id	sid	tid	token	lemma	pos
bibechana-57736	1	1	bibechana	bibechana	PROPN
bibechana-57736	1	2	vol	vol	NOUN
bibechana-57736	1	3	.	.	PROPN
bibechana-57736	2	1	20	20	NUM
bibechana-57736	2	2	,	,	PUNCT
bibechana-57736	2	3	no	no	INTJ
bibechana-57736	2	4	.	.	NOUN
bibechana-57736	2	5	3	3	NUM
bibechana-57736	2	6	,	,	PUNCT
bibechana-57736	2	7	december	december	PROPN
bibechana-57736	2	8	2023	2023	NUM
bibechana-57736	2	9	,	,	PUNCT
bibechana-57736	2	10	248–258	248–258	NUM
bibechana-57736	2	11	issn	issn	PROPN
bibechana-57736	2	12	2091	2091	NUM
bibechana-57736	2	13	-	-	SYM
bibechana-57736	2	14	0762	0762	NUM
bibechana-57736	2	15	(	(	PUNCT
bibechana-57736	2	16	print	print	NOUN
bibechana-57736	2	17	)	)	PUNCT
bibechana-57736	2	18	,	,	PUNCT
bibechana-57736	2	19	2382	2382	NUM
bibechana-57736	2	20	-	-	SYM
bibechana-57736	2	21	5340	5340	NUM
bibechana-57736	2	22	(	(	PUNCT
bibechana-57736	2	23	online	online	ADJ
bibechana-57736	2	24	)	)	PUNCT
bibechana-57736	2	25	journal	journal	NOUN
bibechana-57736	2	26	homepage	homepage	NOUN
bibechana-57736	2	27	:	:	PUNCT
bibechana-57736	2	28	http://nepjol.info/index.php/bibechana	http://nepjol.info/index.php/bibechana	PROPN
bibechana-57736	2	29	publisher	publisher	NOUN
bibechana-57736	2	30	:	:	PUNCT
bibechana-57736	2	31	dept	dept	NOUN
bibechana-57736	2	32	.	.	PROPN
bibechana-57736	2	33	of	of	ADP
bibechana-57736	2	34	phys	phy	NOUN
bibechana-57736	2	35	.	.	PUNCT
bibechana-57736	2	36	,	,	PUNCT
bibechana-57736	3	1	mahendra	mahendra	PROPN
bibechana-57736	3	2	morang	morang	PROPN
bibechana-57736	3	3	a.	a.	PROPN
bibechana-57736	3	4	m.	m.	PROPN
bibechana-57736	3	5	campus	campus	PROPN
bibechana-57736	3	6	(	(	PUNCT
bibechana-57736	3	7	tribhuvan	tribhuvan	NOUN
bibechana-57736	3	8	university)biratnagar	university)biratnagar	NUM
bibechana-57736	3	9	time	time	NOUN
bibechana-57736	3	10	and	and	CCONJ
bibechana-57736	3	11	space	space	NOUN
bibechana-57736	3	12	domain	domain	NOUN
bibechana-57736	3	13	prediction	prediction	NOUN
bibechana-57736	3	14	of	of	ADP
bibechana-57736	3	15	water	water	NOUN
bibechana-57736	3	16	quality	quality	NOUN
bibechana-57736	3	17	parameters	parameter	NOUN
bibechana-57736	3	18	of	of	ADP
bibechana-57736	3	19	bagmati	bagmati	PROPN
bibechana-57736	3	20	river	river	PROPN
bibechana-57736	3	21	using	use	VERB
bibechana-57736	3	22	deep	deep	ADJ
bibechana-57736	3	23	learning	learning	NOUN
bibechana-57736	3	24	methods	method	NOUN
bibechana-57736	3	25	pujan	pujan	PROPN
bibechana-57736	3	26	bashyal1	bashyal1	PROPN
bibechana-57736	3	27	,	,	PUNCT
bibechana-57736	3	28	mandira	mandira	PROPN
bibechana-57736	3	29	pradhananga	pradhananga	PROPN
bibechana-57736	3	30	adhikari2,∗	adhikari2,∗	PROPN
bibechana-57736	3	31	,	,	PUNCT
bibechana-57736	3	32	nanda	nanda	ADJ
bibechana-57736	3	33	bikram	bikram	PROPN
bibechana-57736	3	34	adhikari1	adhikari1	PROPN
bibechana-57736	3	35	1department	1department	NUM
bibechana-57736	3	36	of	of	ADP
bibechana-57736	3	37	electronics	electronic	NOUN
bibechana-57736	3	38	and	and	CCONJ
bibechana-57736	3	39	computer	computer	NOUN
bibechana-57736	3	40	engineering	engineering	NOUN
bibechana-57736	3	41	,	,	PUNCT
bibechana-57736	3	42	pulchowk	pulchowk	NOUN
bibechana-57736	3	43	campus	campus	PROPN
bibechana-57736	3	44	,	,	PUNCT
bibechana-57736	3	45	institute	institute	NOUN
bibechana-57736	3	46	of	of	ADP
bibechana-57736	3	47	engineering	engineering	PROPN
bibechana-57736	3	48	(	(	PUNCT
bibechana-57736	3	49	ioe),tribhuvan	ioe),tribhuvan	PROPN
bibechana-57736	3	50	university	university	NOUN
bibechana-57736	3	51	,	,	PUNCT
bibechana-57736	3	52	lalitpur	lalitpur	PROPN
bibechana-57736	3	53	,	,	PUNCT
bibechana-57736	3	54	nepal	nepal	ADJ
bibechana-57736	3	55	2central	2central	NUM
bibechana-57736	3	56	department	department	NOUN
bibechana-57736	3	57	of	of	ADP
bibechana-57736	3	58	chemistry	chemistry	NOUN
bibechana-57736	3	59	,	,	PUNCT
bibechana-57736	3	60	tribhuvan	tribhuvan	PROPN
bibechana-57736	3	61	university	university	PROPN
bibechana-57736	3	62	,	,	PUNCT
bibechana-57736	3	63	kirtipur	kirtipur	NOUN
bibechana-57736	3	64	,	,	PUNCT
bibechana-57736	3	65	kathmandu	kathmandu	NOUN
bibechana-57736	3	66	,	,	PUNCT
bibechana-57736	3	67	nepal	nepal	ADJ
bibechana-57736	3	68	∗corresponding	∗corresponde	VERB
bibechana-57736	3	69	author	author	NOUN
bibechana-57736	3	70	.	.	PUNCT
bibechana-57736	4	1	email	email	NOUN
bibechana-57736	4	2	:	:	PUNCT
bibechana-57736	4	3	mandira43@hotmail.com;adhikari@ioe.edu.np	mandira43@hotmail.com;adhikari@ioe.edu.np	ADJ
bibechana-57736	4	4	abstract	abstract	ADJ
bibechana-57736	4	5	bagmati	bagmati	PROPN
bibechana-57736	4	6	river	river	PROPN
bibechana-57736	4	7	is	be	AUX
bibechana-57736	4	8	biologically	biologically	ADV
bibechana-57736	4	9	,	,	PUNCT
bibechana-57736	4	10	geologically	geologically	ADV
bibechana-57736	4	11	,	,	PUNCT
bibechana-57736	4	12	religiously	religiously	ADV
bibechana-57736	4	13	and	and	CCONJ
bibechana-57736	4	14	historically	historically	ADV
bibechana-57736	4	15	significant	significant	ADJ
bibechana-57736	4	16	among	among	ADP
bibechana-57736	4	17	the	the	DET
bibechana-57736	4	18	river	river	NOUN
bibechana-57736	4	19	systems	system	NOUN
bibechana-57736	4	20	of	of	ADP
bibechana-57736	4	21	the	the	DET
bibechana-57736	4	22	kathmandu	kathmandu	PROPN
bibechana-57736	4	23	valley	valley	NOUN
bibechana-57736	4	24	.	.	PUNCT
bibechana-57736	5	1	the	the	DET
bibechana-57736	5	2	river	river	NOUN
bibechana-57736	5	3	is	be	AUX
bibechana-57736	5	4	affected	affect	VERB
bibechana-57736	5	5	by	by	ADP
bibechana-57736	5	6	five	five	NUM
bibechana-57736	5	7	major	major	ADJ
bibechana-57736	5	8	tributaries	tributary	NOUN
bibechana-57736	5	9	,	,	PUNCT
bibechana-57736	5	10	including	include	VERB
bibechana-57736	5	11	manohara	manohara	NOUN
bibechana-57736	5	12	,	,	PUNCT
bibechana-57736	5	13	dhobi	dhobi	PROPN
bibechana-57736	5	14	khola	khola	PROPN
bibechana-57736	5	15	,	,	PUNCT
bibechana-57736	5	16	tukucha	tukucha	PROPN
bibechana-57736	5	17	,	,	PUNCT
bibechana-57736	5	18	bishnumati	bishnumati	NOUN
bibechana-57736	5	19	,	,	PUNCT
bibechana-57736	5	20	and	and	CCONJ
bibechana-57736	5	21	balkhu	balkhu	PROPN
bibechana-57736	5	22	khola	khola	PROPN
bibechana-57736	5	23	,	,	PUNCT
bibechana-57736	5	24	which	which	PRON
bibechana-57736	5	25	significantly	significantly	ADV
bibechana-57736	5	26	impact	impact	VERB
bibechana-57736	5	27	the	the	DET
bibechana-57736	5	28	water	water	NOUN
bibechana-57736	5	29	chemistry	chemistry	NOUN
bibechana-57736	5	30	inside	inside	ADP
bibechana-57736	5	31	the	the	DET
bibechana-57736	5	32	kathmandu	kathmandu	PROPN
bibechana-57736	5	33	valley	valley	NOUN
bibechana-57736	5	34	.	.	PUNCT
bibechana-57736	6	1	the	the	DET
bibechana-57736	6	2	data	datum	NOUN
bibechana-57736	6	3	of	of	ADP
bibechana-57736	6	4	water	water	NOUN
bibechana-57736	6	5	quality	quality	NOUN
bibechana-57736	6	6	parameters	parameter	NOUN
bibechana-57736	6	7	ph	ph	VERB
bibechana-57736	6	8	,	,	PUNCT
bibechana-57736	6	9	dissolved	dissolve	VERB
bibechana-57736	6	10	oxygen	oxygen	NOUN
bibechana-57736	6	11	,	,	PUNCT
bibechana-57736	6	12	turbidity	turbidity	NOUN
bibechana-57736	6	13	,	,	PUNCT
bibechana-57736	6	14	temperature	temperature	NOUN
bibechana-57736	6	15	,	,	PUNCT
bibechana-57736	6	16	oxygen	oxygen	NOUN
bibechana-57736	6	17	reduction	reduction	NOUN
bibechana-57736	6	18	potential	potential	NOUN
bibechana-57736	6	19	,	,	PUNCT
bibechana-57736	6	20	conductivity	conductivity	NOUN
bibechana-57736	6	21	,	,	PUNCT
bibechana-57736	6	22	total	total	ADJ
bibechana-57736	6	23	dissolved	dissolve	VERB
bibechana-57736	6	24	solids	solid	NOUN
bibechana-57736	6	25	,	,	PUNCT
bibechana-57736	6	26	salinity	salinity	NOUN
bibechana-57736	6	27	among	among	ADP
bibechana-57736	6	28	others	other	NOUN
bibechana-57736	6	29	was	be	AUX
bibechana-57736	6	30	collected	collect	VERB
bibechana-57736	6	31	using	use	VERB
bibechana-57736	6	32	fixed	fix	VERB
bibechana-57736	6	33	sensors	sensor	NOUN
bibechana-57736	6	34	(	(	PUNCT
bibechana-57736	6	35	in	in	ADP
bibechana-57736	6	36	period	period	NOUN
bibechana-57736	6	37	of	of	ADP
bibechana-57736	6	38	5	5	NUM
bibechana-57736	6	39	seconds	second	NOUN
bibechana-57736	6	40	)	)	PUNCT
bibechana-57736	6	41	and	and	CCONJ
bibechana-57736	6	42	mobile	mobile	ADJ
bibechana-57736	6	43	sensors	sensor	NOUN
bibechana-57736	6	44	(	(	PUNCT
bibechana-57736	6	45	with	with	ADP
bibechana-57736	6	46	latitude	latitude	NOUN
bibechana-57736	6	47	and	and	CCONJ
bibechana-57736	6	48	longitude	longitude	NOUN
bibechana-57736	6	49	)	)	PUNCT
bibechana-57736	6	50	along	along	ADP
bibechana-57736	6	51	the	the	DET
bibechana-57736	6	52	river	river	NOUN
bibechana-57736	6	53	.	.	PUNCT
bibechana-57736	7	1	the	the	DET
bibechana-57736	7	2	observation	observation	NOUN
bibechana-57736	7	3	is	be	AUX
bibechana-57736	7	4	important	important	ADJ
bibechana-57736	7	5	for	for	ADP
bibechana-57736	7	6	two	two	NUM
bibechana-57736	7	7	reasons	reason	NOUN
bibechana-57736	7	8	,	,	PUNCT
bibechana-57736	7	9	one	one	NUM
bibechana-57736	7	10	because	because	SCONJ
bibechana-57736	7	11	it	it	PRON
bibechana-57736	7	12	was	be	AUX
bibechana-57736	7	13	collected	collect	VERB
bibechana-57736	7	14	in	in	ADP
bibechana-57736	7	15	real	real	ADJ
bibechana-57736	7	16	-	-	PUNCT
bibechana-57736	7	17	time	time	NOUN
bibechana-57736	7	18	and	and	CCONJ
bibechana-57736	7	19	fine	fine	ADJ
bibechana-57736	7	20	scale	scale	NOUN
bibechana-57736	7	21	,	,	PUNCT
bibechana-57736	7	22	which	which	PRON
bibechana-57736	7	23	is	be	AUX
bibechana-57736	7	24	not	not	PART
bibechana-57736	7	25	normally	normally	ADV
bibechana-57736	7	26	possible	possible	ADJ
bibechana-57736	7	27	with	with	ADP
bibechana-57736	7	28	traditional	traditional	ADJ
bibechana-57736	7	29	ways	way	NOUN
bibechana-57736	7	30	,	,	PUNCT
bibechana-57736	7	31	and	and	CCONJ
bibechana-57736	7	32	next	next	ADJ
bibechana-57736	7	33	such	such	ADJ
bibechana-57736	7	34	observation	observation	NOUN
bibechana-57736	7	35	was	be	AUX
bibechana-57736	7	36	done	do	VERB
bibechana-57736	7	37	for	for	ADP
bibechana-57736	7	38	the	the	DET
bibechana-57736	7	39	first	first	ADJ
bibechana-57736	7	40	time	time	NOUN
bibechana-57736	7	41	in	in	ADP
bibechana-57736	7	42	bagmati	bagmati	PROPN
bibechana-57736	7	43	river	river	PROPN
bibechana-57736	7	44	.	.	PUNCT
bibechana-57736	8	1	the	the	DET
bibechana-57736	8	2	aim	aim	NOUN
bibechana-57736	8	3	of	of	ADP
bibechana-57736	8	4	this	this	DET
bibechana-57736	8	5	study	study	NOUN
bibechana-57736	8	6	was	be	AUX
bibechana-57736	8	7	to	to	PART
bibechana-57736	8	8	predict	predict	VERB
bibechana-57736	8	9	water	water	NOUN
bibechana-57736	8	10	quality	quality	NOUN
bibechana-57736	8	11	parameters	parameter	NOUN
bibechana-57736	8	12	of	of	ADP
bibechana-57736	8	13	the	the	DET
bibechana-57736	8	14	bagmati	bagmati	PROPN
bibechana-57736	8	15	river	river	PROPN
bibechana-57736	8	16	using	use	VERB
bibechana-57736	8	17	machine	machine	NOUN
bibechana-57736	8	18	learning	learning	NOUN
bibechana-57736	8	19	time	time	NOUN
bibechana-57736	8	20	series	series	PROPN
bibechana-57736	8	21	models	model	NOUN
bibechana-57736	8	22	,	,	PUNCT
bibechana-57736	8	23	specifically	specifically	ADV
bibechana-57736	8	24	arima	arima	PROPN
bibechana-57736	8	25	and	and	CCONJ
bibechana-57736	8	26	lstm	lstm	PROPN
bibechana-57736	8	27	.	.	PUNCT
bibechana-57736	9	1	the	the	DET
bibechana-57736	9	2	lstm	lstm	PROPN
bibechana-57736	9	3	model	model	NOUN
bibechana-57736	9	4	was	be	AUX
bibechana-57736	9	5	designed	design	VERB
bibechana-57736	9	6	with	with	ADP
bibechana-57736	9	7	one	one	NUM
bibechana-57736	9	8	input	input	NOUN
bibechana-57736	9	9	layer	layer	NOUN
bibechana-57736	9	10	,	,	PUNCT
bibechana-57736	9	11	one	one	NUM
bibechana-57736	9	12	encoder	encoder	NOUN
bibechana-57736	9	13	layer	layer	NOUN
bibechana-57736	9	14	,	,	PUNCT
bibechana-57736	9	15	one	one	NUM
bibechana-57736	9	16	repeat	repeat	NOUN
bibechana-57736	9	17	layer	layer	NOUN
bibechana-57736	9	18	,	,	PUNCT
bibechana-57736	9	19	one	one	NUM
bibechana-57736	9	20	decoder	decoder	NOUN
bibechana-57736	9	21	layer	layer	NOUN
bibechana-57736	9	22	,	,	PUNCT
bibechana-57736	9	23	and	and	CCONJ
bibechana-57736	9	24	one	one	NUM
bibechana-57736	9	25	output	output	NOUN
bibechana-57736	9	26	dense	dense	ADJ
bibechana-57736	9	27	layer	layer	NOUN
bibechana-57736	9	28	to	to	PART
bibechana-57736	9	29	separate	separate	VERB
bibechana-57736	9	30	the	the	DET
bibechana-57736	9	31	output	output	NOUN
bibechana-57736	9	32	into	into	ADP
bibechana-57736	9	33	temporal	temporal	ADJ
bibechana-57736	9	34	slices	slice	NOUN
bibechana-57736	9	35	.	.	PUNCT
bibechana-57736	10	1	additionally	additionally	ADV
bibechana-57736	10	2	,	,	PUNCT
bibechana-57736	10	3	a	a	DET
bibechana-57736	10	4	dnn	dnn	PROPN
bibechana-57736	10	5	model	model	NOUN
bibechana-57736	10	6	was	be	AUX
bibechana-57736	10	7	employed	employ	VERB
bibechana-57736	10	8	for	for	ADP
bibechana-57736	10	9	location	location	NOUN
bibechana-57736	10	10	-	-	PUNCT
bibechana-57736	10	11	based	base	VERB
bibechana-57736	10	12	prediction	prediction	NOUN
bibechana-57736	10	13	,	,	PUNCT
bibechana-57736	10	14	utilizing	utilize	VERB
bibechana-57736	10	15	two	two	NUM
bibechana-57736	10	16	input	input	NOUN
bibechana-57736	10	17	layers	layer	NOUN
bibechana-57736	10	18	for	for	ADP
bibechana-57736	10	19	latitude	latitude	NOUN
bibechana-57736	10	20	and	and	CCONJ
bibechana-57736	10	21	longitude	longitude	NOUN
bibechana-57736	10	22	and	and	CCONJ
bibechana-57736	10	23	seven	seven	NUM
bibechana-57736	10	24	output	output	NOUN
bibechana-57736	10	25	layers	layer	NOUN
bibechana-57736	10	26	for	for	ADP
bibechana-57736	10	27	the	the	DET
bibechana-57736	10	28	seven	seven	NUM
bibechana-57736	10	29	water	water	NOUN
bibechana-57736	10	30	quality	quality	NOUN
bibechana-57736	10	31	parameters	parameter	NOUN
bibechana-57736	10	32	considered	consider	VERB
bibechana-57736	10	33	for	for	ADP
bibechana-57736	10	34	study	study	NOUN
bibechana-57736	10	35	.	.	PUNCT
bibechana-57736	11	1	the	the	DET
bibechana-57736	11	2	models	model	NOUN
bibechana-57736	11	3	demonstrated	demonstrate	VERB
bibechana-57736	11	4	promising	promising	ADJ
bibechana-57736	11	5	performance	performance	NOUN
bibechana-57736	11	6	,	,	PUNCT
bibechana-57736	11	7	but	but	CCONJ
bibechana-57736	11	8	further	further	ADJ
bibechana-57736	11	9	data	datum	NOUN
bibechana-57736	11	10	collection	collection	NOUN
bibechana-57736	11	11	and	and	CCONJ
bibechana-57736	11	12	parameter	parameter	NOUN
bibechana-57736	11	13	variation	variation	NOUN
bibechana-57736	11	14	are	be	AUX
bibechana-57736	11	15	recommended	recommend	VERB
bibechana-57736	11	16	for	for	ADP
bibechana-57736	11	17	continued	continue	VERB
bibechana-57736	11	18	optimization	optimization	NOUN
bibechana-57736	11	19	.	.	PUNCT
bibechana-57736	12	1	keywords	keyword	VERB
bibechana-57736	12	2	arima	arima	PROPN
bibechana-57736	12	3	,	,	PUNCT
bibechana-57736	12	4	dnn	dnn	PROPN
bibechana-57736	12	5	,	,	PUNCT
bibechana-57736	12	6	lstm	lstm	ADJ
bibechana-57736	12	7	,	,	PUNCT
bibechana-57736	12	8	spatial	spatial	ADJ
bibechana-57736	12	9	prediction	prediction	NOUN
bibechana-57736	12	10	,	,	PUNCT
bibechana-57736	12	11	temporal	temporal	ADJ
bibechana-57736	12	12	prediction	prediction	NOUN
bibechana-57736	12	13	,	,	PUNCT
bibechana-57736	12	14	time	time	NOUN
bibechana-57736	12	15	series	series	NOUN
bibechana-57736	12	16	models	model	NOUN
bibechana-57736	12	17	.	.	PUNCT
bibechana-57736	13	1	article	article	NOUN
bibechana-57736	13	2	information	information	PROPN
bibechana-57736	13	3	manuscript	manuscript	PROPN
bibechana-57736	13	4	received	receive	VERB
