12	no	no	DET
esrj-75821	219	13	information	information	NOUN
esrj-75821	219	14	about	about	ADP
esrj-75821	219	15	misclassification	misclassification	NOUN
esrj-75821	219	16	water	water	NOUN
esrj-75821	219	17	level	level	NOUN
esrj-75821	219	18	.	.	PUNCT
esrj-75821	220	1	here	here	ADV
esrj-75821	220	2	,	,	PUNCT
esrj-75821	220	3	we	we	PRON
esrj-75821	220	4	interpret	interpret	VERB
esrj-75821	220	5	the	the	DET
esrj-75821	220	6	most	most	ADV
esrj-75821	220	7	important	important	ADJ
esrj-75821	220	8	input	input	NOUN
esrj-75821	220	9	parameters	parameter	NOUN
esrj-75821	220	10	of	of	ADP
esrj-75821	220	11	this	this	DET
esrj-75821	220	12	technique	technique	NOUN
esrj-75821	220	13	in	in	ADP
esrj-75821	220	14	groundwater	groundwater	NOUN
esrj-75821	220	15	level	level	NOUN
esrj-75821	220	16	modeling	modeling	NOUN
esrj-75821	220	17	.	.	PUNCT
esrj-75821	221	1	this	this	DET
esrj-75821	221	2	diagram	diagram	NOUN
esrj-75821	221	3	shows	show	VERB
esrj-75821	221	4	the	the	DET
esrj-75821	221	5	importance	importance	NOUN
esrj-75821	221	6	of	of	ADP
esrj-75821	221	7	latitude	latitude	NOUN
esrj-75821	221	8	and	and	CCONJ
esrj-75821	221	9	longitude	longitude	VERB
esrj-75821	221	10	in	in	ADP
esrj-75821	221	11	groundwater	groundwater	NOUN
esrj-75821	221	12	level	level	NOUN
esrj-75821	221	13	modelling	modelling	NOUN
esrj-75821	221	14	(	(	PUNCT
esrj-75821	221	15	fig	fig	NOUN
esrj-75821	221	16	.	.	PUNCT
esrj-75821	222	1	8)	8)	NUM
esrj-75821	222	2	.	.	PUNCT
esrj-75821	222	3	table	table	NOUN
esrj-75821	222	4	5	5	NUM
esrj-75821	222	5	.	.	PUNCT
esrj-75821	222	6	comparison	comparison	NOUN
esrj-75821	222	7	of	of	ADP
esrj-75821	222	8	three	three	NUM
esrj-75821	222	9	methods	method	NOUN
esrj-75821	222	10	for	for	ADP
esrj-75821	222	11	the	the	DET
esrj-75821	222	12	prediction	prediction	NOUN
esrj-75821	222	13	of	of	ADP
esrj-75821	222	14	g.w.l	g.w.l	NOUN
esrj-75821	222	15	model	model	NOUN
esrj-75821	222	16	the	the	DET
esrj-75821	222	17	best	good	ADJ
esrj-75821	222	18	algorithm	algorithm	NOUN
esrj-75821	222	19	/	/	SYM
esrj-75821	222	20	component	component	NOUN
esrj-75821	222	21	r2	r2	PROPN
esrj-75821	222	22	mse	mse	PROPN
esrj-75821	222	23	ann	ann	PROPN
esrj-75821	222	24	mlp	mlp	PROPN
esrj-75821	222	25	,	,	PUNCT
esrj-75821	222	26	lm	lm	PROPN
esrj-75821	222	27	,	,	PUNCT
esrj-75821	222	28	sigmoiedaxon	sigmoiedaxon	VERB
esrj-75821	222	29	0.963	0.963	NUM
esrj-75821	222	30	7.15	7.15	NUM
esrj-75821	222	31	anfis	anfi	VERB
esrj-75821	222	32	tsukamoto	tsukamoto	NOUN
esrj-75821	222	33	,	,	PUNCT
esrj-75821	222	34	lm	lm	PROPN
esrj-75821	222	35	,	,	PUNCT
esrj-75821	222	36	tanh	tanh	PROPN
esrj-75821	222	37	axon	axon	VERB
esrj-75821	222	38	0.793	0.793	NUM
esrj-75821	222	39	64.3	64.3	NUM
esrj-75821	222	40	plsr	plsr	NOUN
esrj-75821	222	41	5	5	NUM
esrj-75821	222	42	th	th	NOUN
esrj-75821	222	43	component	component	NOUN
esrj-75821	222	44	0.199	0.199	NUM
esrj-75821	222	45	693.4	693.4	NUM
esrj-75821	222	46	after	after	ADP
esrj-75821	222	47	finding	find	VERB
esrj-75821	222	48	the	the	DET
esrj-75821	222	49	optimal	optimal	ADJ
esrj-75821	222	50	model	model	NOUN
esrj-75821	222	51	,	,	PUNCT
esrj-75821	222	52	the	the	DET
esrj-75821	222	53	groundwater	groundwater	NOUN
esrj-75821	222	54	level	level	NOUN
esrj-75821	222	55	of	of	ADP
esrj-75821	222	56	24	24	NUM
esrj-75821	222	57	piezometric	piezometric	ADJ
esrj-75821	222	58	wells	well	NOUN
esrj-75821	222	59	in	in	ADP
esrj-75821	222	60	2025	2025	NUM
esrj-75821	222	61	was	be	AUX
esrj-75821	222	62	determined	determine	VERB
esrj-75821	222	63	.	.	PUNCT
esrj-75821	223	1	then	then	ADV
esrj-75821	223	2	,	,	PUNCT
esrj-75821	223	3	the	the	DET
esrj-75821	223	4	groundwater	groundwater	NOUN
esrj-75821	223	5	level	level	NOUN
esrj-75821	223	6	was	be	AUX
esrj-75821	223	7	mapped	map	VERB
esrj-75821	223	8	via	via	ADP
esrj-75821	223	9	ordinary	ordinary	ADJ
esrj-75821	223	10	kriging	kriging	NOUN
esrj-75821	223	11	.	.	PUNCT
esrj-75821	224	1	using	use	VERB
esrj-75821	224	2	the	the	DET
esrj-75821	224	3	groundwater	groundwater	NOUN
esrj-75821	224	4	level	level	NOUN
esrj-75821	224	5	map	map	NOUN
esrj-75821	224	6	in	in	ADP
esrj-75821	224	7	2025	2025	NUM
esrj-75821	224	8	,	,	PUNCT
esrj-75821	224	9	and	and	CCONJ
esrj-75821	224	10	table1	table1	PROPN
esrj-75821	224	11	,	,	PUNCT
esrj-75821	224	12	we	we	PRON
esrj-75821	224	13	determined	determine	VERB
esrj-75821	224	14	the	the	DET
esrj-75821	224	15	degraded	degraded	ADJ
esrj-75821	224	16	regions	region	NOUN
esrj-75821	224	17	and	and	CCONJ
esrj-75821	224	18	depleted	depleted	ADJ
esrj-75821	224	19	groundwater	groundwater	NOUN
esrj-75821	224	20	points	point	NOUN
esrj-75821	224	21	.	.	PUNCT
esrj-75821	225	1	figure	figure	NOUN
esrj-75821	225	2	8	8	NUM
esrj-75821	225	3	and	and	CCONJ
esrj-75821	225	4	table	table	NOUN
esrj-75821	225	5	6	6	NUM
esrj-75821	225	6	both	both	PRON
esrj-75821	225	7	show	show	VERB
esrj-75821	225	8	the	the	DET
esrj-75821	225	9	land	land	NOUN
esrj-75821	225	10	degradation	degradation	NOUN
esrj-75821	225	11	of	of	ADP
esrj-75821	225	12	the	the	DET
esrj-75821	225	13	study	study	NOUN
esrj-75821	225	14	area	area	NOUN
esrj-75821	225	15	using	use	VERB
esrj-75821	225	16	groundwater	groundwater	NOUN
esrj-75821	225	17	criterion	criterion	NOUN
esrj-75821	225	18	.	.	PUNCT
esrj-75821	226	1	table	table	NOUN
esrj-75821	226	2	6	6	NUM
esrj-75821	226	3	.	.	PUNCT
esrj-75821	226	4	land	land	NOUN
esrj-75821	226	5	degraded	degraded	ADJ
esrj-75821	226	6	area	area	NOUN
esrj-75821	226	7	based	base	VERB
esrj-75821	226	8	on	on	ADP
esrj-75821	226	9	gwl	gwl	PROPN
esrj-75821	226	10	index	index	NOUN
esrj-75821	226	11	in	in	ADP
esrj-75821	226	12	the	the	DET
esrj-75821	226	13	study	study	NOUN
esrj-75821	226	14	area	area	NOUN
esrj-75821	226	15	since	since	SCONJ
esrj-75821	226	16	2002	2002	NUM
esrj-75821	226	17	-	-	SYM
esrj-75821	226	18	2016	2016	NUM
esrj-75821	226	19	land	land	NOUN
esrj-75821	226	20	degradation	degradation	NOUN
esrj-75821	226	21	risk	risk	NOUN
esrj-75821	226	22	2002	2002	NUM
esrj-75821	226	23	-	-	SYM
esrj-75821	226	24	2003	2003	NUM
esrj-75821	226	25	2009	2009	NUM
esrj-75821	226	26	-	-	SYM
esrj-75821	226	27	2010	2010	NUM
esrj-75821	226	28	2015	2015	NUM
esrj-75821	226	29	-	-	SYM
esrj-75821	226	30	2016	2016	NUM
esrj-75821	226	31	predicted	predict	VERB
esrj-75821	226	32	year	year	NOUN
esrj-75821	226	33	low	low	ADJ
esrj-75821	226	34	38030	38030	NUM
esrj-75821	226	35	moderate	moderate	ADJ
esrj-75821	226	36	386	386	NUM
esrj-75821	226	37	high	high	ADJ
esrj-75821	226	38	793	793	NUM
esrj-75821	226	39	2032	2032	NUM
esrj-75821	226	40	1581	1581	NUM
esrj-75821	226	41	severe	severe	ADJ
esrj-75821	226	42	57578	57578	NUM
esrj-75821	226	43	94755	94755	NUM
esrj-75821	226	44	95206	95206	NUM
esrj-75821	226	45	96787	96787	NUM
esrj-75821	226	46	total	total	ADJ
esrj-75821	226	47	area	area	NOUN
esrj-75821	226	48	(	(	PUNCT
esrj-75821	226	49	ha	ha	INTJ
esrj-75821	226	50	)	)	PUNCT
esrj-75821	226	51	96787	96787	NUM
esrj-75821	226	52	96787	96787	NUM
esrj-75821	226	53	96787	96787	NUM
esrj-75821	226	54	96787	96787	NUM
esrj-75821	226	55	figure	figure	NOUN
esrj-75821	226	56	6	6	NUM
esrj-75821	226	57	.	.	PUNCT
esrj-75821	227	1	scatter	scatter	NOUN
esrj-75821	227	2	plots	plot	NOUN
esrj-75821	227	3	of	of	ADP
esrj-75821	227	4	the	the	DET
esrj-75821	227	5	observed	observe	VERB
esrj-75821	227	6	and	and	CCONJ
esrj-75821	227	7	estimated	estimated	ADJ
esrj-75821	227	8	water	water	NOUN
esrj-75821	227	9	levels	level	NOUN
esrj-75821	227	10	at	at	ADP
esrj-75821	227	11	training	training	NOUN
esrj-75821	227	12	period	period	NOUN
esrj-75821	227	13	.	.	PUNCT
esrj-75821	228	1	ann	ann	PROPN
esrj-75821	228	2	(	(	PUNCT
esrj-75821	228	3	a	a	PROPN
esrj-75821	228	4	)	)	PUNCT
esrj-75821	228	5	,	,	PUNCT
esrj-75821	228	6	anfis	anfis	PROPN
esrj-75821	228	7	(	(	PUNCT
esrj-75821	228	8	b	b	NOUN
esrj-75821	228	9	)	)	PUNCT
esrj-75821	228	10	,	,	PUNCT
esrj-75821	228	11	plsr(c	plsr(c	ADJ
esrj-75821	228	12	)	)	PUNCT
esrj-75821	228	13	figure	figure	NOUN
esrj-75821	228	14	7	7	NUM
esrj-75821	228	15	.	.	PUNCT
esrj-75821	229	1	roc	roc	PROPN
esrj-75821	229	2	curves	curve	NOUN
esrj-75821	229	3	for	for	ADP
esrj-75821	229	4	ann	ann	PROPN
esrj-75821	229	5	,	,	PUNCT
esrj-75821	229	6	anfis	anfi	VERB
esrj-75821	229	7	and	and	CCONJ
esrj-75821	229	8	plsr(c	plsr(c	ADJ
esrj-75821	229	9	)	)	PUNCT
esrj-75821	229	10	figure	figure	NOUN
esrj-75821	229	11	8	8	NUM
esrj-75821	229	12	.	.	PUNCT
esrj-75821	230	1	diagram	diagram	NOUN
esrj-75821	230	2	of	of	ADP
esrj-75821	230	3	importance	importance	NOUN
esrj-75821	230	4	input	input	NOUN
esrj-75821	230	5	factors	factor	NOUN
esrj-75821	230	6	for	for	ADP
esrj-75821	230	7	modeling	modeling	NOUN
esrj-75821	230	8	of	of	ADP
esrj-75821	230	9	groundwater	groundwater	NOUN
esrj-75821	230	10	level	level	NOUN
esrj-75821	230	11	359prediction	359prediction	PROPN
esrj-75821	230	12	of	of	ADP
esrj-75821	230	13	land	land	NOUN
esrj-75821	230	14	degradation	degradation	NOUN
esrj-75821	230	15	by	by	ADP
esrj-75821	230	16	machine	machine	NOUN
esrj-75821	230	17	learning	learning	NOUN
esrj-75821	230	18	methods	method	NOUN
esrj-75821	230	19	:	:	PUNCT
esrj-75821	230	20	a	a	DET
esrj-75821	230	21	case	case	NOUN
esrj-75821	230	22	study	study	NOUN
esrj-75821	230	23	from	from	ADP
esrj-75821	230	24	sharifabad	sharifabad	PROPN
esrj-75821	230	25	watershed	watershed	PROPN
esrj-75821	230	26	,	,	PUNCT
esrj-75821	230	27	central	central	ADJ
esrj-75821	230	28	iran	iran	PROPN
esrj-75821	230	29	as	as	SCONJ
esrj-75821	230	30	it	it	PRON
esrj-75821	230	31	can	can	AUX
esrj-75821	230	32	be	be	AUX
esrj-75821	230	33	seen	see	VERB
esrj-75821	230	34	from	from	ADP
esrj-75821	230	35	table	table	NOUN
esrj-75821	230	36	6	6	NUM
esrj-75821	230	37	and	and	CCONJ
esrj-75821	230	38	figure	figure	VERB
esrj-75821	230	39	9	9	NUM
esrj-75821	230	40	,	,	PUNCT
esrj-75821	230	41	between	between	ADP
esrj-75821	230	42	2002	2002	NUM
esrj-75821	230	43	and	and	CCONJ
esrj-75821	230	44	2003	2003	NUM
esrj-75821	230	45	,	,	PUNCT
esrj-75821	230	46	around	around	ADV
esrj-75821	230	47	59.4	59.4	NUM
esrj-75821	230	48	%	%	NOUN
esrj-75821	230	49	of	of	ADP
esrj-75821	230	50	the	the	DET
esrj-75821	230	51	area	area	NOUN
esrj-75821	230	52	is	be	AUX
esrj-75821	230	53	in	in	ADP
esrj-75821	230	54	critical	critical	ADJ
esrj-75821	230	55	condition	condition	NOUN
esrj-75821	230	56	of	of	ADP
esrj-75821	230	57	desertification	desertification	NOUN
esrj-75821	230	58	,	,	PUNCT
esrj-75821	230	59	around	around	ADV
esrj-75821	230	60	39	39	NUM
esrj-75821	230	61	%	%	NOUN
esrj-75821	230	62	and	and	CCONJ
esrj-75821	230	63	less	less	ADJ
esrj-75821	230	64	than	than	ADP
esrj-75821	230	65	1	1	NUM
esrj-75821	230	66	%	%	NOUN
esrj-75821	230	67	has	have	VERB
esrj-75821	230	68	normal	normal	ADJ
esrj-75821	230	69	and	and	CCONJ
esrj-75821	230	70	moderate	moderate	ADJ
esrj-75821	230	71	condition	condition	NOUN
esrj-75821	230	72	respectively	respectively	ADV
esrj-75821	230	73	.	.	PUNCT
esrj-75821	231	1	while	while	SCONJ
esrj-75821	231	2	in	in	ADP
esrj-75821	231	3	the	the	DET
esrj-75821	231	4	predicted	predict	VERB
esrj-75821	231	5	year	year	NOUN
esrj-75821	231	6	,	,	PUNCT
esrj-75821	231	7	land	land	NOUN
esrj-75821	231	8	with	with	ADP
esrj-75821	231	9	a	a	DET
esrj-75821	231	10	potential	potential	ADJ
esrj-75821	231	11	desertification	desertification	NOUN
esrj-75821	231	12	in	in	ADP
esrj-75821	231	13	the	the	DET
esrj-75821	231	14	study	study	NOUN
esrj-75821	231	15	area	area	NOUN
esrj-75821	231	16	has	have	AUX
esrj-75821	231	17	increased	increase	VERB
esrj-75821	231	18	by	by	ADP
esrj-75821	231	19	100	100	NUM
esrj-75821	231	20	%	%	NOUN
esrj-75821	231	21	(	(	PUNCT
esrj-75821	231	22	table	table	NOUN
esrj-75821	231	23	6	6	NUM
esrj-75821	231	24	and	and	CCONJ
esrj-75821	231	25	fig	fig	NOUN
esrj-75821	231	26	.	.	PUNCT
esrj-75821	232	1	8)	8)	NUM
esrj-75821	232	2	.	.	PUNCT
esrj-75821	233	1	after	after	ADP
esrj-75821	233	2	finding	find	VERB
esrj-75821	233	3	the	the	DET
esrj-75821	233	4	optimal	optimal	ADJ
esrj-75821	233	5	model	model	NOUN
esrj-75821	233	6	,	,	PUNCT
esrj-75821	233	7	the	the	DET
esrj-75821	233	8	groundwater	groundwater	NOUN
esrj-75821	233	9	level	level	NOUN
esrj-75821	233	10	of	of	ADP
esrj-75821	233	11	24	24	NUM
esrj-75821	233	12	piezometric	piezometric	ADJ
esrj-75821	233	13	wells	well	NOUN
esrj-75821	233	14	in	in	ADP
esrj-75821	233	15	2025	2025	NUM
esrj-75821	233	16	was	be	AUX
esrj-75821	233	17	determined	determine	VERB
esrj-75821	233	18	.	.	PUNCT
esrj-75821	234	1	then	then	ADV
esrj-75821	234	2	,	,	PUNCT
esrj-75821	234	3	using	use	VERB
esrj-75821	234	4	ordinary	ordinary	ADJ
esrj-75821	234	5	kriging	kriging	NOUN
esrj-75821	234	6	,	,	PUNCT
esrj-75821	234	7	the	the	DET
esrj-75821	234	8	groundwater	groundwater	NOUN
esrj-75821	234	9	level	level	NOUN
esrj-75821	234	10	was	be	AUX
esrj-75821	234	11	mapped	map	VERB
esrj-75821	234	12	(	(	PUNCT
esrj-75821	234	13	fig	fig	NOUN
esrj-75821	234	14	.	.	PUNCT
esrj-75821	234	15	10	10	NUM
esrj-75821	234	16	)	)	PUNCT
esrj-75821	234	17	.	.	PUNCT
esrj-75821	235	1	figure	figure	VERB
esrj-75821	235	2	9	9	NUM
esrj-75821	235	3	.	.	PUNCT
esrj-75821	235	4	percentage	percentage	NOUN
esrj-75821	235	5	of	of	ADP
esrj-75821	235	6	degraded	degraded	ADJ
esrj-75821	235	7	land	land	NOUN
esrj-75821	235	8	based	base	VERB
esrj-75821	235	9	on	on	ADP
esrj-75821	235	10	groundwater	groundwater	NOUN
esrj-75821	235	11	index	index	NOUN
esrj-75821	235	12	from	from	ADP
esrj-75821	235	13	2002	2002	NUM
esrj-75821	235	14	to	to	ADP
esrj-75821	235	15	2016	2016	NUM
esrj-75821	235	16	figure	figure	NOUN
esrj-75821	235	17	10	10	NUM
esrj-75821	235	18	.	.	PUNCT
esrj-75821	236	1	land	land	NOUN
esrj-75821	236	2	degradation	degradation	NOUN
esrj-75821	236	3	map	map	NOUN
esrj-75821	236	4	based	base	VERB
esrj-75821	236	5	on	on	ADP
esrj-75821	236	6	groundwater	groundwater	NOUN
esrj-75821	236	7	level	level	NOUN
esrj-75821	236	8	in	in	ADP
esrj-75821	236	9	april	april	PROPN
esrj-75821	236	10	in	in	ADP
esrj-75821	236	11	different	different	ADJ
esrj-75821	236	12	years	year	NOUN
esrj-75821	236	13	(	(	PUNCT
esrj-75821	236	14	a	a	X
esrj-75821	236	15	)	)	PUNCT
esrj-75821	236	16	2002	2002	NUM
esrj-75821	236	17	-	-	SYM
esrj-75821	236	18	2003	2003	NUM
esrj-75821	236	19	(	(	PUNCT
esrj-75821	236	20	b	b	NOUN
esrj-75821	236	21	)	)	PUNCT
esrj-75821	236	22	2009	2009	NUM
esrj-75821	236	23	-	-	SYM
esrj-75821	236	24	2010	2010	NUM
esrj-75821	236	25	,	,	PUNCT
esrj-75821	236	26	(	(	PUNCT
esrj-75821	236	27	c	c	NOUN
esrj-75821	236	28	)	)	PUNCT
esrj-75821	236	29	2015	2015	NUM
esrj-75821	236	30	-	-	SYM
esrj-75821	236	31	2016	2016	NUM
esrj-75821	236	32	,	,	PUNCT
esrj-75821	236	33	(	(	PUNCT
esrj-75821	236	34	d	d	X
esrj-75821	236	35	)	)	PUNCT
esrj-75821	236	36	predicted	predict	VERB
esrj-75821	236	37	year	year	NOUN
esrj-75821	236	38	2017	2017	NUM
esrj-75821	236	39	4	4	NUM
esrj-75821	236	40	.	.	PUNCT
esrj-75821	237	1	discussion	discussion	NOUN
esrj-75821	237	2	and	and	CCONJ
esrj-75821	237	3	conclusion	conclusion	NOUN
esrj-75821	237	4	land	land	NOUN
esrj-75821	237	5	degradation	degradation	NOUN
esrj-75821	237	6	as	as	ADP
esrj-75821	237	7	a	a	DET
esrj-75821	237	8	global	global	ADJ
esrj-75821	237	9	issue	issue	NOUN
esrj-75821	237	10	deserves	deserve	VERB
esrj-75821	237	11	more	more	ADJ
esrj-75821	237	12	attention	attention	NOUN
esrj-75821	237	13	.	.	PUNCT
esrj-75821	238	1	research	research	NOUN
esrj-75821	238	2	findings	finding	NOUN
esrj-75821	238	3	showed	show	VERB
esrj-75821	238	4	the	the	DET
esrj-75821	238	5	major	major	ADJ
esrj-75821	238	6	land	land	NOUN
esrj-75821	238	7	degradation	degradation	NOUN
esrj-75821	238	8	driving	driving	NOUN
esrj-75821	238	9	factors	factor	NOUN
esrj-75821	238	10	as	as	ADP
esrj-75821	238	11	altitude	altitude	NOUN
esrj-75821	238	12	,	,	PUNCT
esrj-75821	238	13	slope	slope	NOUN
esrj-75821	238	14	,	,	PUNCT
esrj-75821	238	15	vegetation	vegetation	NOUN
esrj-75821	238	16	index	index	NOUN
esrj-75821	238	17	,	,	PUNCT
esrj-75821	238	18	decline	decline	NOUN
esrj-75821	238	19	of	of	ADP
esrj-75821	238	20	vegetation	vegetation	NOUN
esrj-75821	238	21	index	index	NOUN
esrj-75821	238	22	,	,	PUNCT
esrj-75821	238	23	bare	bare	ADJ
esrj-75821	238	24	land	land	NOUN
esrj-75821	238	25	,	,	PUNCT
esrj-75821	238	26	mid	mid	ADJ
esrj-75821	238	27	-	-	NOUN
esrj-75821	238	28	slope	slope	NOUN
esrj-75821	238	29	position	position	NOUN
esrj-75821	238	30	,	,	PUNCT
esrj-75821	238	31	and	and	CCONJ
esrj-75821	238	32	depletion	depletion	NOUN
esrj-75821	238	33	of	of	ADP
esrj-75821	238	34	ground	ground	NOUN
esrj-75821	238	35	water	water	NOUN
esrj-75821	238	36	resources	resource	NOUN
esrj-75821	238	37	.	.	PUNCT
esrj-75821	239	1	spatial	spatial	ADJ
esrj-75821	239	2	and	and	CCONJ
esrj-75821	239	3	temporal	temporal	ADJ
esrj-75821	239	4	prediction	prediction	NOUN
esrj-75821	239	5	of	of	ADP
esrj-75821	239	6	groundwater	groundwater	NOUN
esrj-75821	239	7	level	level	NOUN
esrj-75821	239	8	changes	change	NOUN
esrj-75821	239	9	provides	provide	VERB
esrj-75821	239	10	useful	useful	ADJ
esrj-75821	239	11	information	information	NOUN
esrj-75821	239	12	for	for	ADP
esrj-75821	239	13	wise	wise	ADJ
esrj-75821	239	14	management	management	NOUN
esrj-75821	239	15	and	and	CCONJ
esrj-75821	239	16	sustainable	sustainable	ADJ
esrj-75821	239	17	development	development	NOUN
esrj-75821	239	18	.	.	PUNCT
esrj-75821	240	1	in	in	ADP
esrj-75821	240	2	this	this	DET
esrj-75821	240	3	research	research	NOUN
esrj-75821	240	4	,	,	PUNCT
esrj-75821	240	5	the	the	DET
esrj-75821	240	6	groundwater	groundwater	NOUN
esrj-75821	240	7	level	level	NOUN
esrj-75821	240	8	was	be	AUX
esrj-75821	240	9	predicted	predict	VERB
esrj-75821	240	10	using	use	VERB
esrj-75821	240	11	three	three	NUM
esrj-75821	240	12	models	model	NOUN
esrj-75821	240	13	ann	ann	PROPN
esrj-75821	240	14	,	,	PUNCT
esrj-75821	240	15	anfis	anfis	ADJ
esrj-75821	240	16	,	,	PUNCT
esrj-75821	240	17	and	and	CCONJ
esrj-75821	240	18	plsr	plsr	NOUN
esrj-75821	240	19	,	,	PUNCT
esrj-75821	240	20	where	where	SCONJ
esrj-75821	240	21	the	the	DET
esrj-75821	240	22	available	available	ADJ
esrj-75821	240	23	parameters	parameter	NOUN
esrj-75821	240	24	were	be	AUX
esrj-75821	240	25	used	use	VERB
esrj-75821	240	26	as	as	ADP
esrj-75821	240	27	model	model	NOUN
esrj-75821	240	28	input	input	NOUN
esrj-75821	240	29	.	.	PUNCT
esrj-75821	241	1	the	the	DET
esrj-75821	241	2	coordinates	coordinate	NOUN
esrj-75821	241	3	of	of	ADP
esrj-75821	241	4	the	the	DET
esrj-75821	241	5	wells	well	NOUN
esrj-75821	241	6	being	be	AUX
esrj-75821	241	7	studied	study	VERB
esrj-75821	241	8	were	be	AUX
esrj-75821	241	9	used	use	VERB
esrj-75821	241	10	as	as	ADP
esrj-75821	241	11	two	two	NUM
esrj-75821	241	12	input	input	NOUN
esrj-75821	241	13	variables	variable	NOUN
esrj-75821	241	14	.	.	PUNCT
esrj-75821	242	1	we	we	PRON
esrj-75821	242	2	had	have	VERB
esrj-75821	242	3	a	a	DET
esrj-75821	242	4	different	different	ADJ
esrj-75821	242	5	response	response	NOUN
esrj-75821	242	6	variable	variable	NOUN
esrj-75821	242	7	in	in	ADP
esrj-75821	242	8	comparison	comparison	NOUN
esrj-75821	242	9	to	to	ADP
esrj-75821	242	10	the	the	DET
esrj-75821	242	11	research	research	NOUN
esrj-75821	242	12	made	make	VERB
esrj-75821	242	13	by	by	ADP
esrj-75821	242	14	jeihoni	jeihoni	PROPN
esrj-75821	242	15	et	et	PROPN
esrj-75821	242	16	al	al	PROPN
esrj-75821	242	17	(	(	PUNCT
esrj-75821	242	18	2015	2015	NUM
esrj-75821	242	19	)	)	PUNCT
esrj-75821	242	20	,	,	PUNCT
esrj-75821	242	21	but	but	CCONJ
esrj-75821	242	22	our	our	PRON
esrj-75821	242	23	results	result	NOUN
esrj-75821	242	24	also	also	ADV
esrj-75821	242	25	showed	show	VERB
esrj-75821	242	26	the	the	DET
esrj-75821	242	27	usefulness	usefulness	NOUN
esrj-75821	242	28	of	of	ADP
esrj-75821	242	29	ann	ann	PROPN
esrj-75821	242	30	like	like	SCONJ
esrj-75821	242	31	the	the	DET
esrj-75821	242	32	authors	author	NOUN
esrj-75821	242	33	stated	state	VERB
esrj-75821	242	34	.	.	PUNCT
esrj-75821	243	1	looking	look	VERB
esrj-75821	243	2	at	at	ADP
esrj-75821	243	3	the	the	DET
esrj-75821	243	4	statistical	statistical	ADJ
esrj-75821	243	5	indices	index	NOUN
esrj-75821	243	6	,	,	PUNCT
esrj-75821	243	7	we	we	PRON
esrj-75821	243	8	found	find	VERB
esrj-75821	243	9	that	that	SCONJ
esrj-75821	243	10	the	the	DET
esrj-75821	243	11	ann	ann	PROPN
esrj-75821	243	12	has	have	VERB
esrj-75821	243	13	the	the	DET
esrj-75821	243	14	highest	high	ADJ
esrj-75821	243	15	efficiency	efficiency	NOUN
esrj-75821	243	16	which	which	PRON
esrj-75821	243	17	agrees	agree	VERB
esrj-75821	243	18	with	with	ADP
esrj-75821	243	19	other	other	ADJ
esrj-75821	243	20	findings	finding	NOUN
esrj-75821	243	21	(	(	PUNCT
esrj-75821	243	22	khaki	khaki	PROPN
esrj-75821	243	23	et	et	PROPN
esrj-75821	243	24	al	al	PROPN
esrj-75821	243	25	.	.	PROPN
esrj-75821	243	26	,	,	PUNCT
esrj-75821	243	27	2015	2015	NUM
esrj-75821	243	28	;	;	PUNCT
esrj-75821	243	29	alizamir	alizamir	PROPN
esrj-75821	243	30	et	et	PROPN
esrj-75821	243	31	al	al	PROPN
esrj-75821	243	32	.	.	PROPN
esrj-75821	243	33	,	,	PUNCT
esrj-75821	243	34	2017	2017	NUM
esrj-75821	243	35	;	;	PUNCT
esrj-75821	243	36	alqadi	alqadi	PROPN
esrj-75821	243	37	et	et	PROPN
esrj-75821	243	38	al	al	PROPN
esrj-75821	243	39	.	.	PROPN
esrj-75821	243	40	2019	2019	NUM
esrj-75821	243	41	;	;	PUNCT
esrj-75821	243	42	sebghatiand	sebghatiand	PROPN
esrj-75821	243	43	gholami	gholami	NOUN
esrj-75821	243	44	,	,	PUNCT
esrj-75821	243	45	2019	2019	NUM
esrj-75821	243	46	;	;	PUNCT
