id	sid	tid	token	lemma	pos
ajst-30223	1	1	academic	academic	ADJ
ajst-30223	1	2	journal	journal	NOUN
ajst-30223	1	3	of	of	ADP
ajst-30223	1	4	science	science	NOUN
ajst-30223	1	5	and	and	CCONJ
ajst-30223	1	6	technology	technology	NOUN
ajst-30223	1	7	issn	issn	NOUN
ajst-30223	1	8	:	:	PUNCT
ajst-30223	1	9	2771	2771	NUM
ajst-30223	1	10	-	-	SYM
ajst-30223	1	11	3032	3032	NUM
ajst-30223	1	12	|	|	NOUN
ajst-30223	1	13	vol	vol	NOUN
ajst-30223	1	14	.	.	PUNCT
ajst-30223	2	1	14	14	NUM
ajst-30223	2	2	,	,	PUNCT
ajst-30223	2	3	no	no	INTJ
ajst-30223	2	4	.	.	NOUN
ajst-30223	2	5	3	3	NUM
ajst-30223	2	6	,	,	PUNCT
ajst-30223	2	7	2025	2025	NUM
ajst-30223	2	8	295	295	NUM
ajst-30223	2	9	prediction	prediction	NOUN
ajst-30223	2	10	of	of	ADP
ajst-30223	2	11	mine	mine	ADJ
ajst-30223	2	12	water	water	NOUN
ajst-30223	2	13	inflow	inflow	NOUN
ajst-30223	2	14	based	base	VERB
ajst-30223	2	15	on	on	ADP
ajst-30223	2	16	growth	growth	NOUN
ajst-30223	2	17	curve	curve	NOUN
ajst-30223	2	18	model	model	PROPN
ajst-30223	2	19	shang	shang	PROPN
ajst-30223	2	20	wang1	wang1	PROPN
ajst-30223	2	21	,	,	PUNCT
ajst-30223	2	22	qingge	qingge	PROPN
ajst-30223	2	23	zhang2	zhang2	PROPN
ajst-30223	2	24	,	,	PUNCT
ajst-30223	2	25	shiyuan	shiyuan	PROPN
ajst-30223	2	26	tian1	tian1	PROPN
ajst-30223	2	27	,	,	PUNCT
ajst-30223	2	28	*	*	PUNCT
ajst-30223	3	1	1school	1school	NUM
ajst-30223	3	2	of	of	ADP
ajst-30223	3	3	resources	resource	NOUN
ajst-30223	3	4	and	and	CCONJ
ajst-30223	3	5	environment	environment	NOUN
ajst-30223	3	6	,	,	PUNCT
ajst-30223	3	7	henan	henan	PROPN
ajst-30223	3	8	polytechnic	polytechnic	PROPN
ajst-30223	3	9	university	university	PROPN
ajst-30223	3	10	,	,	PUNCT
ajst-30223	3	11	jiaozuo	jiaozuo	PROPN
ajst-30223	3	12	,	,	PUNCT
ajst-30223	3	13	henan	henan	PROPN
ajst-30223	3	14	,	,	PUNCT
ajst-30223	3	15	china	china	PROPN
ajst-30223	3	16	2faculty	2faculty	NUM
ajst-30223	3	17	of	of	ADP
ajst-30223	3	18	land	land	NOUN
ajst-30223	3	19	resources	resource	NOUN
ajst-30223	3	20	engineering	engineering	PROPN
ajst-30223	3	21	,	,	PUNCT
ajst-30223	3	22	kunming	kunming	PROPN
ajst-30223	3	23	university	university	PROPN
ajst-30223	3	24	of	of	ADP
ajst-30223	3	25	science	science	NOUN
ajst-30223	3	26	and	and	CCONJ
ajst-30223	3	27	technology	technology	NOUN
ajst-30223	3	28	,	,	PUNCT
ajst-30223	3	29	kunming	kunming	PROPN
ajst-30223	3	30	,	,	PUNCT
ajst-30223	3	31	yunnan	yunnan	PROPN
ajst-30223	3	32	,	,	PUNCT
ajst-30223	3	33	china	china	PROPN
ajst-30223	3	34	*	*	PUNCT
ajst-30223	3	35	corresponding	correspond	VERB
ajst-30223	3	36	author	author	NOUN
ajst-30223	3	37	:	:	PUNCT
ajst-30223	3	38	shiyuan	shiyuan	PROPN
ajst-30223	3	39	tian	tian	ADJ
ajst-30223	3	40	abstract	abstract	NOUN
ajst-30223	3	41	:	:	PUNCT
ajst-30223	3	42	during	during	ADP
ajst-30223	3	43	the	the	DET
ajst-30223	3	44	construction	construction	NOUN
ajst-30223	3	45	and	and	CCONJ
ajst-30223	3	46	operation	operation	NOUN
ajst-30223	3	47	of	of	ADP
ajst-30223	3	48	a	a	DET
ajst-30223	3	49	coal	coal	NOUN
ajst-30223	3	50	mine	mine	NOUN
ajst-30223	3	51	,	,	PUNCT
ajst-30223	3	52	water	water	NOUN
ajst-30223	3	53	inrush	inrush	NOUN
ajst-30223	3	54	incidents	incident	NOUN
ajst-30223	3	55	frequently	frequently	ADV
ajst-30223	3	56	occur	occur	VERB
ajst-30223	3	57	.	.	PUNCT
ajst-30223	4	1	minor	minor	ADJ
ajst-30223	4	2	water	water	NOUN
ajst-30223	4	3	-	-	PUNCT
ajst-30223	4	4	related	relate	VERB
ajst-30223	4	5	accidents	accident	NOUN
ajst-30223	4	6	can	can	AUX
ajst-30223	4	7	cause	cause	VERB
ajst-30223	4	8	delays	delay	NOUN
ajst-30223	4	9	in	in	ADP
ajst-30223	4	10	mining	mining	NOUN
ajst-30223	4	11	operations	operation	NOUN
ajst-30223	4	12	,	,	PUNCT
ajst-30223	4	13	while	while	SCONJ
ajst-30223	4	14	major	major	ADJ
ajst-30223	4	15	incidents	incident	NOUN
ajst-30223	4	16	can	can	AUX
ajst-30223	4	17	result	result	VERB
ajst-30223	4	18	in	in	ADP
ajst-30223	4	19	significant	significant	ADJ
ajst-30223	4	20	losses	loss	NOUN
ajst-30223	4	21	and	and	CCONJ
ajst-30223	4	22	casualties	casualty	NOUN
ajst-30223	4	23	.	.	PUNCT
ajst-30223	5	1	this	this	DET
ajst-30223	5	2	paper	paper	NOUN
ajst-30223	5	3	takes	take	VERB
ajst-30223	5	4	a	a	DET
ajst-30223	5	5	coal	coal	NOUN
ajst-30223	5	6	mine	mine	NOUN
ajst-30223	5	7	in	in	ADP
ajst-30223	5	8	shanxi	shanxi	PROPN
ajst-30223	5	9	as	as	ADP
ajst-30223	5	10	a	a	DET
ajst-30223	5	11	case	case	NOUN
ajst-30223	5	12	study	study	NOUN
ajst-30223	5	13	,	,	PUNCT
ajst-30223	5	14	employing	employ	VERB
ajst-30223	5	15	growth	growth	NOUN
ajst-30223	5	16	curve	curve	NOUN
ajst-30223	5	17	models	model	NOUN
ajst-30223	5	18	and	and	CCONJ
ajst-30223	5	19	optimal	optimal	ADJ
ajst-30223	5	20	weighted	weight	VERB
ajst-30223	5	21	coefficient	coefficient	NOUN
ajst-30223	5	22	models	model	NOUN
ajst-30223	5	23	to	to	PART
ajst-30223	5	24	predict	predict	VERB
ajst-30223	5	25	the	the	DET
ajst-30223	5	26	mine	mine	NOUN
ajst-30223	5	27	's	's	PART
ajst-30223	5	28	water	water	NOUN
ajst-30223	5	29	inflow	inflow	NOUN
ajst-30223	5	30	over	over	ADP
ajst-30223	5	31	the	the	DET
ajst-30223	5	32	next	next	ADJ
ajst-30223	5	33	five	five	NUM
ajst-30223	5	34	years	year	NOUN
ajst-30223	5	35	.	.	PUNCT
ajst-30223	6	1	the	the	DET
ajst-30223	6	2	predicted	predict	VERB
ajst-30223	6	3	water	water	NOUN
ajst-30223	6	4	inflow	inflow	NOUN
ajst-30223	6	5	for	for	ADP
ajst-30223	6	6	the	the	DET
ajst-30223	6	7	no	no	NOUN
ajst-30223	6	8	.	.	NOUN
ajst-30223	6	9	4	4	NUM
ajst-30223	6	10	coal	coal	NOUN
ajst-30223	6	11	seam	seam	NOUN
ajst-30223	6	12	,	,	PUNCT
ajst-30223	6	13	when	when	SCONJ
ajst-30223	6	14	mining	mine	VERB
ajst-30223	6	15	in	in	ADP
ajst-30223	6	16	a	a	DET
ajst-30223	6	17	single	single	ADJ
ajst-30223	6	18	area	area	NOUN
ajst-30223	6	19	,	,	PUNCT
ajst-30223	6	20	is	be	AUX
ajst-30223	6	21	534.07	534.07	NUM
ajst-30223	6	22	m3	m3	PROPN
ajst-30223	6	23	/	/	SYM
ajst-30223	6	24	h	h	NOUN
ajst-30223	6	25	,	,	PUNCT
ajst-30223	6	26	with	with	ADP
ajst-30223	6	27	a	a	DET
ajst-30223	6	28	maximum	maximum	ADJ
ajst-30223	6	29	inflow	inflow	NOUN
ajst-30223	6	30	of	of	ADP
ajst-30223	6	31	approximately	approximately	ADV
ajst-30223	6	32	694.29	694.29	NUM
ajst-30223	6	33	m3	m3	PROPN
ajst-30223	6	34	/	/	SYM
ajst-30223	6	35	h.	h.	NOUN
ajst-30223	6	36	using	use	VERB
ajst-30223	6	37	the	the	DET
ajst-30223	6	38	analytical	analytical	ADJ
ajst-30223	6	39	method	method	NOUN
ajst-30223	6	40	's	's	PART
ajst-30223	6	41	prediction	prediction	NOUN
ajst-30223	6	42	results	result	NOUN
ajst-30223	6	43	as	as	ADP
ajst-30223	6	44	a	a	DET
ajst-30223	6	45	reference	reference	NOUN
ajst-30223	6	46	,	,	PUNCT
ajst-30223	6	47	future	future	ADJ
ajst-30223	6	48	scenarios	scenario	NOUN
ajst-30223	6	49	are	be	AUX
ajst-30223	6	50	forecasted	forecast	VERB
ajst-30223	6	51	through	through	ADP
ajst-30223	6	52	the	the	DET
ajst-30223	6	53	growth	growth	NOUN
ajst-30223	6	54	curve	curve	NOUN
ajst-30223	6	55	model	model	NOUN
ajst-30223	6	56	approach	approach	NOUN
ajst-30223	6	57	.	.	PUNCT
ajst-30223	7	1	analysis	analysis	NOUN
ajst-30223	7	2	of	of	ADP
ajst-30223	7	3	the	the	DET
ajst-30223	7	4	prediction	prediction	NOUN
ajst-30223	7	5	accuracy	accuracy	NOUN
ajst-30223	7	6	reveals	reveal	VERB
ajst-30223	7	7	that	that	SCONJ
ajst-30223	7	8	the	the	DET
ajst-30223	7	9	optimal	optimal	ADJ
ajst-30223	7	10	coefficient	coefficient	NOUN
ajst-30223	7	11	combination	combination	NOUN
ajst-30223	7	12	model	model	NOUN
ajst-30223	7	13	,	,	PUNCT
ajst-30223	7	14	established	establish	VERB
ajst-30223	7	15	using	use	VERB
ajst-30223	7	16	three	three	NUM
ajst-30223	7	17	growth	growth	NOUN
ajst-30223	7	18	curve	curve	NOUN
ajst-30223	7	19	models	model	NOUN
ajst-30223	7	20	,	,	PUNCT
ajst-30223	7	21	has	have	VERB
ajst-30223	7	22	the	the	DET
ajst-30223	7	23	highest	high	ADJ
ajst-30223	7	24	accuracy	accuracy	NOUN
ajst-30223	7	25	at	at	ADP
ajst-30223	7	26	91.52	91.52	NUM
ajst-30223	7	27	%	%	NOUN
ajst-30223	7	28	.	.	PUNCT
ajst-30223	8	1	the	the	DET
ajst-30223	8	2	findings	finding	NOUN
ajst-30223	8	3	of	of	ADP
ajst-30223	8	4	this	this	DET
ajst-30223	8	5	study	study	NOUN
ajst-30223	8	6	provide	provide	VERB
ajst-30223	8	7	valuable	valuable	ADJ
ajst-30223	8	8	insights	insight	NOUN
ajst-30223	8	9	for	for	ADP
ajst-30223	8	10	future	future	ADJ
ajst-30223	8	11	water	water	NOUN
ajst-30223	8	12	management	management	NOUN
ajst-30223	8	13	in	in	ADP
ajst-30223	8	14	coal	coal	NOUN
ajst-30223	8	15	mining	mining	NOUN
ajst-30223	8	16	operations	operation	NOUN
ajst-30223	8	17	.	.	PUNCT
ajst-30223	9	1	keywords	keyword	NOUN
ajst-30223	9	2	:	:	PUNCT
ajst-30223	9	3	mine	mine	NOUN
ajst-30223	9	4	water	water	NOUN
ajst-30223	9	5	inflow	inflow	NOUN
ajst-30223	9	6	;	;	PUNCT
ajst-30223	9	7	growth	growth	NOUN
ajst-30223	9	8	curve	curve	NOUN
ajst-30223	9	9	model	model	NOUN
ajst-30223	9	10	;	;	PUNCT
ajst-30223	9	11	optimal	optimal	ADJ
ajst-30223	9	12	weights	weight	NOUN
ajst-30223	9	13	.	.	PUNCT
ajst-30223	10	1	1	1	X
ajst-30223	10	2	.	.	X
ajst-30223	10	3	introduction	introduction	NOUN
ajst-30223	10	4	during	during	ADP
ajst-30223	10	5	normal	normal	ADJ
ajst-30223	10	6	coal	coal	NOUN
ajst-30223	10	7	mining	mining	NOUN
ajst-30223	10	8	operations	operation	NOUN
ajst-30223	10	9	,	,	PUNCT
ajst-30223	10	10	inrush	inrush	NOUN
ajst-30223	10	11	water	water	NOUN
ajst-30223	10	12	can	can	AUX
ajst-30223	10	13	pose	pose	VERB
ajst-30223	10	14	threats	threat	NOUN
ajst-30223	10	15	not	not	PART
ajst-30223	10	16	only	only	ADV
ajst-30223	10	17	to	to	ADP
ajst-30223	10	18	the	the	DET
ajst-30223	10	19	safety	safety	NOUN
ajst-30223	10	20	of	of	ADP
ajst-30223	10	21	the	the	DET
ajst-30223	10	22	mining	mining	NOUN
ajst-30223	10	23	site	site	NOUN
ajst-30223	10	24	and	and	CCONJ
ajst-30223	10	25	workers	worker	NOUN
ajst-30223	10	26	but	but	CCONJ
ajst-30223	10	27	also	also	ADV
ajst-30223	10	28	to	to	ADP
ajst-30223	10	29	the	the	DET
ajst-30223	10	30	surrounding	surround	VERB
ajst-30223	10	31	environment	environment	NOUN
ajst-30223	10	32	,	,	PUNCT
ajst-30223	10	33	leading	lead	VERB
ajst-30223	10	34	to	to	ADP
ajst-30223	10	35	severe	severe	ADJ
ajst-30223	10	36	and	and	CCONJ
ajst-30223	10	37	irreversible	irreversible	ADJ
ajst-30223	10	38	ecological	ecological	ADJ
ajst-30223	10	39	damage[1],[2	damage[1],[2	PROPN
ajst-30223	10	40	]	]	PUNCT
ajst-30223	10	41	.	.	PUNCT
ajst-30223	11	1	therefore	therefore	ADV
ajst-30223	11	2	,	,	PUNCT
ajst-30223	11	3	accurately	accurately	ADV
ajst-30223	11	4	predicting	predict	VERB
ajst-30223	11	5	the	the	DET
ajst-30223	11	6	water	water	NOUN
ajst-30223	11	7	inflow	inflow	NOUN
ajst-30223	11	8	in	in	ADP
ajst-30223	11	9	a	a	DET
ajst-30223	11	10	coal	coal	NOUN
ajst-30223	11	11	mine	mine	NOUN
ajst-30223	11	12	during	during	ADP
ajst-30223	11	13	future	future	ADJ
ajst-30223	11	14	extraction	extraction	NOUN
ajst-30223	11	15	activities	activity	NOUN
ajst-30223	11	16	is	be	AUX
ajst-30223	11	17	crucial	crucial	ADJ
ajst-30223	11	18	for	for	ADP
ajst-30223	11	19	providing	provide	VERB
ajst-30223	11	20	a	a	DET
ajst-30223	11	21	scientific	scientific	ADJ
ajst-30223	11	22	basis	basis	NOUN
ajst-30223	11	23	to	to	PART
ajst-30223	11	24	protect	protect	VERB
ajst-30223	11	25	water	water	NOUN
ajst-30223	11	26	resources	resource	NOUN
ajst-30223	11	27	and	and	CCONJ
ajst-30223	11	28	quality	quality	NOUN
ajst-30223	11	29	in	in	ADP
ajst-30223	11	30	mining	mining	NOUN
ajst-30223	11	31	areas[3	areas[3	PROPN
ajst-30223	11	32	]	]	PUNCT
ajst-30223	11	33	.	.	PUNCT
ajst-30223	12	1	the	the	DET
ajst-30223	12	2	principle	principle	NOUN
ajst-30223	12	3	of	of	ADP
ajst-30223	12	4	the	the	DET
ajst-30223	12	5	growth	growth	NOUN
ajst-30223	12	6	curve	curve	NOUN
ajst-30223	12	7	model	model	NOUN
ajst-30223	12	8	method	method	NOUN
ajst-30223	12	9	relies	rely	VERB
ajst-30223	12	10	on	on	ADP
ajst-30223	12	11	certain	certain	ADJ
ajst-30223	12	12	mathematical	mathematical	ADJ
ajst-30223	12	13	growth	growth	NOUN
ajst-30223	12	14	curves	curve	NOUN
ajst-30223	12	15	.	.	PUNCT
ajst-30223	13	1	it	it	PRON
ajst-30223	13	2	begins	begin	VERB
ajst-30223	13	3	by	by	ADP
ajst-30223	13	4	analyzing	analyze	VERB
ajst-30223	13	5	the	the	DET
ajst-30223	13	6	data	datum	NOUN
ajst-30223	13	7	and	and	CCONJ
ajst-30223	13	8	general	general	ADJ
ajst-30223	13	9	trends	trend	NOUN
ajst-30223	13	10	of	of	ADP
ajst-30223	13	11	water	water	NOUN
ajst-30223	13	12	inflow	inflow	NOUN
ajst-30223	13	13	,	,	PUNCT
ajst-30223	13	14	followed	follow	VERB
ajst-30223	13	15	by	by	ADP
ajst-30223	13	16	the	the	DET
ajst-30223	13	17	identification	identification	NOUN
ajst-30223	13	18	of	of	ADP
ajst-30223	13	19	an	an	DET
ajst-30223	13	20	appropriate	appropriate	ADJ
ajst-30223	13	21	curve	curve	NOUN
ajst-30223	13	22	model	model	NOUN
ajst-30223	13	23	.	.	PUNCT
ajst-30223	14	1	by	by	ADP
ajst-30223	14	2	substituting	substitute	VERB
ajst-30223	14	3	known	know	VERB
ajst-30223	14	4	data	datum	NOUN
ajst-30223	14	5	into	into	ADP
ajst-30223	14	6	the	the	DET
ajst-30223	14	7	model	model	NOUN
ajst-30223	14	8	to	to	PART
ajst-30223	14	9	solve	solve	VERB
ajst-30223	14	10	for	for	ADP
ajst-30223	14	11	parameters	parameter	NOUN
ajst-30223	14	12	,	,	PUNCT
ajst-30223	14	13	the	the	DET
ajst-30223	14	14	equation	equation	NOUN
ajst-30223	14	15	can	can	AUX
ajst-30223	14	16	be	be	AUX
ajst-30223	14	17	determined	determine	VERB
ajst-30223	14	18	,	,	PUNCT
ajst-30223	14	19	and	and	CCONJ
ajst-30223	14	20	predictions	prediction	NOUN
ajst-30223	14	21	can	can	AUX
ajst-30223	14	22	be	be	AUX
ajst-30223	14	23	made	make	VERB
ajst-30223	14	24	for	for	ADP
ajst-30223	14	25	the	the	DET
ajst-30223	14	26	desired	desire	VERB
ajst-30223	14	27	time	time	NOUN
ajst-30223	14	28	frame	frame	NOUN
ajst-30223	14	29	.	.	PUNCT
ajst-30223	15	1	this	this	DET
ajst-30223	15	2	method	method	NOUN
ajst-30223	15	3	is	be	AUX
ajst-30223	15	4	particularly	particularly	ADV
ajst-30223	15	5	accurate	accurate	ADJ
ajst-30223	15	6	for	for	ADP
ajst-30223	15	7	predicting	predict	VERB
ajst-30223	15	8	future	future	ADJ
ajst-30223	15	9	water	water	NOUN
ajst-30223	15	10	inflow	inflow	NOUN
ajst-30223	15	11	in	in	ADP
ajst-30223	15	12	mines	mine	NOUN
ajst-30223	15	13	that	that	PRON
ajst-30223	15	14	have	have	AUX
ajst-30223	15	15	been	be	AUX
ajst-30223	15	16	operational	operational	ADJ
ajst-30223	15	17	for	for	ADP
ajst-30223	15	18	many	many	ADJ
ajst-30223	15	19	years	year	NOUN
ajst-30223	15	20	.	.	PUNCT
ajst-30223	16	1	previous	previous	ADJ
ajst-30223	16	2	studies	study	NOUN
ajst-30223	16	3	,	,	PUNCT
ajst-30223	16	4	such	such	ADJ
ajst-30223	16	5	as	as	ADP
ajst-30223	16	6	those	those	PRON
ajst-30223	16	7	by	by	ADP
ajst-30223	16	8	peng	peng	PROPN
ajst-30223	16	9	erlei[4	erlei[4	PROPN
ajst-30223	16	10	]	]	PUNCT
ajst-30223	16	11	,	,	PUNCT
ajst-30223	16	12	have	have	AUX
ajst-30223	16	13	successfully	successfully	ADV
ajst-30223	16	14	utilized	utilize	VERB
ajst-30223	16	15	this	this	DET
ajst-30223	16	16	method	method	NOUN
ajst-30223	16	17	,	,	PUNCT
ajst-30223	16	18	combining	combine	VERB
ajst-30223	16	19	it	it	PRON
ajst-30223	16	20	with	with	ADP
ajst-30223	16	21	a	a	DET
ajst-30223	16	22	composite	composite	ADJ
ajst-30223	16	23	model	model	NOUN
ajst-30223	16	24	to	to	PART
ajst-30223	16	25	predict	predict	VERB
ajst-30223	16	26	water	water	NOUN
ajst-30223	16	27	inflow	inflow	NOUN
ajst-30223	16	28	in	in	ADP
ajst-30223	16	29	the	the	DET
ajst-30223	16	30	zhongtai	zhongtai	NOUN
ajst-30223	16	31	coal	coal	NOUN
ajst-30223	16	32	mine	mine	NOUN
ajst-30223	16	33	.	.	PUNCT
ajst-30223	17	1	in	in	ADP
ajst-30223	17	2	this	this	DET
ajst-30223	17	3	paper	paper	NOUN
ajst-30223	17	4	,	,	PUNCT
ajst-30223	17	5	the	the	DET
ajst-30223	17	6	growth	growth	NOUN
ajst-30223	17	7	curve	curve	NOUN
ajst-30223	17	8	models	model	NOUN
ajst-30223	17	9	,	,	PUNCT
ajst-30223	17	10	including	include	VERB
ajst-30223	17	11	the	the	DET
ajst-30223	17	12	logistic	logistic	ADJ
ajst-30223	17	13	model	model	NOUN
ajst-30223	17	14	,	,	PUNCT
ajst-30223	17	15	gompertz	gompertz	NOUN
ajst-30223	17	16	model	model	NOUN
ajst-30223	17	17	,	,	PUNCT
ajst-30223	17	18	and	and	CCONJ
ajst-30223	17	19	modified	modify	VERB
ajst-30223	17	20	exponential	exponential	ADJ
ajst-30223	17	21	model	model	NOUN
ajst-30223	17	22	,	,	PUNCT
ajst-30223	17	23	are	be	AUX
ajst-30223	17	24	applied	apply	VERB
ajst-30223	17	25	to	to	PART
ajst-30223	17	26	predict	predict	VERB
ajst-30223	17	27	the	the	DET
ajst-30223	17	28	water	water	NOUN
ajst-30223	17	29	inflow	inflow	NOUN
ajst-30223	17	30	in	in	ADP
ajst-30223	17	31	the	the	DET
ajst-30223	17	32	mining	mining	NOUN
ajst-30223	17	33	area	area	NOUN
ajst-30223	17	34	.	.	PUNCT
ajst-30223	18	1	a	a	DET
ajst-30223	18	2	comparison	comparison	NOUN
ajst-30223	18	3	of	of	ADP
ajst-30223	18	4	the	the	DET
ajst-30223	18	5	prediction	prediction	NOUN
ajst-30223	18	6	accuracies	accuracy	NOUN
ajst-30223	18	7	of	of	ADP
ajst-30223	18	8	the	the	DET
ajst-30223	18	9	four	four	NUM
ajst-30223	18	10	models	model	NOUN
ajst-30223	18	11	is	be	AUX
ajst-30223	18	12	conducted	conduct	VERB
ajst-30223	18	13	,	,	PUNCT
ajst-30223	18	14	establishing	establish	VERB
ajst-30223	18	15	a	a	DET
ajst-30223	18	16	weighted	weight	VERB
ajst-30223	18	17	coefficient	coefficient	NOUN
ajst-30223	18	18	model	model	NOUN
ajst-30223	18	19	based	base	VERB
ajst-30223	18	20	on	on	ADP
ajst-30223	18	21	the	the	DET
ajst-30223	18	22	three	three	NUM
ajst-30223	18	23	growth	growth	NOUN
ajst-30223	18	24	curves	curve	NOUN
ajst-30223	18	25	.	.	PUNCT
ajst-30223	19	1	2	2	X
ajst-30223	19	2	.	.	X
ajst-30223	19	3	hydrogeological	hydrogeological	ADJ
ajst-30223	19	4	overview	overview	NOUN
ajst-30223	19	5	of	of	ADP
ajst-30223	19	6	the	the	DET
ajst-30223	19	7	mine	mine	ADJ
ajst-30223	19	8	2.1	2.1	NUM
ajst-30223	19	9	.	.	PUNCT
ajst-30223	20	1	hydrogeological	hydrogeological	ADJ
ajst-30223	20	2	conditions	condition	NOUN
ajst-30223	20	3	based	base	VERB
ajst-30223	20	4	on	on	ADP
ajst-30223	20	5	the	the	DET
ajst-30223	20	6	analysis	analysis	NOUN
ajst-30223	20	7	of	of	ADP
ajst-30223	20	8	mine	mine	ADJ
ajst-30223	20	9	data	datum	NOUN
ajst-30223	20	10	,	,	PUNCT
ajst-30223	20	11	the	the	DET
ajst-30223	20	12	underground	underground	ADJ
ajst-30223	20	13	water	water	NOUN
ajst-30223	20	14	system	system	NOUN
ajst-30223	20	15	in	in	ADP
ajst-30223	20	16	the	the	DET
ajst-30223	20	17	mining	mining	NOUN
ajst-30223	20	18	area	area	NOUN
ajst-30223	20	19	can	can	AUX
ajst-30223	20	20	be	be	AUX
ajst-30223	20	21	divided	divide	VERB
ajst-30223	20	22	into	into	ADP
ajst-30223	20	23	three	three	NUM
ajst-30223	20	24	distinct	distinct	ADJ
ajst-30223	20	25	groundwater	groundwater	NOUN
ajst-30223	20	26	systems	system	NOUN
ajst-30223	20	27	:	:	PUNCT
ajst-30223	20	28	the	the	DET
ajst-30223	20	29	cambrian	cambrian	ADJ
ajst-30223	20	30	-	-	PUNCT
ajst-30223	20	31	ordovician	ordovician	ADJ
ajst-30223	20	32	carbonate	carbonate	NOUN
ajst-30223	20	33	rock	rock	NOUN
ajst-30223	20	34	karst	karst	PROPN
ajst-30223	20	35	fracture	fracture	PROPN
ajst-30223	20	36	aquifer	aquifer	NOUN
ajst-30223	20	37	,	,	PUNCT
ajst-30223	20	38	the	the	DET
ajst-30223	20	39	carboniferous	carboniferous	ADJ
ajst-30223	20	40	-	-	PUNCT
ajst-30223	20	41	permian	permian	PROPN
ajst-30223	20	42	clastic	clastic	PROPN
ajst-30223	20	43	rock	rock	NOUN
ajst-30223	20	44	fracture	fracture	NOUN
ajst-30223	20	45	aquifer	aquifer	NOUN
ajst-30223	20	46	,	,	PUNCT
ajst-30223	20	47	and	and	CCONJ
ajst-30223	20	48	the	the	DET
ajst-30223	20	49	neogene	neogene	ADJ
ajst-30223	20	50	loose	loose	ADJ
ajst-30223	20	51	clastic	clastic	ADJ
ajst-30223	20	52	sediment	sediment	NOUN
ajst-30223	20	53	pore	pore	ADJ
ajst-30223	20	54	aquifer	aquifer	NOUN
ajst-30223	20	55	.	.	PUNCT
ajst-30223	21	1	the	the	DET
ajst-30223	21	2	primary	primary	ADJ
ajst-30223	21	3	source	source	NOUN
ajst-30223	21	4	of	of	ADP
ajst-30223	21	5	groundwater	groundwater	NOUN
ajst-30223	21	6	replenishment	replenishment	NOUN
ajst-30223	21	7	in	in	ADP
ajst-30223	21	8	this	this	DET
ajst-30223	21	9	mining	mining	NOUN
ajst-30223	21	10	area	area	NOUN
ajst-30223	21	11	is	be	AUX
ajst-30223	21	12	precipitation	precipitation	NOUN
ajst-30223	21	13	.	.	PUNCT
ajst-30223	22	1	rainwater	rainwater	NOUN
ajst-30223	22	2	moves	move	NOUN
ajst-30223	22	3	to	to	ADP
ajst-30223	22	4	the	the	DET
ajst-30223	22	5	subterranean	subterranean	ADJ
ajst-30223	22	6	layer	layer	NOUN
ajst-30223	22	7	through	through	ADP
ajst-30223	22	8	various	various	ADJ
ajst-30223	22	9	conduits	conduit	NOUN
ajst-30223	22	10	,	,	PUNCT
ajst-30223	22	11	forming	form	VERB
ajst-30223	22	12	groundwater	groundwater	NOUN
ajst-30223	22	13	,	,	PUNCT
ajst-30223	22	14	which	which	PRON
ajst-30223	22	15	typically	typically	ADV
ajst-30223	22	16	flows	flow	VERB
ajst-30223	22	17	from	from	ADP
ajst-30223	22	18	west	west	PROPN
ajst-30223	22	19	to	to	ADP
ajst-30223	22	20	east	east	PROPN
ajst-30223	22	21	.	.	PUNCT
ajst-30223	23	1	the	the	DET
ajst-30223	23	2	distribution	distribution	NOUN
ajst-30223	23	3	of	of	ADP
ajst-30223	23	4	the	the	DET
ajst-30223	23	5	underground	underground	ADJ
ajst-30223	23	6	aquifers	aquifer	NOUN
ajst-30223	23	7	is	be	AUX
ajst-30223	23	8	summarized	summarize	VERB
ajst-30223	23	9	in	in	ADP
ajst-30223	23	10	table	table	NOUN
ajst-30223	23	11	1	1	NUM
ajst-30223	23	12	.	.	PUNCT
ajst-30223	23	13	table	table	NOUN
ajst-30223	23	14	1	1	NUM
ajst-30223	23	15	.	.	PUNCT
ajst-30223	24	1	statistics	statistic	NOUN
ajst-30223	24	2	of	of	ADP