bibechana-57736	13	5	:	:	PUNCT
bibechana-57736	13	6	august	august	PROPN
bibechana-57736	13	7	18	18	NUM
bibechana-57736	13	8	,	,	PUNCT
bibechana-57736	13	9	2023	2023	NUM
bibechana-57736	13	10	;	;	PUNCT
bibechana-57736	13	11	accepted	accept	VERB
bibechana-57736	13	12	:	:	PUNCT
bibechana-57736	13	13	september	september	PROPN
bibechana-57736	13	14	14	14	NUM
bibechana-57736	13	15	,	,	PUNCT
bibechana-57736	13	16	2023	2023	NUM
bibechana-57736	13	17	doi	doi	X
bibechana-57736	13	18	https://doi.org/10.3126/bibechana.v20i3.57736	https://doi.org/10.3126/bibechana.v20i3.57736	NOUN
bibechana-57736	13	19	this	this	DET
bibechana-57736	13	20	work	work	NOUN
bibechana-57736	13	21	is	be	AUX
bibechana-57736	13	22	licensed	license	VERB
bibechana-57736	13	23	under	under	ADP
bibechana-57736	13	24	the	the	DET
bibechana-57736	13	25	creative	creative	ADJ
bibechana-57736	13	26	commons	common	NOUN
bibechana-57736	13	27	cc	cc	ADP
bibechana-57736	13	28	by	by	ADP
bibechana-57736	13	29	-	-	PUNCT
bibechana-57736	13	30	nc	nc	NOUN
bibechana-57736	13	31	license	license	NOUN
bibechana-57736	13	32	.	.	PUNCT
bibechana-57736	14	1	https://creativecommons	https://creativecommon	NOUN
bibechana-57736	14	2	.	.	PUNCT
bibechana-57736	14	3	org	org	ADJ
bibechana-57736	14	4	/	/	SYM
bibechana-57736	14	5	licenses	license	NOUN
bibechana-57736	14	6	/	/	SYM
bibechana-57736	14	7	by	by	ADP
bibechana-57736	14	8	-	-	PUNCT
bibechana-57736	14	9	nc/4.0/	nc/4.0/	NOUN
bibechana-57736	14	10	248	248	NUM
bibechana-57736	14	11	http://nepjol.info/index.php/bibechana	http://nepjol.info/index.php/bibechana	PROPN
bibechana-57736	14	12	mandira43@hotmail.com;adhikari@ioe.edu.np	mandira43@hotmail.com;adhikari@ioe.edu.np	ADJ
bibechana-57736	14	13	https://doi.org/10.3126/bibechana.v20i3.57736	https://doi.org/10.3126/bibechana.v20i3.57736	NOUN
bibechana-57736	14	14	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	ADP
bibechana-57736	14	15	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	PROPN
bibechana-57736	14	16	pujan	pujan	NOUN
bibechana-57736	14	17	bashyal	bashyal	NOUN
bibechana-57736	14	18	et	et	PROPN
bibechana-57736	14	19	al./	al./	ADV
bibechana-57736	14	20	bibechana	bibechana	PROPN
bibechana-57736	14	21	20	20	NUM
bibechana-57736	14	22	(	(	PUNCT
bibechana-57736	14	23	2023	2023	NUM
bibechana-57736	14	24	)	)	PUNCT
bibechana-57736	14	25	248	248	NUM
bibechana-57736	14	26	-	-	SYM
bibechana-57736	14	27	258	258	NUM
bibechana-57736	14	28	249	249	NUM
bibechana-57736	14	29	1	1	NUM
bibechana-57736	14	30	introduction	introduction	NOUN
bibechana-57736	14	31	the	the	DET
bibechana-57736	14	32	bagmati	bagmati	PROPN
bibechana-57736	14	33	river	river	PROPN
bibechana-57736	14	34	holds	hold	VERB
bibechana-57736	14	35	tremendous	tremendous	ADJ
bibechana-57736	14	36	religious	religious	ADJ
bibechana-57736	14	37	,	,	PUNCT
bibechana-57736	14	38	historical	historical	ADJ
bibechana-57736	14	39	,	,	PUNCT
bibechana-57736	14	40	and	and	CCONJ
bibechana-57736	14	41	ecological	ecological	ADJ
bibechana-57736	14	42	significance	significance	NOUN
bibechana-57736	14	43	in	in	ADP
bibechana-57736	14	44	nepal	nepal	NOUN
bibechana-57736	14	45	.	.	PUNCT
bibechana-57736	15	1	originating	originate	VERB
bibechana-57736	15	2	from	from	ADP
bibechana-57736	15	3	the	the	DET
bibechana-57736	15	4	shivapuri	shivapuri	PROPN
bibechana-57736	15	5	hills	hills	PROPN
bibechana-57736	15	6	,	,	PUNCT
bibechana-57736	15	7	this	this	DET
bibechana-57736	15	8	river	river	NOUN
bibechana-57736	15	9	passes	pass	VERB
bibechana-57736	15	10	through	through	ADP
bibechana-57736	15	11	the	the	DET
bibechana-57736	15	12	culturally	culturally	ADV
bibechana-57736	15	13	important	important	ADJ
bibechana-57736	15	14	pashupatinath	pashupatinath	NOUN
bibechana-57736	15	15	temple	temple	NOUN
bibechana-57736	15	16	and	and	CCONJ
bibechana-57736	15	17	other	other	ADJ
bibechana-57736	15	18	areas	area	NOUN
bibechana-57736	15	19	in	in	ADP
bibechana-57736	15	20	the	the	DET
bibechana-57736	15	21	kathmandu	kathmandu	NOUN
bibechana-57736	15	22	valley	valley	NOUN
bibechana-57736	15	23	.	.	PUNCT
bibechana-57736	16	1	unfortunately	unfortunately	ADV
bibechana-57736	16	2	,	,	PUNCT
bibechana-57736	16	3	the	the	DET
bibechana-57736	16	4	remarkable	remarkable	ADJ
bibechana-57736	16	5	growth	growth	NOUN
bibechana-57736	16	6	of	of	ADP
bibechana-57736	16	7	population	population	NOUN
bibechana-57736	16	8	and	and	CCONJ
bibechana-57736	16	9	unplanned	unplanned	ADJ
bibechana-57736	16	10	urbanization	urbanization	NOUN
bibechana-57736	16	11	in	in	ADP
bibechana-57736	16	12	the	the	DET
bibechana-57736	16	13	kathmandu	kathmandu	PROPN
bibechana-57736	16	14	valley	valley	NOUN
bibechana-57736	16	15	has	have	AUX
bibechana-57736	16	16	led	lead	VERB
bibechana-57736	16	17	to	to	ADP
bibechana-57736	16	18	severe	severe	ADJ
bibechana-57736	16	19	deterioration	deterioration	NOUN
bibechana-57736	16	20	of	of	ADP
bibechana-57736	16	21	the	the	DET
bibechana-57736	16	22	bagmati	bagmati	PROPN
bibechana-57736	16	23	’s	’s	PART
bibechana-57736	16	24	water	water	NOUN
bibechana-57736	16	25	quality	quality	NOUN
bibechana-57736	16	26	[	[	X
bibechana-57736	16	27	1	1	NUM
bibechana-57736	16	28	]	]	PUNCT
bibechana-57736	16	29	.	.	PUNCT
bibechana-57736	17	1	the	the	DET
bibechana-57736	17	2	water	water	NOUN
bibechana-57736	17	3	pollution	pollution	NOUN
bibechana-57736	17	4	poses	pose	VERB
bibechana-57736	17	5	major	major	ADJ
bibechana-57736	17	6	environmental	environmental	ADJ
bibechana-57736	17	7	and	and	CCONJ
bibechana-57736	17	8	health	health	NOUN
bibechana-57736	17	9	hazards	hazard	NOUN
bibechana-57736	17	10	,	,	PUNCT
bibechana-57736	17	11	demanding	demand	VERB
bibechana-57736	17	12	urgent	urgent	ADJ
bibechana-57736	17	13	assessment	assessment	NOUN
bibechana-57736	17	14	and	and	CCONJ
bibechana-57736	17	15	remediation	remediation	NOUN
bibechana-57736	17	16	.	.	PUNCT
bibechana-57736	18	1	periodic	periodic	ADJ
bibechana-57736	18	2	measurement	measurement	NOUN
bibechana-57736	18	3	of	of	ADP
bibechana-57736	18	4	critical	critical	ADJ
bibechana-57736	18	5	water	water	NOUN
bibechana-57736	18	6	quality	quality	NOUN
bibechana-57736	18	7	parameters	parameter	NOUN
bibechana-57736	18	8	like	like	ADP
bibechana-57736	18	9	ph	ph	NOUN
bibechana-57736	18	10	,	,	PUNCT
bibechana-57736	18	11	dissolved	dissolve	VERB
bibechana-57736	18	12	oxygen	oxygen	NOUN
bibechana-57736	18	13	,	,	PUNCT
bibechana-57736	18	14	temperature	temperature	NOUN
bibechana-57736	18	15	,	,	PUNCT
bibechana-57736	18	16	turbidity	turbidity	NOUN
bibechana-57736	18	17	etc	etc	X
bibechana-57736	18	18	.	.	X
bibechana-57736	18	19	provides	provide	VERB
bibechana-57736	18	20	vital	vital	ADJ
bibechana-57736	18	21	insights	insight	NOUN
bibechana-57736	18	22	into	into	ADP
bibechana-57736	18	23	the	the	DET
bibechana-57736	18	24	pollution	pollution	NOUN
bibechana-57736	18	25	levels	level	NOUN
bibechana-57736	18	26	and	and	CCONJ
bibechana-57736	18	27	overall	overall	ADJ
bibechana-57736	18	28	river	river	NOUN
bibechana-57736	18	29	health	health	NOUN
bibechana-57736	18	30	.	.	PUNCT
bibechana-57736	19	1	however	however	ADV
bibechana-57736	19	2	,	,	PUNCT
bibechana-57736	19	3	the	the	DET
bibechana-57736	19	4	conventional	conventional	ADJ
bibechana-57736	19	5	methods	method	NOUN
bibechana-57736	19	6	of	of	ADP
bibechana-57736	19	7	manual	manual	ADJ
bibechana-57736	19	8	sample	sample	NOUN
bibechana-57736	19	9	collection	collection	NOUN
bibechana-57736	19	10	and	and	CCONJ
bibechana-57736	19	11	lab	lab	NOUN
bibechana-57736	19	12	-	-	PUNCT
bibechana-57736	19	13	based	base	VERB
bibechana-57736	19	14	analysis	analysis	NOUN
bibechana-57736	19	15	are	be	AUX
bibechana-57736	19	16	extremely	extremely	ADV
bibechana-57736	19	17	time	time	NOUN
bibechana-57736	19	18	-	-	PUNCT
bibechana-57736	19	19	consuming	consume	VERB
bibechana-57736	19	20	,	,	PUNCT
bibechana-57736	19	21	labor	labor	NOUN
bibechana-57736	19	22	-	-	PUNCT
bibechana-57736	19	23	intensive	intensive	ADJ
bibechana-57736	19	24	and	and	CCONJ
bibechana-57736	19	25	expensive	expensive	ADJ
bibechana-57736	19	26	.	.	PUNCT
bibechana-57736	20	1	the	the	DET
bibechana-57736	20	2	sparse	sparse	ADJ
bibechana-57736	20	3	,	,	PUNCT
bibechana-57736	20	4	delayed	delay	VERB
bibechana-57736	20	5	data	datum	NOUN
bibechana-57736	20	6	obtained	obtain	VERB
bibechana-57736	20	7	through	through	ADP
bibechana-57736	20	8	traditional	traditional	ADJ
bibechana-57736	20	9	monitoring	monitoring	NOUN
bibechana-57736	20	10	is	be	AUX
bibechana-57736	20	11	insufficient	insufficient	ADJ
bibechana-57736	20	12	to	to	PART
bibechana-57736	20	13	capture	capture	VERB
bibechana-57736	20	14	the	the	DET
bibechana-57736	20	15	high	high	ADJ
bibechana-57736	20	16	-	-	PUNCT
bibechana-57736	20	17	resolution	resolution	NOUN
bibechana-57736	20	18	spatio	spatio	NOUN
bibechana-57736	20	19	-	-	PUNCT
bibechana-57736	20	20	temporal	temporal	ADJ
bibechana-57736	20	21	dynamics	dynamic	NOUN
bibechana-57736	20	22	of	of	ADP
bibechana-57736	20	23	a	a	DET
bibechana-57736	20	24	complex	complex	ADJ
bibechana-57736	20	25	river	river	NOUN
bibechana-57736	20	26	system	system	NOUN
bibechana-57736	20	27	[	[	X
bibechana-57736	20	28	1	1	NUM
bibechana-57736	20	29	]	]	PUNCT
bibechana-57736	20	30	.	.	PUNCT
bibechana-57736	21	1	recent	recent	ADJ
bibechana-57736	21	2	technological	technological	ADJ
bibechana-57736	21	3	advances	advance	NOUN
bibechana-57736	21	4	have	have	AUX
bibechana-57736	21	5	enabled	enable	VERB
bibechana-57736	21	6	real	real	ADJ
bibechana-57736	21	7	-	-	PUNCT
bibechana-57736	21	8	time	time	NOUN
bibechana-57736	21	9	,	,	PUNCT
bibechana-57736	21	10	automatic	automatic	ADJ
bibechana-57736	21	11	and	and	CCONJ
bibechana-57736	21	12	fine	fine	ADJ
bibechana-57736	21	13	-	-	PUNCT
bibechana-57736	21	14	scale	scale	NOUN
bibechana-57736	21	15	sensing	sensing	NOUN
bibechana-57736	21	16	of	of	ADP
bibechana-57736	21	17	water	water	NOUN
bibechana-57736	21	18	quality	quality	NOUN
bibechana-57736	21	19	through	through	ADP
bibechana-57736	21	20	fixed	fix	VERB
bibechana-57736	21	21	and	and	CCONJ
bibechana-57736	21	22	mobile	mobile	ADJ
bibechana-57736	21	23	probes	probe	NOUN
bibechana-57736	21	24	.	.	PUNCT
bibechana-57736	22	1	additionally	additionally	ADV
bibechana-57736	22	2	,	,	PUNCT
bibechana-57736	22	3	machine	machine	NOUN
bibechana-57736	22	4	learning	learning	NOUN
bibechana-57736	22	5	models	model	NOUN
bibechana-57736	22	6	like	like	ADP
bibechana-57736	22	7	long	long	ADJ
bibechana-57736	22	8	shortterm	shortterm	NOUN
bibechana-57736	22	9	memory	memory	NOUN
bibechana-57736	22	10	(	(	PUNCT
bibechana-57736	22	11	lstm	lstm	NOUN
bibechana-57736	22	12	)	)	PUNCT
bibechana-57736	22	13	networks	network	NOUN
bibechana-57736	22	14	and	and	CCONJ
bibechana-57736	22	15	deep	deep	ADJ
bibechana-57736	22	16	neural	neural	ADJ
bibechana-57736	22	17	networks	network	NOUN
bibechana-57736	22	18	(	(	PUNCT
bibechana-57736	22	19	dnn	dnn	PROPN
bibechana-57736	22	20	)	)	PUNCT
bibechana-57736	22	21	have	have	AUX
bibechana-57736	22	22	shown	show	VERB
bibechana-57736	22	23	promise	promise	NOUN
bibechana-57736	22	24	in	in	ADP
bibechana-57736	22	25	effectively	effectively	ADV
bibechana-57736	22	26	analyzing	analyze	VERB
bibechana-57736	22	27	and	and	CCONJ
bibechana-57736	22	28	predicting	predict	VERB
bibechana-57736	22	29	water	water	NOUN
bibechana-57736	22	30	quality	quality	NOUN
bibechana-57736	22	31	data	datum	NOUN
bibechana-57736	22	32	.	.	PUNCT
bibechana-57736	23	1	however	however	ADV
bibechana-57736	23	2	,	,	PUNCT
bibechana-57736	23	3	these	these	DET
bibechana-57736	23	4	modern	modern	ADJ
bibechana-57736	23	5	techniques	technique	NOUN
bibechana-57736	23	6	are	be	AUX
bibechana-57736	23	7	yet	yet	ADV
bibechana-57736	23	8	to	to	PART
bibechana-57736	23	9	be	be	AUX
bibechana-57736	23	10	implemented	implement	VERB
bibechana-57736	23	11	or	or	CCONJ
bibechana-57736	23	12	evaluated	evaluate	VERB
bibechana-57736	23	13	for	for	ADP
bibechana-57736	23	14	bagmati	bagmati	PROPN
bibechana-57736	23	15	river	river	PROPN
bibechana-57736	23	16	.	.	PUNCT
bibechana-57736	24	1	therefore	therefore	ADV
bibechana-57736	24	2	,	,	PUNCT
bibechana-57736	24	3	this	this	DET
bibechana-57736	24	4	study	study	NOUN
bibechana-57736	24	5	aims	aim	VERB
bibechana-57736	24	6	to	to	PART
bibechana-57736	24	7	implement	implement	VERB
bibechana-57736	24	8	machine	machine	NOUN
bibechana-57736	24	9	learning	learning	NOUN
bibechana-57736	24	10	models	model	NOUN
bibechana-57736	24	11	on	on	ADP
bibechana-57736	24	12	this	this	DET
bibechana-57736	24	13	data	datum	NOUN
bibechana-57736	24	14	to	to	PART
bibechana-57736	24	15	predict	predict	VERB
bibechana-57736	24	16	the	the	DET
bibechana-57736	24	17	water	water	NOUN
bibechana-57736	24	18	quality	quality	NOUN
bibechana-57736	24	19	parameters	parameter	NOUN
bibechana-57736	24	20	in	in	ADP
bibechana-57736	24	21	time	time	NOUN
bibechana-57736	24	22	and	and	CCONJ
bibechana-57736	24	23	space	space	NOUN
bibechana-57736	24	24	domain	domain	NOUN
bibechana-57736	24	25	.	.	PUNCT
bibechana-57736	25	1	successful	successful	ADJ
bibechana-57736	25	2	implementation	implementation	NOUN
bibechana-57736	25	3	of	of	ADP
bibechana-57736	25	4	this	this	DET
bibechana-57736	25	5	approach	approach	NOUN
bibechana-57736	25	6	can	can	AUX
bibechana-57736	25	7	provide	provide	VERB
bibechana-57736	25	8	an	an	DET
bibechana-57736	25	9	efficient	efficient	ADJ
bibechana-57736	25	10	alternative	alternative	NOUN
bibechana-57736	25	11	to	to	ADP
bibechana-57736	25	12	traditional	traditional	ADJ
bibechana-57736	25	13	techniques	technique	NOUN
bibechana-57736	25	14	for	for	ADP
bibechana-57736	25	15	river	river	NOUN
bibechana-57736	25	16	monitoring	monitoring	NOUN
bibechana-57736	25	17	in	in	ADP
bibechana-57736	25	18	developing	develop	VERB
bibechana-57736	25	19	regions	region	NOUN
bibechana-57736	25	20	facing	face	VERB
bibechana-57736	25	21	resource	resource	NOUN
bibechana-57736	25	22	constraints	constraint	NOUN
bibechana-57736	25	23	.	.	PUNCT
bibechana-57736	26	1	furthermore	furthermore	ADV
bibechana-57736	26	2	,	,	PUNCT
bibechana-57736	26	3	the	the	DET
bibechana-57736	26	4	spatio	spatio	PROPN
bibechana-57736	26	5	-	-	PUNCT
bibechana-57736	26	6	temporal	temporal	ADJ
bibechana-57736	26	7	insights	insight	NOUN
bibechana-57736	26	8	obtained	obtain	VERB
bibechana-57736	26	9	from	from	ADP
bibechana-57736	26	10	data	data	NOUN
bibechana-57736	26	11	-	-	PUNCT
bibechana-57736	26	12	driven	drive	VERB
bibechana-57736	26	13	modelling	modelling	NOUN
bibechana-57736	26	14	can	can	AUX
bibechana-57736	26	15	strengthen	strengthen	VERB
bibechana-57736	26	16	pollution	pollution	NOUN
bibechana-57736	26	17	control	control	NOUN
bibechana-57736	26	18	policies	policy	NOUN
bibechana-57736	26	19	and	and	CCONJ
bibechana-57736	26	20	remediation	remediation	NOUN
bibechana-57736	26	21	efforts	effort	NOUN
bibechana-57736	26	22	for	for	ADP
bibechana-57736	26	23	the	the	DET
bibechana-57736	26	24	bagmati	bagmati	PROPN
bibechana-57736	26	25	river	river	PROPN
bibechana-57736	26	26	.	.	PUNCT
bibechana-57736	27	1	the	the	DET
bibechana-57736	27	2	bagmati	bagmati	PROPN
bibechana-57736	27	3	river	river	PROPN
bibechana-57736	27	4	in	in	ADP
bibechana-57736	27	5	nepal	nepal	ADJ
bibechana-57736	27	6	emerges	emerge	NOUN
bibechana-57736	27	7	as	as	ADP
bibechana-57736	27	8	a	a	DET
bibechana-57736	27	9	critical	critical	ADJ
bibechana-57736	27	10	focus	focus	NOUN
bibechana-57736	27	11	for	for	ADP
bibechana-57736	27	12	management	management	NOUN
bibechana-57736	27	13	due	due	ADP
bibechana-57736	27	14	to	to	ADP