esrj-75821	243	47	meshram	meshram	NOUN
esrj-75821	243	48	et	et	NOUN
esrj-75821	243	49	al.2020	al.2020	PROPN
esrj-75821	243	50	)	)	PUNCT
esrj-75821	243	51	.	.	PUNCT
esrj-75821	244	1	we	we	PRON
esrj-75821	244	2	combined	combine	VERB
esrj-75821	244	3	the	the	DET
esrj-75821	244	4	results	result	NOUN
esrj-75821	244	5	of	of	ADP
esrj-75821	244	6	ann	ann	PROPN
esrj-75821	244	7	with	with	ADP
esrj-75821	244	8	ordinary	ordinary	ADJ
esrj-75821	244	9	kriging	krige	VERB
esrj-75821	244	10	to	to	PART
esrj-75821	244	11	predict	predict	VERB
esrj-75821	244	12	groundwater	groundwater	NOUN
esrj-75821	244	13	condition	condition	NOUN
esrj-75821	244	14	map	map	NOUN
esrj-75821	244	15	.	.	PUNCT
esrj-75821	245	1	we	we	PRON
esrj-75821	245	2	also	also	ADV
esrj-75821	245	3	used	use	VERB
esrj-75821	245	4	latitude	latitude	NOUN
esrj-75821	245	5	and	and	CCONJ
esrj-75821	245	6	longitude	longitude	NOUN
esrj-75821	245	7	as	as	ADP
esrj-75821	245	8	input	input	NOUN
esrj-75821	245	9	variables	variable	NOUN
esrj-75821	245	10	which	which	PRON
esrj-75821	245	11	improved	improve	VERB
esrj-75821	245	12	the	the	DET
esrj-75821	245	13	model	model	NOUN
esrj-75821	245	14	.	.	PUNCT
esrj-75821	246	1	in	in	ADP
esrj-75821	246	2	addition	addition	NOUN
esrj-75821	246	3	to	to	ADP
esrj-75821	246	4	the	the	DET
esrj-75821	246	5	target	target	NOUN
esrj-75821	246	6	variable	variable	NOUN
esrj-75821	246	7	,	,	PUNCT
esrj-75821	246	8	latitude	latitude	NOUN
esrj-75821	246	9	and	and	CCONJ
esrj-75821	246	10	longitude	longitude	NOUN
esrj-75821	246	11	play	play	VERB
esrj-75821	246	12	important	important	ADJ
esrj-75821	246	13	roles	role	NOUN
esrj-75821	246	14	in	in	ADP
esrj-75821	246	15	ordinary	ordinary	ADJ
esrj-75821	246	16	kriging	kriging	NOUN
esrj-75821	246	17	and	and	CCONJ
esrj-75821	246	18	decreased	decrease	VERB
esrj-75821	246	19	the	the	DET
esrj-75821	246	20	total	total	ADJ
esrj-75821	246	21	error	error	NOUN
esrj-75821	246	22	of	of	ADP
esrj-75821	246	23	two	two	NUM
esrj-75821	246	24	combined	combined	ADJ
esrj-75821	246	25	models	model	NOUN
esrj-75821	246	26	.	.	PUNCT
esrj-75821	247	1	the	the	DET
esrj-75821	247	2	study	study	NOUN
esrj-75821	247	3	area	area	NOUN
esrj-75821	247	4	currently	currently	ADV
esrj-75821	247	5	suffers	suffer	VERB
esrj-75821	247	6	from	from	ADP
esrj-75821	247	7	intensive	intensive	ADJ
esrj-75821	247	8	farming	farming	NOUN
esrj-75821	247	9	such	such	ADJ
esrj-75821	247	10	as	as	ADP
esrj-75821	247	11	pistachio	pistachio	NOUN
esrj-75821	247	12	orchard	orchard	NOUN
esrj-75821	247	13	.	.	PUNCT
esrj-75821	248	1	our	our	PRON
esrj-75821	248	2	results	result	NOUN
esrj-75821	248	3	could	could	AUX
esrj-75821	248	4	help	help	VERB
esrj-75821	248	5	water	water	NOUN
esrj-75821	248	6	resource	resource	NOUN
esrj-75821	248	7	and	and	CCONJ
esrj-75821	248	8	agricultural	agricultural	ADJ
esrj-75821	248	9	managers	manager	NOUN
esrj-75821	248	10	make	make	VERB
esrj-75821	248	11	the	the	DET
esrj-75821	248	12	proper	proper	ADJ
esrj-75821	248	13	decisions	decision	NOUN
esrj-75821	248	14	as	as	ADV
esrj-75821	248	15	well	well	ADV
esrj-75821	248	16	as	as	ADP
esrj-75821	248	17	help	help	VERB
esrj-75821	248	18	decrease	decrease	VERB
esrj-75821	248	19	the	the	DET
esrj-75821	248	20	chance	chance	NOUN
esrj-75821	248	21	of	of	ADP
esrj-75821	248	22	desertification	desertification	NOUN
esrj-75821	248	23	and	and	CCONJ
esrj-75821	248	24	land	land	NOUN
esrj-75821	248	25	degradation	degradation	NOUN
esrj-75821	248	26	.	.	PUNCT
esrj-75821	249	1	our	our	PRON
esrj-75821	249	2	findings	finding	NOUN
esrj-75821	249	3	agree	agree	VERB
esrj-75821	249	4	with	with	ADP
esrj-75821	249	5	mohanty	mohanty	PROPN
esrj-75821	249	6	et	et	PROPN
esrj-75821	249	7	al	al	PROPN
esrj-75821	249	8	.	.	PROPN
esrj-75821	249	9	,	,	PUNCT
esrj-75821	249	10	(	(	PUNCT
esrj-75821	249	11	2010	2010	NUM
esrj-75821	249	12	)	)	PUNCT
esrj-75821	249	13	,	,	PUNCT
esrj-75821	249	14	lohani	lohani	NOUN
esrj-75821	249	15	and	and	CCONJ
esrj-75821	249	16	krishnan	krishnan	PROPN
esrj-75821	249	17	(	(	PUNCT
esrj-75821	249	18	2015	2015	NUM
esrj-75821	249	19	)	)	PUNCT
esrj-75821	249	20	,	,	PUNCT
esrj-75821	249	21	porte	porte	PROPN
esrj-75821	249	22	et	et	PROPN
esrj-75821	249	23	al	al	PROPN
esrj-75821	249	24	.	.	PROPN
esrj-75821	250	1	(	(	PUNCT
esrj-75821	250	2	2018	2018	NUM
esrj-75821	250	3	)	)	PUNCT
esrj-75821	250	4	,	,	PUNCT
esrj-75821	250	5	chitsazan	chitsazan	NOUN
esrj-75821	250	6	et	et	PROPN
esrj-75821	250	7	al	al	PROPN
esrj-75821	250	8	.	.	PROPN
esrj-75821	251	1	(	(	PUNCT
esrj-75821	251	2	2013	2013	NUM
esrj-75821	251	3	)	)	PUNCT
esrj-75821	251	4	,	,	PUNCT
esrj-75821	251	5	nair	nair	NOUN
esrj-75821	251	6	and	and	CCONJ
esrj-75821	251	7	sindhu	sindhu	PROPN
esrj-75821	251	8	(	(	PUNCT
esrj-75821	251	9	2016	2016	NUM
esrj-75821	251	10	)	)	PUNCT
esrj-75821	252	1	,	,	PUNCT
esrj-75821	252	2	suprayogi	suprayogi	VERB
esrj-75821	252	3	et	et	PROPN
esrj-75821	252	4	al	al	PROPN
esrj-75821	252	5	.	.	PROPN
esrj-75821	252	6	,	,	PUNCT
esrj-75821	252	7	(	(	PUNCT
esrj-75821	252	8	2020	2020	NUM
esrj-75821	252	9	)	)	PUNCT
esrj-75821	252	10	and	and	CCONJ
esrj-75821	252	11	show	show	VERB
esrj-75821	252	12	the	the	DET
esrj-75821	252	13	efficiency	efficiency	NOUN
esrj-75821	252	14	of	of	ADP
esrj-75821	252	15	ann	ann	PROPN
esrj-75821	252	16	in	in	ADP
esrj-75821	252	17	monitoring	monitor	VERB
esrj-75821	252	18	the	the	DET
esrj-75821	252	19	level	level	NOUN
esrj-75821	252	20	of	of	ADP
esrj-75821	252	21	groundwater	groundwater	NOUN
esrj-75821	252	22	.	.	PUNCT
esrj-75821	253	1	there	there	PRON
esrj-75821	253	2	are	be	VERB
esrj-75821	253	3	only	only	ADV
esrj-75821	253	4	a	a	DET
esrj-75821	253	5	few	few	ADJ
esrj-75821	253	6	differences	difference	NOUN
esrj-75821	253	7	due	due	ADP
esrj-75821	253	8	to	to	ADP
esrj-75821	253	9	the	the	DET
esrj-75821	253	10	selection	selection	NOUN
esrj-75821	253	11	of	of	ADP
esrj-75821	253	12	algorithms	algorithm	NOUN
esrj-75821	253	13	.	.	PUNCT
esrj-75821	254	1	our	our	PRON
esrj-75821	254	2	results	result	NOUN
esrj-75821	254	3	did	do	AUX
esrj-75821	254	4	not	not	PART
esrj-75821	254	5	agree	agree	VERB
esrj-75821	254	6	with	with	ADP
esrj-75821	254	7	the	the	DET
esrj-75821	254	8	findings	finding	NOUN
esrj-75821	254	9	of	of	ADP
esrj-75821	254	10	gong	gong	PROPN
esrj-75821	254	11	et	et	PROPN
esrj-75821	254	12	al	al	PROPN
esrj-75821	254	13	.	.	PROPN
esrj-75821	255	1	(	(	PUNCT
esrj-75821	255	2	2018	2018	NUM
esrj-75821	255	3	)	)	PUNCT
esrj-75821	256	1	,	,	PUNCT
esrj-75821	256	2	almuhaylan	almuhaylan	PROPN
esrj-75821	256	3	et	et	PROPN
esrj-75821	256	4	al	al	PROPN
esrj-75821	256	5	.	.	PROPN
esrj-75821	257	1	(	(	PUNCT
esrj-75821	257	2	2020	2020	NUM
esrj-75821	257	3	)	)	PUNCT
esrj-75821	257	4	and	and	CCONJ
esrj-75821	257	5	emamgholizadeh	emamgholizadeh	X
esrj-75821	257	6	et	et	PROPN
esrj-75821	257	7	al	al	PROPN
esrj-75821	257	8	.	.	PUNCT
esrj-75821	258	1	(	(	PUNCT
esrj-75821	258	2	2014	2014	NUM
esrj-75821	258	3	)	)	PUNCT
esrj-75821	258	4	.	.	PUNCT
esrj-75821	259	1	this	this	PRON
esrj-75821	259	2	is	be	AUX
esrj-75821	259	3	because	because	SCONJ
esrj-75821	259	4	they	they	PRON
esrj-75821	259	5	mentioned	mention	VERB
esrj-75821	259	6	that	that	SCONJ
esrj-75821	259	7	anfis	anfis	PROPN
esrj-75821	259	8	has	have	VERB
esrj-75821	259	9	a	a	DET
esrj-75821	259	10	higher	high	ADJ
esrj-75821	259	11	efficiency	efficiency	NOUN
esrj-75821	259	12	than	than	ADP
esrj-75821	259	13	ann	ann	PROPN
esrj-75821	259	14	.	.	PUNCT
esrj-75821	260	1	we	we	PRON
esrj-75821	260	2	also	also	ADV
esrj-75821	260	3	believe	believe	VERB
esrj-75821	260	4	that	that	SCONJ
esrj-75821	260	5	the	the	DET
esrj-75821	260	6	disagreement	disagreement	NOUN
esrj-75821	260	7	is	be	AUX
esrj-75821	260	8	due	due	ADJ
esrj-75821	260	9	to	to	ADP
esrj-75821	260	10	time	time	NOUN
esrj-75821	260	11	series	series	NOUN
esrj-75821	260	12	difference	difference	NOUN
esrj-75821	260	13	in	in	ADP
esrj-75821	260	14	the	the	DET
esrj-75821	260	15	neuro	neuro	NOUN
esrj-75821	260	16	fuzzy	fuzzy	ADJ
esrj-75821	260	17	model	model	NOUN
esrj-75821	260	18	structure	structure	NOUN
esrj-75821	260	19	and	and	CCONJ
esrj-75821	260	20	various	various	ADJ
esrj-75821	260	21	other	other	ADJ
esrj-75821	260	22	scenarios	scenario	NOUN
esrj-75821	260	23	rather	rather	ADV
esrj-75821	260	24	than	than	ADP
esrj-75821	260	25	the	the	DET
esrj-75821	260	26	groundwater	groundwater	NOUN
esrj-75821	260	27	controlling	control	VERB
esrj-75821	260	28	factors	factor	NOUN
esrj-75821	260	29	.	.	PUNCT
esrj-75821	261	1	unlike	unlike	ADP
esrj-75821	261	2	in	in	ADP
esrj-75821	261	3	previous	previous	ADJ
esrj-75821	261	4	studies	study	NOUN
esrj-75821	261	5	,	,	PUNCT
esrj-75821	261	6	we	we	PRON
esrj-75821	261	7	considered	consider	VERB
esrj-75821	261	8	the	the	DET
esrj-75821	261	9	last	last	ADJ
esrj-75821	261	10	year	year	NOUN
esrj-75821	261	11	precipitation	precipitation	NOUN
esrj-75821	261	12	and	and	CCONJ
esrj-75821	261	13	distance	distance	NOUN
esrj-75821	261	14	from	from	ADP
esrj-75821	261	15	qarachay	qarachay	PROPN
esrj-75821	261	16	river	river	PROPN
esrj-75821	261	17	as	as	ADP
esrj-75821	261	18	recharging	recharge	VERB
esrj-75821	261	19	sources	source	NOUN
esrj-75821	261	20	of	of	ADP
esrj-75821	261	21	groundwater	groundwater	NOUN
esrj-75821	261	22	.	.	PUNCT
esrj-75821	262	1	looking	look	VERB
esrj-75821	262	2	at	at	ADP
esrj-75821	262	3	the	the	DET
esrj-75821	262	4	observed	observe	VERB
esrj-75821	262	5	and	and	CCONJ
esrj-75821	262	6	estimated	estimated	ADJ
esrj-75821	262	7	levels	level	NOUN
esrj-75821	262	8	of	of	ADP
esrj-75821	262	9	groundwater	groundwater	NOUN
esrj-75821	262	10	,	,	PUNCT
esrj-75821	262	11	we	we	PRON
esrj-75821	262	12	found	find	VERB
esrj-75821	262	13	that	that	SCONJ
esrj-75821	262	14	the	the	DET
esrj-75821	262	15	difference	difference	NOUN
esrj-75821	262	16	between	between	ADP
esrj-75821	262	17	levels	level	NOUN
esrj-75821	262	18	in	in	ADP
esrj-75821	262	19	2002	2002	NUM
esrj-75821	262	20	-	-	SYM
esrj-75821	262	21	2010	2010	NUM
esrj-75821	262	22	is	be	AUX
esrj-75821	262	23	larger	large	ADJ
esrj-75821	262	24	than	than	ADP
esrj-75821	262	25	the	the	DET
esrj-75821	262	26	difference	difference	NOUN
esrj-75821	262	27	in	in	ADP
esrj-75821	262	28	2010	2010	NUM
esrj-75821	262	29	-	-	SYM
esrj-75821	262	30	2016	2016	NUM
esrj-75821	262	31	.	.	PUNCT
esrj-75821	263	1	in	in	ADP
esrj-75821	263	2	early	early	ADJ
esrj-75821	263	3	years	year	NOUN
esrj-75821	263	4	,	,	PUNCT
esrj-75821	263	5	the	the	DET
esrj-75821	263	6	level	level	NOUN
esrj-75821	263	7	of	of	ADP
esrj-75821	263	8	groundwater	groundwater	NOUN
esrj-75821	263	9	was	be	AUX
esrj-75821	263	10	underestimated	underestimate	VERB
esrj-75821	263	11	.	.	PUNCT
esrj-75821	264	1	according	accord	VERB
esrj-75821	264	2	to	to	ADP
esrj-75821	264	3	the	the	DET
esrj-75821	264	4	figures	figure	NOUN
esrj-75821	264	5	of	of	ADP
esrj-75821	264	6	the	the	DET
esrj-75821	264	7	level	level	NOUN
esrj-75821	264	8	of	of	ADP
esrj-75821	264	9	ground	ground	NOUN
esrj-75821	264	10	water	water	NOUN
esrj-75821	264	11	and	and	CCONJ
esrj-75821	264	12	monthly	monthly	ADJ
esrj-75821	264	13	precipitation	precipitation	NOUN
esrj-75821	264	14	(	(	PUNCT
esrj-75821	264	15	figure	figure	NOUN
esrj-75821	264	16	5	5	NUM
esrj-75821	264	17	)	)	PUNCT
esrj-75821	264	18	,	,	PUNCT
esrj-75821	264	19	it	it	PRON
esrj-75821	264	20	’s	’	VERB
esrj-75821	264	21	obvious	obvious	ADJ
esrj-75821	264	22	that	that	SCONJ
esrj-75821	264	23	the	the	DET
esrj-75821	264	24	difference	difference	NOUN
esrj-75821	264	25	in	in	ADP
esrj-75821	264	26	maximum	maximum	ADJ
esrj-75821	264	27	and	and	CCONJ
esrj-75821	264	28	minimum	minimum	ADJ
esrj-75821	265	1	monthly	monthly	ADJ
esrj-75821	265	2	precipitation	precipitation	NOUN
esrj-75821	265	3	is	be	AUX
esrj-75821	265	4	significant	significant	ADJ
esrj-75821	265	5	as	as	ADP
esrj-75821	265	6	60	60	NUM
esrj-75821	265	7	mm	mm	NOUN
esrj-75821	265	8	in	in	ADP
esrj-75821	265	9	the	the	DET
esrj-75821	265	10	whole	whole	ADJ
esrj-75821	265	11	watershed	watershed	ADJ
esrj-75821	265	12	area	area	NOUN
esrj-75821	265	13	and	and	CCONJ
esrj-75821	265	14	through	through	ADP
esrj-75821	265	15	the	the	DET
esrj-75821	265	16	time	time	NOUN
esrj-75821	265	17	.	.	PUNCT
esrj-75821	266	1	in	in	ADP
esrj-75821	266	2	2016	2016	NUM
esrj-75821	266	3	,	,	PUNCT
esrj-75821	266	4	the	the	DET
esrj-75821	266	5	difference	difference	NOUN
esrj-75821	266	6	decreased	decrease	VERB
esrj-75821	266	7	to	to	ADP
esrj-75821	266	8	20	20	NUM
esrj-75821	266	9	mm	mm	NOUN
esrj-75821	266	10	and	and	CCONJ
esrj-75821	266	11	the	the	DET
esrj-75821	266	12	difference	difference	NOUN
esrj-75821	266	13	between	between	ADP
esrj-75821	266	14	the	the	DET
esrj-75821	266	15	observed	observed	ADJ
esrj-75821	266	16	and	and	CCONJ
esrj-75821	266	17	estimated	estimated	ADJ
esrj-75821	266	18	levels	level	NOUN
esrj-75821	266	19	of	of	ADP
esrj-75821	266	20	groundwater	groundwater	NOUN
esrj-75821	266	21	became	become	VERB
esrj-75821	266	22	smaller	small	ADJ
esrj-75821	266	23	.	.	PUNCT
esrj-75821	267	1	according	accord	VERB
esrj-75821	267	2	to	to	ADP
esrj-75821	267	3	farming	farm	VERB
esrj-75821	267	4	history	history	NOUN
esrj-75821	267	5	in	in	ADP
esrj-75821	267	6	the	the	DET
esrj-75821	267	7	area	area	NOUN
esrj-75821	267	8	,	,	PUNCT
esrj-75821	267	9	we	we	PRON
esrj-75821	267	10	found	find	VERB
esrj-75821	267	11	that	that	SCONJ
esrj-75821	267	12	by	by	ADP
esrj-75821	267	13	2010	2010	NUM
esrj-75821	267	14	,	,	PUNCT
esrj-75821	267	15	the	the	DET
esrj-75821	267	16	study	study	NOUN
esrj-75821	267	17	area	area	NOUN
esrj-75821	267	18	was	be	AUX
esrj-75821	267	19	under	under	ADP
esrj-75821	267	20	intensive	intensive	ADJ
esrj-75821	267	21	farming	farming	NOUN
esrj-75821	267	22	and	and	CCONJ
esrj-75821	267	23	eventually	eventually	ADV
esrj-75821	267	24	it	it	PRON
esrj-75821	267	25	converted	convert	VERB
esrj-75821	267	26	to	to	ADP
esrj-75821	267	27	orchards	orchard	NOUN
esrj-75821	267	28	due	due	ADP
esrj-75821	267	29	to	to	ADP
esrj-75821	267	30	water	water	NOUN
esrj-75821	267	31	shortage	shortage	NOUN
esrj-75821	267	32	in	in	ADP
esrj-75821	267	33	qara	qara	NOUN
esrj-75821	267	34	-	-	PUNCT
esrj-75821	267	35	chai	chai	NOUN
esrj-75821	267	36	.	.	PUNCT
esrj-75821	268	1	also	also	ADV
esrj-75821	268	2	due	due	ADP
esrj-75821	268	3	to	to	ADP
esrj-75821	268	4	groundwater	groundwater	NOUN
esrj-75821	268	5	exploitation	exploitation	NOUN
esrj-75821	268	6	,	,	PUNCT
esrj-75821	268	7	the	the	DET
esrj-75821	268	8	situation	situation	NOUN
esrj-75821	268	9	was	be	AUX
esrj-75821	268	10	aggravated	aggravate	VERB
esrj-75821	268	11	and	and	CCONJ
esrj-75821	268	12	has	have	AUX
esrj-75821	268	13	n’t	not	PART
esrj-75821	268	14	prevented	prevent	VERB
esrj-75821	268	15	the	the	DET
esrj-75821	268	16	desertification	desertification	NOUN
esrj-75821	268	17	.	.	PUNCT
esrj-75821	269	1	we	we	PRON
esrj-75821	269	2	therefore	therefore	ADV
esrj-75821	269	3	recommend	recommend	VERB
esrj-75821	269	4	the	the	DET
esrj-75821	269	5	following	following	NOUN
esrj-75821	269	6	:	:	PUNCT
esrj-75821	269	7	the	the	DET
esrj-75821	269	8	use	use	NOUN
esrj-75821	269	9	of	of	ADP
esrj-75821	269	10	ann	ann	PROPN
esrj-75821	269	11	in	in	ADP
esrj-75821	269	12	similar	similar	ADJ
esrj-75821	269	13	studies	study	NOUN
esrj-75821	269	14	which	which	PRON
esrj-75821	269	15	monthly	monthly	ADJ
esrj-75821	269	16	precipitation	precipitation	NOUN
esrj-75821	269	17	does	do	AUX
esrj-75821	269	18	n’t	not	PART
esrj-75821	269	19	change	change	VERB
esrj-75821	269	20	drastically	drastically	ADV
esrj-75821	269	21	.	.	PUNCT
esrj-75821	270	1	annual	annual	ADJ
esrj-75821	270	2	monitoring	monitoring	NOUN
esrj-75821	270	3	of	of	ADP
esrj-75821	270	4	groundwater	groundwater	NOUN
esrj-75821	270	5	,	,	PUNCT
esrj-75821	270	6	efficient	efficient	ADJ
esrj-75821	270	7	water	water	NOUN
esrj-75821	270	8	usage	usage	NOUN
esrj-75821	270	9	and	and	CCONJ
esrj-75821	270	10	selecting	select	VERB
esrj-75821	270	11	the	the	DET
esrj-75821	270	12	proper	proper	ADJ
esrj-75821	270	13	farming	farming	NOUN
esrj-75821	270	14	practices	practice	NOUN
esrj-75821	270	15	in	in	ADP
esrj-75821	270	16	the	the	DET
esrj-75821	270	17	study	study	NOUN
esrj-75821	270	18	area	area	NOUN
esrj-75821	270	19	.	.	PUNCT
esrj-75821	271	1	our	our	PRON
esrj-75821	271	2	method	method	NOUN
esrj-75821	271	3	is	be	AUX
esrj-75821	271	4	a	a	DET
esrj-75821	271	5	useful	useful	ADJ
esrj-75821	271	6	tool	tool	NOUN
esrj-75821	271	7	for	for	ADP
esrj-75821	271	8	areas	area	NOUN
esrj-75821	271	9	without	without	ADP
esrj-75821	271	10	piezometric	piezometric	ADJ
esrj-75821	271	11	wells	well	NOUN
esrj-75821	271	12	and	and	CCONJ
esrj-75821	271	13	saves	save	VERB
esrj-75821	271	14	the	the	DET
esrj-75821	271	15	time	time	NOUN
esrj-75821	271	16	and	and	CCONJ
esrj-75821	271	17	money	money	NOUN
esrj-75821	271	18	for	for	ADP
esrj-75821	271	19	digging	dig	VERB
esrj-75821	271	20	.	.	PUNCT
esrj-75821	272	1	references	reference	NOUN
esrj-75821	272	2	abudu	abudu	PROPN
esrj-75821	272	3	,	,	PUNCT
esrj-75821	272	4	s.	s.	PROPN
esrj-75821	272	5	,	,	PUNCT
esrj-75821	272	6	cui	cui	PROPN
esrj-75821	272	7	,	,	PUNCT
esrj-75821	272	8	c.	c.	PROPN
esrj-75821	272	9	,	,	PUNCT
esrj-75821	272	10	king	king	NOUN
esrj-75821	272	11	,	,	PUNCT
esrj-75821	272	12	j.	j.	PROPN
esrj-75821	272	13	p.	p.	PROPN
esrj-75821	272	14	,	,	PUNCT
esrj-75821	272	15	&	&	CCONJ
esrj-75821	272	16	abudukadeer	abudukadeer	PROPN
esrj-75821	272	17	,	,	PUNCT
esrj-75821	272	18	k.	k.	PROPN
esrj-75821	272	19	(	(	PUNCT
esrj-75821	272	20	2010	2010	NUM
esrj-75821	272	21	)	)	PUNCT
esrj-75821	272	22	.	.	PUNCT
esrj-75821	273	1	comparison	comparison	NOUN
esrj-75821	273	2	of	of	ADP
esrj-75821	273	3	performance	performance	NOUN
esrj-75821	273	4	of	of	ADP
esrj-75821	273	5	statistical	statistical	ADJ
esrj-75821	273	6	models	model	NOUN
esrj-75821	273	7	in	in	ADP
esrj-75821	273	8	forecasting	forecast	VERB
esrj-75821	273	9	monthly	monthly	ADJ
esrj-75821	273	10	streamflow	streamflow	NOUN
esrj-75821	273	11	of	of	ADP
esrj-75821	273	12	kizil	kizil	PROPN
esrj-75821	273	13	river	river	PROPN
esrj-75821	273	14	,	,	PUNCT
esrj-75821	273	15	china	china	PROPN
esrj-75821	273	16	.	.	PUNCT
esrj-75821	274	1	water	water	NOUN
esrj-75821	274	2	science	science	NOUN
esrj-75821	274	3	and	and	CCONJ
esrj-75821	274	4	engineering	engineering	NOUN
esrj-75821	274	5	,	,	PUNCT
esrj-75821	274	6	3(3	3(3	NUM
esrj-75821	274	7	)	)	PUNCT
esrj-75821	274	8	,	,	PUNCT
esrj-75821	274	9	269	269	NUM
esrj-75821	274	10	-	-	SYM
esrj-75821	274	11	281	281	NUM
esrj-75821	274	12	.	.	PUNCT
esrj-75821	275	1	doi	doi	NOUN
esrj-75821	275	2	:	:	PUNCT
esrj-75821	275	3	10.3882	10.3882	NUM
esrj-75821	275	4	/	/	SYM
esrj-75821	275	5	j.issn.1674	j.issn.1674	NOUN
esrj-75821	275	6	-	-	PUNCT
esrj-75821	275	7	2370.2010.03.003	2370.2010.03.003	PROPN
esrj-75821	275	8	afzaal	afzaal	NOUN
esrj-75821	275	9	,	,	PUNCT
esrj-75821	275	10	h.	h.	NOUN
esrj-75821	275	11	,	,	PUNCT
esrj-75821	275	12	farooque	farooque	NOUN
esrj-75821	275	13	,	,	PUNCT
esrj-75821	275	14	a.	a.	NOUN
esrj-75821	275	15	a.	a.	PROPN
esrj-75821	275	16	,	,	PUNCT
esrj-75821	275	17	abbas	abbas	PROPN
esrj-75821	275	18	,	,	PUNCT
esrj-75821	275	19	f.	f.	PROPN
esrj-75821	275	20	,	,	PUNCT
esrj-75821	275	21	acharya	acharya	PROPN
esrj-75821	275	22	,	,	PUNCT
esrj-75821	275	23	b.	b.	PROPN
esrj-75821	275	24	,	,	PUNCT
esrj-75821	275	25	&	&	CCONJ
esrj-75821	275	26	esau	esau	PROPN
esrj-75821	275	27	,	,	PUNCT
esrj-75821	275	28	t.	t.	PROPN
esrj-75821	275	29	(	(	PUNCT
esrj-75821	275	30	2020	2020	NUM
esrj-75821	275	31	)	)	PUNCT
esrj-75821	275	32	.	.	PUNCT
esrj-75821	276	1	groundwater	groundwater	NOUN
esrj-75821	276	2	estimation	estimation	NOUN
esrj-75821	276	3	from	from	ADP
esrj-75821	276	4	major	major	ADJ
esrj-75821	276	5	physical	physical	ADJ
esrj-75821	276	6	hydrology	hydrology	NOUN
esrj-75821	276	7	components	component	NOUN
esrj-75821	276	8	using	use	VERB
esrj-75821	276	9	artificial	artificial	ADJ
esrj-75821	276	10	neural	neural	ADJ
esrj-75821	276	11	networks	network	NOUN
esrj-75821	276	12	and	and	CCONJ
esrj-75821	276	13	deep	deep	ADJ
esrj-75821	276	14	learning	learning	NOUN
esrj-75821	276	15	.	.	PUNCT
esrj-75821	277	1	water	water	NOUN
esrj-75821	277	2	,	,	PUNCT
esrj-75821	277	3	12(1	12(1	NUM
esrj-75821	277	4	)	)	PUNCT
esrj-75821	277	5	.	.	PUNCT
esrj-75821	278	1	https://	https://	PROPN
esrj-75821	278	2	doi.org/10.3390/w12010005	doi.org/10.3390/w12010005	PROPN
esrj-75821	278	3	ahmed	ahmed	PROPN
esrj-75821	278	4	,	,	PUNCT
esrj-75821	278	5	a.	a.	NOUN
esrj-75821	278	6	a.	a.	NOUN
esrj-75821	278	7	m.	m.	PROPN
esrj-75821	278	8	,	,	PUNCT
esrj-75821	278	9	&	&	CCONJ
esrj-75821	278	10	shah	shah	PROPN
esrj-75821	278	11	,	,	PUNCT
esrj-75821	278	12	s.	s.	PROPN
esrj-75821	278	13	m.	m.	PROPN
esrj-75821	278	14	a.	a.	PROPN
esrj-75821	278	15	(	(	PUNCT
esrj-75821	278	16	2017	2017	NUM
esrj-75821	278	17	)	)	PUNCT
esrj-75821	278	18	.	.	PUNCT
esrj-75821	279	1	application	application	NOUN
esrj-75821	279	2	of	of	ADP
esrj-75821	279	3	adaptive	adaptive	ADJ
esrj-75821	279	4	neuro	neuro	NOUN
esrj-75821	279	5	-	-	PUNCT
esrj-75821	279	6	fuzzy	fuzzy	ADJ
esrj-75821	279	7	inference	inference	NOUN
esrj-75821	279	8	system	system	NOUN
esrj-75821	279	9	(	(	PUNCT
esrj-75821	279	10	anfis	anfi	VERB
esrj-75821	279	11	)	)	PUNCT
esrj-75821	279	12	to	to	PART
esrj-75821	279	13	estimate	estimate	VERB
esrj-75821	279	14	the	the	DET
esrj-75821	279	15	biochemical	biochemical	ADJ