ajst-30223	24	3	aquifer	aquifer	NOUN
ajst-30223	24	4	distribution	distribution	NOUN
ajst-30223	24	5	in	in	ADP
ajst-30223	24	6	the	the	DET
ajst-30223	24	7	mining	mining	NOUN
ajst-30223	24	8	area	area	NOUN
ajst-30223	24	9	main	main	ADJ
ajst-30223	24	10	aquifer	aquifer	NOUN
ajst-30223	24	11	layer	layer	NOUN
ajst-30223	24	12	main	main	ADJ
ajst-30223	24	13	lithology	lithology	NOUN
ajst-30223	24	14	water	water	NOUN
ajst-30223	24	15	yield	yield	NOUN
ajst-30223	24	16	thickness	thickness	NOUN
ajst-30223	24	17	(	(	PUNCT
ajst-30223	24	18	m	m	NOUN
ajst-30223	24	19	)	)	PUNCT
ajst-30223	24	20	water	water	NOUN
ajst-30223	24	21	level	level	NOUN
ajst-30223	24	22	elevation	elevation	NOUN
ajst-30223	24	23	(	(	PUNCT
ajst-30223	24	24	m	m	NOUN
ajst-30223	24	25	)	)	PUNCT
ajst-30223	24	26	middle	middle	ADJ
ajst-30223	24	27	-	-	PUNCT
ajst-30223	24	28	lower	low	ADJ
ajst-30223	24	29	ordovician	ordovician	ADJ
ajst-30223	24	30	dolomitic	dolomitic	ADJ
ajst-30223	24	31	limestone	limestone	NOUN
ajst-30223	24	32	weak	weak	ADV
ajst-30223	24	33	-	-	PUNCT
ajst-30223	24	34	strong	strong	ADJ
ajst-30223	24	35	0.60–16.50	0.60–16.50	PROPN
ajst-30223	24	36	1042.01–1065	1042.01–1065	NUM
ajst-30223	24	37	upper	upper	ADJ
ajst-30223	24	38	carboniferous	carboniferous	PROPN
ajst-30223	24	39	taiyuan	taiyuan	PROPN
ajst-30223	24	40	group	group	PROPN
ajst-30223	24	41	fine	fine	ADJ
ajst-30223	24	42	to	to	ADP
ajst-30223	24	43	medium	medium	ADJ
ajst-30223	24	44	-	-	PUNCT
ajst-30223	24	45	grained	grain	VERB
ajst-30223	24	46	sandstone	sandstone	NOUN
ajst-30223	24	47	weak	weak	ADJ
ajst-30223	24	48	13.52–47.61	13.52–47.61	NUM
ajst-30223	25	1	1052.02–1065.14	1052.02–1065.14	NUM
ajst-30223	25	2	lower	low	ADJ
ajst-30223	25	3	permian	permian	PROPN
ajst-30223	25	4	shanxi	shanxi	PROPN
ajst-30223	25	5	group	group	PROPN
ajst-30223	25	6	fine	fine	PROPN
ajst-30223	25	7	to	to	PART
ajst-30223	25	8	coarse	coarse	VERB
ajst-30223	25	9	sandstone	sandstone	NOUN
ajst-30223	25	10	and	and	CCONJ
ajst-30223	25	11	gravel	gravel	VERB
ajst-30223	25	12	weak	weak	ADJ
ajst-30223	25	13	15.18–41.18	15.18–41.18	NUM
ajst-30223	26	1	1014.12–1068.23	1014.12–1068.23	NUM
ajst-30223	26	2	neogene	neogene	VERB
ajst-30223	26	3	lower	lower	ADV
ajst-30223	26	4	-	-	PUNCT
ajst-30223	26	5	middle	middle	ADJ
ajst-30223	26	6	fine	fine	NOUN
ajst-30223	26	7	to	to	ADP
ajst-30223	26	8	medium	medium	ADJ
ajst-30223	26	9	-	-	PUNCT
ajst-30223	26	10	grained	grain	VERB
ajst-30223	26	11	sandstone	sandstone	NOUN
ajst-30223	26	12	weakmedium	weakmedium	NOUN
ajst-30223	26	13	20.3–242.7	20.3–242.7	NUM
ajst-30223	26	14	1072.93–1212.74	1072.93–1212.74	NUM
ajst-30223	26	15	neogene	neogene	NOUN
ajst-30223	26	16	upper	upper	ADJ
ajst-30223	26	17	sand	sand	NOUN
ajst-30223	26	18	,	,	PUNCT
ajst-30223	26	19	gravel	gravel	NOUN
ajst-30223	26	20	,	,	PUNCT
ajst-30223	26	21	and	and	CCONJ
ajst-30223	26	22	clay	clay	NOUN
ajst-30223	26	23	weakmedium	weakmedium	NOUN
ajst-30223	26	24	36.3–153.7	36.3–153.7	NUM
ajst-30223	26	25	1065.2–1189.52	1065.2–1189.52	NUM
ajst-30223	26	26	the	the	DET
ajst-30223	26	27	main	main	ADJ
ajst-30223	26	28	aquitards	aquitard	NOUN
ajst-30223	26	29	in	in	ADP
ajst-30223	26	30	the	the	DET
ajst-30223	26	31	mining	mining	NOUN
ajst-30223	26	32	area	area	NOUN
ajst-30223	26	33	are	be	AUX
ajst-30223	26	34	the	the	DET
ajst-30223	26	35	clastic	clastic	ADJ
ajst-30223	26	36	aquitard	aquitard	NOUN
ajst-30223	26	37	of	of	ADP
ajst-30223	26	38	the	the	DET
ajst-30223	26	39	middle	middle	ADJ
ajst-30223	26	40	carboniferous	carboniferous	NOUN
ajst-30223	26	41	and	and	CCONJ
ajst-30223	26	42	the	the	DET
ajst-30223	26	43	clastic	clastic	ADJ
ajst-30223	26	44	aquitard	aquitard	NOUN
ajst-30223	26	45	of	of	ADP
ajst-30223	26	46	the	the	DET
ajst-30223	26	47	middle	middle	ADJ
ajst-30223	26	48	and	and	CCONJ
ajst-30223	26	49	lower	low	ADJ
ajst-30223	26	50	permian	permian	PROPN
ajst-30223	26	51	.	.	PUNCT
ajst-30223	27	1	the	the	DET
ajst-30223	27	2	main	main	ADJ
ajst-30223	27	3	lithology	lithology	NOUN
ajst-30223	27	4	and	and	CCONJ
ajst-30223	27	5	thickness	thickness	NOUN
ajst-30223	27	6	of	of	ADP
ajst-30223	27	7	the	the	DET
ajst-30223	27	8	aquitards	aquitard	NOUN
ajst-30223	27	9	are	be	AUX
ajst-30223	27	10	shown	show	VERB
ajst-30223	27	11	in	in	ADP
ajst-30223	27	12	table	table	NOUN
ajst-30223	27	13	2	2	NUM
ajst-30223	27	14	.	.	X
ajst-30223	27	15	296	296	NUM
ajst-30223	27	16	table	table	NOUN
ajst-30223	27	17	2	2	NUM
ajst-30223	27	18	.	.	PUNCT
ajst-30223	27	19	statistics	statistic	NOUN
ajst-30223	27	20	of	of	ADP
ajst-30223	27	21	aquitards	aquitard	NOUN
ajst-30223	27	22	in	in	ADP
ajst-30223	27	23	the	the	DET
ajst-30223	27	24	mining	mining	NOUN
ajst-30223	27	25	area	area	NOUN
ajst-30223	27	26	the	the	DET
ajst-30223	27	27	main	main	ADJ
ajst-30223	27	28	aquiclude	aquiclude	ADJ
ajst-30223	27	29	main	main	ADJ
ajst-30223	27	30	rocks	rock	NOUN
ajst-30223	27	31	waterresisting	waterresiste	VERB
ajst-30223	27	32	property	property	NOUN
ajst-30223	27	33	thickness	thickness	NOUN
ajst-30223	27	34	(	(	PUNCT
ajst-30223	27	35	m	m	NOUN
ajst-30223	27	36	)	)	PUNCT
ajst-30223	27	37	middle	middle	ADJ
ajst-30223	27	38	carboniferous	carboniferous	ADJ
ajst-30223	27	39	clastic	clastic	ADJ
ajst-30223	27	40	rock	rock	NOUN
ajst-30223	27	41	aquiclude	aquiclude	ADJ
ajst-30223	27	42	mudstone	mudstone	PROPN
ajst-30223	27	43	,	,	PUNCT
ajst-30223	27	44	sandstone	sandstone	NOUN
ajst-30223	27	45	moderation	moderation	NOUN
ajst-30223	27	46	23.68~44.27	23.68~44.27	NUM
ajst-30223	27	47	clastic	clastic	ADJ
ajst-30223	27	48	rock	rock	NOUN
ajst-30223	27	49	aquiclude	aquiclude	ADJ
ajst-30223	27	50	in	in	ADP
ajst-30223	27	51	the	the	DET
ajst-30223	27	52	middle	middle	ADJ
ajst-30223	27	53	and	and	CCONJ
ajst-30223	27	54	lower	low	ADJ
ajst-30223	27	55	part	part	NOUN
ajst-30223	27	56	of	of	ADP
ajst-30223	27	57	permian	permian	PROPN
ajst-30223	27	58	mudstone	mudstone	PROPN
ajst-30223	27	59	good	good	NOUN
ajst-30223	27	60	0~414.88	0~414.88	NUM
ajst-30223	27	61	2.2	2.2	NUM
ajst-30223	27	62	.	.	PUNCT
ajst-30223	28	1	mine	mine	NOUN
ajst-30223	28	2	water	water	NOUN
ajst-30223	28	3	filling	filling	NOUN
ajst-30223	28	4	factors	factor	NOUN
ajst-30223	28	5	the	the	DET
ajst-30223	28	6	primary	primary	ADJ
ajst-30223	28	7	source	source	NOUN
ajst-30223	28	8	of	of	ADP
ajst-30223	28	9	direct	direct	ADJ
ajst-30223	28	10	water	water	NOUN
ajst-30223	28	11	inflow	inflow	NOUN
ajst-30223	28	12	into	into	ADP
ajst-30223	28	13	the	the	DET
ajst-30223	28	14	coal	coal	NOUN
ajst-30223	28	15	mine	mine	NOUN
ajst-30223	28	16	is	be	AUX
ajst-30223	28	17	the	the	DET
ajst-30223	28	18	fractured	fractured	ADJ
ajst-30223	28	19	water	water	NOUN
ajst-30223	28	20	from	from	ADP
ajst-30223	28	21	the	the	DET
ajst-30223	28	22	sandstone	sandstone	NOUN
ajst-30223	28	23	of	of	ADP
ajst-30223	28	24	the	the	DET
ajst-30223	28	25	shanxi	shanxi	PROPN
ajst-30223	28	26	group	group	PROPN
ajst-30223	28	27	.	.	PUNCT
ajst-30223	29	1	the	the	DET
ajst-30223	29	2	secondary	secondary	ADJ
ajst-30223	29	3	source	source	NOUN
ajst-30223	29	4	of	of	ADP
ajst-30223	29	5	replenishment	replenishment	NOUN
ajst-30223	29	6	is	be	AUX
ajst-30223	29	7	the	the	DET
ajst-30223	29	8	karst	karst	ADJ
ajst-30223	29	9	fractured	fractured	ADJ
ajst-30223	29	10	water	water	NOUN
ajst-30223	29	11	from	from	ADP
ajst-30223	29	12	the	the	DET
ajst-30223	29	13	carbonate	carbonate	NOUN
ajst-30223	29	14	rocks	rock	NOUN
ajst-30223	29	15	of	of	ADP
ajst-30223	29	16	the	the	DET
ajst-30223	29	17	middle	middle	PROPN
ajst-30223	29	18	ordovician	ordovician	PROPN
ajst-30223	29	19	.	.	PUNCT
ajst-30223	30	1	additionally	additionally	ADV
ajst-30223	30	2	,	,	PUNCT
ajst-30223	30	3	due	due	ADP
ajst-30223	30	4	to	to	ADP
ajst-30223	30	5	the	the	DET
ajst-30223	30	6	unique	unique	ADJ
ajst-30223	30	7	lithology	lithology	NOUN
ajst-30223	30	8	of	of	ADP
ajst-30223	30	9	the	the	DET
ajst-30223	30	10	roof	roof	NOUN
ajst-30223	30	11	strata	strata	NOUN
ajst-30223	30	12	of	of	ADP
ajst-30223	30	13	the	the	DET
ajst-30223	30	14	no	no	NOUN
ajst-30223	30	15	.	.	NOUN
ajst-30223	30	16	4	4	NUM
ajst-30223	30	17	coal	coal	NOUN
ajst-30223	30	18	seam	seam	NOUN
ajst-30223	30	19	,	,	PUNCT
ajst-30223	30	20	loose	loose	ADJ
ajst-30223	30	21	aquifers	aquifer	NOUN
ajst-30223	30	22	may	may	AUX
ajst-30223	30	23	also	also	ADV
ajst-30223	30	24	serve	serve	VERB
ajst-30223	30	25	as	as	ADP
ajst-30223	30	26	an	an	DET
ajst-30223	30	27	indirect	indirect	ADJ
ajst-30223	30	28	source	source	NOUN
ajst-30223	30	29	of	of	ADP
ajst-30223	30	30	water	water	NOUN
ajst-30223	30	31	inflow	inflow	NOUN
ajst-30223	30	32	into	into	ADP
ajst-30223	30	33	the	the	DET
ajst-30223	30	34	coal	coal	NOUN
ajst-30223	30	35	seam	seam	NOUN
ajst-30223	30	36	.	.	PUNCT
ajst-30223	31	1	the	the	DET
ajst-30223	31	2	fractured	fractured	ADJ
ajst-30223	31	3	sandstone	sandstone	NOUN
ajst-30223	31	4	aquifer	aquifer	NOUN
ajst-30223	31	5	of	of	ADP
ajst-30223	31	6	the	the	DET
ajst-30223	31	7	taiyuan	taiyuan	PROPN
ajst-30223	31	8	group	group	NOUN
ajst-30223	31	9	typically	typically	ADV
ajst-30223	31	10	exhibits	exhibit	VERB
ajst-30223	31	11	underdeveloped	underdeveloped	ADJ
ajst-30223	31	12	fracture	fracture	NOUN
ajst-30223	31	13	systems	system	NOUN
ajst-30223	31	14	and	and	CCONJ
ajst-30223	31	15	does	do	AUX
ajst-30223	31	16	not	not	PART
ajst-30223	31	17	represent	represent	VERB
ajst-30223	31	18	a	a	DET
ajst-30223	31	19	major	major	ADJ
ajst-30223	31	20	source	source	NOUN
ajst-30223	31	21	of	of	ADP
ajst-30223	31	22	inflow	inflow	NOUN
ajst-30223	31	23	.	.	PUNCT
ajst-30223	32	1	2.3	2.3	NUM
ajst-30223	32	2	.	.	PUNCT
ajst-30223	33	1	characteristics	characteristic	NOUN
ajst-30223	33	2	of	of	ADP
ajst-30223	33	3	mine	mine	ADJ
ajst-30223	33	4	water	water	NOUN
ajst-30223	33	5	inflow	inflow	NOUN
ajst-30223	33	6	real	real	ADJ
ajst-30223	33	7	-	-	PUNCT
ajst-30223	33	8	time	time	NOUN
ajst-30223	33	9	monitoring	monitoring	NOUN
ajst-30223	33	10	of	of	ADP
ajst-30223	33	11	the	the	DET
ajst-30223	33	12	mine	mine	NOUN
ajst-30223	33	13	's	's	PART
ajst-30223	33	14	water	water	NOUN
ajst-30223	33	15	inflow	inflow	NOUN
ajst-30223	33	16	has	have	AUX
ajst-30223	33	17	been	be	AUX
ajst-30223	33	18	conducted	conduct	VERB
ajst-30223	33	19	through	through	ADP
ajst-30223	33	20	a	a	DET
ajst-30223	33	21	flow	flow	NOUN
ajst-30223	33	22	automatic	automatic	ADJ
ajst-30223	33	23	observation	observation	NOUN
ajst-30223	33	24	station	station	NOUN
ajst-30223	33	25	.	.	PUNCT
ajst-30223	34	1	the	the	DET
ajst-30223	34	2	dynamic	dynamic	ADJ
ajst-30223	34	3	curve	curve	NOUN
ajst-30223	34	4	of	of	ADP
ajst-30223	34	5	the	the	DET
ajst-30223	34	6	mine	mine	ADJ
ajst-30223	34	7	water	water	NOUN
ajst-30223	34	8	inflow	inflow	NOUN
ajst-30223	34	9	from	from	ADP
ajst-30223	34	10	2016	2016	NUM
ajst-30223	34	11	to	to	ADP
ajst-30223	34	12	2024	2024	NUM
ajst-30223	34	13	is	be	AUX
ajst-30223	34	14	illustrated	illustrate	VERB
ajst-30223	34	15	in	in	ADP
ajst-30223	34	16	figure	figure	NOUN
ajst-30223	34	17	1	1	NUM
ajst-30223	34	18	.	.	PUNCT
ajst-30223	34	19	2016/1	2016/1	NUM
ajst-30223	34	20	2017/1	2017/1	NUM
ajst-30223	34	21	2018/1	2018/1	NUM
ajst-30223	34	22	2019/1	2019/1	NUM
ajst-30223	34	23	2020/1	2020/1	NUM
ajst-30223	34	24	2021/1	2021/1	NUM
ajst-30223	34	25	2022/1	2022/1	NUM
ajst-30223	34	26	2023/1	2023/1	NOUN
ajst-30223	34	27	2024/1	2024/1	NUM
ajst-30223	34	28	2025/1	2025/1	NUM
ajst-30223	34	29	100	100	NUM
ajst-30223	34	30	200	200	NUM
ajst-30223	34	31	300	300	NUM
ajst-30223	34	32	400	400	NUM
ajst-30223	34	33	500	500	NUM
ajst-30223	34	34	600	600	NUM
ajst-30223	34	35	in	in	ADP
ajst-30223	34	36	fl	fl	NUM
ajst-30223	34	37	ow	ow	INTJ
ajst-30223	34	38	o	o	X
ajst-30223	34	39	f	f	PROPN
ajst-30223	34	40	w	w	NOUN
ajst-30223	34	41	at	at	ADP
ajst-30223	34	42	er	er	INTJ
ajst-30223	34	43	/m	/m	ADP
ajst-30223	34	44	3	3	NUM
ajst-30223	34	45	穐	穐	NOUN
ajst-30223	34	46	-1	-1	NOUN
ajst-30223	34	47	time	time	NOUN
ajst-30223	34	48	/	/	SYM
ajst-30223	34	49	s	s	PART
ajst-30223	34	50	figure	figure	NOUN
ajst-30223	34	51	1	1	NUM
ajst-30223	34	52	.	.	PUNCT
ajst-30223	34	53	mine	mine	ADJ
ajst-30223	34	54	water	water	NOUN
ajst-30223	34	55	inflow	inflow	NOUN
ajst-30223	34	56	dynamic	dynamic	ADJ
ajst-30223	34	57	curve	curve	NOUN
ajst-30223	34	58	it	it	PRON
ajst-30223	34	59	can	can	AUX
ajst-30223	34	60	be	be	AUX
ajst-30223	34	61	seen	see	VERB
ajst-30223	34	62	from	from	ADP
ajst-30223	34	63	fig.1	fig.1	PROPN
ajst-30223	34	64	that	that	SCONJ
ajst-30223	34	65	with	with	ADP
ajst-30223	34	66	the	the	DET
ajst-30223	34	67	increase	increase	NOUN
ajst-30223	34	68	of	of	ADP
ajst-30223	34	69	time	time	NOUN
ajst-30223	34	70	,	,	PUNCT
ajst-30223	34	71	the	the	DET
ajst-30223	34	72	mine	mine	ADJ
ajst-30223	34	73	water	water	NOUN
ajst-30223	34	74	inflow	inflow	NOUN
ajst-30223	34	75	increases	increase	NOUN
ajst-30223	34	76	year	year	NOUN
ajst-30223	34	77	by	by	ADP
ajst-30223	34	78	year	year	NOUN
ajst-30223	34	79	,	,	PUNCT
ajst-30223	34	80	and	and	CCONJ
ajst-30223	34	81	it	it	PRON
ajst-30223	34	82	has	have	AUX
ajst-30223	34	83	been	be	AUX
ajst-30223	34	84	increasing	increase	VERB
ajst-30223	34	85	steadily	steadily	ADV
ajst-30223	34	86	from	from	ADP
ajst-30223	34	87	2016	2016	NUM
ajst-30223	34	88	to	to	ADP
ajst-30223	34	89	2021	2021	NUM
ajst-30223	34	90	,	,	PUNCT
ajst-30223	34	91	reaching	reach	VERB
ajst-30223	34	92	the	the	DET
ajst-30223	34	93	maximum	maximum	ADJ
ajst-30223	34	94	water	water	NOUN
ajst-30223	34	95	inflow	inflow	NOUN
ajst-30223	34	96	in	in	ADP
ajst-30223	34	97	2021	2021	NUM
ajst-30223	34	98	,	,	PUNCT
ajst-30223	34	99	and	and	CCONJ
ajst-30223	34	100	then	then	ADV
ajst-30223	34	101	gradually	gradually	ADV
ajst-30223	34	102	tends	tend	VERB
ajst-30223	34	103	to	to	PART
ajst-30223	34	104	be	be	AUX
ajst-30223	34	105	stable	stable	ADJ
ajst-30223	34	106	.	.	PUNCT
ajst-30223	35	1	3	3	X
ajst-30223	35	2	.	.	X
ajst-30223	35	3	hydrogeological	hydrogeological	ADJ
ajst-30223	35	4	overview	overview	NOUN
ajst-30223	35	5	of	of	ADP
ajst-30223	35	6	the	the	DET
ajst-30223	35	7	mine	mine	ADJ
ajst-30223	35	8	3.1	3.1	NUM
ajst-30223	35	9	.	.	PUNCT
ajst-30223	36	1	prediction	prediction	NOUN
ajst-30223	36	2	of	of	ADP
ajst-30223	36	3	mine	mine	ADJ
ajst-30223	36	4	water	water	NOUN
ajst-30223	36	5	inflow	inflow	NOUN
ajst-30223	36	6	based	base	VERB
ajst-30223	36	7	on	on	ADP
ajst-30223	36	8	the	the	DET
ajst-30223	36	9	hydrogeological	hydrogeological	ADJ
ajst-30223	36	10	conditions	condition	NOUN
ajst-30223	36	11	of	of	ADP
ajst-30223	36	12	the	the	DET
ajst-30223	36	13	coal	coal	NOUN
ajst-30223	36	14	mine	mine	NOUN
ajst-30223	36	15	,	,	PUNCT
ajst-30223	36	16	the	the	DET
ajst-30223	36	17	direct	direct	ADJ
ajst-30223	36	18	water	water	NOUN
ajst-30223	36	19	recharge	recharge	NOUN
ajst-30223	36	20	aquifer	aquifer	NOUN
ajst-30223	36	21	of	of	ADP
ajst-30223	36	22	the	the	DET
ajst-30223	36	23	no	no	NOUN
ajst-30223	36	24	.	.	NOUN
ajst-30223	36	25	4	4	NUM
ajst-30223	36	26	coal	coal	NOUN
ajst-30223	36	27	seam	seam	NOUN
ajst-30223	36	28	in	in	ADP
ajst-30223	36	29	the	the	DET
ajst-30223	36	30	mining	mining	NOUN
ajst-30223	36	31	area	area	NOUN
ajst-30223	36	32	can	can	AUX
ajst-30223	36	33	be	be	AUX
ajst-30223	36	34	generalized	generalize	VERB
ajst-30223	36	35	as	as	ADP
ajst-30223	36	36	homogeneous	homogeneous	ADJ
ajst-30223	36	37	.	.	PUNCT
ajst-30223	37	1	analysis	analysis	NOUN
ajst-30223	37	2	of	of	ADP
ajst-30223	37	3	inrush	inrush	NOUN
ajst-30223	37	4	data	datum	NOUN
ajst-30223	37	5	and	and	CCONJ
ajst-30223	37	6	conditions	condition	NOUN
ajst-30223	37	7	from	from	ADP
ajst-30223	37	8	the	the	DET
ajst-30223	37	9	past	past	ADJ
ajst-30223	37	10	few	few	ADJ
ajst-30223	37	11	years	year	NOUN
ajst-30223	37	12	indicates	indicate	VERB
ajst-30223	37	13	that	that	SCONJ
ajst-30223	37	14	under	under	ADP
ajst-30223	37	15	normal	normal	ADJ
ajst-30223	37	16	circumstances	circumstance	NOUN
ajst-30223	37	17	,	,	PUNCT
ajst-30223	37	18	the	the	DET
ajst-30223	37	19	water	water	NOUN
ajst-30223	37	20	consumption	consumption	NOUN
ajst-30223	37	21	in	in	ADP
ajst-30223	37	22	the	the	DET
ajst-30223	37	23	mining	mining	NOUN
ajst-30223	37	24	area	area	NOUN
ajst-30223	37	25	remains	remain	VERB
ajst-30223	37	26	relatively	relatively	ADV
ajst-30223	37	27	stable	stable	ADJ
ajst-30223	37	28	.	.	PUNCT
ajst-30223	38	1	the	the	DET
ajst-30223	38	2	large	large	ADJ
ajst-30223	38	3	well	well	NOUN
ajst-30223	38	4	method	method	NOUN
ajst-30223	38	5	is	be	AUX
ajst-30223	38	6	employed	employ	VERB
ajst-30223	38	7	to	to	PART
ajst-30223	38	8	transform	transform	VERB
ajst-30223	38	9	the	the	DET
ajst-30223	38	10	originally	originally	ADV
ajst-30223	38	11	irregular	irregular	ADJ
ajst-30223	38	12	and	and	CCONJ
ajst-30223	38	13	complex	complex	ADJ
ajst-30223	38	14	boundary	boundary	NOUN
ajst-30223	38	15	into	into	ADP
ajst-30223	38	16	a	a	DET
ajst-30223	38	17	"	"	PUNCT
ajst-30223	38	18	large	large	ADJ
ajst-30223	38	19	well	well	NOUN
ajst-30223	38	20	"	"	PUNCT
ajst-30223	38	21	for	for	ADP
ajst-30223	38	22	easier	easy	ADJ
ajst-30223	38	23	calculation	calculation	NOUN
ajst-30223	38	24	.	.	PUNCT
ajst-30223	39	1	the	the	DET
ajst-30223	39	2	prediction	prediction	NOUN
ajst-30223	39	3	formula	formula	NOUN
ajst-30223	39	4	for	for	ADP
ajst-30223	39	5	water	water	NOUN
ajst-30223	39	6	inflow	inflow	NOUN
ajst-30223	39	7	from	from	ADP
ajst-30223	39	8	the	the	DET
ajst-30223	39	9	overlying	overlying	ADJ
ajst-30223	39	10	aquifer	aquifer	NOUN
ajst-30223	39	11	is	be	AUX
ajst-30223	39	12	as	as	SCONJ
ajst-30223	39	13	follows	follow	VERB
ajst-30223	39	14	:	:	PUNCT
ajst-30223	39	15	2	2	NUM
ajst-30223	39	16	r	r	NOUN
ajst-30223	39	17	0	0	NUM
ajst-30223	39	18	0	0	NUM
ajst-30223	39	19	2	2	NUM
ajst-30223	39	20	0.05692	0.05692	NUM
ajst-30223	39	21	lg	lg	NOUN
ajst-30223	39	22	lg	lg	PROPN
ajst-30223	39	23	h	h	PROPN
ajst-30223	39	24	m	m	VERB
ajst-30223	39	25	m	m	VERB
ajst-30223	39	26	h	h	ADJ
ajst-30223	40	1	q	q	PROPN
ajst-30223	41	1	k	k	NOUN
ajst-30223	41	2	r	r	NOUN
ajst-30223	41	3	r	r	NOUN
ajst-30223	41	4			PROPN
ajst-30223	41	5			PROPN
ajst-30223	41	6			PROPN
ajst-30223	41	7			PROPN
ajst-30223	41	8	（	（	PUNCT
ajst-30223	41	9	）	）	PUNCT
ajst-30223	42	1	(	(	PUNCT
ajst-30223	42	2	1	1	X
ajst-30223	42	3	)	)	PUNCT
ajst-30223	42	4	where	where	SCONJ
ajst-30223	42	5	:	:	PUNCT
ajst-30223	42	6	qr	qr	PROPN
ajst-30223	42	7	is	be	AUX
ajst-30223	42	8	the	the	DET
ajst-30223	42	9	normal	normal	ADJ
ajst-30223	42	10	water	water	NOUN
ajst-30223	42	11	inflow	inflow	NOUN
ajst-30223	42	12	of	of	ADP
ajst-30223	42	13	the	the	DET
ajst-30223	42	14	expected	expect	VERB
ajst-30223	42	15	mine	mine	NOUN
ajst-30223	42	16	roof	roof	NOUN
ajst-30223	42	17	aquifer	aquifer	NOUN
ajst-30223	42	18	;	;	PUNCT
ajst-30223	42	19	k	k	X
ajst-30223	42	20	is	be	AUX
ajst-30223	42	21	the	the	DET
ajst-30223	42	22	permeability	permeability	NOUN
ajst-30223	42	23	coefficient	coefficient	NOUN
ajst-30223	42	24	;	;	PUNCT
ajst-30223	42	25	h	h	NOUN
ajst-30223	42	26	is	be	AUX
ajst-30223	42	27	the	the	DET
ajst-30223	42	28	height	height	NOUN
ajst-30223	42	29	of	of	ADP
ajst-30223	42	30	water	water	NOUN
ajst-30223	42	31	column	column	NOUN
ajst-30223	42	32	;	;	PUNCT
ajst-30223	42	33	m	m	VERB
ajst-30223	42	34	is	be	AUX
ajst-30223	42	35	the	the	DET
ajst-30223	42	36	thickness	thickness	NOUN
ajst-30223	42	37	of	of	ADP
ajst-30223	42	38	aquifer	aquifer	NOUN
ajst-30223	42	39	;	;	PUNCT
ajst-30223	42	40	r0	r0	NOUN
ajst-30223	42	41	is	be	AUX
ajst-30223	42	42	the	the	DET
ajst-30223	42	43	reference	reference	NOUN
ajst-30223	42	44	radius	radius	NOUN
ajst-30223	42	45	;	;	PUNCT
ajst-30223	42	46	r0	r0	NOUN
ajst-30223	42	47	is	be	AUX
ajst-30223	42	48	the	the	DET
ajst-30223	42	49	reference	reference	NOUN
ajst-30223	42	50	influence	influence	NOUN
ajst-30223	42	51	radius	radius	NOUN
ajst-30223	42	52	;	;	PUNCT
ajst-30223	42	53	h	h	NOUN
ajst-30223	42	54	is	be	AUX
ajst-30223	42	55	the	the	DET
ajst-30223	42	56	distance	distance	NOUN
ajst-30223	42	57	from	from	ADP
ajst-30223	42	58	the	the	DET
ajst-30223	42	59	water	water	NOUN
ajst-30223	42	60	level	level	NOUN
ajst-30223	42	61	to	to	ADP
ajst-30223	42	62	the	the	DET
ajst-30223	42	63	bottom	bottom	NOUN
ajst-30223	42	64	;	;	PUNCT
ajst-30223	42	65	among	among	ADP
ajst-30223	42	66	them	they	PRON
ajst-30223	42	67	:	:	PUNCT
ajst-30223	42	68	0	0	NUM
ajst-30223	42	69	0	0	NUM
ajst-30223	42	70	0	0	NUM
ajst-30223	42	71	10.2062	10.2062	NUM
ajst-30223	42	72	1000	1000	NUM
ajst-30223	42	73	/	/	SYM
ajst-30223	42	74	r	r	NOUN
ajst-30223	43	1	r	r	NOUN
ajst-30223	43	2	r	r	NOUN
ajst-30223	43	3	r	r	NOUN
ajst-30223	43	4	h	h	NOUN
ajst-30223	43	5	k	k	NOUN
ajst-30223	43	6	r	r	NOUN
ajst-30223	43	7	f	f	PROPN
ajst-30223	43	8			PROPN
ajst-30223	43	9			PROPN
ajst-30223	43	10			VERB
ajst-30223	43	11			NOUN
ajst-30223	43	12			NOUN
ajst-30223	43	13	(	(	PUNCT
ajst-30223	43	14	2	2	NUM
ajst-30223	43	15	)	)	PUNCT
ajst-30223	43	16	where	where	SCONJ
ajst-30223	43	17	:	:	PUNCT
ajst-30223	43	18	r	r	NOUN
ajst-30223	43	19	is	be	AUX
ajst-30223	43	20	to	to	PART
ajst-30223	43	21	calculate	calculate	VERB
ajst-30223	43	22	the	the	DET
ajst-30223	43	23	influence	influence	NOUN
ajst-30223	43	24	radius	radius	NOUN
ajst-30223	43	25	;	;	PUNCT
ajst-30223	43	26	f	f	PROPN
ajst-30223	43	27	is	be	AUX
ajst-30223	43	28	the	the	DET
ajst-30223	43	29	area	area	NOUN
ajst-30223	43	30	taken	take	VERB