bibechana-57736	27	15	its	its	PRON
bibechana-57736	27	16	alarming	alarming	ADJ
bibechana-57736	27	17	pollution	pollution	NOUN
bibechana-57736	27	18	levels	level	NOUN
bibechana-57736	27	19	.	.	PUNCT
bibechana-57736	28	1	stretching	stretch	VERB
bibechana-57736	28	2	approximately	approximately	ADV
bibechana-57736	28	3	51	51	NUM
bibechana-57736	28	4	kilometers	kilometer	NOUN
bibechana-57736	28	5	through	through	ADP
bibechana-57736	28	6	the	the	DET
bibechana-57736	28	7	culturally	culturally	ADV
bibechana-57736	28	8	significant	significant	ADJ
bibechana-57736	28	9	kathmandu	kathmandu	NOUN
bibechana-57736	28	10	valley	valley	NOUN
bibechana-57736	28	11	and	and	CCONJ
bibechana-57736	28	12	covering	cover	VERB
bibechana-57736	28	13	a	a	DET
bibechana-57736	28	14	catchment	catchment	NOUN
bibechana-57736	28	15	area	area	NOUN
bibechana-57736	28	16	of	of	ADP
bibechana-57736	28	17	around	around	ADV
bibechana-57736	28	18	678	678	NUM
bibechana-57736	28	19	square	square	ADJ
bibechana-57736	28	20	kilometers	kilometer	NOUN
bibechana-57736	28	21	,	,	PUNCT
bibechana-57736	28	22	this	this	DET
bibechana-57736	28	23	river	river	NOUN
bibechana-57736	28	24	holds	hold	VERB
bibechana-57736	28	25	significant	significant	ADJ
bibechana-57736	28	26	biological	biological	ADJ
bibechana-57736	28	27	,	,	PUNCT
bibechana-57736	28	28	geological	geological	ADJ
bibechana-57736	28	29	,	,	PUNCT
bibechana-57736	28	30	and	and	CCONJ
bibechana-57736	28	31	historical	historical	ADJ
bibechana-57736	28	32	importance	importance	NOUN
bibechana-57736	28	33	.	.	PUNCT
bibechana-57736	29	1	unfortunately	unfortunately	ADV
bibechana-57736	29	2	,	,	PUNCT
bibechana-57736	29	3	it	it	PRON
bibechana-57736	29	4	has	have	AUX
bibechana-57736	29	5	been	be	AUX
bibechana-57736	29	6	significantly	significantly	ADV
bibechana-57736	29	7	impacted	impact	VERB
bibechana-57736	29	8	by	by	ADP
bibechana-57736	29	9	the	the	DET
bibechana-57736	29	10	influx	influx	NOUN
bibechana-57736	29	11	of	of	ADP
bibechana-57736	29	12	pollutants	pollutant	NOUN
bibechana-57736	29	13	from	from	ADP
bibechana-57736	29	14	five	five	NUM
bibechana-57736	29	15	major	major	ADJ
bibechana-57736	29	16	tributaries	tributary	NOUN
bibechana-57736	29	17	–	–	PUNCT
bibechana-57736	29	18	manohara	manohara	ADJ
bibechana-57736	29	19	,	,	PUNCT
bibechana-57736	29	20	dhobi	dhobi	PROPN
bibechana-57736	29	21	khola	khola	PROPN
bibechana-57736	29	22	,	,	PUNCT
bibechana-57736	29	23	tukucha	tukucha	PROPN
bibechana-57736	29	24	,	,	PUNCT
bibechana-57736	29	25	bishnumati	bishnumati	NOUN
bibechana-57736	29	26	,	,	PUNCT
bibechana-57736	29	27	and	and	CCONJ
bibechana-57736	29	28	balkhu	balkhu	PROPN
bibechana-57736	29	29	khola	khola	PROPN
bibechana-57736	29	30	–	–	PUNCT
bibechana-57736	29	31	which	which	PRON
bibechana-57736	29	32	substantially	substantially	ADV
bibechana-57736	29	33	alter	alter	VERB
bibechana-57736	29	34	its	its	PRON
bibechana-57736	29	35	water	water	NOUN
bibechana-57736	29	36	chemistry	chemistry	NOUN
bibechana-57736	29	37	.	.	PUNCT
bibechana-57736	30	1	the	the	DET
bibechana-57736	30	2	uncontrolled	uncontrolled	ADJ
bibechana-57736	30	3	urban	urban	ADJ
bibechana-57736	30	4	growth	growth	NOUN
bibechana-57736	30	5	within	within	ADP
bibechana-57736	30	6	the	the	DET
bibechana-57736	30	7	kathmandu	kathmandu	NOUN
bibechana-57736	30	8	valley	valley	NOUN
bibechana-57736	30	9	has	have	AUX
bibechana-57736	30	10	led	lead	VERB
bibechana-57736	30	11	to	to	ADP
bibechana-57736	30	12	the	the	DET
bibechana-57736	30	13	deterioration	deterioration	NOUN
bibechana-57736	30	14	of	of	ADP
bibechana-57736	30	15	the	the	DET
bibechana-57736	30	16	river	river	NOUN
bibechana-57736	30	17	’s	’s	PART
bibechana-57736	30	18	water	water	NOUN
bibechana-57736	30	19	quality	quality	NOUN
bibechana-57736	30	20	,	,	PUNCT
bibechana-57736	30	21	with	with	ADP
bibechana-57736	30	22	untreated	untreated	ADJ
bibechana-57736	30	23	sewage	sewage	NOUN
bibechana-57736	30	24	and	and	CCONJ
bibechana-57736	30	25	waste	waste	NOUN
bibechana-57736	30	26	being	be	AUX
bibechana-57736	30	27	directly	directly	ADV
bibechana-57736	30	28	discharged	discharge	VERB
bibechana-57736	30	29	into	into	ADP
bibechana-57736	30	30	its	its	PRON
bibechana-57736	30	31	waters	water	NOUN
bibechana-57736	30	32	.	.	PUNCT
bibechana-57736	31	1	the	the	DET
bibechana-57736	31	2	river	river	NOUN
bibechana-57736	31	3	has	have	AUX
bibechana-57736	31	4	devolved	devolve	VERB
bibechana-57736	31	5	into	into	ADP
bibechana-57736	31	6	a	a	DET
bibechana-57736	31	7	repository	repository	NOUN
bibechana-57736	31	8	for	for	ADP
bibechana-57736	31	9	solid	solid	ADJ
bibechana-57736	31	10	waste	waste	NOUN
bibechana-57736	31	11	,	,	PUNCT
bibechana-57736	31	12	untreated	untreated	ADJ
bibechana-57736	31	13	domestic	domestic	ADJ
bibechana-57736	31	14	,	,	PUNCT
bibechana-57736	31	15	industrial	industrial	ADJ
bibechana-57736	31	16	,	,	PUNCT
bibechana-57736	31	17	and	and	CCONJ
bibechana-57736	31	18	agricultural	agricultural	ADJ
bibechana-57736	31	19	effluents	effluent	NOUN
bibechana-57736	31	20	.	.	PUNCT
bibechana-57736	32	1	consequently	consequently	ADV
bibechana-57736	32	2	,	,	PUNCT
bibechana-57736	32	3	accurate	accurate	ADJ
bibechana-57736	32	4	prediction	prediction	NOUN
bibechana-57736	32	5	of	of	ADP
bibechana-57736	32	6	water	water	NOUN
bibechana-57736	32	7	quality	quality	NOUN
bibechana-57736	32	8	parameters	parameter	NOUN
bibechana-57736	32	9	at	at	ADP
bibechana-57736	32	10	various	various	ADJ
bibechana-57736	32	11	gps	gps	NOUN
bibechana-57736	32	12	locations	location	NOUN
bibechana-57736	32	13	along	along	ADP
bibechana-57736	32	14	the	the	DET
bibechana-57736	32	15	bagmati	bagmati	PROPN
bibechana-57736	32	16	river	river	PROPN
bibechana-57736	32	17	is	be	AUX
bibechana-57736	32	18	imperative	imperative	ADJ
bibechana-57736	32	19	for	for	ADP
bibechana-57736	32	20	effective	effective	ADJ
bibechana-57736	32	21	pollution	pollution	NOUN
bibechana-57736	32	22	management	management	NOUN
bibechana-57736	32	23	and	and	CCONJ
bibechana-57736	32	24	mitigation	mitigation	NOUN
bibechana-57736	32	25	.	.	PUNCT
bibechana-57736	33	1	the	the	DET
bibechana-57736	33	2	research	research	NOUN
bibechana-57736	33	3	conducted	conduct	VERB
bibechana-57736	33	4	by	by	ADP
bibechana-57736	33	5	adhikari	adhikari	PROPN
bibechana-57736	33	6	et	et	PROPN
bibechana-57736	33	7	al	al	PROPN
bibechana-57736	33	8	.	.	PUNCT
bibechana-57736	34	1	[	[	X
bibechana-57736	34	2	1	1	X
bibechana-57736	34	3	]	]	PUNCT
bibechana-57736	34	4	endeavors	endeavor	NOUN
bibechana-57736	34	5	to	to	PART
bibechana-57736	34	6	comprehensively	comprehensively	ADV
bibechana-57736	34	7	profile	profile	VERB
bibechana-57736	34	8	and	and	CCONJ
bibechana-57736	34	9	characterize	characterize	VERB
bibechana-57736	34	10	pollutants	pollutant	NOUN
bibechana-57736	34	11	in	in	ADP
bibechana-57736	34	12	real	real	ADJ
bibechana-57736	34	13	-	-	PUNCT
bibechana-57736	34	14	time	time	NOUN
bibechana-57736	34	15	and	and	CCONJ
bibechana-57736	34	16	space	space	NOUN
bibechana-57736	34	17	.	.	PUNCT
bibechana-57736	35	1	water	water	NOUN
bibechana-57736	35	2	quality	quality	NOUN
bibechana-57736	35	3	encompasses	encompass	VERB
bibechana-57736	35	4	the	the	DET
bibechana-57736	35	5	physical	physical	ADJ
bibechana-57736	35	6	,	,	PUNCT
bibechana-57736	35	7	chemical	chemical	NOUN
bibechana-57736	35	8	,	,	PUNCT
bibechana-57736	35	9	biological	biological	ADJ
bibechana-57736	35	10	,	,	PUNCT
bibechana-57736	35	11	and	and	CCONJ
bibechana-57736	35	12	radiological	radiological	ADJ
bibechana-57736	35	13	attributes	attribute	NOUN
bibechana-57736	35	14	that	that	PRON
bibechana-57736	35	15	define	define	VERB
bibechana-57736	35	16	water	water	NOUN
bibechana-57736	35	17	’s	’s	PART
bibechana-57736	35	18	appropriateness	appropriateness	NOUN
bibechana-57736	35	19	for	for	ADP
bibechana-57736	35	20	specific	specific	ADJ
bibechana-57736	35	21	applications	application	NOUN
bibechana-57736	35	22	.	.	PUNCT
bibechana-57736	36	1	parameters	parameter	NOUN
bibechana-57736	36	2	such	such	ADJ
bibechana-57736	36	3	as	as	ADP
bibechana-57736	36	4	temperature	temperature	NOUN
bibechana-57736	36	5	,	,	PUNCT
bibechana-57736	36	6	ph	ph	VERB
bibechana-57736	36	7	,	,	PUNCT
bibechana-57736	36	8	dissolved	dissolve	VERB
bibechana-57736	36	9	oxygen	oxygen	NOUN
bibechana-57736	36	10	,	,	PUNCT
bibechana-57736	36	11	nutrients	nutrient	NOUN
bibechana-57736	36	12	,	,	PUNCT
bibechana-57736	36	13	metals	metal	NOUN
bibechana-57736	36	14	,	,	PUNCT
bibechana-57736	36	15	and	and	CCONJ
bibechana-57736	36	16	pollutants	pollutant	NOUN
bibechana-57736	36	17	collectively	collectively	ADV
bibechana-57736	36	18	define	define	VERB
bibechana-57736	36	19	water	water	NOUN
bibechana-57736	36	20	quality	quality	NOUN
bibechana-57736	36	21	and	and	CCONJ
bibechana-57736	36	22	significantly	significantly	ADV
bibechana-57736	36	23	impact	impact	VERB
bibechana-57736	36	24	aquatic	aquatic	ADJ
bibechana-57736	36	25	life	life	NOUN
bibechana-57736	36	26	,	,	PUNCT
bibechana-57736	36	27	ecosystems	ecosystem	NOUN
bibechana-57736	36	28	,	,	PUNCT
bibechana-57736	36	29	and	and	CCONJ
bibechana-57736	36	30	human	human	ADJ
bibechana-57736	36	31	well	well	NOUN
bibechana-57736	36	32	-	-	PUNCT
bibechana-57736	36	33	being	being	NOUN
bibechana-57736	36	34	.	.	PUNCT
bibechana-57736	37	1	this	this	DET
bibechana-57736	37	2	quality	quality	NOUN
bibechana-57736	37	3	is	be	AUX
bibechana-57736	37	4	often	often	ADV
bibechana-57736	37	5	evaluated	evaluate	VERB
bibechana-57736	37	6	against	against	ADP
bibechana-57736	37	7	established	establish	VERB
bibechana-57736	37	8	standards	standard	NOUN
bibechana-57736	37	9	for	for	ADP
bibechana-57736	37	10	various	various	ADJ
bibechana-57736	37	11	parameters	parameter	NOUN
bibechana-57736	37	12	,	,	PUNCT
bibechana-57736	37	13	including	include	VERB
bibechana-57736	37	14	temperature	temperature	NOUN
bibechana-57736	37	15	,	,	PUNCT
bibechana-57736	37	16	ph	ph	NOUN
bibechana-57736	37	17	,	,	PUNCT
bibechana-57736	37	18	oxidationreduction	oxidationreduction	NOUN
bibechana-57736	37	19	potential	potential	NOUN
bibechana-57736	37	20	(	(	PUNCT
bibechana-57736	37	21	orp	orp	PROPN
bibechana-57736	37	22	)	)	PUNCT
bibechana-57736	37	23	,	,	PUNCT
bibechana-57736	37	24	electrical	electrical	ADJ
bibechana-57736	37	25	conductivity	conductivity	NOUN
bibechana-57736	37	26	(	(	PUNCT
bibechana-57736	37	27	ec	ec	PROPN
bibechana-57736	37	28	)	)	PUNCT
bibechana-57736	37	29	,	,	PUNCT
bibechana-57736	37	30	resistivity	resistivity	NOUN
bibechana-57736	37	31	(	(	PUNCT
bibechana-57736	37	32	res	re	NOUN
bibechana-57736	37	33	)	)	PUNCT
bibechana-57736	37	34	,	,	PUNCT
bibechana-57736	37	35	total	total	ADJ
bibechana-57736	37	36	dissolved	dissolve	VERB
bibechana-57736	37	37	solids	solid	NOUN
bibechana-57736	37	38	(	(	PUNCT
bibechana-57736	37	39	tds	tds	PROPN
bibechana-57736	37	40	)	)	PUNCT
bibechana-57736	37	41	,	,	PUNCT
bibechana-57736	37	42	salinity	salinity	NOUN
bibechana-57736	37	43	(	(	PUNCT
bibechana-57736	37	44	sal	sal	NOUN
bibechana-57736	37	45	)	)	PUNCT
bibechana-57736	37	46	,	,	PUNCT
bibechana-57736	37	47	dissolved	dissolve	VERB
bibechana-57736	37	48	oxygen	oxygen	NOUN
bibechana-57736	37	49	(	(	PUNCT
bibechana-57736	37	50	do	do	AUX
bibechana-57736	37	51	)	)	PUNCT
bibechana-57736	37	52	,	,	PUNCT
bibechana-57736	37	53	turbidity	turbidity	NOUN
bibechana-57736	37	54	(	(	PUNCT
bibechana-57736	37	55	turb	turb	NOUN
bibechana-57736	37	56	)	)	PUNCT
bibechana-57736	37	57	,	,	PUNCT
bibechana-57736	37	58	biochemical	biochemical	ADJ
bibechana-57736	37	59	oxygen	oxygen	NOUN
bibechana-57736	37	60	demand	demand	NOUN
bibechana-57736	37	61	(	(	PUNCT
bibechana-57736	37	62	bod	bod	PROPN
bibechana-57736	37	63	)	)	PUNCT
bibechana-57736	37	64	,	,	PUNCT
bibechana-57736	37	65	chemical	chemical	ADJ
bibechana-57736	37	66	oxygen	oxygen	NOUN
bibechana-57736	37	67	demand	demand	NOUN
bibechana-57736	37	68	(	(	PUNCT
bibechana-57736	37	69	cod	cod	PROPN
bibechana-57736	37	70	)	)	PUNCT
bibechana-57736	37	71	,	,	PUNCT
bibechana-57736	37	72	nitrogen	nitrogen	NOUN
bibechana-57736	37	73	,	,	PUNCT
bibechana-57736	37	74	phosphorus	phosphorus	NOUN
bibechana-57736	37	75	,	,	PUNCT
bibechana-57736	37	76	and	and	CCONJ
bibechana-57736	37	77	pollutants	pollutant	NOUN
bibechana-57736	37	78	like	like	ADP
bibechana-57736	37	79	pm2.5	pm2.5	NOUN
bibechana-57736	37	80	,	,	PUNCT
bibechana-57736	37	81	co2	co2	NOUN
bibechana-57736	37	82	,	,	PUNCT
bibechana-57736	37	83	formaldehyde	formaldehyde	NOUN
bibechana-57736	37	84	,	,	PUNCT
bibechana-57736	37	85	and	and	CCONJ
bibechana-57736	37	86	volatile	volatile	ADJ
bibechana-57736	37	87	organic	organic	ADJ
bibechana-57736	37	88	compounds	compound	NOUN
bibechana-57736	37	89	(	(	PUNCT
bibechana-57736	37	90	vocs	vocs	PROPN
bibechana-57736	37	91	)	)	PUNCT
bibechana-57736	37	92	.	.	PUNCT
bibechana-57736	38	1	each	each	DET
bibechana-57736	38	2	parameter	parameter	NOUN
bibechana-57736	38	3	holds	hold	VERB
bibechana-57736	38	4	a	a	DET
bibechana-57736	38	5	defined	define	VERB
bibechana-57736	38	6	range	range	NOUN
bibechana-57736	38	7	of	of	ADP
bibechana-57736	38	8	values	value	NOUN
bibechana-57736	38	9	deemed	deem	VERB
bibechana-57736	38	10	safe	safe	ADJ
bibechana-57736	38	11	for	for	ADP
bibechana-57736	38	12	both	both	CCONJ
bibechana-57736	38	13	human	human	ADJ
bibechana-57736	38	14	and	and	CCONJ
bibechana-57736	38	15	aquatic	aquatic	ADJ
bibechana-57736	38	16	life	life	NOUN
bibechana-57736	38	17	.	.	PUNCT
bibechana-57736	39	1	temperature	temperature	NOUN
bibechana-57736	39	2	influences	influence	NOUN
bibechana-57736	39	3	water	water	NOUN
bibechana-57736	39	4	’s	’s	PART
bibechana-57736	39	5	physical	physical	ADJ
bibechana-57736	39	6	and	and	CCONJ
bibechana-57736	39	7	chemical	chemical	NOUN
bibechana-57736	39	8	properties	property	NOUN
bibechana-57736	39	9	,	,	PUNCT
bibechana-57736	39	10	while	while	SCONJ
bibechana-57736	39	11	ph	ph	NOUN
bibechana-57736	39	12	indicates	indicate	VERB
bibechana-57736	39	13	its	its	PRON
bibechana-57736	39	14	acidity	acidity	NOUN
bibechana-57736	39	15	or	or	CCONJ
bibechana-57736	39	16	alkalinity	alkalinity	NOUN
bibechana-57736	39	17	.	.	PUNCT
bibechana-57736	40	1	ec	ec	PROPN
bibechana-57736	40	2	and	and	CCONJ
bibechana-57736	40	3	res	re	NOUN
bibechana-57736	40	4	reflect	reflect	VERB
bibechana-57736	40	5	water	water	NOUN
bibechana-57736	40	6	’s	’s	PART
bibechana-57736	40	7	conductivity	conductivity	NOUN
bibechana-57736	40	8	,	,	PUNCT
bibechana-57736	40	9	correlating	correlate	VERB
bibechana-57736	40	10	with	with	ADP
bibechana-57736	40	11	dissolved	dissolve	VERB
bibechana-57736	40	12	ion	ion	NOUN
bibechana-57736	40	13	concentration	concentration	NOUN
bibechana-57736	40	14	.	.	PUNCT
bibechana-57736	41	1	tds	tds	ADJ
bibechana-57736	41	2	and	and	CCONJ
bibechana-57736	41	3	sal	sal	PROPN
bibechana-57736	41	4	measure	measure	NOUN
bibechana-57736	41	5	dissolved	dissolve	VERB
bibechana-57736	41	6	solids	solid	NOUN
bibechana-57736	41	7	and	and	CCONJ
bibechana-57736	41	8	salts	salt	NOUN
bibechana-57736	41	9	,	,	PUNCT
bibechana-57736	41	10	while	while	SCONJ
bibechana-57736	41	11	do	do	AUX
bibechana-57736	41	12	is	be	AUX
bibechana-57736	41	13	crucial	crucial	ADJ
bibechana-57736	41	14	for	for	ADP
bibechana-57736	41	15	aquatic	aquatic	ADJ
bibechana-57736	41	16	survival	survival	NOUN
bibechana-57736	41	17	.	.	PUNCT
bibechana-57736	42	1	turbidity	turbidity	NOUN
bibechana-57736	42	2	gauges	gauge	VERB
bibechana-57736	42	3	water	water	NOUN
bibechana-57736	42	4	clarity	clarity	NOUN
bibechana-57736	42	5	,	,	PUNCT
bibechana-57736	42	6	with	with	ADP