esrj-75821	279	16	oxygen	oxygen	NOUN
esrj-75821	279	17	demand	demand	NOUN
esrj-75821	279	18	(	(	PUNCT
esrj-75821	279	19	bod	bod	PROPN
esrj-75821	279	20	)	)	PUNCT
esrj-75821	279	21	of	of	ADP
esrj-75821	279	22	surma	surma	PROPN
esrj-75821	279	23	river	river	PROPN
esrj-75821	279	24	.	.	PUNCT
esrj-75821	280	1	journal	journal	PROPN
esrj-75821	280	2	of	of	ADP
esrj-75821	280	3	king	king	PROPN
esrj-75821	280	4	saud	saud	PROPN
esrj-75821	280	5	university	university	PROPN
esrj-75821	280	6	engineering	engineering	NOUN
esrj-75821	280	7	sciences	science	NOUN
esrj-75821	280	8	,	,	PUNCT
esrj-75821	280	9	29(3	29(3	NUM
esrj-75821	280	10	)	)	PUNCT
esrj-75821	280	11	,	,	PUNCT
esrj-75821	280	12	237	237	NUM
esrj-75821	280	13	-	-	SYM
esrj-75821	280	14	243	243	NUM
esrj-75821	280	15	.	.	PUNCT
esrj-75821	281	1	doi	doi	NOUN
esrj-75821	281	2	:	:	PUNCT
esrj-75821	281	3	10.1016	10.1016	NUM
esrj-75821	281	4	/	/	SYM
esrj-75821	281	5	j.jksues.2015.02.001	j.jksues.2015.02.001	PROPN
esrj-75821	281	6	ahmadi	ahmadi	PROPN
esrj-75821	281	7	,	,	PUNCT
esrj-75821	281	8	h.	h.	PROPN
esrj-75821	281	9	(	(	PUNCT
esrj-75821	281	10	2008	2008	NUM
esrj-75821	281	11	)	)	PUNCT
esrj-75821	281	12	.	.	PUNCT
esrj-75821	282	1	introduction	introduction	NOUN
esrj-75821	282	2	of	of	ADP
esrj-75821	282	3	iranian	iranian	ADJ
esrj-75821	282	4	model	model	NOUN
esrj-75821	282	5	of	of	ADP
esrj-75821	282	6	desertification	desertification	NOUN
esrj-75821	282	7	assessment	assessment	NOUN
esrj-75821	282	8	imdpa	imdpa	PROPN
esrj-75821	282	9	.	.	PUNCT
esrj-75821	283	1	technical	technical	ADJ
esrj-75821	283	2	report	report	NOUN
esrj-75821	283	3	for	for	ADP
esrj-75821	283	4	presenting	present	VERB
esrj-75821	283	5	in	in	ADP
esrj-75821	283	6	committee	committee	NOUN
esrj-75821	283	7	of	of	ADP
esrj-75821	283	8	science	science	NOUN
esrj-75821	283	9	and	and	CCONJ
esrj-75821	283	10	technology	technology	NOUN
esrj-75821	283	11	,	,	PUNCT
esrj-75821	283	12	united	united	PROPN
esrj-75821	283	13	nation	nation	PROPN
esrj-75821	283	14	convention	convention	PROPN
esrj-75821	283	15	to	to	PART
esrj-75821	283	16	combat	combat	VERB
esrj-75821	283	17	desertification	desertification	NOUN
esrj-75821	283	18	.	.	PUNCT
esrj-75821	284	1	the	the	DET
esrj-75821	284	2	7th	7th	ADJ
esrj-75821	284	3	session	session	NOUN
esrj-75821	284	4	of	of	ADP
esrj-75821	284	5	conference	conference	NOUN
esrj-75821	284	6	of	of	ADP
esrj-75821	284	7	parties	party	NOUN
esrj-75821	284	8	cop7	cop7	PROPN
esrj-75821	284	9	,	,	PUNCT
esrj-75821	284	10	nairobi	nairobi	PROPN
esrj-75821	284	11	,	,	PUNCT
esrj-75821	284	12	kenyan	kenyan	PROPN
esrj-75821	284	13	,	,	PUNCT
esrj-75821	284	14	56	56	NUM
esrj-75821	284	15	pp	pp	NOUN
esrj-75821	284	16	.	.	PUNCT
esrj-75821	285	1	alipour	alipour	PROPN
esrj-75821	285	2	,	,	PUNCT
esrj-75821	285	3	z.	z.	PROPN
esrj-75821	285	4	,	,	PUNCT
esrj-75821	285	5	akhund	akhund	PROPN
esrj-75821	285	6	ali	ali	PROPN
esrj-75821	285	7	,	,	PUNCT
esrj-75821	285	8	a.	a.	NOUN
esrj-75821	285	9	m.	m.	NOUN
esrj-75821	285	10	,	,	PUNCT
esrj-75821	285	11	radmanesh	radmanesh	PROPN
esrj-75821	285	12	,	,	PUNCT
esrj-75821	285	13	f.	f.	PROPN
esrj-75821	285	14	,	,	PUNCT
esrj-75821	285	15	&	&	CCONJ
esrj-75821	285	16	joorabyan	joorabyan	PROPN
esrj-75821	285	17	,	,	PUNCT
esrj-75821	285	18	m.	m.	NOUN
esrj-75821	285	19	(	(	PUNCT
esrj-75821	285	20	2014	2014	NUM
esrj-75821	285	21	)	)	PUNCT
esrj-75821	285	22	.	.	PUNCT
esrj-75821	286	1	comparison	comparison	NOUN
esrj-75821	286	2	of	of	ADP
esrj-75821	286	3	three	three	NUM
esrj-75821	286	4	methods	method	NOUN
esrj-75821	286	5	of	of	ADP
esrj-75821	286	6	ann	ann	PROPN
esrj-75821	286	7	,	,	PUNCT
esrj-75821	286	8	anfis	anfi	VERB
esrj-75821	286	9	and	and	CCONJ
esrj-75821	286	10	time	time	NOUN
esrj-75821	286	11	series	series	PROPN
esrj-75821	286	12	models	model	NOUN
esrj-75821	286	13	to	to	PART
esrj-75821	286	14	predict	predict	VERB
esrj-75821	286	15	ground	ground	NOUN
esrj-75821	286	16	water	water	NOUN
esrj-75821	286	17	level	level	NOUN
esrj-75821	286	18	.	.	PUNCT
esrj-75821	287	1	bulletin	bulletin	NOUN
esrj-75821	287	2	of	of	ADP
esrj-75821	287	3	environment	environment	NOUN
esrj-75821	287	4	,	,	PUNCT
esrj-75821	287	5	pharmacology	pharmacology	NOUN
esrj-75821	287	6	and	and	CCONJ
esrj-75821	287	7	life	life	NOUN
esrj-75821	287	8	sciences	science	NOUN
esrj-75821	287	9	,	,	PUNCT
esrj-75821	287	10	3,128	3,128	NUM
esrj-75821	287	11	-	-	SYM
esrj-75821	287	12	134	134	NUM
esrj-75821	287	13	.	.	PUNCT
esrj-75821	288	1	alizamir	alizamir	ADJ
esrj-75821	288	2	,	,	PUNCT
esrj-75821	288	3	m.	m.	NOUN
esrj-75821	288	4	,	,	PUNCT
esrj-75821	288	5	sobhanardakani	sobhanardakani	NOUN
esrj-75821	288	6	,	,	PUNCT
esrj-75821	288	7	s.	s.	PROPN
esrj-75821	288	8	,	,	PUNCT
esrj-75821	288	9	&	&	CCONJ
esrj-75821	288	10	taghavi	taghavi	PROPN
esrj-75821	288	11	,	,	PUNCT
esrj-75821	288	12	l.	l.	PROPN
esrj-75821	288	13	(	(	PUNCT
esrj-75821	288	14	2017	2017	NUM
esrj-75821	288	15	)	)	PUNCT
esrj-75821	288	16	.	.	PUNCT
esrj-75821	289	1	modeling	modeling	NOUN
esrj-75821	289	2	of	of	ADP
esrj-75821	289	3	groundwater	groundwater	NOUN
esrj-75821	289	4	resources	resource	NOUN
esrj-75821	289	5	heavy	heavy	ADJ
esrj-75821	289	6	metals	metal	NOUN
esrj-75821	289	7	concentration	concentration	NOUN
esrj-75821	289	8	using	use	VERB
esrj-75821	289	9	soft	soft	ADJ
esrj-75821	289	10	computing	computing	NOUN
esrj-75821	289	11	methods	method	NOUN
esrj-75821	289	12	:	:	PUNCT
esrj-75821	289	13	application	application	NOUN
esrj-75821	289	14	of	of	ADP
esrj-75821	289	15	different	different	ADJ
esrj-75821	289	16	types	type	NOUN
esrj-75821	289	17	of	of	ADP
esrj-75821	289	18	artificial	artificial	ADJ
esrj-75821	289	19	neural	neural	ADJ
esrj-75821	289	20	networks	network	NOUN
esrj-75821	289	21	.	.	PUNCT
esrj-75821	290	1	journal	journal	PROPN
esrj-75821	290	2	of	of	ADP
esrj-75821	290	3	chemical	chemical	ADJ
esrj-75821	290	4	health	health	NOUN
esrj-75821	290	5	risks	risk	NOUN
esrj-75821	290	6	,	,	PUNCT
esrj-75821	290	7	73	73	NUM
esrj-75821	290	8	,	,	PUNCT
esrj-75821	290	9	207–216	207–216	NUM
esrj-75821	290	10	.	.	PUNCT
esrj-75821	291	1	alqadi	alqadi	PROPN
esrj-75821	291	2	,	,	PUNCT
esrj-75821	291	3	m.	m.	NOUN
esrj-75821	291	4	,	,	PUNCT
esrj-75821	291	5	margane	margane	NOUN
esrj-75821	291	6	,	,	PUNCT
esrj-75821	291	7	a.	a.	NOUN
esrj-75821	291	8	,	,	PUNCT
esrj-75821	291	9	raggad	raggad	NOUN
esrj-75821	291	10	,	,	PUNCT
esrj-75821	291	11	m.	m.	NOUN
esrj-75821	291	12	,	,	PUNCT
esrj-75821	291	13	al	al	PROPN
esrj-75821	291	14	subah	subah	PROPN
esrj-75821	291	15	,	,	PUNCT
esrj-75821	291	16	h.	h.	PROPN
esrj-75821	291	17	a.	a.	PROPN
esrj-75821	291	18	,	,	PUNCT
esrj-75821	291	19	disse	disse	PROPN
esrj-75821	291	20	,	,	PUNCT
esrj-75821	291	21	m.	m.	NOUN
esrj-75821	291	22	,	,	PUNCT
esrj-75821	291	23	hamdan	hamdan	PROPN
esrj-75821	291	24	,	,	PUNCT
esrj-75821	291	25	i.	i.	PROPN
esrj-75821	291	26	,	,	PUNCT
esrj-75821	291	27	&	&	CCONJ
esrj-75821	291	28	chiogna	chiogna	PROPN
esrj-75821	291	29	,	,	PUNCT
esrj-75821	291	30	g.	g.	PROPN
esrj-75821	291	31	(	(	PUNCT
esrj-75821	291	32	2019	2019	NUM
esrj-75821	291	33	)	)	PUNCT
esrj-75821	291	34	.	.	PUNCT
esrj-75821	292	1	implementation	implementation	NOUN
esrj-75821	292	2	of	of	ADP
esrj-75821	292	3	simple	simple	ADJ
esrj-75821	292	4	strategies	strategy	NOUN
esrj-75821	292	5	to	to	PART
esrj-75821	292	6	improve	improve	VERB
esrj-75821	292	7	https://doi.org/10.3390/w12010005	https://doi.org/10.3390/w12010005	NUM
esrj-75821	292	8	https://doi.org/10.3390/w12010005	https://doi.org/10.3390/w12010005	NUM
esrj-75821	292	9	360	360	NUM
esrj-75821	292	10	vahid	vahid	PROPN
esrj-75821	292	11	habibi	habibi	PROPN
esrj-75821	292	12	,	,	PUNCT
esrj-75821	292	13	hassan	hassan	PROPN
esrj-75821	292	14	ahmadi	ahmadi	PROPN
esrj-75821	292	15	,	,	PUNCT
esrj-75821	292	16	mohammad	mohammad	PROPN
esrj-75821	292	17	jaffari	jaffari	PROPN
esrj-75821	292	18	,	,	PUNCT
esrj-75821	292	19	abolfazl	abolfazl	VERB
esrj-75821	292	20	moein	moein	PROPN
esrj-75821	292	21	wellfield	wellfield	PROPN
esrj-75821	292	22	management	management	PROPN
esrj-75821	292	23	in	in	ADP
esrj-75821	292	24	arid	arid	ADJ
esrj-75821	292	25	regions	region	NOUN
esrj-75821	292	26	:	:	PUNCT
esrj-75821	292	27	the	the	DET
esrj-75821	292	28	case	case	NOUN
esrj-75821	292	29	study	study	NOUN
esrj-75821	292	30	of	of	ADP
esrj-75821	292	31	wadi	wadi	PROPN
esrj-75821	292	32	al	al	PROPN
esrj-75821	292	33	arab	arab	PROPN
esrj-75821	292	34	wellfield	wellfield	PROPN
esrj-75821	292	35	,	,	PUNCT
esrj-75821	292	36	jordan	jordan	PROPN
esrj-75821	292	37	.	.	PUNCT
esrj-75821	293	1	sustainability	sustainability	NOUN
esrj-75821	293	2	,	,	PUNCT
esrj-75821	293	3	11(21	11(21	NUM
esrj-75821	293	4	)	)	PUNCT
esrj-75821	293	5	,	,	PUNCT
esrj-75821	293	6	5903	5903	NUM
esrj-75821	293	7	.	.	PUNCT
esrj-75821	294	1	https://doi.org/10.3390/	https://doi.org/10.3390/	PROPN
esrj-75821	294	2	su11215903	su11215903	NOUN
esrj-75821	294	3	ashrafzadeh	ashrafzadeh	PROPN
esrj-75821	294	4	,	,	PUNCT
esrj-75821	294	5	a.	a.	NOUN
esrj-75821	294	6	,	,	PUNCT
esrj-75821	294	7	roshandel	roshandel	PROPN
esrj-75821	294	8	,	,	PUNCT
esrj-75821	294	9	f.	f.	PROPN
esrj-75821	294	10	,	,	PUNCT
esrj-75821	294	11	khaledian	khaledian	PROPN
esrj-75821	294	12	,	,	PUNCT
esrj-75821	294	13	m.	m.	NOUN
esrj-75821	294	14	,	,	PUNCT
esrj-75821	294	15	vazifedoust	vazifedoust	NOUN
esrj-75821	294	16	,	,	PUNCT
esrj-75821	294	17	m.	m.	NOUN
esrj-75821	294	18	,	,	PUNCT
esrj-75821	294	19	&	&	CCONJ
esrj-75821	294	20	rezaei	rezaei	PROPN
esrj-75821	294	21	,	,	PUNCT
esrj-75821	294	22	m.	m.	NOUN
esrj-75821	294	23	(	(	PUNCT
esrj-75821	294	24	2016	2016	NUM
esrj-75821	294	25	)	)	PUNCT
esrj-75821	294	26	assessment	assessment	NOUN
esrj-75821	294	27	of	of	ADP
esrj-75821	294	28	groundwater	groundwater	NOUN
esrj-75821	294	29	salinity	salinity	NOUN
esrj-75821	294	30	risk	risk	NOUN
esrj-75821	294	31	using	use	VERB
esrj-75821	294	32	kriging	krige	VERB
esrj-75821	294	33	methods	method	NOUN
esrj-75821	294	34	:	:	PUNCT
esrj-75821	294	35	a	a	DET
esrj-75821	294	36	case	case	NOUN
esrj-75821	294	37	study	study	NOUN
esrj-75821	294	38	in	in	ADP
esrj-75821	294	39	northern	northern	ADJ
esrj-75821	294	40	iran	iran	PROPN
esrj-75821	294	41	.	.	PUNCT
esrj-75821	295	1	agricultural	agricultural	ADJ
esrj-75821	295	2	water	water	NOUN
esrj-75821	295	3	management	management	NOUN
esrj-75821	295	4	,	,	PUNCT
esrj-75821	295	5	178	178	NUM
esrj-75821	295	6	.	.	PUNCT
esrj-75821	296	1	doi	doi	NOUN
esrj-75821	296	2	:	:	PUNCT
esrj-75821	296	3	10.1016	10.1016	NUM
esrj-75821	296	4	/	/	SYM
esrj-75821	296	5	j.agwat.2016.09.028	j.agwat.2016.09.028	ADJ
esrj-75821	296	6	baghban	baghban	NOUN
esrj-75821	296	7	,	,	PUNCT
esrj-75821	296	8	a.	a.	NOUN
esrj-75821	296	9	,	,	PUNCT
esrj-75821	296	10	sasanipour	sasanipour	NOUN
esrj-75821	296	11	,	,	PUNCT
esrj-75821	296	12	j.	j.	PROPN
esrj-75821	296	13	,	,	PUNCT
esrj-75821	296	14	haratipour	haratipour	PROPN
esrj-75821	296	15	p.	p.	NOUN
esrj-75821	296	16	,	,	PUNCT
esrj-75821	296	17	alizad	alizad	NOUN
esrj-75821	296	18	,	,	PUNCT
esrj-75821	296	19	m.	m.	NOUN
esrj-75821	296	20	,	,	PUNCT
esrj-75821	296	21	&	&	CCONJ
esrj-75821	296	22	ayouri	ayouri	NOUN
esrj-75821	296	23	,	,	PUNCT
esrj-75821	296	24	m.	m.	NOUN
esrj-75821	296	25	v.	v.	PROPN
esrj-75821	296	26	(	(	PUNCT
esrj-75821	296	27	2017	2017	NUM
esrj-75821	296	28	)	)	PUNCT
esrj-75821	296	29	.	.	PUNCT
esrj-75821	297	1	anfis	anfi	VERB
esrj-75821	297	2	modeling	modeling	NOUN
esrj-75821	297	3	of	of	ADP
esrj-75821	297	4	rhamnolipid	rhamnolipid	ADJ
esrj-75821	297	5	breakthrough	breakthrough	NOUN
esrj-75821	297	6	curves	curve	NOUN
esrj-75821	297	7	on	on	ADP
esrj-75821	297	8	activated	activated	ADJ
esrj-75821	297	9	carbon	carbon	NOUN
esrj-75821	297	10	.	.	PUNCT
esrj-75821	298	1	chemical	chemical	NOUN
esrj-75821	298	2	engineering	engineering	PROPN
esrj-75821	298	3	research	research	NOUN
esrj-75821	298	4	and	and	CCONJ
esrj-75821	298	5	design	design	NOUN
esrj-75821	298	6	,	,	PUNCT
esrj-75821	298	7	126	126	NUM
esrj-75821	298	8	.	.	PUNCT
esrj-75821	299	1	doi	doi	NOUN
esrj-75821	299	2	:	:	PUNCT
esrj-75821	299	3	10.1016	10.1016	NUM
esrj-75821	299	4	/	/	SYM
esrj-75821	299	5	j.cherd.2017.08.007	j.cherd.2017.08.007	ADJ
esrj-75821	299	6	bessaih	bessaih	NOUN
esrj-75821	299	7	,	,	PUNCT
esrj-75821	299	8	n.	n.	PROPN
esrj-75821	299	9	,	,	PUNCT
esrj-75821	299	10	qureshi	qureshi	PROPN
esrj-75821	299	11	,	,	PUNCT
esrj-75821	299	12	m.	m.	NOUN
esrj-75821	299	13	,	,	PUNCT
esrj-75821	299	14	al	al	PROPN
esrj-75821	299	15	-	-	PUNCT
esrj-75821	299	16	jabri	jabri	PROPN
esrj-75821	299	17	,	,	PUNCT
esrj-75821	299	18	f.	f.	PROPN
esrj-75821	299	19	s.	s.	PROPN
esrj-75821	299	20	,	,	PUNCT
esrj-75821	299	21	al	al	PROPN
esrj-75821	299	22	-	-	PUNCT
esrj-75821	299	23	harmali	harmali	PROPN
esrj-75821	299	24	,	,	PUNCT
esrj-75821	299	25	i.	i.	PROPN
esrj-75821	299	26	r.	r.	PROPN
esrj-75821	299	27	,	,	PUNCT
esrj-75821	299	28	al	al	PROPN
esrj-75821	299	29	naamani	naamani	PROPN
esrj-75821	299	30	,	,	PUNCT
esrj-75821	299	31	z.	z.	PROPN
esrj-75821	299	32	a.	a.	PROPN
esrj-75821	299	33	(	(	PUNCT
esrj-75821	299	34	2014	2014	NUM
esrj-75821	299	35	)	)	PUNCT
esrj-75821	299	36	.	.	PUNCT
esrj-75821	300	1	groundwater	groundwater	NOUN
esrj-75821	300	2	water	water	NOUN
esrj-75821	300	3	level	level	NOUN
esrj-75821	300	4	prediction	prediction	NOUN
esrj-75821	300	5	in	in	ADP
esrj-75821	300	6	wadi	wadi	PROPN
esrj-75821	300	7	el	el	PROPN
esrj-75821	300	8	jezzy	jezzy	PROPN
esrj-75821	300	9	catchment	catchment	PROPN
esrj-75821	300	10	using	use	VERB
esrj-75821	300	11	ann	ann	PROPN
esrj-75821	300	12	.	.	PUNCT
esrj-75821	301	1	in	in	ADP
esrj-75821	301	2	:	:	PUNCT
esrj-75821	301	3	lecture	lecture	NOUN
esrj-75821	301	4	notes	note	NOUN
esrj-75821	301	5	in	in	ADP
esrj-75821	301	6	engineering	engineering	NOUN
esrj-75821	301	7	and	and	CCONJ
esrj-75821	301	8	computer	computer	NOUN
esrj-75821	301	9	science	science	NOUN
esrj-75821	301	10	.	.	PUNCT
esrj-75821	302	1	bodrud	bodrud	PROPN
esrj-75821	302	2	-	-	PUNCT
esrj-75821	302	3	doza	doza	PROPN
esrj-75821	302	4	,	,	PUNCT
esrj-75821	302	5	m.	m.	NOUN
esrj-75821	302	6	,	,	PUNCT
esrj-75821	302	7	islam	islam	PROPN
esrj-75821	302	8	,	,	PUNCT
esrj-75821	302	9	a.	a.	PROPN
esrj-75821	302	10	r.	r.	PROPN
esrj-75821	302	11	m.	m.	PROPN
esrj-75821	302	12	t.	t.	PROPN
esrj-75821	302	13	,	,	PUNCT
esrj-75821	302	14	ahmed	ahmed	PROPN
esrj-75821	302	15	,	,	PUNCT
esrj-75821	302	16	f.	f.	PROPN
esrj-75821	302	17	,	,	PUNCT
esrj-75821	302	18	das	das	PROPN
esrj-75821	302	19	,	,	PUNCT
esrj-75821	302	20	s.	s.	PROPN
esrj-75821	302	21	,	,	PUNCT
esrj-75821	302	22	saha	saha	PROPN
esrj-75821	302	23	,	,	PUNCT
esrj-75821	302	24	n.	n.	PROPN
esrj-75821	302	25	,	,	PUNCT
esrj-75821	302	26	rahman	rahman	PROPN
esrj-75821	302	27	,	,	PUNCT
esrj-75821	302	28	s.	s.	PROPN
esrj-75821	302	29	(	(	PUNCT
esrj-75821	302	30	2016	2016	NUM
esrj-75821	302	31	)	)	PUNCT
esrj-75821	302	32	.	.	PUNCT
esrj-75821	303	1	characterization	characterization	NOUN
esrj-75821	303	2	of	of	ADP
esrj-75821	303	3	groundwater	groundwater	NOUN
esrj-75821	303	4	quality	quality	NOUN
esrj-75821	303	5	using	use	VERB
esrj-75821	303	6	water	water	NOUN
esrj-75821	303	7	evaluation	evaluation	NOUN
esrj-75821	303	8	indices	index	NOUN
esrj-75821	303	9	,	,	PUNCT
esrj-75821	303	10	multivariate	multivariate	NOUN
esrj-75821	303	11	statistics	statistic	NOUN
esrj-75821	303	12	and	and	CCONJ
esrj-75821	303	13	geostatistics	geostatistic	NOUN
esrj-75821	303	14	in	in	ADP
esrj-75821	303	15	central	central	ADJ
esrj-75821	303	16	bangladesh	bangladesh	NOUN
esrj-75821	303	17	.	.	PUNCT
esrj-75821	304	1	water	water	NOUN
esrj-75821	304	2	science	science	PROPN
esrj-75821	304	3	,	,	PUNCT
esrj-75821	304	4	30	30	NUM
esrj-75821	304	5	,	,	PUNCT
esrj-75821	304	6	19	19	NUM
esrj-75821	304	7	-	-	SYM
esrj-75821	304	8	40	40	NUM
esrj-75821	304	9	doi	doi	NOUN
esrj-75821	304	10	:	:	PUNCT
esrj-75821	304	11	10.1016	10.1016	NUM
esrj-75821	304	12	/	/	SYM
esrj-75821	304	13	j.wsj.2016.05.001	j.wsj.2016.05.001	PROPN
esrj-75821	304	14	chen	chen	PROPN
esrj-75821	304	15	,	,	PUNCT
esrj-75821	304	16	c.	c.	PROPN
esrj-75821	304	17	,	,	PUNCT
esrj-75821	304	18	he	he	PRON
esrj-75821	304	19	,	,	PUNCT
esrj-75821	304	20	w.	w.	PROPN
esrj-75821	304	21	,	,	PUNCT
esrj-75821	304	22	zhou	zhou	PROPN
esrj-75821	304	23	,	,	PUNCT
esrj-75821	304	24	h.	h.	PROPN
esrj-75821	304	25	,	,	PUNCT
esrj-75821	304	26	xue	xue	PROPN
esrj-75821	304	27	,	,	PUNCT
esrj-75821	304	28	y.	y.	PROPN
esrj-75821	304	29	,	,	PUNCT
esrj-75821	304	30	&	&	CCONJ
esrj-75821	304	31	zhu	zhu	PROPN
esrj-75821	304	32	,	,	PUNCT
esrj-75821	304	33	m.	m.	NOUN
esrj-75821	304	34	(	(	PUNCT
esrj-75821	304	35	2020	2020	NUM
esrj-75821	304	36	)	)	PUNCT
esrj-75821	304	37	.	.	PUNCT
esrj-75821	305	1	a	a	DET
esrj-75821	305	2	comparative	comparative	ADJ
esrj-75821	305	3	study	study	NOUN
esrj-75821	305	4	among	among	ADP
esrj-75821	305	5	machine	machine	NOUN
esrj-75821	305	6	learning	learning	NOUN
esrj-75821	305	7	and	and	CCONJ
esrj-75821	305	8	numerical	numerical	ADJ
esrj-75821	305	9	models	model	NOUN
esrj-75821	305	10	for	for	ADP
esrj-75821	305	11	simulating	simulate	VERB
esrj-75821	305	12	groundwater	groundwater	NOUN
esrj-75821	305	13	dynamics	dynamic	NOUN
esrj-75821	305	14	in	in	ADP
esrj-75821	305	15	the	the	DET
esrj-75821	305	16	heihe	heihe	PROPN
esrj-75821	305	17	river	river	PROPN
esrj-75821	305	18	basin	basin	PROPN
esrj-75821	305	19	,	,	PUNCT
esrj-75821	305	20	northwestern	northwestern	ADJ
esrj-75821	305	21	china	china	PROPN
esrj-75821	305	22	.	.	PUNCT
esrj-75821	306	1	scientific	scientific	ADJ
esrj-75821	306	2	reports	report	NOUN
esrj-75821	306	3	,	,	PUNCT
esrj-75821	306	4	10:3904	10:3904	NUM
esrj-75821	306	5	.	.	PUNCT
esrj-75821	307	1	https://doi.org/10.1038/s41598-02060698-9	https://doi.org/10.1038/s41598-02060698-9	PROPN
esrj-75821	307	2	chitsazan	chitsazan	PROPN
esrj-75821	307	3	,	,	PUNCT
esrj-75821	307	4	m.	m.	NOUN
esrj-75821	307	5	,	,	PUNCT
esrj-75821	307	6	rahmani	rahmani	PROPN
esrj-75821	307	7	,	,	PUNCT
esrj-75821	307	8	g.	g.	PROPN
esrj-75821	307	9	r.	r.	PROPN
esrj-75821	307	10	,	,	PUNCT
esrj-75821	307	11	neyamadpour	neyamadpour	PROPN
esrj-75821	307	12	,	,	PUNCT
esrj-75821	307	13	a.	a.	NOUN
esrj-75821	307	14	(	(	PUNCT
esrj-75821	307	15	2013	2013	NUM
esrj-75821	307	16	)	)	PUNCT
esrj-75821	307	17	.	.	PUNCT
esrj-75821	308	1	groundwater	groundwater	NOUN
esrj-75821	308	2	level	level	NOUN
esrj-75821	308	3	simulation	simulation	NOUN
esrj-75821	308	4	using	use	VERB
esrj-75821	308	5	artificial	artificial	ADJ
esrj-75821	308	6	neural	neural	ADJ
esrj-75821	308	7	network	network	NOUN
esrj-75821	308	8	:	:	PUNCT
esrj-75821	308	9	a	a	DET
esrj-75821	308	10	case	case	NOUN
esrj-75821	308	11	study	study	NOUN
esrj-75821	308	12	from	from	ADP
esrj-75821	308	13	aghili	aghili	PROPN
esrj-75821	308	14	plain	plain	ADJ
esrj-75821	308	15	,	,	PUNCT
esrj-75821	308	16	urban	urban	ADJ
esrj-75821	308	17	area	area	NOUN
esrj-75821	308	18	of	of	ADP
esrj-75821	308	19	gotvand	gotvand	NOUN
esrj-75821	308	20	,	,	PUNCT
esrj-75821	308	21	south	south	NOUN
esrj-75821	308	22	-	-	PUNCT
esrj-75821	308	23	west	west	PROPN
esrj-75821	308	24	iran	iran	PROPN
esrj-75821	308	25	.	.	PUNCT
esrj-75821	309	1	geopersia	geopersia	NOUN
esrj-75821	309	2	,	,	PUNCT
esrj-75821	309	3	3(1	3(1	NUM
esrj-75821	309	4	)	)	PUNCT
esrj-75821	309	5	,	,	PUNCT
esrj-75821	309	6	35	35	NUM
esrj-75821	309	7	-	-	SYM
esrj-75821	309	8	46	46	NUM
esrj-75821	309	9	.	.	PUNCT
esrj-75821	309	10	10.22059	10.22059	NUM
esrj-75821	309	11	/	/	SYM
esrj-75821	309	12	jgeope.2013.31930	jgeope.2013.31930	PROPN
esrj-75821	309	13	chun	chun	PROPN
esrj-75821	309	14	,	,	PUNCT
esrj-75821	309	15	h.	h.	PROPN
esrj-75821	309	16	,	,	PUNCT
esrj-75821	309	17	&	&	CCONJ
esrj-75821	309	18	keleş	keleş	PROPN
esrj-75821	309	19	,	,	PUNCT
esrj-75821	309	20	s.	s.	PROPN
esrj-75821	309	21	(	(	PUNCT
esrj-75821	309	22	2010	2010	NUM
esrj-75821	309	23	)	)	PUNCT
esrj-75821	309	24	.	.	PUNCT
esrj-75821	310	1	sparse	sparse	VERB
esrj-75821	310	2	partial	partial	ADJ
esrj-75821	310	3	least	least	ADJ
esrj-75821	310	4	squares	square	NOUN
esrj-75821	310	5	regression	regression	NOUN
esrj-75821	310	6	for	for	ADP
esrj-75821	310	7	simultaneous	simultaneous	ADJ
esrj-75821	310	8	dimension	dimension	NOUN
esrj-75821	310	9	reduction	reduction	NOUN
esrj-75821	310	10	and	and	CCONJ
esrj-75821	310	11	variable	variable	ADJ
esrj-75821	310	12	selection	selection	NOUN
esrj-75821	310	13	.	.	PUNCT
esrj-75821	311	1	journal	journal	NOUN
esrj-75821	311	2	of	of	ADP
esrj-75821	311	3	the	the	DET
esrj-75821	311	4	royal	royal	ADJ
esrj-75821	311	5	statistical	statistical	ADJ
esrj-75821	311	6	society	society	NOUN
esrj-75821	311	7	.	.	PUNCT
esrj-75821	312	1	series	series	PROPN
esrj-75821	312	2	b	b	PROPN
esrj-75821	312	3	,	,	PUNCT
esrj-75821	312	4	statistical	statistical	ADJ
esrj-75821	312	5	methodology	methodology	NOUN
esrj-75821	312	6	,	,	PUNCT
esrj-75821	312	7	72(1	72(1	NOUN
esrj-75821	312	8	)	)	PUNCT
esrj-75821	312	9	,	,	PUNCT
esrj-75821	312	10	3	3	NUM
esrj-75821	312	11	-	-	SYM
esrj-75821	312	12	25	25	NUM
esrj-75821	312	13	.	.	PUNCT
esrj-75821	313	1	doi	doi	NOUN
esrj-75821	313	2	:	:	PUNCT
esrj-75821	313	3	10.1111	10.1111	NUM
esrj-75821	313	4	/	/	SYM
esrj-75821	313	5	j.1467	j.1467	PROPN
esrj-75821	313	6	-	-	PUNCT
esrj-75821	313	7	9868.2009.00723.x	9868.2009.00723.x	NOUN
esrj-75821	313	8	dhungana	dhungana	NOUN
esrj-75821	313	9	,	,	PUNCT
esrj-75821	313	10	s.	s.	PROPN