ajst-30223	43	31	.	.	PUNCT
ajst-30223	44	1	the	the	DET
ajst-30223	44	2	prediction	prediction	NOUN
ajst-30223	44	3	formula	formula	NOUN
ajst-30223	44	4	of	of	ADP
ajst-30223	44	5	water	water	NOUN
ajst-30223	44	6	inflow	inflow	NOUN
ajst-30223	44	7	in	in	ADP
ajst-30223	44	8	floor	floor	NOUN
ajst-30223	44	9	aquifer	aquifer	NOUN
ajst-30223	44	10	is	be	AUX
ajst-30223	44	11	as	as	SCONJ
ajst-30223	44	12	follows	follow	VERB
ajst-30223	44	13	:	:	PUNCT
ajst-30223	44	14	0	0	NUM
ajst-30223	44	15	00.11375	00.11375	NUM
ajst-30223	44	16	/	/	PUNCT
ajst-30223	45	1	(	(	PUNCT
ajst-30223	45	2	log	log	VERB
ajst-30223	45	3	logfq	logfq	PROPN
ajst-30223	45	4	kmh	kmh	PROPN
ajst-30223	45	5	r	r	PROPN
ajst-30223	45	6	r	r	NOUN
ajst-30223	45	7			PROPN
ajst-30223	45	8	）	）	PUNCT
ajst-30223	45	9	(	(	PUNCT
ajst-30223	45	10	3	3	X
ajst-30223	45	11	)	)	PUNCT
ajst-30223	45	12	qf	qf	PROPN
ajst-30223	45	13	represents	represent	VERB
ajst-30223	45	14	the	the	DET
ajst-30223	45	15	expected	expect	VERB
ajst-30223	45	16	normal	normal	ADJ
ajst-30223	45	17	water	water	NOUN
ajst-30223	45	18	inflow	inflow	NOUN
ajst-30223	45	19	rate	rate	NOUN
ajst-30223	45	20	from	from	ADP
ajst-30223	45	21	the	the	DET
ajst-30223	45	22	mine	mine	NOUN
ajst-30223	45	23	’s	’s	PART
ajst-30223	45	24	floor	floor	NOUN
ajst-30223	45	25	aquifer	aquifer	NOUN
ajst-30223	45	26	.	.	PUNCT
ajst-30223	46	1	under	under	ADP
ajst-30223	46	2	the	the	DET
ajst-30223	46	3	current	current	ADJ
ajst-30223	46	4	mining	mining	NOUN
ajst-30223	46	5	conditions	condition	NOUN
ajst-30223	46	6	,	,	PUNCT
ajst-30223	46	7	the	the	DET
ajst-30223	46	8	height	height	NOUN
ajst-30223	46	9	of	of	ADP
ajst-30223	46	10	the	the	DET
ajst-30223	46	11	"	"	PUNCT
ajst-30223	46	12	three	three	NUM
ajst-30223	46	13	zones	zone	NOUN
ajst-30223	46	14	"	"	PUNCT
ajst-30223	46	15	for	for	ADP
ajst-30223	46	16	the	the	DET
ajst-30223	46	17	no	no	NOUN
ajst-30223	46	18	.	.	NOUN
ajst-30223	46	19	4	4	NUM
ajst-30223	46	20	coal	coal	NOUN
ajst-30223	46	21	seam	seam	NOUN
ajst-30223	46	22	and	and	CCONJ
ajst-30223	46	23	the	the	DET
ajst-30223	46	24	depth	depth	NOUN
ajst-30223	46	25	of	of	ADP
ajst-30223	46	26	disturbance	disturbance	NOUN
ajst-30223	46	27	to	to	ADP
ajst-30223	46	28	the	the	DET
ajst-30223	46	29	floor	floor	NOUN
ajst-30223	46	30	involves	involve	VERB
ajst-30223	46	31	both	both	CCONJ
ajst-30223	46	32	the	the	DET
ajst-30223	46	33	upper	upper	ADJ
ajst-30223	46	34	and	and	CCONJ
ajst-30223	46	35	lower	low	ADJ
ajst-30223	46	36	shihezi	shihezi	PROPN
ajst-30223	46	37	group	group	NOUN
ajst-30223	46	38	sandstone	sandstone	NOUN
ajst-30223	46	39	aquifers	aquifer	NOUN
ajst-30223	46	40	.	.	PUNCT
ajst-30223	47	1	based	base	VERB
ajst-30223	47	2	on	on	ADP
ajst-30223	47	3	the	the	DET
ajst-30223	47	4	water	water	NOUN
ajst-30223	47	5	withdrawal	withdrawal	PROPN
ajst-30223	47	6	test	test	NOUN
ajst-30223	47	7	results	result	NOUN
ajst-30223	47	8	and	and	CCONJ
ajst-30223	47	9	monitoring	monitor	VERB
ajst-30223	47	10	data	datum	NOUN
ajst-30223	47	11	from	from	ADP
ajst-30223	47	12	hydrogeological	hydrogeological	ADJ
ajst-30223	47	13	boreholes	borehole	NOUN
ajst-30223	47	14	that	that	PRON
ajst-30223	47	15	expose	expose	VERB
ajst-30223	47	16	the	the	DET
ajst-30223	47	17	relevant	relevant	ADJ
ajst-30223	47	18	aquifers	aquifer	NOUN
ajst-30223	47	19	,	,	PUNCT
ajst-30223	47	20	the	the	DET
ajst-30223	47	21	overlying	overlying	ADJ
ajst-30223	47	22	aquifer	aquifer	NOUN
ajst-30223	47	23	of	of	ADP
ajst-30223	47	24	the	the	DET
ajst-30223	47	25	no	no	NOUN
ajst-30223	47	26	.	.	NOUN
ajst-30223	47	27	4	4	NUM
ajst-30223	47	28	coal	coal	NOUN
ajst-30223	47	29	seam	seam	NOUN
ajst-30223	47	30	corresponds	correspond	VERB
ajst-30223	47	31	to	to	ADP
ajst-30223	47	32	297	297	NUM
ajst-30223	47	33	the	the	DET
ajst-30223	47	34	upper	upper	ADJ
ajst-30223	47	35	and	and	CCONJ
ajst-30223	47	36	lower	low	ADJ
ajst-30223	47	37	shihezi	shihezi	PROPN
ajst-30223	47	38	group	group	NOUN
ajst-30223	47	39	aquifers	aquifer	NOUN
ajst-30223	47	40	.	.	PUNCT
ajst-30223	48	1	data	datum	NOUN
ajst-30223	48	2	from	from	ADP
ajst-30223	48	3	the	the	DET
ajst-30223	48	4	no	no	NOUN
ajst-30223	48	5	.	.	NOUN
ajst-30223	48	6	2	2	NUM
ajst-30223	48	7	intake	intake	NOUN
ajst-30223	48	8	shaft	shaft	NOUN
ajst-30223	48	9	shows	show	VERB
ajst-30223	48	10	a	a	DET
ajst-30223	48	11	permeability	permeability	NOUN
ajst-30223	48	12	coefficient	coefficient	NOUN
ajst-30223	48	13	of	of	ADP
ajst-30223	48	14	0.0014	0.0014	NUM
ajst-30223	48	15	m	m	NOUN
ajst-30223	48	16	/	/	SYM
ajst-30223	48	17	d	d	PROPN
ajst-30223	48	18	and	and	CCONJ
ajst-30223	48	19	a	a	DET
ajst-30223	48	20	water	water	NOUN
ajst-30223	48	21	level	level	NOUN
ajst-30223	48	22	elevation	elevation	NOUN
ajst-30223	48	23	of	of	ADP
ajst-30223	48	24	1254.99	1254.99	NUM
ajst-30223	48	25	m.	m.	NOUN
ajst-30223	48	26	the	the	DET
ajst-30223	48	27	floor	floor	NOUN
ajst-30223	48	28	aquifer	aquifer	NOUN
ajst-30223	48	29	of	of	ADP
ajst-30223	48	30	the	the	DET
ajst-30223	48	31	no	no	NOUN
ajst-30223	48	32	.	.	NOUN
ajst-30223	48	33	4	4	NUM
ajst-30223	48	34	coal	coal	NOUN
ajst-30223	48	35	seam	seam	NOUN
ajst-30223	48	36	corresponds	correspond	VERB
ajst-30223	48	37	to	to	ADP
ajst-30223	48	38	the	the	DET
ajst-30223	48	39	shanxi	shanxi	PROPN
ajst-30223	48	40	group	group	PROPN
ajst-30223	48	41	aquifer	aquifer	NOUN
ajst-30223	48	42	,	,	PUNCT
ajst-30223	48	43	with	with	ADP
ajst-30223	48	44	data	datum	NOUN
ajst-30223	48	45	from	from	ADP
ajst-30223	48	46	boreholes	borehole	NOUN
ajst-30223	48	47	3407	3407	NUM
ajst-30223	48	48	and	and	CCONJ
ajst-30223	48	49	27158	27158	NUM
ajst-30223	48	50	indicating	indicate	VERB
ajst-30223	48	51	a	a	DET
ajst-30223	48	52	permeability	permeability	NOUN
ajst-30223	48	53	coefficient	coefficient	NOUN
ajst-30223	48	54	of	of	ADP
ajst-30223	48	55	0.0733	0.0733	NUM
ajst-30223	48	56	m	m	NOUN
ajst-30223	48	57	/	/	SYM
ajst-30223	48	58	d	d	PROPN
ajst-30223	48	59	and	and	CCONJ
ajst-30223	48	60	a	a	DET
ajst-30223	48	61	water	water	NOUN
ajst-30223	48	62	level	level	NOUN
ajst-30223	48	63	elevation	elevation	NOUN
ajst-30223	48	64	of	of	ADP
ajst-30223	48	65	1068.02	1068.02	NUM
ajst-30223	48	66	m.	m.	NOUN
ajst-30223	48	67	the	the	DET
ajst-30223	48	68	elevation	elevation	NOUN
ajst-30223	48	69	of	of	ADP
ajst-30223	48	70	the	the	DET
ajst-30223	48	71	bottom	bottom	NOUN
ajst-30223	48	72	of	of	ADP
ajst-30223	48	73	the	the	DET
ajst-30223	48	74	no	no	NOUN
ajst-30223	48	75	.	.	NOUN
ajst-30223	48	76	4	4	NUM
ajst-30223	48	77	coal	coal	NOUN
ajst-30223	48	78	seam	seam	NOUN
ajst-30223	48	79	is	be	AUX
ajst-30223	48	80	684.80	684.80	NUM
ajst-30223	48	81	m.	m.	NOUN
ajst-30223	48	82	based	base	VERB
ajst-30223	48	83	on	on	ADP
ajst-30223	48	84	the	the	DET
ajst-30223	48	85	borehole	borehole	NOUN
ajst-30223	48	86	data	datum	NOUN
ajst-30223	48	87	from	from	ADP
ajst-30223	48	88	the	the	DET
ajst-30223	48	89	water	water	NOUN
ajst-30223	48	90	withdrawal	withdrawal	NOUN
ajst-30223	48	91	tests	test	NOUN
ajst-30223	48	92	,	,	PUNCT
ajst-30223	48	93	the	the	DET
ajst-30223	48	94	thickness	thickness	NOUN
ajst-30223	48	95	of	of	ADP
ajst-30223	48	96	the	the	DET
ajst-30223	48	97	overlying	overlying	ADJ
ajst-30223	48	98	aquifer	aquifer	NOUN
ajst-30223	48	99	for	for	ADP
ajst-30223	48	100	the	the	DET
ajst-30223	48	101	no	no	NOUN
ajst-30223	48	102	.	.	NOUN
ajst-30223	48	103	4	4	NUM
ajst-30223	48	104	coal	coal	NOUN
ajst-30223	48	105	seam	seam	NOUN
ajst-30223	48	106	is	be	AUX
ajst-30223	48	107	found	find	VERB
ajst-30223	48	108	to	to	PART
ajst-30223	48	109	range	range	VERB
ajst-30223	48	110	from	from	ADP
ajst-30223	48	111	22.70	22.70	NUM
ajst-30223	48	112	m	m	NOUN
ajst-30223	48	113	to	to	ADP
ajst-30223	48	114	162.56	162.56	NUM
ajst-30223	48	115	m	m	NOUN
ajst-30223	48	116	,	,	PUNCT
ajst-30223	48	117	while	while	SCONJ
ajst-30223	48	118	the	the	DET
ajst-30223	48	119	thickness	thickness	NOUN
ajst-30223	48	120	of	of	ADP
ajst-30223	48	121	the	the	DET
ajst-30223	48	122	floor	floor	NOUN
ajst-30223	48	123	aquifer	aquifer	NOUN
ajst-30223	48	124	ranges	range	VERB
ajst-30223	48	125	from	from	ADP
ajst-30223	48	126	1.45	1.45	NUM
ajst-30223	48	127	m	m	NOUN
ajst-30223	48	128	to	to	ADP
ajst-30223	48	129	24.24	24.24	NUM
ajst-30223	48	130	m.	m.	NOUN
ajst-30223	48	131	by	by	ADP
ajst-30223	48	132	substituting	substitute	VERB
ajst-30223	48	133	all	all	DET
ajst-30223	48	134	the	the	DET
ajst-30223	48	135	relevant	relevant	ADJ
ajst-30223	48	136	data	datum	NOUN
ajst-30223	48	137	into	into	ADP
ajst-30223	48	138	the	the	DET
ajst-30223	48	139	formula	formula	NOUN
ajst-30223	48	140	,	,	PUNCT
ajst-30223	48	141	the	the	DET
ajst-30223	48	142	water	water	NOUN
ajst-30223	48	143	inflow	inflow	NOUN
ajst-30223	48	144	can	can	AUX
ajst-30223	48	145	be	be	AUX
ajst-30223	48	146	calculated	calculate	VERB
ajst-30223	48	147	,	,	PUNCT
ajst-30223	48	148	and	and	CCONJ
ajst-30223	48	149	the	the	DET
ajst-30223	48	150	results	result	NOUN
ajst-30223	48	151	are	be	AUX
ajst-30223	48	152	presented	present	VERB
ajst-30223	48	153	in	in	ADP
ajst-30223	48	154	table	table	NOUN
ajst-30223	48	155	3	3	NUM
ajst-30223	48	156	.	.	PUNCT
ajst-30223	48	157	table	table	NOUN
ajst-30223	48	158	3	3	NUM
ajst-30223	48	159	.	.	X
ajst-30223	48	160	calculation	calculation	NOUN
ajst-30223	48	161	of	of	ADP
ajst-30223	48	162	water	water	NOUN
ajst-30223	48	163	inflow	inflow	NOUN
ajst-30223	48	164	for	for	ADP
ajst-30223	48	165	no	no	NOUN
ajst-30223	48	166	.	.	NOUN
ajst-30223	48	167	4	4	NUM
ajst-30223	48	168	coal	coal	NOUN
ajst-30223	48	169	seam	seam	NOUN
ajst-30223	48	170	mining	mining	NOUN
ajst-30223	48	171	area	area	NOUN
ajst-30223	48	172	roof	roof	NOUN
ajst-30223	48	173	and	and	CCONJ
ajst-30223	48	174	floor	floor	NOUN
ajst-30223	48	175	strata	strata	PROPN
ajst-30223	49	1	k	k	PROPN
ajst-30223	50	1	h	h	PROPN
ajst-30223	50	2	m	m	VERB
ajst-30223	50	3	f	f	VERB
ajst-30223	50	4	r0	r0	NOUN
ajst-30223	50	5	r	r	NOUN
ajst-30223	50	6	r0	r0	NOUN
ajst-30223	50	7	q	q	PROPN
ajst-30223	50	8	total	total	ADJ
ajst-30223	50	9	area	area	NOUN
ajst-30223	50	10	1	1	NUM
ajst-30223	50	11	roof	roof	NOUN
ajst-30223	50	12	strata	strata	NOUN
ajst-30223	50	13	0.0014	0.0014	NUM
ajst-30223	50	14	570.19	570.19	NUM
ajst-30223	50	15	122.32	122.32	NUM
ajst-30223	50	16	15.09	15.09	NUM
ajst-30223	50	17	2191.64	2191.64	NUM
ajst-30223	50	18	217.74	217.74	NUM
ajst-30223	50	19	2409.38	2409.38	NUM
ajst-30223	50	20	241.24	241.24	NUM
ajst-30223	50	21	500.87	500.87	NUM
ajst-30223	50	22	floor	floor	NOUN
ajst-30223	50	23	strata	strata	NOUN
ajst-30223	50	24	0.0733	0.0733	NUM
ajst-30223	50	25	383.22	383.22	NUM
ajst-30223	50	26	13.91	13.91	NUM
ajst-30223	50	27	1058.92	1058.92	NUM
ajst-30223	50	28	3250.56	3250.56	NUM
ajst-30223	50	29	259.63	259.63	NUM
ajst-30223	50	30	area	area	NOUN
ajst-30223	50	31	2	2	NUM
ajst-30223	50	32	roof	roof	NOUN
ajst-30223	50	33	strata	strata	NOUN
ajst-30223	50	34	0.0014	0.0014	NUM
ajst-30223	51	1	570.19	570.19	NUM
ajst-30223	51	2	70.80	70.80	NUM
ajst-30223	51	3	10.17	10.17	NUM
ajst-30223	51	4	1799.22	1799.22	NUM
ajst-30223	51	5	217.74	217.74	NUM
ajst-30223	51	6	2016.96	2016.96	NUM
ajst-30223	51	7	121.63	121.63	NUM
ajst-30223	51	8	365.49	365.49	NUM
ajst-30223	51	9	floor	floor	NOUN
ajst-30223	51	10	strata	strata	NOUN
ajst-30223	51	11	0.0733	0.0733	NUM
ajst-30223	52	1	383.22	383.22	NUM
ajst-30223	52	2	15.34	15.34	NUM
ajst-30223	52	3	1058.92	1058.92	NUM
ajst-30223	52	4	2858.14	2858.14	NUM
ajst-30223	52	5	243.86	243.86	NUM
ajst-30223	52	6	area	area	NOUN
ajst-30223	52	7	3	3	NUM
ajst-30223	52	8	roof	roof	NOUN
ajst-30223	52	9	strata	strata	NOUN
ajst-30223	52	10	0.0014	0.0014	NUM
ajst-30223	52	11	570.19	570.19	NUM
ajst-30223	52	12	60.32	60.32	NUM
ajst-30223	52	13	12.28	12.28	NUM
ajst-30223	52	14	1977.08	1977.08	NUM
ajst-30223	52	15	217.74	217.74	NUM
ajst-30223	52	16	2194.82	2194.82	NUM
ajst-30223	52	17	114.42	114.42	NUM
ajst-30223	52	18	263.65	263.65	NUM
ajst-30223	52	19	floor	floor	NOUN
ajst-30223	52	20	strata	strata	NOUN
ajst-30223	52	21	0.0733	0.0733	NUM
ajst-30223	52	22	383.22	383.22	NUM
ajst-30223	52	23	8.70	8.70	NUM
ajst-30223	52	24	1058.92	1058.92	NUM
ajst-30223	52	25	3036.00	3036.00	NUM
ajst-30223	52	26	149.23	149.23	NUM
ajst-30223	52	27	area	area	NOUN
ajst-30223	52	28	4	4	NUM
ajst-30223	52	29	roof	roof	NOUN
ajst-30223	52	30	strata	strata	NOUN
ajst-30223	52	31	0.0014	0.0014	NUM
ajst-30223	52	32	570.19	570.19	NUM
ajst-30223	52	33	59.19	59.19	NUM
ajst-30223	52	34	16.71	16.71	NUM
ajst-30223	52	35	2306.28	2306.28	NUM
ajst-30223	52	36	217.74	217.74	NUM
ajst-30223	52	37	2524.02	2524.02	NUM
ajst-30223	52	38	130.16	130.16	NUM
ajst-30223	52	39	406.26	406.26	NUM
ajst-30223	52	40	floor	floor	NOUN
ajst-30223	52	41	strata	strata	NOUN
ajst-30223	52	42	0.0733	0.0733	NUM
ajst-30223	52	43	383.22	383.22	NUM
ajst-30223	52	44	14.18	14.18	NUM
ajst-30223	52	45	1058.92	1058.92	NUM
ajst-30223	52	46	3365.20	3365.20	NUM
ajst-30223	52	47	276.10	276.10	NUM
ajst-30223	52	48	area	area	NOUN
ajst-30223	52	49	5	5	NUM
ajst-30223	52	50	roof	roof	NOUN
ajst-30223	52	51	strata	strata	NOUN
ajst-30223	52	52	0.0014	0.0014	NUM
ajst-30223	52	53	570.19	570.19	NUM
ajst-30223	52	54	98.53	98.53	NUM
ajst-30223	52	55	15.43	15.43	NUM
ajst-30223	52	56	2216.19	2216.19	NUM
ajst-30223	52	57	217.74	217.74	NUM
ajst-30223	52	58	2433.93	2433.93	NUM
ajst-30223	52	59	200.98	200.98	NUM
ajst-30223	52	60	416.30	416.30	NUM
ajst-30223	52	61	floor	floor	NOUN
ajst-30223	52	62	strata	strata	NOUN
ajst-30223	52	63	0.0733	0.0733	NUM
ajst-30223	52	64	383.22	383.22	NUM
ajst-30223	52	65	11.43	11.43	NUM
ajst-30223	52	66	1058.92	1058.92	NUM
ajst-30223	52	67	3275.11	3275.11	NUM
ajst-30223	52	68	215.32	215.32	NUM
ajst-30223	52	69	area	area	NOUN
ajst-30223	52	70	6	6	NUM
ajst-30223	52	71	roof	roof	NOUN
ajst-30223	52	72	strata	strata	NOUN
ajst-30223	52	73	0.0014	0.0014	NUM
ajst-30223	52	74	570.19	570.19	NUM
ajst-30223	52	75	64.10	64.10	NUM
ajst-30223	52	76	15.26	15.26	NUM
ajst-30223	52	77	2203.95	2203.95	NUM
ajst-30223	52	78	217.74	217.74	NUM
ajst-30223	52	79	2421.69	2421.69	NUM
ajst-30223	52	80	134.36	134.36	NUM
ajst-30223	52	81	470.40	470.40	NUM
ajst-30223	52	82	floor	floor	NOUN
ajst-30223	52	83	strata	strata	NOUN
ajst-30223	52	84	0.0733	0.0733	NUM
ajst-30223	52	85	383.22	383.22	NUM
ajst-30223	52	86	17.46	17.46	NUM
ajst-30223	52	87	1058.92	1058.92	NUM
ajst-30223	52	88	3262.87	3262.87	NUM
ajst-30223	52	89	336.04	336.04	NUM
ajst-30223	52	90	area	area	NOUN
ajst-30223	52	91	7	7	NUM
ajst-30223	52	92	roof	roof	NOUN
ajst-30223	52	93	strata	strata	NOUN
ajst-30223	52	94	0.0014	0.0014	NUM
ajst-30223	52	95	570.19	570.19	NUM
ajst-30223	52	96	62.64	62.64	NUM
ajst-30223	52	97	13.01	13.01	NUM
ajst-30223	52	98	2034.99	2034.99	NUM
ajst-30223	52	99	217.74	217.74	NUM
ajst-30223	52	100	2252.73	2252.73	NUM
ajst-30223	52	101	121.86	121.86	NUM
ajst-30223	52	102	475.55	475.55	NUM
ajst-30223	52	103	floor	floor	NOUN
ajst-30223	52	104	strata	strata	NOUN
ajst-30223	52	105	0.0733	0.0733	NUM
ajst-30223	53	1	383.22	383.22	NUM
ajst-30223	53	2	20.14	20.14	NUM
ajst-30223	53	3	1058.92	1058.92	NUM
ajst-30223	53	4	3093.91	3093.91	NUM
ajst-30223	53	5	353.69	353.69	NUM
ajst-30223	53	6	average	average	ADJ
ajst-30223	53	7	value	value	NOUN
ajst-30223	53	8	414.07	414.07	NUM
ajst-30223	53	9	the	the	DET
ajst-30223	53	10	calculation	calculation	NOUN
ajst-30223	53	11	results	result	NOUN
ajst-30223	53	12	indicate	indicate	VERB
ajst-30223	53	13	that	that	SCONJ
ajst-30223	53	14	during	during	ADP
ajst-30223	53	15	the	the	DET
ajst-30223	53	16	mining	mining	NOUN
ajst-30223	53	17	of	of	ADP
ajst-30223	53	18	coal	coal	NOUN
ajst-30223	53	19	seam	seam	NOUN
ajst-30223	53	20	4	4	NUM
ajst-30223	53	21	,	,	PUNCT
ajst-30223	53	22	the	the	DET
ajst-30223	53	23	water	water	NOUN
ajst-30223	53	24	inflow	inflow	NOUN
ajst-30223	53	25	in	in	ADP
ajst-30223	53	26	the	the	DET
ajst-30223	53	27	mining	mining	NOUN
ajst-30223	53	28	area	area	NOUN
ajst-30223	53	29	ranges	range	VERB
ajst-30223	53	30	from	from	ADP
ajst-30223	53	31	263.65	263.65	NUM
ajst-30223	53	32	to	to	ADP
ajst-30223	53	33	500.87	500.87	NUM
ajst-30223	53	34	m3	m3	PROPN
ajst-30223	53	35	/	/	SYM
ajst-30223	53	36	h	h	NOUN
ajst-30223	53	37	,	,	PUNCT
ajst-30223	53	38	with	with	ADP
ajst-30223	53	39	an	an	DET
ajst-30223	53	40	average	average	ADJ
ajst-30223	53	41	inflow	inflow	NOUN
ajst-30223	53	42	of	of	ADP
ajst-30223	53	43	414.07	414.07	NUM
ajst-30223	53	44	m3	m3	PROPN
ajst-30223	53	45	/	/	SYM
ajst-30223	53	46	h.	h.	PROPN
ajst-30223	53	47	if	if	SCONJ
ajst-30223	53	48	the	the	DET
ajst-30223	53	49	water	water	NOUN
ajst-30223	53	50	inflow	inflow	NOUN
ajst-30223	53	51	in	in	ADP
ajst-30223	53	52	the	the	DET
ajst-30223	53	53	roadway	roadway	NOUN
ajst-30223	53	54	is	be	AUX
ajst-30223	53	55	calculated	calculate	VERB
ajst-30223	53	56	to	to	PART
ajst-30223	53	57	be	be	AUX
ajst-30223	53	58	120	120	NUM
ajst-30223	53	59	m3	m3	PROPN
ajst-30223	53	60	/	/	SYM
ajst-30223	53	61	h	h	NOUN
ajst-30223	53	62	,	,	PUNCT
ajst-30223	53	63	then	then	ADV
ajst-30223	53	64	the	the	DET
ajst-30223	53	65	total	total	ADJ
ajst-30223	53	66	water	water	NOUN
ajst-30223	53	67	inflow	inflow	NOUN
ajst-30223	53	68	for	for	ADP
ajst-30223	53	69	coal	coal	NOUN
ajst-30223	53	70	seam	seam	NOUN
ajst-30223	53	71	4	4	NUM
ajst-30223	53	72	,	,	PUNCT
ajst-30223	53	73	when	when	SCONJ
ajst-30223	53	74	mining	mining	NOUN
ajst-30223	53	75	is	be	AUX
ajst-30223	53	76	conducted	conduct	VERB
ajst-30223	53	77	in	in	ADP
ajst-30223	53	78	only	only	ADV
ajst-30223	53	79	one	one	NUM
ajst-30223	53	80	mining	mining	NOUN
ajst-30223	53	81	area	area	NOUN
ajst-30223	53	82	,	,	PUNCT
ajst-30223	53	83	would	would	AUX
ajst-30223	53	84	amount	amount	VERB
ajst-30223	53	85	to	to	ADP
ajst-30223	53	86	534.07	534.07	NUM
ajst-30223	53	87	m3	m3	PROPN
ajst-30223	53	88	/	/	SYM
ajst-30223	53	89	h.	h.	PROPN
ajst-30223	53	90	based	base	VERB
ajst-30223	53	91	on	on	ADP
ajst-30223	53	92	empirical	empirical	ADJ
ajst-30223	53	93	data	datum	NOUN
ajst-30223	53	94	,	,	PUNCT
ajst-30223	53	95	the	the	DET
ajst-30223	53	96	maximum	maximum	ADJ
ajst-30223	53	97	water	water	NOUN
ajst-30223	53	98	inflow	inflow	NOUN
ajst-30223	53	99	is	be	AUX
ajst-30223	53	100	generally	generally	ADV
ajst-30223	53	101	1.3	1.3	NUM
ajst-30223	53	102	times	time	NOUN
ajst-30223	53	103	the	the	DET
ajst-30223	53	104	normal	normal	ADJ
ajst-30223	53	105	inflow	inflow	NOUN
ajst-30223	53	106	.	.	PUNCT
ajst-30223	54	1	therefore	therefore	ADV
ajst-30223	54	2	,	,	PUNCT
ajst-30223	54	3	the	the	DET
ajst-30223	54	4	maximum	maximum	ADJ
ajst-30223	54	5	water	water	NOUN
ajst-30223	54	6	inflow	inflow	NOUN
ajst-30223	54	7	for	for	ADP
ajst-30223	54	8	coal	coal	NOUN
ajst-30223	54	9	seam	seam	NOUN
ajst-30223	54	10	4	4	NUM
ajst-30223	54	11	is	be	AUX
ajst-30223	54	12	approximately	approximately	ADV
ajst-30223	54	13	694.29	694.29	NUM
ajst-30223	54	14	m3	m3	PROPN
ajst-30223	54	15	/	/	SYM
ajst-30223	54	16	h.	h.	PROPN
ajst-30223	54	17	3.2	3.2	NUM
ajst-30223	54	18	.	.	PUNCT
ajst-30223	54	19	prediction	prediction	NOUN
ajst-30223	54	20	of	of	ADP
ajst-30223	54	21	mine	mine	ADJ
ajst-30223	54	22	water	water	NOUN
ajst-30223	54	23	inflow	inflow	NOUN
ajst-30223	54	24	using	use	VERB
ajst-30223	54	25	different	different	ADJ
ajst-30223	54	26	curve	curve	NOUN
ajst-30223	54	27	models	model	NOUN
ajst-30223	54	28	3.2.1	3.2.1	NUM
ajst-30223	54	29	.	.	PUNCT
ajst-30223	55	1	different	different	ADJ
ajst-30223	55	2	growth	growth	NOUN
ajst-30223	55	3	curve	curve	NOUN
ajst-30223	55	4	models	model	NOUN
ajst-30223	55	5	(	(	PUNCT
ajst-30223	55	6	1	1	X
ajst-30223	55	7	)	)	PUNCT
ajst-30223	55	8	logistic	logistic	ADJ
ajst-30223	55	9	growth	growth	NOUN
ajst-30223	55	10	curve	curve	NOUN
ajst-30223	55	11	model	model	NOUN
ajst-30223	55	12	the	the	DET
ajst-30223	55	13	logistic	logistic	ADJ
ajst-30223	55	14	growth	growth	NOUN
ajst-30223	55	15	curve	curve	NOUN
ajst-30223	55	16	model	model	NOUN
ajst-30223	55	17	,	,	PUNCT
ajst-30223	55	18	also	also	ADV
ajst-30223	55	19	known	know	VERB
ajst-30223	55	20	as	as	ADP
ajst-30223	55	21	the	the	DET
ajst-30223	55	22	selflimiting	selflimite	VERB
ajst-30223	55	23	equation	equation	NOUN
ajst-30223	55	24	,	,	PUNCT
ajst-30223	55	25	was	be	AUX
ajst-30223	55	26	introduced	introduce	VERB
ajst-30223	55	27	in	in	ADP
ajst-30223	55	28	the	the	DET
ajst-30223	55	29	19th	19th	ADJ
ajst-30223	55	30	century	century	NOUN
ajst-30223	55	31	primarily	primarily	ADV
ajst-30223	55	32	to	to	PART
ajst-30223	55	33	address	address	VERB
ajst-30223	55	34	issues	issue	NOUN
ajst-30223	55	35	related	relate	VERB
ajst-30223	55	36	to	to	ADP
ajst-30223	55	37	population	population	NOUN
ajst-30223	55	38	growth	growth	NOUN
ajst-30223	55	39	in	in	ADP
ajst-30223	55	40	ecology	ecology	NOUN
ajst-30223	55	41	.	.	PUNCT
ajst-30223	56	1	this	this	DET
ajst-30223	56	2	model	model	NOUN
ajst-30223	56	3	is	be	AUX
ajst-30223	56	4	also	also	ADV
ajst-30223	56	5	applicable	applicable	ADJ
ajst-30223	56	6	for	for	ADP
ajst-30223	56	7	predicting	predict	VERB
ajst-30223	56	8	water	water	NOUN
ajst-30223	56	9	inflow	inflow	NOUN
ajst-30223	56	10	in	in	ADP
ajst-30223	56	11	mines	mine	NOUN
ajst-30223	56	12	.	.	PUNCT
ajst-30223	57	1	the	the	DET
ajst-30223	57	2	prediction	prediction	NOUN
ajst-30223	57	3	formula	formula	NOUN
ajst-30223	57	4	is	be	AUX
ajst-30223	57	5	as	as	SCONJ
ajst-30223	57	6	follows	follow	VERB