bibechana-57736	42	7	pollutants	pollutant	NOUN
bibechana-57736	42	8	like	like	ADP
bibechana-57736	42	9	pm2.5	pm2.5	NOUN
bibechana-57736	42	10	,	,	PUNCT
bibechana-57736	42	11	co2	co2	NOUN
bibechana-57736	42	12	,	,	PUNCT
bibechana-57736	42	13	formaldehyde	formaldehyde	NOUN
bibechana-57736	42	14	,	,	PUNCT
bibechana-57736	42	15	and	and	CCONJ
bibechana-57736	42	16	vocs	vocs	PROPN
bibechana-57736	42	17	emerging	emerge	VERB
bibechana-57736	42	18	as	as	ADP
bibechana-57736	42	19	additional	additional	ADJ
bibechana-57736	42	20	concerns	concern	NOUN
bibechana-57736	42	21	.	.	PUNCT
bibechana-57736	43	1	the	the	DET
bibechana-57736	43	2	present	present	ADJ
bibechana-57736	43	3	study	study	NOUN
bibechana-57736	43	4	focuses	focus	VERB
bibechana-57736	43	5	on	on	ADP
bibechana-57736	43	6	key	key	ADJ
bibechana-57736	43	7	parameters	parameter	NOUN
bibechana-57736	43	8	including	include	VERB
bibechana-57736	43	9	temperature	temperature	NOUN
bibechana-57736	43	10	,	,	PUNCT
bibechana-57736	43	11	ph	ph	PROPN
bibechana-57736	43	12	,	,	PUNCT
bibechana-57736	43	13	orp	orp	PROPN
bibechana-57736	43	14	,	,	PUNCT
bibechana-57736	43	15	ec	ec	PROPN
bibechana-57736	43	16	,	,	PUNCT
bibechana-57736	43	17	res	re	NOUN
bibechana-57736	43	18	,	,	PUNCT
bibechana-57736	43	19	tds	tds	PROPN
bibechana-57736	43	20	,	,	PUNCT
bibechana-57736	43	21	sal	sal	PROPN
bibechana-57736	43	22	,	,	PUNCT
bibechana-57736	43	23	do	do	VERB
bibechana-57736	43	24	,	,	PUNCT
bibechana-57736	43	25	and	and	CCONJ
bibechana-57736	43	26	turbidity	turbidity	NOUN
bibechana-57736	43	27	.	.	PUNCT
bibechana-57736	44	1	utilizing	utilize	VERB
bibechana-57736	44	2	sophisticated	sophisticated	ADJ
bibechana-57736	44	3	mobile	mobile	ADJ
bibechana-57736	44	4	tracers	tracer	NOUN
bibechana-57736	44	5	and	and	CCONJ
bibechana-57736	44	6	analyzers	analyzer	NOUN
bibechana-57736	44	7	,	,	PUNCT
bibechana-57736	44	8	data	datum	NOUN
bibechana-57736	44	9	collection	collection	NOUN
bibechana-57736	44	10	was	be	AUX
bibechana-57736	44	11	conducted	conduct	VERB
bibechana-57736	44	12	along	along	ADP
bibechana-57736	44	13	the	the	DET
bibechana-57736	44	14	bagmati	bagmati	PROPN
bibechana-57736	44	15	river	river	PROPN
bibechana-57736	44	16	using	use	VERB
bibechana-57736	44	17	a	a	DET
bibechana-57736	44	18	rafting	raft	VERB
bibechana-57736	44	19	boat	boat	NOUN
bibechana-57736	44	20	,	,	PUNCT
bibechana-57736	44	21	as	as	ADV
bibechana-57736	44	22	well	well	ADV
bibechana-57736	44	23	as	as	ADP
bibechana-57736	44	24	through	through	ADP
bibechana-57736	44	25	a	a	DET
bibechana-57736	44	26	fixed	fix	VERB
bibechana-57736	44	27	sensor	sensor	NOUN
bibechana-57736	44	28	system	system	NOUN
bibechana-57736	44	29	stationed	station	VERB
bibechana-57736	44	30	within	within	ADP
bibechana-57736	44	31	the	the	DET
bibechana-57736	44	32	kathmandu	kathmandu	NOUN
bibechana-57736	44	33	valley	valley	NOUN
bibechana-57736	44	34	.	.	PUNCT
bibechana-57736	45	1	these	these	DET
bibechana-57736	45	2	sensors	sensor	NOUN
bibechana-57736	45	3	recorded	record	VERB
bibechana-57736	45	4	real	real	ADJ
bibechana-57736	45	5	-	-	PUNCT
bibechana-57736	45	6	time	time	NOUN
bibechana-57736	45	7	data	datum	NOUN
bibechana-57736	45	8	of	of	ADP
bibechana-57736	45	9	various	various	ADJ
bibechana-57736	45	10	physical	physical	ADJ
bibechana-57736	45	11	parameters	parameter	NOUN
bibechana-57736	45	12	,	,	PUNCT
bibechana-57736	45	13	including	include	VERB
bibechana-57736	45	14	ph	ph	NOUN
bibechana-57736	45	15	,	,	PUNCT
bibechana-57736	45	16	conductivity	conductivity	NOUN
bibechana-57736	45	17	,	,	PUNCT
bibechana-57736	45	18	salinity	salinity	NOUN
bibechana-57736	45	19	,	,	PUNCT
bibechana-57736	45	20	total	total	ADJ
bibechana-57736	45	21	dissolved	dissolve	VERB
bibechana-57736	45	22	solids	solid	NOUN
bibechana-57736	45	23	(	(	PUNCT
bibechana-57736	45	24	tds	tds	PROPN
bibechana-57736	45	25	)	)	PUNCT
bibechana-57736	45	26	,	,	PUNCT
bibechana-57736	45	27	dissolved	dissolve	VERB
bibechana-57736	45	28	oxygen	oxygen	NOUN
bibechana-57736	45	29	(	(	PUNCT
bibechana-57736	45	30	do	do	NOUN
bibechana-57736	45	31	)	)	PUNCT
bibechana-57736	45	32	,	,	PUNCT
bibechana-57736	45	33	temperature	temperature	NOUN
bibechana-57736	45	34	,	,	PUNCT
bibechana-57736	45	35	and	and	CCONJ
bibechana-57736	45	36	turbidity	turbidity	NOUN
bibechana-57736	45	37	.	.	PUNCT
bibechana-57736	46	1	among	among	ADP
bibechana-57736	46	2	the	the	DET
bibechana-57736	46	3	14	14	NUM
bibechana-57736	46	4	designated	designate	VERB
bibechana-57736	46	5	data	datum	NOUN
bibechana-57736	46	6	collection	collection	NOUN
bibechana-57736	46	7	sites	site	NOUN
bibechana-57736	46	8	,	,	PUNCT
bibechana-57736	46	9	the	the	DET
bibechana-57736	46	10	upstream	upstream	ADJ
bibechana-57736	46	11	gokarna	gokarna	NOUN
bibechana-57736	46	12	site	site	NOUN
bibechana-57736	46	13	(	(	PUNCT
bibechana-57736	46	14	b-1	b-1	PROPN
bibechana-57736	46	15	)	)	PUNCT
bibechana-57736	46	16	represents	represent	VERB
bibechana-57736	46	17	the	the	DET
bibechana-57736	46	18	most	most	ADV
bibechana-57736	46	19	remote	remote	ADJ
bibechana-57736	46	20	point	point	NOUN
bibechana-57736	46	21	,	,	PUNCT
bibechana-57736	46	22	situated	situate	VERB
bibechana-57736	46	23	approximately	approximately	ADV
bibechana-57736	46	24	8	8	NUM
bibechana-57736	46	25	kilometers	kilometer	NOUN
bibechana-57736	46	26	from	from	ADP
bibechana-57736	46	27	the	the	DET
bibechana-57736	46	28	entry	entry	NOUN
bibechana-57736	46	29	point	point	NOUN
bibechana-57736	46	30	(	(	PUNCT
bibechana-57736	46	31	sundarijal	sundarijal	NOUN
bibechana-57736	46	32	)	)	PUNCT
bibechana-57736	46	33	of	of	ADP
bibechana-57736	46	34	the	the	DET
bibechana-57736	46	35	bagmati	bagmati	PROPN
bibechana-57736	46	36	river	river	PROPN
bibechana-57736	46	37	into	into	ADP
bibechana-57736	46	38	the	the	DET
bibechana-57736	46	39	kathmandu	kathmandu	NOUN
bibechana-57736	46	40	valley	valley	NOUN
bibechana-57736	46	41	.	.	PUNCT
bibechana-57736	47	1	in	in	ADP
bibechana-57736	47	2	this	this	DET
bibechana-57736	47	3	rural	rural	ADJ
bibechana-57736	47	4	setting	setting	NOUN
bibechana-57736	47	5	,	,	PUNCT
bibechana-57736	47	6	the	the	DET
bibechana-57736	47	7	sources	source	NOUN
bibechana-57736	47	8	of	of	ADP
bibechana-57736	47	9	pollutants	pollutant	NOUN
bibechana-57736	47	10	are	be	AUX
bibechana-57736	47	11	less	less	ADV
bibechana-57736	47	12	apparent	apparent	ADJ
bibechana-57736	47	13	.	.	PUNCT
bibechana-57736	48	1	moving	move	VERB
bibechana-57736	48	2	along	along	ADP
bibechana-57736	48	3	the	the	DET
bibechana-57736	48	4	river	river	NOUN
bibechana-57736	48	5	,	,	PUNCT
bibechana-57736	48	6	the	the	DET
bibechana-57736	48	7	b-2	b-2	PROPN
bibechana-57736	48	8	and	and	CCONJ
bibechana-57736	48	9	b-3	b-3	PROPN
bibechana-57736	48	10	sites	site	NOUN
bibechana-57736	48	11	are	be	AUX
bibechana-57736	48	12	positioned	position	VERB
bibechana-57736	48	13	just	just	ADV
bibechana-57736	48	14	upstream	upstream	ADJ
bibechana-57736	48	15	and	and	CCONJ
bibechana-57736	48	16	downstream	downstream	ADJ
bibechana-57736	48	17	of	of	ADP
bibechana-57736	48	18	the	the	DET
bibechana-57736	48	19	guheshwori	guheshwori	NOUN
bibechana-57736	48	20	wastewater	wastewater	PROPN
bibechana-57736	48	21	treatment	treatment	NOUN
bibechana-57736	48	22	plant	plant	NOUN
bibechana-57736	48	23	,	,	PUNCT
bibechana-57736	48	24	respectively	respectively	ADV
bibechana-57736	48	25	.	.	PUNCT
bibechana-57736	49	1	these	these	DET
bibechana-57736	49	2	sites	site	NOUN
bibechana-57736	49	3	encompass	encompass	VERB
bibechana-57736	49	4	a	a	DET
bibechana-57736	49	5	blend	blend	NOUN
bibechana-57736	49	6	of	of	ADP
bibechana-57736	49	7	residential	residential	ADJ
bibechana-57736	49	8	and	and	CCONJ
bibechana-57736	49	9	industrial	industrial	ADJ
bibechana-57736	49	10	areas	area	NOUN
bibechana-57736	49	11	,	,	PUNCT
bibechana-57736	49	12	including	include	VERB
bibechana-57736	49	13	wool	wool	NOUN
bibechana-57736	49	14	dying	die	VERB
bibechana-57736	49	15	companies	company	NOUN
bibechana-57736	49	16	,	,	PUNCT
bibechana-57736	49	17	medical	medical	ADJ
bibechana-57736	49	18	colleges	college	NOUN
bibechana-57736	49	19	,	,	PUNCT
bibechana-57736	49	20	and	and	CCONJ
bibechana-57736	49	21	hotels	hotel	NOUN
bibechana-57736	49	22	.	.	PUNCT
bibechana-57736	50	1	while	while	SCONJ
bibechana-57736	50	2	the	the	DET
bibechana-57736	50	3	wastewater	wastewater	NOUN
bibechana-57736	50	4	treatment	treatment	NOUN
bibechana-57736	50	5	plant	plant	NOUN
bibechana-57736	50	6	treats	treat	VERB
bibechana-57736	50	7	sewage	sewage	NOUN
bibechana-57736	50	8	bepujan	bepujan	NOUN
bibechana-57736	50	9	bashyal	bashyal	PROPN
bibechana-57736	50	10	et	et	PROPN
bibechana-57736	50	11	al./	al./	ADV
bibechana-57736	50	12	bibechana	bibechana	PROPN
bibechana-57736	50	13	20	20	NUM
bibechana-57736	50	14	(	(	PUNCT
bibechana-57736	50	15	2023	2023	NUM
bibechana-57736	50	16	)	)	PUNCT
bibechana-57736	50	17	248	248	NUM
bibechana-57736	50	18	-	-	SYM
bibechana-57736	50	19	258	258	NUM
bibechana-57736	50	20	250	250	NUM
bibechana-57736	50	21	fore	fore	NOUN
bibechana-57736	50	22	discharge	discharge	NOUN
bibechana-57736	50	23	,	,	PUNCT
bibechana-57736	50	24	pollutants	pollutant	NOUN
bibechana-57736	50	25	from	from	ADP
bibechana-57736	50	26	various	various	ADJ
bibechana-57736	50	27	sources	source	NOUN
bibechana-57736	50	28	still	still	ADV
bibechana-57736	50	29	affect	affect	VERB
bibechana-57736	50	30	the	the	DET
bibechana-57736	50	31	river	river	NOUN
bibechana-57736	50	32	.	.	PUNCT
bibechana-57736	51	1	the	the	DET
bibechana-57736	51	2	guheshwori	guheshwori	PROPN
bibechana-57736	51	3	temple	temple	PROPN
bibechana-57736	51	4	site	site	NOUN
bibechana-57736	51	5	(	(	PUNCT
bibechana-57736	51	6	b4	b4	PROPN
bibechana-57736	51	7	)	)	PUNCT
bibechana-57736	51	8	is	be	AUX
bibechana-57736	51	9	impacted	impact	VERB
bibechana-57736	51	10	by	by	ADP
bibechana-57736	51	11	activities	activity	NOUN
bibechana-57736	51	12	such	such	ADJ
bibechana-57736	51	13	as	as	ADP
bibechana-57736	51	14	bathing	bathe	VERB
bibechana-57736	51	15	,	,	PUNCT
bibechana-57736	51	16	washing	washing	NOUN
bibechana-57736	51	17	,	,	PUNCT
bibechana-57736	51	18	and	and	CCONJ
bibechana-57736	51	19	picnicking	picnic	VERB
bibechana-57736	51	20	along	along	ADP
bibechana-57736	51	21	the	the	DET
bibechana-57736	51	22	riverbanks	riverbank	NOUN
bibechana-57736	51	23	.	.	PUNCT
bibechana-57736	52	1	the	the	DET
bibechana-57736	52	2	gaurighat	gaurighat	PROPN
bibechana-57736	52	3	site	site	NOUN
bibechana-57736	52	4	(	(	PUNCT
bibechana-57736	52	5	b-5	b-5	NUM
bibechana-57736	52	6	)	)	PUNCT
bibechana-57736	52	7	captures	capture	VERB
bibechana-57736	52	8	the	the	DET
bibechana-57736	52	9	influence	influence	NOUN
bibechana-57736	52	10	of	of	ADP
bibechana-57736	52	11	local	local	ADJ
bibechana-57736	52	12	residential	residential	ADJ
bibechana-57736	52	13	areas	area	NOUN
bibechana-57736	52	14	before	before	SCONJ
bibechana-57736	52	15	the	the	DET
bibechana-57736	52	16	river	river	NOUN
bibechana-57736	52	17	reaches	reach	VERB
bibechana-57736	52	18	the	the	DET
bibechana-57736	52	19	revered	revere	VERB
bibechana-57736	52	20	pashupatinath	pashupatinath	NOUN
bibechana-57736	52	21	temple	temple	PROPN
bibechana-57736	52	22	.	.	PUNCT
bibechana-57736	53	1	this	this	DET
bibechana-57736	53	2	temple	temple	NOUN
bibechana-57736	53	3	,	,	PUNCT
bibechana-57736	53	4	of	of	ADP
bibechana-57736	53	5	great	great	ADJ
bibechana-57736	53	6	cultural	cultural	ADJ
bibechana-57736	53	7	and	and	CCONJ
bibechana-57736	53	8	religious	religious	ADJ
bibechana-57736	53	9	significance	significance	NOUN
bibechana-57736	53	10	,	,	PUNCT
bibechana-57736	53	11	witnesses	witness	NOUN
bibechana-57736	53	12	various	various	ADJ
bibechana-57736	53	13	practices	practice	NOUN
bibechana-57736	53	14	such	such	ADJ
bibechana-57736	53	15	as	as	ADP
bibechana-57736	53	16	bathing	bathing	NOUN
bibechana-57736	53	17	and	and	CCONJ
bibechana-57736	53	18	rituals	ritual	NOUN
bibechana-57736	53	19	,	,	PUNCT
bibechana-57736	53	20	including	include	VERB
bibechana-57736	53	21	cremation	cremation	NOUN
bibechana-57736	53	22	.	.	PUNCT
bibechana-57736	54	1	unfortunately	unfortunately	ADV
bibechana-57736	54	2	,	,	PUNCT
bibechana-57736	54	3	the	the	DET
bibechana-57736	54	4	ash	ash	NOUN
bibechana-57736	54	5	from	from	ADP
bibechana-57736	54	6	cremations	cremation	NOUN
bibechana-57736	54	7	is	be	AUX
bibechana-57736	54	8	directly	directly	ADV
bibechana-57736	54	9	released	release	VERB
bibechana-57736	54	10	into	into	ADP
bibechana-57736	54	11	the	the	DET
bibechana-57736	54	12	river	river	NOUN
bibechana-57736	54	13	.	.	PUNCT
bibechana-57736	55	1	pashupatinath	pashupatinath	PROPN
bibechana-57736	55	2	temple	temple	PROPN
bibechana-57736	55	3	(	(	PUNCT
bibechana-57736	55	4	aryaghat	aryaghat	NOUN
bibechana-57736	55	5	)	)	PUNCT
bibechana-57736	55	6	(	(	PUNCT
bibechana-57736	55	7	b-6	b-6	NOUN
bibechana-57736	55	8	)	)	PUNCT
bibechana-57736	55	9	observes	observe	VERB
bibechana-57736	55	10	the	the	DET
bibechana-57736	55	11	discharge	discharge	NOUN
bibechana-57736	55	12	of	of	ADP
bibechana-57736	55	13	untreated	untreated	ADJ
bibechana-57736	55	14	wastewater	wastewater	NOUN
bibechana-57736	55	15	and	and	CCONJ
bibechana-57736	55	16	effluents	effluent	NOUN
bibechana-57736	55	17	from	from	ADP
bibechana-57736	55	18	the	the	DET
bibechana-57736	55	19	treatment	treatment	NOUN
bibechana-57736	55	20	plant	plant	NOUN
bibechana-57736	55	21	into	into	ADP
bibechana-57736	55	22	the	the	DET
bibechana-57736	55	23	bagmati	bagmati	PROPN
bibechana-57736	55	24	river	river	PROPN
bibechana-57736	55	25	.	.	PUNCT
bibechana-57736	56	1	tilganga	tilganga	NOUN
bibechana-57736	56	2	(	(	PUNCT
bibechana-57736	56	3	b-7	b-7	PROPN
bibechana-57736	56	4	)	)	PUNCT
bibechana-57736	56	5	,	,	PUNCT
bibechana-57736	56	6	just	just	ADV
bibechana-57736	56	7	downstream	downstream	ADV
bibechana-57736	56	8	of	of	ADP
bibechana-57736	56	9	the	the	DET
bibechana-57736	56	10	guheshwori	guheshwori	NOUN
bibechana-57736	56	11	wastewater	wastewater	PROPN
bibechana-57736	56	12	treatment	treatment	NOUN
bibechana-57736	56	13	plant	plant	NOUN
bibechana-57736	56	14	,	,	PUNCT
bibechana-57736	56	15	portrays	portray	VERB
bibechana-57736	56	16	the	the	DET
bibechana-57736	56	17	aftermath	aftermath	NOUN
bibechana-57736	56	18	of	of	ADP
bibechana-57736	56	19	these	these	DET
bibechana-57736	56	20	discharges	discharge	NOUN
bibechana-57736	56	21	.	.	PUNCT
bibechana-57736	57	1	tinkune	tinkune	NOUN
bibechana-57736	57	2	(	(	PUNCT
bibechana-57736	57	3	b-8	b-8	PROPN
bibechana-57736	57	4	)	)	PUNCT
bibechana-57736	57	5	reveals	reveal	VERB
bibechana-57736	57	6	a	a	DET
bibechana-57736	57	7	disturbing	disturbing	ADJ
bibechana-57736	57	8	sight	sight	NOUN
bibechana-57736	57	9	of	of	ADP
bibechana-57736	57	10	solid	solid	ADJ
bibechana-57736	57	11	waste	waste	NOUN
bibechana-57736	57	12	and	and	CCONJ
bibechana-57736	57	13	sewer	sewer	NOUN
bibechana-57736	57	14	lines	line	NOUN
bibechana-57736	57	15	leading	lead	VERB
bibechana-57736	57	16	directly	directly	ADV
bibechana-57736	57	17	to	to	ADP
bibechana-57736	57	18	the	the	DET
bibechana-57736	57	19	river	river	NOUN
bibechana-57736	57	20	,	,	PUNCT
bibechana-57736	57	21	resulting	result	VERB
bibechana-57736	57	22	in	in	ADP
bibechana-57736	57	23	visibly	visibly	ADV
bibechana-57736	57	24	dark	dark	ADJ
bibechana-57736	57	25	and	and	CCONJ
bibechana-57736	57	26	turbid	turbid	ADJ
bibechana-57736	57	27	water	water	NOUN
bibechana-57736	57	28	.	.	PUNCT
bibechana-57736	58	1	the	the	DET
bibechana-57736	58	2	subsequent	subsequent	ADJ
bibechana-57736	58	3	sites	site	NOUN