esrj-75821	313	11	,	,	PUNCT
esrj-75821	313	12	(	(	PUNCT
esrj-75821	313	13	2015	2015	NUM
esrj-75821	313	14	)	)	PUNCT
esrj-75821	313	15	.	.	PUNCT
esrj-75821	314	1	comparison	comparison	NOUN
esrj-75821	314	2	of	of	ADP
esrj-75821	314	3	multivariate	multivariate	NOUN
esrj-75821	314	4	methods	method	NOUN
esrj-75821	314	5	to	to	PART
esrj-75821	314	6	predict	predict	VERB
esrj-75821	314	7	the	the	DET
esrj-75821	314	8	quality	quality	NOUN
esrj-75821	314	9	of	of	ADP
esrj-75821	314	10	drinking	drinking	NOUN
esrj-75821	314	11	water	water	NOUN
esrj-75821	314	12	in	in	ADP
esrj-75821	314	13	norway	norway	PROPN
esrj-75821	314	14	.	.	PUNCT
esrj-75821	315	1	ms.c	ms.c	PROPN
esrj-75821	315	2	.	.	PUNCT
esrj-75821	316	1	thesis	thesis	NOUN
esrj-75821	316	2	.	.	PUNCT
esrj-75821	317	1	faculty	faculty	NOUN
esrj-75821	317	2	of	of	ADP
esrj-75821	317	3	veterinary	veterinary	ADJ
esrj-75821	317	4	medicine	medicine	NOUN
esrj-75821	317	5	and	and	CCONJ
esrj-75821	317	6	biosciences	bioscience	NOUN
esrj-75821	317	7	.	.	PUNCT
esrj-75821	318	1	norway	norway	PROPN
esrj-75821	318	2	.	.	PUNCT
esrj-75821	319	1	dubovyk	dubovyk	PROPN
esrj-75821	319	2	,	,	PUNCT
esrj-75821	319	3	o.	o.	NOUN
esrj-75821	319	4	(	(	PUNCT
esrj-75821	319	5	2017	2017	NUM
esrj-75821	319	6	)	)	PUNCT
esrj-75821	319	7	.	.	PUNCT
esrj-75821	320	1	the	the	DET
esrj-75821	320	2	role	role	NOUN
esrj-75821	320	3	of	of	ADP
esrj-75821	320	4	remote	remote	ADJ
esrj-75821	320	5	sensing	sensing	NOUN
esrj-75821	320	6	in	in	ADP
esrj-75821	320	7	land	land	NOUN
esrj-75821	320	8	degradation	degradation	NOUN
esrj-75821	320	9	assessments	assessment	NOUN
esrj-75821	320	10	:	:	PUNCT
esrj-75821	320	11	opportunities	opportunity	NOUN
esrj-75821	320	12	and	and	CCONJ
esrj-75821	320	13	challenges	challenge	NOUN
esrj-75821	320	14	.	.	PUNCT
esrj-75821	321	1	european	european	ADJ
esrj-75821	321	2	journal	journal	PROPN
esrj-75821	321	3	of	of	ADP
esrj-75821	321	4	remote	remote	ADJ
esrj-75821	321	5	sensing	sensing	NOUN
esrj-75821	321	6	,	,	PUNCT
esrj-75821	321	7	50(1	50(1	NUM
esrj-75821	321	8	)	)	PUNCT
esrj-75821	321	9	,	,	PUNCT
esrj-75821	321	10	601	601	NUM
esrj-75821	321	11	-	-	SYM
esrj-75821	321	12	613	613	NUM
esrj-75821	321	13	.	.	PUNCT
esrj-75821	321	14	https://doi.org/10.1080/22797254	https://doi.org/10.1080/22797254	PROPN
esrj-75821	321	15	.	.	PUNCT
esrj-75821	322	1	2017.1378926	2017.1378926	NUM
esrj-75821	322	2	ekhtesasi	ekhtesasi	NOUN
esrj-75821	322	3	,	,	PUNCT
esrj-75821	322	4	m.	m.	PROPN
esrj-75821	322	5	r.	r.	PROPN
esrj-75821	322	6	,	,	PUNCT
esrj-75821	322	7	&	&	CCONJ
esrj-75821	322	8	mohajeri	mohajeri	PROPN
esrj-75821	322	9	.	.	PUNCT
esrj-75821	323	1	s.	s.	PROPN
esrj-75821	323	2	(	(	PUNCT
esrj-75821	323	3	1995	1995	NUM
esrj-75821	323	4	)	)	PUNCT
esrj-75821	323	5	.	.	PUNCT
esrj-75821	324	1	iranian	iranian	ADJ
esrj-75821	324	2	classification	classification	NOUN
esrj-75821	324	3	of	of	ADP
esrj-75821	324	4	desertification	desertification	NOUN
esrj-75821	324	5	method	method	NOUN
esrj-75821	324	6	.	.	PUNCT
esrj-75821	325	1	second	second	ADJ
esrj-75821	325	2	national	national	ADJ
esrj-75821	325	3	conference	conference	NOUN
esrj-75821	325	4	of	of	ADP
esrj-75821	325	5	desertification	desertification	NOUN
esrj-75821	325	6	and	and	CCONJ
esrj-75821	325	7	combating	combat	VERB
esrj-75821	325	8	desertification	desertification	NOUN
esrj-75821	325	9	methods	method	NOUN
esrj-75821	325	10	,	,	PUNCT
esrj-75821	325	11	kerman	kerman	NOUN
esrj-75821	325	12	,	,	PUNCT
esrj-75821	325	13	iran	iran	PROPN
esrj-75821	325	14	,	,	PUNCT
esrj-75821	325	15	121	121	NUM
esrj-75821	325	16	-	-	SYM
esrj-75821	325	17	134	134	NUM
esrj-75821	325	18	.	.	PUNCT
esrj-75821	326	1	emamgholizadeh	emamgholizadeh	PROPN
esrj-75821	326	2	,	,	PUNCT
esrj-75821	326	3	s.	s.	PROPN
esrj-75821	326	4	,	,	PUNCT
esrj-75821	326	5	moslemi	moslemi	PROPN
esrj-75821	326	6	,	,	PUNCT
esrj-75821	326	7	k.	k.	PROPN
esrj-75821	326	8	,	,	PUNCT
esrj-75821	326	9	&	&	CCONJ
esrj-75821	326	10	karami	karami	PROPN
esrj-75821	326	11	,	,	PUNCT
esrj-75821	326	12	g.	g.	PROPN
esrj-75821	326	13	(	(	PUNCT
esrj-75821	326	14	2014	2014	NUM
esrj-75821	326	15	)	)	PUNCT
esrj-75821	326	16	.	.	PUNCT
esrj-75821	327	1	prediction	prediction	VERB
esrj-75821	327	2	the	the	DET
esrj-75821	327	3	groundwater	groundwater	NOUN
esrj-75821	327	4	level	level	NOUN
esrj-75821	327	5	of	of	ADP
esrj-75821	327	6	bastam	bastam	NOUN
esrj-75821	327	7	plain	plain	ADJ
esrj-75821	327	8	(	(	PUNCT
esrj-75821	327	9	iran	iran	PROPN
esrj-75821	327	10	)	)	PUNCT
esrj-75821	327	11	by	by	ADP
esrj-75821	327	12	artificial	artificial	ADJ
esrj-75821	327	13	neural	neural	ADJ
esrj-75821	327	14	network	network	NOUN
esrj-75821	327	15	(	(	PUNCT
esrj-75821	327	16	ann	ann	PROPN
esrj-75821	327	17	)	)	PUNCT
esrj-75821	327	18	and	and	CCONJ
esrj-75821	327	19	adaptive	adaptive	ADJ
esrj-75821	327	20	neuro	neuro	NOUN
esrj-75821	327	21	-	-	PUNCT
esrj-75821	327	22	fuzzy	fuzzy	ADJ
esrj-75821	327	23	inference	inference	NOUN
esrj-75821	327	24	system	system	NOUN
esrj-75821	327	25	(	(	PUNCT
esrj-75821	327	26	anfis	anfis	PROPN
esrj-75821	327	27	)	)	PUNCT
esrj-75821	327	28	.	.	PUNCT
esrj-75821	328	1	water	water	NOUN
esrj-75821	328	2	resources	resource	NOUN
esrj-75821	328	3	management	management	NOUN
esrj-75821	328	4	,	,	PUNCT
esrj-75821	328	5	28	28	NUM
esrj-75821	328	6	,	,	PUNCT
esrj-75821	328	7	5433	5433	NUM
esrj-75821	328	8	-	-	SYM
esrj-75821	328	9	5446	5446	NUM
esrj-75821	328	10	.	.	PUNCT
esrj-75821	329	1	doi	doi	NOUN
esrj-75821	329	2	:	:	PUNCT
esrj-75821	329	3	10.1007	10.1007	NUM
esrj-75821	329	4	/	/	SYM
esrj-75821	329	5	s11269	s11269	NOUN
esrj-75821	329	6	-	-	PUNCT
esrj-75821	329	7	0140810	0140810	NUM
esrj-75821	329	8	-	-	SYM
esrj-75821	329	9	0	0	NUM
esrj-75821	329	10	ennouri	ennouri	PROPN
esrj-75821	329	11	,	,	PUNCT
esrj-75821	329	12	k.	k.	PROPN
esrj-75821	329	13	,	,	PUNCT
esrj-75821	329	14	ben	ben	PROPN
esrj-75821	329	15	ayed	aye	VERB
esrj-75821	329	16	,	,	PUNCT
esrj-75821	329	17	r.	r.	PROPN
esrj-75821	329	18	,	,	PUNCT
esrj-75821	329	19	triki	triki	PROPN
esrj-75821	329	20	,	,	PUNCT
esrj-75821	329	21	m.	m.	NOUN
esrj-75821	329	22	a.	a.	PROPN
esrj-75821	329	23	,	,	PUNCT
esrj-75821	329	24	ottaviani	ottaviani	PROPN
esrj-75821	329	25	,	,	PUNCT
esrj-75821	329	26	e.	e.	PROPN
esrj-75821	329	27	,	,	PUNCT
esrj-75821	329	28	mazzarello	mazzarello	PROPN
esrj-75821	329	29	,	,	PUNCT
esrj-75821	329	30	m.	m.	NOUN
esrj-75821	329	31	,	,	PUNCT
esrj-75821	329	32	hertelli	hertelli	PROPN
esrj-75821	329	33	,	,	PUNCT
esrj-75821	329	34	f.	f.	PROPN
esrj-75821	329	35	,	,	PUNCT
esrj-75821	329	36	&	&	CCONJ
esrj-75821	329	37	zouari	zouari	ADJ
esrj-75821	329	38	,	,	PUNCT
esrj-75821	329	39	n.	n.	NOUN
esrj-75821	329	40	(	(	PUNCT
esrj-75821	329	41	2017	2017	NUM
esrj-75821	329	42	)	)	PUNCT
esrj-75821	329	43	.	.	PUNCT
esrj-75821	330	1	multiple	multiple	ADJ
esrj-75821	330	2	linear	linear	ADJ
esrj-75821	330	3	regression	regression	NOUN
esrj-75821	330	4	and	and	CCONJ
esrj-75821	330	5	artificial	artificial	ADJ
esrj-75821	330	6	neural	neural	ADJ
esrj-75821	330	7	networks	network	NOUN
esrj-75821	330	8	for	for	ADP
esrj-75821	330	9	delta	delta	NOUN
esrj-75821	330	10	-	-	PUNCT
esrj-75821	330	11	endotoxin	endotoxin	NOUN
esrj-75821	330	12	and	and	CCONJ
esrj-75821	330	13	protease	protease	NOUN
esrj-75821	330	14	yields	yield	NOUN
esrj-75821	330	15	modelling	modelling	NOUN
esrj-75821	330	16	of	of	ADP
esrj-75821	330	17	bacillus	bacillus	NOUN
esrj-75821	330	18	thuringiensis	thuringiensis	NOUN
esrj-75821	330	19	.	.	PUNCT
esrj-75821	331	1	3	3	NUM
esrj-75821	331	2	biotech	biotech	NOUN
esrj-75821	331	3	,	,	PUNCT
esrj-75821	331	4	7(3	7(3	NUM
esrj-75821	331	5	)	)	PUNCT
esrj-75821	331	6	.	.	PUNCT
esrj-75821	332	1	doi	doi	NOUN
esrj-75821	332	2	:	:	PUNCT
esrj-75821	332	3	10.1007	10.1007	NUM
esrj-75821	332	4	/	/	SYM
esrj-75821	332	5	s13205	s13205	NOUN
esrj-75821	332	6	-	-	PUNCT
esrj-75821	332	7	017	017	NUM
esrj-75821	332	8	-	-	PUNCT
esrj-75821	332	9	0799	0799	NUM
esrj-75821	332	10	-	-	PUNCT
esrj-75821	332	11	1	1	NUM
esrj-75821	332	12	esen	esen	ADJ
esrj-75821	332	13	,	,	PUNCT
esrj-75821	332	14	h.	h.	PROPN
esrj-75821	332	15	,	,	PUNCT
esrj-75821	332	16	&	&	CCONJ
esrj-75821	332	17	inalli	inalli	PROPN
esrj-75821	332	18	,	,	PUNCT
esrj-75821	332	19	m.	m.	NOUN
esrj-75821	332	20	(	(	PUNCT
esrj-75821	332	21	2010	2010	NUM
esrj-75821	332	22	)	)	PUNCT
esrj-75821	332	23	.	.	PUNCT
esrj-75821	333	1	ann	ann	PROPN
esrj-75821	333	2	and	and	CCONJ
esrj-75821	333	3	anfis	anfis	PROPN
esrj-75821	333	4	models	model	NOUN
esrj-75821	333	5	for	for	ADP
esrj-75821	333	6	performance	performance	NOUN
esrj-75821	333	7	evaluation	evaluation	NOUN
esrj-75821	333	8	of	of	ADP
esrj-75821	333	9	a	a	DET
esrj-75821	333	10	vertical	vertical	ADJ
esrj-75821	333	11	ground	ground	NOUN
esrj-75821	333	12	source	source	NOUN
esrj-75821	333	13	heat	heat	NOUN
esrj-75821	333	14	pump	pump	NOUN
esrj-75821	333	15	system	system	NOUN
esrj-75821	333	16	.	.	PUNCT
esrj-75821	334	1	expert	expert	NOUN
esrj-75821	334	2	systems	system	NOUN
esrj-75821	334	3	with	with	ADP
esrj-75821	334	4	applications	application	NOUN
esrj-75821	334	5	:	:	PUNCT
esrj-75821	334	6	an	an	DET
esrj-75821	334	7	international	international	ADJ
esrj-75821	334	8	journal	journal	NOUN
esrj-75821	334	9	,	,	PUNCT
esrj-75821	334	10	37(12	37(12	NUM
esrj-75821	334	11	)	)	PUNCT
esrj-75821	334	12	,	,	PUNCT
esrj-75821	334	13	81	81	NUM
esrj-75821	334	14	-	-	PUNCT
esrj-75821	334	15	348147	348147	NUM
esrj-75821	334	16	.	.	PUNCT
esrj-75821	335	1	doi	doi	NOUN
esrj-75821	335	2	:	:	PUNCT
esrj-75821	335	3	10.1016	10.1016	NUM
esrj-75821	335	4	/	/	SYM
esrj-75821	335	5	j.eswa.2010.05.074	j.eswa.2010.05.074	PROPN
esrj-75821	335	6	fao	fao	PROPN
esrj-75821	335	7	(	(	PUNCT
esrj-75821	335	8	2002	2002	NUM
esrj-75821	335	9	)	)	PUNCT
esrj-75821	335	10	.	.	PUNCT
esrj-75821	336	1	land	land	NOUN
esrj-75821	336	2	degradation	degradation	NOUN
esrj-75821	336	3	assessment	assessment	NOUN
esrj-75821	336	4	in	in	ADP
esrj-75821	336	5	dry	dry	ADJ
esrj-75821	336	6	lands	land	NOUN
esrj-75821	336	7	:	:	PUNCT
esrj-75821	336	8	lada	lada	PROPN
esrj-75821	336	9	.	.	PUNCT
esrj-75821	337	1	fao	fao	PROPN
esrj-75821	337	2	,	,	PUNCT
esrj-75821	337	3	rome	rome	PROPN
esrj-75821	337	4	.	.	PUNCT
esrj-75821	338	1	fao	fao	PROPN
esrj-75821	338	2	–	–	PUNCT
esrj-75821	338	3	unep	unep	NOUN
esrj-75821	338	4	.	.	PUNCT
esrj-75821	339	1	(	(	PUNCT
esrj-75821	339	2	1984	1984	NUM
esrj-75821	339	3	)	)	PUNCT
esrj-75821	339	4	.	.	PUNCT
esrj-75821	340	1	provisional	provisional	ADJ
esrj-75821	340	2	methodology	methodology	NOUN
esrj-75821	340	3	for	for	ADP
esrj-75821	340	4	assessment	assessment	NOUN
esrj-75821	340	5	and	and	CCONJ
esrj-75821	340	6	mapping	mapping	NOUN
esrj-75821	340	7	of	of	ADP
esrj-75821	340	8	desertification	desertification	NOUN
esrj-75821	340	9	.	.	PUNCT
esrj-75821	341	1	fao	fao	PROPN
esrj-75821	341	2	,	,	PUNCT
esrj-75821	341	3	rome	rome	PROPN
esrj-75821	341	4	,	,	PUNCT
esrj-75821	341	5	84	84	NUM
esrj-75821	341	6	p.	p.	NOUN
esrj-75821	341	7	fensholt	fensholt	NOUN
esrj-75821	341	8	,	,	PUNCT
esrj-75821	341	9	r.	r.	PROPN
esrj-75821	341	10	,	,	PUNCT
esrj-75821	341	11	langanke	langanke	ADJ
esrj-75821	341	12	,	,	PUNCT
esrj-75821	341	13	t.	t.	PROPN
esrj-75821	341	14	,	,	PUNCT
esrj-75821	341	15	rasmussen	rasmussen	PROPN
esrj-75821	341	16	,	,	PUNCT
esrj-75821	341	17	k.	k.	PROPN
esrj-75821	341	18	,	,	PUNCT
esrj-75821	341	19	reenberg	reenberg	PROPN
esrj-75821	341	20	,	,	PUNCT
esrj-75821	341	21	a.	a.	NOUN
esrj-75821	341	22	,	,	PUNCT
esrj-75821	341	23	prince	prince	PROPN
esrj-75821	341	24	,	,	PUNCT
esrj-75821	341	25	s.	s.	PROPN
esrj-75821	341	26	d.	d.	PROPN
esrj-75821	341	27	,	,	PUNCT
esrj-75821	341	28	tucker	tucker	PROPN
esrj-75821	341	29	,	,	PUNCT
esrj-75821	341	30	c.	c.	PROPN
esrj-75821	341	31	,	,	PUNCT
esrj-75821	341	32	...	...	PUNCT
esrj-75821	342	1	wessels	wessels	PROPN
esrj-75821	342	2	,	,	PUNCT
esrj-75821	342	3	k.	k.	PROPN
esrj-75821	342	4	(	(	PUNCT
esrj-75821	342	5	2012	2012	NUM
esrj-75821	342	6	)	)	PUNCT
esrj-75821	342	7	.	.	PUNCT
esrj-75821	343	1	greenness	greenness	NOUN
esrj-75821	343	2	in	in	ADP
esrj-75821	343	3	semi	semi	ADJ
esrj-75821	343	4	-	-	ADJ
esrj-75821	343	5	arid	arid	ADJ
esrj-75821	343	6	areas	area	NOUN
esrj-75821	343	7	across	across	ADP
esrj-75821	343	8	the	the	DET
esrj-75821	343	9	globe	globe	NOUN
esrj-75821	343	10	1981	1981	NUM
esrj-75821	343	11	-	-	SYM
esrj-75821	343	12	2007	2007	NUM
esrj-75821	343	13	an	an	DET
esrj-75821	343	14	earth	earth	NOUN
esrj-75821	343	15	observing	observe	VERB
esrj-75821	343	16	satellite	satellite	NOUN
esrj-75821	343	17	based	base	VERB
esrj-75821	343	18	analysis	analysis	NOUN
esrj-75821	343	19	of	of	ADP
esrj-75821	343	20	trends	trend	NOUN
esrj-75821	343	21	and	and	CCONJ
esrj-75821	343	22	drivers	driver	NOUN
esrj-75821	343	23	.	.	PUNCT
esrj-75821	344	1	remote	remote	ADJ
esrj-75821	344	2	sensing	sensing	NOUN
esrj-75821	344	3	of	of	ADP
esrj-75821	344	4	environment	environment	NOUN
esrj-75821	344	5	,	,	PUNCT
esrj-75821	344	6	121	121	NUM
esrj-75821	344	7	,	,	PUNCT
esrj-75821	344	8	144	144	NUM
esrj-75821	344	9	-	-	SYM
esrj-75821	344	10	158	158	NUM
esrj-75821	344	11	.	.	PUNCT
esrj-75821	345	1	doi	doi	NOUN
esrj-75821	345	2	:	:	PUNCT
esrj-75821	345	3	10.1016	10.1016	NUM
esrj-75821	345	4	/	/	SYM
esrj-75821	345	5	j.rse.2012.01.017	j.rse.2012.01.017	NOUN
esrj-75821	345	6	ferrara	ferrara	NOUN
esrj-75821	345	7	,	,	PUNCT
esrj-75821	345	8	a.	a.	NOUN
esrj-75821	345	9	,	,	PUNCT
esrj-75821	345	10	kosmas	kosmas	PROPN
esrj-75821	345	11	,	,	PUNCT
esrj-75821	345	12	c.	c.	PROPN
esrj-75821	345	13	,	,	PUNCT
esrj-75821	345	14	salvati	salvati	PROPN
esrj-75821	345	15	,	,	PUNCT
esrj-75821	345	16	l.	l.	PROPN
esrj-75821	345	17	,	,	PUNCT
esrj-75821	345	18	padula	padula	NOUN
esrj-75821	345	19	,	,	PUNCT
esrj-75821	345	20	a.	a.	NOUN
esrj-75821	345	21	,	,	PUNCT
esrj-75821	345	22	mancino	mancino	NOUN
esrj-75821	345	23	,	,	PUNCT
esrj-75821	345	24	g.	g.	PROPN
esrj-75821	345	25	,	,	PUNCT
esrj-75821	345	26	&	&	CCONJ
esrj-75821	345	27	nolè	nolè	PROPN
esrj-75821	345	28	,	,	PUNCT
esrj-75821	345	29	a.	a.	NOUN
esrj-75821	345	30	(	(	PUNCT
esrj-75821	345	31	2020	2020	NUM
esrj-75821	345	32	)	)	PUNCT
esrj-75821	345	33	.	.	PUNCT
esrj-75821	346	1	updating	update	VERB
esrj-75821	346	2	the	the	DET
esrj-75821	346	3	medalus	medalus	ADJ
esrj-75821	346	4	-	-	PUNCT
esrj-75821	346	5	esa	esa	NOUN
esrj-75821	346	6	framework	framework	NOUN
esrj-75821	346	7	for	for	ADP
esrj-75821	346	8	worldwide	worldwide	ADJ
esrj-75821	346	9	land	land	NOUN
esrj-75821	346	10	degradation	degradation	NOUN
esrj-75821	346	11	and	and	CCONJ
esrj-75821	346	12	desertification	desertification	NOUN
esrj-75821	346	13	assessment	assessment	NOUN
esrj-75821	346	14	.	.	PUNCT
esrj-75821	347	1	land	land	NOUN
esrj-75821	347	2	degradation	degradation	NOUN
esrj-75821	347	3	and	and	CCONJ
esrj-75821	347	4	development	development	NOUN
esrj-75821	347	5	,	,	PUNCT
esrj-75821	347	6	31(12	31(12	NUM
esrj-75821	347	7	)	)	PUNCT
esrj-75821	347	8	,	,	PUNCT
esrj-75821	347	9	1593	1593	NUM
esrj-75821	347	10	-	-	SYM
esrj-75821	347	11	1607	1607	NUM
esrj-75821	347	12	.	.	PUNCT
esrj-75821	348	1	https://doi.org/10.1002/ldr.3559	https://doi.org/10.1002/ldr.3559	PROPN
esrj-75821	348	2	gong	gong	PROPN
esrj-75821	348	3	,	,	PUNCT
esrj-75821	348	4	y.	y.	PROPN
esrj-75821	348	5	,	,	PUNCT
esrj-75821	348	6	wang	wang	PROPN
esrj-75821	348	7	,	,	PUNCT
esrj-75821	348	8	z.	z.	PROPN
esrj-75821	348	9	,	,	PUNCT
esrj-75821	348	10	xu	xu	PROPN
esrj-75821	348	11	,	,	PUNCT
esrj-75821	348	12	g.	g.	PROPN
esrj-75821	348	13	,	,	PUNCT
esrj-75821	348	14	&	&	CCONJ
esrj-75821	348	15	zhang	zhang	PROPN
esrj-75821	348	16	,	,	PUNCT
esrj-75821	348	17	z.	z.	PROPN
esrj-75821	348	18	(	(	PUNCT
esrj-75821	348	19	2018	2018	NUM
esrj-75821	348	20	)	)	PUNCT
esrj-75821	348	21	.	.	PUNCT
esrj-75821	349	1	a	a	DET
esrj-75821	349	2	comparative	comparative	ADJ
esrj-75821	349	3	study	study	NOUN
esrj-75821	349	4	of	of	ADP
esrj-75821	349	5	groundwater	groundwater	NOUN
esrj-75821	349	6	level	level	NOUN
esrj-75821	349	7	forecasting	forecasting	NOUN
esrj-75821	349	8	using	use	VERB
esrj-75821	349	9	data	data	NOUN
esrj-75821	349	10	-	-	PUNCT
esrj-75821	349	11	driven	drive	VERB
esrj-75821	349	12	models	model	NOUN
esrj-75821	349	13	based	base	VERB
esrj-75821	349	14	on	on	ADP
esrj-75821	349	15	ensemble	ensemble	ADJ
esrj-75821	349	16	empirical	empirical	ADJ
esrj-75821	349	17	mode	mode	NOUN
esrj-75821	349	18	decomposition	decomposition	NOUN
esrj-75821	349	19	.	.	PUNCT
esrj-75821	350	1	water	water	NOUN
esrj-75821	350	2	,	,	PUNCT
esrj-75821	350	3	10	10	NUM
esrj-75821	350	4	730	730	NUM
esrj-75821	350	5	,	,	PUNCT
esrj-75821	350	6	1	1	NUM
esrj-75821	350	7	-	-	SYM
esrj-75821	350	8	20	20	NUM
esrj-75821	350	9	.	.	PUNCT
esrj-75821	351	1	doi	doi	NOUN
esrj-75821	351	2	:	:	PUNCT
esrj-75821	351	3	10.3390	10.3390	NUM
esrj-75821	351	4	/	/	SYM
esrj-75821	351	5	w10060730	w10060730	NUM
esrj-75821	351	6	gad	gad	PROPN
esrj-75821	351	7	,	,	PUNCT
esrj-75821	351	8	m.	m.	NOUN
esrj-75821	351	9	,	,	PUNCT
esrj-75821	351	10	el	el	PROPN
esrj-75821	351	11	-	-	NOUN
esrj-75821	351	12	hendawy	hendawy	PROPN
esrj-75821	351	13	,	,	PUNCT
esrj-75821	351	14	s.	s.	PROPN
esrj-75821	351	15	,	,	PUNCT
esrj-75821	351	16	al	al	PROPN
esrj-75821	351	17	-	-	PUNCT
esrj-75821	351	18	suhaibani	suhaibani	PROPN
esrj-75821	351	19	,	,	PUNCT
esrj-75821	351	20	n.	n.	NOUN
esrj-75821	351	21	,	,	PUNCT
esrj-75821	351	22	tahir	tahir	PROPN
esrj-75821	351	23	,	,	PUNCT
esrj-75821	351	24	m.	m.	NOUN
esrj-75821	351	25	u.	u.	PROPN
esrj-75821	351	26	,	,	PUNCT
esrj-75821	351	27	mubushar	mubushar	ADJ
esrj-75821	351	28	,	,	PUNCT
esrj-75821	351	29	m.	m.	NOUN
esrj-75821	351	30	,	,	PUNCT
esrj-75821	351	31	&	&	CCONJ
esrj-75821	351	32	elsayed	elsaye	VERB
esrj-75821	351	33	,	,	PUNCT
esrj-75821	351	34	s.	s.	PROPN
esrj-75821	351	35	(	(	PUNCT
esrj-75821	351	36	2020	2020	NUM
esrj-75821	351	37	)	)	PUNCT
esrj-75821	351	38	.	.	PUNCT
esrj-75821	352	1	combining	combine	VERB
esrj-75821	352	2	hydrogeochemical	hydrogeochemical	ADJ
esrj-75821	352	3	characterization	characterization	NOUN
esrj-75821	352	4	and	and	CCONJ
esrj-75821	352	5	a	a	DET
esrj-75821	352	6	hyperspectral	hyperspectral	ADJ
esrj-75821	352	7	reflectance	reflectance	NOUN
esrj-75821	352	8	tool	tool	NOUN
esrj-75821	352	9	for	for	ADP
esrj-75821	352	10	assessing	assess	VERB
esrj-75821	352	11	quality	quality	NOUN
esrj-75821	352	12	and	and	CCONJ
esrj-75821	352	13	suitability	suitability	NOUN
esrj-75821	352	14	of	of	ADP
esrj-75821	352	15	two	two	NUM
esrj-75821	352	16	groundwater	groundwater	NOUN
esrj-75821	352	17	resources	resource	NOUN
esrj-75821	352	18	for	for	ADP
esrj-75821	352	19	irrigation	irrigation	NOUN
esrj-75821	352	20	in	in	ADP
esrj-75821	352	21	egypt	egypt	PROPN
esrj-75821	352	22	.	.	PUNCT
esrj-75821	353	1	water	water	PROPN
esrj-75821	353	2	,	,	PUNCT
esrj-75821	353	3	12(8	12(8	NUM
esrj-75821	353	4	)	)	PUNCT
esrj-75821	353	5	,	,	PUNCT
esrj-75821	353	6	2169	2169	NUM
esrj-75821	353	7	.	.	PUNCT
esrj-75821	354	1	https://doi.org/10.3390/w12082169	https://doi.org/10.3390/w12082169	NUM
esrj-75821	354	2	grabs	grab	NOUN
esrj-75821	354	3	,	,	PUNCT
esrj-75821	354	4	t.	t.	PROPN
esrj-75821	354	5	,	,	PUNCT
esrj-75821	354	6	seibert	seibert	PROPN
esrj-75821	354	7	,	,	PUNCT
esrj-75821	354	8	j.	j.	PROPN
esrj-75821	354	9	,	,	PUNCT
esrj-75821	354	10	bishop	bishop	PROPN
esrj-75821	354	11	,	,	PUNCT
esrj-75821	354	12	k.	k.	PROPN
esrj-75821	354	13	,	,	PUNCT
esrj-75821	354	14	&	&	CCONJ
esrj-75821	354	15	laudon	laudon	PROPN
esrj-75821	354	16	,	,	PUNCT
esrj-75821	354	17	h.	h.	PROPN
esrj-75821	354	18	(	(	PUNCT
esrj-75821	354	19	2009	2009	NUM
esrj-75821	354	20	)	)	PUNCT
esrj-75821	354	21	.	.	PUNCT
esrj-75821	355	1	modeling	model	VERB
esrj-75821	355	2	spatial	spatial	ADJ
esrj-75821	355	3	patterns	pattern	NOUN
esrj-75821	355	4	of	of	ADP
esrj-75821	355	5	saturated	saturated	ADJ
esrj-75821	355	6	areas	area	NOUN
esrj-75821	355	7	:	:	PUNCT
esrj-75821	355	8	a	a	DET
esrj-75821	355	9	comparison	comparison	NOUN
esrj-75821	355	10	of	of	ADP
esrj-75821	355	11	the	the	DET
esrj-75821	355	12	topographic	topographic	PROPN
esrj-75821	355	13	wetness	wetness	PROPN
esrj-75821	355	14	index	index	NOUN
esrj-75821	355	15	and	and	CCONJ
esrj-75821	355	16	a	a	DET
esrj-75821	355	17	dynamic	dynamic	ADJ
esrj-75821	355	18	distributed	distribute	VERB
esrj-75821	355	19	model	model	NOUN
esrj-75821	355	20	.	.	PUNCT
esrj-75821	356	1	journal	journal	PROPN
esrj-75821	356	2	of	of	ADP
esrj-75821	356	3	hydrology	hydrology	NOUN
esrj-75821	356	4	,	,	PUNCT
esrj-75821	356	5	373(12	373(12	NUM
esrj-75821	356	6	)	)	PUNCT
esrj-75821	356	7	,	,	PUNCT
esrj-75821	356	8	15	15	NUM
esrj-75821	356	9	-	-	SYM
esrj-75821	356	10	23	23	NUM
esrj-75821	356	11	.	.	PUNCT
esrj-75821	357	1	doi	doi	NOUN
esrj-75821	357	2	:	:	PUNCT
esrj-75821	357	3	10.1016	10.1016	NUM
esrj-75821	357	4	/	/	SYM
esrj-75821	357	5	j.jhydrol.2009.03.031	j.jhydrol.2009.03.031	PROPN
esrj-75821	357	6	humbert	humbert	PROPN
esrj-75821	357	7	,	,	PUNCT
esrj-75821	357	8	g.	g.	PROPN
esrj-75821	357	9	,	,	PUNCT
esrj-75821	357	10	jaffrezic	jaffrezic	PROPN
esrj-75821	357	11	,	,	PUNCT
esrj-75821	357	12	a.	a.	NOUN
esrj-75821	357	13	,	,	PUNCT
esrj-75821	357	14	fovet	fovet	NOUN
esrj-75821	357	15	,	,	PUNCT
esrj-75821	357	16	o.	o.	NOUN
esrj-75821	357	17	,	,	PUNCT
esrj-75821	357	18	gruau	gruau	PROPN
esrj-75821	357	19	,	,	PUNCT
esrj-75821	357	20	g.	g.	PROPN