ajst-30223	57	7	:	:	PUNCT
ajst-30223	57	8	2	2	NUM
ajst-30223	57	9	/	/	SYM
ajst-30223	57	10	dq	dq	NOUN
ajst-30223	57	11	dt	dt	NOUN
ajst-30223	57	12	q	q	NOUN
ajst-30223	57	13	q	q	NOUN
ajst-30223	57	14			VERB
ajst-30223	57	15			NOUN
ajst-30223	57	16	,	,	PUNCT
ajst-30223	57	17	0＞	0＞	ADP
ajst-30223	57	18	,	,	PUNCT
ajst-30223	57	19	0＞	0＞	NUM
ajst-30223	57	20	(	(	PUNCT
ajst-30223	57	21	4	4	NUM
ajst-30223	57	22	)	)	PUNCT
ajst-30223	57	23	variable	variable	ADJ
ajst-30223	57	24	substitution	substitution	NOUN
ajst-30223	57	25	:	:	PUNCT
ajst-30223	57	26	2	2	X
ajst-30223	57	27	/	/	SYM
ajst-30223	57	28	/q	/q	PUNCT
ajst-30223	57	29	dq	dq	NOUN
ajst-30223	57	30	dt	dt	NOUN
ajst-30223	57	31			NOUN
ajst-30223	57	32			PROPN
ajst-30223	57	33			NOUN
ajst-30223	57	34			VERB
ajst-30223	57	35			NUM
ajst-30223	57	36	(	(	PUNCT
ajst-30223	57	37	5	5	NUM
ajst-30223	57	38	)	)	SYM
ajst-30223	57	39	1	1	NUM
ajst-30223	57	40	/	/	SYM
ajst-30223	57	41	/dq	/dq	NOUN
ajst-30223	57	42	dt	dt	X
ajst-30223	57	43			X
ajst-30223	57	44			PROPN
ajst-30223	57	45			PROPN
ajst-30223	57	46			ADV
ajst-30223	57	47			NUM
ajst-30223	57	48	(	(	PUNCT
ajst-30223	57	49	6	6	NUM
ajst-30223	57	50	)	)	PUNCT
ajst-30223	57	51	to	to	PART
ajst-30223	57	52	find	find	VERB
ajst-30223	57	53	the	the	DET
ajst-30223	57	54	general	general	ADJ
ajst-30223	57	55	solution	solution	NOUN
ajst-30223	57	56	to	to	ADP
ajst-30223	57	57	the	the	DET
ajst-30223	57	58	non	non	ADJ
ajst-30223	57	59	-	-	ADJ
ajst-30223	57	60	homogeneous	homogeneous	ADJ
ajst-30223	57	61	linear	linear	NOUN
ajst-30223	57	62	equation	equation	NOUN
ajst-30223	57	63	.	.	PUNCT
ajst-30223	58	1	1	1	NUM
ajst-30223	58	2	1dt	1dt	NOUN
ajst-30223	58	3	dt	dt	X
ajst-30223	58	4	e	e	X
ajst-30223	58	5	dt	dt	PROPN
ajst-30223	58	6	t	t	PROPN
ajst-30223	58	7	t	t	PROPN
ajst-30223	58	8	t	t	PROPN
ajst-30223	58	9	t	t	PROPN
ajst-30223	58	10	t	t	PROPN
ajst-30223	58	11	tq	tq	ADV
ajst-30223	58	12	ce	ce	PROPN
ajst-30223	58	13	e	e	X
ajst-30223	58	14	dt	dt	X
ajst-30223	58	15	ce	ce	PROPN
ajst-30223	58	16	e	e	PROPN
ajst-30223	58	17	e	e	X
ajst-30223	58	18	dt	dt	X
ajst-30223	58	19	ce	ce	PROPN
ajst-30223	58	20	e	e	X
ajst-30223	58	21	e	e	X
ajst-30223	58	22			NOUN
ajst-30223	58	23			X
ajst-30223	58	24			X
ajst-30223	58	25			X
ajst-30223	58	26			X
ajst-30223	58	27			X
ajst-30223	58	28			PROPN
ajst-30223	58	29			ADJ
ajst-30223	58	30			PROPN
ajst-30223	58	31			NOUN
ajst-30223	58	32			PUNCT
ajst-30223	58	33			VERB
ajst-30223	58	34			PROPN
ajst-30223	58	35			PROPN
ajst-30223	58	36			NOUN
ajst-30223	58	37			NOUN
ajst-30223	58	38			AUX
ajst-30223	58	39			PROPN
ajst-30223	58	40			PROPN
ajst-30223	58	41			PROPN
ajst-30223	58	42			NUM
ajst-30223	58	43			VERB
ajst-30223	58	44			NUM
ajst-30223	58	45			NOUN
ajst-30223	58	46			PUNCT
ajst-30223	58	47	(	(	PUNCT
ajst-30223	58	48	7	7	X
ajst-30223	58	49	)	)	PUNCT
ajst-30223	58	50	we	we	PRON
ajst-30223	58	51	need	need	VERB
ajst-30223	58	52	to	to	PART
ajst-30223	58	53	determine	determine	VERB
ajst-30223	58	54	c.	c.	NOUN
ajst-30223	58	55	setting	set	VERB
ajst-30223	58	56	q	q	NOUN
ajst-30223	58	57	=	=	PRON
ajst-30223	58	58	q0	q0	ADJ
ajst-30223	58	59	,	,	PUNCT
ajst-30223	58	60	t	t	PROPN
ajst-30223	58	61	=	=	SYM
ajst-30223	58	62	t0	t0	PROPN
ajst-30223	58	63	,	,	PUNCT
ajst-30223	58	64	we	we	PRON
ajst-30223	58	65	can	can	AUX
ajst-30223	58	66	derive	derive	VERB
ajst-30223	58	67	the	the	DET
ajst-30223	58	68	expression	expression	NOUN
ajst-30223	58	69	for	for	ADP
ajst-30223	58	70	c.	c.	NOUN
ajst-30223	58	71	0	0	PROPN
ajst-30223	58	72	0	0	NUM
ajst-30223	58	73	01	01	NUM
ajst-30223	58	74	0	0	NUM
ajst-30223	58	75	1	1	NUM
ajst-30223	58	76	t	t	NOUN
ajst-30223	58	77	t	t	NOUN
ajst-30223	58	78	tq	tq	ADV
ajst-30223	58	79	ce	ce	PROPN
ajst-30223	58	80	e	e	X
ajst-30223	58	81	e	e	X
ajst-30223	58	82			PROPN
ajst-30223	58	83			ADJ
ajst-30223	58	84			NOUN
ajst-30223	58	85			VERB
ajst-30223	58	86			NUM
ajst-30223	58	87			NOUN
ajst-30223	58	88			X
ajst-30223	58	89	(	(	PUNCT
ajst-30223	58	90	8)	8)	NUM
ajst-30223	58	91	00	00	NUM
ajst-30223	58	92	0	0	PUNCT
ajst-30223	59	1	tq	tq	ADP
ajst-30223	59	2	c	c	NOUN
ajst-30223	59	3	e	e	NOUN
ajst-30223	59	4	q	q	X
ajst-30223	59	5			PRON
ajst-30223	59	6			NOUN
ajst-30223	59	7			NOUN
ajst-30223	59	8			VERB
ajst-30223	59	9			NUM
ajst-30223	59	10	(	(	PUNCT
ajst-30223	59	11	9	9	NUM
ajst-30223	59	12	)	)	PUNCT
ajst-30223	59	13	substituting	substitute	VERB
ajst-30223	59	14	the	the	DET
ajst-30223	59	15	expression	expression	NOUN
ajst-30223	59	16	for	for	ADP
ajst-30223	59	17	c	c	NOUN
ajst-30223	59	18	yields	yield	NOUN
ajst-30223	59	19	the	the	DET
ajst-30223	59	20	following	follow	VERB
ajst-30223	59	21	result	result	NOUN
ajst-30223	59	22	:	:	PUNCT
ajst-30223	59	23	0	0	NUM
ajst-30223	59	24	0	0	NUM
ajst-30223	60	1	01	01	NUM
ajst-30223	60	2	0	0	NUM
ajst-30223	60	3	t	t	NOUN
ajst-30223	60	4	tq	tq	NOUN
ajst-30223	61	1	e	e	NOUN
ajst-30223	61	2	q	q	NOUN
ajst-30223	61	3	q	q	X
ajst-30223	61	4	q	q	X
ajst-30223	61	5			NOUN
ajst-30223	61	6			NUM
ajst-30223	61	7			PROPN
ajst-30223	61	8			NOUN
ajst-30223	61	9			NOUN
ajst-30223	61	10			PROPN
ajst-30223	61	11			ADV
ajst-30223	61	12			NUM
ajst-30223	61	13	（	（	PUNCT
ajst-30223	61	14	）	）	PUNCT
ajst-30223	61	15	(	(	PUNCT
ajst-30223	61	16	10	10	NUM
ajst-30223	61	17	)	)	PUNCT
ajst-30223	61	18	thus	thus	ADV
ajst-30223	61	19	,	,	PUNCT
ajst-30223	61	20	0	0	NUM
ajst-30223	61	21	10	10	NUM
ajst-30223	61	22	0	0	NUM
ajst-30223	61	23	0	0	NUM
ajst-30223	61	24	/	/	SYM
ajst-30223	61	25	/	/	SYM
ajst-30223	61	26	1	1	NUM
ajst-30223	61	27	/	/	SYM
ajst-30223	61	28	1	1	NUM
ajst-30223	61	29	/	/	SYM
ajst-30223	61	30	1	1	NUM
ajst-30223	61	31	)	)	PUNCT
ajst-30223	61	32	1	1	NUM
ajst-30223	61	33	t	t	NOUN
ajst-30223	61	34	t	t	NOUN
ajst-30223	61	35	t	t	PROPN
ajst-30223	61	36	tq	tq	INTJ
ajst-30223	61	37	q	q	PROPN
ajst-30223	61	38	e	e	X
ajst-30223	61	39	q	q	PROPN
ajst-30223	61	40	e	e	NOUN
ajst-30223	61	41			X
ajst-30223	61	42			X
ajst-30223	61	43			X
ajst-30223	61	44			X
ajst-30223	61	45			PROPN
ajst-30223	61	46			NOUN
ajst-30223	61	47			PROPN
ajst-30223	61	48			NOUN
ajst-30223	61	49			PROPN
ajst-30223	61	50			NUM
ajst-30223	61	51			PROPN
ajst-30223	61	52			PUNCT
ajst-30223	61	53			PROPN
ajst-30223	61	54			PROPN
ajst-30223	61	55			PROPN
ajst-30223	61	56			PROPN
ajst-30223	61	57			NUM
ajst-30223	61	58			ADJ
ajst-30223	61	59			NOUN
ajst-30223	61	60			NOUN
ajst-30223	61	61			ADV
ajst-30223	61	62	（	（	PUNCT
ajst-30223	62	1	）	）	PUNCT
ajst-30223	62	2	（	（	PUNCT
ajst-30223	63	1	）	）	PUNCT
ajst-30223	63	2	（	（	PUNCT
ajst-30223	63	3	(	(	PUNCT
ajst-30223	63	4	11	11	X
ajst-30223	63	5	)	)	PUNCT
ajst-30223	63	6	let	let	VERB
ajst-30223	63	7	1	1	NUM
ajst-30223	63	8	/k	/k	SYM
ajst-30223	63	9			NOUN
ajst-30223	63	10			VERB
ajst-30223	63	11	,	,	PUNCT
ajst-30223	63	12	1a	1a	X
ajst-30223	63	13			X
ajst-30223	63	14	,	,	PUNCT
ajst-30223	63	15	0	0	NUM
ajst-30223	63	16	1	1	NUM
ajst-30223	63	17	0	0	NUM
ajst-30223	63	18	(	(	PUNCT
ajst-30223	63	19	/	/	SYM
ajst-30223	63	20	1	1	NUM
ajst-30223	63	21	tb	tb	ADP
ajst-30223	63	22	q	q	PROPN
ajst-30223	63	23	e	e	PROPN
ajst-30223	63	24			VERB
ajst-30223	63	25			PROPN
ajst-30223	63	26	）	）	PUNCT
ajst-30223	63	27	then	then	ADV
ajst-30223	63	28	the	the	DET
ajst-30223	63	29	above	above	ADJ
ajst-30223	63	30	equation	equation	NOUN
ajst-30223	63	31	can	can	AUX
ajst-30223	63	32	be	be	AUX
ajst-30223	63	33	expressed	express	VERB
ajst-30223	63	34	as	as	ADP
ajst-30223	63	35	:	:	PUNCT
ajst-30223	63	36	1	1	NUM
ajst-30223	63	37	1	1	NUM
ajst-30223	63	38	11	11	NUM
ajst-30223	63	39	a	a	DET
ajst-30223	63	40	t	t	NOUN
ajst-30223	64	1	k	k	PROPN
ajst-30223	64	2	q	q	PROPN
ajst-30223	64	3	b	b	X
ajst-30223	64	4	e	e	PROPN
ajst-30223	64	5			X
ajst-30223	64	6	(	(	PUNCT
ajst-30223	64	7	12	12	NUM
ajst-30223	64	8	)	)	PUNCT
ajst-30223	64	9	equation	equation	NOUN
ajst-30223	64	10	(	(	PUNCT
ajst-30223	64	11	12	12	NUM
ajst-30223	64	12	)	)	PUNCT
ajst-30223	64	13	represents	represent	VERB
ajst-30223	64	14	the	the	DET
ajst-30223	64	15	water	water	NOUN
ajst-30223	64	16	inflow	inflow	NOUN
ajst-30223	64	17	growth	growth	NOUN
ajst-30223	64	18	curve	curve	NOUN
ajst-30223	64	19	model	model	NOUN
ajst-30223	64	20	derived	derive	VERB
ajst-30223	64	21	using	use	VERB
ajst-30223	64	22	the	the	DET
ajst-30223	64	23	logistic	logistic	ADJ
ajst-30223	64	24	growth	growth	NOUN
ajst-30223	64	25	curve	curve	NOUN
ajst-30223	64	26	model	model	NOUN
ajst-30223	64	27	,	,	PUNCT
ajst-30223	64	28	where	where	SCONJ
ajst-30223	64	29	k1	k1	PROPN
ajst-30223	64	30	denotes	denote	VERB
ajst-30223	64	31	the	the	DET
ajst-30223	64	32	maximum	maximum	ADJ
ajst-30223	64	33	value	value	NOUN
ajst-30223	64	34	of	of	ADP
ajst-30223	64	35	the	the	DET
ajst-30223	64	36	water	water	NOUN
ajst-30223	64	37	inflow	inflow	NOUN
ajst-30223	64	38	q.	q.	PROPN
ajst-30223	64	39	(	(	PUNCT
ajst-30223	64	40	2	2	X
ajst-30223	64	41	)	)	PUNCT
ajst-30223	64	42	modified	modify	VERB
ajst-30223	64	43	exponential	exponential	ADJ
ajst-30223	64	44	curve	curve	NOUN
ajst-30223	64	45	model	model	NOUN
ajst-30223	64	46	the	the	DET
ajst-30223	64	47	modified	modify	VERB
ajst-30223	64	48	exponential	exponential	ADJ
ajst-30223	64	49	curve	curve	NOUN
ajst-30223	64	50	model	model	NOUN
ajst-30223	64	51	,	,	PUNCT
ajst-30223	64	52	also	also	ADV
ajst-30223	64	53	known	know	VERB
ajst-30223	64	54	as	as	ADP
ajst-30223	64	55	the	the	DET
ajst-30223	64	56	simple	simple	ADJ
ajst-30223	64	57	extrapolation	extrapolation	NOUN
ajst-30223	64	58	method	method	NOUN
ajst-30223	64	59	,	,	PUNCT
ajst-30223	64	60	involves	involve	VERB
ajst-30223	64	61	fitting	fit	VERB
ajst-30223	64	62	a	a	DET
ajst-30223	64	63	curve	curve	NOUN
ajst-30223	64	64	based	base	VERB
ajst-30223	64	65	on	on	ADP
ajst-30223	64	66	exponential	exponential	ADJ
ajst-30223	64	67	functions	function	NOUN
ajst-30223	64	68	to	to	ADP
ajst-30223	64	69	the	the	DET
ajst-30223	64	70	past	past	ADJ
ajst-30223	64	71	measured	measure	VERB
ajst-30223	64	72	data	datum	NOUN
ajst-30223	64	73	of	of	ADP
ajst-30223	64	74	the	the	DET
ajst-30223	64	75	298	298	NUM
ajst-30223	64	76	object	object	NOUN
ajst-30223	64	77	being	be	AUX
ajst-30223	64	78	predicted	predict	VERB
ajst-30223	64	79	.	.	PUNCT
ajst-30223	65	1	this	this	PRON
ajst-30223	65	2	establishes	establish	VERB
ajst-30223	65	3	a	a	DET
ajst-30223	65	4	model	model	NOUN
ajst-30223	65	5	that	that	PRON
ajst-30223	65	6	can	can	AUX
ajst-30223	65	7	describe	describe	VERB
ajst-30223	65	8	the	the	DET
ajst-30223	65	9	development	development	NOUN
ajst-30223	65	10	of	of	ADP
ajst-30223	65	11	the	the	DET
ajst-30223	65	12	object	object	NOUN
ajst-30223	65	13	and	and	CCONJ
ajst-30223	65	14	allows	allow	VERB
ajst-30223	65	15	for	for	ADP
ajst-30223	65	16	predictions	prediction	NOUN
ajst-30223	65	17	by	by	ADP
ajst-30223	65	18	substituting	substitute	VERB
ajst-30223	65	19	in	in	ADP
ajst-30223	65	20	new	new	ADJ
ajst-30223	65	21	states	state	NOUN
ajst-30223	65	22	.	.	PUNCT
ajst-30223	66	1	the	the	DET
ajst-30223	66	2	condition	condition	NOUN
ajst-30223	66	3	for	for	ADP
ajst-30223	66	4	fitting	fit	VERB
ajst-30223	66	5	the	the	DET
ajst-30223	66	6	modified	modify	VERB
ajst-30223	66	7	exponential	exponential	ADJ
ajst-30223	66	8	curve	curve	NOUN
ajst-30223	66	9	model	model	NOUN
ajst-30223	66	10	is	be	AUX
ajst-30223	66	11	that	that	SCONJ
ajst-30223	66	12	the	the	DET
ajst-30223	66	13	development	development	NOUN
ajst-30223	66	14	process	process	NOUN
ajst-30223	66	15	of	of	ADP
ajst-30223	66	16	the	the	DET
ajst-30223	66	17	target	target	NOUN
ajst-30223	66	18	to	to	PART
ajst-30223	66	19	be	be	AUX
ajst-30223	66	20	calculated	calculate	VERB
ajst-30223	66	21	approximately	approximately	ADV
ajst-30223	66	22	follows	follow	VERB
ajst-30223	66	23	an	an	DET
ajst-30223	66	24	exponential	exponential	ADJ
ajst-30223	66	25	function	function	NOUN
ajst-30223	66	26	curve	curve	NOUN
ajst-30223	66	27	and	and	CCONJ
ajst-30223	66	28	does	do	AUX
ajst-30223	66	29	not	not	PART
ajst-30223	66	30	exhibit	exhibit	VERB
ajst-30223	66	31	sudden	sudden	ADJ
ajst-30223	66	32	changes	change	NOUN
ajst-30223	66	33	.	.	PUNCT
ajst-30223	67	1	this	this	DET
ajst-30223	67	2	model	model	NOUN
ajst-30223	67	3	can	can	AUX
ajst-30223	67	4	clearly	clearly	ADV
ajst-30223	67	5	be	be	AUX
ajst-30223	67	6	used	use	VERB
ajst-30223	67	7	for	for	ADP
ajst-30223	67	8	predicting	predict	VERB
ajst-30223	67	9	water	water	NOUN
ajst-30223	67	10	inflow	inflow	NOUN
ajst-30223	67	11	in	in	ADP
ajst-30223	67	12	mines	mine	NOUN
ajst-30223	67	13	.	.	PUNCT
ajst-30223	68	1	letting	let	VERB
ajst-30223	68	2	1	1	NUM
ajst-30223	68	3	1	1	NUM
ajst-30223	68	4	/	/	SYM
ajst-30223	68	5	q	q	NOUN
ajst-30223	68	6	q	q	ADJ
ajst-30223	68	7	,	,	PUNCT
ajst-30223	68	8	11	11	NUM
ajst-30223	68	9	/	/	SYM
ajst-30223	68	10	m	m	VERB
ajst-30223	68	11	m	m	NOUN
ajst-30223	68	12	,	,	PUNCT
ajst-30223	68	13	1	1	NUM
ajst-30223	68	14	/a	/a	SYM
ajst-30223	68	15	b	b	X
ajst-30223	68	16	k	k	ADJ
ajst-30223	68	17	,	,	PUNCT
ajst-30223	68	18	1ab	1ab	ADJ
ajst-30223	68	19	e	e	NOUN
ajst-30223	68	20	in	in	ADP
ajst-30223	68	21	equation	equation	NOUN
ajst-30223	68	22	(	(	PUNCT
ajst-30223	68	23	12	12	NUM
ajst-30223	68	24	)	)	PUNCT
ajst-30223	68	25	be	be	AUX
ajst-30223	68	26	represented	represent	VERB
ajst-30223	68	27	as	as	SCONJ
ajst-30223	68	28	follows	follow	VERB
ajst-30223	68	29	:	:	PUNCT
ajst-30223	68	30	1	1	NUM
ajst-30223	68	31	1	1	NUM
ajst-30223	68	32	1	1	NUM
ajst-30223	68	33	1	1	NUM
ajst-30223	68	34	1	1	NUM
ajst-30223	68	35	ta	ta	PART
ajst-30223	68	36	b	b	NOUN
ajst-30223	68	37	q	q	X
ajst-30223	68	38	k	k	PROPN
ajst-30223	68	39	k	k	PROPN
ajst-30223	68	40			PROPN
ajst-30223	68	41			PROPN
ajst-30223	68	42			NOUN
ajst-30223	68	43			PROPN
ajst-30223	68	44			PROPN
ajst-30223	68	45			PROPN
ajst-30223	68	46	(	(	PUNCT
ajst-30223	68	47	13	13	NUM
ajst-30223	68	48	)	)	PUNCT
ajst-30223	68	49	1	1	NUM
ajst-30223	68	50	tq	tq	ADP
ajst-30223	68	51	k	k	PROPN
ajst-30223	68	52	ab	ab	PROPN
ajst-30223	68	53			PROPN
ajst-30223	68	54	(	(	PUNCT
ajst-30223	68	55	14	14	NUM
ajst-30223	68	56	)	)	PUNCT
ajst-30223	68	57	equation	equation	NOUN
ajst-30223	68	58	(	(	PUNCT
ajst-30223	68	59	14	14	NUM
ajst-30223	68	60	)	)	PUNCT
ajst-30223	68	61	provides	provide	VERB
ajst-30223	68	62	the	the	DET
ajst-30223	68	63	model	model	NOUN
ajst-30223	68	64	for	for	ADP
ajst-30223	68	65	mine	mine	ADJ
ajst-30223	68	66	water	water	NOUN
ajst-30223	68	67	inflow	inflow	PROPN
ajst-30223	68	68	q1	q1	PROPN
ajst-30223	68	69	concerning	concern	VERB
ajst-30223	68	70	tt	tt	PRON
ajst-30223	68	71	derived	derive	VERB
ajst-30223	68	72	from	from	ADP
ajst-30223	68	73	the	the	DET
ajst-30223	68	74	modified	modify	VERB
ajst-30223	68	75	exponential	exponential	ADJ
ajst-30223	68	76	curve	curve	NOUN
ajst-30223	68	77	model	model	NOUN
ajst-30223	68	78	theory	theory	NOUN
ajst-30223	68	79	.	.	PUNCT
ajst-30223	69	1	(	(	PUNCT
ajst-30223	69	2	3	3	X
ajst-30223	69	3	)	)	PUNCT
ajst-30223	69	4	gompertz	gompertz	NOUN
ajst-30223	69	5	curve	curve	NOUN
ajst-30223	69	6	model	model	NOUN
ajst-30223	69	7	by	by	ADP
ajst-30223	69	8	letting	let	VERB
ajst-30223	69	9	yq	yq	PRON
ajst-30223	69	10	e	e	ADJ
ajst-30223	69	11	,	,	PUNCT
ajst-30223	69	12	2	2	NUM
ajst-30223	69	13	kk	kk	NOUN
ajst-30223	69	14	e	e	PROPN
ajst-30223	69	15	,	,	PUNCT
ajst-30223	69	16	aa	aa	PROPN
ajst-30223	69	17	e2	e2	PROPN
ajst-30223	69	18			PROPN
ajst-30223	69	19	,	,	PUNCT
ajst-30223	69	20	bb	bb	X
ajst-30223	69	21	2	2	ADP
ajst-30223	69	22	in	in	ADP
ajst-30223	69	23	equation	equation	NOUN
ajst-30223	69	24	(	(	PUNCT
ajst-30223	69	25	14	14	NUM
ajst-30223	69	26	)	)	PUNCT
ajst-30223	69	27	,	,	PUNCT
ajst-30223	69	28	we	we	PRON
ajst-30223	69	29	can	can	AUX
ajst-30223	69	30	derive	derive	VERB
ajst-30223	69	31	the	the	DET
ajst-30223	69	32	formula	formula	NOUN
ajst-30223	69	33	:	:	PUNCT
ajst-30223	69	34	2	2	NUM
ajst-30223	69	35	3	3	NUM
ajst-30223	69	36	2	2	NUM
ajst-30223	69	37	2	2	NUM
ajst-30223	69	38	tbq	tbq	NOUN
ajst-30223	69	39	k	k	PROPN
ajst-30223	69	40	a	a	NOUN
ajst-30223	69	41	(	(	PUNCT
ajst-30223	69	42	15	15	NUM
ajst-30223	69	43	)	)	PUNCT
ajst-30223	69	44	this	this	PRON
ajst-30223	69	45	represents	represent	VERB
ajst-30223	69	46	the	the	DET
ajst-30223	69	47	mine	mine	ADJ
ajst-30223	69	48	water	water	NOUN
ajst-30223	69	49	inflow	inflow	NOUN
ajst-30223	69	50	q3	q3	PROPN
ajst-30223	69	51	concerning	concern	VERB
ajst-30223	69	52	time	time	NOUN
ajst-30223	69	53	tt	tt	PROPN
ajst-30223	69	54	obtained	obtain	VERB
ajst-30223	69	55	using	use	VERB
ajst-30223	69	56	the	the	DET
ajst-30223	69	57	gompertz	gompertz	NOUN
ajst-30223	69	58	curve	curve	NOUN
ajst-30223	69	59	model	model	NOUN
ajst-30223	69	60	theory	theory	NOUN
ajst-30223	69	61	.	.	PUNCT
ajst-30223	70	1	using	use	VERB
ajst-30223	70	2	the	the	DET
ajst-30223	70	3	known	know	VERB
ajst-30223	70	4	data	datum	NOUN
ajst-30223	70	5	on	on	ADP
ajst-30223	70	6	mine	mine	ADJ
ajst-30223	70	7	water	water	NOUN
ajst-30223	70	8	inflow	inflow	NOUN
ajst-30223	70	9	,	,	PUNCT
ajst-30223	70	10	we	we	PRON
ajst-30223	70	11	can	can	AUX
ajst-30223	70	12	solve	solve	VERB
ajst-30223	70	13	the	the	DET
ajst-30223	70	14	aforementioned	aforementioned	ADJ
ajst-30223	70	15	three	three	NUM
ajst-30223	70	16	curve	curve	NOUN
ajst-30223	70	17	models	model	NOUN
ajst-30223	70	18	and	and	CCONJ
ajst-30223	70	19	predict	predict	VERB
ajst-30223	70	20	mine	mine	ADJ
ajst-30223	70	21	water	water	NOUN
ajst-30223	70	22	inflow	inflow	NOUN
ajst-30223	70	23	based	base	VERB
ajst-30223	70	24	on	on	ADP
ajst-30223	70	25	their	their	PRON
ajst-30223	70	26	respective	respective	ADJ
ajst-30223	70	27	solutions	solution	NOUN
ajst-30223	70	28	.	.	PUNCT
ajst-30223	71	1	3.2.2	3.2.2	X
ajst-30223	71	2	.	.	PUNCT
ajst-30223	71	3	curve	curve	NOUN
ajst-30223	71	4	model	model	NOUN
ajst-30223	71	5	calculation	calculation	NOUN
ajst-30223	71	6	(	(	PUNCT
ajst-30223	71	7	1	1	NUM
ajst-30223	71	8	)	)	PUNCT
ajst-30223	71	9	solution	solution	NOUN
ajst-30223	71	10	of	of	ADP
ajst-30223	71	11	the	the	DET
ajst-30223	71	12	modified	modify	VERB
ajst-30223	71	13	exponential	exponential	ADJ
ajst-30223	71	14	curve	curve	NOUN
ajst-30223	71	15	model	model	NOUN
ajst-30223	71	16	the	the	DET
ajst-30223	71	17	mine	mine	ADJ
ajst-30223	71	18	water	water	NOUN
ajst-30223	71	19	inflow	inflow	NOUN
ajst-30223	71	20	q	q	NOUN
ajst-30223	71	21	changes	change	NOUN
ajst-30223	71	22	with	with	ADP
ajst-30223	71	23	time	time	NOUN
ajst-30223	71	24	t.	t.	PROPN
ajst-30223	71	25	let	let	VERB
ajst-30223	71	26	the	the	DET
ajst-30223	71	27	water	water	NOUN
ajst-30223	71	28	inflow	inflow	NOUN
ajst-30223	71	29	sequence	sequence	NOUN
ajst-30223	71	30	be	be	VERB
ajst-30223	71	31	qt	qt	NOUN
ajst-30223	71	32	,	,	PUNCT
ajst-30223	71	33	t	t	PROPN
ajst-30223	71	34	=	=	VERB
ajst-30223	71	35	t1,t2、t3	t1,t2、t3	PROPN
ajst-30223	71	36	....	....	PUNCT
ajst-30223	71	37	tn	tn	PROPN
ajst-30223	71	38	.	.	PUNCT
ajst-30223	71	39	to	to	PART
ajst-30223	71	40	solve	solve	VERB
ajst-30223	71	41	for	for	ADP
ajst-30223	71	42	parameters	parameter	NOUN
ajst-30223	71	43	a	a	DET
ajst-30223	71	44	,	,	PUNCT
ajst-30223	71	45	b	b	NOUN
ajst-30223	71	46	,	,	PUNCT
ajst-30223	71	47	and	and	CCONJ
ajst-30223	71	48	k	k	NOUN
ajst-30223	71	49	,	,	PUNCT
ajst-30223	71	50	we	we	PRON
ajst-30223	71	51	can	can	AUX
ajst-30223	71	52	use	use	VERB
ajst-30223	71	53	the	the	DET
ajst-30223	71	54	three	three	NUM
ajst-30223	71	55	-	-	PUNCT
ajst-30223	71	56	segment	segment	NOUN
ajst-30223	71	57	method	method	NOUN
ajst-30223	71	58	,	,	PUNCT
ajst-30223	71	59	yielding	yield	VERB
ajst-30223	71	60	k=487.8	k=487.8	NOUN
ajst-30223	71	61	,	,	PUNCT
ajst-30223	71	62	a=−451.19	a=−451.19	NOUN
ajst-30223	71	63	,	,	PUNCT
ajst-30223	71	64	and	and	CCONJ
ajst-30223	71	65	b=0.79	b=0.79	PROPN
ajst-30223	71	66	.	.	PUNCT
ajst-30223	72	1	this	this	PRON
ajst-30223	72	2	leads	lead	VERB
ajst-30223	72	3	to	to	ADP
ajst-30223	72	4	the	the	DET
ajst-30223	72	5	modified	modify	VERB
ajst-30223	72	6	exponential	exponential	ADJ
ajst-30223	72	7	curve	curve	NOUN
ajst-30223	72	8	equation	equation	NOUN
ajst-30223	72	9	:	:	PUNCT
ajst-30223	72	10	1	1	NUM
ajst-30223	72	11	487.8	487.8	NUM
ajst-30223	72	12	451.19	451.19	NUM
ajst-30223	72	13	0.79tq	0.79tq	NUM
ajst-30223	73	1			PROPN
ajst-30223	73	2			PROPN
ajst-30223	73	3			NOUN
ajst-30223	73	4	(	(	PUNCT
ajst-30223	73	5	16	16	NUM
ajst-30223	73	6	)	)	PUNCT
ajst-30223	73	7	the	the	DET
ajst-30223	73	8	solution	solution	NOUN
ajst-30223	73	9	process	process	NOUN
ajst-30223	73	10	for	for	ADP
ajst-30223	73	11	the	the	DET
ajst-30223	73	12	logistic	logistic	ADJ
ajst-30223	73	13	growth	growth	NOUN
ajst-30223	73	14	curve	curve	NOUN
ajst-30223	73	15	model	model	NOUN
ajst-30223	73	16	is	be	AUX
ajst-30223	73	17	similar	similar	ADJ
ajst-30223	73	18	to	to	ADP
ajst-30223	73	19	that	that	PRON
ajst-30223	73	20	of	of	ADP
ajst-30223	73	21	the	the	DET
ajst-30223	73	22	modified	modify	VERB
ajst-30223	73	23	exponential	exponential	ADJ
ajst-30223	73	24	model	model	NOUN
ajst-30223	73	25	,	,	PUNCT
ajst-30223	73	26	where	where	SCONJ
ajst-30223	73	27	we	we	PRON
ajst-30223	73	28	solve	solve	VERB
ajst-30223	73	29	for	for	ADP
ajst-30223	73	30	parameters	parameter	NOUN
ajst-30223	73	31	k1	k1	NOUN
ajst-30223	73	32	,	,	PUNCT
ajst-30223	73	33	a1	a1	NOUN
ajst-30223	73	34	,	,	PUNCT
ajst-30223	73	35	and	and	CCONJ
ajst-30223	73	36	b1	b1	NOUN
ajst-30223	73	37	.	.	PUNCT