bibechana-57736	58	4	(	(	PUNCT
bibechana-57736	58	5	b-9	b-9	NOUN
bibechana-57736	58	6	to	to	ADP
bibechana-57736	58	7	b-14	b-14	ADV
bibechana-57736	58	8	)	)	PUNCT
bibechana-57736	58	9	serve	serve	VERB
bibechana-57736	58	10	to	to	PART
bibechana-57736	58	11	assess	assess	VERB
bibechana-57736	58	12	the	the	DET
bibechana-57736	58	13	effects	effect	NOUN
bibechana-57736	58	14	of	of	ADP
bibechana-57736	58	15	tributaries	tributary	NOUN
bibechana-57736	58	16	on	on	ADP
bibechana-57736	58	17	the	the	DET
bibechana-57736	58	18	bagmati	bagmati	PROPN
bibechana-57736	58	19	river	river	PROPN
bibechana-57736	58	20	,	,	PUNCT
bibechana-57736	58	21	with	with	ADP
bibechana-57736	58	22	the	the	DET
bibechana-57736	58	23	thapathali	thapathali	ADJ
bibechana-57736	58	24	site	site	NOUN
bibechana-57736	58	25	(	(	PUNCT
bibechana-57736	58	26	r-11	r-11	ADV
bibechana-57736	58	27	)	)	PUNCT
bibechana-57736	58	28	illustrating	illustrate	VERB
bibechana-57736	58	29	the	the	DET
bibechana-57736	58	30	water	water	NOUN
bibechana-57736	58	31	quality	quality	NOUN
bibechana-57736	58	32	above	above	ADP
bibechana-57736	58	33	the	the	DET
bibechana-57736	58	34	highly	highly	ADV
bibechana-57736	58	35	polluted	polluted	ADJ
bibechana-57736	58	36	tukucha	tukucha	ADJ
bibechana-57736	58	37	tributary	tributary	NOUN
bibechana-57736	58	38	.	.	PUNCT
bibechana-57736	59	1	observations	observation	NOUN
bibechana-57736	59	2	at	at	ADP
bibechana-57736	59	3	the	the	DET
bibechana-57736	59	4	shankhamul	shankhamul	NOUN
bibechana-57736	59	5	site	site	NOUN
bibechana-57736	59	6	provide	provide	VERB
bibechana-57736	59	7	insight	insight	NOUN
bibechana-57736	59	8	into	into	ADP
bibechana-57736	59	9	daily	daily	ADJ
bibechana-57736	59	10	and	and	CCONJ
bibechana-57736	59	11	diurnal	diurnal	ADJ
bibechana-57736	59	12	variations	variation	NOUN
bibechana-57736	59	13	before	before	SCONJ
bibechana-57736	59	14	tributaries	tributary	NOUN
bibechana-57736	59	15	influence	influence	VERB
bibechana-57736	59	16	the	the	DET
bibechana-57736	59	17	river	river	NOUN
bibechana-57736	59	18	.	.	PUNCT
bibechana-57736	60	1	adhikari	adhikari	PROPN
bibechana-57736	60	2	et	et	PROPN
bibechana-57736	60	3	al	al	PROPN
bibechana-57736	60	4	.	.	PROPN
bibechana-57736	60	5	’s	’s	PART
bibechana-57736	60	6	research	research	NOUN
bibechana-57736	60	7	focused	focus	VERB
bibechana-57736	60	8	on	on	ADP
bibechana-57736	60	9	the	the	DET
bibechana-57736	60	10	analysis	analysis	NOUN
bibechana-57736	60	11	of	of	ADP
bibechana-57736	60	12	water	water	NOUN
bibechana-57736	60	13	quality	quality	NOUN
bibechana-57736	60	14	parameters	parameter	NOUN
bibechana-57736	60	15	,	,	PUNCT
bibechana-57736	60	16	highlighting	highlight	VERB
bibechana-57736	60	17	the	the	DET
bibechana-57736	60	18	limitations	limitation	NOUN
bibechana-57736	60	19	of	of	ADP
bibechana-57736	60	20	conventional	conventional	ADJ
bibechana-57736	60	21	fixed	fix	VERB
bibechana-57736	60	22	-	-	PUNCT
bibechana-57736	60	23	point	point	NOUN
bibechana-57736	60	24	measurements	measurement	NOUN
bibechana-57736	60	25	in	in	ADP
bibechana-57736	60	26	capturing	capture	VERB
bibechana-57736	60	27	spatial	spatial	ADJ
bibechana-57736	60	28	and	and	CCONJ
bibechana-57736	60	29	temporal	temporal	ADJ
bibechana-57736	60	30	profiles	profile	NOUN
bibechana-57736	60	31	.	.	PUNCT
bibechana-57736	61	1	collecting	collect	VERB
bibechana-57736	61	2	data	datum	NOUN
bibechana-57736	61	3	along	along	ADP
bibechana-57736	61	4	the	the	DET
bibechana-57736	61	5	bagmati	bagmati	PROPN
bibechana-57736	61	6	river	river	PROPN
bibechana-57736	61	7	frequently	frequently	ADV
bibechana-57736	61	8	proves	prove	VERB
bibechana-57736	61	9	to	to	PART
bibechana-57736	61	10	be	be	AUX
bibechana-57736	61	11	both	both	PRON
bibechana-57736	61	12	time	time	NOUN
bibechana-57736	61	13	-	-	PUNCT
bibechana-57736	61	14	consuming	consume	VERB
bibechana-57736	61	15	and	and	CCONJ
bibechana-57736	61	16	costly	costly	ADJ
bibechana-57736	61	17	.	.	PUNCT
bibechana-57736	62	1	despite	despite	SCONJ
bibechana-57736	62	2	these	these	DET
bibechana-57736	62	3	constraints	constraint	NOUN
bibechana-57736	62	4	,	,	PUNCT
bibechana-57736	62	5	the	the	DET
bibechana-57736	62	6	application	application	NOUN
bibechana-57736	62	7	of	of	ADP
bibechana-57736	62	8	time	time	NOUN
bibechana-57736	62	9	and	and	CCONJ
bibechana-57736	62	10	space	space	NOUN
bibechana-57736	62	11	domain	domain	NOUN
bibechana-57736	62	12	data	datum	NOUN
bibechana-57736	62	13	modeling	modeling	NOUN
bibechana-57736	62	14	could	could	AUX
bibechana-57736	62	15	facilitate	facilitate	VERB
bibechana-57736	62	16	insightful	insightful	ADJ
bibechana-57736	62	17	conclusions	conclusion	NOUN
bibechana-57736	62	18	and	and	CCONJ
bibechana-57736	62	19	support	support	VERB
bibechana-57736	62	20	the	the	DET
bibechana-57736	62	21	research	research	NOUN
bibechana-57736	62	22	objectives	objective	NOUN
bibechana-57736	62	23	.	.	PUNCT
bibechana-57736	63	1	by	by	ADP
bibechana-57736	63	2	leveraging	leverage	VERB
bibechana-57736	63	3	mathematical	mathematical	ADJ
bibechana-57736	63	4	and	and	CCONJ
bibechana-57736	63	5	statistical	statistical	ADJ
bibechana-57736	63	6	techniques	technique	NOUN
bibechana-57736	63	7	,	,	PUNCT
bibechana-57736	63	8	machine	machine	NOUN
bibechana-57736	63	9	learning	learning	NOUN
bibechana-57736	63	10	analyzes	analyze	VERB
bibechana-57736	63	11	data	datum	NOUN
bibechana-57736	63	12	,	,	PUNCT
bibechana-57736	63	13	identifies	identify	VERB
bibechana-57736	63	14	patterns	pattern	NOUN
bibechana-57736	63	15	,	,	PUNCT
bibechana-57736	63	16	and	and	CCONJ
bibechana-57736	63	17	enables	enable	VERB
bibechana-57736	63	18	predictions	prediction	NOUN
bibechana-57736	63	19	or	or	CCONJ
bibechana-57736	63	20	decisions	decision	NOUN
bibechana-57736	63	21	based	base	VERB
bibechana-57736	63	22	on	on	ADP
bibechana-57736	63	23	the	the	DET
bibechana-57736	63	24	analysis	analysis	NOUN
bibechana-57736	63	25	.	.	PUNCT
bibechana-57736	64	1	in	in	ADP
bibechana-57736	64	2	a	a	DET
bibechana-57736	64	3	context	context	NOUN
bibechana-57736	64	4	marked	mark	VERB
bibechana-57736	64	5	by	by	ADP
bibechana-57736	64	6	limited	limited	ADJ
bibechana-57736	64	7	data	datum	NOUN
bibechana-57736	64	8	availability	availability	NOUN
bibechana-57736	64	9	,	,	PUNCT
bibechana-57736	64	10	models	model	NOUN
bibechana-57736	64	11	grounded	ground	VERB
bibechana-57736	64	12	in	in	ADP
bibechana-57736	64	13	statistical	statistical	ADJ
bibechana-57736	64	14	and	and	CCONJ
bibechana-57736	64	15	machine	machine	NOUN
bibechana-57736	64	16	learning	learn	VERB
bibechana-57736	64	17	techniques	technique	NOUN
bibechana-57736	64	18	offer	offer	VERB
bibechana-57736	64	19	invaluable	invaluable	ADJ
bibechana-57736	64	20	insights	insight	NOUN
bibechana-57736	64	21	into	into	ADP
bibechana-57736	64	22	the	the	DET
bibechana-57736	64	23	water	water	NOUN
bibechana-57736	64	24	quality	quality	NOUN
bibechana-57736	64	25	domain	domain	NOUN
bibechana-57736	64	26	.	.	PUNCT
bibechana-57736	65	1	in	in	ADP
bibechana-57736	65	2	this	this	DET
bibechana-57736	65	3	research	research	NOUN
bibechana-57736	65	4	,	,	PUNCT
bibechana-57736	65	5	insights	insight	NOUN
bibechana-57736	65	6	from	from	ADP
bibechana-57736	65	7	the	the	DET
bibechana-57736	65	8	highresolution	highresolution	NOUN
bibechana-57736	65	9	spatiotemporal	spatiotemporal	ADJ
bibechana-57736	65	10	data	datum	NOUN
bibechana-57736	65	11	are	be	AUX
bibechana-57736	65	12	extracted	extract	VERB
bibechana-57736	65	13	via	via	ADP
bibechana-57736	65	14	statistical	statistical	ADJ
bibechana-57736	65	15	and	and	CCONJ
bibechana-57736	65	16	machine	machine	NOUN
bibechana-57736	65	17	learning	learning	NOUN
bibechana-57736	65	18	models	model	NOUN
bibechana-57736	65	19	.	.	PUNCT
bibechana-57736	66	1	autoregressive	autoregressive	ADJ
bibechana-57736	66	2	integrated	integrated	ADJ
bibechana-57736	66	3	moving	move	VERB
bibechana-57736	66	4	average	average	ADJ
bibechana-57736	66	5	(	(	PUNCT
bibechana-57736	66	6	arima	arima	NOUN
bibechana-57736	66	7	)	)	PUNCT
bibechana-57736	66	8	and	and	CCONJ
bibechana-57736	66	9	long	long	ADJ
bibechana-57736	66	10	short	short	ADJ
bibechana-57736	66	11	-	-	PUNCT
bibechana-57736	66	12	term	term	NOUN
bibechana-57736	66	13	memory	memory	NOUN
bibechana-57736	66	14	(	(	PUNCT
bibechana-57736	66	15	lstm	lstm	NOUN
bibechana-57736	66	16	)	)	PUNCT
bibechana-57736	66	17	networks	network	NOUN
bibechana-57736	66	18	are	be	AUX
bibechana-57736	66	19	implemented	implement	VERB
bibechana-57736	66	20	for	for	ADP
bibechana-57736	66	21	accurate	accurate	ADJ
bibechana-57736	66	22	time	time	NOUN
bibechana-57736	66	23	series	series	PROPN
bibechana-57736	66	24	forecasting	forecasting	NOUN
bibechana-57736	66	25	of	of	ADP
bibechana-57736	66	26	water	water	NOUN
bibechana-57736	66	27	quality	quality	NOUN
bibechana-57736	66	28	at	at	ADP
bibechana-57736	66	29	fixed	fix	VERB
bibechana-57736	66	30	locations	location	NOUN
bibechana-57736	66	31	.	.	PUNCT
bibechana-57736	67	1	additionally	additionally	ADV
bibechana-57736	67	2	,	,	PUNCT
bibechana-57736	67	3	deep	deep	ADJ
bibechana-57736	67	4	neural	neural	ADJ
bibechana-57736	67	5	networks	network	NOUN
bibechana-57736	67	6	(	(	PUNCT
bibechana-57736	67	7	dnns	dnn	NOUN
bibechana-57736	67	8	)	)	PUNCT
bibechana-57736	67	9	are	be	AUX
bibechana-57736	67	10	leveraged	leverage	VERB
bibechana-57736	67	11	to	to	PART
bibechana-57736	67	12	elucidate	elucidate	VERB
bibechana-57736	67	13	water	water	NOUN
bibechana-57736	67	14	quality	quality	NOUN
bibechana-57736	67	15	variations	variation	NOUN
bibechana-57736	67	16	along	along	ADP
bibechana-57736	67	17	the	the	DET
bibechana-57736	67	18	river	river	NOUN
bibechana-57736	67	19	’s	’s	PART
bibechana-57736	67	20	spatial	spatial	ADJ
bibechana-57736	67	21	profile	profile	NOUN
bibechana-57736	67	22	.	.	PUNCT
bibechana-57736	68	1	2	2	NUM
bibechana-57736	68	2	research	research	NOUN
bibechana-57736	68	3	background	background	NOUN
bibechana-57736	68	4	water	water	NOUN
bibechana-57736	68	5	quality	quality	NOUN
bibechana-57736	68	6	parameter	parameter	PROPN
bibechana-57736	68	7	research	research	NOUN
bibechana-57736	68	8	offers	offer	VERB
bibechana-57736	68	9	insights	insight	NOUN
bibechana-57736	68	10	into	into	ADP
bibechana-57736	68	11	water	water	NOUN
bibechana-57736	68	12	resource	resource	NOUN
bibechana-57736	68	13	quality	quality	NOUN
bibechana-57736	68	14	and	and	CCONJ
bibechana-57736	68	15	its	its	PRON
bibechana-57736	68	16	implications	implication	NOUN
bibechana-57736	68	17	for	for	ADP
bibechana-57736	68	18	human	human	ADJ
bibechana-57736	68	19	,	,	PUNCT
bibechana-57736	68	20	aquatic	aquatic	ADJ
bibechana-57736	68	21	life	life	NOUN
bibechana-57736	68	22	,	,	PUNCT
bibechana-57736	68	23	and	and	CCONJ
bibechana-57736	68	24	environmental	environmental	ADJ
bibechana-57736	68	25	health	health	NOUN
bibechana-57736	68	26	.	.	PUNCT
bibechana-57736	69	1	by	by	ADP
bibechana-57736	69	2	analyzing	analyze	VERB
bibechana-57736	69	3	parameters	parameter	NOUN
bibechana-57736	69	4	such	such	ADJ
bibechana-57736	69	5	as	as	ADP
bibechana-57736	69	6	ph	ph	ADJ
bibechana-57736	69	7	,	,	PUNCT
bibechana-57736	69	8	dissolved	dissolved	ADJ
bibechana-57736	69	9	oxygen	oxygen	NOUN
bibechana-57736	69	10	,	,	PUNCT
bibechana-57736	69	11	turbidity	turbidity	NOUN
bibechana-57736	69	12	,	,	PUNCT
bibechana-57736	69	13	and	and	CCONJ
bibechana-57736	69	14	nutrients	nutrient	NOUN
bibechana-57736	69	15	,	,	PUNCT
bibechana-57736	69	16	researchers	researcher	NOUN
bibechana-57736	69	17	can	can	AUX
bibechana-57736	69	18	pinpoint	pinpoint	VERB
bibechana-57736	69	19	contamination	contamination	NOUN
bibechana-57736	69	20	sources	source	NOUN
bibechana-57736	69	21	and	and	CCONJ
bibechana-57736	69	22	assess	assess	VERB
bibechana-57736	69	23	aquatic	aquatic	ADJ
bibechana-57736	69	24	ecosystem	ecosystem	NOUN
bibechana-57736	69	25	health	health	NOUN
bibechana-57736	69	26	[	[	X
bibechana-57736	69	27	1	1	NUM
bibechana-57736	69	28	]	]	PUNCT
bibechana-57736	69	29	.	.	PUNCT
bibechana-57736	70	1	however	however	ADV
bibechana-57736	70	2	,	,	PUNCT
bibechana-57736	70	3	data	datum	NOUN
bibechana-57736	70	4	collection	collection	NOUN
bibechana-57736	70	5	is	be	AUX
bibechana-57736	70	6	timeconsuming	timeconsuming	ADJ
bibechana-57736	70	7	and	and	CCONJ
bibechana-57736	70	8	costly	costly	ADJ
bibechana-57736	70	9	,	,	PUNCT
bibechana-57736	70	10	compounded	compound	VERB
bibechana-57736	70	11	by	by	ADP
bibechana-57736	70	12	complex	complex	ADJ
bibechana-57736	70	13	influencing	influence	VERB
bibechana-57736	70	14	factors	factor	NOUN
bibechana-57736	70	15	.	.	PUNCT
bibechana-57736	71	1	predictive	predictive	ADJ
bibechana-57736	71	2	algorithms	algorithm	NOUN
bibechana-57736	71	3	,	,	PUNCT
bibechana-57736	71	4	like	like	ADP
bibechana-57736	71	5	artificial	artificial	ADJ
bibechana-57736	71	6	neural	neural	ADJ
bibechana-57736	71	7	networks	network	NOUN
bibechana-57736	71	8	and	and	CCONJ
bibechana-57736	71	9	decision	decision	NOUN
bibechana-57736	71	10	trees	tree	NOUN
bibechana-57736	71	11	,	,	PUNCT
bibechana-57736	71	12	are	be	AUX
bibechana-57736	71	13	developed	develop	VERB
bibechana-57736	71	14	to	to	PART
bibechana-57736	71	15	forecast	forecast	VERB
bibechana-57736	71	16	water	water	NOUN
bibechana-57736	71	17	quality	quality	NOUN
bibechana-57736	71	18	parameters	parameter	NOUN
bibechana-57736	71	19	with	with	ADP
bibechana-57736	71	20	limited	limited	ADJ
bibechana-57736	71	21	data	data	NOUN
bibechana-57736	71	22	sets	set	NOUN
bibechana-57736	71	23	[	[	X
bibechana-57736	71	24	2	2	NUM
bibechana-57736	71	25	]	]	PUNCT
bibechana-57736	71	26	.	.	PUNCT
bibechana-57736	72	1	one	one	NUM
bibechana-57736	72	2	study	study	NOUN
bibechana-57736	72	3	employs	employ	VERB
bibechana-57736	72	4	multivariate	multivariate	NOUN
bibechana-57736	72	5	analysis	analysis	NOUN
bibechana-57736	72	6	(	(	PUNCT
bibechana-57736	72	7	ca	ca	NOUN
bibechana-57736	72	8	,	,	PUNCT
bibechana-57736	72	9	pca	pca	PROPN
bibechana-57736	72	10	,	,	PUNCT
bibechana-57736	72	11	da	da	PROPN
bibechana-57736	72	12	)	)	PUNCT
bibechana-57736	72	13	to	to	PART
bibechana-57736	72	14	classify	classify	VERB
bibechana-57736	72	15	river	river	NOUN
bibechana-57736	72	16	water	water	NOUN
bibechana-57736	72	17	,	,	PUNCT
bibechana-57736	72	18	demonstrating	demonstrate	VERB
bibechana-57736	72	19	the	the	DET
bibechana-57736	72	20	effectiveness	effectiveness	NOUN
bibechana-57736	72	21	of	of	ADP
bibechana-57736	72	22	statistical	statistical	ADJ
bibechana-57736	72	23	techniques	technique	NOUN
bibechana-57736	72	24	[	[	X
bibechana-57736	72	25	3	3	NUM
bibechana-57736	72	26	]	]	PUNCT
bibechana-57736	72	27	.	.	PUNCT
bibechana-57736	73	1	another	another	DET
bibechana-57736	73	2	study	study	NOUN
bibechana-57736	73	3	highlights	highlight	VERB
bibechana-57736	73	4	the	the	DET
bibechana-57736	73	5	success	success	NOUN
bibechana-57736	73	6	of	of	ADP
bibechana-57736	73	7	emd	emd	PROPN
bibechana-57736	73	8	-	-	PUNCT
bibechana-57736	73	9	lstm	lstm	PROPN
bibechana-57736	73	10	models	model	NOUN
bibechana-57736	73	11	in	in	ADP
bibechana-57736	73	12	predicting	predict	VERB
bibechana-57736	73	13	various	various	ADJ
bibechana-57736	73	14	parameters	parameter	NOUN
bibechana-57736	73	15	[	[	X
bibechana-57736	73	16	4	4	NUM
bibechana-57736	73	17	]	]	PUNCT
bibechana-57736	73	18	.	.	PUNCT
bibechana-57736	74	1	a	a	DET
bibechana-57736	74	2	deep	deep	ADJ
bibechana-57736	74	3	learning	learning	NOUN
bibechana-57736	74	4	framework	framework	NOUN
bibechana-57736	74	5	employing	employ	VERB
bibechana-57736	74	6	lstm	lstm	ADJ