esrj-75821	357	21	,	,	PUNCT
esrj-75821	357	22	&	&	CCONJ
esrj-75821	357	23	durand	durand	PROPN
esrj-75821	357	24	,	,	PUNCT
esrj-75821	357	25	p.	p.	NOUN
esrj-75821	357	26	(	(	PUNCT
esrj-75821	357	27	2015	2015	NUM
esrj-75821	357	28	)	)	PUNCT
esrj-75821	357	29	.	.	PUNCT
esrj-75821	358	1	dryseason	dryseason	PROPN
esrj-75821	358	2	length	length	NOUN
esrj-75821	358	3	and	and	CCONJ
esrj-75821	358	4	runoff	runoff	NOUN
esrj-75821	358	5	control	control	NOUN
esrj-75821	358	6	annual	annual	ADJ
esrj-75821	358	7	variability	variability	NOUN
esrj-75821	358	8	in	in	ADP
esrj-75821	358	9	stream	stream	PROPN
esrj-75821	358	10	doc	doc	PROPN
esrj-75821	358	11	dynamics	dynamic	NOUN
esrj-75821	358	12	in	in	ADP
esrj-75821	358	13	a	a	DET
esrj-75821	358	14	small	small	ADJ
esrj-75821	358	15	,	,	PUNCT
esrj-75821	358	16	shallow	shallow	ADJ
esrj-75821	358	17	groundwater	groundwater	NOUN
esrj-75821	358	18	-	-	PUNCT
esrj-75821	358	19	dominated	dominate	VERB
esrj-75821	358	20	agricultural	agricultural	ADJ
esrj-75821	358	21	watershed	watershed	NOUN
esrj-75821	358	22	.	.	PUNCT
esrj-75821	359	1	water	water	NOUN
esrj-75821	359	2	resources	resource	NOUN
esrj-75821	359	3	research	research	NOUN
esrj-75821	359	4	,	,	PUNCT
esrj-75821	359	5	51(10	51(10	NUM
esrj-75821	359	6	)	)	PUNCT
esrj-75821	359	7	,	,	PUNCT
esrj-75821	359	8	7860	7860	NUM
esrj-75821	359	9	-	-	SYM
esrj-75821	359	10	7877	7877	NUM
esrj-75821	359	11	.	.	PUNCT
esrj-75821	360	1	doi	doi	NOUN
esrj-75821	360	2	:	:	PUNCT
esrj-75821	360	3	10.1002/2015wr017336	10.1002/2015wr017336	NUM
esrj-75821	360	4	ibrahim	ibrahim	PROPN
esrj-75821	360	5	,	,	PUNCT
esrj-75821	360	6	n.	n.	PROPN
esrj-75821	360	7	,	,	PUNCT
esrj-75821	360	8	&	&	CCONJ
esrj-75821	360	9	wibowo	wibowo	PROPN
esrj-75821	360	10	,	,	PUNCT
esrj-75821	360	11	a.	a.	NOUN
esrj-75821	360	12	(	(	PUNCT
esrj-75821	360	13	2013	2013	NUM
esrj-75821	360	14	)	)	PUNCT
esrj-75821	360	15	.	.	PUNCT
esrj-75821	361	1	partial	partial	ADJ
esrj-75821	361	2	least	least	ADJ
esrj-75821	361	3	squares	square	NOUN
esrj-75821	361	4	regression	regression	NOUN
esrj-75821	361	5	based	base	VERB
esrj-75821	361	6	variables	variable	NOUN
esrj-75821	361	7	selection	selection	NOUN
esrj-75821	361	8	for	for	ADP
esrj-75821	361	9	water	water	NOUN
esrj-75821	361	10	level	level	NOUN
esrj-75821	361	11	predictions	prediction	NOUN
esrj-75821	361	12	.	.	PUNCT
esrj-75821	362	1	american	american	ADJ
esrj-75821	362	2	journal	journal	PROPN
esrj-75821	362	3	of	of	ADP
esrj-75821	362	4	applied	apply	VERB
esrj-75821	362	5	sciences	science	NOUN
esrj-75821	362	6	,	,	PUNCT
esrj-75821	362	7	10(4	10(4	NUM
esrj-75821	362	8	)	)	PUNCT
esrj-75821	362	9	,	,	PUNCT
esrj-75821	362	10	322	322	NUM
esrj-75821	362	11	-	-	SYM
esrj-75821	362	12	330	330	NUM
esrj-75821	362	13	.	.	PUNCT
esrj-75821	363	1	doi	doi	NOUN
esrj-75821	363	2	:	:	PUNCT
esrj-75821	363	3	10.3844	10.3844	NUM
esrj-75821	363	4	/	/	SYM
esrj-75821	363	5	ajassp.2013.322.330	ajassp.2013.322.330	X
esrj-75821	363	6	jafari	jafari	X
esrj-75821	363	7	,	,	PUNCT
esrj-75821	363	8	k.	k.	PROPN
esrj-75821	363	9	,	,	PUNCT
esrj-75821	363	10	asghari	asghari	PROPN
esrj-75821	363	11	,	,	PUNCT
esrj-75821	363	12	f.	f.	PROPN
esrj-75821	363	13	b.	b.	PROPN
esrj-75821	363	14	,	,	PUNCT
esrj-75821	363	15	hoseinzadeh	hoseinzadeh	PROPN
esrj-75821	363	16	,	,	PUNCT
esrj-75821	363	17	e.	e.	PROPN
esrj-75821	363	18	,	,	PUNCT
esrj-75821	363	19	heidari	heidari	PROPN
esrj-75821	363	20	,	,	PUNCT
esrj-75821	363	21	z.	z.	PROPN
esrj-75821	363	22	,	,	PUNCT
esrj-75821	363	23	radfard	radfard	NOUN
esrj-75821	363	24	,	,	PUNCT
esrj-75821	363	25	m.	m.	NOUN
esrj-75821	363	26	,	,	PUNCT
esrj-75821	363	27	saleh	saleh	NOUN
esrj-75821	363	28	,	,	PUNCT
esrj-75821	363	29	h.	h.	PROPN
esrj-75821	363	30	n.	n.	PROPN
esrj-75821	363	31	,	,	PUNCT
esrj-75821	363	32	&	&	CCONJ
esrj-75821	363	33	faraji	faraji	PROPN
esrj-75821	363	34	,	,	PUNCT
esrj-75821	363	35	h.	h.	PROPN
esrj-75821	363	36	(	(	PUNCT
esrj-75821	363	37	2018	2018	NUM
esrj-75821	363	38	)	)	PUNCT
esrj-75821	363	39	.	.	PUNCT
esrj-75821	364	1	groundwater	groundwater	NOUN
esrj-75821	364	2	quality	quality	NOUN
esrj-75821	364	3	assessment	assessment	NOUN
esrj-75821	364	4	for	for	ADP
esrj-75821	364	5	drinking	drinking	NOUN
esrj-75821	364	6	and	and	CCONJ
esrj-75821	364	7	agriculture	agriculture	NOUN
esrj-75821	364	8	purposes	purpose	NOUN
esrj-75821	364	9	in	in	ADP
esrj-75821	364	10	abhar	abhar	PROPN
esrj-75821	364	11	city	city	NOUN
esrj-75821	364	12	,	,	PUNCT
esrj-75821	364	13	iran	iran	PROPN
esrj-75821	364	14	.	.	PUNCT
esrj-75821	365	1	data	datum	NOUN
esrj-75821	365	2	in	in	ADP
esrj-75821	365	3	brief	brief	ADJ
esrj-75821	365	4	,	,	PUNCT
esrj-75821	365	5	19	19	NUM
esrj-75821	365	6	,	,	PUNCT
esrj-75821	365	7	10331039	10331039	NUM
esrj-75821	365	8	.	.	PUNCT
esrj-75821	366	1	https://doi.org/10.1016/j.dib.2018.05.096	https://doi.org/10.1016/j.dib.2018.05.096	PROPN
esrj-75821	366	2	jang	jang	PROPN
esrj-75821	366	3	,	,	PUNCT
esrj-75821	366	4	j.	j.	PROPN
esrj-75821	366	5	s.	s.	PROPN
esrj-75821	366	6	r.	r.	PROPN
esrj-75821	366	7	(	(	PUNCT
esrj-75821	366	8	1993	1993	NUM
esrj-75821	366	9	)	)	PUNCT
esrj-75821	366	10	.	.	PUNCT
esrj-75821	367	1	anfis	anfis	PROPN
esrj-75821	367	2	:	:	PUNCT
esrj-75821	367	3	adaptive	adaptive	ADJ
esrj-75821	367	4	-	-	PUNCT
esrj-75821	367	5	network	network	NOUN
esrj-75821	367	6	-	-	PUNCT
esrj-75821	367	7	based	base	VERB
esrj-75821	367	8	fuzzy	fuzzy	ADJ
esrj-75821	367	9	inference	inference	NOUN
esrj-75821	367	10	system	system	NOUN
esrj-75821	367	11	.	.	PUNCT
esrj-75821	368	1	ieee	ieee	NOUN
esrj-75821	368	2	transactions	transaction	NOUN
esrj-75821	368	3	on	on	ADP
esrj-75821	368	4	systems	system	NOUN
esrj-75821	368	5	,	,	PUNCT
esrj-75821	368	6	man	man	NOUN
esrj-75821	368	7	and	and	CCONJ
esrj-75821	368	8	cybernetics	cybernetic	NOUN
esrj-75821	368	9	,	,	PUNCT
esrj-75821	368	10	23(3	23(3	NUM
esrj-75821	368	11	)	)	PUNCT
esrj-75821	368	12	,	,	PUNCT
esrj-75821	368	13	665	665	NUM
esrj-75821	368	14	-	-	SYM
esrj-75821	368	15	685	685	NUM
esrj-75821	368	16	.	.	PUNCT
esrj-75821	369	1	doi	doi	NOUN
esrj-75821	369	2	:	:	PUNCT
esrj-75821	369	3	10.1109/21.256541	10.1109/21.256541	PROPN
esrj-75821	369	4	jeihouni	jeihouni	PROPN
esrj-75821	369	5	,	,	PUNCT
esrj-75821	369	6	m.	m.	NOUN
esrj-75821	369	7	,	,	PUNCT
esrj-75821	369	8	delirhasannia	delirhasannia	PROPN
esrj-75821	369	9	,	,	PUNCT
esrj-75821	369	10	r.	r.	PROPN
esrj-75821	369	11	,	,	PUNCT
esrj-75821	369	12	alavipanah	alavipanah	PROPN
esrj-75821	369	13	,	,	PUNCT
esrj-75821	369	14	s.	s.	PROPN
esrj-75821	369	15	k.	k.	PROPN
esrj-75821	369	16	,	,	PUNCT
esrj-75821	369	17	&	&	CCONJ
esrj-75821	369	18	shahabi	shahabi	NOUN
esrj-75821	369	19	,	,	PUNCT
esrj-75821	369	20	m.	m.	NOUN
esrj-75821	369	21	(	(	PUNCT
esrj-75821	369	22	2015	2015	NUM
esrj-75821	369	23	)	)	PUNCT
esrj-75821	369	24	.	.	PUNCT
esrj-75821	370	1	spatial	spatial	ADJ
esrj-75821	370	2	analysis	analysis	NOUN
esrj-75821	370	3	of	of	ADP
esrj-75821	370	4	groundwater	groundwater	NOUN
esrj-75821	370	5	electrical	electrical	ADJ
esrj-75821	370	6	conductivity	conductivity	NOUN
esrj-75821	370	7	using	use	VERB
esrj-75821	370	8	ordinary	ordinary	ADJ
esrj-75821	370	9	kriging	krige	VERB
esrj-75821	370	10	and	and	CCONJ
esrj-75821	370	11	artificial	artificial	ADJ
esrj-75821	370	12	intelligence	intelligence	NOUN
esrj-75821	370	13	methods	method	NOUN
esrj-75821	370	14	(	(	PUNCT
esrj-75821	370	15	case	case	NOUN
esrj-75821	370	16	study	study	NOUN
esrj-75821	370	17	:	:	PUNCT
esrj-75821	370	18	tabriz	tabriz	NOUN
esrj-75821	370	19	plain	plain	PROPN
esrj-75821	370	20	,	,	PUNCT
esrj-75821	370	21	iran	iran	PROPN
esrj-75821	370	22	)	)	PUNCT
esrj-75821	370	23	.	.	PUNCT
esrj-75821	371	1	geofizika	geofizika	NOUN
esrj-75821	371	2	,	,	PUNCT
esrj-75821	371	3	32(5	32(5	NOUN
esrj-75821	371	4	)	)	PUNCT
esrj-75821	371	5	,	,	PUNCT
esrj-75821	371	6	191	191	NUM
esrj-75821	371	7	-	-	SYM
esrj-75821	371	8	208	208	NUM
esrj-75821	371	9	.	.	PUNCT
esrj-75821	372	1	doi	doi	NOUN
esrj-75821	372	2	:	:	PUNCT
esrj-75821	372	3	10.15233	10.15233	NUM
esrj-75821	372	4	/	/	SYM
esrj-75821	372	5	gfz.2015.32.9	gfz.2015.32.9	NOUN
esrj-75821	372	6	karimi	karimi	PROPN
esrj-75821	372	7	,	,	PUNCT
esrj-75821	372	8	p.	p.	PROPN
esrj-75821	372	9	,	,	PUNCT
esrj-75821	372	10	qureshi	qureshi	PROPN
esrj-75821	372	11	,	,	PUNCT
esrj-75821	372	12	a.	a.	PROPN
esrj-75821	372	13	s.	s.	PROPN
esrj-75821	372	14	,	,	PUNCT
esrj-75821	372	15	bahramloo	bahramloo	PROPN
esrj-75821	372	16	,	,	PUNCT
esrj-75821	372	17	r.	r.	PROPN
esrj-75821	372	18	,	,	PUNCT
esrj-75821	372	19	&	&	CCONJ
esrj-75821	372	20	molden	molden	PROPN
esrj-75821	372	21	,	,	PUNCT
esrj-75821	372	22	d.	d.	PROPN
esrj-75821	372	23	(	(	PUNCT
esrj-75821	372	24	2012	2012	NUM
esrj-75821	372	25	)	)	PUNCT
esrj-75821	372	26	.	.	PUNCT
esrj-75821	373	1	reducing	reduce	VERB
esrj-75821	373	2	carbon	carbon	NOUN
esrj-75821	373	3	emissions	emission	NOUN
esrj-75821	373	4	through	through	ADP
esrj-75821	373	5	improved	improve	VERB
esrj-75821	373	6	irrigation	irrigation	NOUN
esrj-75821	373	7	and	and	CCONJ
esrj-75821	373	8	groundwater	groundwater	NOUN
esrj-75821	373	9	management	management	NOUN
esrj-75821	373	10	:	:	PUNCT
esrj-75821	373	11	a	a	DET
esrj-75821	373	12	case	case	NOUN
esrj-75821	373	13	study	study	NOUN
esrj-75821	373	14	from	from	ADP
esrj-75821	373	15	iran	iran	PROPN
esrj-75821	373	16	.	.	PUNCT
esrj-75821	374	1	agricultural	agricultural	ADJ
esrj-75821	374	2	water	water	NOUN
esrj-75821	374	3	management	management	NOUN
esrj-75821	374	4	,	,	PUNCT
esrj-75821	374	5	108	108	NUM
esrj-75821	374	6	,	,	PUNCT
esrj-75821	374	7	52	52	NUM
esrj-75821	374	8	-	-	SYM
esrj-75821	374	9	60	60	NUM
esrj-75821	374	10	.	.	PUNCT
esrj-75821	375	1	doi	doi	NOUN
esrj-75821	375	2	:	:	PUNCT
esrj-75821	375	3	10.1016	10.1016	NUM
esrj-75821	375	4	/	/	SYM
esrj-75821	375	5	j.agwat.2011.09.001	j.agwat.2011.09.001	PROPN
esrj-75821	375	6	kawamura	kawamura	PROPN
esrj-75821	375	7	,	,	PUNCT
esrj-75821	375	8	k.	k.	PROPN
esrj-75821	375	9	,	,	PUNCT
esrj-75821	375	10	tsujimoto	tsujimoto	NOUN
esrj-75821	375	11	,	,	PUNCT
esrj-75821	375	12	y.	y.	NOUN
esrj-75821	375	13	,	,	PUNCT
esrj-75821	375	14	rabenarivo	rabenarivo	NOUN
esrj-75821	375	15	,	,	PUNCT
esrj-75821	375	16	m.	m.	NOUN
esrj-75821	375	17	,	,	PUNCT
esrj-75821	375	18	asai	asai	PROPN
esrj-75821	375	19	,	,	PUNCT
esrj-75821	375	20	h.	h.	PROPN
esrj-75821	375	21	,	,	PUNCT
esrj-75821	375	22	andriamananjara	andriamananjara	PROPN
esrj-75821	375	23	,	,	PUNCT
esrj-75821	375	24	a.	a.	PROPN
esrj-75821	375	25	,	,	PUNCT
esrj-75821	375	26	&	&	CCONJ
esrj-75821	375	27	rakotoson	rakotoson	NOUN
esrj-75821	375	28	,	,	PUNCT
esrj-75821	375	29	t.	t.	PROPN
esrj-75821	375	30	(	(	PUNCT
esrj-75821	375	31	2017	2017	NUM
esrj-75821	375	32	)	)	PUNCT
esrj-75821	375	33	.	.	PUNCT
esrj-75821	376	1	vis	vis	X
esrj-75821	376	2	-	-	ADJ
esrj-75821	376	3	nir	nir	ADJ
esrj-75821	376	4	spectroscopy	spectroscopy	NOUN
esrj-75821	376	5	and	and	CCONJ
esrj-75821	376	6	pls	pls	AUX
esrj-75821	376	7	regression	regression	VERB
esrj-75821	376	8	with	with	ADP
esrj-75821	376	9	waveband	waveband	NOUN
esrj-75821	376	10	selection	selection	NOUN
esrj-75821	376	11	for	for	ADP
esrj-75821	376	12	estimating	estimate	VERB
esrj-75821	376	13	the	the	DET
esrj-75821	376	14	total	total	NOUN
esrj-75821	376	15	c	c	NOUN
esrj-75821	376	16	and	and	CCONJ
esrj-75821	376	17	n	n	PROPN
esrj-75821	376	18	of	of	ADP
esrj-75821	376	19	paddy	paddy	NOUN
esrj-75821	376	20	soils	soil	NOUN
esrj-75821	376	21	in	in	ADP
esrj-75821	376	22	madagascar	madagascar	NOUN
esrj-75821	376	23	.	.	PUNCT
esrj-75821	377	1	remote	remote	ADJ
esrj-75821	377	2	sensing	sensing	NOUN
esrj-75821	377	3	,	,	PUNCT
esrj-75821	377	4	9(10	9(10	NUM
esrj-75821	377	5	)	)	PUNCT
esrj-75821	377	6	,	,	PUNCT
esrj-75821	377	7	1081	1081	NUM
esrj-75821	377	8	.	.	PUNCT
esrj-75821	378	1	https://doi.org/10.3390/	https://doi.org/10.3390/	PROPN
esrj-75821	378	2	rs9101081	rs9101081	PROPN
esrj-75821	378	3	kazemi	kazemi	PROPN
esrj-75821	378	4	,	,	PUNCT
esrj-75821	378	5	s.	s.	PROPN
esrj-75821	378	6	m.	m.	PROPN
esrj-75821	378	7	,	,	PUNCT
esrj-75821	378	8	&	&	CCONJ
esrj-75821	378	9	hosseini	hosseini	PROPN
esrj-75821	378	10	,	,	PUNCT
esrj-75821	378	11	s.	s.	PROPN
esrj-75821	378	12	m.	m.	PROPN
esrj-75821	378	13	(	(	PUNCT
esrj-75821	378	14	2011	2011	NUM
esrj-75821	378	15	)	)	PUNCT
esrj-75821	378	16	.	.	PUNCT
esrj-75821	379	1	comparison	comparison	NOUN
esrj-75821	379	2	of	of	ADP
esrj-75821	379	3	spatial	spatial	ADJ
esrj-75821	379	4	interpolation	interpolation	NOUN
esrj-75821	379	5	methods	method	NOUN
esrj-75821	379	6	for	for	ADP
esrj-75821	379	7	estimating	estimate	VERB
esrj-75821	379	8	heavy	heavy	ADJ
esrj-75821	379	9	metals	metal	NOUN
esrj-75821	379	10	in	in	ADP
esrj-75821	379	11	sediments	sediment	NOUN
esrj-75821	379	12	of	of	ADP
esrj-75821	379	13	caspian	caspian	PROPN
esrj-75821	379	14	sea	sea	PROPN
esrj-75821	379	15	.	.	PUNCT
esrj-75821	380	1	expert	expert	NOUN
esrj-75821	380	2	systems	system	NOUN
esrj-75821	380	3	with	with	ADP
esrj-75821	380	4	applications	application	NOUN
esrj-75821	380	5	:	:	PUNCT
esrj-75821	380	6	an	an	DET
esrj-75821	380	7	international	international	ADJ
esrj-75821	380	8	journal	journal	NOUN
esrj-75821	380	9	,	,	PUNCT
esrj-75821	380	10	38(3	38(3	NUM
esrj-75821	380	11	)	)	PUNCT
esrj-75821	380	12	,	,	PUNCT
esrj-75821	380	13	1632	1632	NUM
esrj-75821	380	14	-	-	SYM
esrj-75821	380	15	1649	1649	NUM
esrj-75821	380	16	.	.	PUNCT
esrj-75821	381	1	doi	doi	NOUN
esrj-75821	381	2	:	:	PUNCT
esrj-75821	381	3	10.1016	10.1016	NUM
esrj-75821	381	4	/	/	SYM
esrj-75821	381	5	j.eswa.2010.07.085	j.eswa.2010.07.085	PROPN
esrj-75821	381	6	li	li	PROPN
esrj-75821	381	7	,	,	PUNCT
esrj-75821	381	8	g.	g.	PROPN
esrj-75821	381	9	,	,	PUNCT
esrj-75821	381	10	zhou	zhou	PROPN
esrj-75821	381	11	,	,	PUNCT
esrj-75821	381	12	x.	x.	PROPN
esrj-75821	381	13	,	,	PUNCT
esrj-75821	381	14	liu	liu	PROPN
esrj-75821	381	15	,	,	PUNCT
esrj-75821	381	16	j.	j.	PROPN
esrj-75821	381	17	,	,	PUNCT
esrj-75821	381	18	et	et	PROPN
esrj-75821	381	19	al	al	PROPN
esrj-75821	381	20	(	(	PUNCT
esrj-75821	381	21	2018	2018	NUM
esrj-75821	381	22	)	)	PUNCT
esrj-75821	381	23	.	.	PUNCT
esrj-75821	382	1	comparison	comparison	NOUN
esrj-75821	382	2	of	of	ADP
esrj-75821	382	3	three	three	NUM
esrj-75821	382	4	data	datum	NOUN
esrj-75821	382	5	mining	mining	NOUN
esrj-75821	382	6	models	model	NOUN
esrj-75821	382	7	for	for	ADP
esrj-75821	382	8	prediction	prediction	NOUN
esrj-75821	382	9	of	of	ADP
esrj-75821	382	10	advanced	advanced	ADJ
esrj-75821	382	11	schistosomiasis	schistosomiasis	NOUN
esrj-75821	382	12	prognosis	prognosis	NOUN
esrj-75821	382	13	in	in	ADP
esrj-75821	382	14	the	the	DET
esrj-75821	382	15	hubei	hubei	PROPN
esrj-75821	382	16	province	province	NOUN
esrj-75821	382	17	.	.	PUNCT
esrj-75821	383	1	plos	plos	PROPN
esrj-75821	383	2	neglected	neglect	VERB
esrj-75821	383	3	tropical	tropical	ADJ
esrj-75821	383	4	diseases	disease	NOUN
esrj-75821	383	5	,	,	PUNCT
esrj-75821	383	6	12(2	12(2	NUM
esrj-75821	383	7	):	):	PUNCT
esrj-75821	383	8	e0006262	e0006262	PROPN
esrj-75821	383	9	.	.	PROPN
esrj-75821	383	10	doi	doi	NOUN
esrj-75821	383	11	:	:	PUNCT
esrj-75821	383	12	10.1371	10.1371	NUM
esrj-75821	383	13	/	/	SYM
esrj-75821	383	14	journal.pntd.0006262	journal.pntd.0006262	PROPN
esrj-75821	383	15	lim	lim	PROPN
esrj-75821	383	16	,	,	PUNCT
esrj-75821	383	17	d.	d.	PROPN
esrj-75821	383	18	k.	k.	PROPN
esrj-75821	383	19	h.	h.	PROPN
esrj-75821	383	20	,	,	PUNCT
esrj-75821	383	21	&	&	CCONJ
esrj-75821	383	22	kolay	kolay	PROPN
esrj-75821	383	23	,	,	PUNCT
esrj-75821	383	24	p.	p.	PROPN
esrj-75821	383	25	k.	k.	PROPN
esrj-75821	383	26	(	(	PUNCT
esrj-75821	383	27	2009	2009	NUM
esrj-75821	383	28	)	)	PUNCT
esrj-75821	383	29	.	.	PUNCT
esrj-75821	384	1	predicting	predict	VERB
esrj-75821	384	2	hydraulic	hydraulic	ADJ
esrj-75821	384	3	conductivity	conductivity	NOUN
esrj-75821	384	4	k	k	PROPN
esrj-75821	384	5	of	of	ADP
esrj-75821	384	6	tropical	tropical	ADJ
esrj-75821	384	7	soils	soil	NOUN
esrj-75821	384	8	by	by	ADP
esrj-75821	384	9	using	use	VERB
esrj-75821	384	10	artificial	artificial	ADJ
esrj-75821	384	11	neural	neural	ADJ
esrj-75821	384	12	network	network	NOUN
esrj-75821	384	13	ann	ann	PROPN
esrj-75821	384	14	.	.	PUNCT
esrj-75821	385	1	unimas	unimas	PROPN
esrj-75821	385	2	e	e	PROPN
esrj-75821	385	3	-	-	NOUN
esrj-75821	385	4	journal	journal	NOUN
esrj-75821	385	5	of	of	ADP
esrj-75821	385	6	civil	civil	ADJ
esrj-75821	385	7	engineering	engineering	NOUN
esrj-75821	385	8	,	,	PUNCT
esrj-75821	385	9	1	1	NUM
esrj-75821	385	10	,	,	PUNCT
esrj-75821	385	11	1	1	NUM
esrj-75821	385	12	-	-	SYM
esrj-75821	385	13	6	6	NUM
esrj-75821	385	14	,	,	PUNCT
esrj-75821	385	15	http://ir.unimas.my/id/	http://ir.unimas.my/id/	PROPN
esrj-75821	385	16	eprint/3106	eprint/3106	PROPN
esrj-75821	385	17	lohani	lohani	PROPN
esrj-75821	385	18	,	,	PUNCT
esrj-75821	385	19	a.	a.	PROPN
esrj-75821	385	20	k.	k.	PROPN
esrj-75821	385	21	,	,	PUNCT
esrj-75821	385	22	&	&	CCONJ
esrj-75821	385	23	krishan	krishan	PROPN
esrj-75821	385	24	,	,	PUNCT
esrj-75821	385	25	g.	g.	PROPN
esrj-75821	385	26	(	(	PUNCT
esrj-75821	385	27	2015	2015	NUM
esrj-75821	385	28	)	)	PUNCT
esrj-75821	385	29	.	.	PUNCT
esrj-75821	386	1	groundwater	groundwater	NOUN
esrj-75821	386	2	level	level	NOUN
esrj-75821	386	3	simulation	simulation	NOUN
esrj-75821	386	4	using	use	VERB
esrj-75821	386	5	artificial	artificial	ADJ
esrj-75821	386	6	neural	neural	ADJ
esrj-75821	386	7	network	network	NOUN
esrj-75821	386	8	in	in	ADP
esrj-75821	386	9	southeast	southeast	PROPN
esrj-75821	386	10	,	,	PUNCT
esrj-75821	386	11	punjab	punjab	PROPN
esrj-75821	386	12	,	,	PUNCT
esrj-75821	386	13	india	india	PROPN
esrj-75821	386	14	.	.	PROPN
esrj-75821	386	15	journal	journal	PROPN
esrj-75821	386	16	of	of	ADP
esrj-75821	386	17	geology	geology	NOUN
esrj-75821	386	18	&	&	CCONJ
esrj-75821	386	19	geophysics	geophysic	NOUN
esrj-75821	386	20	,	,	PUNCT
esrj-75821	386	21	4(3	4(3	NUM
esrj-75821	386	22	)	)	PUNCT
esrj-75821	386	23	,	,	PUNCT
esrj-75821	386	24	1000206	1000206	NUM
esrj-75821	386	25	.	.	PUNCT
esrj-75821	387	1	doi	doi	NOUN
esrj-75821	387	2	:	:	PUNCT
esrj-75821	387	3	10.4172	10.4172	NUM
esrj-75821	387	4	/	/	SYM
esrj-75821	387	5	jgg.1000206	jgg.1000206	PRON
esrj-75821	387	6	khaki	khaki	NOUN
esrj-75821	387	7	,	,	PUNCT
esrj-75821	387	8	m.	m.	NOUN
esrj-75821	387	9	,	,	PUNCT
esrj-75821	387	10	yussof	yussof	PROPN
esrj-75821	387	11	,	,	PUNCT
esrj-75821	387	12	i.	i.	PROPN
esrj-75821	387	13	b.	b.	PROPN
esrj-75821	387	14	,	,	PUNCT
esrj-75821	387	15	islami	islami	PROPN
esrj-75821	387	16	,	,	PUNCT
esrj-75821	387	17	n.	n.	PROPN
esrj-75821	387	18	f.	f.	PROPN
esrj-75821	387	19	,	,	PUNCT
esrj-75821	387	20	&	&	CCONJ
esrj-75821	387	21	hussin	hussin	PROPN
esrj-75821	387	22	,	,	PUNCT
esrj-75821	387	23	n.	n.	PROPN
esrj-75821	387	24	h.	h.	PROPN
esrj-75821	388	1	(	(	PUNCT
esrj-75821	388	2	2016	2016	NUM
esrj-75821	388	3	)	)	PUNCT
esrj-75821	388	4	.	.	PUNCT
esrj-75821	389	1	artificial	artificial	ADJ
esrj-75821	389	2	neural	neural	ADJ
esrj-75821	389	3	network	network	NOUN
esrj-75821	389	4	technique	technique	NOUN
esrj-75821	389	5	for	for	ADP
esrj-75821	389	6	modeling	modeling	NOUN
esrj-75821	389	7	of	of	ADP
esrj-75821	389	8	groundwater	groundwater	NOUN
esrj-75821	389	9	level	level	NOUN
esrj-75821	389	10	in	in	ADP
esrj-75821	389	11	langat	langat	ADJ
esrj-75821	389	12	basin	basin	NOUN
esrj-75821	389	13	,	,	PUNCT
esrj-75821	389	14	malaysia	malaysia	PROPN
esrj-75821	389	15	.	.	PUNCT
esrj-75821	390	1	sains	sain	NOUN
esrj-75821	390	2	malaysiana	malaysiana	PROPN
esrj-75821	390	3	,	,	PUNCT
esrj-75821	390	4	45(1	45(1	NOUN
esrj-75821	390	5	)	)	PUNCT
esrj-75821	390	6	,	,	PUNCT
esrj-75821	390	7	19	19	NUM
esrj-75821	390	8	-	-	SYM
esrj-75821	390	9	28	28	NUM
esrj-75821	390	10	.	.	PUNCT
esrj-75821	391	1	https://doi.org/10.3390/su11215903	https://doi.org/10.3390/su11215903	X
esrj-75821	391	2	https://doi.org/10.3390/su11215903	https://doi.org/10.3390/su11215903	X
esrj-75821	392	1	https://doi.org/10.1038/s41598-020-60698-9	https://doi.org/10.1038/s41598-020-60698-9	NOUN
esrj-75821	392	2	https://doi.org/10.1038/s41598-020-60698-9	https://doi.org/10.1038/s41598-020-60698-9	NUM
esrj-75821	392	3	https://doi.org/10.1080/22797254.2017.1378926	https://doi.org/10.1080/22797254.2017.1378926	PUNCT
esrj-75821	392	4	https://doi.org/10.1080/22797254.2017.1378926	https://doi.org/10.1080/22797254.2017.1378926	PUNCT
esrj-75821	393	1	https://doi.org/10.1002/ldr.3559	https://doi.org/10.1002/ldr.3559	PROPN
esrj-75821	393	2	https://doi.org/10.3390/w12082169	https://doi.org/10.3390/w12082169	NUM
esrj-75821	393	3	https://doi.org/10.1016/j.dib.2018.05.096	https://doi.org/10.1016/j.dib.2018.05.096	PROPN
esrj-75821	393	4	https://doi.org/10.3390/rs9101081	https://doi.org/10.3390/rs9101081	PRON
esrj-75821	393	5	https://doi.org/10.3390/rs9101081	https://doi.org/10.3390/rs9101081	NUM
esrj-75821	394	1	http://ir.unimas.my/id/eprint/3106	http://ir.unimas.my/id/eprint/3106	NOUN
esrj-75821	394	2	http://ir.unimas.my/id/eprint/3106	http://ir.unimas.my/id/eprint/3106	PUNCT
esrj-75821	395	1	361prediction	361prediction	PROPN
esrj-75821	395	2	of	of	ADP
esrj-75821	395	3	land	land	NOUN
esrj-75821	395	4	degradation	degradation	NOUN
esrj-75821	395	5	by	by	ADP
esrj-75821	395	6	machine	machine	NOUN
esrj-75821	395	7	learning	learning	NOUN
esrj-75821	395	8	methods	method	NOUN
esrj-75821	395	9	:	:	PUNCT