ajst-30223	74	1	we	we	PRON
ajst-30223	74	2	find	find	VERB
ajst-30223	74	3	k1=492.31	k1=492.31	NOUN
ajst-30223	74	4	,	,	PUNCT
ajst-30223	74	5	a1=0.36	a1=0.36	NOUN
ajst-30223	74	6	,	,	PUNCT
ajst-30223	74	7	and	and	CCONJ
ajst-30223	74	8	b1=3.11	b1=3.11	PROPN
ajst-30223	74	9	.	.	PUNCT
ajst-30223	75	1	by	by	ADP
ajst-30223	75	2	substituting	substitute	VERB
ajst-30223	75	3	the	the	DET
ajst-30223	75	4	observed	observe	VERB
ajst-30223	75	5	water	water	NOUN
ajst-30223	75	6	inflow	inflow	NOUN
ajst-30223	75	7	data	datum	NOUN
ajst-30223	75	8	from	from	ADP
ajst-30223	75	9	recent	recent	ADJ
ajst-30223	75	10	years	year	NOUN
ajst-30223	75	11	into	into	ADP
ajst-30223	75	12	the	the	DET
ajst-30223	75	13	above	above	ADJ
ajst-30223	75	14	equation	equation	NOUN
ajst-30223	75	15	,	,	PUNCT
ajst-30223	75	16	we	we	PRON
ajst-30223	75	17	obtain	obtain	VERB
ajst-30223	75	18	:	:	PUNCT
ajst-30223	75	19	2	2	NUM
ajst-30223	75	20	0.36	0.36	NUM
ajst-30223	75	21	492.31	492.31	NUM
ajst-30223	75	22	1	1	NUM
ajst-30223	75	23	3.11	3.11	NUM
ajst-30223	75	24	t	t	NOUN
ajst-30223	75	25	q	q	PROPN
ajst-30223	75	26	e	e	PROPN
ajst-30223	75	27			X
ajst-30223	75	28	(	(	PUNCT
ajst-30223	75	29	17	17	NUM
ajst-30223	75	30	)	)	PUNCT
ajst-30223	75	31	the	the	DET
ajst-30223	75	32	solution	solution	NOUN
ajst-30223	75	33	process	process	NOUN
ajst-30223	75	34	for	for	ADP
ajst-30223	75	35	the	the	DET
ajst-30223	75	36	gompertz	gompertz	NOUN
ajst-30223	75	37	growth	growth	NOUN
ajst-30223	75	38	curve	curve	NOUN
ajst-30223	75	39	model	model	NOUN
ajst-30223	75	40	follows	follow	VERB
ajst-30223	75	41	the	the	DET
ajst-30223	75	42	same	same	ADJ
ajst-30223	75	43	method	method	NOUN
ajst-30223	75	44	as	as	ADP
ajst-30223	75	45	that	that	PRON
ajst-30223	75	46	of	of	ADP
ajst-30223	75	47	the	the	DET
ajst-30223	75	48	modified	modify	VERB
ajst-30223	75	49	exponential	exponential	ADJ
ajst-30223	75	50	model	model	NOUN
ajst-30223	75	51	.	.	PUNCT
ajst-30223	76	1	we	we	PRON
ajst-30223	76	2	solve	solve	VERB
ajst-30223	76	3	for	for	ADP
ajst-30223	76	4	parameters	parameter	NOUN
ajst-30223	76	5	k2	k2	PROPN
ajst-30223	76	6	,	,	PUNCT
ajst-30223	76	7	a2	a2	PROPN
ajst-30223	76	8	,	,	PUNCT
ajst-30223	76	9	and	and	CCONJ
ajst-30223	76	10	b2	b2	NOUN
ajst-30223	76	11	,	,	PUNCT
ajst-30223	76	12	finding	find	VERB
ajst-30223	76	13	k2=491.7	k2=491.7	PROPN
ajst-30223	76	14	,	,	PUNCT
ajst-30223	76	15	a2=0.2033	a2=0.2033	PROPN
ajst-30223	76	16	,	,	PUNCT
ajst-30223	76	17	and	and	CCONJ
ajst-30223	76	18	b2=0.7533	b2=0.7533	PROPN
ajst-30223	76	19	.	.	PUNCT
ajst-30223	77	1	substituting	substitute	VERB
ajst-30223	77	2	the	the	DET
ajst-30223	77	3	observed	observe	VERB
ajst-30223	77	4	water	water	NOUN
ajst-30223	77	5	inflow	inflow	NOUN
ajst-30223	77	6	data	datum	NOUN
ajst-30223	77	7	from	from	ADP
ajst-30223	77	8	recent	recent	ADJ
ajst-30223	77	9	years	year	NOUN
ajst-30223	77	10	into	into	ADP
ajst-30223	77	11	the	the	DET
ajst-30223	77	12	above	above	ADJ
ajst-30223	77	13	equation	equation	NOUN
ajst-30223	77	14	yields	yield	NOUN
ajst-30223	77	15	:	:	PUNCT
ajst-30223	77	16	0.7533	0.7533	NUM
ajst-30223	77	17	3	3	NUM
ajst-30223	77	18	491.7	491.7	NUM
ajst-30223	77	19	0.2033	0.2033	NUM
ajst-30223	77	20	t	t	NOUN
ajst-30223	77	21	q	q	NOUN
ajst-30223	77	22			NUM
ajst-30223	77	23			NOUN
ajst-30223	77	24	(	(	PUNCT
ajst-30223	77	25	18	18	NUM
ajst-30223	77	26	)	)	PUNCT
ajst-30223	77	27	using	use	VERB
ajst-30223	77	28	the	the	DET
ajst-30223	77	29	modified	modify	VERB
ajst-30223	77	30	exponential	exponential	ADJ
ajst-30223	77	31	model	model	NOUN
ajst-30223	77	32	for	for	ADP
ajst-30223	77	33	prediction	prediction	NOUN
ajst-30223	77	34	and	and	CCONJ
ajst-30223	77	35	analyzing	analyze	VERB
ajst-30223	77	36	the	the	DET
ajst-30223	77	37	results	result	NOUN
ajst-30223	77	38	,	,	PUNCT
ajst-30223	77	39	the	the	DET
ajst-30223	77	40	results	result	NOUN
ajst-30223	77	41	are	be	AUX
ajst-30223	77	42	shown	show	VERB
ajst-30223	77	43	in	in	ADP
ajst-30223	77	44	table	table	NOUN
ajst-30223	77	45	4	4	NUM
ajst-30223	77	46	.	.	PUNCT
ajst-30223	77	47	table	table	NOUN
ajst-30223	77	48	4	4	NUM
ajst-30223	77	49	.	.	PUNCT
ajst-30223	78	1	analysis	analysis	NOUN
ajst-30223	78	2	of	of	ADP
ajst-30223	78	3	predicted	predict	VERB
ajst-30223	78	4	values	value	NOUN
ajst-30223	78	5	using	use	VERB
ajst-30223	78	6	modified	modify	VERB
ajst-30223	78	7	exponential	exponential	ADJ
ajst-30223	78	8	model	model	NOUN
ajst-30223	78	9	model	model	PROPN
ajst-30223	78	10	particular	particular	ADJ
ajst-30223	78	11	year	year	NOUN
ajst-30223	78	12	actual	actual	ADJ
ajst-30223	78	13	value	value	NOUN
ajst-30223	78	14	(	(	PUNCT
ajst-30223	78	15	m3ꞏh-1	m3ꞏh-1	NOUN
ajst-30223	78	16	)	)	PUNCT
ajst-30223	78	17	predicted	predict	VERB
ajst-30223	78	18	value	value	NOUN
ajst-30223	78	19	(	(	PUNCT
ajst-30223	78	20	m3ꞏh-1	m3ꞏh-1	NOUN
ajst-30223	78	21	)	)	PUNCT
ajst-30223	78	22	absolute	absolute	ADJ
ajst-30223	78	23	error	error	NOUN
ajst-30223	78	24	(	(	PUNCT
ajst-30223	78	25	m3ꞏh-1	m3ꞏh-1	NOUN
ajst-30223	78	26	)	)	PUNCT
ajst-30223	78	27	relative	relative	ADJ
ajst-30223	78	28	error	error	NOUN
ajst-30223	78	29	(	(	PUNCT
ajst-30223	78	30	%	%	INTJ
ajst-30223	78	31	)	)	PUNCT
ajst-30223	78	32	precision	precision	NOUN
ajst-30223	78	33	(	(	PUNCT
ajst-30223	78	34	%	%	INTJ
ajst-30223	78	35	)	)	PUNCT
ajst-30223	78	36	modified	modify	VERB
ajst-30223	78	37	exponential	exponential	ADJ
ajst-30223	78	38	model	model	NOUN
ajst-30223	78	39	2016	2016	NUM
ajst-30223	78	40	145.11	145.11	NUM
ajst-30223	78	41	131.36	131.36	NUM
ajst-30223	78	42	13.75	13.75	NUM
ajst-30223	78	43	0.094755703	0.094755703	NUM
ajst-30223	78	44	0.905244297	0.905244297	NUM
ajst-30223	78	45	2017	2017	NUM
ajst-30223	78	46	223.58	223.58	NUM
ajst-30223	78	47	206.21	206.21	NUM
ajst-30223	78	48	17.37	17.37	NUM
ajst-30223	78	49	0.077690312	0.077690312	NUM
ajst-30223	78	50	0.922309688	0.922309688	NUM
ajst-30223	78	51	2018	2018	NUM
ajst-30223	78	52	226.30	226.30	NUM
ajst-30223	78	53	265.35	265.35	NUM
ajst-30223	78	54	39.05	39.05	NUM
ajst-30223	78	55	0.172558551	0.172558551	NUM
ajst-30223	78	56	0.852835877	0.852835877	NUM
ajst-30223	78	57	2019	2019	NUM
ajst-30223	78	58	233.99	233.99	NUM
ajst-30223	78	59	312.06	312.06	NUM
ajst-30223	78	60	78.07	78.07	NUM
ajst-30223	78	61	0.333646737	0.333646737	NUM
ajst-30223	78	62	0.749823752	0.749823752	NUM
ajst-30223	78	63	2020	2020	NUM
ajst-30223	78	64	338.98	338.98	NUM
ajst-30223	78	65	348.97	348.97	NUM
ajst-30223	78	66	9.99	9.99	NUM
ajst-30223	78	67	0.029470765	0.029470765	NUM
ajst-30223	78	68	0.971372897	0.971372897	NUM
ajst-30223	78	69	2021	2021	NUM
ajst-30223	78	70	455.92	455.92	NUM
ajst-30223	79	1	378.12	378.12	NUM
ajst-30223	79	2	77.8	77.8	NUM
ajst-30223	79	3	0.170643973	0.170643973	NUM
ajst-30223	79	4	0.829356027	0.829356027	NUM
ajst-30223	79	5	2022	2022	NUM
ajst-30223	79	6	403.67	403.67	NUM
ajst-30223	79	7	401.15	401.15	NUM
ajst-30223	79	8	2.52	2.52	NUM
ajst-30223	79	9	0.006242723	0.006242723	NUM
ajst-30223	79	10	0.993757277	0.993757277	NUM
ajst-30223	79	11	2023	2023	NUM
ajst-30223	79	12	437.67	437.67	NUM
ajst-30223	79	13	419.34	419.34	NUM
ajst-30223	79	14	18.33	18.33	NUM
ajst-30223	79	15	0.041880869	0.041880869	NUM
ajst-30223	79	16	0.958119131	0.958119131	NUM
ajst-30223	79	17	2024	2024	NUM
ajst-30223	79	18	404.58	404.58	NUM
ajst-30223	79	19	433.72	433.72	NUM
ajst-30223	79	20	29.14	29.14	NUM
ajst-30223	79	21	0.07202531	0.07202531	NUM
ajst-30223	79	22	0.932813797	0.932813797	NUM
ajst-30223	79	23	logistic	logistic	ADJ
ajst-30223	79	24	growth	growth	NOUN
ajst-30223	79	25	model	model	NOUN
ajst-30223	79	26	2016	2016	NUM
ajst-30223	79	27	145.11	145.11	NUM
ajst-30223	79	28	155.31	155.31	NUM
ajst-30223	79	29	10.2	10.2	NUM
ajst-30223	79	30	0.070291503	0.070291503	NUM
ajst-30223	79	31	0.934324899	0.934324899	NUM
ajst-30223	79	32	2017	2017	NUM
ajst-30223	79	33	223.58	223.58	NUM
ajst-30223	79	34	195.84	195.84	NUM
ajst-30223	79	35	27.74	27.74	NUM
ajst-30223	79	36	0.124071921	0.124071921	NUM
ajst-30223	79	37	0.875928079	0.875928079	NUM
ajst-30223	79	38	2018	2018	NUM
ajst-30223	79	39	226.30	226.30	NUM
ajst-30223	79	40	239.43	239.43	NUM
ajst-30223	79	41	13.13	13.13	NUM
ajst-30223	79	42	0.058020327	0.058020327	NUM
ajst-30223	79	43	0.945161425	0.945161425	NUM
ajst-30223	79	44	2019	2019	NUM
ajst-30223	80	1	233.99	233.99	NUM
ajst-30223	80	2	283.45	283.45	NUM
ajst-30223	80	3	49.46	49.46	NUM
ajst-30223	80	4	0.211376555	0.211376555	NUM
ajst-30223	80	5	0.825507144	0.825507144	NUM
ajst-30223	80	6	2020	2020	NUM
ajst-30223	80	7	338.98	338.98	NUM
ajst-30223	80	8	325.15	325.15	NUM
ajst-30223	80	9	13.83	13.83	NUM
ajst-30223	80	10	0.040798867	0.040798867	NUM
ajst-30223	80	11	0.959201133	0.959201133	NUM
ajst-30223	80	12	2021	2021	NUM
ajst-30223	80	13	455.92	455.92	NUM
ajst-30223	80	14	362.35	362.35	NUM
ajst-30223	80	15	93.57	93.57	NUM
ajst-30223	80	16	0.205233374	0.205233374	NUM
ajst-30223	80	17	0.794766626	0.794766626	NUM
ajst-30223	80	18	2022	2022	NUM
ajst-30223	80	19	403.67	403.67	NUM
ajst-30223	80	20	393.78	393.78	NUM
ajst-30223	80	21	9.89	9.89	NUM
ajst-30223	80	22	0.024500211	0.024500211	NUM
ajst-30223	80	23	0.975499789	0.975499789	NUM
ajst-30223	80	24	2023	2023	NUM
ajst-30223	80	25	437.67	437.67	NUM
ajst-30223	80	26	419.14	419.14	NUM
ajst-30223	80	27	18.53	18.53	NUM
ajst-30223	80	28	0.042337834	0.042337834	NUM
ajst-30223	80	29	0.957662166	0.957662166	NUM
ajst-30223	80	30	2024	2024	NUM
ajst-30223	80	31	404.58	404.58	NUM
ajst-30223	80	32	438.86	438.86	NUM
ajst-30223	80	33	34.28	34.28	NUM
ajst-30223	80	34	0.084729843	0.084729843	NUM
ajst-30223	80	35	0.921888529	0.921888529	NUM
ajst-30223	80	36	gompertz	gompertz	PROPN
ajst-30223	80	37	growth	growth	NOUN
ajst-30223	80	38	model	model	NOUN
ajst-30223	80	39	2016	2016	NUM
ajst-30223	80	40	145.11	145.11	NUM
ajst-30223	80	41	148.09	148.09	NUM
ajst-30223	80	42	2.98	2.98	NUM
ajst-30223	80	43	0.020536145	0.020536145	NUM
ajst-30223	80	44	0.979877102	0.979877102	NUM
ajst-30223	80	45	2017	2017	NUM
ajst-30223	80	46	223.58	223.58	NUM
ajst-30223	80	47	199.11	199.11	NUM
ajst-30223	80	48	24.47	24.47	NUM
ajst-30223	80	49	0.109446283	0.109446283	NUM
ajst-30223	80	50	0.890553717	0.890553717	NUM
ajst-30223	80	51	2018	2018	NUM
ajst-30223	80	52	226.30	226.30	NUM
ajst-30223	80	53	248.86	248.86	NUM
ajst-30223	80	54	22.56	22.56	NUM
ajst-30223	80	55	0.099690676	0.099690676	NUM
ajst-30223	80	56	0.909346621	0.909346621	NUM
ajst-30223	80	57	2019	2019	NUM
ajst-30223	80	58	233.99	233.99	NUM
ajst-30223	80	59	294.38	294.38	NUM
ajst-30223	80	60	60.39	60.39	NUM
ajst-30223	80	61	0.258087952	0.258087952	NUM
ajst-30223	80	62	0.794856988	0.794856988	NUM
ajst-30223	80	63	2020	2020	NUM
ajst-30223	80	64	338.98	338.98	NUM
ajst-30223	80	65	334.11	334.11	NUM
ajst-30223	80	66	4.87	4.87	NUM
ajst-30223	80	67	0.014366629	0.014366629	NUM
ajst-30223	80	68	0.985633371	0.985633371	NUM
ajst-30223	80	69	2021	2021	NUM
ajst-30223	80	70	455.92	455.92	NUM
ajst-30223	80	71	367.52	367.52	NUM
ajst-30223	80	72	88.4	88.4	NUM
ajst-30223	80	73	0.193893666	0.193893666	NUM
ajst-30223	80	74	0.806106334	0.806106334	NUM
ajst-30223	80	75	2022	2022	NUM
ajst-30223	80	76	403.67	403.67	NUM
ajst-30223	80	77	394.88	394.88	NUM
ajst-30223	80	78	8.79	8.79	NUM
ajst-30223	80	79	0.021775212	0.021775212	NUM
ajst-30223	80	80	0.978224788	0.978224788	NUM
ajst-30223	80	81	2023	2023	NUM
ajst-30223	80	82	437.67	437.67	NUM
ajst-30223	80	83	416.83	416.83	NUM
ajst-30223	80	84	20.84	20.84	NUM
ajst-30223	80	85	0.047615784	0.047615784	NUM
ajst-30223	80	86	0.952384216	0.952384216	NUM
ajst-30223	80	87	2024	2024	NUM
ajst-30223	80	88	404.58	404.58	NUM
ajst-30223	80	89	434.17	434.17	NUM
ajst-30223	80	90	29.59	29.59	NUM
ajst-30223	80	91	0.073137575	0.073137575	NUM
ajst-30223	80	92	0.931846972	0.931846972	NUM
ajst-30223	80	93	299	299	NUM
ajst-30223	80	94	model	model	NOUN
ajst-30223	80	95	predicts	predict	VERB
ajst-30223	80	96	the	the	DET
ajst-30223	80	97	normal	normal	ADJ
ajst-30223	80	98	water	water	NOUN
ajst-30223	80	99	inflow	inflow	NOUN
ajst-30223	80	100	and	and	CCONJ
ajst-30223	80	101	the	the	DET
ajst-30223	80	102	maximum	maximum	ADJ
ajst-30223	80	103	water	water	NOUN
ajst-30223	80	104	inflow	inflow	NOUN
ajst-30223	80	105	(	(	PUNCT
ajst-30223	80	106	calculated	calculate	VERB
ajst-30223	80	107	as	as	ADP
ajst-30223	80	108	1.3	1.3	NUM
ajst-30223	80	109	times	time	NOUN
ajst-30223	80	110	the	the	DET
ajst-30223	80	111	normal	normal	ADJ
ajst-30223	80	112	inflow	inflow	NOUN
ajst-30223	80	113	)	)	PUNCT
ajst-30223	80	114	for	for	ADP
ajst-30223	80	115	the	the	DET
ajst-30223	80	116	coal	coal	NOUN
ajst-30223	80	117	mine	mine	NOUN
ajst-30223	80	118	over	over	ADP
ajst-30223	80	119	the	the	DET
ajst-30223	80	120	next	next	ADJ
ajst-30223	80	121	five	five	NUM
ajst-30223	80	122	years	year	NOUN
ajst-30223	80	123	,	,	PUNCT
ajst-30223	80	124	as	as	SCONJ
ajst-30223	80	125	presented	present	VERB
ajst-30223	80	126	in	in	ADP
ajst-30223	80	127	table	table	NOUN
ajst-30223	80	128	5	5	NUM
ajst-30223	80	129	.	.	PUNCT
ajst-30223	80	130	table	table	NOUN
ajst-30223	80	131	5	5	NUM
ajst-30223	80	132	.	.	PUNCT
ajst-30223	80	133	prediction	prediction	NOUN
ajst-30223	80	134	results	result	NOUN
ajst-30223	80	135	of	of	ADP
ajst-30223	80	136	modified	modify	VERB
ajst-30223	80	137	exponential	exponential	ADJ
ajst-30223	80	138	model	model	NOUN
ajst-30223	80	139	for	for	ADP
ajst-30223	80	140	2025	2025	NUM
ajst-30223	80	141	-	-	SYM
ajst-30223	80	142	2029	2029	NUM
ajst-30223	80	143	model	model	NOUN
ajst-30223	80	144	particular	particular	ADJ
ajst-30223	80	145	year	year	NOUN
ajst-30223	80	146	normal	normal	ADJ
ajst-30223	80	147	water	water	NOUN
ajst-30223	80	148	inflow	inflow	NOUN
ajst-30223	80	149	(	(	PUNCT
ajst-30223	80	150	m3ꞏh-1	m3ꞏh-1	NOUN
ajst-30223	80	151	)	)	PUNCT
ajst-30223	80	152	maximum	maximum	ADJ
ajst-30223	80	153	water	water	NOUN
ajst-30223	80	154	inflow	inflow	NOUN
ajst-30223	80	155	(	(	PUNCT
ajst-30223	80	156	m3ꞏh-1	m3ꞏh-1	NOUN
ajst-30223	80	157	)	)	PUNCT
ajst-30223	80	158	modified	modify	VERB
ajst-30223	80	159	exponential	exponential	ADJ
ajst-30223	80	160	model	model	NOUN
ajst-30223	80	161	2025	2025	NUM
ajst-30223	80	162	445.08	445.08	NUM
ajst-30223	80	163	578.604	578.604	NUM
ajst-30223	80	164	2026	2026	NUM
ajst-30223	80	165	454.05	454.05	NUM
ajst-30223	80	166	590.265	590.265	NUM
ajst-30223	80	167	2027	2027	NUM
ajst-30223	80	168	461.14	461.14	NUM
ajst-30223	80	169	599.482	599.482	NUM
ajst-30223	80	170	2028	2028	NUM
ajst-30223	80	171	466.74	466.74	NUM
ajst-30223	80	172	606.762	606.762	NUM
ajst-30223	80	173	2029	2029	NUM
ajst-30223	80	174	471.16	471.16	NUM
ajst-30223	80	175	612.508	612.508	NUM
ajst-30223	80	176	logistic	logistic	ADJ
ajst-30223	80	177	growth	growth	NOUN
ajst-30223	80	178	model	model	NOUN
ajst-30223	80	179	2025	2025	NUM
ajst-30223	80	180	453.75	453.75	NUM
ajst-30223	80	181	589.875	589.875	NUM
ajst-30223	80	182	2026	2026	NUM
ajst-30223	80	183	464.76	464.76	NUM
ajst-30223	80	184	604.188	604.188	NUM
ajst-30223	80	185	2027	2027	NUM
ajst-30223	80	186	472.76	472.76	NUM
ajst-30223	80	187	614.588	614.588	NUM
ajst-30223	80	188	2028	2028	NUM
ajst-30223	80	189	478.50	478.50	NUM
ajst-30223	80	190	622.05	622.05	NUM
ajst-30223	80	191	2029	2029	NUM
ajst-30223	80	192	482.60	482.60	NUM
ajst-30223	80	193	627.38	627.38	NUM
ajst-30223	80	194	gompertz	gompertz	NOUN
ajst-30223	80	195	growth	growth	NOUN
ajst-30223	80	196	model	model	NOUN
ajst-30223	80	197	2025	2025	NUM
ajst-30223	80	198	447.71	447.71	NUM
ajst-30223	80	199	582.023	582.023	NUM
ajst-30223	80	200	2026	2026	NUM
ajst-30223	80	201	458.18	458.18	NUM
ajst-30223	80	202	595.634	595.634	NUM
ajst-30223	80	203	2027	2027	NUM
ajst-30223	80	204	466.23	466.23	NUM
ajst-30223	80	205	606.099	606.099	NUM
ajst-30223	80	206	2028	2028	NUM
ajst-30223	80	207	472.39	472.39	NUM
ajst-30223	80	208	614.107	614.107	NUM
ajst-30223	80	209	2029	2029	NUM
ajst-30223	80	210	477.08	477.08	NUM
ajst-30223	80	211	620.204	620.204	NUM
ajst-30223	80	212	3.3	3.3	NUM
ajst-30223	80	213	.	.	PUNCT
ajst-30223	81	1	optimal	optimal	ADJ
ajst-30223	81	2	weighted	weight	VERB
ajst-30223	81	3	coefficient	coefficient	NOUN
ajst-30223	81	4	model	model	NOUN
ajst-30223	81	5	in	in	ADP
ajst-30223	81	6	the	the	DET
ajst-30223	81	7	previous	previous	ADJ
ajst-30223	81	8	sections	section	NOUN
ajst-30223	81	9	,	,	PUNCT
ajst-30223	81	10	three	three	NUM
ajst-30223	81	11	different	different	ADJ
ajst-30223	81	12	curve	curve	NOUN
ajst-30223	81	13	models	model	NOUN
ajst-30223	81	14	were	be	AUX
ajst-30223	81	15	used	use	VERB
ajst-30223	81	16	to	to	PART
ajst-30223	81	17	predict	predict	VERB
ajst-30223	81	18	the	the	DET
ajst-30223	81	19	water	water	NOUN
ajst-30223	81	20	inflow	inflow	NOUN
ajst-30223	81	21	of	of	ADP
ajst-30223	81	22	the	the	DET
ajst-30223	81	23	coal	coal	NOUN
ajst-30223	81	24	mine	mine	NOUN
ajst-30223	81	25	,	,	PUNCT
ajst-30223	81	26	each	each	PRON
ajst-30223	81	27	yielding	yield	VERB
ajst-30223	81	28	different	different	ADJ
ajst-30223	81	29	results	result	NOUN
ajst-30223	81	30	.	.	PUNCT
ajst-30223	82	1	there	there	PRON
ajst-30223	82	2	are	be	VERB
ajst-30223	82	3	noticeable	noticeable	ADJ
ajst-30223	82	4	discrepancies	discrepancy	NOUN
ajst-30223	82	5	when	when	SCONJ
ajst-30223	82	6	compared	compare	VERB
ajst-30223	82	7	to	to	ADP
ajst-30223	82	8	actual	actual	ADJ
ajst-30223	82	9	data	datum	NOUN
ajst-30223	82	10	.	.	PUNCT
ajst-30223	83	1	to	to	PART
ajst-30223	83	2	minimize	minimize	VERB
ajst-30223	83	3	these	these	DET
ajst-30223	83	4	errors	error	NOUN
ajst-30223	83	5	,	,	PUNCT
ajst-30223	83	6	methods	method	NOUN
ajst-30223	83	7	can	can	AUX
ajst-30223	83	8	be	be	AUX
ajst-30223	83	9	employed	employ	VERB
ajst-30223	83	10	to	to	PART
ajst-30223	83	11	reduce	reduce	VERB
ajst-30223	83	12	discrepancies	discrepancy	NOUN
ajst-30223	83	13	.	.	PUNCT
ajst-30223	84	1	given	give	VERB
ajst-30223	84	2	the	the	DET
ajst-30223	84	3	existence	existence	NOUN
ajst-30223	84	4	of	of	ADP
ajst-30223	84	5	three	three	NUM
ajst-30223	84	6	models	model	NOUN
ajst-30223	84	7	,	,	PUNCT
ajst-30223	84	8	the	the	DET
ajst-30223	84	9	optimal	optimal	ADJ
ajst-30223	84	10	weighted	weight	VERB
ajst-30223	84	11	coefficient	coefficient	NOUN
ajst-30223	84	12	method	method	NOUN
ajst-30223	84	13	from	from	ADP
ajst-30223	84	14	economics	economic	NOUN
ajst-30223	84	15	can	can	AUX
ajst-30223	84	16	be	be	AUX
ajst-30223	84	17	utilized	utilize	VERB
ajst-30223	84	18	to	to	PART
ajst-30223	84	19	construct	construct	VERB
ajst-30223	84	20	a	a	DET
ajst-30223	84	21	combination	combination	NOUN
ajst-30223	84	22	model	model	NOUN
ajst-30223	84	23	.	.	PUNCT
ajst-30223	85	1	this	this	PRON
ajst-30223	85	2	involves	involve	VERB
ajst-30223	85	3	assigning	assign	VERB
ajst-30223	85	4	a	a	DET
ajst-30223	85	5	weight	weight	NOUN
ajst-30223	85	6	to	to	ADP
ajst-30223	85	7	each	each	DET
ajst-30223	85	8	model	model	NOUN
ajst-30223	85	9	and	and	CCONJ
ajst-30223	85	10	combining	combine	VERB
ajst-30223	85	11	the	the	DET
ajst-30223	85	12	three	three	NUM
ajst-30223	85	13	models	model	NOUN
ajst-30223	85	14	into	into	ADP
ajst-30223	85	15	a	a	DET
ajst-30223	85	16	new	new	ADJ
ajst-30223	85	17	model	model	NOUN
ajst-30223	85	18	,	,	PUNCT
ajst-30223	85	19	expressed	express	VERB
ajst-30223	85	20	as	as	ADP
ajst-30223	85	21	:	:	PUNCT
ajst-30223	85	22	q	q	NOUN
ajst-30223	85	23	=	=	NOUN
ajst-30223	85	24	mq1+nq2+pq3	mq1+nq2+pq3	NOUN
ajst-30223	85	25	,	,	PUNCT
ajst-30223	85	26	where	where	SCONJ
ajst-30223	85	27	m	m	NOUN
ajst-30223	85	28	,	,	PUNCT
ajst-30223	85	29	n	n	CCONJ
ajst-30223	85	30	,	,	PUNCT
ajst-30223	85	31	p	p	NOUN
ajst-30223	85	32	are	be	AUX
ajst-30223	85	33	all	all	ADV
ajst-30223	85	34	less	less	ADJ
ajst-30223	85	35	than	than	ADP
ajst-30223	85	36	1	1	NUM
ajst-30223	85	37	and	and	CCONJ
ajst-30223	85	38	satisfy	satisfy	VERB
ajst-30223	85	39	the	the	DET
ajst-30223	85	40	equation	equation	NOUN
ajst-30223	85	41	m+n+p=1	m+n+p=1	NUM
ajst-30223	85	42	.	.	PUNCT
ajst-30223	86	1	next	next	ADV
ajst-30223	86	2	,	,	PUNCT
ajst-30223	86	3	we	we	PRON
ajst-30223	86	4	can	can	AUX
ajst-30223	86	5	use	use	VERB
ajst-30223	86	6	this	this	DET
ajst-30223	86	7	approach	approach	NOUN
ajst-30223	86	8	to	to	PART
ajst-30223	86	9	construct	construct	VERB
ajst-30223	86	10	a	a	DET
ajst-30223	86	11	new	new	ADJ
ajst-30223	86	12	water	water	NOUN
ajst-30223	86	13	inflow	inflow	NOUN
ajst-30223	86	14	model	model	NOUN
ajst-30223	86	15	that	that	PRON
ajst-30223	86	16	minimizes	minimize	VERB
ajst-30223	86	17	errors	error	NOUN
ajst-30223	86	18	and	and	CCONJ
ajst-30223	86	19	yields	yield	NOUN
ajst-30223	86	20	more	more	ADV
ajst-30223	86	21	accurate	accurate	ADJ
ajst-30223	86	22	predictions	prediction	NOUN
ajst-30223	86	23	.	.	PUNCT
ajst-30223	87	1	let	let	VERB
ajst-30223	87	2	:	:	PUNCT
ajst-30223	87	3			PROPN
ajst-30223	87	4			NUM
ajst-30223	87	5			VERB
ajst-30223	87	6	n	n	PROPN
ajst-30223	87	7	1i	1i	NUM
ajst-30223	87	8	itiiti2t2t11	itiiti2t2t11	NOUN
ajst-30223	87	9	t	t	PROPN
ajst-30223	87	10	fkfk	fkfk	NOUN
ajst-30223	87	11	fkfkf	fkfkf	NOUN
ajst-30223	87	12			NOUN
ajst-30223	87	13	(	(	PUNCT
ajst-30223	87	14	19	19	NUM
ajst-30223	87	15	)	)	PUNCT
ajst-30223	87	16	the	the	DET
ajst-30223	87	17	prediction	prediction	NOUN
ajst-30223	87	18	error	error	NOUN
ajst-30223	87	19	can	can	AUX
ajst-30223	87	20	be	be	AUX