bibechana-57736	74	7	networks	network	NOUN
bibechana-57736	74	8	forecasts	forecast	VERB
bibechana-57736	74	9	water	water	NOUN
bibechana-57736	74	10	quality	quality	NOUN
bibechana-57736	74	11	parameters	parameter	NOUN
bibechana-57736	74	12	based	base	VERB
bibechana-57736	74	13	on	on	ADP
bibechana-57736	74	14	historical	historical	ADJ
bibechana-57736	74	15	data	datum	NOUN
bibechana-57736	74	16	[	[	X
bibechana-57736	74	17	5	5	NUM
bibechana-57736	74	18	]	]	PUNCT
bibechana-57736	74	19	,	,	PUNCT
bibechana-57736	74	20	and	and	CCONJ
bibechana-57736	74	21	bi	bi	ADJ
bibechana-57736	74	22	-	-	ADJ
bibechana-57736	74	23	s	s	ADJ
bibechana-57736	74	24	-	-	PUNCT
bibechana-57736	74	25	sru	sru	NOUN
bibechana-57736	74	26	models	model	NOUN
bibechana-57736	74	27	showcase	showcase	VERB
bibechana-57736	74	28	higher	high	ADJ
bibechana-57736	74	29	accuracy	accuracy	NOUN
bibechana-57736	75	1	[	[	X
bibechana-57736	75	2	6	6	NUM
bibechana-57736	75	3	]	]	PUNCT
bibechana-57736	75	4	.	.	PUNCT
bibechana-57736	76	1	a	a	DET
bibechana-57736	76	2	cnn	cnn	PROPN
bibechana-57736	76	3	-	-	PUNCT
bibechana-57736	76	4	lstm	lstm	ADJ
bibechana-57736	76	5	-	-	PUNCT
bibechana-57736	76	6	svr	svr	ADJ
bibechana-57736	76	7	hybrid	hybrid	NOUN
bibechana-57736	76	8	model	model	NOUN
bibechana-57736	76	9	outperforms	outperform	VERB
bibechana-57736	76	10	traditional	traditional	ADJ
bibechana-57736	76	11	methods	method	NOUN
bibechana-57736	76	12	[	[	X
bibechana-57736	76	13	7	7	NUM
bibechana-57736	76	14	]	]	PUNCT
bibechana-57736	76	15	,	,	PUNCT
bibechana-57736	76	16	while	while	SCONJ
bibechana-57736	76	17	hybrid	hybrid	ADJ
bibechana-57736	76	18	techniques	technique	NOUN
bibechana-57736	76	19	and	and	CCONJ
bibechana-57736	76	20	preprocessing	preprocesse	VERB
bibechana-57736	76	21	enhance	enhance	NOUN
bibechana-57736	76	22	freshwater	freshwater	NOUN
bibechana-57736	76	23	quality	quality	NOUN
bibechana-57736	76	24	prediction	prediction	NOUN
bibechana-57736	76	25	[	[	X
bibechana-57736	76	26	8	8	NUM
bibechana-57736	76	27	]	]	PUNCT
bibechana-57736	76	28	.	.	PUNCT
bibechana-57736	77	1	the	the	DET
bibechana-57736	77	2	application	application	NOUN
bibechana-57736	77	3	of	of	ADP
bibechana-57736	77	4	a	a	DET
bibechana-57736	77	5	bpnn	bpnn	NOUN
bibechana-57736	77	6	-	-	PUNCT
bibechana-57736	77	7	kalman	kalman	NOUN
bibechana-57736	77	8	filter	filter	NOUN
bibechana-57736	77	9	model	model	NOUN
bibechana-57736	77	10	for	for	ADP
bibechana-57736	77	11	river	river	NOUN
bibechana-57736	77	12	water	water	NOUN
bibechana-57736	77	13	temperature	temperature	NOUN
bibechana-57736	77	14	,	,	PUNCT
bibechana-57736	77	15	ph	ph	NOUN
bibechana-57736	77	16	,	,	PUNCT
bibechana-57736	77	17	and	and	CCONJ
bibechana-57736	77	18	do	do	VERB
bibechana-57736	77	19	concentration	concentration	NOUN
bibechana-57736	77	20	prediction	prediction	NOUN
bibechana-57736	77	21	proves	prove	VERB
bibechana-57736	77	22	accurate	accurate	ADJ
bibechana-57736	77	23	[	[	X
bibechana-57736	77	24	9	9	NUM
bibechana-57736	77	25	]	]	PUNCT
bibechana-57736	77	26	.	.	PUNCT
bibechana-57736	78	1	narnet	narnet	PROPN
bibechana-57736	78	2	and	and	CCONJ
bibechana-57736	78	3	lstm	lstm	NOUN
bibechana-57736	78	4	models	model	NOUN
bibechana-57736	78	5	predict	predict	VERB
bibechana-57736	78	6	wqi	wqi	ADJ
bibechana-57736	78	7	,	,	PUNCT
bibechana-57736	78	8	while	while	SCONJ
bibechana-57736	78	9	svm	svm	PROPN
bibechana-57736	78	10	,	,	PUNCT
bibechana-57736	78	11	knn	knn	PROPN
bibechana-57736	78	12	,	,	PUNCT
bibechana-57736	78	13	and	and	CCONJ
bibechana-57736	78	14	naive	naive	ADJ
bibechana-57736	78	15	bayes	bayes	NOUN
bibechana-57736	78	16	classify	classify	VERB
bibechana-57736	78	17	wqi	wqi	VERB
bibechana-57736	78	18	data	datum	NOUN
bibechana-57736	78	19	[	[	X
bibechana-57736	78	20	10	10	NUM
bibechana-57736	78	21	]	]	PUNCT
bibechana-57736	78	22	.	.	PUNCT
bibechana-57736	79	1	bayesian	bayesian	NOUN
bibechana-57736	79	2	uncertainty	uncertainty	NOUN
bibechana-57736	79	3	processor	processor	NOUN
bibechana-57736	79	4	enhances	enhance	VERB
bibechana-57736	79	5	deep	deep	ADJ
bibechana-57736	79	6	learning	learning	NOUN
bibechana-57736	79	7	-	-	PUNCT
bibechana-57736	79	8	based	base	VERB
bibechana-57736	79	9	anns	anns	NOUN
bibechana-57736	79	10	[	[	X
bibechana-57736	79	11	11	11	NUM
bibechana-57736	79	12	]	]	PUNCT
bibechana-57736	79	13	,	,	PUNCT
bibechana-57736	79	14	and	and	CCONJ
bibechana-57736	79	15	a	a	DET
bibechana-57736	79	16	novel	novel	ADJ
bibechana-57736	79	17	mvd	mvd	PROPN
bibechana-57736	79	18	-	-	PUNCT
bibechana-57736	79	19	based	base	VERB
bibechana-57736	79	20	framework	framework	NOUN
bibechana-57736	79	21	expands	expand	VERB
bibechana-57736	79	22	dnn	dnn	PROPN
bibechana-57736	79	23	application	application	NOUN
bibechana-57736	79	24	even	even	ADV
bibechana-57736	79	25	with	with	ADP
bibechana-57736	79	26	limited	limited	ADJ
bibechana-57736	79	27	data	datum	NOUN
bibechana-57736	79	28	[	[	X
bibechana-57736	79	29	12	12	NUM
bibechana-57736	79	30	]	]	PUNCT
bibechana-57736	79	31	.	.	PUNCT
bibechana-57736	80	1	deepst	deepst	ADJ
bibechana-57736	80	2	models	model	NOUN
bibechana-57736	80	3	spatiotemporal	spatiotemporal	ADJ
bibechana-57736	80	4	data	datum	NOUN
bibechana-57736	80	5	,	,	PUNCT
bibechana-57736	80	6	outperforming	outperform	VERB
bibechana-57736	80	7	baselines	baseline	NOUN
bibechana-57736	80	8	[	[	X
bibechana-57736	80	9	13	13	NUM
bibechana-57736	80	10	]	]	PUNCT
bibechana-57736	80	11	.	.	PUNCT
bibechana-57736	81	1	flow	flow	NOUN
bibechana-57736	81	2	’s	’s	PART
bibechana-57736	81	3	influence	influence	NOUN
bibechana-57736	81	4	on	on	ADP
bibechana-57736	81	5	water	water	NOUN
bibechana-57736	81	6	quality	quality	NOUN
bibechana-57736	81	7	parameters	parameter	NOUN
bibechana-57736	81	8	is	be	AUX
bibechana-57736	81	9	studied	study	VERB
bibechana-57736	81	10	,	,	PUNCT
bibechana-57736	81	11	showing	show	VERB
bibechana-57736	81	12	impacts	impact	NOUN
bibechana-57736	81	13	on	on	ADP
bibechana-57736	81	14	dissolved	dissolved	ADJ
bibechana-57736	81	15	oxygen	oxygen	NOUN
bibechana-57736	81	16	,	,	PUNCT
bibechana-57736	81	17	turbidity	turbidity	NOUN
bibechana-57736	81	18	,	,	PUNCT
bibechana-57736	81	19	ph	ph	NOUN
bibechana-57736	81	20	,	,	PUNCT
bibechana-57736	81	21	and	and	CCONJ
bibechana-57736	81	22	orp	orp	X
bibechana-57736	82	1	[	[	X
bibechana-57736	82	2	14–18	14–18	NUM
bibechana-57736	82	3	]	]	PUNCT
bibechana-57736	82	4	.	.	PUNCT
bibechana-57736	83	1	these	these	DET
bibechana-57736	83	2	studies	study	NOUN
bibechana-57736	83	3	emphasize	emphasize	VERB
bibechana-57736	83	4	considering	consider	VERB
bibechana-57736	83	5	river	river	NOUN
bibechana-57736	83	6	flow	flow	NOUN
bibechana-57736	83	7	in	in	ADP
bibechana-57736	83	8	water	water	NOUN
bibechana-57736	83	9	quality	quality	NOUN
bibechana-57736	83	10	assessments	assessment	NOUN
bibechana-57736	83	11	,	,	PUNCT
bibechana-57736	83	12	acknowledging	acknowledge	VERB
bibechana-57736	83	13	its	its	PRON
bibechana-57736	83	14	complex	complex	ADJ
bibechana-57736	83	15	relationship	relationship	NOUN
bibechana-57736	83	16	.	.	PUNCT
bibechana-57736	84	1	it	it	PRON
bibechana-57736	84	2	is	be	AUX
bibechana-57736	84	3	noteworthy	noteworthy	ADJ
bibechana-57736	84	4	that	that	SCONJ
bibechana-57736	84	5	the	the	DET
bibechana-57736	84	6	traditional	traditional	ADJ
bibechana-57736	84	7	forecasting	forecasting	NOUN
bibechana-57736	84	8	methods	method	NOUN
bibechana-57736	84	9	have	have	VERB
bibechana-57736	84	10	lots	lot	NOUN
bibechana-57736	84	11	of	of	ADP
bibechana-57736	84	12	problems	problem	NOUN
bibechana-57736	84	13	,	,	PUNCT
bibechana-57736	84	14	such	such	ADJ
bibechana-57736	84	15	as	as	ADP
bibechana-57736	84	16	low	low	ADJ
bibechana-57736	84	17	accuracy	accuracy	NOUN
bibechana-57736	84	18	,	,	PUNCT
bibechana-57736	84	19	poor	poor	ADJ
bibechana-57736	84	20	generalization	generalization	NOUN
bibechana-57736	84	21	,	,	PUNCT
bibechana-57736	84	22	and	and	CCONJ
bibechana-57736	84	23	high	high	ADJ
bibechana-57736	84	24	time	time	NOUN
bibechana-57736	84	25	complexity	complexity	NOUN
bibechana-57736	84	26	.	.	PUNCT
bibechana-57736	85	1	to	to	PART
bibechana-57736	85	2	solve	solve	VERB
bibechana-57736	85	3	these	these	DET
bibechana-57736	85	4	shortcomings	shortcoming	NOUN
bibechana-57736	85	5	,	,	PUNCT
bibechana-57736	85	6	these	these	DET
bibechana-57736	85	7	days	day	NOUN
bibechana-57736	85	8	some	some	DET
bibechana-57736	85	9	machine	machine	NOUN
bibechana-57736	85	10	learning	learning	NOUN
bibechana-57736	85	11	based	base	VERB
bibechana-57736	85	12	novel	novel	ADJ
bibechana-57736	85	13	water	water	NOUN
bibechana-57736	85	14	quality	quality	NOUN
bibechana-57736	85	15	parameters	parameter	NOUN
bibechana-57736	85	16	(	(	PUNCT
bibechana-57736	85	17	wqp	wqp	NOUN
bibechana-57736	85	18	)	)	PUNCT
bibechana-57736	85	19	prediction	prediction	NOUN
bibechana-57736	85	20	methods	method	NOUN
bibechana-57736	85	21	,	,	PUNCT
bibechana-57736	85	22	like	like	ADP
bibechana-57736	85	23	deep	deep	ADJ
bibechana-57736	85	24	lstm	lstm	NOUN
bibechana-57736	85	25	learnings	learning	NOUN
bibechana-57736	85	26	and	and	CCONJ
bibechana-57736	85	27	deep	deep	ADJ
bibechana-57736	85	28	neural	neural	ADJ
bibechana-57736	85	29	networks	network	NOUN
bibechana-57736	85	30	are	be	AUX
bibechana-57736	85	31	in	in	ADP
bibechana-57736	85	32	practices	practice	NOUN
bibechana-57736	85	33	[	[	X
bibechana-57736	85	34	4,6,9,13,19–21	4,6,9,13,19–21	X
bibechana-57736	85	35	]	]	X
bibechana-57736	85	36	.	.	PUNCT
bibechana-57736	86	1	in	in	ADP
bibechana-57736	86	2	the	the	DET
bibechana-57736	86	3	case	case	NOUN
bibechana-57736	86	4	of	of	ADP
bibechana-57736	86	5	bagmati	bagmati	PROPN
bibechana-57736	86	6	river	river	PROPN
bibechana-57736	86	7	,	,	PUNCT
bibechana-57736	86	8	to	to	ADP
bibechana-57736	86	9	our	our	PRON
bibechana-57736	86	10	knowledge	knowledge	NOUN
bibechana-57736	86	11	so	so	ADV
bibechana-57736	86	12	far	far	ADV
bibechana-57736	86	13	,	,	PUNCT
bibechana-57736	86	14	since	since	SCONJ
bibechana-57736	86	15	there	there	PRON
bibechana-57736	86	16	exist	exist	VERB
bibechana-57736	86	17	no	no	DET
bibechana-57736	86	18	such	such	ADJ
bibechana-57736	86	19	sequential	sequential	ADJ
bibechana-57736	86	20	time	time	NOUN
bibechana-57736	86	21	series	series	NOUN
bibechana-57736	86	22	-	-	PUNCT
bibechana-57736	86	23	based	base	VERB
bibechana-57736	86	24	ml	ml	NOUN
bibechana-57736	86	25	modelling	model	VERB
bibechana-57736	86	26	studies	study	NOUN
bibechana-57736	86	27	except	except	SCONJ
bibechana-57736	86	28	a	a	DET
bibechana-57736	86	29	scenario	scenario	NOUN
bibechana-57736	86	30	-	-	PUNCT
bibechana-57736	86	31	based	base	VERB
bibechana-57736	86	32	so	so	ADV
bibechana-57736	86	33	-	-	PUNCT
bibechana-57736	86	34	called	call	VERB
bibechana-57736	86	35	water	water	NOUN
bibechana-57736	86	36	evolution	evolution	NOUN
bibechana-57736	86	37	and	and	CCONJ
bibechana-57736	86	38	planning	planning	NOUN
bibechana-57736	86	39	(	(	PUNCT
bibechana-57736	86	40	weap	weap	NOUN
bibechana-57736	86	41	)	)	PUNCT
bibechana-57736	87	1	[	[	X
bibechana-57736	87	2	22	22	NUM
bibechana-57736	87	3	]	]	PUNCT
bibechana-57736	87	4	,	,	PUNCT
bibechana-57736	87	5	this	this	DET
bibechana-57736	87	6	research	research	NOUN
bibechana-57736	87	7	considers	consider	VERB
bibechana-57736	87	8	ml	ml	NOUN
bibechana-57736	87	9	modelling	modelling	NOUN
bibechana-57736	87	10	as	as	ADP
bibechana-57736	87	11	of	of	ADP
bibechana-57736	87	12	its	its	PRON
bibechana-57736	87	13	main	main	ADJ
bibechana-57736	87	14	scope	scope	NOUN
bibechana-57736	87	15	using	use	VERB
bibechana-57736	87	16	the	the	DET
bibechana-57736	87	17	following	follow	VERB
bibechana-57736	87	18	methodology	methodology	NOUN
bibechana-57736	87	19	.	.	PUNCT
bibechana-57736	88	1	3	3	NUM
bibechana-57736	88	2	methodology	methodology	NOUN
bibechana-57736	88	3	the	the	DET
bibechana-57736	88	4	first	first	ADJ
bibechana-57736	88	5	step	step	NOUN
bibechana-57736	88	6	involved	involve	VERB
bibechana-57736	88	7	collecting	collect	VERB
bibechana-57736	88	8	time	time	NOUN
bibechana-57736	88	9	series	series	PROPN
bibechana-57736	88	10	data	datum	NOUN
bibechana-57736	88	11	related	relate	VERB
bibechana-57736	88	12	to	to	ADP
bibechana-57736	88	13	various	various	ADJ
bibechana-57736	88	14	water	water	NOUN
bibechana-57736	88	15	quality	quality	NOUN
bibechana-57736	88	16	parameters	parameter	NOUN
bibechana-57736	88	17	of	of	ADP
bibechana-57736	88	18	interest	interest	NOUN
bibechana-57736	88	19	.	.	PUNCT
bibechana-57736	89	1	once	once	ADV
bibechana-57736	89	2	the	the	DET
bibechana-57736	89	3	raw	raw	ADJ
bibechana-57736	89	4	data	datum	NOUN
bibechana-57736	89	5	is	be	AUX
bibechana-57736	89	6	obtained	obtain	VERB
bibechana-57736	89	7	,	,	PUNCT
bibechana-57736	89	8	it	it	PRON
bibechana-57736	89	9	is	be	AUX
bibechana-57736	89	10	loaded	load	VERB
bibechana-57736	89	11	and	and	CCONJ
bibechana-57736	89	12	basic	basic	ADJ
bibechana-57736	89	13	exploratory	exploratory	ADJ
bibechana-57736	89	14	analysis	analysis	NOUN
bibechana-57736	89	15	is	be	AUX
bibechana-57736	89	16	performed	perform	VERB
bibechana-57736	89	17	to	to	PART
bibechana-57736	89	18	understand	understand	VERB
bibechana-57736	89	19	trends	trend	NOUN
bibechana-57736	89	20	,	,	PUNCT
bibechana-57736	89	21	distributions	distribution	NOUN
bibechana-57736	89	22	,	,	PUNCT
bibechana-57736	89	23	relationships	relationship	NOUN
bibechana-57736	89	24	etc	etc	X
bibechana-57736	89	25	.	.	X
bibechana-57736	90	1	next	next	ADV
bibechana-57736	90	2	,	,	PUNCT
bibechana-57736	90	3	pujan	pujan	NOUN
bibechana-57736	90	4	bashyal	bashyal	PROPN
bibechana-57736	90	5	et	et	PROPN
bibechana-57736	90	6	al./	al./	ADV
bibechana-57736	90	7	bibechana	bibechana	PROPN
bibechana-57736	90	8	20	20	NUM
bibechana-57736	90	9	(	(	PUNCT
bibechana-57736	90	10	2023	2023	NUM
bibechana-57736	90	11	)	)	PUNCT
bibechana-57736	90	12	248	248	NUM
bibechana-57736	90	13	-	-	SYM
bibechana-57736	90	14	258	258	NUM
bibechana-57736	90	15	251	251	NUM
bibechana-57736	90	16	data	datum	NOUN
bibechana-57736	90	17	cleaning	cleaning	NOUN
bibechana-57736	90	18	tasks	task	NOUN
bibechana-57736	90	19	are	be	AUX
bibechana-57736	90	20	undertaken	undertake	VERB
bibechana-57736	90	21	to	to	PART
bibechana-57736	90	22	prepare	prepare	VERB
bibechana-57736	90	23	the	the	DET
bibechana-57736	90	24	data	datum	NOUN
bibechana-57736	90	25	for	for	ADP
bibechana-57736	90	26	modelling	modelling	NOUN
bibechana-57736	90	27	.	.	PUNCT
bibechana-57736	91	1	this	this	PRON
bibechana-57736	91	2	includes	include	VERB
bibechana-57736	91	3	handling	handle	VERB
bibechana-57736	91	4	missing	miss	VERB
bibechana-57736	91	5	values	value	NOUN
bibechana-57736	91	6	,	,	PUNCT
bibechana-57736	91	7	removing	remove	VERB
bibechana-57736	91	8	outliers	outlier	NOUN
bibechana-57736	91	9	,	,	PUNCT
bibechana-57736	91	10	and	and	CCONJ
bibechana-57736	91	11	dropping	drop	VERB
bibechana-57736	91	12	irrelevant	irrelevant	ADJ
bibechana-57736	91	13	columns	column	NOUN
bibechana-57736	91	14	or	or	CCONJ
bibechana-57736	91	15	features	feature	NOUN
bibechana-57736	91	16	.	.	PUNCT
bibechana-57736	92	1	with	with	ADP
bibechana-57736	92	2	clean	clean	ADJ
bibechana-57736	92	3	data	datum	NOUN
bibechana-57736	92	4	in	in	ADP
bibechana-57736	92	5	place	place	NOUN
bibechana-57736	92	6	,	,	PUNCT
bibechana-57736	92	7	models	model	NOUN
bibechana-57736	92	8	like	like	ADP
bibechana-57736	92	9	arima	arima	PROPN
bibechana-57736	92	10	and	and	CCONJ
bibechana-57736	92	11	lstm	lstm	NOUN
bibechana-57736	92	12	can	can	AUX
bibechana-57736	92	13	be	be	AUX