esrj-75821	395	10	a	a	DET
esrj-75821	395	11	case	case	NOUN
esrj-75821	395	12	study	study	NOUN
esrj-75821	395	13	from	from	ADP
esrj-75821	395	14	sharifabad	sharifabad	PROPN
esrj-75821	395	15	watershed	watershed	PROPN
esrj-75821	395	16	,	,	PUNCT
esrj-75821	395	17	central	central	ADJ
esrj-75821	395	18	iran	iran	PROPN
esrj-75821	395	19	masoudi	masoudi	ADJ
esrj-75821	395	20	,	,	PUNCT
esrj-75821	395	21	m.	m.	NOUN
esrj-75821	395	22	,	,	PUNCT
esrj-75821	395	23	&	&	CCONJ
esrj-75821	395	24	amiri	amiri	PROPN
esrj-75821	395	25	,	,	PUNCT
esrj-75821	395	26	e.	e.	PROPN
esrj-75821	395	27	(	(	PUNCT
esrj-75821	395	28	2015	2015	NUM
esrj-75821	395	29	)	)	PUNCT
esrj-75821	395	30	.	.	PUNCT
esrj-75821	396	1	a	a	DET
esrj-75821	396	2	new	new	ADJ
esrj-75821	396	3	model	model	NOUN
esrj-75821	396	4	for	for	ADP
esrj-75821	396	5	hazard	hazard	NOUN
esrj-75821	396	6	evaluation	evaluation	NOUN
esrj-75821	396	7	of	of	ADP
esrj-75821	396	8	vegetation	vegetation	NOUN
esrj-75821	396	9	degradation	degradation	NOUN
esrj-75821	396	10	using	use	VERB
esrj-75821	396	11	dpsir	dpsir	NOUN
esrj-75821	396	12	framework	framework	NOUN
esrj-75821	396	13	,	,	PUNCT
esrj-75821	396	14	a	a	DET
esrj-75821	396	15	case	case	NOUN
esrj-75821	396	16	study	study	NOUN
esrj-75821	396	17	:	:	PUNCT
esrj-75821	396	18	sadra	sadra	PROPN
esrj-75821	396	19	region	region	PROPN
esrj-75821	396	20	,	,	PUNCT
esrj-75821	396	21	iran	iran	PROPN
esrj-75821	396	22	.	.	PUNCT
esrj-75821	397	1	polish	polish	PROPN
esrj-75821	397	2	journal	journal	PROPN
esrj-75821	397	3	of	of	ADP
esrj-75821	397	4	ecology	ecology	NOUN
esrj-75821	397	5	,	,	PUNCT
esrj-75821	397	6	63(1	63(1	NUM
esrj-75821	397	7	)	)	PUNCT
esrj-75821	397	8	,	,	PUNCT
esrj-75821	397	9	1	1	NUM
esrj-75821	397	10	-	-	SYM
esrj-75821	397	11	9	9	NUM
esrj-75821	397	12	.	.	PUNCT
esrj-75821	398	1	doi	doi	NOUN
esrj-75821	398	2	:	:	PUNCT
esrj-75821	398	3	10.3161/150	10.3161/150	NUM
esrj-75821	398	4	52249pje2015.63.1.001	52249pje2015.63.1.001	NOUN
esrj-75821	398	5	masoudi	masoudi	NOUN
esrj-75821	398	6	,	,	PUNCT
esrj-75821	398	7	m.	m.	NOUN
esrj-75821	398	8	,	,	PUNCT
esrj-75821	398	9	jokar	jokar	PROPN
esrj-75821	398	10	,	,	PUNCT
esrj-75821	398	11	p.	p.	NOUN
esrj-75821	398	12	,	,	PUNCT
esrj-75821	398	13	&	&	CCONJ
esrj-75821	398	14	pradhan	pradhan	PROPN
esrj-75821	398	15	,	,	PUNCT
esrj-75821	398	16	b.	b.	PROPN
esrj-75821	398	17	(	(	PUNCT
esrj-75821	398	18	2018	2018	NUM
esrj-75821	398	19	)	)	PUNCT
esrj-75821	398	20	.	.	PUNCT
esrj-75821	399	1	a	a	DET
esrj-75821	399	2	new	new	ADJ
esrj-75821	399	3	approach	approach	NOUN
esrj-75821	399	4	for	for	ADP
esrj-75821	399	5	land	land	NOUN
esrj-75821	399	6	degradation	degradation	NOUN
esrj-75821	399	7	and	and	CCONJ
esrj-75821	399	8	desertification	desertification	NOUN
esrj-75821	399	9	assessment	assessment	NOUN
esrj-75821	399	10	using	use	VERB
esrj-75821	399	11	geospatial	geospatial	ADJ
esrj-75821	399	12	techniques	technique	NOUN
esrj-75821	399	13	.	.	PUNCT
esrj-75821	400	1	natural	natural	ADJ
esrj-75821	400	2	hazards	hazard	NOUN
esrj-75821	400	3	and	and	CCONJ
esrj-75821	400	4	earth	earth	NOUN
esrj-75821	400	5	system	system	NOUN
esrj-75821	400	6	sciences	science	NOUN
esrj-75821	400	7	.	.	PUNCT
esrj-75821	401	1	doi	doi	NOUN
esrj-75821	401	2	:	:	PUNCT
esrj-75821	401	3	10.5194	10.5194	NUM
esrj-75821	401	4	/	/	SYM
esrj-75821	401	5	nhess-2017	nhess-2017	PROPN
esrj-75821	401	6	-	-	PUNCT
esrj-75821	401	7	343	343	NUM
esrj-75821	401	8	mcculloch	mcculloch	NOUN
esrj-75821	401	9	,	,	PUNCT
esrj-75821	401	10	w.	w.	PROPN
esrj-75821	401	11	s.	s.	PROPN
esrj-75821	401	12	,	,	PUNCT
esrj-75821	401	13	&	&	CCONJ
esrj-75821	401	14	pitts	pitts	PROPN
esrj-75821	401	15	,	,	PUNCT
esrj-75821	401	16	w.	w.	NOUN
esrj-75821	401	17	(	(	PUNCT
esrj-75821	401	18	1943	1943	NUM
esrj-75821	401	19	)	)	PUNCT
esrj-75821	401	20	.	.	PUNCT
esrj-75821	402	1	a	a	DET
esrj-75821	402	2	logical	logical	ADJ
esrj-75821	402	3	calculus	calculus	NOUN
esrj-75821	402	4	of	of	ADP
esrj-75821	402	5	the	the	DET
esrj-75821	402	6	ideas	idea	NOUN
esrj-75821	402	7	immanent	immanent	ADJ
esrj-75821	402	8	in	in	ADP
esrj-75821	402	9	nervous	nervous	ADJ
esrj-75821	402	10	activity	activity	NOUN
esrj-75821	402	11	.	.	PUNCT
esrj-75821	403	1	the	the	DET
esrj-75821	403	2	bulletin	bulletin	NOUN
esrj-75821	403	3	of	of	ADP
esrj-75821	403	4	mathematical	mathematical	ADJ
esrj-75821	403	5	biophysics	biophysic	NOUN
esrj-75821	403	6	,	,	PUNCT
esrj-75821	403	7	5	5	NUM
esrj-75821	403	8	,	,	PUNCT
esrj-75821	403	9	115133	115133	NUM
esrj-75821	403	10	.	.	PUNCT
esrj-75821	404	1	doi	doi	NOUN
esrj-75821	404	2	:	:	PUNCT
esrj-75821	404	3	10.1007	10.1007	NUM
esrj-75821	404	4	/	/	SYM
esrj-75821	404	5	bf02478259	bf02478259	PROPN
esrj-75821	404	6	meshram	meshram	PROPN
esrj-75821	404	7	,	,	PUNCT
esrj-75821	404	8	s.	s.	PROPN
esrj-75821	404	9	g.	g.	PROPN
esrj-75821	404	10	,	,	PUNCT
esrj-75821	404	11	singh	singh	PROPN
esrj-75821	404	12	,	,	PUNCT
esrj-75821	404	13	v.	v.	PROPN
esrj-75821	404	14	p.	p.	PROPN
esrj-75821	404	15	,	,	PUNCT
esrj-75821	404	16	kisi	kisi	PROPN
esrj-75821	404	17	,	,	PUNCT
esrj-75821	404	18	o.	o.	PROPN
esrj-75821	404	19	,	,	PUNCT
esrj-75821	404	20	karimi	karimi	PROPN
esrj-75821	404	21	,	,	PUNCT
esrj-75821	404	22	v.	v.	PROPN
esrj-75821	404	23	,	,	PUNCT
esrj-75821	404	24	&	&	CCONJ
esrj-75821	404	25	meshram	meshram	PROPN
esrj-75821	404	26	,	,	PUNCT
esrj-75821	404	27	c.	c.	PROPN
esrj-75821	404	28	(	(	PUNCT
esrj-75821	404	29	2020	2020	NUM
esrj-75821	404	30	)	)	PUNCT
esrj-75821	404	31	.	.	PUNCT
esrj-75821	405	1	application	application	NOUN
esrj-75821	405	2	of	of	ADP
esrj-75821	405	3	artificial	artificial	ADJ
esrj-75821	405	4	neural	neural	ADJ
esrj-75821	405	5	networks	network	NOUN
esrj-75821	405	6	,	,	PUNCT
esrj-75821	405	7	support	support	NOUN
esrj-75821	405	8	vector	vector	NOUN
esrj-75821	405	9	machine	machine	NOUN
esrj-75821	405	10	and	and	CCONJ
esrj-75821	405	11	multiple	multiple	ADJ
esrj-75821	405	12	model	model	NOUN
esrj-75821	405	13	-	-	PUNCT
esrj-75821	405	14	ann	ann	PROPN
esrj-75821	405	15	to	to	ADP
esrj-75821	405	16	sediment	sediment	NOUN
esrj-75821	405	17	yield	yield	NOUN
esrj-75821	405	18	prediction	prediction	NOUN
esrj-75821	405	19	.	.	PUNCT
esrj-75821	406	1	water	water	NOUN
esrj-75821	406	2	resources	resource	NOUN
esrj-75821	406	3	management	management	NOUN
esrj-75821	406	4	,	,	PUNCT
esrj-75821	406	5	34	34	NUM
esrj-75821	406	6	,	,	PUNCT
esrj-75821	406	7	4561	4561	NUM
esrj-75821	406	8	-	-	SYM
esrj-75821	406	9	4575	4575	NUM
esrj-75821	406	10	.	.	PUNCT
esrj-75821	407	1	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
esrj-75821	407	2	s11269	s11269	PROPN
esrj-75821	407	3	-	-	PUNCT
esrj-75821	407	4	020	020	NUM
esrj-75821	407	5	-	-	PUNCT
esrj-75821	407	6	02672	02672	NUM
esrj-75821	407	7	-	-	PUNCT
esrj-75821	407	8	8	8	NUM
esrj-75821	407	9	mirzaei	mirzaei	ADJ
esrj-75821	407	10	,	,	PUNCT
esrj-75821	407	11	a.	a.	NOUN
esrj-75821	407	12	,	,	PUNCT
esrj-75821	407	13	saghafian	saghafian	NOUN
esrj-75821	407	14	,	,	PUNCT
esrj-75821	407	15	b.	b.	PROPN
esrj-75821	407	16	,	,	PUNCT
esrj-75821	407	17	mirchi	mirchi	PROPN
esrj-75821	407	18	,	,	PUNCT
esrj-75821	407	19	a.	a.	PROPN
esrj-75821	407	20	,	,	PUNCT
esrj-75821	407	21	&	&	CCONJ
esrj-75821	407	22	madani	madani	PROPN
esrj-75821	407	23	,	,	PUNCT
esrj-75821	407	24	k.	k.	PROPN
esrj-75821	407	25	(	(	PUNCT
esrj-75821	407	26	2019	2019	NUM
esrj-75821	407	27	)	)	PUNCT
esrj-75821	407	28	.	.	PUNCT
esrj-75821	408	1	the	the	DET
esrj-75821	408	2	groundwater‒	groundwater‒	NOUN
esrj-75821	408	3	energy‒food	energy‒food	PROPN
esrj-75821	408	4	nexus	nexus	NOUN
esrj-75821	408	5	in	in	ADP
esrj-75821	408	6	iran	iran	PROPN
esrj-75821	408	7	’s	’s	PART
esrj-75821	408	8	agricultural	agricultural	ADJ
esrj-75821	408	9	sector	sector	NOUN
esrj-75821	408	10	:	:	PUNCT
esrj-75821	408	11	implications	implication	NOUN
esrj-75821	408	12	for	for	ADP
esrj-75821	408	13	water	water	NOUN
esrj-75821	408	14	security	security	NOUN
esrj-75821	408	15	.	.	PUNCT
esrj-75821	409	1	water	water	NOUN
esrj-75821	409	2	,	,	PUNCT
esrj-75821	409	3	11	11	NUM
esrj-75821	409	4	,	,	PUNCT
esrj-75821	409	5	1835	1835	NUM
esrj-75821	409	6	.	.	PUNCT
esrj-75821	410	1	mohanty	mohanty	PROPN
esrj-75821	410	2	,	,	PUNCT
esrj-75821	410	3	s.	s.	PROPN
esrj-75821	410	4	,	,	PUNCT
esrj-75821	410	5	jha	jha	PROPN
esrj-75821	410	6	,	,	PUNCT
esrj-75821	410	7	m.	m.	PROPN
esrj-75821	410	8	k.	k.	PROPN
esrj-75821	410	9	,	,	PUNCT
esrj-75821	410	10	kumar	kumar	PROPN
esrj-75821	410	11	,	,	PUNCT
esrj-75821	410	12	a.	a.	PROPN
esrj-75821	410	13	,	,	PUNCT
esrj-75821	410	14	&	&	CCONJ
esrj-75821	410	15	sudheer	sudheer	NOUN
esrj-75821	410	16	,	,	PUNCT
esrj-75821	410	17	k.	k.	PROPN
esrj-75821	411	1	p.	p.	PROPN
esrj-75821	411	2	(	(	PUNCT
esrj-75821	411	3	2010	2010	NUM
esrj-75821	411	4	)	)	PUNCT
esrj-75821	411	5	.	.	PUNCT
esrj-75821	412	1	artificial	artificial	ADJ
esrj-75821	412	2	neural	neural	ADJ
esrj-75821	412	3	network	network	NOUN
esrj-75821	412	4	modeling	modeling	NOUN
esrj-75821	412	5	for	for	ADP
esrj-75821	412	6	groundwater	groundwater	NOUN
esrj-75821	412	7	level	level	NOUN
esrj-75821	412	8	forecasting	forecasting	NOUN
esrj-75821	412	9	in	in	ADP
esrj-75821	412	10	a	a	DET
esrj-75821	412	11	river	river	NOUN
esrj-75821	412	12	island	island	NOUN
esrj-75821	412	13	of	of	ADP
esrj-75821	412	14	eastern	eastern	PROPN
esrj-75821	412	15	india	india	PROPN
esrj-75821	412	16	.	.	PUNCT
esrj-75821	413	1	water	water	NOUN
esrj-75821	413	2	resource	resource	NOUN
esrj-75821	413	3	management	management	NOUN
esrj-75821	413	4	,	,	PUNCT
esrj-75821	413	5	24	24	NUM
esrj-75821	413	6	,	,	PUNCT
esrj-75821	413	7	1845	1845	NUM
esrj-75821	413	8	-	-	SYM
esrj-75821	413	9	1865	1865	NUM
esrj-75821	413	10	.	.	PUNCT
esrj-75821	414	1	doi	doi	NOUN
esrj-75821	414	2	:	:	PUNCT
esrj-75821	414	3	10.1007	10.1007	NUM
esrj-75821	414	4	/	/	SYM
esrj-75821	414	5	s11269	s11269	NOUN
esrj-75821	414	6	-	-	PUNCT
esrj-75821	414	7	009	009	NUM
esrj-75821	414	8	-	-	PUNCT
esrj-75821	414	9	9527	9527	NUM
esrj-75821	414	10	-	-	PUNCT
esrj-75821	414	11	x	x	SYM
esrj-75821	414	12	morales	morale	NOUN
esrj-75821	414	13	,	,	PUNCT
esrj-75821	414	14	n.	n.	PROPN
esrj-75821	414	15	s.	s.	PROPN
esrj-75821	414	16	,	,	PUNCT
esrj-75821	414	17	&	&	CCONJ
esrj-75821	414	18	zuleta	zuleta	PROPN
esrj-75821	414	19	,	,	PUNCT
esrj-75821	414	20	g.	g.	PROPN
esrj-75821	414	21	a.	a.	PROPN
esrj-75821	414	22	(	(	PUNCT
esrj-75821	414	23	2020	2020	NUM
esrj-75821	414	24	)	)	PUNCT
esrj-75821	414	25	.	.	PUNCT
esrj-75821	415	1	comparison	comparison	NOUN
esrj-75821	415	2	of	of	ADP
esrj-75821	415	3	different	different	ADJ
esrj-75821	415	4	land	land	NOUN
esrj-75821	415	5	degradation	degradation	NOUN
esrj-75821	415	6	indicators	indicator	NOUN
esrj-75821	415	7	:	:	PUNCT
esrj-75821	415	8	do	do	AUX
esrj-75821	415	9	the	the	DET
esrj-75821	415	10	world	world	NOUN
esrj-75821	415	11	regions	region	NOUN
esrj-75821	415	12	really	really	ADV
esrj-75821	415	13	matter	matter	VERB
esrj-75821	415	14	?	?	PUNCT
esrj-75821	416	1	land	land	NOUN
esrj-75821	416	2	degradation	degradation	NOUN
esrj-75821	416	3	and	and	CCONJ
esrj-75821	416	4	development	development	NOUN
esrj-75821	416	5	,	,	PUNCT
esrj-75821	416	6	31(6	31(6	NUM
esrj-75821	416	7	)	)	PUNCT
esrj-75821	416	8	,	,	PUNCT
esrj-75821	416	9	721	721	NUM
esrj-75821	416	10	-	-	SYM
esrj-75821	416	11	733	733	NUM
esrj-75821	416	12	.	.	PUNCT
esrj-75821	417	1	https://doi.org/10.1002/ldr.3488	https://doi.org/10.1002/ldr.3488	PROPN
esrj-75821	417	2	nair	nair	NOUN
esrj-75821	417	3	,	,	PUNCT
esrj-75821	417	4	s.	s.	PROPN
esrj-75821	417	5	s.	s.	PROPN
esrj-75821	417	6	,	,	PUNCT
esrj-75821	417	7	sindhu	sindhu	PROPN
esrj-75821	417	8	,	,	PUNCT
esrj-75821	417	9	d.	d.	PROPN
esrj-75821	417	10	g.	g.	PROPN
esrj-75821	417	11	(	(	PUNCT
esrj-75821	417	12	2016	2016	NUM
esrj-75821	417	13	)	)	PUNCT
esrj-75821	417	14	.	.	PUNCT
esrj-75821	418	1	groundwater	groundwater	NOUN
esrj-75821	418	2	level	level	NOUN
esrj-75821	418	3	forecasting	forecasting	NOUN
esrj-75821	418	4	using	use	VERB
esrj-75821	418	5	artificial	artificial	ADJ
esrj-75821	418	6	neural	neural	ADJ
esrj-75821	418	7	network	network	NOUN
esrj-75821	418	8	.	.	PUNCT
esrj-75821	419	1	international	international	ADJ
esrj-75821	419	2	journal	journal	PROPN
esrj-75821	419	3	of	of	ADP
esrj-75821	419	4	scientific	scientific	ADJ
esrj-75821	419	5	and	and	CCONJ
esrj-75821	419	6	research	research	NOUN
esrj-75821	419	7	publications	publication	NOUN
esrj-75821	419	8	,	,	PUNCT
esrj-75821	419	9	6	6	NUM
esrj-75821	419	10	,	,	PUNCT
esrj-75821	419	11	234	234	NUM
esrj-75821	419	12	-	-	SYM
esrj-75821	419	13	238	238	NUM
esrj-75821	419	14	,	,	PUNCT
esrj-75821	419	15	doi	doi	NOUN
esrj-75821	419	16	:	:	PUNCT
esrj-75821	419	17	https://doi.org/10.1007/978-3-31940195-9	https://doi.org/10.1007/978-3-31940195-9	X
esrj-75821	419	18	okin	okin	PROPN
esrj-75821	419	19	,	,	PUNCT
esrj-75821	419	20	g.	g.	PROPN
esrj-75821	419	21	s.	s.	PROPN
esrj-75821	419	22	,	,	PUNCT
esrj-75821	419	23	parsons	parson	NOUN
esrj-75821	419	24	,	,	PUNCT
esrj-75821	419	25	a.	a.	PROPN
esrj-75821	419	26	j.	j.	PROPN
esrj-75821	419	27	,	,	PUNCT
esrj-75821	419	28	wainwright	wainwright	PROPN
esrj-75821	419	29	,	,	PUNCT
esrj-75821	419	30	j.	j.	PROPN
esrj-75821	419	31	,	,	PUNCT
esrj-75821	419	32	herrick	herrick	PROPN
esrj-75821	419	33	,	,	PUNCT
esrj-75821	419	34	j.	j.	PROPN
esrj-75821	419	35	e.	e.	PROPN
esrj-75821	419	36	,	,	PUNCT
esrj-75821	419	37	bestelmeyer	bestelmeyer	PROPN
esrj-75821	419	38	,	,	PUNCT
esrj-75821	419	39	b.	b.	PROPN
esrj-75821	419	40	t.	t.	PROPN
esrj-75821	419	41	,	,	PUNCT
esrj-75821	419	42	peters	peters	PROPN
esrj-75821	419	43	,	,	PUNCT
esrj-75821	419	44	d.	d.	PROPN
esrj-75821	419	45	c.	c.	PROPN
esrj-75821	419	46	,	,	PUNCT
esrj-75821	419	47	&	&	CCONJ
esrj-75821	419	48	fredrickson	fredrickson	PROPN
esrj-75821	419	49	,	,	PUNCT
esrj-75821	419	50	e.	e.	PROPN
esrj-75821	419	51	l.	l.	PROPN
esrj-75821	419	52	(	(	PUNCT
esrj-75821	419	53	2009	2009	NUM
esrj-75821	419	54	)	)	PUNCT
esrj-75821	419	55	.	.	PUNCT
esrj-75821	420	1	do	do	AUX
esrj-75821	420	2	changes	change	NOUN
esrj-75821	420	3	in	in	ADP
esrj-75821	420	4	connectivity	connectivity	NOUN
esrj-75821	420	5	explain	explain	VERB
esrj-75821	420	6	desertification	desertification	NOUN
esrj-75821	420	7	?	?	PUNCT
esrj-75821	421	1	bioscience	bioscience	NOUN
esrj-75821	421	2	,	,	PUNCT
esrj-75821	421	3	59(3	59(3	NUM
esrj-75821	421	4	)	)	PUNCT
esrj-75821	421	5	,	,	PUNCT
esrj-75821	421	6	237	237	NUM
esrj-75821	421	7	-	-	SYM
esrj-75821	421	8	244	244	NUM
esrj-75821	421	9	.	.	PUNCT
esrj-75821	422	1	doi	doi	NOUN
esrj-75821	422	2	:	:	PUNCT
esrj-75821	422	3	10.1525/	10.1525/	NUM
esrj-75821	422	4	bio.2009.59.3.8	bio.2009.59.3.8	ADJ
esrj-75821	422	5	oldeman	oldeman	NOUN
esrj-75821	422	6	,	,	PUNCT
esrj-75821	422	7	l.	l.	PROPN
esrj-75821	422	8	r.	r.	PROPN
esrj-75821	422	9	(	(	PUNCT
esrj-75821	422	10	1994	1994	NUM
esrj-75821	422	11	)	)	PUNCT
esrj-75821	422	12	.	.	PUNCT
esrj-75821	423	1	the	the	DET
esrj-75821	423	2	global	global	ADJ
esrj-75821	423	3	extent	extent	NOUN
esrj-75821	423	4	of	of	ADP
esrj-75821	423	5	land	land	NOUN
esrj-75821	423	6	degradation	degradation	NOUN
esrj-75821	423	7	.	.	PUNCT
esrj-75821	424	1	wallingford	wallingford	PROPN
esrj-75821	424	2	(	(	PUNCT
esrj-75821	424	3	united	united	ADJ
esrj-75821	424	4	kingdom	kingdom	PROPN
esrj-75821	424	5	)	)	PUNCT
esrj-75821	424	6	.	.	PUNCT
esrj-75821	424	7	)	)	PUNCT
esrj-75821	425	1	parizi	parizi	PROPN
esrj-75821	425	2	,	,	PUNCT
esrj-75821	425	3	e.	e.	PROPN
esrj-75821	425	4	,	,	PUNCT
esrj-75821	425	5	hosseini	hosseini	PROPN
esrj-75821	425	6	,	,	PUNCT
esrj-75821	425	7	s.	s.	PROPN
esrj-75821	425	8	m.	m.	PROPN
esrj-75821	425	9	,	,	PUNCT
esrj-75821	425	10	ataie	ataie	PROPN
esrj-75821	425	11	-	-	PUNCT
esrj-75821	425	12	ashtiani	ashtiani	PROPN
esrj-75821	425	13	,	,	PUNCT
esrj-75821	425	14	b.	b.	PROPN
esrj-75821	425	15	,	,	PUNCT
esrj-75821	425	16	&	&	CCONJ
esrj-75821	425	17	simmons	simmon	NOUN
esrj-75821	425	18	,	,	PUNCT
esrj-75821	425	19	c.	c.	PROPN
esrj-75821	425	20	t.	t.	PROPN
esrj-75821	425	21	(	(	PUNCT
esrj-75821	425	22	2019	2019	NUM
esrj-75821	425	23	)	)	PUNCT
esrj-75821	425	24	.	.	PUNCT
esrj-75821	426	1	representative	representative	ADJ
esrj-75821	426	2	pumping	pump	VERB
esrj-75821	426	3	wells	wells	PROPN
esrj-75821	426	4	network	network	NOUN
esrj-75821	426	5	to	to	PART
esrj-75821	426	6	estimate	estimate	VERB
esrj-75821	426	7	groundwater	groundwater	NOUN
esrj-75821	426	8	withdrawal	withdrawal	NOUN
esrj-75821	426	9	from	from	ADP
esrj-75821	426	10	aquifers	aquifer	NOUN
esrj-75821	426	11	:	:	PUNCT
esrj-75821	426	12	lessons	lesson	NOUN
esrj-75821	426	13	from	from	ADP
esrj-75821	426	14	a	a	DET
esrj-75821	426	15	developing	develop	VERB
esrj-75821	426	16	country	country	NOUN
esrj-75821	426	17	,	,	PUNCT
esrj-75821	426	18	iran	iran	PROPN
esrj-75821	426	19	.	.	PUNCT
esrj-75821	427	1	journal	journal	PROPN
esrj-75821	427	2	of	of	ADP
esrj-75821	427	3	hydrology	hydrology	NOUN
esrj-75821	427	4	,	,	PUNCT
esrj-75821	427	5	578:124090	578:124090	NUM
esrj-75821	427	6	.	.	PUNCT
esrj-75821	428	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
esrj-75821	428	2	.	.	PUNCT
esrj-75821	429	1	jhydrol.2019.124090	jhydrol.2019.124090	PROPN
esrj-75821	429	2	parmar	parmar	PROPN
esrj-75821	429	3	,	,	PUNCT
esrj-75821	429	4	k.	k.	PROPN
esrj-75821	429	5	,	,	PUNCT
esrj-75821	429	6	&	&	CCONJ
esrj-75821	429	7	bhardwaj	bhardwaj	PROPN
esrj-75821	429	8	,	,	PUNCT
esrj-75821	429	9	r.	r.	PROPN
esrj-75821	429	10	(	(	PUNCT
esrj-75821	429	11	2014	2014	NUM
esrj-75821	429	12	)	)	PUNCT
esrj-75821	429	13	.	.	PUNCT
esrj-75821	430	1	water	water	NOUN
esrj-75821	430	2	quality	quality	NOUN
esrj-75821	430	3	management	management	NOUN
esrj-75821	430	4	using	use	VERB
esrj-75821	430	5	statistical	statistical	ADJ
esrj-75821	430	6	analysis	analysis	NOUN
esrj-75821	430	7	and	and	CCONJ
esrj-75821	430	8	time	time	NOUN
esrj-75821	430	9	-	-	PUNCT
esrj-75821	430	10	series	series	NOUN
esrj-75821	430	11	prediction	prediction	NOUN
esrj-75821	430	12	model	model	NOUN
esrj-75821	430	13	.	.	PUNCT
esrj-75821	431	1	applied	apply	VERB
esrj-75821	431	2	water	water	NOUN
esrj-75821	431	3	science	science	NOUN
esrj-75821	431	4	,	,	PUNCT
esrj-75821	431	5	4	4	NUM
esrj-75821	431	6	,	,	PUNCT
esrj-75821	431	7	425	425	NUM
esrj-75821	431	8	-	-	SYM
esrj-75821	431	9	434	434	NUM
esrj-75821	431	10	.	.	PUNCT
esrj-75821	432	1	doi	doi	NOUN
esrj-75821	432	2	:	:	PUNCT
esrj-75821	432	3	10.1007	10.1007	NUM
esrj-75821	432	4	/	/	SYM
esrj-75821	432	5	s13201	s13201	NOUN
esrj-75821	432	6	-	-	PUNCT
esrj-75821	432	7	014	014	NUM
esrj-75821	432	8	-	-	PUNCT
esrj-75821	432	9	0159	0159	NUM
esrj-75821	432	10	-	-	PUNCT
esrj-75821	432	11	9	9	NUM
esrj-75821	432	12	pektaş	pektaş	NOUN
esrj-75821	432	13	,	,	PUNCT
esrj-75821	432	14	a.	a.	NOUN
esrj-75821	432	15	o.	o.	PROPN
esrj-75821	432	16	,	,	PUNCT
esrj-75821	432	17	&	&	CCONJ
esrj-75821	432	18	doğan	doğan	PROPN
esrj-75821	432	19	,	,	PUNCT
esrj-75821	432	20	e.	e.	PROPN
esrj-75821	432	21	(	(	PUNCT
esrj-75821	432	22	2015	2015	NUM
esrj-75821	432	23	)	)	PUNCT
esrj-75821	432	24	.	.	PUNCT
esrj-75821	433	1	prediction	prediction	NOUN
esrj-75821	433	2	of	of	ADP
esrj-75821	433	3	bed	bed	NOUN
esrj-75821	433	4	load	load	NOUN
esrj-75821	433	5	via	via	ADP
esrj-75821	433	6	suspended	suspend	VERB
esrj-75821	433	7	sediment	sediment	NOUN
esrj-75821	433	8	load	load	NOUN
esrj-75821	433	9	using	use	VERB
esrj-75821	433	10	soft	soft	ADJ
esrj-75821	433	11	computing	computing	NOUN
esrj-75821	433	12	methods	method	NOUN
esrj-75821	433	13	.	.	PUNCT
esrj-75821	434	1	geofizika	geofizika	NOUN
esrj-75821	434	2	,	,	PUNCT
esrj-75821	434	3	32	32	NUM
esrj-75821	434	4	.	.	PUNCT
esrj-75821	435	1	doi	doi	NOUN
esrj-75821	435	2	:	:	PUNCT
esrj-75821	435	3	10.15233	10.15233	NUM
esrj-75821	435	4	/	/	SYM
esrj-75821	435	5	gfz.2015.32.2	gfz.2015.32.2	ADJ
esrj-75821	435	6	porte	porte	NOUN
esrj-75821	435	7	,	,	PUNCT
esrj-75821	435	8	p.	p.	PROPN
esrj-75821	435	9	,	,	PUNCT
esrj-75821	435	10	isaac	isaac	PROPN
esrj-75821	435	11	,	,	PUNCT
esrj-75821	435	12	r.	r.	PROPN
esrj-75821	435	13	k.	k.	PROPN
esrj-75821	435	14	,	,	PUNCT
esrj-75821	435	15	mahilang	mahilang	PROPN
esrj-75821	435	16	,	,	PUNCT
esrj-75821	435	17	k.	k.	PROPN
esrj-75821	435	18	k.	k.	PROPN
esrj-75821	435	19	s.	s.	PROPN
esrj-75821	435	20	,	,	PUNCT
esrj-75821	435	21	sonboier	sonboier	PROPN
esrj-75821	435	22	,	,	PUNCT
esrj-75821	435	23	k.	k.	PROPN
esrj-75821	435	24	,	,	PUNCT
esrj-75821	435	25	&	&	CCONJ
esrj-75821	435	26	minj	minj	PROPN
esrj-75821	435	27	,	,	PUNCT
esrj-75821	435	28	p.	p.	NOUN
esrj-75821	435	29	(	(	PUNCT
esrj-75821	435	30	2018	2018	NUM
esrj-75821	435	31	)	)	PUNCT
esrj-75821	435	32	.	.	PUNCT
esrj-75821	436	1	groundwater	groundwater	NOUN
esrj-75821	436	2	level	level	NOUN
esrj-75821	436	3	prediction	prediction	NOUN
esrj-75821	436	4	using	use	VERB
esrj-75821	436	5	artificial	artificial	ADJ
esrj-75821	436	6	neural	neural	ADJ
esrj-75821	436	7	network	network	NOUN
esrj-75821	436	8	model	model	NOUN
esrj-75821	436	9	.	.	PUNCT
esrj-75821	437	1	international	international	ADJ
esrj-75821	437	2	journal	journal	NOUN
esrj-75821	437	3	of	of	ADP
esrj-75821	437	4	current	current	ADJ
esrj-75821	437	5	microbiology	microbiology	NOUN
esrj-75821	437	6	and	and	CCONJ
esrj-75821	437	7	applied	apply	VERB
esrj-75821	437	8	sciences	science	NOUN
esrj-75821	437	9	,	,	PUNCT
esrj-75821	437	10	72	72	NUM
esrj-75821	437	11	,	,	PUNCT