ajst-30223	87	21	expressed	express	VERB
ajst-30223	87	22	as	as	ADP
ajst-30223	87	23	:	:	PUNCT
ajst-30223	87	24			X
ajst-30223	87	25			X
ajst-30223	88	1			NUM
ajst-30223	89	1			ADJ
ajst-30223	89	2			NOUN
ajst-30223	89	3	n	n	CCONJ
ajst-30223	89	4	1i	1i	NOUN
ajst-30223	89	5	n	n	NOUN
ajst-30223	89	6	1i	1i	NOUN
ajst-30223	89	7	itiititttt	itiititttt	PROPN
ajst-30223	89	8	ekfkyfye	ekfkyfye	ADV
ajst-30223	89	9	(	(	PUNCT
ajst-30223	89	10	20	20	NUM
ajst-30223	89	11	)	)	PUNCT
ajst-30223	89	12	the	the	DET
ajst-30223	89	13	sum	sum	NOUN
ajst-30223	89	14	of	of	ADP
ajst-30223	89	15	squared	square	VERB
ajst-30223	89	16	prediction	prediction	NOUN
ajst-30223	89	17	errors	error	NOUN
ajst-30223	89	18	can	can	AUX
ajst-30223	89	19	be	be	AUX
ajst-30223	89	20	expressed	express	VERB
ajst-30223	89	21	as	as	ADP
ajst-30223	89	22	:	:	PUNCT
ajst-30223	89	23			X
ajst-30223	89	24			X
ajst-30223	89	25			X
ajst-30223	90	1			NUM
ajst-30223	91	1			NUM
ajst-30223	91	2			NUM
ajst-30223	91	3			NUM
ajst-30223	91	4	n	n	CCONJ
ajst-30223	91	5	n	n	PRON
ajst-30223	91	6	ekex	ekex	VERB
ajst-30223	91	7	1	1	NUM
ajst-30223	91	8	t	t	NOUN
ajst-30223	91	9	1	1	NUM
ajst-30223	91	10	t	t	NOUN
ajst-30223	91	11	n	n	PRON
ajst-30223	91	12	1i	1i	NOUN
ajst-30223	91	13	2	2	NUM
ajst-30223	92	1	iti	iti	NOUN
ajst-30223	92	2	2	2	NUM
ajst-30223	92	3	t	t	NOUN
ajst-30223	92	4	）	）	PROPN
ajst-30223	92	5	（	（	PUNCT
ajst-30223	92	6	(	(	PUNCT
ajst-30223	92	7	21	21	NUM
ajst-30223	92	8	)	)	PUNCT
ajst-30223	92	9			NOUN
ajst-30223	93	1			PUNCT
ajst-30223	93	2			PUNCT
ajst-30223	94	1			NOUN
ajst-30223	94	2			PROPN
ajst-30223	94	3			PROPN
ajst-30223	94	4			X
ajst-30223	94	5			NOUN
ajst-30223	94	6			NOUN
ajst-30223	94	7			NOUN
ajst-30223	94	8			NOUN
ajst-30223	94	9			NOUN
ajst-30223	94	10			NOUN
ajst-30223	94	11			PROPN
ajst-30223	95	1			NOUN
ajst-30223	95	2			PROPN
ajst-30223	95	3			X
ajst-30223	95	4			NUM
ajst-30223	95	5			NUM
ajst-30223	95	6	nn	nn	PROPN
ajst-30223	95	7	nn	nn	PROPN
ajst-30223	95	8	eeee	eeee	PROPN
ajst-30223	95	9	eeee	eeee	PROPN
ajst-30223	95	10	z	z	PROPN
ajst-30223	95	11	1	1	NUM
ajst-30223	95	12	t	t	NOUN
ajst-30223	95	13	ntnt	ntnt	NOUN
ajst-30223	95	14	1	1	NUM
ajst-30223	95	15	t	t	NOUN
ajst-30223	95	16	t1nt	t1nt	NUM
ajst-30223	95	17	1	1	NUM
ajst-30223	95	18	t	t	NOUN
ajst-30223	95	19	ntt1	ntt1	NOUN
ajst-30223	95	20	1	1	NUM
ajst-30223	95	21	t	t	NOUN
ajst-30223	95	22	t1t1	t1t1	PRON
ajst-30223	95	23			NOUN
ajst-30223	95	24			PROPN
ajst-30223	95	25			NOUN
ajst-30223	95	26	(	(	PUNCT
ajst-30223	95	27	22	22	NUM
ajst-30223	95	28	)	)	PUNCT
ajst-30223	95	29	thus	thus	ADV
ajst-30223	95	30	:	:	PUNCT
ajst-30223	95	31			NOUN
ajst-30223	95	32			SYM
ajst-30223	95	33	1	1	NUM
ajst-30223	95	34	1	1	NUM
ajst-30223	95	35	t	t	NOUN
ajst-30223	95	36	1	1	NUM
ajst-30223	95	37	t	t	NOUN
ajst-30223	95	38	1	1	NUM
ajst-30223	95	39	t	t	NOUN
ajst-30223	95	40	nt	not	PART
ajst-30223	95	41	t	t	PROPN
ajst-30223	95	42	1	1	NUM
ajst-30223	95	43	t	t	NOUN
ajst-30223	95	44	1n	1n	NUM
ajst-30223	95	45	n	n	CCONJ
ajst-30223	95	46	2	2	NUM
ajst-30223	95	47	2	2	NUM
ajst-30223	95	48	t	t	NOUN
ajst-30223	96	1	i	i	PRON
ajst-30223	96	2	it	it	PRON
ajst-30223	96	3	1	1	NUM
ajst-30223	97	1	i	i	PRON
ajst-30223	97	2	t	t	VERB
ajst-30223	97	3	1	1	NUM
ajst-30223	97	4	t	t	PROPN
ajst-30223	97	5	1	1	NUM
ajst-30223	97	6	i	i	NOUN
ajst-30223	97	7	1	1	NUM
ajst-30223	97	8	nt	not	PART
ajst-30223	97	9	1	1	NUM
ajst-30223	97	10	t	t	NOUN
ajst-30223	97	11	nt	not	PART
ajst-30223	97	12	nt	not	PART
ajst-30223	97	13	t	t	PROPN
ajst-30223	97	14	1	1	NUM
ajst-30223	97	15	t	t	NOUN
ajst-30223	97	16	1i	1i	NOUN
ajst-30223	97	17	.	.	PUNCT
ajst-30223	98	1	k	k	PROPN
ajst-30223	98	2	e	e	PROPN
ajst-30223	98	3	.	.	PUNCT
ajst-30223	98	4	.	.	PUNCT
ajst-30223	99	1	n	n	CCONJ
ajst-30223	99	2	n	n	CCONJ
ajst-30223	99	3	n	n	ADP
ajst-30223	99	4	t	t	PROPN
ajst-30223	99	5	n	n	CCONJ
ajst-30223	99	6	n	n	ADV
ajst-30223	99	7	k	k	NOUN
ajst-30223	99	8	e	e	X
ajst-30223	99	9	e	e	X
ajst-30223	99	10	e	e	X
ajst-30223	99	11	e	e	X
ajst-30223	99	12	x	x	X
ajst-30223	99	13	e	e	PROPN
ajst-30223	99	14	k	k	PROPN
ajst-30223	99	15	k	k	PROPN
ajst-30223	99	16	k	k	PROPN
ajst-30223	99	17	zk	zk	PROPN
ajst-30223	99	18	e	e	X
ajst-30223	99	19	e	e	X
ajst-30223	99	20	e	e	X
ajst-30223	99	21	e	e	X
ajst-30223	99	22	k	k	PROPN
ajst-30223	100	1			PROPN
ajst-30223	100	2			NUM
ajst-30223	101	1			ADJ
ajst-30223	102	1			PRON
ajst-30223	103	1			NOUN
ajst-30223	104	1			NUM
ajst-30223	105	1			PROPN
ajst-30223	105	2			NOUN
ajst-30223	105	3			NOUN
ajst-30223	105	4			PROPN
ajst-30223	106	1			NOUN
ajst-30223	107	1			PROPN
ajst-30223	107	2			PROPN
ajst-30223	107	3			PROPN
ajst-30223	108	1			PROPN
ajst-30223	108	2			PROPN
ajst-30223	108	3			PROPN
ajst-30223	108	4			PROPN
ajst-30223	108	5			PROPN
ajst-30223	108	6			PROPN
ajst-30223	109	1			NOUN
ajst-30223	110	1			NOUN
ajst-30223	111	1			ADJ
ajst-30223	112	1			ADJ
ajst-30223	112	2			PROPN
ajst-30223	112	3			PROPN
ajst-30223	112	4			PROPN
ajst-30223	112	5			PROPN
ajst-30223	113	1			PROPN
ajst-30223	113	2			PROPN
ajst-30223	113	3			PROPN
ajst-30223	113	4			PROPN
ajst-30223	114	1			PROPN
ajst-30223	114	2			PROPN
ajst-30223	114	3			PROPN
ajst-30223	114	4			PROPN
ajst-30223	114	5			PROPN
ajst-30223	114	6			PROPN
ajst-30223	114	7			NOUN
ajst-30223	114	8			X
ajst-30223	114	9			X
ajst-30223	114	10			X
ajst-30223	114	11			X
ajst-30223	114	12			X
ajst-30223	114	13			X
ajst-30223	114	14			X
ajst-30223	114	15			NOUN
ajst-30223	114	16			NOUN
ajst-30223	114	17			NOUN
ajst-30223	114	18			NOUN
ajst-30223	114	19			NOUN
ajst-30223	114	20			NOUN
ajst-30223	114	21	（	（	PUNCT
ajst-30223	114	22	）	）	PUNCT
ajst-30223	115	1	(	(	PUNCT
ajst-30223	115	2	23	23	NUM
ajst-30223	115	3	)	)	PUNCT
ajst-30223	115	4	let	let	VERB
ajst-30223	115	5			ADJ
ajst-30223	115	6	tr	tr	NOUN
ajst-30223	115	7	11,1	11,1	PROPN
ajst-30223	115	8			NUM
ajst-30223	115	9	.	.	PUNCT
ajst-30223	116	1	since	since	SCONJ
ajst-30223	116	2	the	the	DET
ajst-30223	116	3	sum	sum	NOUN
ajst-30223	116	4	of	of	ADP
ajst-30223	116	5	the	the	DET
ajst-30223	116	6	weighting	weighting	NOUN
ajst-30223	116	7	coefficients	coefficient	NOUN
ajst-30223	116	8	must	must	AUX
ajst-30223	116	9	equal	equal	VERB
ajst-30223	116	10	1	1	NUM
ajst-30223	116	11	,	,	PUNCT
ajst-30223	116	12	we	we	PRON
ajst-30223	116	13	have	have	VERB
ajst-30223	116	14	r=1	r=1	NOUN
ajst-30223	116	15	.	.	PUNCT
ajst-30223	117	1	typically	typically	ADV
ajst-30223	117	2	,	,	PUNCT
ajst-30223	117	3	the	the	DET
ajst-30223	117	4	matrix	matrix	NOUN
ajst-30223	117	5	z	z	NOUN
ajst-30223	117	6	is	be	AUX
ajst-30223	117	7	invertible	invertible	ADJ
ajst-30223	117	8	,	,	PUNCT
ajst-30223	117	9	so	so	SCONJ
ajst-30223	117	10	the	the	DET
ajst-30223	117	11	optimal	optimal	ADJ
ajst-30223	117	12	weighted	weight	VERB
ajst-30223	117	13	coefficient	coefficient	NOUN
ajst-30223	117	14	vector	vector	NOUN
ajst-30223	117	15	exists	exist	VERB
ajst-30223	117	16	and	and	CCONJ
ajst-30223	117	17	is	be	AUX
ajst-30223	117	18	unique	unique	ADJ
ajst-30223	117	19	.	.	PUNCT
ajst-30223	118	1	thus	thus	ADV
ajst-30223	118	2	:	:	PUNCT
ajst-30223	118	3	rzr	rzr	PROPN
ajst-30223	118	4	rz	rz	NOUN
ajst-30223	118	5	k	k	NOUN
ajst-30223	118	6	ti	ti	PROPN
ajst-30223	118	7	1	1	NUM
ajst-30223	118	8	1	1	NUM
ajst-30223	118	9			PROPN
ajst-30223	118	10			PROPN
ajst-30223	118	11			PRON
ajst-30223	118	12	(	(	PUNCT
ajst-30223	118	13	24	24	NUM
ajst-30223	118	14	)	)	PUNCT
ajst-30223	118	15	using	use	VERB
ajst-30223	118	16	knowledge	knowledge	NOUN
ajst-30223	118	17	from	from	ADP
ajst-30223	118	18	linear	linear	PROPN
ajst-30223	118	19	algebra	algebra	PROPN
ajst-30223	118	20	,	,	PUNCT
ajst-30223	118	21	this	this	PRON
ajst-30223	118	22	can	can	AUX
ajst-30223	118	23	be	be	AUX
ajst-30223	118	24	substituted	substitute	VERB
ajst-30223	118	25	to	to	PART
ajst-30223	118	26	show	show	VERB
ajst-30223	118	27	that	that	SCONJ
ajst-30223	118	28	:	:	PUNCT
ajst-30223	119	1	rzr	rzr	PROPN
ajst-30223	119	2	rz	rz	PROPN
ajst-30223	119	3	k	k	PROPN
ajst-30223	119	4	t	t	PROPN
ajst-30223	119	5	*	*	PUNCT
ajst-30223	120	1	i	i	PRON
ajst-30223	120	2			PROPN
ajst-30223	120	3			NUM
ajst-30223	120	4	(	(	PUNCT
ajst-30223	120	5	25	25	NUM
ajst-30223	120	6	)	)	PUNCT
ajst-30223	120	7	since	since	SCONJ
ajst-30223	120	8			PROPN
ajst-30223	120	9	imin	imin	PROPN
ajst-30223	120	10	jj	jj	PROPN
ajst-30223	120	11			PROPN
ajst-30223	120	12	holds	hold	VERB
ajst-30223	120	13	,	,	PUNCT
ajst-30223	120	14	it	it	PRON
ajst-30223	120	15	can	can	AUX
ajst-30223	120	16	be	be	AUX
ajst-30223	120	17	understood	understand	VERB
ajst-30223	120	18	that	that	SCONJ
ajst-30223	120	19	the	the	DET
ajst-30223	120	20	sum	sum	NOUN
ajst-30223	120	21	of	of	ADP
ajst-30223	120	22	squared	square	VERB
ajst-30223	120	23	prediction	prediction	NOUN
ajst-30223	120	24	errors	error	NOUN
ajst-30223	120	25	of	of	ADP
ajst-30223	120	26	the	the	DET
ajst-30223	120	27	new	new	ADJ
ajst-30223	120	28	combined	combine	VERB
ajst-30223	120	29	model	model	NOUN
ajst-30223	120	30	is	be	AUX
ajst-30223	120	31	less	less	ADJ
ajst-30223	120	32	than	than	ADP
ajst-30223	120	33	that	that	PRON
ajst-30223	120	34	of	of	ADP
ajst-30223	120	35	any	any	DET
ajst-30223	120	36	individual	individual	ADJ
ajst-30223	120	37	model	model	NOUN
ajst-30223	120	38	.	.	PUNCT
ajst-30223	121	1	where	where	SCONJ
ajst-30223	121	2	:	:	PUNCT
ajst-30223	121	3	yt	yt	NOUN
ajst-30223	121	4	:	:	PUNCT
ajst-30223	121	5	actual	actual	ADJ
ajst-30223	121	6	mine	mine	ADJ
ajst-30223	121	7	water	water	NOUN
ajst-30223	121	8	inflow;fit	inflow;fit	PROPN
ajst-30223	121	9	:	:	PUNCT
ajst-30223	121	10	predicted	predict	VERB
ajst-30223	121	11	water	water	NOUN
ajst-30223	121	12	300	300	NUM
ajst-30223	121	13	inflow	inflow	NOUN
ajst-30223	121	14	of	of	ADP
ajst-30223	121	15	the	the	DET
ajst-30223	121	16	i	i	PROPN
ajst-30223	121	17	-	-	PUNCT
ajst-30223	121	18	th	th	X
ajst-30223	121	19	model	model	NOUN
ajst-30223	121	20	at	at	ADP
ajst-30223	121	21	time	time	NOUN
ajst-30223	121	22	t;ft	t;ft	NOUN
ajst-30223	121	23	:	:	PUNCT
ajst-30223	121	24	predicted	predict	VERB
ajst-30223	121	25	water	water	NOUN
ajst-30223	121	26	inflow	inflow	NOUN
ajst-30223	121	27	of	of	ADP
ajst-30223	121	28	the	the	DET
ajst-30223	121	29	combined	combined	ADJ
ajst-30223	121	30	model;eit	model;eit	PROPN
ajst-30223	121	31	:	:	PUNCT
ajst-30223	121	32	error	error	NOUN
ajst-30223	121	33	of	of	ADP
ajst-30223	121	34	the	the	DET
ajst-30223	121	35	i	i	PROPN
ajst-30223	121	36	-	-	PUNCT
ajst-30223	121	37	th	th	X
ajst-30223	121	38	model	model	NOUN
ajst-30223	121	39	at	at	ADP
ajst-30223	121	40	time	time	NOUN
ajst-30223	121	41	t;et	t;et	PROPN
ajst-30223	121	42	:	:	PUNCT
ajst-30223	121	43	predicted	predict	VERB
ajst-30223	121	44	error	error	NOUN
ajst-30223	121	45	of	of	ADP
ajst-30223	121	46	the	the	DET
ajst-30223	121	47	combined	combined	ADJ
ajst-30223	121	48	model;ki	model;ki	NOUN
ajst-30223	121	49	:	:	PUNCT
ajst-30223	121	50	weight	weight	NOUN
ajst-30223	121	51	coefficient	coefficient	NOUN
ajst-30223	121	52	of	of	ADP
ajst-30223	121	53	the	the	DET
ajst-30223	121	54	i	i	PROPN
ajst-30223	121	55	-	-	PUNCT
ajst-30223	121	56	th	th	VERB
ajst-30223	121	57	model	model	NOUN
ajst-30223	121	58	;	;	PUNCT
ajst-30223	121	59	let	let	VERB
ajst-30223	121	60	1,2	1,2	NUM
ajst-30223	121	61	......	......	PUNCT
ajst-30223	121	62	t	t	PROPN
ajst-30223	121	63	n	n	NOUN
ajst-30223	121	64	;	;	PUNCT
ajst-30223	121	65	1,2	1,2	NUM
ajst-30223	121	66	......	......	PUNCT
ajst-30223	122	1	i	i	PRON
ajst-30223	122	2	n	n	NOUN
ajst-30223	122	3	;	;	PUNCT
ajst-30223	122	4			X
ajst-30223	122	5			NUM
ajst-30223	122	6			NOUN
ajst-30223	122	7	n	n	NUM
ajst-30223	122	8	1i	1i	NOUN
ajst-30223	123	1	i	i	PRON
ajst-30223	123	2	1k	1k	NUM
ajst-30223	123	3	.	.	PUNCT
ajst-30223	124	1	the	the	DET
ajst-30223	124	2	calculation	calculation	NOUN
ajst-30223	124	3	method	method	NOUN
ajst-30223	124	4	is	be	AUX
ajst-30223	124	5	as	as	SCONJ
ajst-30223	124	6	follows	follow	VERB
ajst-30223	124	7	:	:	PUNCT
ajst-30223	124	8	(	(	PUNCT
ajst-30223	124	9	1	1	X
ajst-30223	124	10	)	)	PUNCT
ajst-30223	124	11	calculate	calculate	VERB
ajst-30223	124	12	the	the	DET
ajst-30223	124	13	adjoint	adjoint	NOUN
ajst-30223	124	14	matrix	matrix	NOUN
ajst-30223	124	15	z	z	NOUN
ajst-30223	124	16	*	*	PUNCT
ajst-30223	124	17	:	:	PUNCT
ajst-30223	125	1	*	*	PUNCT
ajst-30223	125	2	*	*	PUNCT
ajst-30223	125	3	ij	ij	INTJ
ajst-30223	125	4	n	n	CCONJ
ajst-30223	125	5	nz	nz	PROPN
ajst-30223	125	6	z	z	PROPN
ajst-30223	125	7			PROPN
ajst-30223	125	8	（	（	PUNCT
ajst-30223	125	9	）	）	PUNCT
ajst-30223	126	1	(	(	PUNCT
ajst-30223	126	2	26	26	NUM
ajst-30223	126	3	)	)	PUNCT
ajst-30223	126	4	where	where	SCONJ
ajst-30223	126	5	zij∗	zij∗	PROPN
ajst-30223	126	6	is	be	AUX
ajst-30223	126	7	the	the	DET
ajst-30223	126	8	cofactor	cofactor	NOUN
ajst-30223	126	9	of	of	ADP
ajst-30223	126	10	zij	zij	PROPN
ajst-30223	126	11	.	.	PROPN
ajst-30223	126	12	calculate	calculate	PROPN
ajst-30223	126	13	:	:	PUNCT
ajst-30223	127	1	*	*	PUNCT
ajst-30223	127	2	1	1	NUM
ajst-30223	127	3	n	n	INTJ
ajst-30223	128	1	i	i	PRON
ajst-30223	128	2	ij	ij	INTJ
ajst-30223	129	1	i	i	INTJ
ajst-30223	130	1	d	d	NOUN
ajst-30223	130	2	m	m	VERB
ajst-30223	130	3			ADJ
ajst-30223	130	4			PROPN
ajst-30223	130	5	(	(	PUNCT
ajst-30223	130	6	27	27	NUM
ajst-30223	130	7	)	)	PUNCT
ajst-30223	130	8	solve	solve	NOUN
ajst-30223	130	9	:	:	PUNCT
ajst-30223	130	10	1	1	NUM
ajst-30223	130	11	2	2	NUM
ajst-30223	130	12	1	1	NUM
ajst-30223	130	13	n	n	NOUN
ajst-30223	131	1	i	i	PRON
ajst-30223	131	2	i	i	INTJ
ajst-30223	132	1	i	i	VERB
ajst-30223	133	1	d	d	NOUN
ajst-30223	133	2	d	d	PROPN
ajst-30223	134	1	d	d	PROPN
ajst-30223	134	2	d	d	PROPN
ajst-30223	134	3	d	d	X
ajst-30223	134	4			PROPN
ajst-30223	134	5			PROPN
ajst-30223	134	6			ADV
ajst-30223	134	7			PUNCT
ajst-30223	134	8			PRON
ajst-30223	134	9			PROPN
ajst-30223	134	10	(	(	PUNCT
ajst-30223	134	11	28	28	NUM
ajst-30223	134	12	)	)	PUNCT
ajst-30223	134	13	solve	solve	NOUN
ajst-30223	134	14	:	:	PUNCT
ajst-30223	135	1	i	i	PRON
ajst-30223	135	2	i	i	VERB
ajst-30223	136	1	d	d	VERB
ajst-30223	136	2	k	k	PROPN
ajst-30223	137	1	d	d	X
ajst-30223	137	2			PROPN
ajst-30223	137	3	(	(	PUNCT
ajst-30223	137	4	29	29	NUM
ajst-30223	137	5	)	)	PUNCT
ajst-30223	137	6	by	by	ADP
ajst-30223	137	7	substituting	substitute	VERB
ajst-30223	137	8	the	the	DET
ajst-30223	137	9	predicted	predict	VERB
ajst-30223	137	10	results	result	NOUN
ajst-30223	137	11	from	from	ADP
ajst-30223	137	12	the	the	DET
ajst-30223	137	13	three	three	NUM
ajst-30223	137	14	models	model	NOUN
ajst-30223	137	15	,	,	PUNCT
ajst-30223	137	16	we	we	PRON
ajst-30223	137	17	can	can	AUX
ajst-30223	137	18	obtain	obtain	VERB
ajst-30223	137	19	the	the	DET
ajst-30223	137	20	most	most	ADV
ajst-30223	137	21	suitable	suitable	ADJ
ajst-30223	137	22	weight	weight	NOUN
ajst-30223	137	23	coefficients	coefficient	NOUN
ajst-30223	137	24	,	,	PUNCT
ajst-30223	137	25	ensuring	ensure	VERB
ajst-30223	137	26	that	that	SCONJ
ajst-30223	137	27	the	the	DET
ajst-30223	137	28	resulting	result	VERB
ajst-30223	137	29	error	error	NOUN
ajst-30223	137	30	is	be	AUX
ajst-30223	137	31	less	less	ADJ
ajst-30223	137	32	than	than	ADP
ajst-30223	137	33	that	that	PRON
ajst-30223	137	34	of	of	ADP
ajst-30223	137	35	any	any	DET
ajst-30223	137	36	individual	individual	ADJ
ajst-30223	137	37	model	model	NOUN
ajst-30223	137	38	.	.	PUNCT
ajst-30223	138	1	15455	15455	NUM
ajst-30223	138	2	13778	13778	NUM
ajst-30223	138	3	14254	14254	NUM
ajst-30223	138	4	13778	13778	NUM
ajst-30223	138	5	14055	14055	NUM
ajst-30223	138	6	13819	13819	NUM
ajst-30223	138	7	14254	14254	NUM
ajst-30223	138	8	13819	13819	NUM
ajst-30223	138	9	13989	13989	NUM
ajst-30223	138	10	z	z	NOUN
ajst-30223	138	11			PROPN
ajst-30223	138	12			NOUN
ajst-30223	138	13			NOUN
ajst-30223	138	14			X
ajst-30223	138	15			NOUN
ajst-30223	138	16			PROPN
ajst-30223	138	17			NOUN
ajst-30223	138	18			PROPN
ajst-30223	138	19			PROPN
ajst-30223	138	20	calculate	calculate	VERB
ajst-30223	138	21	the	the	DET
ajst-30223	138	22	adjoint	adjoint	NOUN
ajst-30223	138	23	matrix	matrix	NOUN
ajst-30223	138	24	z∗	z∗	PROPN
ajst-30223	138	25	of	of	ADP
ajst-30223	138	26	the	the	DET
ajst-30223	138	27	invertible	invertible	ADJ
ajst-30223	138	28	matrix	matrix	NOUN
ajst-30223	138	29	z	z	NOUN
ajst-30223	138	30	:	:	PUNCT
ajst-30223	138	31			ADJ
ajst-30223	138	32			PROPN
ajst-30223	138	33			PROPN
ajst-30223	138	34			PROPN
ajst-30223	138	35			X
ajst-30223	138	36			NOUN
ajst-30223	138	37			NOUN
ajst-30223	138	38			NOUN
ajst-30223	138	39			VERB
ajst-30223	138	40			PROPN
ajst-30223	139	1			NUM
ajst-30223	139	2	27386741171810339941788	27386741171810339941788	NUM
ajst-30223	139	3	17181033125598294648924	17181033125598294648924	NUM
ajst-30223	139	4	994178846489245228984	994178846489245228984	NUM
ajst-30223	140	1	*	*	PUNCT
ajst-30223	140	2	z	z	AUX
ajst-30223	140	3	thus	thus	ADV
ajst-30223	140	4	,	,	PUNCT
ajst-30223	140	5	we	we	PRON
ajst-30223	140	6	have	have	AUX
ajst-30223	140	7	:	:	PUNCT
ajst-30223	140	8	198196969941788464892452289841	198196969941788464892452289841	NUM
ajst-30223	140	9	d	d	VERB
ajst-30223	140	10	34389786171810331255982946489242	34389786171810331255982946489242	NUM
ajst-30223	140	11	d	d	PROPN
ajst-30223	140	12	54509562273867411718103399417883	54509562273867411718103399417883	NUM
ajst-30223	140	13	d	d	PROPN
ajst-30223	140	14	108719044545095623438978619819696	108719044545095623438978619819696	NUM
ajst-30223	140	15	d	d	PROPN
ajst-30223	140	16	18.01	18.01	NUM
ajst-30223	141	1			NOUN
ajst-30223	141	2	d	d	PROPN
ajst-30223	141	3	d	d	PROPN
ajst-30223	141	4	,	,	PUNCT
ajst-30223	141	5	32.02	32.02	NUM
ajst-30223	141	6			NOUN
ajst-30223	141	7	d	d	PROPN
ajst-30223	141	8	d	d	PROPN
ajst-30223	141	9	,	,	PUNCT
ajst-30223	141	10	5.0	5.0	NUM
ajst-30223	141	11	3	3	NUM
ajst-30223	141	12			NOUN
ajst-30223	142	1	d	d	NOUN
ajst-30223	142	2	d	d	NOUN
ajst-30223	142	3	then	then	ADV
ajst-30223	142	4	,	,	PUNCT
ajst-30223	142	5	we	we	PRON
ajst-30223	142	6	can	can	AUX
ajst-30223	142	7	establish	establish	VERB
ajst-30223	142	8	the	the	DET
ajst-30223	142	9	new	new	ADJ
ajst-30223	142	10	model	model	NOUN
ajst-30223	142	11	equation	equation	NOUN
ajst-30223	142	12	as	as	ADP
ajst-30223	142	13	:	:	PUNCT
ajst-30223	142	14	321	321	NUM
ajst-30223	142	15	t	t	NOUN
ajst-30223	142	16	5.032.018.0	5.032.018.0	NUM
ajst-30223	142	17	qqqq	qqqq	PROPN
ajst-30223	142	18			PROPN
ajst-30223	142	19	(	(	PUNCT
ajst-30223	142	20	30	30	NUM
ajst-30223	142	21	)	)	PUNCT
ajst-30223	142	22	according	accord	VERB
ajst-30223	142	23	to	to	ADP
ajst-30223	142	24	formula	formula	NOUN
ajst-30223	142	25	(	(	PUNCT
ajst-30223	142	26	30	30	NUM
ajst-30223	142	27	)	)	PUNCT
ajst-30223	142	28	,	,	PUNCT
ajst-30223	142	29	the	the	DET
ajst-30223	142	30	results	result	NOUN
ajst-30223	142	31	can	can	AUX
ajst-30223	142	32	be	be	AUX
ajst-30223	142	33	obtained	obtain	VERB
ajst-30223	142	34	as	as	ADP
ajst-30223	142	35	shown	show	VERB
ajst-30223	142	36	in	in	ADP
ajst-30223	142	37	table	table	NOUN
ajst-30223	142	38	6	6	NUM
ajst-30223	142	39	:	:	PUNCT
ajst-30223	142	40	table	table	NOUN
ajst-30223	142	41	6	6	NUM
ajst-30223	142	42	.	.	PUNCT
ajst-30223	143	1	analysis	analysis	NOUN
ajst-30223	143	2	of	of	ADP
ajst-30223	143	3	predicted	predict	VERB
ajst-30223	143	4	values	value	NOUN
ajst-30223	143	5	using	use	VERB
ajst-30223	143	6	the	the	DET
ajst-30223	143	7	combined	combined	ADJ
ajst-30223	143	8	model	model	NOUN
ajst-30223	143	9	particular	particular	ADJ
ajst-30223	143	10	year	year	NOUN
ajst-30223	143	11	actual	actual	ADJ
ajst-30223	143	12	value	value	NOUN
ajst-30223	143	13	(	(	PUNCT
ajst-30223	143	14	m3ꞏh-1	m3ꞏh-1	NOUN
ajst-30223	143	15	)	)	PUNCT
ajst-30223	143	16	predicted	predict	VERB
ajst-30223	143	17	value	value	NOUN
ajst-30223	143	18	(	(	PUNCT
ajst-30223	143	19	m3ꞏh-1	m3ꞏh-1	NOUN
ajst-30223	143	20	)	)	PUNCT
ajst-30223	143	21	absolute	absolute	ADJ
ajst-30223	143	22	error	error	NOUN
ajst-30223	143	23	(	(	PUNCT
ajst-30223	143	24	m3ꞏh-1	m3ꞏh-1	NOUN
ajst-30223	143	25	)	)	PUNCT
ajst-30223	143	26	relative	relative	ADJ
ajst-30223	143	27	error	error	NOUN
ajst-30223	143	28	(	(	PUNCT
ajst-30223	143	29	%	%	INTJ
ajst-30223	143	30	)	)	PUNCT
ajst-30223	143	31	precision	precision	NOUN
ajst-30223	143	32	(	(	PUNCT
ajst-30223	143	33	%	%	INTJ
ajst-30223	143	34	)	)	PUNCT
ajst-30223	143	35	2016	2016	NUM
ajst-30223	143	36	145.11	145.11	NUM
ajst-30223	143	37	147.39	147.39	NUM
ajst-30223	143	38	2.280	2.280	NUM
ajst-30223	143	39	0.015712218	0.015712218	NUM
ajst-30223	143	40	0.984530837	0.984530837	NUM
ajst-30223	143	41	2017	2017	NUM
ajst-30223	143	42	223.58	223.58	NUM
ajst-30223	143	43	199.34	199.34	NUM
ajst-30223	143	44	24.24	24.24	NUM
ajst-30223	143	45	0.108417569	0.108417569	NUM
ajst-30223	143	46	0.891582431	0.891582431	NUM
ajst-30223	143	47	2018	2018	NUM
ajst-30223	143	48	226.30	226.30	NUM
ajst-30223	143	49	248.81	248.81	NUM
ajst-30223	143	50	22.51	22.51	NUM
ajst-30223	143	51	0.099469730	0.099469730	NUM
ajst-30223	143	52	0.909529360	0.909529360	NUM
ajst-30223	143	53	2019	2019	NUM
ajst-30223	143	54	233.99	233.99	NUM
ajst-30223	143	55	294.06	294.06	NUM
ajst-30223	143	56	60.07	60.07	NUM
ajst-30223	143	57	0.256720373	0.256720373	NUM
ajst-30223	143	58	0.795721962	0.795721962	NUM
ajst-30223	143	59	2020	2020	NUM
ajst-30223	143	60	338.98	338.98	NUM
ajst-30223	143	61	333.92	333.92	NUM