bibechana-57736	92	14	initialized	initialize	VERB
bibechana-57736	92	15	with	with	ADP
bibechana-57736	92	16	suitable	suitable	ADJ
bibechana-57736	92	17	parameters	parameter	NOUN
bibechana-57736	92	18	and	and	CCONJ
bibechana-57736	92	19	configurations	configuration	NOUN
bibechana-57736	92	20	.	.	PUNCT
bibechana-57736	93	1	the	the	DET
bibechana-57736	93	2	models	model	NOUN
bibechana-57736	93	3	are	be	AUX
bibechana-57736	93	4	then	then	ADV
bibechana-57736	93	5	trained	train	VERB
bibechana-57736	93	6	on	on	ADP
bibechana-57736	93	7	historic	historic	ADJ
bibechana-57736	93	8	data	datum	NOUN
bibechana-57736	93	9	and	and	CCONJ
bibechana-57736	93	10	validated	validate	VERB
bibechana-57736	93	11	by	by	ADP
bibechana-57736	93	12	testing	test	VERB
bibechana-57736	93	13	on	on	ADP
bibechana-57736	93	14	a	a	DET
bibechana-57736	93	15	holdout	holdout	NOUN
bibechana-57736	93	16	dataset	dataset	NOUN
bibechana-57736	93	17	.	.	PUNCT
bibechana-57736	94	1	training	training	NOUN
bibechana-57736	94	2	loops	loop	NOUN
bibechana-57736	94	3	through	through	ADP
bibechana-57736	94	4	iterations	iteration	NOUN
bibechana-57736	94	5	to	to	PART
bibechana-57736	94	6	minimize	minimize	VERB
bibechana-57736	94	7	the	the	DET
bibechana-57736	94	8	loss	loss	NOUN
bibechana-57736	94	9	function	function	NOUN
bibechana-57736	94	10	and	and	CCONJ
bibechana-57736	94	11	update	update	NOUN
bibechana-57736	94	12	model	model	NOUN
bibechana-57736	94	13	weights	weight	NOUN
bibechana-57736	94	14	and	and	CCONJ
bibechana-57736	94	15	biases	bias	NOUN
bibechana-57736	94	16	.	.	PUNCT
bibechana-57736	95	1	validation	validation	NOUN
bibechana-57736	95	2	provides	provide	VERB
bibechana-57736	95	3	insight	insight	NOUN
bibechana-57736	95	4	into	into	ADP
bibechana-57736	95	5	how	how	SCONJ
bibechana-57736	95	6	well	well	ADV
bibechana-57736	95	7	the	the	DET
bibechana-57736	95	8	models	model	NOUN
bibechana-57736	95	9	generalize	generalize	VERB
bibechana-57736	95	10	.	.	PUNCT
bibechana-57736	96	1	once	once	SCONJ
bibechana-57736	96	2	the	the	DET
bibechana-57736	96	3	models	model	NOUN
bibechana-57736	96	4	are	be	AUX
bibechana-57736	96	5	trained	train	VERB
bibechana-57736	96	6	and	and	CCONJ
bibechana-57736	96	7	validated	validate	VERB
bibechana-57736	96	8	,	,	PUNCT
bibechana-57736	96	9	they	they	PRON
bibechana-57736	96	10	can	can	AUX
bibechana-57736	96	11	be	be	AUX
bibechana-57736	96	12	used	use	VERB
bibechana-57736	96	13	for	for	ADP
bibechana-57736	96	14	one	one	NUM
bibechana-57736	96	15	-	-	PUNCT
bibechana-57736	96	16	step	step	NOUN
bibechana-57736	96	17	or	or	CCONJ
bibechana-57736	96	18	multi	multi	ADJ
bibechana-57736	96	19	-	-	ADJ
bibechana-57736	96	20	step	step	ADJ
bibechana-57736	96	21	ahead	ahead	ADJ
bibechana-57736	96	22	prediction	prediction	NOUN
bibechana-57736	96	23	on	on	ADP
bibechana-57736	96	24	new	new	ADJ
bibechana-57736	96	25	data	datum	NOUN
bibechana-57736	96	26	.	.	PUNCT
bibechana-57736	97	1	the	the	DET
bibechana-57736	97	2	predictions	prediction	NOUN
bibechana-57736	97	3	are	be	AUX
bibechana-57736	97	4	compared	compare	VERB
bibechana-57736	97	5	to	to	ADP
bibechana-57736	97	6	actual	actual	ADJ
bibechana-57736	97	7	values	value	NOUN
bibechana-57736	97	8	to	to	PART
bibechana-57736	97	9	evaluate	evaluate	VERB
bibechana-57736	97	10	model	model	NOUN
bibechana-57736	97	11	accuracy	accuracy	NOUN
bibechana-57736	97	12	.	.	PUNCT
bibechana-57736	98	1	in	in	ADP
bibechana-57736	98	2	summary	summary	NOUN
bibechana-57736	98	3	,	,	PUNCT
bibechana-57736	98	4	the	the	DET
bibechana-57736	98	5	key	key	ADJ
bibechana-57736	98	6	steps	step	NOUN
bibechana-57736	98	7	in	in	ADP
bibechana-57736	98	8	the	the	DET
bibechana-57736	98	9	methodology	methodology	NOUN
bibechana-57736	98	10	involve	involve	VERB
bibechana-57736	98	11	data	data	NOUN
bibechana-57736	98	12	collection	collection	NOUN
bibechana-57736	98	13	,	,	PUNCT
bibechana-57736	98	14	exploratory	exploratory	ADJ
bibechana-57736	98	15	analysis	analysis	NOUN
bibechana-57736	98	16	,	,	PUNCT
bibechana-57736	98	17	cleaning	cleaning	NOUN
bibechana-57736	98	18	,	,	PUNCT
bibechana-57736	98	19	model	model	NOUN
bibechana-57736	98	20	development	development	NOUN
bibechana-57736	98	21	and	and	CCONJ
bibechana-57736	98	22	training	training	NOUN
bibechana-57736	98	23	,	,	PUNCT
bibechana-57736	98	24	and	and	CCONJ
bibechana-57736	98	25	final	final	ADJ
bibechana-57736	98	26	prediction	prediction	NOUN
bibechana-57736	98	27	.	.	PUNCT
bibechana-57736	99	1	this	this	PRON
bibechana-57736	99	2	provides	provide	VERB
bibechana-57736	99	3	a	a	DET
bibechana-57736	99	4	structured	structured	ADJ
bibechana-57736	99	5	approach	approach	NOUN
bibechana-57736	99	6	to	to	PART
bibechana-57736	99	7	apply	apply	VERB
bibechana-57736	99	8	time	time	NOUN
bibechana-57736	99	9	series	series	NOUN
bibechana-57736	99	10	modelling	modelling	NOUN
bibechana-57736	99	11	for	for	ADP
bibechana-57736	99	12	forecasting	forecast	VERB
bibechana-57736	99	13	water	water	NOUN
bibechana-57736	99	14	quality	quality	NOUN
bibechana-57736	99	15	indicators	indicator	NOUN
bibechana-57736	99	16	.	.	PUNCT
bibechana-57736	100	1	the	the	DET
bibechana-57736	100	2	process	process	NOUN
bibechana-57736	100	3	aims	aim	VERB
bibechana-57736	100	4	to	to	PART
bibechana-57736	100	5	build	build	VERB
bibechana-57736	100	6	highly	highly	ADV
bibechana-57736	100	7	accurate	accurate	ADJ
bibechana-57736	100	8	and	and	CCONJ
bibechana-57736	100	9	robust	robust	ADJ
bibechana-57736	100	10	models	model	NOUN
bibechana-57736	100	11	.	.	PUNCT
bibechana-57736	101	1	3.1	3.1	NUM
bibechana-57736	101	2	environmental	environmental	ADJ
bibechana-57736	101	3	setup	setup	NOUN
bibechana-57736	101	4	to	to	PART
bibechana-57736	101	5	run	run	VERB
bibechana-57736	101	6	the	the	DET
bibechana-57736	101	7	models	model	NOUN
bibechana-57736	101	8	and	and	CCONJ
bibechana-57736	101	9	other	other	ADJ
bibechana-57736	101	10	necessary	necessary	ADJ
bibechana-57736	101	11	programs	program	NOUN
bibechana-57736	101	12	,	,	PUNCT
bibechana-57736	101	13	a	a	DET
bibechana-57736	101	14	dedicated	dedicated	ADJ
bibechana-57736	101	15	gpu	gpu	NOUN
bibechana-57736	101	16	based	base	VERB
bibechana-57736	101	17	resource	resource	NOUN
bibechana-57736	101	18	colab	colab	NOUN
bibechana-57736	101	19	provided	provide	VERB
bibechana-57736	101	20	by	by	ADP
bibechana-57736	101	21	google	google	PROPN
bibechana-57736	101	22	research	research	NOUN
bibechana-57736	101	23	was	be	AUX
bibechana-57736	101	24	used	use	VERB
bibechana-57736	101	25	.	.	PUNCT
bibechana-57736	102	1	excel	excel	PROPN
bibechana-57736	102	2	was	be	AUX
bibechana-57736	102	3	also	also	ADV
bibechana-57736	102	4	used	use	VERB
bibechana-57736	102	5	to	to	PART
bibechana-57736	102	6	save	save	VERB
bibechana-57736	102	7	and	and	CCONJ
bibechana-57736	102	8	open	open	VERB
bibechana-57736	102	9	csv	csv	ADJ
bibechana-57736	102	10	files	file	NOUN
bibechana-57736	102	11	,	,	PUNCT
bibechana-57736	102	12	and	and	CCONJ
bibechana-57736	102	13	process	process	NOUN
bibechana-57736	102	14	data	datum	NOUN
bibechana-57736	102	15	.	.	PUNCT
bibechana-57736	103	1	the	the	DET
bibechana-57736	103	2	libraries	library	NOUN
bibechana-57736	103	3	keras	keras	PROPN
bibechana-57736	103	4	,	,	PUNCT
bibechana-57736	103	5	tensorflow	tensorflow	NOUN
bibechana-57736	103	6	,	,	PUNCT
bibechana-57736	103	7	statsmodels	statsmodel	NOUN
bibechana-57736	103	8	,	,	PUNCT
bibechana-57736	103	9	pandas	panda	NOUN
bibechana-57736	103	10	profiling	profiling	NOUN
bibechana-57736	103	11	,	,	PUNCT
bibechana-57736	103	12	matplotlib	matplotlib	PROPN
bibechana-57736	103	13	,	,	PUNCT
bibechana-57736	103	14	sklearn	sklearn	ADJ
bibechana-57736	103	15	,	,	PUNCT
bibechana-57736	103	16	pandas	panda	NOUN
bibechana-57736	103	17	,	,	PUNCT
bibechana-57736	103	18	numpy	numpy	NOUN
bibechana-57736	103	19	,	,	PUNCT
bibechana-57736	103	20	and	and	CCONJ
bibechana-57736	103	21	datetime	datetime	NOUN
bibechana-57736	103	22	were	be	AUX
bibechana-57736	103	23	used	use	VERB
bibechana-57736	103	24	.	.	PUNCT
bibechana-57736	104	1	3.2	3.2	NUM
bibechana-57736	104	2	data	datum	NOUN
bibechana-57736	104	3	collection	collection	NOUN
bibechana-57736	104	4	and	and	CCONJ
bibechana-57736	104	5	analysis	analysis	NOUN
bibechana-57736	104	6	water	water	NOUN
bibechana-57736	104	7	quality	quality	NOUN
bibechana-57736	104	8	data	datum	NOUN
bibechana-57736	104	9	was	be	AUX
bibechana-57736	104	10	collected	collect	VERB
bibechana-57736	104	11	by	by	ADP
bibechana-57736	104	12	adhikari	adhikari	PROPN
bibechana-57736	104	13	et	et	PROPN
bibechana-57736	104	14	al	al	PROPN
bibechana-57736	104	15	.	.	PUNCT
bibechana-57736	105	1	at	at	ADP
bibechana-57736	105	2	14	14	NUM
bibechana-57736	105	3	fixed	fix	VERB
bibechana-57736	105	4	stations	station	NOUN
bibechana-57736	105	5	along	along	ADP
bibechana-57736	105	6	the	the	DET
bibechana-57736	105	7	bagmati	bagmati	PROPN
bibechana-57736	105	8	river	river	PROPN
bibechana-57736	105	9	using	use	VERB
bibechana-57736	105	10	a	a	DET
bibechana-57736	105	11	multi	multi	ADJ
bibechana-57736	105	12	-	-	ADJ
bibechana-57736	105	13	parameter	parameter	ADJ
bibechana-57736	105	14	sensor	sensor	NOUN
bibechana-57736	105	15	system	system	NOUN
bibechana-57736	105	16	.	.	PUNCT
bibechana-57736	106	1	key	key	ADJ
bibechana-57736	106	2	parameters	parameter	NOUN
bibechana-57736	106	3	included	include	VERB
bibechana-57736	106	4	ph	ph	VERB
bibechana-57736	106	5	,	,	PUNCT
bibechana-57736	106	6	dissolved	dissolve	VERB
bibechana-57736	106	7	oxygen	oxygen	NOUN
bibechana-57736	106	8	(	(	PUNCT
bibechana-57736	106	9	do	do	NOUN
bibechana-57736	106	10	)	)	PUNCT
bibechana-57736	106	11	,	,	PUNCT
bibechana-57736	106	12	and	and	CCONJ
bibechana-57736	106	13	temperature	temperature	NOUN
bibechana-57736	106	14	.	.	PUNCT
bibechana-57736	107	1	on	on	ADP
bibechana-57736	107	2	which	which	PRON
bibechana-57736	107	3	,	,	PUNCT
bibechana-57736	107	4	descriptive	descriptive	ADJ
bibechana-57736	107	5	statistics	statistic	NOUN
bibechana-57736	107	6	were	be	AUX
bibechana-57736	107	7	generated	generate	VERB
bibechana-57736	107	8	using	use	VERB
bibechana-57736	107	9	excel	excel	NOUN
bibechana-57736	107	10	and	and	CCONJ
bibechana-57736	107	11	pandas	panda	NOUN
bibechana-57736	107	12	.	.	PUNCT
bibechana-57736	108	1	data	datum	NOUN
bibechana-57736	108	2	was	be	AUX
bibechana-57736	108	3	visualized	visualize	VERB
bibechana-57736	108	4	using	use	VERB
bibechana-57736	108	5	pandas	panda	NOUN
bibechana-57736	108	6	profiling	profiling	NOUN
bibechana-57736	108	7	.	.	PUNCT
bibechana-57736	109	1	data	datum	NOUN
bibechana-57736	109	2	was	be	AUX
bibechana-57736	109	3	cleaned	clean	VERB
bibechana-57736	109	4	by	by	ADP
bibechana-57736	109	5	removing	remove	VERB
bibechana-57736	109	6	outliers	outlier	NOUN
bibechana-57736	109	7	and	and	CCONJ
bibechana-57736	109	8	parameters	parameter	NOUN
bibechana-57736	109	9	with	with	ADP
bibechana-57736	109	10	high	high	ADJ
bibechana-57736	109	11	levels	level	NOUN
bibechana-57736	109	12	of	of	ADP
bibechana-57736	109	13	missing	miss	VERB
bibechana-57736	109	14	data	datum	NOUN
bibechana-57736	109	15	.	.	PUNCT
bibechana-57736	110	1	the	the	DET
bibechana-57736	110	2	final	final	ADJ
bibechana-57736	110	3	dataset	dataset	NOUN
bibechana-57736	110	4	contained	contain	VERB
bibechana-57736	110	5	ph	ph	VERB
bibechana-57736	110	6	,	,	PUNCT
bibechana-57736	110	7	do	do	VERB
bibechana-57736	110	8	and	and	CCONJ
bibechana-57736	110	9	temperature	temperature	NOUN
bibechana-57736	110	10	.	.	PUNCT
bibechana-57736	111	1	3.3	3.3	NUM
bibechana-57736	111	2	model	model	NOUN
bibechana-57736	111	3	development	development	NOUN
bibechana-57736	111	4	an	an	DET
bibechana-57736	111	5	arima	arima	PROPN
bibechana-57736	111	6	time	time	NOUN
bibechana-57736	111	7	series	series	PROPN
bibechana-57736	111	8	model	model	PROPN
bibechana-57736	111	9	was	be	AUX
bibechana-57736	111	10	developed	develop	VERB
bibechana-57736	111	11	using	use	VERB
bibechana-57736	111	12	a	a	DET
bibechana-57736	111	13	grid	grid	NOUN
bibechana-57736	111	14	search	search	NOUN
bibechana-57736	111	15	to	to	PART
bibechana-57736	111	16	select	select	VERB
bibechana-57736	111	17	optimal	optimal	ADJ
bibechana-57736	111	18	p	p	X
bibechana-57736	111	19	,	,	PUNCT
bibechana-57736	111	20	d	d	NOUN
bibechana-57736	111	21	,	,	PUNCT
bibechana-57736	111	22	q	q	ADJ
bibechana-57736	111	23	parameters	parameter	NOUN
bibechana-57736	111	24	based	base	VERB
bibechana-57736	111	25	on	on	ADP
bibechana-57736	111	26	lowest	low	ADJ
bibechana-57736	111	27	mse	mse	PROPN
bibechana-57736	111	28	and	and	CCONJ
bibechana-57736	111	29	mae	mae	PROPN
bibechana-57736	111	30	.	.	PROPN
bibechana-57736	112	1	an	an	DET
bibechana-57736	112	2	lstm	lstm	PROPN
bibechana-57736	112	3	model	model	NOUN
bibechana-57736	112	4	was	be	AUX
bibechana-57736	112	5	developed	develop	VERB
bibechana-57736	112	6	for	for	ADP
bibechana-57736	112	7	time	time	NOUN
bibechana-57736	112	8	series	series	PROPN
bibechana-57736	112	9	forecasting	forecasting	PROPN
bibechana-57736	112	10	,	,	PUNCT
bibechana-57736	112	11	using	use	VERB
bibechana-57736	112	12	encoder	encoder	NOUN
bibechana-57736	112	13	-	-	PUNCT
bibechana-57736	112	14	decoder	decoder	NOUN
bibechana-57736	112	15	based	base	VERB
bibechana-57736	112	16	architecture	architecture	NOUN
bibechana-57736	112	17	.	.	PUNCT
bibechana-57736	113	1	a	a	DET
bibechana-57736	113	2	deep	deep	ADJ
bibechana-57736	113	3	neural	neural	ADJ
bibechana-57736	113	4	network	network	NOUN
bibechana-57736	113	5	(	(	PUNCT
bibechana-57736	113	6	dnn	dnn	PROPN
bibechana-57736	113	7	)	)	PUNCT
bibechana-57736	113	8	model	model	NOUN
bibechana-57736	113	9	was	be	AUX
bibechana-57736	113	10	developed	develop	VERB
bibechana-57736	113	11	for	for	ADP
bibechana-57736	113	12	spatial	spatial	ADJ
bibechana-57736	113	13	prediction	prediction	NOUN
bibechana-57736	113	14	at	at	ADP
bibechana-57736	113	15	different	different	ADJ
bibechana-57736	113	16	locations	location	NOUN
bibechana-57736	113	17	.	.	PUNCT
bibechana-57736	114	1	the	the	DET
bibechana-57736	114	2	model	model	NOUN
bibechana-57736	114	3	had	have	VERB
bibechana-57736	114	4	four	four	NUM
bibechana-57736	114	5	fully	fully	ADV
bibechana-57736	114	6	connected	connect	VERB
bibechana-57736	114	7	layers	layer	NOUN
bibechana-57736	114	8	,	,	PUNCT
bibechana-57736	114	9	adam	adam	PROPN
bibechana-57736	114	10	optimizer	optimizer	NOUN
bibechana-57736	114	11	,	,	PUNCT
bibechana-57736	114	12	mae	mae	PROPN
bibechana-57736	114	13	as	as	ADP
bibechana-57736	114	14	loss	loss	NOUN
bibechana-57736	114	15	function	function	NOUN
bibechana-57736	114	16	and	and	CCONJ
bibechana-57736	114	17	relu	relu	NOUN
bibechana-57736	114	18	activation	activation	NOUN
bibechana-57736	114	19	function	function	NOUN
bibechana-57736	114	20	for	for	ADP
bibechana-57736	114	21	each	each	DET
bibechana-57736	114	22	layer	layer	NOUN
bibechana-57736	114	23	.	.	PUNCT
bibechana-57736	115	1	3.4	3.4	NUM
bibechana-57736	115	2	arima	arima	PROPN
bibechana-57736	115	3	the	the	DET
bibechana-57736	115	4	arima	arima	PROPN
bibechana-57736	115	5	forecasting	forecasting	NOUN
bibechana-57736	115	6	equation	equation	NOUN
bibechana-57736	115	7	for	for	ADP
bibechana-57736	115	8	a	a	DET
bibechana-57736	115	9	stationary	stationary	ADJ
bibechana-57736	115	10	time	time	NOUN
bibechana-57736	115	11	series	series	NOUN
bibechana-57736	115	12	is	be	AUX
bibechana-57736	115	13	a	a	DET
bibechana-57736	115	14	linear	linear	ADJ
bibechana-57736	115	15	(	(	PUNCT
bibechana-57736	115	16	i.e.	i.e.	X
bibechana-57736	115	17	,	,	PUNCT
bibechana-57736	115	18	regression	regression	NOUN