esrj-75821	437	12	2947	2947	NUM
esrj-75821	437	13	-	-	SYM
esrj-75821	437	14	2954	2954	NUM
esrj-75821	437	15	.	.	PUNCT
esrj-75821	438	1	https://doi.org/10.20546/ijcmas.2018.702.358	https://doi.org/10.20546/ijcmas.2018.702.358	NOUN
esrj-75821	438	2	quyet	quyet	ADV
esrj-75821	438	3	,	,	PUNCT
esrj-75821	438	4	m.	m.	NOUN
esrj-75821	438	5	v.	v.	PROPN
esrj-75821	438	6	(	(	PUNCT
esrj-75821	438	7	2014	2014	NUM
esrj-75821	438	8	)	)	PUNCT
esrj-75821	438	9	.	.	PUNCT
esrj-75821	439	1	multi	multi	ADJ
esrj-75821	439	2	-	-	ADJ
esrj-75821	439	3	level	level	ADJ
esrj-75821	439	4	assessment	assessment	NOUN
esrj-75821	439	5	of	of	ADP
esrj-75821	439	6	land	land	NOUN
esrj-75821	439	7	degregation	degregation	NOUN
esrj-75821	439	8	,	,	PUNCT
esrj-75821	439	9	the	the	DET
esrj-75821	439	10	case	case	NOUN
esrj-75821	439	11	of	of	ADP
esrj-75821	439	12	vietnam	vietnam	PROPN
esrj-75821	439	13	.	.	PUNCT
esrj-75821	440	1	phd	phd	NOUN
esrj-75821	440	2	thesis	thesis	PROPN
esrj-75821	440	3	,	,	PUNCT
esrj-75821	440	4	eth	eth	PROPN
esrj-75821	440	5	zurich	zurich	PROPN
esrj-75821	440	6	research	research	PROPN
esrj-75821	440	7	collection	collection	NOUN
esrj-75821	440	8	,	,	PUNCT
esrj-75821	440	9	128	128	NUM
esrj-75821	440	10	ranković	ranković	NOUN
esrj-75821	440	11	,	,	PUNCT
esrj-75821	440	12	b.	b.	PROPN
esrj-75821	440	13	,	,	PUNCT
esrj-75821	440	14	kosanić	kosanić	ADJ
esrj-75821	440	15	,	,	PUNCT
esrj-75821	440	16	m	m	PROPN
esrj-75821	440	17	,	,	PUNCT
esrj-75821	440	18	stanojković	stanojković	NOUN
esrj-75821	440	19	,	,	PUNCT
esrj-75821	440	20	t.	t.	NOUN
esrj-75821	440	21	,	,	PUNCT
esrj-75821	440	22	vasiljević	vasiljević	NOUN
esrj-75821	440	23	,	,	PUNCT
esrj-75821	440	24	p.	p.	NOUN
esrj-75821	440	25	,	,	PUNCT
esrj-75821	440	26	&	&	CCONJ
esrj-75821	440	27	manojlović	manojlović	PROPN
esrj-75821	440	28	,	,	PUNCT
esrj-75821	440	29	n.	n.	PROPN
esrj-75821	440	30	(	(	PUNCT
esrj-75821	440	31	2012	2012	NUM
esrj-75821	440	32	)	)	PUNCT
esrj-75821	440	33	.	.	PUNCT
esrj-75821	441	1	biological	biological	ADJ
esrj-75821	441	2	activities	activity	NOUN
esrj-75821	441	3	of	of	ADP
esrj-75821	441	4	toninia	toninia	NOUN
esrj-75821	441	5	candida	candida	PROPN
esrj-75821	441	6	and	and	CCONJ
esrj-75821	441	7	usnea	usnea	PROPN
esrj-75821	441	8	barbata	barbata	NOUN
esrj-75821	441	9	together	together	ADV
esrj-75821	441	10	with	with	ADP
esrj-75821	441	11	their	their	PRON
esrj-75821	441	12	norstictic	norstictic	ADJ
esrj-75821	441	13	acid	acid	NOUN
esrj-75821	441	14	and	and	CCONJ
esrj-75821	441	15	usnic	usnic	ADJ
esrj-75821	441	16	acid	acid	NOUN
esrj-75821	441	17	constituents	constituent	NOUN
esrj-75821	441	18	.	.	PUNCT
esrj-75821	442	1	international	international	ADJ
esrj-75821	442	2	journal	journal	NOUN
esrj-75821	442	3	of	of	ADP
esrj-75821	442	4	molecular	molecular	ADJ
esrj-75821	442	5	sciences	science	NOUN
esrj-75821	442	6	,	,	PUNCT
esrj-75821	442	7	13(11	13(11	NUM
esrj-75821	442	8	)	)	PUNCT
esrj-75821	442	9	,	,	PUNCT
esrj-75821	442	10	14707	14707	NUM
esrj-75821	442	11	-	-	SYM
esrj-75821	442	12	14722	14722	NUM
esrj-75821	442	13	.	.	PUNCT
esrj-75821	443	1	doi	doi	NOUN
esrj-75821	443	2	:	:	PUNCT
esrj-75821	443	3	10.3390	10.3390	NUM
esrj-75821	443	4	/	/	SYM
esrj-75821	443	5	ijms131114707	ijms131114707	NOUN
esrj-75821	443	6	ranković	ranković	NOUN
esrj-75821	443	7	,	,	PUNCT
esrj-75821	443	8	v.	v.	ADV
esrj-75821	443	9	,	,	PUNCT
esrj-75821	443	10	novaković	novaković	NOUN
esrj-75821	443	11	,	,	PUNCT
esrj-75821	443	12	a.	a.	NOUN
esrj-75821	443	13	,	,	PUNCT
esrj-75821	443	14	grujović	grujović	PROPN
esrj-75821	443	15	n.	n.	PROPN
esrj-75821	443	16	,	,	PUNCT
esrj-75821	443	17	divac	divac	PROPN
esrj-75821	443	18	,	,	PUNCT
esrj-75821	443	19	d.	d.	PROPN
esrj-75821	443	20	,	,	PUNCT
esrj-75821	443	21	&	&	CCONJ
esrj-75821	443	22	milivojević	milivojević	PROPN
esrj-75821	443	23	,	,	PUNCT
esrj-75821	443	24	n.	n.	PROPN
esrj-75821	443	25	(	(	PUNCT
esrj-75821	443	26	2014	2014	NUM
esrj-75821	443	27	)	)	PUNCT
esrj-75821	443	28	.	.	PUNCT
esrj-75821	444	1	predicting	predict	VERB
esrj-75821	444	2	piezometric	piezometric	ADJ
esrj-75821	444	3	water	water	NOUN
esrj-75821	444	4	level	level	NOUN
esrj-75821	444	5	in	in	ADP
esrj-75821	444	6	dams	dam	NOUN
esrj-75821	444	7	via	via	ADP
esrj-75821	444	8	artificial	artificial	ADJ
esrj-75821	444	9	neural	neural	ADJ
esrj-75821	444	10	networks	network	NOUN
esrj-75821	444	11	.	.	PUNCT
esrj-75821	445	1	neural	neural	ADJ
esrj-75821	445	2	computing	computing	NOUN
esrj-75821	445	3	and	and	CCONJ
esrj-75821	445	4	applications	application	NOUN
esrj-75821	445	5	,	,	PUNCT
esrj-75821	445	6	24	24	NUM
esrj-75821	445	7	,	,	PUNCT
esrj-75821	445	8	1115	1115	NUM
esrj-75821	445	9	-	-	SYM
esrj-75821	445	10	1121	1121	NUM
esrj-75821	445	11	.	.	PUNCT
esrj-75821	446	1	doi	doi	NOUN
esrj-75821	446	2	:	:	PUNCT
esrj-75821	446	3	10.1007	10.1007	NUM
esrj-75821	446	4	/	/	SYM
esrj-75821	446	5	s00521	s00521	NOUN
esrj-75821	446	6	-	-	PUNCT
esrj-75821	446	7	012	012	NUM
esrj-75821	446	8	-	-	PUNCT
esrj-75821	446	9	1334	1334	NUM
esrj-75821	446	10	-	-	SYM
esrj-75821	446	11	2	2	NUM
esrj-75821	446	12	ranković	ranković	NOUN
esrj-75821	446	13	,	,	PUNCT
esrj-75821	446	14	v.	v.	ADV
esrj-75821	446	15	,	,	PUNCT
esrj-75821	446	16	radulović	radulović	NOUN
esrj-75821	446	17	,	,	PUNCT
esrj-75821	446	18	j.	j.	PROPN
esrj-75821	446	19	,	,	PUNCT
esrj-75821	446	20	radojević	radojević	PROPN
esrj-75821	446	21	,	,	PUNCT
esrj-75821	446	22	i.	i.	NOUN
esrj-75821	446	23	,	,	PUNCT
esrj-75821	446	24	ostojić	ostojić	PROPN
esrj-75821	446	25	,	,	PUNCT
esrj-75821	446	26	a.	a.	NOUN
esrj-75821	446	27	,	,	PUNCT
esrj-75821	446	28	&	&	CCONJ
esrj-75821	446	29	čomić	čomić	PROPN
esrj-75821	446	30	,	,	PUNCT
esrj-75821	446	31	l.	l.	PROPN
esrj-75821	446	32	(	(	PUNCT
esrj-75821	446	33	2010	2010	NUM
esrj-75821	446	34	)	)	PUNCT
esrj-75821	446	35	.	.	PUNCT
esrj-75821	447	1	neural	neural	ADJ
esrj-75821	447	2	network	network	NOUN
esrj-75821	447	3	modeling	modeling	NOUN
esrj-75821	447	4	of	of	ADP
esrj-75821	447	5	dissolved	dissolved	ADJ
esrj-75821	447	6	oxygen	oxygen	NOUN
esrj-75821	447	7	in	in	ADP
esrj-75821	447	8	the	the	DET
esrj-75821	447	9	gruža	gruža	PROPN
esrj-75821	447	10	reservoir	reservoir	PROPN
esrj-75821	447	11	,	,	PUNCT
esrj-75821	447	12	serbia	serbia	PROPN
esrj-75821	447	13	.	.	PUNCT
esrj-75821	448	1	ecological	ecological	ADJ
esrj-75821	448	2	modelling	modelling	NOUN
esrj-75821	448	3	,	,	PUNCT
esrj-75821	448	4	221(8	221(8	NUM
esrj-75821	448	5	)	)	PUNCT
esrj-75821	448	6	,	,	PUNCT
esrj-75821	448	7	1239	1239	NUM
esrj-75821	448	8	-	-	SYM
esrj-75821	448	9	1244	1244	NUM
esrj-75821	448	10	.	.	PUNCT
esrj-75821	449	1	doi	doi	NOUN
esrj-75821	449	2	:	:	PUNCT
esrj-75821	449	3	10.1016	10.1016	NUM
esrj-75821	449	4	/	/	SYM
esrj-75821	449	5	j.	j.	PROPN
esrj-75821	449	6	ecolmodel.2009.12.023	ecolmodel.2009.12.023	NUM
esrj-75821	449	7	rasmy	rasmy	PROPN
esrj-75821	449	8	,	,	PUNCT
esrj-75821	449	9	m.	m.	NOUN
esrj-75821	449	10	,	,	PUNCT
esrj-75821	449	11	gad	gad	PROPN
esrj-75821	449	12	,	,	PUNCT
esrj-75821	449	13	a.	a.	PROPN
esrj-75821	449	14	,	,	PUNCT
esrj-75821	449	15	abdelsalam	abdelsalam	PROPN
esrj-75821	449	16	,	,	PUNCT
esrj-75821	449	17	h.	h.	PROPN
esrj-75821	449	18	,	,	PUNCT
esrj-75821	449	19	&	&	CCONJ
esrj-75821	449	20	siwailam	siwailam	PROPN
esrj-75821	449	21	,	,	PUNCT
esrj-75821	449	22	m.	m.	NOUN
esrj-75821	449	23	(	(	PUNCT
esrj-75821	449	24	2010	2010	NUM
esrj-75821	449	25	)	)	PUNCT
esrj-75821	449	26	.	.	PUNCT
esrj-75821	450	1	a	a	DET
esrj-75821	450	2	dynamic	dynamic	ADJ
esrj-75821	450	3	simulation	simulation	NOUN
esrj-75821	450	4	model	model	NOUN
esrj-75821	450	5	of	of	ADP
esrj-75821	450	6	desertification	desertification	NOUN
esrj-75821	450	7	in	in	ADP
esrj-75821	450	8	egypt	egypt	PROPN
esrj-75821	450	9	.	.	PUNCT
esrj-75821	451	1	the	the	DET
esrj-75821	451	2	egyptian	egyptian	ADJ
esrj-75821	451	3	journal	journal	PROPN
esrj-75821	451	4	of	of	ADP
esrj-75821	451	5	remote	remote	ADJ
esrj-75821	451	6	sensing	sensing	NOUN
esrj-75821	451	7	and	and	CCONJ
esrj-75821	451	8	space	space	NOUN
esrj-75821	451	9	science	science	NOUN
esrj-75821	451	10	,	,	PUNCT
esrj-75821	451	11	13(2	13(2	PROPN
esrj-75821	451	12	)	)	PUNCT
esrj-75821	451	13	,	,	PUNCT
esrj-75821	451	14	101	101	NUM
esrj-75821	451	15	-	-	SYM
esrj-75821	451	16	111	111	NUM
esrj-75821	451	17	.	.	PUNCT
esrj-75821	452	1	doi	doi	NOUN
esrj-75821	452	2	:	:	PUNCT
esrj-75821	452	3	10.1016	10.1016	NUM
esrj-75821	452	4	/	/	SYM
esrj-75821	452	5	j.	j.	PROPN
esrj-75821	452	6	ejrs.2010.03.001	ejrs.2010.03.001	PROPN
esrj-75821	452	7	roy	roy	PROPN
esrj-75821	452	8	,	,	PUNCT
esrj-75821	452	9	p.	p.	PROPN
esrj-75821	452	10	p.	p.	PROPN
esrj-75821	452	11	,	,	PUNCT
esrj-75821	452	12	&	&	CCONJ
esrj-75821	452	13	roy	roy	PROPN
esrj-75821	452	14	,	,	PUNCT
esrj-75821	452	15	k.	k.	PROPN
esrj-75821	452	16	(	(	PUNCT
esrj-75821	452	17	2008	2008	NUM
esrj-75821	452	18	)	)	PUNCT
esrj-75821	452	19	.	.	PUNCT
esrj-75821	453	1	on	on	ADP
esrj-75821	453	2	some	some	DET
esrj-75821	453	3	aspects	aspect	NOUN
esrj-75821	453	4	of	of	ADP
esrj-75821	453	5	variable	variable	ADJ
esrj-75821	453	6	selection	selection	NOUN
esrj-75821	453	7	for	for	ADP
esrj-75821	453	8	partial	partial	ADJ
esrj-75821	453	9	least	least	ADJ
esrj-75821	453	10	squares	square	NOUN
esrj-75821	453	11	regression	regression	NOUN
esrj-75821	453	12	models	model	NOUN
esrj-75821	453	13	.	.	PUNCT
esrj-75821	454	1	qsar	qsar	PROPN
esrj-75821	454	2	combinatorial	combinatorial	ADJ
esrj-75821	454	3	science	science	NOUN
esrj-75821	454	4	,	,	PUNCT
esrj-75821	454	5	27(3	27(3	NUM
esrj-75821	454	6	)	)	PUNCT
esrj-75821	454	7	,	,	PUNCT
esrj-75821	454	8	302	302	NUM
esrj-75821	454	9	-	-	SYM
esrj-75821	454	10	313	313	NUM
esrj-75821	454	11	.	.	PUNCT
esrj-75821	455	1	doi	doi	NOUN
esrj-75821	455	2	:	:	PUNCT
esrj-75821	455	3	10.1002	10.1002	NUM
esrj-75821	455	4	/	/	SYM
esrj-75821	455	5	qsar.200710043	qsar.200710043	PROPN
esrj-75821	455	6	sahoo	sahoo	PROPN
esrj-75821	455	7	,	,	PUNCT
esrj-75821	455	8	s.	s.	PROPN
esrj-75821	455	9	,	,	PUNCT
esrj-75821	455	10	&	&	CCONJ
esrj-75821	455	11	jha	jha	PROPN
esrj-75821	455	12	,	,	PUNCT
esrj-75821	455	13	m.	m.	PROPN
esrj-75821	455	14	k.	k.	PROPN
esrj-75821	455	15	(	(	PUNCT
esrj-75821	455	16	2013	2013	NUM
esrj-75821	455	17	)	)	PUNCT
esrj-75821	455	18	.	.	PUNCT
esrj-75821	456	1	groundwater	groundwater	NOUN
esrj-75821	456	2	-	-	PUNCT
esrj-75821	456	3	level	level	NOUN
esrj-75821	456	4	prediction	prediction	NOUN
esrj-75821	456	5	using	use	VERB
esrj-75821	456	6	multiple	multiple	ADJ
esrj-75821	456	7	linear	linear	ADJ
esrj-75821	456	8	regression	regression	NOUN
esrj-75821	456	9	and	and	CCONJ
esrj-75821	456	10	artificial	artificial	ADJ
esrj-75821	456	11	neural	neural	ADJ
esrj-75821	456	12	network	network	NOUN
esrj-75821	456	13	techniques	technique	NOUN
esrj-75821	456	14	:	:	PUNCT
esrj-75821	456	15	a	a	DET
esrj-75821	456	16	comparative	comparative	ADJ
esrj-75821	456	17	assessment	assessment	NOUN
esrj-75821	456	18	.	.	PUNCT
esrj-75821	457	1	hydrogeology	hydrogeology	NOUN
esrj-75821	457	2	journal	journal	PROPN
esrj-75821	457	3	,	,	PUNCT
esrj-75821	457	4	21	21	NUM
esrj-75821	457	5	,	,	PUNCT
esrj-75821	457	6	1865	1865	NUM
esrj-75821	457	7	-	-	SYM
esrj-75821	457	8	1887	1887	NUM
esrj-75821	457	9	.	.	PUNCT
esrj-75821	458	1	doi	doi	NOUN
esrj-75821	458	2	:	:	PUNCT
esrj-75821	458	3	10.1007	10.1007	NUM
esrj-75821	458	4	/	/	SYM
esrj-75821	458	5	s10040	s10040	NOUN
esrj-75821	458	6	-	-	PUNCT
esrj-75821	458	7	013	013	NUM
esrj-75821	458	8	-	-	PUNCT
esrj-75821	458	9	1029	1029	NUM
esrj-75821	458	10	-	-	SYM
esrj-75821	458	11	5	5	NUM
esrj-75821	458	12	sethi	sethi	PROPN
esrj-75821	458	13	,	,	PUNCT
esrj-75821	458	14	r.	r.	PROPN
esrj-75821	458	15	r.	r.	PROPN
esrj-75821	458	16	,	,	PUNCT
esrj-75821	458	17	kumar	kumar	PROPN
esrj-75821	458	18	,	,	PUNCT
esrj-75821	458	19	a.	a.	PROPN
esrj-75821	458	20	,	,	PUNCT
esrj-75821	458	21	sharma	sharma	PROPN
esrj-75821	458	22	,	,	PUNCT
esrj-75821	458	23	s.	s.	PROPN
esrj-75821	458	24	p.	p.	PROPN
esrj-75821	458	25	,	,	PUNCT
esrj-75821	458	26	&	&	CCONJ
esrj-75821	458	27	verma	verma	PROPN
esrj-75821	458	28	,	,	PUNCT
esrj-75821	458	29	h.	h.	PROPN
esrj-75821	458	30	c.	c.	PROPN
esrj-75821	458	31	(	(	PUNCT
esrj-75821	458	32	2010	2010	NUM
esrj-75821	458	33	)	)	PUNCT
esrj-75821	458	34	.	.	PUNCT
esrj-75821	459	1	prediction	prediction	NOUN
esrj-75821	459	2	of	of	ADP
esrj-75821	459	3	water	water	NOUN
esrj-75821	459	4	table	table	NOUN
esrj-75821	459	5	depth	depth	NOUN
esrj-75821	459	6	in	in	ADP
esrj-75821	459	7	a	a	DET
esrj-75821	459	8	hard	hard	ADJ
esrj-75821	459	9	rock	rock	NOUN
esrj-75821	459	10	basin	basin	NOUN
esrj-75821	459	11	by	by	ADP
esrj-75821	459	12	using	use	VERB
esrj-75821	459	13	artificial	artificial	ADJ
esrj-75821	459	14	neural	neural	ADJ
esrj-75821	459	15	network	network	NOUN
esrj-75821	459	16	.	.	PUNCT
esrj-75821	460	1	international	international	ADJ
esrj-75821	460	2	journal	journal	PROPN
esrj-75821	460	3	of	of	ADP
esrj-75821	460	4	water	water	NOUN
esrj-75821	460	5	resources	resource	NOUN
esrj-75821	460	6	and	and	CCONJ
esrj-75821	460	7	environmental	environmental	ADJ
esrj-75821	460	8	engineering	engineering	NOUN
esrj-75821	460	9	,	,	PUNCT
esrj-75821	460	10	2(4	2(4	NUM
esrj-75821	460	11	)	)	PUNCT
esrj-75821	460	12	,	,	PUNCT
esrj-75821	460	13	95	95	NUM
esrj-75821	460	14	-	-	SYM
esrj-75821	460	15	102	102	NUM
esrj-75821	460	16	.	.	PUNCT
esrj-75821	461	1	shammout	shammout	NOUN
esrj-75821	461	2	,	,	PUNCT
esrj-75821	461	3	m.	m.	PROPN
esrj-75821	461	4	w.	w.	PROPN
esrj-75821	461	5	,	,	PUNCT
esrj-75821	461	6	qtaishat	qtaishat	PROPN
esrj-75821	461	7	,	,	PUNCT
esrj-75821	461	8	t.	t.	PROPN
esrj-75821	461	9	,	,	PUNCT
esrj-75821	461	10	rawabdeh	rawabdeh	PROPN
esrj-75821	461	11	,	,	PUNCT
esrj-75821	461	12	h.	h.	PROPN
esrj-75821	461	13	,	,	PUNCT
esrj-75821	461	14	&	&	CCONJ
esrj-75821	461	15	shatanawi	shatanawi	PROPN
esrj-75821	461	16	,	,	PUNCT
esrj-75821	461	17	m.	m.	NOUN
esrj-75821	461	18	(	(	PUNCT
esrj-75821	461	19	2018	2018	NUM
esrj-75821	461	20	)	)	PUNCT
esrj-75821	461	21	.	.	PUNCT
esrj-75821	462	1	improving	improve	VERB
esrj-75821	462	2	water	water	NOUN
esrj-75821	462	3	use	use	NOUN
esrj-75821	462	4	efficiency	efficiency	NOUN
esrj-75821	462	5	under	under	ADP
esrj-75821	462	6	deficit	deficit	NOUN
esrj-75821	462	7	irrigation	irrigation	NOUN
esrj-75821	462	8	in	in	ADP
esrj-75821	462	9	the	the	DET
esrj-75821	462	10	jordan	jordan	PROPN
esrj-75821	462	11	valley	valley	PROPN
esrj-75821	462	12	.	.	PUNCT
esrj-75821	463	1	sustainability	sustainability	NOUN
esrj-75821	463	2	,	,	PUNCT
esrj-75821	463	3	10(11	10(11	NUM
esrj-75821	463	4	)	)	PUNCT
esrj-75821	463	5	,	,	PUNCT
esrj-75821	463	6	4317	4317	NUM
esrj-75821	463	7	.	.	PUNCT
esrj-75821	464	1	https://doi.org/10.3390/	https://doi.org/10.3390/	PROPN
esrj-75821	464	2	su10114317	su10114317	PROPN
esrj-75821	464	3	solgi	solgi	NOUN
esrj-75821	464	4	,	,	PUNCT
esrj-75821	464	5	a.	a.	PROPN
esrj-75821	464	6	,	,	PUNCT
esrj-75821	464	7	pourhaghi	pourhaghi	PROPN
esrj-75821	464	8	,	,	PUNCT
esrj-75821	464	9	a.	a.	NOUN
esrj-75821	464	10	,	,	PUNCT
esrj-75821	464	11	bahmani	bahmani	NOUN
esrj-75821	464	12	,	,	PUNCT
esrj-75821	464	13	r.	r.	PROPN
esrj-75821	464	14	,	,	PUNCT
esrj-75821	464	15	&	&	CCONJ
esrj-75821	464	16	zarei	zarei	PROPN
esrj-75821	464	17	,	,	PUNCT
esrj-75821	464	18	h.	h.	PROPN
esrj-75821	464	19	(	(	PUNCT
esrj-75821	464	20	2017	2017	NUM
esrj-75821	464	21	)	)	PUNCT
esrj-75821	464	22	.	.	PUNCT
esrj-75821	465	1	improving	improve	VERB
esrj-75821	465	2	svr	svr	PROPN
esrj-75821	465	3	and	and	CCONJ
esrj-75821	465	4	anfis	anfi	VERB
esrj-75821	465	5	performance	performance	NOUN
esrj-75821	465	6	using	use	VERB
esrj-75821	465	7	wavelet	wavelet	NOUN
esrj-75821	465	8	transform	transform	NOUN
esrj-75821	465	9	and	and	CCONJ
esrj-75821	465	10	pca	pca	NOUN
esrj-75821	465	11	algorithm	algorithm	NOUN
esrj-75821	465	12	for	for	ADP
esrj-75821	465	13	modeling	modeling	NOUN
esrj-75821	465	14	and	and	CCONJ
esrj-75821	465	15	predicting	predict	VERB
esrj-75821	465	16	biochemical	biochemical	ADJ
esrj-75821	465	17	oxygen	oxygen	NOUN
esrj-75821	465	18	demand	demand	NOUN
esrj-75821	465	19	(	(	PUNCT
esrj-75821	465	20	bod	bod	PROPN
esrj-75821	465	21	)	)	PUNCT
esrj-75821	465	22	.	.	PUNCT
esrj-75821	466	1	ecohydrology	ecohydrology	PROPN
esrj-75821	466	2	&	&	CCONJ
esrj-75821	466	3	hydrobiology	hydrobiology	PROPN
esrj-75821	466	4	,	,	PUNCT
esrj-75821	466	5	17(2	17(2	NUM
esrj-75821	466	6	)	)	PUNCT
esrj-75821	466	7	,	,	PUNCT
esrj-75821	466	8	164	164	NUM
esrj-75821	466	9	-	-	SYM
esrj-75821	466	10	175	175	NUM
esrj-75821	466	11	.	.	PUNCT
esrj-75821	467	1	doi	doi	NOUN
esrj-75821	467	2	:	:	PUNCT
esrj-75821	467	3	10.1016	10.1016	NUM
esrj-75821	467	4	/	/	SYM
esrj-75821	467	5	j.	j.	PROPN
esrj-75821	467	6	ecohyd.2017.02.002	ecohyd.2017.02.002	PROPN
esrj-75821	467	7	sophocleous	sophocleous	PROPN
esrj-75821	467	8	,	,	PUNCT
esrj-75821	467	9	m.	m.	NOUN
esrj-75821	467	10	(	(	PUNCT
esrj-75821	467	11	2005	2005	NUM
esrj-75821	467	12	)	)	PUNCT
esrj-75821	467	13	.	.	PUNCT
esrj-75821	468	1	groundwater	groundwater	NOUN
esrj-75821	468	2	recharge	recharge	NOUN
esrj-75821	468	3	and	and	CCONJ
esrj-75821	468	4	sustainability	sustainability	NOUN
esrj-75821	468	5	in	in	ADP
esrj-75821	468	6	the	the	DET
esrj-75821	468	7	high	high	ADJ
esrj-75821	468	8	plains	plain	NOUN
esrj-75821	468	9	aquifer	aquifer	NOUN
esrj-75821	468	10	in	in	ADP
esrj-75821	468	11	kansas	kansas	PROPN
esrj-75821	468	12	,	,	PUNCT
esrj-75821	468	13	usa	usa	PROPN
esrj-75821	468	14	.	.	PROPN
esrj-75821	468	15	hydrogeology	hydrogeology	PROPN
esrj-75821	468	16	journal	journal	NOUN
esrj-75821	468	17	,	,	PUNCT
esrj-75821	468	18	13	13	NUM
esrj-75821	468	19	,	,	PUNCT
esrj-75821	468	20	351	351	NUM
esrj-75821	468	21	-	-	SYM
esrj-75821	468	22	365	365	NUM
esrj-75821	468	23	.	.	PUNCT
esrj-75821	469	1	doi	doi	NOUN
esrj-75821	469	2	:	:	PUNCT
esrj-75821	469	3	10.1007	10.1007	NUM
esrj-75821	469	4	/	/	SYM
esrj-75821	469	5	s10040	s10040	NOUN
esrj-75821	469	6	-	-	PUNCT
esrj-75821	469	7	004	004	VERB
esrj-75821	469	8	-	-	PUNCT
esrj-75821	469	9	0385	0385	NUM
esrj-75821	469	10	-	-	PUNCT
esrj-75821	469	11	6	6	NUM
esrj-75821	469	12	taddese	taddese	NOUN
esrj-75821	469	13	,	,	PUNCT
esrj-75821	469	14	g.	g.	PROPN
esrj-75821	469	15	(	(	PUNCT
esrj-75821	469	16	2001	2001	NUM
esrj-75821	469	17	)	)	PUNCT
esrj-75821	469	18	.	.	PUNCT
esrj-75821	470	1	land	land	NOUN
esrj-75821	470	2	degradation	degradation	NOUN
esrj-75821	470	3	:	:	PUNCT
esrj-75821	470	4	a	a	DET
esrj-75821	470	5	challenge	challenge	NOUN
esrj-75821	470	6	to	to	ADP
esrj-75821	470	7	ethiopia	ethiopia	PROPN
esrj-75821	470	8	.	.	PUNCT
esrj-75821	471	1	environmental	environmental	ADJ
esrj-75821	471	2	management	management	NOUN
esrj-75821	471	3	,	,	PUNCT
esrj-75821	471	4	27(6	27(6	NUM
esrj-75821	471	5	)	)	PUNCT
esrj-75821	471	6	,	,	PUNCT
esrj-75821	471	7	815	815	NUM
esrj-75821	471	8	-	-	SYM
esrj-75821	471	9	824	824	NUM
esrj-75821	471	10	.	.	PUNCT
esrj-75821	472	1	doi:10.1007	doi:10.1007	VERB
esrj-75821	472	2	/	/	SYM
esrj-75821	472	3	s002670010190	s002670010190	PROPN
esrj-75821	472	4	tahmoures	tahmoure	NOUN
esrj-75821	472	5	,	,	PUNCT
esrj-75821	472	6	m.	m.	NOUN
esrj-75821	472	7	,	,	PUNCT
esrj-75821	472	8	jafaria	jafaria	PROPN
esrj-75821	472	9	,	,	PUNCT
esrj-75821	472	10	m.	m.	NOUN
esrj-75821	472	11	,	,	PUNCT
esrj-75821	472	12	ahmadi	ahmadi	PROPN
esrj-75821	472	13	,	,	PUNCT
esrj-75821	472	14	h.	h.	PROPN
esrj-75821	472	15	,	,	PUNCT
esrj-75821	472	16	&	&	CCONJ
esrj-75821	472	17	naghiloo	naghiloo	PROPN
esrj-75821	472	18	,	,	PUNCT
esrj-75821	472	19	m.	m.	NOUN
esrj-75821	472	20	(	(	PUNCT
esrj-75821	472	21	2013	2013	NUM
esrj-75821	472	22	)	)	PUNCT
esrj-75821	472	23	.	.	PUNCT
esrj-75821	473	1	an	an	DET
esrj-75821	473	2	integrated	integrate	VERB
esrj-75821	473	3	methodology	methodology	NOUN
esrj-75821	473	4	for	for	ADP
esrj-75821	473	5	assessment	assessment	NOUN
esrj-75821	473	6	and	and	CCONJ
esrj-75821	473	7	mapping	mapping	NOUN
esrj-75821	473	8	of	of	ADP
esrj-75821	473	9	land	land	NOUN
esrj-75821	473	10	degradation	degradation	NOUN
esrj-75821	473	11	risk	risk	NOUN
esrj-75821	473	12	in	in	ADP
esrj-75821	473	13	markazi	markazi	PROPN
esrj-75821	473	14	province	province	PROPN
esrj-75821	473	15	,	,	PUNCT
esrj-75821	473	16	iran	iran	PROPN
esrj-75821	473	17	.	.	PUNCT
esrj-75821	474	1	desert	desert	PROPN
esrj-75821	474	2	,	,	PUNCT
esrj-75821	474	3	18	18	NUM
esrj-75821	474	4	,	,	PUNCT
esrj-75821	474	5	27	27	NUM
esrj-75821	474	6	-	-	SYM
esrj-75821	474	7	43	43	NUM
esrj-75821	474	8	.	.	PUNCT
esrj-75821	475	1	tan	tan	PROPN
esrj-75821	475	2	,	,	PUNCT
esrj-75821	475	3	y.	y.	PROPN
esrj-75821	475	4	,	,	PUNCT
esrj-75821	475	5	shuai	shuai	PROPN
esrj-75821	475	6	,	,	PUNCT
esrj-75821	475	7	c.	c.	PROPN
esrj-75821	475	8	,	,	PUNCT
esrj-75821	475	9	jiao	jiao	PROPN
esrj-75821	475	10	,	,	PUNCT
esrj-75821	475	11	l.	l.	PROPN
esrj-75821	475	12	,	,	PUNCT
esrj-75821	475	13	&	&	CCONJ
esrj-75821	475	14	shen	shen	PROPN
esrj-75821	475	15	,	,	PUNCT
esrj-75821	475	16	l.	l.	PROPN
esrj-75821	475	17	(	(	PUNCT
esrj-75821	475	18	2017	2017	NUM
esrj-75821	475	19	)	)	PUNCT
esrj-75821	475	20	.	.	PUNCT
esrj-75821	476	1	an	an	DET
esrj-75821	476	2	adaptive	adaptive	ADJ
esrj-75821	476	3	neuro	neuro	NOUN
esrj-75821	476	4	-	-	PUNCT
esrj-75821	476	5	fuzzy	fuzzy	ADJ
esrj-75821	476	6	inference	inference	NOUN
esrj-75821	476	7	system	system	NOUN
esrj-75821	476	8	(	(	PUNCT