ajst-30223	143	62	5.060	5.060	NUM
ajst-30223	143	63	0.014927134	0.014927134	NUM
ajst-30223	143	64	0.985072866	0.985072866	NUM
ajst-30223	143	65	2021	2021	NUM
ajst-30223	144	1	455.92	455.92	NUM
ajst-30223	144	2	367.78	367.78	NUM
ajst-30223	144	3	88.14	88.14	NUM
ajst-30223	144	4	0.193323390	0.193323390	NUM
ajst-30223	144	5	0.806676610	0.806676610	NUM
ajst-30223	144	6	2022	2022	NUM
ajst-30223	144	7	403.67	403.67	NUM
ajst-30223	144	8	395.66	395.66	NUM
ajst-30223	144	9	8.010	8.010	NUM
ajst-30223	144	10	0.019842941	0.019842941	NUM
ajst-30223	144	11	0.980157059	0.980157059	NUM
ajst-30223	144	12	2023	2023	NUM
ajst-30223	144	13	437.67	437.67	NUM
ajst-30223	144	14	418.02	418.02	NUM
ajst-30223	144	15	19.65	19.65	NUM
ajst-30223	144	16	0.04489684	0.04489684	NUM
ajst-30223	144	17	0.955103160	0.955103160	NUM
ajst-30223	144	18	2024	2024	NUM
ajst-30223	144	19	404.58	404.58	NUM
ajst-30223	144	20	435.59	435.59	NUM
ajst-30223	144	21	31.01	31.01	NUM
ajst-30223	144	22	0.076647387	0.076647387	NUM
ajst-30223	144	23	0.928809201	0.928809201	NUM
ajst-30223	144	24	using	use	VERB
ajst-30223	144	25	this	this	DET
ajst-30223	144	26	model	model	NOUN
ajst-30223	144	27	,	,	PUNCT
ajst-30223	144	28	we	we	PRON
ajst-30223	144	29	predict	predict	VERB
ajst-30223	144	30	the	the	DET
ajst-30223	144	31	normal	normal	ADJ
ajst-30223	144	32	water	water	NOUN
ajst-30223	144	33	inflow	inflow	NOUN
ajst-30223	144	34	and	and	CCONJ
ajst-30223	144	35	maximum	maximum	ADJ
ajst-30223	144	36	water	water	NOUN
ajst-30223	144	37	inflow	inflow	NOUN
ajst-30223	144	38	(	(	PUNCT
ajst-30223	144	39	calculated	calculate	VERB
ajst-30223	144	40	as	as	ADP
ajst-30223	144	41	1.3	1.3	NUM
ajst-30223	144	42	times	time	NOUN
ajst-30223	144	43	the	the	DET
ajst-30223	144	44	normal	normal	ADJ
ajst-30223	144	45	inflow	inflow	NOUN
ajst-30223	144	46	)	)	PUNCT
ajst-30223	144	47	for	for	ADP
ajst-30223	144	48	the	the	DET
ajst-30223	144	49	coal	coal	NOUN
ajst-30223	144	50	mine	mine	NOUN
ajst-30223	144	51	for	for	ADP
ajst-30223	144	52	the	the	DET
ajst-30223	144	53	years	year	NOUN
ajst-30223	144	54	2025	2025	NUM
ajst-30223	144	55	,	,	PUNCT
ajst-30223	144	56	2026	2026	NUM
ajst-30223	144	57	,	,	PUNCT
ajst-30223	144	58	2027	2027	NUM
ajst-30223	144	59	,	,	PUNCT
ajst-30223	144	60	2028	2028	NUM
ajst-30223	144	61	,	,	PUNCT
ajst-30223	144	62	and	and	CCONJ
ajst-30223	144	63	2029	2029	NUM
ajst-30223	144	64	,	,	PUNCT
ajst-30223	144	65	as	as	SCONJ
ajst-30223	144	66	presented	present	VERB
ajst-30223	144	67	in	in	ADP
ajst-30223	144	68	table	table	NOUN
ajst-30223	144	69	7	7	NUM
ajst-30223	144	70	.	.	PUNCT
ajst-30223	144	71	table	table	NOUN
ajst-30223	144	72	7	7	NUM
ajst-30223	144	73	.	.	PUNCT
ajst-30223	144	74	prediction	prediction	NOUN
ajst-30223	144	75	results	result	NOUN
ajst-30223	144	76	of	of	ADP
ajst-30223	144	77	combined	combined	ADJ
ajst-30223	144	78	model	model	NOUN
ajst-30223	144	79	for	for	ADP
ajst-30223	144	80	mine	mine	NOUN
ajst-30223	144	81	water	water	NOUN
ajst-30223	144	82	inflow	inflow	NOUN
ajst-30223	144	83	for	for	ADP
ajst-30223	144	84	2025	2025	NUM
ajst-30223	144	85	-	-	SYM
ajst-30223	144	86	2029	2029	NUM
ajst-30223	144	87	particular	particular	ADJ
ajst-30223	144	88	year	year	NOUN
ajst-30223	144	89	normal	normal	ADJ
ajst-30223	144	90	water	water	NOUN
ajst-30223	144	91	inflow	inflow	NOUN
ajst-30223	144	92	(	(	PUNCT
ajst-30223	144	93	m3ꞏh-1	m3ꞏh-1	NOUN
ajst-30223	144	94	)	)	PUNCT
ajst-30223	144	95	maximum	maximum	ADJ
ajst-30223	144	96	water	water	NOUN
ajst-30223	144	97	inflow	inflow	NOUN
ajst-30223	144	98	(	(	PUNCT
ajst-30223	144	99	m3ꞏh-1	m3ꞏh-1	NOUN
ajst-30223	144	100	)	)	PUNCT
ajst-30223	144	101	2025	2025	NUM
ajst-30223	144	102	449.17	449.17	NUM
ajst-30223	144	103	583.921	583.921	NUM
ajst-30223	144	104	2026	2026	NUM
ajst-30223	144	105	459.54	459.54	NUM
ajst-30223	144	106	597.402	597.402	NUM
ajst-30223	144	107	2027	2027	NUM
ajst-30223	144	108	467.40	467.40	NUM
ajst-30223	144	109	607.620	607.620	NUM
ajst-30223	144	110	2028	2028	NUM
ajst-30223	144	111	473.33	473.33	NUM
ajst-30223	144	112	615.329	615.329	NUM
ajst-30223	144	113	2029	2029	NUM
ajst-30223	144	114	477.78	477.78	NUM
ajst-30223	144	115	621.114	621.114	NUM
ajst-30223	144	116	4	4	NUM
ajst-30223	144	117	.	.	PUNCT
ajst-30223	144	118	model	model	PROPN
ajst-30223	144	119	comparison	comparison	NOUN
ajst-30223	144	120	four	four	NUM
ajst-30223	144	121	different	different	ADJ
ajst-30223	144	122	models	model	NOUN
ajst-30223	144	123	were	be	AUX
ajst-30223	144	124	used	use	VERB
ajst-30223	144	125	to	to	PART
ajst-30223	144	126	calculate	calculate	VERB
ajst-30223	144	127	the	the	DET
ajst-30223	144	128	normal	normal	ADJ
ajst-30223	144	129	water	water	NOUN
ajst-30223	144	130	inflow	inflow	NOUN
ajst-30223	144	131	for	for	ADP
ajst-30223	144	132	the	the	DET
ajst-30223	144	133	coal	coal	NOUN
ajst-30223	144	134	mine	mine	NOUN
ajst-30223	144	135	in	in	ADP
ajst-30223	144	136	the	the	DET
ajst-30223	144	137	years	year	NOUN
ajst-30223	144	138	2025	2025	NUM
ajst-30223	144	139	,	,	PUNCT
ajst-30223	144	140	2026	2026	NUM
ajst-30223	144	141	,	,	PUNCT
ajst-30223	144	142	2027	2027	NUM
ajst-30223	144	143	,	,	PUNCT
ajst-30223	144	144	2028	2028	NUM
ajst-30223	144	145	,	,	PUNCT
ajst-30223	144	146	and	and	CCONJ
ajst-30223	144	147	2029	2029	NUM
ajst-30223	144	148	.	.	PUNCT
ajst-30223	145	1	the	the	DET
ajst-30223	145	2	prediction	prediction	NOUN
ajst-30223	145	3	results	result	VERB
ajst-30223	145	4	from	from	ADP
ajst-30223	145	5	these	these	DET
ajst-30223	145	6	four	four	NUM
ajst-30223	145	7	models	model	NOUN
ajst-30223	145	8	will	will	AUX
ajst-30223	145	9	be	be	AUX
ajst-30223	145	10	compared	compare	VERB
ajst-30223	145	11	and	and	CCONJ
ajst-30223	145	12	analyzed	analyze	VERB
ajst-30223	145	13	.	.	PUNCT
ajst-30223	146	1	the	the	DET
ajst-30223	146	2	process	process	NOUN
ajst-30223	146	3	is	be	AUX
ajst-30223	146	4	summarized	summarize	VERB
ajst-30223	146	5	in	in	ADP
ajst-30223	146	6	301	301	NUM
ajst-30223	146	7	table	table	NOUN
ajst-30223	146	8	8	8	NUM
ajst-30223	146	9	.	.	PUNCT
ajst-30223	146	10	table	table	NOUN
ajst-30223	146	11	8	8	NUM
ajst-30223	146	12	.	.	PUNCT
ajst-30223	147	1	comparison	comparison	NOUN
ajst-30223	147	2	of	of	ADP
ajst-30223	147	3	results	result	NOUN
ajst-30223	147	4	from	from	ADP
ajst-30223	147	5	four	four	NUM
ajst-30223	147	6	models	model	NOUN
ajst-30223	147	7	model	model	VERB
ajst-30223	147	8	absolute	absolute	ADJ
ajst-30223	147	9	error	error	NOUN
ajst-30223	147	10	sum	sum	NOUN
ajst-30223	147	11	(	(	PUNCT
ajst-30223	147	12	m6ꞏh-2	m6ꞏh-2	NOUN
ajst-30223	147	13	)	)	PUNCT
ajst-30223	147	14	relative	relative	ADJ
ajst-30223	147	15	error	error	NOUN
ajst-30223	147	16	sum	sum	NOUN
ajst-30223	147	17	(	(	PUNCT
ajst-30223	147	18	%	%	INTJ
ajst-30223	147	19	)	)	PUNCT
ajst-30223	147	20	standard	standard	ADJ
ajst-30223	147	21	deviation	deviation	NOUN
ajst-30223	147	22	(	(	PUNCT
ajst-30223	147	23	m3ꞏh-1	m3ꞏh-1	NOUN
ajst-30223	147	24	)	)	PUNCT
ajst-30223	147	25	relative	relative	ADJ
ajst-30223	147	26	standard	standard	ADJ
ajst-30223	147	27	deviation	deviation	NOUN
ajst-30223	147	28	(	(	PUNCT
ajst-30223	147	29	%	%	INTJ
ajst-30223	147	30	)	)	PUNCT
ajst-30223	147	31	average	average	ADJ
ajst-30223	147	32	relative	relative	ADJ
ajst-30223	147	33	error	error	NOUN
ajst-30223	147	34	(	(	PUNCT
ajst-30223	147	35	%	%	INTJ
ajst-30223	147	36	)	)	PUNCT
ajst-30223	147	37	average	average	ADJ
ajst-30223	147	38	accuracy	accuracy	NOUN
ajst-30223	147	39	(	(	PUNCT
ajst-30223	147	40	%	%	INTJ
ajst-30223	147	41	)	)	PUNCT
ajst-30223	147	42	modified	modify	VERB
ajst-30223	147	43	exponential	exponential	ADJ
ajst-30223	147	44	model	model	NOUN
ajst-30223	147	45	15454.7528	15454.7528	NUM
ajst-30223	147	46	0.1931	0.1931	NUM
ajst-30223	147	47	41.44	41.44	NUM
ajst-30223	147	48	0.15	0.15	NUM
ajst-30223	147	49	0.111	0.111	NUM
ajst-30223	147	50	90.17	90.17	NUM
ajst-30223	147	51	logistic	logistic	ADJ
ajst-30223	147	52	growth	growth	NOUN
ajst-30223	147	53	model	model	NOUN
ajst-30223	147	54	14055.1413	14055.1413	PROPN
ajst-30223	147	55	0.1217	0.1217	NUM
ajst-30223	147	56	39.52	39.52	NUM
ajst-30223	147	57	0.12	0.12	NUM
ajst-30223	147	58	0.0957	0.0957	NUM
ajst-30223	147	59	91.00	91.00	NUM
ajst-30223	147	60	gompertz	gompertz	NOUN
ajst-30223	147	61	growth	growth	NOUN
ajst-30223	147	62	model	model	NOUN
ajst-30223	147	63	13988.9817	13988.9817	PROPN
ajst-30223	147	64	0.1348	0.1348	NUM
ajst-30223	147	65	39.43	39.43	NUM
ajst-30223	147	66	0.12	0.12	NUM
ajst-30223	147	67	0.0932	0.0932	NUM
ajst-30223	147	68	91.43	91.43	NUM
ajst-30223	147	69	optimal	optimal	ADJ
ajst-30223	147	70	weighted	weight	VERB
ajst-30223	147	71	coefficient	coefficient	NOUN
ajst-30223	147	72	model	model	NOUN
ajst-30223	147	73	13914.0469	13914.0469	NUM
ajst-30223	147	74	0.1337	0.1337	NUM
ajst-30223	147	75	39.32	39.32	NUM
ajst-30223	147	76	0.12	0.12	NUM
ajst-30223	147	77	0.0922	0.0922	NUM
ajst-30223	147	78	91.52	91.52	NUM
ajst-30223	147	79	0	0	NUM
ajst-30223	147	80	1	1	NUM
ajst-30223	147	81	2	2	NUM
ajst-30223	147	82	3	3	NUM
ajst-30223	147	83	4	4	NUM
ajst-30223	147	84	5	5	NUM
ajst-30223	147	85	6	6	NUM
ajst-30223	147	86	7	7	NUM
ajst-30223	147	87	8	8	NUM
ajst-30223	147	88	9	9	NUM
ajst-30223	147	89	10	10	NUM
ajst-30223	147	90	100	100	NUM
ajst-30223	147	91	150	150	NUM
ajst-30223	147	92	200	200	NUM
ajst-30223	147	93	250	250	NUM
ajst-30223	147	94	300	300	NUM
ajst-30223	147	95	350	350	NUM
ajst-30223	147	96	400	400	NUM
ajst-30223	147	97	450	450	NUM
ajst-30223	147	98	500	500	NUM
ajst-30223	147	99	in	in	ADP
ajst-30223	147	100	fl	fl	NUM
ajst-30223	147	101	ow	ow	INTJ
ajst-30223	147	102	o	o	X
ajst-30223	147	103	f	f	PROPN
ajst-30223	147	104	w	w	NOUN
ajst-30223	147	105	at	at	ADP
ajst-30223	147	106	er	er	INTJ
ajst-30223	147	107	/m	/m	ADP
ajst-30223	147	108	3	3	NUM
ajst-30223	147	109	穐	穐	NOUN
ajst-30223	147	110	-1	-1	NOUN
ajst-30223	147	111	time	time	NOUN
ajst-30223	147	112	/	/	SYM
ajst-30223	147	113	a	a	DET
ajst-30223	147	114	actual	actual	ADJ
ajst-30223	147	115	water	water	NOUN
ajst-30223	147	116	inflow	inflow	NOUN
ajst-30223	147	117	amended	amend	VERB
ajst-30223	147	118	index	index	NOUN
ajst-30223	147	119	model	model	NOUN
ajst-30223	147	120	logistic	logistic	ADJ
ajst-30223	147	121	growth	growth	NOUN
ajst-30223	147	122	model	model	NOUN
ajst-30223	147	123	gompertz	gompertz	PROPN
ajst-30223	147	124	growth	growth	PROPN
ajst-30223	147	125	model	model	NOUN
ajst-30223	147	126	hybrid	hybrid	NOUN
ajst-30223	147	127	model	model	NOUN
ajst-30223	147	128	figure	figure	NOUN
ajst-30223	147	129	2	2	NUM
ajst-30223	147	130	.	.	NOUN
ajst-30223	147	131	trend	trend	NOUN
ajst-30223	147	132	graph	graph	NOUN
ajst-30223	147	133	of	of	ADP
ajst-30223	147	134	predictions	prediction	NOUN
ajst-30223	147	135	from	from	ADP
ajst-30223	147	136	the	the	DET
ajst-30223	147	137	four	four	NUM
ajst-30223	147	138	models	model	NOUN
ajst-30223	147	139	logistic	logistic	ADJ
ajst-30223	147	140	growth	growth	NOUN
ajst-30223	147	141	model	model	NOUN
ajst-30223	147	142	amended	amend	VERB
ajst-30223	147	143	index	index	NOUN
ajst-30223	147	144	model	model	NOUN
ajst-30223	147	145	gompertz	gompertz	PROPN
ajst-30223	147	146	growth	growth	PROPN
ajst-30223	147	147	model	model	NOUN
ajst-30223	147	148	hybrid	hybrid	NOUN
ajst-30223	147	149	model	model	NOUN
ajst-30223	147	150	0.900	0.900	NUM
ajst-30223	147	151	0.902	0.902	NUM
ajst-30223	147	152	0.904	0.904	NUM
ajst-30223	147	153	0.906	0.906	NUM
ajst-30223	147	154	0.908	0.908	NUM
ajst-30223	147	155	0.910	0.910	NUM
ajst-30223	147	156	0.912	0.912	NUM
ajst-30223	147	157	0.914	0.914	NUM
ajst-30223	147	158	0.916	0.916	NUM
ajst-30223	147	159	m	m	NOUN
ajst-30223	147	160	ea	ea	ADP
ajst-30223	147	161	n	n	NUM
ajst-30223	147	162	ac	ac	PROPN
ajst-30223	148	1	cu	cu	PROPN
ajst-30223	148	2	ra	ra	PROPN
ajst-30223	148	3	cy	cy	INTJ
ajst-30223	148	4	/%	/%	PROPN
ajst-30223	148	5	mean	mean	PROPN
ajst-30223	149	1	accuracy	accuracy	NOUN
ajst-30223	149	2	model	model	NOUN
ajst-30223	149	3	figure	figure	NOUN
ajst-30223	149	4	3	3	NUM
ajst-30223	149	5	.	.	NOUN
ajst-30223	149	6	comparison	comparison	NOUN
ajst-30223	149	7	of	of	ADP
ajst-30223	149	8	prediction	prediction	NOUN
ajst-30223	149	9	accuracy	accuracy	NOUN
ajst-30223	149	10	among	among	ADP
ajst-30223	149	11	the	the	DET
ajst-30223	149	12	four	four	NUM
ajst-30223	149	13	models	model	NOUN
ajst-30223	149	14	by	by	ADP
ajst-30223	149	15	analyzing	analyze	VERB
ajst-30223	149	16	the	the	DET
ajst-30223	149	17	various	various	ADJ
ajst-30223	149	18	indicators	indicator	NOUN
ajst-30223	149	19	of	of	ADP
ajst-30223	149	20	the	the	DET
ajst-30223	149	21	prediction	prediction	NOUN
ajst-30223	149	22	results	result	VERB
ajst-30223	149	23	from	from	ADP
ajst-30223	149	24	the	the	DET
ajst-30223	149	25	four	four	NUM
ajst-30223	149	26	models	model	NOUN
ajst-30223	149	27	,	,	PUNCT
ajst-30223	149	28	it	it	PRON
ajst-30223	149	29	is	be	AUX
ajst-30223	149	30	observed	observe	VERB
ajst-30223	149	31	that	that	SCONJ
ajst-30223	149	32	the	the	DET
ajst-30223	149	33	optimal	optimal	ADJ
ajst-30223	149	34	weighted	weight	VERB
ajst-30223	149	35	coefficient	coefficient	NOUN
ajst-30223	149	36	model	model	NOUN
ajst-30223	149	37	has	have	VERB
ajst-30223	149	38	a	a	DET
ajst-30223	149	39	higher	high	ADJ
ajst-30223	149	40	average	average	ADJ
ajst-30223	149	41	accuracy	accuracy	NOUN
ajst-30223	149	42	than	than	ADP
ajst-30223	149	43	the	the	DET
ajst-30223	149	44	other	other	ADJ
ajst-30223	149	45	three	three	NUM
ajst-30223	149	46	models	model	NOUN
ajst-30223	149	47	,	,	PUNCT
ajst-30223	149	48	achieving	achieve	VERB
ajst-30223	149	49	an	an	DET
ajst-30223	149	50	average	average	ADJ
ajst-30223	149	51	accuracy	accuracy	NOUN
ajst-30223	149	52	of	of	ADP
ajst-30223	149	53	91.52	91.52	NUM
ajst-30223	149	54	%	%	NOUN
ajst-30223	149	55	.	.	PUNCT
ajst-30223	150	1	among	among	ADP
ajst-30223	150	2	them	they	PRON
ajst-30223	150	3	,	,	PUNCT
ajst-30223	150	4	the	the	DET
ajst-30223	150	5	modified	modify	VERB
ajst-30223	150	6	exponential	exponential	ADJ
ajst-30223	150	7	model	model	NOUN
ajst-30223	150	8	has	have	VERB
ajst-30223	150	9	the	the	DET
ajst-30223	150	10	lowest	low	ADJ
ajst-30223	150	11	accuracy	accuracy	NOUN
ajst-30223	150	12	at	at	ADP
ajst-30223	150	13	90.17	90.17	NUM
ajst-30223	150	14	%	%	NOUN
ajst-30223	150	15	.	.	PUNCT
ajst-30223	151	1	additionally	additionally	ADV
ajst-30223	151	2	,	,	PUNCT
ajst-30223	151	3	the	the	DET
ajst-30223	151	4	trends	trend	NOUN
ajst-30223	151	5	of	of	ADP
ajst-30223	151	6	the	the	DET
ajst-30223	151	7	prediction	prediction	NOUN
ajst-30223	151	8	results	result	VERB
ajst-30223	151	9	from	from	ADP
ajst-30223	151	10	the	the	DET
ajst-30223	151	11	four	four	NUM
ajst-30223	151	12	models	model	NOUN
ajst-30223	151	13	,	,	PUNCT
ajst-30223	151	14	as	as	SCONJ
ajst-30223	151	15	shown	show	VERB
ajst-30223	151	16	in	in	ADP
ajst-30223	151	17	figure	figure	NOUN
ajst-30223	151	18	2	2	NUM
ajst-30223	151	19	,	,	PUNCT
ajst-30223	151	20	indicate	indicate	VERB
ajst-30223	151	21	that	that	SCONJ
ajst-30223	151	22	the	the	DET
ajst-30223	151	23	combined	combined	ADJ
ajst-30223	151	24	model	model	NOUN
ajst-30223	151	25	yields	yield	VERB
ajst-30223	151	26	the	the	DET
ajst-30223	151	27	best	good	ADJ
ajst-30223	151	28	prediction	prediction	NOUN
ajst-30223	151	29	results	result	NOUN
ajst-30223	151	30	,	,	PUNCT
ajst-30223	151	31	significantly	significantly	ADV
ajst-30223	151	32	reducing	reduce	VERB
ajst-30223	151	33	errors	error	NOUN
ajst-30223	151	34	and	and	CCONJ
ajst-30223	151	35	improving	improve	VERB
ajst-30223	151	36	prediction	prediction	NOUN
ajst-30223	151	37	accuracy	accuracy	NOUN
ajst-30223	151	38	.	.	PUNCT
ajst-30223	152	1	from	from	ADP
ajst-30223	152	2	the	the	DET
ajst-30223	152	3	calculation	calculation	NOUN
ajst-30223	152	4	results	result	NOUN
ajst-30223	152	5	of	of	ADP
ajst-30223	152	6	the	the	DET
ajst-30223	152	7	aforementioned	aforementioned	ADJ
ajst-30223	152	8	methods	method	NOUN
ajst-30223	152	9	,	,	PUNCT
ajst-30223	152	10	the	the	DET
ajst-30223	152	11	analytical	analytical	ADJ
ajst-30223	152	12	method	method	NOUN
ajst-30223	152	13	predicts	predict	VERB
ajst-30223	152	14	the	the	DET
ajst-30223	152	15	normal	normal	ADJ
ajst-30223	152	16	water	water	NOUN
ajst-30223	152	17	inflow	inflow	NOUN
ajst-30223	152	18	at	at	ADP
ajst-30223	152	19	534.07	534.07	NUM
ajst-30223	152	20	m3	m3	NOUN
ajst-30223	152	21	/	/	SYM
ajst-30223	152	22	h	h	NOUN
ajst-30223	152	23	and	and	CCONJ
ajst-30223	152	24	the	the	DET
ajst-30223	152	25	maximum	maximum	ADJ
ajst-30223	152	26	value	value	NOUN
ajst-30223	152	27	at	at	ADP
ajst-30223	152	28	694.29	694.29	NUM
ajst-30223	152	29	m3	m3	PROPN
ajst-30223	152	30	/	/	SYM
ajst-30223	152	31	h.	h.	PROPN
ajst-30223	152	32	based	base	VERB
ajst-30223	152	33	on	on	ADP
ajst-30223	152	34	nine	nine	NUM
ajst-30223	152	35	years	year	NOUN
ajst-30223	152	36	of	of	ADP
ajst-30223	152	37	measured	measured	ADJ
ajst-30223	152	38	data	datum	NOUN
ajst-30223	152	39	,	,	PUNCT
ajst-30223	152	40	the	the	DET
ajst-30223	152	41	highest	high	ADJ
ajst-30223	152	42	water	water	NOUN
ajst-30223	152	43	inflow	inflow	NOUN
ajst-30223	152	44	302	302	NUM
ajst-30223	152	45	during	during	ADP
ajst-30223	152	46	this	this	DET
ajst-30223	152	47	period	period	NOUN
ajst-30223	152	48	was	be	AUX
ajst-30223	152	49	531	531	NUM
ajst-30223	152	50	m3	m3	NOUN
ajst-30223	152	51	/	/	SYM
ajst-30223	152	52	h	h	NOUN
ajst-30223	152	53	in	in	ADP
ajst-30223	152	54	june	june	PROPN
ajst-30223	152	55	and	and	CCONJ
ajst-30223	152	56	july	july	PROPN
ajst-30223	152	57	of	of	ADP
ajst-30223	152	58	2021	2021	NUM
ajst-30223	152	59	.	.	PUNCT
ajst-30223	153	1	the	the	DET
ajst-30223	153	2	predictions	prediction	NOUN
ajst-30223	153	3	from	from	ADP
ajst-30223	153	4	the	the	DET
ajst-30223	153	5	other	other	ADJ
ajst-30223	153	6	methods	method	NOUN
ajst-30223	153	7	also	also	ADV
ajst-30223	153	8	appear	appear	VERB
ajst-30223	153	9	slightly	slightly	ADV
ajst-30223	153	10	higher	high	ADJ
ajst-30223	153	11	,	,	PUNCT
ajst-30223	153	12	possibly	possibly	ADV
ajst-30223	153	13	due	due	ADP
ajst-30223	153	14	to	to	ADP
ajst-30223	153	15	the	the	DET
ajst-30223	153	16	lack	lack	NOUN
ajst-30223	153	17	of	of	ADP
ajst-30223	153	18	information	information	NOUN
ajst-30223	153	19	regarding	regard	VERB
ajst-30223	153	20	the	the	DET
ajst-30223	153	21	mining	mining	NOUN
ajst-30223	153	22	face	face	NOUN
ajst-30223	153	23	area	area	NOUN
ajst-30223	153	24	for	for	ADP
ajst-30223	153	25	the	the	DET
ajst-30223	153	26	next	next	ADJ
ajst-30223	153	27	five	five	NUM
ajst-30223	153	28	years	year	NOUN
ajst-30223	153	29	when	when	SCONJ
ajst-30223	153	30	applying	apply	VERB
ajst-30223	153	31	the	the	DET
ajst-30223	153	32	analytical	analytical	ADJ
ajst-30223	153	33	method	method	NOUN
ajst-30223	153	34	.	.	PUNCT
ajst-30223	154	1	this	this	PRON
ajst-30223	154	2	could	could	AUX
ajst-30223	154	3	lead	lead	VERB
ajst-30223	154	4	to	to	ADP
ajst-30223	154	5	an	an	DET
ajst-30223	154	6	overestimation	overestimation	NOUN
ajst-30223	154	7	of	of	ADP
ajst-30223	154	8	water	water	NOUN
ajst-30223	154	9	inflow	inflow	NOUN
ajst-30223	154	10	.	.	PUNCT
ajst-30223	155	1	nevertheless	nevertheless	ADV
ajst-30223	155	2	,	,	PUNCT
ajst-30223	155	3	the	the	DET
ajst-30223	155	4	primary	primary	ADJ
ajst-30223	155	5	purpose	purpose	NOUN
ajst-30223	155	6	of	of	ADP
ajst-30223	155	7	the	the	DET
ajst-30223	155	8	analytical	analytical	ADJ
ajst-30223	155	9	method	method	NOUN
ajst-30223	155	10	is	be	AUX
ajst-30223	155	11	to	to	PART
ajst-30223	155	12	verify	verify	VERB
ajst-30223	155	13	whether	whether	SCONJ
ajst-30223	155	14	the	the	DET
ajst-30223	155	15	errors	error	NOUN
ajst-30223	155	16	in	in	ADP
ajst-30223	155	17	other	other	ADJ
ajst-30223	155	18	prediction	prediction	NOUN
ajst-30223	155	19	methods	method	NOUN
ajst-30223	155	20	are	be	AUX
ajst-30223	155	21	excessively	excessively	ADV
ajst-30223	155	22	large	large	ADJ
ajst-30223	155	23	.	.	PUNCT
ajst-30223	156	1	the	the	DET
ajst-30223	156	2	results	result	NOUN
ajst-30223	156	3	from	from	ADP
ajst-30223	156	4	the	the	DET
ajst-30223	156	5	other	other	ADJ
ajst-30223	156	6	methods	method	NOUN
ajst-30223	156	7	differ	differ	VERB
ajst-30223	156	8	significantly	significantly	ADV
ajst-30223	156	9	,	,	PUNCT
ajst-30223	156	10	as	as	SCONJ
ajst-30223	156	11	each	each	DET
ajst-30223	156	12	method	method	NOUN
ajst-30223	156	13	simulates	simulate	VERB
ajst-30223	156	14	the	the	DET
ajst-30223	156	15	actual	actual	ADJ
ajst-30223	156	16	hydrogeological	hydrogeological	ADJ
ajst-30223	156	17	conditions	condition	NOUN
ajst-30223	156	18	to	to	ADP
ajst-30223	156	19	varying	vary	VERB
ajst-30223	156	20	degrees	degree	NOUN
ajst-30223	156	21	,	,	PUNCT
ajst-30223	156	22	resulting	result	VERB
ajst-30223	156	23	in	in	ADP
ajst-30223	156	24	different	different	ADJ
ajst-30223	156	25	parameter	parameter	NOUN
ajst-30223	156	26	estimates	estimate	NOUN
ajst-30223	156	27	.	.	PUNCT
ajst-30223	157	1	as	as	SCONJ
ajst-30223	157	2	shown	show	VERB
ajst-30223	157	3	in	in	ADP
ajst-30223	157	4	figure	figure	NOUN
ajst-30223	157	5	3	3	NUM
ajst-30223	157	6	,	,	PUNCT
ajst-30223	157	7	the	the	DET
ajst-30223	157	8	gompertz	gompertz	NOUN
ajst-30223	157	9	model	model	NOUN
ajst-30223	157	10	within	within	ADP
ajst-30223	157	11	the	the	DET
ajst-30223	157	12	conventional	conventional	ADJ