esrj-75821	476	9	anfis	anfis	ADJ
esrj-75821	476	10	)	)	PUNCT
esrj-75821	476	11	approach	approach	NOUN
esrj-75821	476	12	for	for	ADP
esrj-75821	476	13	measuring	measure	VERB
esrj-75821	476	14	country	country	NOUN
esrj-75821	476	15	sustainability	sustainability	NOUN
esrj-75821	476	16	performance	performance	NOUN
esrj-75821	476	17	.	.	PUNCT
esrj-75821	477	1	environmental	environmental	ADJ
esrj-75821	477	2	impact	impact	PROPN
esrj-75821	477	3	assessment	assessment	NOUN
esrj-75821	477	4	review	review	PROPN
esrj-75821	477	5	,	,	PUNCT
esrj-75821	477	6	65	65	NUM
esrj-75821	477	7	,	,	PUNCT
esrj-75821	477	8	29	29	NUM
esrj-75821	477	9	-	-	SYM
esrj-75821	477	10	40	40	NUM
esrj-75821	477	11	.	.	PUNCT
esrj-75821	478	1	doi	doi	NOUN
esrj-75821	478	2	:	:	PUNCT
esrj-75821	478	3	10.1016	10.1016	NUM
esrj-75821	478	4	/	/	SYM
esrj-75821	478	5	j.eiar.2017.04.004	j.eiar.2017.04.004	NOUN
esrj-75821	478	6	tekin	tekin	NOUN
esrj-75821	478	7	,	,	PUNCT
esrj-75821	478	8	y.	y.	NOUN
esrj-75821	478	9	,	,	PUNCT
esrj-75821	478	10	tümsavas	tümsavas	NOUN
esrj-75821	478	11	,	,	PUNCT
esrj-75821	478	12	z.	z.	PROPN
esrj-75821	478	13	,	,	PUNCT
esrj-75821	478	14	&	&	CCONJ
esrj-75821	478	15	mouazen	mouazen	PROPN
esrj-75821	478	16	,	,	PUNCT
esrj-75821	478	17	a.	a.	NOUN
esrj-75821	478	18	m.	m.	NOUN
esrj-75821	478	19	(	(	PUNCT
esrj-75821	478	20	2014	2014	NUM
esrj-75821	478	21	)	)	PUNCT
esrj-75821	478	22	.	.	PUNCT
esrj-75821	479	1	comparing	compare	VERB
esrj-75821	479	2	the	the	DET
esrj-75821	479	3	artificial	artificial	ADJ
esrj-75821	479	4	neural	neural	ADJ
esrj-75821	479	5	network	network	NOUN
esrj-75821	479	6	with	with	ADP
esrj-75821	479	7	parcial	parcial	ADJ
esrj-75821	479	8	least	least	ADJ
esrj-75821	479	9	squares	square	NOUN
esrj-75821	479	10	for	for	ADP
esrj-75821	479	11	prediction	prediction	NOUN
esrj-75821	479	12	of	of	ADP
esrj-75821	479	13	soil	soil	NOUN
esrj-75821	479	14	organic	organic	ADJ
esrj-75821	479	15	carbon	carbon	NOUN
esrj-75821	479	16	and	and	CCONJ
esrj-75821	479	17	ph	ph	NOUN
esrj-75821	479	18	at	at	ADP
esrj-75821	479	19	different	different	ADJ
esrj-75821	479	20	moisture	moisture	NOUN
esrj-75821	479	21	content	content	NOUN
esrj-75821	479	22	levels	level	NOUN
esrj-75821	479	23	using	use	VERB
esrj-75821	479	24	visible	visible	ADJ
esrj-75821	479	25	and	and	CCONJ
esrj-75821	479	26	near	near	ADV
esrj-75821	479	27	-	-	PUNCT
esrj-75821	479	28	infrared	infrared	ADJ
esrj-75821	479	29	spectroscopy	spectroscopy	NOUN
esrj-75821	479	30	.	.	PUNCT
esrj-75821	480	1	revista	revista	PROPN
esrj-75821	480	2	brasileira	brasileira	PROPN
esrj-75821	480	3	de	de	PROPN
esrj-75821	480	4	ciência	ciência	PROPN
esrj-75821	480	5	do	do	VERB
esrj-75821	480	6	solo	solo	NOUN
esrj-75821	480	7	,	,	PUNCT
esrj-75821	480	8	38(6	38(6	NOUN
esrj-75821	480	9	)	)	PUNCT
esrj-75821	480	10	.	.	PUNCT
esrj-75821	481	1	doi	doi	NOUN
esrj-75821	481	2	:	:	PUNCT
esrj-75821	481	3	10.1590	10.1590	NUM
esrj-75821	481	4	/	/	SYM
esrj-75821	481	5	s0100	s0100	PROPN
esrj-75821	481	6	-	-	PUNCT
esrj-75821	481	7	06832014000600014	06832014000600014	NUM
esrj-75821	481	8	thomas	thomas	PROPN
esrj-75821	481	9	,	,	PUNCT
esrj-75821	481	10	d.	d.	PROPN
esrj-75821	481	11	s.	s.	PROPN
esrj-75821	481	12	g.	g.	PROPN
esrj-75821	481	13	(	(	PUNCT
esrj-75821	481	14	1997	1997	NUM
esrj-75821	481	15	)	)	PUNCT
esrj-75821	481	16	.	.	PUNCT
esrj-75821	482	1	science	science	NOUN
esrj-75821	482	2	and	and	CCONJ
esrj-75821	482	3	the	the	DET
esrj-75821	482	4	desertification	desertification	NOUN
esrj-75821	482	5	debate	debate	NOUN
esrj-75821	482	6	.	.	PUNCT
esrj-75821	483	1	journal	journal	NOUN
esrj-75821	483	2	of	of	ADP
esrj-75821	483	3	arid	arid	ADJ
esrj-75821	483	4	environments	environment	NOUN
esrj-75821	483	5	,	,	PUNCT
esrj-75821	483	6	37(4	37(4	NOUN
esrj-75821	483	7	)	)	PUNCT
esrj-75821	483	8	,	,	PUNCT
esrj-75821	483	9	599	599	NUM
esrj-75821	483	10	-	-	SYM
esrj-75821	483	11	608	608	NUM
esrj-75821	483	12	.	.	PUNCT
esrj-75821	484	1	doi	doi	NOUN
esrj-75821	484	2	:	:	PUNCT
esrj-75821	484	3	10.1006	10.1006	NUM
esrj-75821	484	4	/	/	SYM
esrj-75821	484	5	jare.1997.0293	jare.1997.0293	NOUN
esrj-75821	484	6	tzanakakis	tzanakaki	NOUN
esrj-75821	484	7	,	,	PUNCT
esrj-75821	484	8	v.	v.	PROPN
esrj-75821	484	9	,	,	PUNCT
esrj-75821	484	10	mauromoustakos	mauromoustakos	PROPN
esrj-75821	484	11	,	,	PUNCT
esrj-75821	484	12	a.	a.	PROPN
esrj-75821	484	13	,	,	PUNCT
esrj-75821	484	14	&	&	CCONJ
esrj-75821	484	15	angelakis	angelakis	PROPN
esrj-75821	484	16	,	,	PUNCT
esrj-75821	484	17	a.	a.	NOUN
esrj-75821	484	18	(	(	PUNCT
esrj-75821	484	19	2014	2014	NUM
esrj-75821	484	20	)	)	PUNCT
esrj-75821	484	21	.	.	PUNCT
esrj-75821	485	1	prediction	prediction	NOUN
esrj-75821	485	2	of	of	ADP
esrj-75821	485	3	biomass	biomass	NOUN
esrj-75821	485	4	production	production	NOUN
esrj-75821	485	5	and	and	CCONJ
esrj-75821	485	6	nutrient	nutrient	NOUN
esrj-75821	485	7	uptake	uptake	NOUN
esrj-75821	485	8	in	in	ADP
esrj-75821	485	9	land	land	NOUN
esrj-75821	485	10	application	application	NOUN
esrj-75821	485	11	using	use	VERB
esrj-75821	485	12	partial	partial	ADJ
esrj-75821	485	13	least	least	ADJ
esrj-75821	485	14	squares	square	NOUN
esrj-75821	485	15	regression	regression	VERB
esrj-75821	485	16	analysis	analysis	NOUN
esrj-75821	485	17	.	.	PUNCT
esrj-75821	486	1	water	water	NOUN
esrj-75821	486	2	,	,	PUNCT
esrj-75821	486	3	7(1	7(1	NUM
esrj-75821	486	4	)	)	PUNCT
esrj-75821	486	5	,	,	PUNCT
esrj-75821	486	6	1	1	NUM
esrj-75821	486	7	-	-	SYM
esrj-75821	486	8	11	11	NUM
esrj-75821	486	9	.	.	PUNCT
esrj-75821	487	1	doi	doi	NOUN
esrj-75821	487	2	:	:	PUNCT
esrj-75821	487	3	10.3390	10.3390	NUM
esrj-75821	487	4	/	/	SYM
esrj-75821	487	5	w7010001	w7010001	ADJ
esrj-75821	487	6	van	van	PROPN
esrj-75821	487	7	,	,	PUNCT
esrj-75821	487	8	l.	l.	PROPN
esrj-75821	487	9	g.	g.	PROPN
esrj-75821	487	10	w.	w.	PROPN
esrj-75821	487	11	j.	j.	PROPN
esrj-75821	487	12	,	,	PUNCT
esrj-75821	487	13	&	&	CCONJ
esrj-75821	487	14	oldeman	oldeman	NOUN
esrj-75821	487	15	,	,	PUNCT
esrj-75821	487	16	l.	l.	PROPN
esrj-75821	487	17	r.	r.	PROPN
esrj-75821	487	18	(	(	PUNCT
esrj-75821	487	19	1997	1997	NUM
esrj-75821	487	20	)	)	PUNCT
esrj-75821	487	21	.	.	PUNCT
esrj-75821	488	1	the	the	DET
esrj-75821	488	2	assessment	assessment	NOUN
esrj-75821	488	3	of	of	ADP
esrj-75821	488	4	the	the	DET
esrj-75821	488	5	status	status	NOUN
esrj-75821	488	6	of	of	ADP
esrj-75821	488	7	human	human	NOUN
esrj-75821	488	8	-	-	PUNCT
esrj-75821	488	9	induced	induce	VERB
esrj-75821	488	10	soil	soil	NOUN
esrj-75821	488	11	degradation	degradation	NOUN
esrj-75821	488	12	in	in	ADP
esrj-75821	488	13	south	south	ADJ
esrj-75821	488	14	and	and	CCONJ
esrj-75821	488	15	southeast	southeast	ADJ
esrj-75821	488	16	asia	asia	PROPN
esrj-75821	488	17	.	.	PUNCT
esrj-75821	489	1	international	international	ADJ
esrj-75821	489	2	soil	soil	NOUN
esrj-75821	489	3	reference	reference	NOUN
esrj-75821	489	4	and	and	CCONJ
esrj-75821	489	5	information	information	NOUN
esrj-75821	489	6	centre	centre	NOUN
esrj-75821	489	7	.	.	PUNCT
esrj-75821	490	1	verner	verner	NOUN
esrj-75821	490	2	,	,	PUNCT
esrj-75821	490	3	d.	d.	PROPN
esrj-75821	490	4	,	,	PUNCT
esrj-75821	490	5	lee	lee	PROPN
esrj-75821	490	6	,	,	PUNCT
esrj-75821	490	7	d.	d.	PROPN
esrj-75821	490	8	,	,	PUNCT
esrj-75821	490	9	&	&	CCONJ
esrj-75821	490	10	ashwill	ashwill	NOUN
esrj-75821	490	11	,	,	PUNCT
esrj-75821	490	12	m.	m.	NOUN
esrj-75821	490	13	(	(	PUNCT
esrj-75821	490	14	2013	2013	NUM
esrj-75821	490	15	)	)	PUNCT
esrj-75821	490	16	.	.	PUNCT
esrj-75821	491	1	increasing	increase	VERB
esrj-75821	491	2	resilience	resilience	NOUN
esrj-75821	491	3	to	to	PART
esrj-75821	491	4	climate	climate	NOUN
esrj-75821	491	5	change	change	NOUN
esrj-75821	491	6	in	in	ADP
esrj-75821	491	7	the	the	DET
esrj-75821	491	8	agricultural	agricultural	ADJ
esrj-75821	491	9	sector	sector	NOUN
esrj-75821	491	10	of	of	ADP
esrj-75821	491	11	the	the	DET
esrj-75821	491	12	middle	middle	PROPN
esrj-75821	491	13	east	east	PROPN
esrj-75821	491	14	:	:	PUNCT
esrj-75821	491	15	the	the	DET
esrj-75821	491	16	cases	case	NOUN
esrj-75821	491	17	of	of	ADP
esrj-75821	491	18	jordan	jordan	PROPN
esrj-75821	491	19	and	and	CCONJ
esrj-75821	491	20	lebanon	lebanon	PROPN
esrj-75821	491	21	.	.	PUNCT
esrj-75821	492	1	world	world	PROPN
esrj-75821	492	2	bank	bank	PROPN
esrj-75821	492	3	publications	publication	NOUN
esrj-75821	492	4	:	:	PUNCT
esrj-75821	492	5	washington	washington	PROPN
esrj-75821	492	6	,	,	PUNCT
esrj-75821	492	7	dc	dc	PROPN
esrj-75821	492	8	,	,	PUNCT
esrj-75821	492	9	usa	usa	PROPN
esrj-75821	492	10	.	.	PROPN
esrj-75821	492	11	webster	webster	PROPN
esrj-75821	492	12	,	,	PUNCT
esrj-75821	492	13	r.	r.	PROPN
esrj-75821	492	14	&	&	CCONJ
esrj-75821	492	15	oliver	oliver	PROPN
esrj-75821	492	16	,	,	PUNCT
esrj-75821	492	17	m.	m.	NOUN
esrj-75821	492	18	a.	a.	NOUN
esrj-75821	492	19	(	(	PUNCT
esrj-75821	492	20	2007	2007	NUM
esrj-75821	492	21	)	)	PUNCT
esrj-75821	492	22	.	.	PUNCT
esrj-75821	493	1	geostatistics	geostatistic	NOUN
esrj-75821	493	2	for	for	ADP
esrj-75821	493	3	environmental	environmental	ADJ
esrj-75821	493	4	scientists	scientist	NOUN
esrj-75821	493	5	statistics	statistic	NOUN
esrj-75821	493	6	in	in	ADP
esrj-75821	493	7	practice	practice	NOUN
esrj-75821	493	8	.	.	PUNCT
esrj-75821	494	1	wiley	wiley	PROPN
esrj-75821	494	2	.	.	PUNCT
esrj-75821	495	1	wold	wold	PROPN
esrj-75821	495	2	,	,	PUNCT
esrj-75821	495	3	h.	h.	PROPN
esrj-75821	495	4	(	(	PUNCT
esrj-75821	495	5	1985	1985	NUM
esrj-75821	495	6	)	)	PUNCT
esrj-75821	495	7	.	.	PUNCT
esrj-75821	496	1	partial	partial	ADJ
esrj-75821	496	2	least	least	ADJ
esrj-75821	496	3	squares	square	NOUN
esrj-75821	496	4	.	.	PUNCT
esrj-75821	497	1	encyclopedia	encyclopedia	NOUN
esrj-75821	497	2	of	of	ADP
esrj-75821	497	3	statistical	statistical	ADJ
esrj-75821	497	4	sciences	science	NOUN
esrj-75821	497	5	.	.	PUNCT
esrj-75821	498	1	doi	doi	NOUN
esrj-75821	498	2	:	:	PUNCT
esrj-75821	498	3	10.1002/0471667196	10.1002/0471667196	NUM
esrj-75821	498	4	wold	wold	ADJ
esrj-75821	498	5	,	,	PUNCT
esrj-75821	498	6	s.	s.	PROPN
esrj-75821	498	7	,	,	PUNCT
esrj-75821	498	8	sjöström	sjöström	NOUN
esrj-75821	498	9	,	,	PUNCT
esrj-75821	498	10	m.	m.	NOUN
esrj-75821	498	11	,	,	PUNCT
esrj-75821	498	12	&	&	CCONJ
esrj-75821	498	13	eriksson	eriksson	PROPN
esrj-75821	498	14	,	,	PUNCT
esrj-75821	498	15	l.	l.	PROPN
esrj-75821	498	16	(	(	PUNCT
esrj-75821	498	17	2001	2001	NUM
esrj-75821	498	18	)	)	PUNCT
esrj-75821	498	19	.	.	PUNCT
esrj-75821	499	1	pls	pls	NOUN
esrj-75821	499	2	-	-	PUNCT
esrj-75821	499	3	regression	regression	NOUN
esrj-75821	499	4	:	:	PUNCT
esrj-75821	499	5	a	a	DET
esrj-75821	499	6	basic	basic	ADJ
esrj-75821	499	7	tool	tool	NOUN
esrj-75821	499	8	of	of	ADP
esrj-75821	499	9	chemometrics	chemometric	NOUN
esrj-75821	499	10	.	.	PUNCT
esrj-75821	500	1	chemometrics	chemometric	NOUN
esrj-75821	500	2	and	and	CCONJ
esrj-75821	500	3	intelligent	intelligent	ADJ
esrj-75821	500	4	laboratory	laboratory	NOUN
esrj-75821	500	5	systems	system	NOUN
esrj-75821	500	6	,	,	PUNCT
esrj-75821	500	7	58(2	58(2	NUM
esrj-75821	500	8	)	)	PUNCT
esrj-75821	500	9	,	,	PUNCT
esrj-75821	500	10	109	109	NUM
esrj-75821	500	11	-	-	SYM
esrj-75821	500	12	130	130	NUM
esrj-75821	500	13	.	.	PUNCT
esrj-75821	501	1	https://doi.org/10.1016/s0169-7439(01)00155-1	https://doi.org/10.1016/s0169-7439(01)00155-1	PROPN
esrj-75821	502	1	https://doi.org/10.1007/s11269-020-02672-8	https://doi.org/10.1007/s11269-020-02672-8	PRON
esrj-75821	502	2	https://doi.org/10.1007/s11269-020-02672-8	https://doi.org/10.1007/s11269-020-02672-8	PRON
esrj-75821	503	1	https://doi.org/10.1002/ldr.3488	https://doi.org/10.1002/ldr.3488	PROPN
esrj-75821	503	2	https://doi.org/10.1007/978-3-319-40195-9	https://doi.org/10.1007/978-3-319-40195-9	PROPN
esrj-75821	503	3	https://doi.org/10.1007/978-3-319-40195-9	https://doi.org/10.1007/978-3-319-40195-9	PROPN
esrj-75821	503	4	https://doi.org/10.1016/j.jhydrol.2019.124090	https://doi.org/10.1016/j.jhydrol.2019.124090	NOUN
esrj-75821	503	5	https://doi.org/10.1016/j.jhydrol.2019.124090	https://doi.org/10.1016/j.jhydrol.2019.124090	PROPN
esrj-75821	503	6	https://doi.org/10.20546/ijcmas.2018.702.358	https://doi.org/10.20546/ijcmas.2018.702.358	PROPN
esrj-75821	503	7	https://doi.org/10.3390/su10114317	https://doi.org/10.3390/su10114317	PROPN
esrj-75821	503	8	https://doi.org/10.3390/su10114317	https://doi.org/10.3390/su10114317	PROPN
esrj-75821	503	9	https://doi.org/10.1016/s0169-7439(01)00155-1	https://doi.org/10.1016/s0169-7439(01)00155-1	PROPN
esrj-75821	503	10	362	362	NUM
esrj-75821	503	11	vahid	vahid	PROPN
esrj-75821	503	12	habibi	habibi	PROPN
esrj-75821	503	13	,	,	PUNCT
esrj-75821	503	14	hassan	hassan	PROPN
esrj-75821	503	15	ahmadi	ahmadi	PROPN
esrj-75821	503	16	,	,	PUNCT
esrj-75821	503	17	mohammad	mohammad	PROPN
esrj-75821	503	18	jaffari	jaffari	PROPN
esrj-75821	503	19	,	,	PUNCT
esrj-75821	503	20	abolfazl	abolfazl	VERB
esrj-75821	503	21	moein	moein	PROPN
esrj-75821	503	22	wu	wu	PROPN
esrj-75821	503	23	,	,	PUNCT
esrj-75821	503	24	w.	w.	PROPN
esrj-75821	503	25	y.	y.	PROPN
esrj-75821	503	26	,	,	PUNCT
esrj-75821	503	27	lo	lo	PROPN
esrj-75821	503	28	,	,	PUNCT
esrj-75821	503	29	m.	m.	PROPN
esrj-75821	503	30	h.	h.	PROPN
esrj-75821	503	31	,	,	PUNCT
esrj-75821	503	32	wada	wada	PROPN
esrj-75821	503	33	,	,	PUNCT
esrj-75821	503	34	y.	y.	PROPN
esrj-75821	503	35	,	,	PUNCT
esrj-75821	503	36	famiglietti	famiglietti	PROPN
esrj-75821	503	37	,	,	PUNCT
esrj-75821	503	38	j.	j.	PROPN
esrj-75821	503	39	s.	s.	PROPN
esrj-75821	503	40	,	,	PUNCT
esrj-75821	503	41	reager	reager	NOUN
esrj-75821	503	42	,	,	PUNCT
esrj-75821	503	43	j.	j.	PROPN
esrj-75821	503	44	t.	t.	PROPN
esrj-75821	503	45	,	,	PUNCT
esrj-75821	503	46	yeh	yeh	PROPN
esrj-75821	503	47	,	,	PUNCT
esrj-75821	503	48	p.	p.	PROPN
esrj-75821	503	49	j.	j.	PROPN
esrj-75821	503	50	f.	f.	PROPN
esrj-75821	503	51	,	,	PUNCT
esrj-75821	503	52	ducharne	ducharne	NOUN
esrj-75821	503	53	,	,	PUNCT
esrj-75821	503	54	a.	a.	NOUN
esrj-75821	503	55	,	,	PUNCT
esrj-75821	503	56	&	&	CCONJ
esrj-75821	503	57	yang	yang	PROPN
esrj-75821	503	58	,	,	PUNCT
esrj-75821	503	59	z.	z.	PROPN
esrj-75821	503	60	l.	l.	PROPN
esrj-75821	503	61	(	(	PUNCT
esrj-75821	503	62	2020	2020	NUM
esrj-75821	503	63	)	)	PUNCT
esrj-75821	503	64	.	.	PUNCT
esrj-75821	504	1	divergent	divergent	ADJ
esrj-75821	504	2	effects	effect	NOUN
esrj-75821	504	3	of	of	ADP
esrj-75821	504	4	climate	climate	NOUN
esrj-75821	504	5	change	change	NOUN
esrj-75821	504	6	on	on	ADP
esrj-75821	504	7	future	future	ADJ
esrj-75821	504	8	groundwater	groundwater	NOUN
esrj-75821	504	9	availability	availability	NOUN
esrj-75821	504	10	in	in	ADP
esrj-75821	504	11	key	key	ADJ
esrj-75821	504	12	mid	mid	ADJ
esrj-75821	504	13	-	-	ADJ
esrj-75821	504	14	latitude	latitude	ADJ
esrj-75821	504	15	aquifers	aquifer	NOUN
esrj-75821	504	16	.	.	PUNCT
esrj-75821	505	1	nature	nature	NOUN
esrj-75821	505	2	communications	communication	NOUN
esrj-75821	505	3	,	,	PUNCT
esrj-75821	505	4	11	11	NUM
esrj-75821	505	5	,	,	PUNCT
esrj-75821	505	6	3710	3710	NUM
esrj-75821	505	7	.	.	PUNCT
esrj-75821	506	1	https://doi.org/10.1038/s41467020-17581-y	https://doi.org/10.1038/s41467020-17581-y	PROPN
esrj-75821	506	2	xie	xie	PROPN
esrj-75821	506	3	,	,	PUNCT
esrj-75821	506	4	h.	h.	PROPN
esrj-75821	506	5	,	,	PUNCT
esrj-75821	506	6	zhang	zhang	PROPN
esrj-75821	506	7	,	,	PUNCT
esrj-75821	506	8	y.	y.	PROPN
esrj-75821	506	9	,	,	PUNCT
esrj-75821	506	10	wu	wu	PROPN
esrj-75821	506	11	,	,	PUNCT
esrj-75821	506	12	z.	z.	PROPN
esrj-75821	506	13	,	,	PUNCT
esrj-75821	506	14	&	&	CCONJ
esrj-75821	506	15	lv	lv	PROPN
esrj-75821	506	16	,	,	PUNCT
esrj-75821	506	17	t.	t.	PROPN
esrj-75821	506	18	(	(	PUNCT
esrj-75821	506	19	2020	2020	NUM
esrj-75821	506	20	)	)	PUNCT
esrj-75821	506	21	.	.	PUNCT
esrj-75821	507	1	a	a	DET
esrj-75821	507	2	bibliometric	bibliometric	ADJ
esrj-75821	507	3	analysis	analysis	NOUN
esrj-75821	507	4	on	on	ADP
esrj-75821	507	5	land	land	NOUN
esrj-75821	507	6	degradation	degradation	NOUN
esrj-75821	507	7	:	:	PUNCT
esrj-75821	507	8	current	current	ADJ
esrj-75821	507	9	status	status	NOUN
esrj-75821	507	10	,	,	PUNCT
esrj-75821	507	11	development	development	NOUN
esrj-75821	507	12	,	,	PUNCT
esrj-75821	507	13	and	and	CCONJ
esrj-75821	507	14	future	future	ADJ
esrj-75821	507	15	directions	direction	NOUN
esrj-75821	507	16	.	.	PUNCT
esrj-75821	508	1	land	land	NOUN
esrj-75821	508	2	,	,	PUNCT
esrj-75821	508	3	9(1	9(1	NUM
esrj-75821	508	4	)	)	PUNCT
esrj-75821	508	5	,	,	PUNCT
esrj-75821	508	6	28	28	NUM
esrj-75821	508	7	.	.	PUNCT
esrj-75821	509	1	https://doi.org/10.3390/land9010028	https://doi.org/10.3390/land9010028	PROPN
esrj-75821	509	2	yaghobi	yaghobi	PROPN
esrj-75821	509	3	,	,	PUNCT
esrj-75821	509	4	a.	a.	NOUN
esrj-75821	509	5	,	,	PUNCT
esrj-75821	509	6	khalilimoghadam	khalilimoghadam	NOUN
esrj-75821	509	7	,	,	PUNCT
esrj-75821	509	8	b.	b.	PROPN
esrj-75821	509	9	,	,	PUNCT
esrj-75821	509	10	saedi	saedi	PROPN
esrj-75821	509	11	,	,	PUNCT
esrj-75821	509	12	t.	t.	PROPN
esrj-75821	509	13	,	,	PUNCT
esrj-75821	509	14	&	&	CCONJ
esrj-75821	509	15	rahnama	rahnama	NOUN
esrj-75821	509	16	,	,	PUNCT
esrj-75821	509	17	m.	m.	NOUN
esrj-75821	509	18	(	(	PUNCT
esrj-75821	509	19	2018	2018	NUM
esrj-75821	509	20	)	)	PUNCT
esrj-75821	509	21	.	.	PUNCT
esrj-75821	510	1	the	the	DET
esrj-75821	510	2	effect	effect	NOUN
esrj-75821	510	3	of	of	ADP
esrj-75821	510	4	exclosure	exclosure	NOUN
esrj-75821	510	5	management	management	NOUN
esrj-75821	510	6	on	on	ADP
esrj-75821	510	7	the	the	DET
esrj-75821	510	8	reduction	reduction	NOUN
esrj-75821	510	9	of	of	ADP
esrj-75821	510	10	soc	soc	NOUN
esrj-75821	510	11	loss	loss	NOUN
esrj-75821	510	12	due	due	ADJ
esrj-75821	510	13	to	to	PART
esrj-75821	510	14	splash	splash	VERB
esrj-75821	510	15	erosion	erosion	NOUN
esrj-75821	510	16	in	in	ADP
esrj-75821	510	17	gypsiferous	gypsiferous	ADJ
esrj-75821	510	18	soils	soil	NOUN
esrj-75821	510	19	in	in	ADP
esrj-75821	510	20	southwestern	southwestern	ADJ
esrj-75821	510	21	iran	iran	PROPN
esrj-75821	510	22	.	.	PUNCT
esrj-75821	511	1	geoderma	geoderma	PROPN
esrj-75821	511	2	,	,	PUNCT
esrj-75821	511	3	319	319	NUM
esrj-75821	511	4	,	,	PUNCT
esrj-75821	511	5	34–42	34–42	NUM
esrj-75821	511	6	.	.	PUNCT
esrj-75821	512	1	https://doi.org/10.1016/j.geoderma.2017.12.037	https://doi.org/10.1016/j.geoderma.2017.12.037	PROPN
esrj-75821	512	2	yesilnacar	yesilnacar	NOUN
esrj-75821	512	3	,	,	PUNCT
esrj-75821	512	4	m.	m.	NOUN
esrj-75821	512	5	i.	i.	PROPN
esrj-75821	512	6	,	,	PUNCT
esrj-75821	512	7	&	&	CCONJ
esrj-75821	512	8	sahinkaya	sahinkaya	PROPN
esrj-75821	512	9	,	,	PUNCT
esrj-75821	512	10	e.	e.	PROPN
esrj-75821	512	11	(	(	PUNCT
esrj-75821	512	12	2012	2012	NUM
esrj-75821	512	13	)	)	PUNCT
esrj-75821	512	14	.	.	PUNCT
esrj-75821	513	1	artificial	artificial	ADJ
esrj-75821	513	2	neural	neural	ADJ
esrj-75821	513	3	network	network	NOUN
esrj-75821	513	4	prediction	prediction	NOUN
esrj-75821	513	5	of	of	ADP
esrj-75821	513	6	sulfate	sulfate	NOUN
esrj-75821	513	7	and	and	CCONJ
esrj-75821	513	8	sar	sar	NOUN
esrj-75821	513	9	in	in	ADP
esrj-75821	513	10	an	an	DET
esrj-75821	513	11	unconfined	unconfined	ADJ
esrj-75821	513	12	aquifer	aquifer	NOUN
esrj-75821	513	13	in	in	ADP
esrj-75821	513	14	southeastern	southeastern	ADJ
esrj-75821	513	15	turkey	turkey	NOUN
esrj-75821	513	16	.	.	PUNCT
esrj-75821	514	1	environmental	environmental	ADJ
esrj-75821	514	2	earth	earth	PROPN
esrj-75821	514	3	sciences	sciences	PROPN
esrj-75821	514	4	,	,	PUNCT
esrj-75821	514	5	67(4	67(4	NUM
esrj-75821	514	6	)	)	PUNCT
esrj-75821	514	7	.	.	PUNCT
esrj-75821	515	1	doi	doi	NOUN
esrj-75821	515	2	:	:	PUNCT
esrj-75821	515	3	10.1007	10.1007	NUM
esrj-75821	515	4	/	/	SYM
esrj-75821	515	5	s12665	s12665	NOUN
esrj-75821	515	6	-	-	PUNCT
esrj-75821	515	7	0121555	0121555	NUM
esrj-75821	515	8	-	-	SYM
esrj-75821	515	9	9	9	NUM
esrj-75821	515	10	zehtabian	zehtabian	NOUN
esrj-75821	515	11	,	,	PUNCT
esrj-75821	515	12	g.	g.	PROPN
esrj-75821	515	13	,	,	PUNCT
esrj-75821	515	14	&	&	CCONJ
esrj-75821	515	15	jafari	jafari	PROPN
esrj-75821	515	16	,	,	PUNCT
esrj-75821	515	17	r.	r.	PROPN
esrj-75821	515	18	(	(	PUNCT
esrj-75821	515	19	2002	2002	NUM
esrj-75821	515	20	)	)	PUNCT
esrj-75821	515	21	.	.	PUNCT
esrj-75821	516	1	evaluation	evaluation	NOUN
esrj-75821	516	2	of	of	ADP
esrj-75821	516	3	water	water	NOUN
esrj-75821	516	4	resources	resource	NOUN
esrj-75821	516	5	degradation	degradation	NOUN
esrj-75821	516	6	in	in	ADP
esrj-75821	516	7	kashan	kashan	PROPN
esrj-75821	516	8	area	area	NOUN
esrj-75821	516	9	using	use	VERB
esrj-75821	516	10	desertification	desertification	NOUN
esrj-75821	516	11	model	model	NOUN
esrj-75821	516	12	.	.	PUNCT
esrj-75821	517	1	journal	journal	PROPN
esrj-75821	517	2	of	of	ADP
esrj-75821	517	3	environmental	environmental	ADJ
esrj-75821	517	4	studies	study	NOUN
esrj-75821	517	5	,	,	PUNCT
esrj-75821	517	6	28	28	NUM
esrj-75821	517	7	,	,	PUNCT
esrj-75821	517	8	19–30	19–30	NUM
esrj-75821	517	9	.	.	PUNCT
esrj-75821	518	1	https://doi.org/10.1038/s41467-020-17581-y	https://doi.org/10.1038/s41467-020-17581-y	PROPN
esrj-75821	518	2	https://doi.org/10.1038/s41467-020-17581-y	https://doi.org/10.1038/s41467-020-17581-y	PROPN
esrj-75821	518	3	https://doi.org/10.3390/land9010028	https://doi.org/10.3390/land9010028	PROPN
esrj-75821	518	4	https://doi.org/10.1016/j.geoderma.2017.12.037	https://doi.org/10.1016/j.geoderma.2017.12.037	PROPN