ajst-30223	157	13	three	three	NUM
ajst-30223	157	14	growth	growth	NOUN
ajst-30223	157	15	curve	curve	NOUN
ajst-30223	157	16	models	model	NOUN
ajst-30223	157	17	has	have	VERB
ajst-30223	157	18	the	the	DET
ajst-30223	157	19	highest	high	ADJ
ajst-30223	157	20	prediction	prediction	NOUN
ajst-30223	157	21	accuracy	accuracy	NOUN
ajst-30223	157	22	at	at	ADP
ajst-30223	157	23	91.43	91.43	NUM
ajst-30223	157	24	%	%	NOUN
ajst-30223	157	25	.	.	PUNCT
ajst-30223	158	1	the	the	DET
ajst-30223	158	2	combined	combined	ADJ
ajst-30223	158	3	model	model	NOUN
ajst-30223	158	4	,	,	PUNCT
ajst-30223	158	5	i.e.	i.e.	X
ajst-30223	158	6	,	,	PUNCT
ajst-30223	158	7	the	the	DET
ajst-30223	158	8	optimal	optimal	ADJ
ajst-30223	158	9	coefficient	coefficient	NOUN
ajst-30223	158	10	method	method	NOUN
ajst-30223	158	11	,	,	PUNCT
ajst-30223	158	12	has	have	VERB
ajst-30223	158	13	higher	high	ADJ
ajst-30223	158	14	prediction	prediction	NOUN
ajst-30223	158	15	accuracy	accuracy	NOUN
ajst-30223	158	16	than	than	ADP
ajst-30223	158	17	the	the	DET
ajst-30223	158	18	gompertz	gompertz	NOUN
ajst-30223	158	19	model	model	NOUN
ajst-30223	158	20	while	while	SCONJ
ajst-30223	158	21	being	be	AUX
ajst-30223	158	22	simpler	simple	ADJ
ajst-30223	158	23	to	to	PART
ajst-30223	158	24	calculate	calculate	VERB
ajst-30223	158	25	.	.	PUNCT
ajst-30223	159	1	therefore	therefore	ADV
ajst-30223	159	2	,	,	PUNCT
ajst-30223	159	3	the	the	DET
ajst-30223	159	4	optimal	optimal	ADJ
ajst-30223	159	5	weighted	weight	VERB
ajst-30223	159	6	coefficient	coefficient	NOUN
ajst-30223	159	7	model	model	NOUN
ajst-30223	159	8	is	be	AUX
ajst-30223	159	9	selected	select	VERB
ajst-30223	159	10	as	as	ADP
ajst-30223	159	11	the	the	DET
ajst-30223	159	12	final	final	ADJ
ajst-30223	159	13	prediction	prediction	NOUN
ajst-30223	159	14	result	result	NOUN
ajst-30223	159	15	,	,	PUNCT
ajst-30223	159	16	with	with	ADP
ajst-30223	159	17	the	the	DET
ajst-30223	159	18	predicted	predict	VERB
ajst-30223	159	19	water	water	NOUN
ajst-30223	159	20	inflow	inflow	NOUN
ajst-30223	159	21	from	from	ADP
ajst-30223	159	22	2025	2025	NUM
ajst-30223	159	23	to	to	ADP
ajst-30223	159	24	2029	2029	NUM
ajst-30223	159	25	being	be	AUX
ajst-30223	159	26	449.17	449.17	NUM
ajst-30223	159	27	m3	m3	PROPN
ajst-30223	159	28	/	/	SYM
ajst-30223	159	29	h	h	PROPN
ajst-30223	159	30	,	,	PUNCT
ajst-30223	159	31	459.54	459.54	NUM
ajst-30223	159	32	m3	m3	PROPN
ajst-30223	159	33	/	/	SYM
ajst-30223	159	34	h	h	NOUN
ajst-30223	159	35	,	,	PUNCT
ajst-30223	159	36	467.40	467.40	NUM
ajst-30223	159	37	m3	m3	PROPN
ajst-30223	159	38	/	/	SYM
ajst-30223	159	39	h	h	NOUN
ajst-30223	159	40	,	,	PUNCT
ajst-30223	159	41	473.33	473.33	NUM
ajst-30223	159	42	m3	m3	PROPN
ajst-30223	159	43	/	/	SYM
ajst-30223	159	44	h	h	NOUN
ajst-30223	159	45	,	,	PUNCT
ajst-30223	159	46	and	and	CCONJ
ajst-30223	159	47	477.78	477.78	NUM
ajst-30223	159	48	m3	m3	PROPN
ajst-30223	159	49	/	/	SYM
ajst-30223	159	50	h	h	NOUN
ajst-30223	159	51	,	,	PUNCT
ajst-30223	159	52	respectively	respectively	ADV
ajst-30223	159	53	.	.	PUNCT
ajst-30223	160	1	5	5	X
ajst-30223	160	2	.	.	PUNCT
ajst-30223	160	3	conclusions	conclusion	NOUN
ajst-30223	160	4	this	this	DET
ajst-30223	160	5	study	study	NOUN
ajst-30223	160	6	focuses	focus	VERB
ajst-30223	160	7	on	on	ADP
ajst-30223	160	8	a	a	DET
ajst-30223	160	9	coal	coal	NOUN
ajst-30223	160	10	mine	mine	NOUN
ajst-30223	160	11	in	in	ADP
ajst-30223	160	12	shanxi	shanxi	PROPN
ajst-30223	160	13	,	,	PUNCT
ajst-30223	160	14	using	use	VERB
ajst-30223	160	15	monthly	monthly	ADJ
ajst-30223	160	16	water	water	NOUN
ajst-30223	160	17	inflow	inflow	NOUN
ajst-30223	160	18	data	datum	NOUN
ajst-30223	160	19	from	from	ADP
ajst-30223	160	20	2016	2016	NUM
ajst-30223	160	21	to	to	ADP
ajst-30223	160	22	2024	2024	NUM
ajst-30223	160	23	along	along	ADP
ajst-30223	160	24	with	with	ADP
ajst-30223	160	25	other	other	ADJ
ajst-30223	160	26	information	information	NOUN
ajst-30223	160	27	to	to	PART
ajst-30223	160	28	explore	explore	VERB
ajst-30223	160	29	the	the	DET
ajst-30223	160	30	hydrogeological	hydrogeological	ADJ
ajst-30223	160	31	conditions	condition	NOUN
ajst-30223	160	32	of	of	ADP
ajst-30223	160	33	the	the	DET
ajst-30223	160	34	coal	coal	NOUN
ajst-30223	160	35	mine	mine	NOUN
ajst-30223	160	36	in	in	ADP
ajst-30223	160	37	depth	depth	NOUN
ajst-30223	160	38	.	.	PUNCT
ajst-30223	161	1	the	the	DET
ajst-30223	161	2	average	average	ADJ
ajst-30223	161	3	water	water	NOUN
ajst-30223	161	4	inflow	inflow	NOUN
ajst-30223	161	5	of	of	ADP
ajst-30223	161	6	the	the	DET
ajst-30223	161	7	coal	coal	NOUN
ajst-30223	161	8	at	at	ADP
ajst-30223	161	9	no	no	NOUN
ajst-30223	161	10	.	.	PROPN
ajst-30223	161	11	4	4	NUM
ajst-30223	161	12	was	be	AUX
ajst-30223	161	13	taken	take	VERB
ajst-30223	161	14	as	as	ADP
ajst-30223	161	15	a	a	DET
ajst-30223	161	16	reference	reference	NOUN
ajst-30223	161	17	for	for	ADP
ajst-30223	161	18	using	use	VERB
ajst-30223	161	19	the	the	DET
ajst-30223	161	20	analytical	analytical	ADJ
ajst-30223	161	21	method	method	NOUN
ajst-30223	161	22	.	.	PUNCT
ajst-30223	162	1	additionally	additionally	ADV
ajst-30223	162	2	,	,	PUNCT
ajst-30223	162	3	the	the	DET
ajst-30223	162	4	gray	gray	ADJ
ajst-30223	162	5	system	system	NOUN
ajst-30223	162	6	prediction	prediction	NOUN
ajst-30223	162	7	method	method	NOUN
ajst-30223	162	8	and	and	CCONJ
ajst-30223	162	9	growth	growth	NOUN
ajst-30223	162	10	curve	curve	NOUN
ajst-30223	162	11	model	model	NOUN
ajst-30223	162	12	methods	method	NOUN
ajst-30223	162	13	were	be	AUX
ajst-30223	162	14	employed	employ	VERB
ajst-30223	162	15	to	to	PART
ajst-30223	162	16	scientifically	scientifically	ADV
ajst-30223	162	17	predict	predict	VERB
ajst-30223	162	18	the	the	DET
ajst-30223	162	19	future	future	ADJ
ajst-30223	162	20	water	water	NOUN
ajst-30223	162	21	inflow	inflow	NOUN
ajst-30223	162	22	of	of	ADP
ajst-30223	162	23	the	the	DET
ajst-30223	162	24	mining	mining	NOUN
ajst-30223	162	25	area	area	NOUN
ajst-30223	162	26	.	.	PUNCT
ajst-30223	163	1	the	the	DET
ajst-30223	163	2	prediction	prediction	NOUN
ajst-30223	163	3	accuracies	accuracy	NOUN
ajst-30223	163	4	of	of	ADP
ajst-30223	163	5	both	both	CCONJ
ajst-30223	163	6	the	the	DET
ajst-30223	163	7	gray	gray	ADJ
ajst-30223	163	8	system	system	NOUN
ajst-30223	163	9	prediction	prediction	NOUN
ajst-30223	163	10	method	method	NOUN
ajst-30223	163	11	and	and	CCONJ
ajst-30223	163	12	growth	growth	NOUN
ajst-30223	163	13	curve	curve	NOUN
ajst-30223	163	14	model	model	NOUN
ajst-30223	163	15	methods	method	NOUN
ajst-30223	163	16	were	be	AUX
ajst-30223	163	17	computed	compute	VERB
ajst-30223	163	18	,	,	PUNCT
ajst-30223	163	19	and	and	CCONJ
ajst-30223	163	20	the	the	DET
ajst-30223	163	21	growth	growth	NOUN
ajst-30223	163	22	curve	curve	NOUN
ajst-30223	163	23	model	model	NOUN
ajst-30223	163	24	method	method	NOUN
ajst-30223	163	25	with	with	ADP
ajst-30223	163	26	the	the	DET
ajst-30223	163	27	highest	high	ADJ
ajst-30223	163	28	accuracy	accuracy	NOUN
ajst-30223	163	29	was	be	AUX
ajst-30223	163	30	ultimately	ultimately	ADV
ajst-30223	163	31	selected	select	VERB
ajst-30223	163	32	as	as	ADP
ajst-30223	163	33	the	the	DET
ajst-30223	163	34	final	final	ADJ
ajst-30223	163	35	prediction	prediction	NOUN
ajst-30223	163	36	result	result	NOUN
ajst-30223	163	37	.	.	PUNCT
ajst-30223	164	1	the	the	DET
ajst-30223	164	2	main	main	ADJ
ajst-30223	164	3	conclusions	conclusion	NOUN
ajst-30223	164	4	are	be	AUX
ajst-30223	164	5	as	as	SCONJ
ajst-30223	164	6	follows	follow	VERB
ajst-30223	164	7	:	:	PUNCT
ajst-30223	164	8	(	(	PUNCT
ajst-30223	164	9	1	1	X
ajst-30223	164	10	)	)	PUNCT
ajst-30223	164	11	the	the	DET
ajst-30223	164	12	large	large	ADJ
ajst-30223	164	13	well	well	NOUN
ajst-30223	164	14	method	method	NOUN
ajst-30223	164	15	predicted	predict	VERB
ajst-30223	164	16	the	the	DET
ajst-30223	164	17	average	average	ADJ
ajst-30223	164	18	water	water	NOUN
ajst-30223	164	19	inflow	inflow	NOUN
ajst-30223	164	20	of	of	ADP
ajst-30223	164	21	the	the	DET
ajst-30223	164	22	no	no	NOUN
ajst-30223	164	23	.	.	PROPN
ajst-30223	164	24	4	4	NUM
ajst-30223	164	25	coal	coal	NOUN
ajst-30223	164	26	seam	seam	NOUN
ajst-30223	164	27	during	during	ADP
ajst-30223	164	28	normal	normal	ADJ
ajst-30223	164	29	mining	mining	NOUN
ajst-30223	164	30	at	at	ADP
ajst-30223	164	31	417.07	417.07	NUM
ajst-30223	164	32	m3	m3	PROPN
ajst-30223	164	33	/	/	SYM
ajst-30223	164	34	h	h	NOUN
ajst-30223	164	35	and	and	CCONJ
ajst-30223	164	36	estimated	estimate	VERB
ajst-30223	164	37	that	that	SCONJ
ajst-30223	164	38	the	the	DET
ajst-30223	164	39	water	water	NOUN
ajst-30223	164	40	inflow	inflow	NOUN
ajst-30223	164	41	in	in	ADP
ajst-30223	164	42	the	the	DET
ajst-30223	164	43	coal	coal	NOUN
ajst-30223	164	44	mine	mine	NOUN
ajst-30223	164	45	would	would	AUX
ajst-30223	164	46	reach	reach	VERB
ajst-30223	164	47	534.07	534.07	NUM
ajst-30223	164	48	m3	m3	NOUN
ajst-30223	164	49	/	/	SYM
ajst-30223	164	50	h	h	NOUN
ajst-30223	164	51	when	when	SCONJ
ajst-30223	164	52	only	only	ADV
ajst-30223	164	53	one	one	NUM
ajst-30223	164	54	mining	mining	NOUN
ajst-30223	164	55	area	area	NOUN
ajst-30223	164	56	is	be	AUX
ajst-30223	164	57	in	in	ADP
ajst-30223	164	58	operation	operation	NOUN
ajst-30223	164	59	,	,	PUNCT
ajst-30223	164	60	with	with	ADP
ajst-30223	164	61	a	a	DET
ajst-30223	164	62	maximum	maximum	ADJ
ajst-30223	164	63	water	water	NOUN
ajst-30223	164	64	inflow	inflow	NOUN
ajst-30223	164	65	of	of	ADP
ajst-30223	164	66	about	about	ADV
ajst-30223	164	67	694.29	694.29	NUM
ajst-30223	164	68	m3	m3	PROPN
ajst-30223	164	69	/	/	SYM
ajst-30223	164	70	h.	h.	PROPN
ajst-30223	164	71	(	(	PUNCT
ajst-30223	164	72	2	2	X
ajst-30223	164	73	)	)	PUNCT
ajst-30223	164	74	the	the	DET
ajst-30223	164	75	water	water	NOUN
ajst-30223	164	76	inflow	inflow	NOUN
ajst-30223	164	77	predictions	prediction	NOUN
ajst-30223	164	78	were	be	AUX
ajst-30223	164	79	made	make	VERB
ajst-30223	164	80	using	use	VERB
ajst-30223	164	81	the	the	DET
ajst-30223	164	82	modified	modify	VERB
ajst-30223	164	83	exponential	exponential	ADJ
ajst-30223	164	84	model	model	NOUN
ajst-30223	164	85	,	,	PUNCT
ajst-30223	164	86	logistic	logistic	ADJ
ajst-30223	164	87	model	model	NOUN
ajst-30223	164	88	,	,	PUNCT
ajst-30223	164	89	gompertz	gompertz	NOUN
ajst-30223	164	90	model	model	NOUN
ajst-30223	164	91	,	,	PUNCT
ajst-30223	164	92	and	and	CCONJ
ajst-30223	164	93	a	a	DET
ajst-30223	164	94	combined	combined	ADJ
ajst-30223	164	95	model	model	NOUN
ajst-30223	164	96	with	with	ADP
ajst-30223	164	97	higher	high	ADJ
ajst-30223	164	98	accuracy	accuracy	NOUN
ajst-30223	164	99	.	.	PUNCT
ajst-30223	165	1	the	the	DET
ajst-30223	165	2	prediction	prediction	NOUN
ajst-30223	165	3	accuracy	accuracy	NOUN
ajst-30223	165	4	of	of	ADP
ajst-30223	165	5	the	the	DET
ajst-30223	165	6	modified	modify	VERB
ajst-30223	165	7	exponential	exponential	ADJ
ajst-30223	165	8	model	model	NOUN
ajst-30223	165	9	was	be	AUX
ajst-30223	165	10	90.17	90.17	NUM
ajst-30223	165	11	%	%	NOUN
ajst-30223	165	12	,	,	PUNCT
ajst-30223	165	13	while	while	SCONJ
ajst-30223	165	14	the	the	DET
ajst-30223	165	15	logistic	logistic	ADJ
ajst-30223	165	16	model	model	NOUN
ajst-30223	165	17	achieved	achieve	VERB
ajst-30223	165	18	an	an	DET
ajst-30223	165	19	accuracy	accuracy	NOUN
ajst-30223	165	20	of	of	ADP
ajst-30223	165	21	91	91	NUM
ajst-30223	165	22	%	%	NOUN
ajst-30223	165	23	.	.	PUNCT
ajst-30223	166	1	the	the	DET
ajst-30223	166	2	gompertz	gompertz	PROPN
ajst-30223	166	3	model	model	NOUN
ajst-30223	166	4	had	have	VERB
ajst-30223	166	5	a	a	DET
ajst-30223	166	6	prediction	prediction	NOUN
ajst-30223	166	7	accuracy	accuracy	NOUN
ajst-30223	166	8	of	of	ADP
ajst-30223	166	9	91.43	91.43	NUM
ajst-30223	166	10	%	%	NOUN
ajst-30223	166	11	,	,	PUNCT
ajst-30223	166	12	and	and	CCONJ
ajst-30223	166	13	the	the	DET
ajst-30223	166	14	combined	combined	ADJ
ajst-30223	166	15	model	model	NOUN
ajst-30223	166	16	(	(	PUNCT
ajst-30223	166	17	optimal	optimal	ADJ
ajst-30223	166	18	coefficient	coefficient	NOUN
ajst-30223	166	19	method	method	NOUN
ajst-30223	166	20	)	)	PUNCT
ajst-30223	166	21	reached	reach	VERB
ajst-30223	166	22	91.52	91.52	NUM
ajst-30223	166	23	%	%	NOUN
ajst-30223	166	24	.	.	PUNCT
ajst-30223	167	1	thus	thus	ADV
ajst-30223	167	2	,	,	PUNCT
ajst-30223	167	3	the	the	DET
ajst-30223	167	4	combined	combined	ADJ
ajst-30223	167	5	model	model	NOUN
ajst-30223	167	6	is	be	AUX
ajst-30223	167	7	determined	determine	VERB
ajst-30223	167	8	to	to	PART
ajst-30223	167	9	be	be	AUX
ajst-30223	167	10	the	the	DET
ajst-30223	167	11	most	most	ADV
ajst-30223	167	12	accurate	accurate	ADJ
ajst-30223	167	13	for	for	ADP
ajst-30223	167	14	this	this	DET
ajst-30223	167	15	coal	coal	NOUN
ajst-30223	167	16	mine	mine	NOUN
ajst-30223	167	17	.	.	PUNCT
ajst-30223	168	1	(	(	PUNCT
ajst-30223	168	2	3	3	X
ajst-30223	168	3	)	)	PUNCT
ajst-30223	168	4	according	accord	VERB
ajst-30223	168	5	to	to	ADP
ajst-30223	168	6	the	the	DET
ajst-30223	168	7	predictions	prediction	NOUN
ajst-30223	168	8	from	from	ADP
ajst-30223	168	9	the	the	DET
ajst-30223	168	10	combined	combine	VERB
ajst-30223	168	11	model	model	NOUN
ajst-30223	168	12	,	,	PUNCT
ajst-30223	168	13	the	the	DET
ajst-30223	168	14	water	water	NOUN
ajst-30223	168	15	inflow	inflow	NOUN
ajst-30223	168	16	from	from	ADP
ajst-30223	168	17	2025	2025	NUM
ajst-30223	168	18	to	to	ADP
ajst-30223	168	19	2029	2029	NUM
ajst-30223	168	20	will	will	AUX
ajst-30223	168	21	be	be	AUX
ajst-30223	168	22	449.17	449.17	NUM
ajst-30223	168	23	m3	m3	PROPN
ajst-30223	168	24	/	/	SYM
ajst-30223	168	25	h	h	PROPN
ajst-30223	168	26	,	,	PUNCT
ajst-30223	168	27	459.54	459.54	NUM
ajst-30223	168	28	m3	m3	PROPN
ajst-30223	168	29	/	/	SYM
ajst-30223	168	30	h	h	NOUN
ajst-30223	168	31	,	,	PUNCT
ajst-30223	168	32	467.40	467.40	NUM
ajst-30223	168	33	m3	m3	PROPN
ajst-30223	168	34	/	/	SYM
ajst-30223	168	35	h	h	NOUN
ajst-30223	168	36	,	,	PUNCT
ajst-30223	168	37	473.33	473.33	NUM
ajst-30223	168	38	m3	m3	PROPN
ajst-30223	168	39	/	/	SYM
ajst-30223	168	40	h	h	NOUN
ajst-30223	168	41	,	,	PUNCT
ajst-30223	168	42	and	and	CCONJ
ajst-30223	168	43	477.78	477.78	NUM
ajst-30223	168	44	m3	m3	PROPN
ajst-30223	168	45	/	/	SYM
ajst-30223	168	46	h	h	NOUN
ajst-30223	168	47	,	,	PUNCT
ajst-30223	168	48	respectively	respectively	ADV
ajst-30223	168	49	.	.	PUNCT
ajst-30223	169	1	(	(	PUNCT
ajst-30223	169	2	4	4	X
ajst-30223	169	3	)	)	PUNCT
ajst-30223	169	4	the	the	DET
ajst-30223	169	5	results	result	NOUN
ajst-30223	169	6	of	of	ADP
ajst-30223	169	7	this	this	DET
ajst-30223	169	8	study	study	NOUN
ajst-30223	169	9	provide	provide	VERB
ajst-30223	169	10	a	a	DET
ajst-30223	169	11	reasonable	reasonable	ADJ
ajst-30223	169	12	and	and	CCONJ
ajst-30223	169	13	effective	effective	ADJ
ajst-30223	169	14	water	water	NOUN
ajst-30223	169	15	inflow	inflow	NOUN
ajst-30223	169	16	calculation	calculation	NOUN
ajst-30223	169	17	method	method	NOUN
ajst-30223	169	18	for	for	ADP
ajst-30223	169	19	the	the	DET
ajst-30223	169	20	mine	mine	NOUN
ajst-30223	169	21	and	and	CCONJ
ajst-30223	169	22	hold	hold	VERB
ajst-30223	169	23	certain	certain	ADJ
ajst-30223	169	24	reference	reference	NOUN
ajst-30223	169	25	value	value	NOUN
ajst-30223	169	26	for	for	ADP
ajst-30223	169	27	predicting	predict	VERB
ajst-30223	169	28	water	water	NOUN
ajst-30223	169	29	inflow	inflow	NOUN
ajst-30223	169	30	in	in	ADP
ajst-30223	169	31	similar	similar	ADJ
ajst-30223	169	32	mines	mine	NOUN
ajst-30223	169	33	.	.	PUNCT
ajst-30223	170	1	references	reference	NOUN
ajst-30223	170	2	[	[	X
ajst-30223	170	3	1	1	NUM
ajst-30223	170	4	]	]	PUNCT
ajst-30223	170	5	b.	b.	PROPN
ajst-30223	170	6	li	li	PROPN
ajst-30223	170	7	,	,	PUNCT
ajst-30223	170	8	h.	h.	PROPN
ajst-30223	170	9	wu	wu	PROPN
ajst-30223	170	10	,	,	PUNCT
ajst-30223	170	11	p.	p.	PROPN
ajst-30223	170	12	liu	liu	PROPN
ajst-30223	170	13	,	,	PUNCT
ajst-30223	170	14	j.	j.	PROPN
ajst-30223	170	15	fan	fan	PROPN
ajst-30223	170	16	,	,	PUNCT
ajst-30223	170	17	and	and	CCONJ
ajst-30223	170	18	t.	t.	PROPN
ajst-30223	170	19	li	li	PROPN
ajst-30223	170	20	,	,	PUNCT
ajst-30223	170	21	“	"	PUNCT
ajst-30223	170	22	construction	construction	NOUN
ajst-30223	170	23	and	and	CCONJ
ajst-30223	170	24	application	application	NOUN
ajst-30223	170	25	of	of	ADP
ajst-30223	170	26	mine	mine	ADJ
ajst-30223	170	27	water	water	NOUN
ajst-30223	170	28	inflow	inflow	NOUN
ajst-30223	170	29	prediction	prediction	NOUN
ajst-30223	170	30	model	model	NOUN
ajst-30223	170	31	based	base	VERB
ajst-30223	170	32	on	on	ADP
ajst-30223	170	33	multi	multi	ADJ
ajst-30223	170	34	-	-	ADJ
ajst-30223	170	35	factor	factor	NOUN
ajst-30223	170	36	weighted	weight	VERB
ajst-30223	170	37	regression	regression	NOUN
ajst-30223	170	38	:	:	PUNCT
ajst-30223	170	39	wulunshan	wulunshan	ADP
ajst-30223	170	40	coal	coal	NOUN
ajst-30223	170	41	mine	mine	NOUN
ajst-30223	170	42	case	case	NOUN
ajst-30223	170	43	,	,	PUNCT
ajst-30223	170	44	”	"	PUNCT
ajst-30223	170	45	earth	earth	PROPN
ajst-30223	170	46	sci	sci	PROPN
ajst-30223	170	47	.	.	PUNCT
ajst-30223	171	1	inform	inform	NOUN
ajst-30223	171	2	.	.	PUNCT
ajst-30223	171	3	,	,	PUNCT
ajst-30223	171	4	mar	mar	PROPN
ajst-30223	171	5	.	.	PROPN
ajst-30223	171	6	2023	2023	NUM
ajst-30223	171	7	.	.	PUNCT
ajst-30223	172	1	[	[	X
ajst-30223	172	2	2	2	NUM
ajst-30223	172	3	]	]	PUNCT
ajst-30223	172	4	k.	k.	PROPN
ajst-30223	172	5	zhang	zhang	PROPN
ajst-30223	172	6	,	,	PUNCT
ajst-30223	172	7	b.	b.	PROPN
ajst-30223	172	8	cao	cao	PROPN
ajst-30223	172	9	,	,	PUNCT
ajst-30223	172	10	g.	g.	PROPN
ajst-30223	172	11	lin	lin	PROPN
ajst-30223	172	12	,	,	PUNCT
ajst-30223	172	13	and	and	CCONJ
ajst-30223	172	14	m.	m.	NOUN
ajst-30223	172	15	zhao	zhao	PROPN
ajst-30223	172	16	,	,	PUNCT
ajst-30223	172	17	“	"	PUNCT
ajst-30223	172	18	using	use	VERB
ajst-30223	172	19	multiple	multiple	ADJ
ajst-30223	172	20	methods	method	NOUN
ajst-30223	172	21	to	to	PART
ajst-30223	172	22	predict	predict	VERB
ajst-30223	172	23	mine	mine	NOUN
ajst-30223	172	24	water	water	NOUN
ajst-30223	172	25	inflow	inflow	NOUN
ajst-30223	172	26	in	in	ADP
ajst-30223	172	27	the	the	DET
ajst-30223	172	28	pingdingshan	pingdingshan	NOUN
ajst-30223	172	29	no	no	INTJ
ajst-30223	172	30	.	.	PUNCT
ajst-30223	172	31	10	10	NUM
ajst-30223	172	32	coal	coal	NOUN
ajst-30223	172	33	mine	mine	NOUN
ajst-30223	172	34	,	,	PUNCT
ajst-30223	172	35	china	china	PROPN
ajst-30223	172	36	,	,	PUNCT
ajst-30223	172	37	”	"	PUNCT
ajst-30223	172	38	mine	mine	NOUN
ajst-30223	172	39	water	water	NOUN
ajst-30223	172	40	environ	environ	PROPN
ajst-30223	172	41	.	.	PROPN
ajst-30223	172	42	,	,	PUNCT
ajst-30223	172	43	vol	vol	NOUN
ajst-30223	172	44	.	.	PROPN
ajst-30223	172	45	36	36	NUM
ajst-30223	172	46	,	,	PUNCT
ajst-30223	172	47	no	no	INTJ
ajst-30223	172	48	.	.	NOUN
ajst-30223	172	49	1	1	NUM
ajst-30223	172	50	,	,	PUNCT
ajst-30223	172	51	pp	pp	ADJ
ajst-30223	172	52	.	.	PUNCT
ajst-30223	173	1	154–160	154–160	NUM
ajst-30223	173	2	,	,	PUNCT
ajst-30223	173	3	mar	mar	PROPN
ajst-30223	173	4	.	.	PROPN
ajst-30223	173	5	2017	2017	NUM
ajst-30223	173	6	.	.	PUNCT
ajst-30223	174	1	[	[	X
ajst-30223	174	2	3	3	NUM
ajst-30223	174	3	]	]	PUNCT
ajst-30223	174	4	x.	x.	NOUN
ajst-30223	174	5	wang	wang	PROPN
ajst-30223	174	6	,	,	PUNCT
ajst-30223	174	7	“	"	PUNCT
ajst-30223	174	8	present	present	ADJ
ajst-30223	174	9	situation	situation	NOUN
ajst-30223	174	10	and	and	CCONJ
ajst-30223	174	11	development	development	NOUN
ajst-30223	174	12	trend	trend	NOUN
ajst-30223	174	13	of	of	ADP
ajst-30223	174	14	coal	coal	NOUN
ajst-30223	174	15	mine	mine	NOUN
ajst-30223	174	16	discharge	discharge	NOUN
ajst-30223	174	17	forecast	forecast	NOUN
ajst-30223	174	18	method	method	NOUN
ajst-30223	174	19	,	,	PUNCT
ajst-30223	174	20	”	"	PUNCT
ajst-30223	174	21	science	science	NOUN
ajst-30223	174	22	technology	technology	NOUN
ajst-30223	174	23	and	and	CCONJ
ajst-30223	174	24	engineering	engineering	NOUN
ajst-30223	174	25	,	,	PUNCT
ajst-30223	174	26	vol	vol	NOUN
ajst-30223	174	27	.	.	PROPN
ajst-30223	174	28	20	20	NUM
ajst-30223	174	29	,	,	PUNCT
ajst-30223	174	30	no	no	INTJ
ajst-30223	174	31	.	.	NOUN
ajst-30223	174	32	30	30	NUM
ajst-30223	174	33	,	,	PUNCT
ajst-30223	174	34	pp	pp	ADJ
ajst-30223	174	35	.	.	PUNCT
ajst-30223	175	1	12255–12267	12255–12267	NUM
ajst-30223	175	2	,	,	PUNCT
ajst-30223	175	3	2020	2020	NUM
ajst-30223	175	4	.	.	PUNCT
ajst-30223	176	1	[	[	X
ajst-30223	176	2	4	4	X
ajst-30223	176	3	]	]	X
ajst-30223	176	4	e.	e.	PROPN
ajst-30223	176	5	peng	peng	PROPN
ajst-30223	176	6	,	,	PUNCT
ajst-30223	176	7	“	"	PUNCT
ajst-30223	176	8	prediction	prediction	NOUN
ajst-30223	176	9	of	of	ADP
ajst-30223	176	10	mine	mine	ADJ
ajst-30223	176	11	water	water	NOUN
ajst-30223	176	12	inflow	inflow	NOUN
ajst-30223	176	13	in	in	ADP
ajst-30223	176	14	zhongtai	zhongtai	ADJ
ajst-30223	176	15	coal	coal	NOUN
ajst-30223	176	16	mine	mine	NOUN
ajst-30223	176	17	of	of	ADP
ajst-30223	176	18	hebi	hebi	PROPN
ajst-30223	176	19	city	city	PROPN
ajst-30223	176	20	,	,	PUNCT
ajst-30223	176	21	”	"	PUNCT
ajst-30223	176	22	master	master	NOUN
ajst-30223	176	23	degree	degree	NOUN
ajst-30223	176	24	thesis	thesis	NOUN
ajst-30223	176	25	,	,	PUNCT
ajst-30223	176	26	henan	henan	PROPN
ajst-30223	176	27	polytechnic	polytechnic	PROPN
ajst-30223	176	28	university	university	PROPN
ajst-30223	176	29	,	,	PUNCT
ajst-30223	176	30	2014	2014	NUM
ajst-30223	176	31	.	.	PUNCT