bibechana-57736	115	19	-	-	PUNCT
bibechana-57736	115	20	type	type	NOUN
bibechana-57736	115	21	)	)	PUNCT
bibechana-57736	115	22	equation	equation	NOUN
bibechana-57736	115	23	in	in	ADP
bibechana-57736	115	24	which	which	PRON
bibechana-57736	115	25	the	the	DET
bibechana-57736	115	26	predictors	predictor	NOUN
bibechana-57736	115	27	consist	consist	VERB
bibechana-57736	115	28	of	of	ADP
bibechana-57736	115	29	lags	lag	NOUN
bibechana-57736	115	30	of	of	ADP
bibechana-57736	115	31	the	the	DET
bibechana-57736	115	32	dependent	dependent	ADJ
bibechana-57736	115	33	variable	variable	NOUN
bibechana-57736	115	34	and/or	and/or	CCONJ
bibechana-57736	115	35	lags	lag	NOUN
bibechana-57736	115	36	of	of	ADP
bibechana-57736	115	37	the	the	DET
bibechana-57736	115	38	forecast	forecast	NOUN
bibechana-57736	115	39	errors	error	NOUN
bibechana-57736	115	40	.	.	PUNCT
bibechana-57736	116	1	that	that	PRON
bibechana-57736	116	2	is	be	AUX
bibechana-57736	116	3	:	:	PUNCT
bibechana-57736	116	4	predicted	predict	VERB
bibechana-57736	116	5	value	value	NOUN
bibechana-57736	116	6	of	of	ADP
bibechana-57736	116	7	y	y	PROPN
bibechana-57736	116	8	=	=	PUNCT
bibechana-57736	116	9	a	a	DET
bibechana-57736	116	10	constant	constant	ADJ
bibechana-57736	116	11	and/or	and/or	CCONJ
bibechana-57736	116	12	a	a	DET
bibechana-57736	116	13	weighted	weighted	ADJ
bibechana-57736	116	14	sum	sum	NOUN
bibechana-57736	116	15	of	of	ADP
bibechana-57736	116	16	one	one	NUM
bibechana-57736	116	17	or	or	CCONJ
bibechana-57736	116	18	more	more	ADV
bibechana-57736	116	19	recent	recent	ADJ
bibechana-57736	116	20	values	value	NOUN
bibechana-57736	116	21	of	of	ADP
bibechana-57736	116	22	y	y	PROPN
bibechana-57736	116	23	and/or	and/or	CCONJ
bibechana-57736	116	24	a	a	DET
bibechana-57736	116	25	weighted	weighted	ADJ
bibechana-57736	116	26	sum	sum	NOUN
bibechana-57736	116	27	of	of	ADP
bibechana-57736	116	28	one	one	NUM
bibechana-57736	116	29	or	or	CCONJ
bibechana-57736	116	30	more	more	ADV
bibechana-57736	116	31	recent	recent	ADJ
bibechana-57736	116	32	values	value	NOUN
bibechana-57736	116	33	of	of	ADP
bibechana-57736	116	34	the	the	DET
bibechana-57736	116	35	errors	error	NOUN
bibechana-57736	116	36	.	.	PUNCT
bibechana-57736	117	1	a	a	DET
bibechana-57736	117	2	nonseasonal	nonseasonal	ADJ
bibechana-57736	117	3	arima	arima	NOUN
bibechana-57736	117	4	model	model	NOUN
bibechana-57736	117	5	is	be	AUX
bibechana-57736	117	6	classified	classify	VERB
bibechana-57736	117	7	as	as	ADP
bibechana-57736	117	8	an	an	DET
bibechana-57736	117	9	"	"	PUNCT
bibechana-57736	117	10	arima	arima	NOUN
bibechana-57736	117	11	(	(	PUNCT
bibechana-57736	117	12	p	p	X
bibechana-57736	117	13	,	,	PUNCT
bibechana-57736	117	14	d	d	NOUN
bibechana-57736	117	15	,	,	PUNCT
bibechana-57736	117	16	q	q	NOUN
bibechana-57736	117	17	)	)	PUNCT
bibechana-57736	117	18	"	"	PUNCT
bibechana-57736	117	19	model	model	NOUN
bibechana-57736	117	20	,	,	PUNCT
bibechana-57736	117	21	where	where	SCONJ
bibechana-57736	117	22	:	:	PUNCT
bibechana-57736	117	23	•	•	ADP
bibechana-57736	117	24	p	p	NOUN
bibechana-57736	117	25	is	be	AUX
bibechana-57736	117	26	the	the	DET
bibechana-57736	117	27	number	number	NOUN
bibechana-57736	117	28	of	of	ADP
bibechana-57736	117	29	autoregressive	autoregressive	ADJ
bibechana-57736	117	30	terms	term	NOUN
bibechana-57736	117	31	,	,	PUNCT
bibechana-57736	117	32	•	•	NOUN
bibechana-57736	117	33	d	d	NOUN
bibechana-57736	117	34	is	be	AUX
bibechana-57736	117	35	the	the	DET
bibechana-57736	117	36	number	number	NOUN
bibechana-57736	117	37	of	of	ADP
bibechana-57736	117	38	nonseasonal	nonseasonal	ADJ
bibechana-57736	117	39	differences	difference	NOUN
bibechana-57736	117	40	needed	need	VERB
bibechana-57736	117	41	for	for	ADP
bibechana-57736	117	42	stationarity	stationarity	NOUN
bibechana-57736	117	43	,	,	PUNCT
bibechana-57736	117	44	and	and	CCONJ
bibechana-57736	117	45	•	•	NOUN
bibechana-57736	117	46	q	q	NOUN
bibechana-57736	117	47	is	be	AUX
bibechana-57736	117	48	the	the	DET
bibechana-57736	117	49	number	number	NOUN
bibechana-57736	117	50	of	of	ADP
bibechana-57736	117	51	lagged	lag	VERB
bibechana-57736	117	52	forecast	forecast	NOUN
bibechana-57736	117	53	errors	error	NOUN
bibechana-57736	117	54	in	in	ADP
bibechana-57736	117	55	the	the	DET
bibechana-57736	117	56	prediction	prediction	NOUN
bibechana-57736	117	57	equation	equation	NOUN
bibechana-57736	117	58	.	.	PUNCT
bibechana-57736	118	1	ŷt	ŷt	VERB
bibechana-57736	119	1	=	=	PUNCT
bibechana-57736	119	2	µ+ϕ1yt−1+ϕpyt−p−θ1yt−1−	µ+ϕ1yt−1+ϕpyt−p−θ1yt−1−	NUM
bibechana-57736	119	3	...	...	PUNCT
bibechana-57736	119	4	−θqyt−q	−θqyt−q	NOUN
bibechana-57736	119	5	(	(	PUNCT
bibechana-57736	119	6	1	1	NUM
bibechana-57736	119	7	)	)	PUNCT
bibechana-57736	119	8	equation	equation	NOUN
bibechana-57736	119	9	1	1	NUM
bibechana-57736	119	10	general	general	ADJ
bibechana-57736	119	11	equation	equation	NOUN
bibechana-57736	119	12	for	for	ADP
bibechana-57736	119	13	arima	arima	PROPN
bibechana-57736	119	14	model	model	NOUN
bibechana-57736	119	15	.	.	PUNCT
bibechana-57736	120	1	ϕprepresents	ϕprepresent	VERB
bibechana-57736	120	2	the	the	DET
bibechana-57736	120	3	auto	auto	NOUN
bibechana-57736	120	4	-	-	PUNCT
bibechana-57736	120	5	regressive	regressive	ADJ
bibechana-57736	120	6	parameters	parameter	NOUN
bibechana-57736	120	7	;	;	PUNCT
bibechana-57736	120	8	y	y	PRON
bibechana-57736	120	9	represents	represent	VERB
bibechana-57736	120	10	the	the	DET
bibechana-57736	120	11	difference	difference	NOUN
bibechana-57736	120	12	terms	term	NOUN
bibechana-57736	120	13	;	;	PUNCT
bibechana-57736	120	14	i.e.	i.e.	X
bibechana-57736	120	15	if	if	SCONJ
bibechana-57736	120	16	d	d	PROPN
bibechana-57736	120	17	=	=	SYM
bibechana-57736	120	18	0	0	NUM
bibechana-57736	120	19	:	:	PUNCT
bibechana-57736	120	20	yt	yt	PROPN
bibechana-57736	120	21	=	=	PUNCT
bibechana-57736	120	22	yt	yt	PROPN
bibechana-57736	120	23	,	,	PUNCT
bibechana-57736	120	24	if	if	SCONJ
bibechana-57736	120	25	d	d	PROPN
bibechana-57736	120	26	=	=	SYM
bibechana-57736	120	27	1	1	NUM
bibechana-57736	120	28	yt	yt	NOUN
bibechana-57736	120	29	=	=	PUNCT
bibechana-57736	120	30	yt	yt	PROPN
bibechana-57736	120	31	yt−1	yt−1	PROPN
bibechana-57736	120	32	and	and	CCONJ
bibechana-57736	120	33	so	so	ADV
bibechana-57736	120	34	on	on	ADV
bibechana-57736	120	35	θp	θp	ADP
bibechana-57736	120	36	represents	represent	VERB
bibechana-57736	120	37	the	the	DET
bibechana-57736	120	38	moving	move	VERB
bibechana-57736	120	39	average	average	ADJ
bibechana-57736	120	40	parameters	parameter	NOUN
bibechana-57736	120	41	;	;	PUNCT
bibechana-57736	120	42	e	e	PRON
bibechana-57736	120	43	represents	represent	VERB
bibechana-57736	120	44	the	the	DET
bibechana-57736	120	45	error	error	NOUN
bibechana-57736	120	46	term	term	NOUN
bibechana-57736	120	47	at	at	ADP
bibechana-57736	120	48	each	each	DET
bibechana-57736	120	49	timestamp	timestamp	NOUN
bibechana-57736	120	50	;	;	PUNCT
bibechana-57736	120	51	µ	µ	X
bibechana-57736	120	52	is	be	AUX
bibechana-57736	120	53	the	the	DET
bibechana-57736	120	54	constant	constant	ADJ
bibechana-57736	120	55	.	.	PUNCT
bibechana-57736	121	1	the	the	DET
bibechana-57736	121	2	parameters	parameter	NOUN
bibechana-57736	121	3	(	(	PUNCT
bibechana-57736	121	4	p	p	X
bibechana-57736	121	5	,	,	PUNCT
bibechana-57736	121	6	d	d	NOUN
bibechana-57736	121	7	,	,	PUNCT
bibechana-57736	121	8	q	q	NOUN
bibechana-57736	121	9	)	)	PUNCT
bibechana-57736	121	10	imply	imply	VERB
bibechana-57736	121	11	the	the	DET
bibechana-57736	121	12	order	order	NOUN
bibechana-57736	121	13	of	of	ADP
bibechana-57736	121	14	the	the	DET
bibechana-57736	121	15	model	model	NOUN
bibechana-57736	121	16	.	.	PUNCT
bibechana-57736	122	1	while	while	SCONJ
bibechana-57736	122	2	selecting	select	VERB
bibechana-57736	122	3	the	the	DET
bibechana-57736	122	4	suitable	suitable	ADJ
bibechana-57736	122	5	order	order	NOUN
bibechana-57736	122	6	for	for	ADP
bibechana-57736	122	7	the	the	DET
bibechana-57736	122	8	model	model	NOUN
bibechana-57736	122	9	,	,	PUNCT
bibechana-57736	122	10	aic	aic	PROPN
bibechana-57736	122	11	(	(	PUNCT
bibechana-57736	122	12	akaike	akaike	ADJ
bibechana-57736	122	13	information	information	NOUN
bibechana-57736	122	14	criterion	criterion	NOUN
bibechana-57736	122	15	)	)	PUNCT
bibechana-57736	122	16	and	and	CCONJ
bibechana-57736	122	17	bic	bic	PROPN
bibechana-57736	122	18	(	(	PUNCT
bibechana-57736	122	19	bayesian	bayesian	NOUN
bibechana-57736	122	20	information	information	NOUN
bibechana-57736	122	21	criterion	criterion	NOUN
bibechana-57736	122	22	)	)	PUNCT
bibechana-57736	122	23	are	be	AUX
bibechana-57736	122	24	used	use	VERB
bibechana-57736	122	25	to	to	PART
bibechana-57736	122	26	evaluate	evaluate	VERB
bibechana-57736	122	27	the	the	DET
bibechana-57736	122	28	quality	quality	NOUN
bibechana-57736	122	29	of	of	ADP
bibechana-57736	122	30	statistical	statistical	ADJ
bibechana-57736	122	31	models	model	NOUN
bibechana-57736	122	32	by	by	ADP
bibechana-57736	122	33	balancing	balance	VERB
bibechana-57736	122	34	their	their	PRON
bibechana-57736	122	35	complexity	complexity	NOUN
bibechana-57736	122	36	and	and	CCONJ
bibechana-57736	122	37	goodness	goodness	NOUN
bibechana-57736	122	38	of	of	ADP
bibechana-57736	122	39	fit	fit	PROPN
bibechana-57736	122	40	.	.	PUNCT
bibechana-57736	123	1	the	the	DET
bibechana-57736	123	2	aic	aic	PROPN
bibechana-57736	123	3	is	be	AUX
bibechana-57736	123	4	a	a	DET
bibechana-57736	123	5	measure	measure	NOUN
bibechana-57736	123	6	of	of	ADP
bibechana-57736	123	7	the	the	DET
bibechana-57736	123	8	relative	relative	ADJ
bibechana-57736	123	9	quality	quality	NOUN
bibechana-57736	123	10	of	of	ADP
bibechana-57736	123	11	a	a	DET
bibechana-57736	123	12	statistical	statistical	ADJ
bibechana-57736	123	13	model	model	NOUN
bibechana-57736	123	14	for	for	ADP
bibechana-57736	123	15	a	a	DET
bibechana-57736	123	16	given	give	VERB
bibechana-57736	123	17	set	set	NOUN
bibechana-57736	123	18	of	of	ADP
bibechana-57736	123	19	data	datum	NOUN
bibechana-57736	123	20	.	.	PUNCT
bibechana-57736	124	1	it	it	PRON
bibechana-57736	124	2	is	be	AUX
bibechana-57736	124	3	defined	define	VERB
bibechana-57736	124	4	as	as	ADP
bibechana-57736	124	5	:	:	PUNCT
bibechana-57736	124	6	aic	aic	PROPN
bibechana-57736	124	7	=	=	PROPN
bibechana-57736	124	8	2k	2k	PROPN
bibechana-57736	124	9	−	−	NOUN
bibechana-57736	124	10	2ln(l	2ln(l	NUM
bibechana-57736	124	11	)	)	PUNCT
bibechana-57736	124	12	(	(	PUNCT
bibechana-57736	124	13	2	2	X
bibechana-57736	124	14	)	)	PUNCT
bibechana-57736	124	15	where	where	SCONJ
bibechana-57736	124	16	,	,	PUNCT
bibechana-57736	124	17	k	k	PROPN
bibechana-57736	124	18	is	be	AUX
bibechana-57736	124	19	the	the	DET
bibechana-57736	124	20	number	number	NOUN
bibechana-57736	124	21	of	of	ADP
bibechana-57736	124	22	parameters	parameter	NOUN
bibechana-57736	124	23	in	in	ADP
bibechana-57736	124	24	the	the	DET
bibechana-57736	124	25	model	model	NOUN
bibechana-57736	124	26	and	and	CCONJ
bibechana-57736	124	27	l	l	NOUN
bibechana-57736	124	28	is	be	AUX
bibechana-57736	124	29	the	the	DET
bibechana-57736	124	30	maximum	maximum	ADJ
bibechana-57736	124	31	likelihood	likelihood	NOUN
bibechana-57736	124	32	estimate	estimate	NOUN
bibechana-57736	124	33	of	of	ADP
bibechana-57736	124	34	the	the	DET
bibechana-57736	124	35	likelihood	likelihood	NOUN
bibechana-57736	124	36	function	function	NOUN
bibechana-57736	124	37	of	of	ADP
bibechana-57736	124	38	the	the	DET
bibechana-57736	124	39	model	model	NOUN
bibechana-57736	124	40	.	.	PUNCT
bibechana-57736	125	1	the	the	DET
bibechana-57736	125	2	aic	aic	PROPN
bibechana-57736	125	3	balances	balance	VERB
bibechana-57736	125	4	the	the	DET
bibechana-57736	125	5	trade	trade	NOUN
bibechana-57736	125	6	-	-	PUNCT
bibechana-57736	125	7	off	off	NOUN
bibechana-57736	125	8	between	between	ADP
bibechana-57736	125	9	the	the	DET
bibechana-57736	125	10	goodness	goodness	NOUN
bibechana-57736	125	11	of	of	ADP
bibechana-57736	125	12	fit	fit	NOUN
bibechana-57736	125	13	and	and	CCONJ
bibechana-57736	125	14	the	the	DET
bibechana-57736	125	15	complexity	complexity	NOUN
bibechana-57736	125	16	of	of	ADP
bibechana-57736	125	17	the	the	DET
bibechana-57736	125	18	model	model	NOUN
bibechana-57736	125	19	,	,	PUNCT
bibechana-57736	125	20	and	and	CCONJ
bibechana-57736	125	21	the	the	DET
bibechana-57736	125	22	model	model	NOUN
bibechana-57736	125	23	with	with	ADP
bibechana-57736	125	24	the	the	DET
bibechana-57736	125	25	lowest	low	ADJ
bibechana-57736	125	26	aic	aic	PROPN
bibechana-57736	125	27	is	be	AUX
bibechana-57736	125	28	preferred	prefer	VERB
bibechana-57736	125	29	.	.	PUNCT
bibechana-57736	126	1	the	the	DET
bibechana-57736	126	2	bic	bic	PROPN
bibechana-57736	126	3	is	be	AUX
bibechana-57736	126	4	similar	similar	ADJ
bibechana-57736	126	5	to	to	ADP
bibechana-57736	126	6	the	the	DET
bibechana-57736	126	7	aic	aic	PROPN
bibechana-57736	126	8	but	but	CCONJ
bibechana-57736	126	9	places	place	VERB
bibechana-57736	126	10	a	a	DET
bibechana-57736	126	11	stronger	strong	ADJ
bibechana-57736	126	12	penalty	penalty	NOUN
bibechana-57736	126	13	on	on	ADP
bibechana-57736	126	14	model	model	NOUN
bibechana-57736	126	15	complexity	complexity	NOUN
bibechana-57736	126	16	.	.	PUNCT
bibechana-57736	127	1	it	it	PRON
bibechana-57736	127	2	is	be	AUX
bibechana-57736	127	3	defined	define	VERB
bibechana-57736	127	4	as	as	ADP
bibechana-57736	127	5	:	:	PUNCT
bibechana-57736	127	6	bic	bic	PROPN
bibechana-57736	127	7	=	=	PROPN
bibechana-57736	127	8	kln(n)−	kln(n)−	PROPN
bibechana-57736	127	9	2ln(l	2ln(l	NUM
bibechana-57736	127	10	)	)	PUNCT
bibechana-57736	127	11	(	(	PUNCT
bibechana-57736	127	12	3	3	X
bibechana-57736	127	13	)	)	PUNCT
bibechana-57736	127	14	where	where	SCONJ
bibechana-57736	127	15	,	,	PUNCT
bibechana-57736	127	16	n	n	PRON
bibechana-57736	127	17	is	be	AUX
bibechana-57736	127	18	the	the	DET
bibechana-57736	127	19	sample	sample	NOUN
bibechana-57736	127	20	size	size	NOUN
bibechana-57736	127	21	,	,	PUNCT
bibechana-57736	127	22	k	k	PROPN
bibechana-57736	127	23	is	be	AUX
bibechana-57736	127	24	the	the	DET
bibechana-57736	127	25	number	number	NOUN
bibechana-57736	127	26	of	of	ADP
bibechana-57736	127	27	parameters	parameter	NOUN
bibechana-57736	127	28	in	in	ADP
bibechana-57736	127	29	the	the	DET
bibechana-57736	127	30	model	model	NOUN
bibechana-57736	127	31	and	and	CCONJ
bibechana-57736	127	32	l	l	NOUN
bibechana-57736	127	33	is	be	AUX
bibechana-57736	127	34	the	the	DET
bibechana-57736	127	35	maximum	maximum	ADJ
bibechana-57736	127	36	likelihood	likelihood	NOUN
bibechana-57736	127	37	estimate	estimate	NOUN
bibechana-57736	127	38	of	of	ADP
bibechana-57736	127	39	the	the	DET
bibechana-57736	127	40	likelihood	likelihood	NOUN
bibechana-57736	127	41	function	function	NOUN
bibechana-57736	127	42	of	of	ADP
bibechana-57736	127	43	the	the	DET
bibechana-57736	127	44	model	model	NOUN
bibechana-57736	127	45	.	.	PUNCT
bibechana-57736	128	1	the	the	DET
bibechana-57736	128	2	bic	bic	PROPN
bibechana-57736	128	3	is	be	AUX
bibechana-57736	128	4	based	base	VERB
bibechana-57736	128	5	on	on	ADP
bibechana-57736	128	6	the	the	DET
bibechana-57736	128	7	bayesian	bayesian	NOUN
bibechana-57736	128	8	approach	approach	NOUN
bibechana-57736	128	9	,	,	PUNCT
bibechana-57736	128	10	where	where	SCONJ
bibechana-57736	128	11	the	the	DET
bibechana-57736	128	12	model	model	NOUN
bibechana-57736	128	13	with	with	ADP
bibechana-57736	128	14	the	the	DET
bibechana-57736	128	15	highest	high	ADJ
bibechana-57736	128	16	posterior	posterior	ADJ
bibechana-57736	128	17	probability	probability	NOUN
bibechana-57736	128	18	is	be	AUX
bibechana-57736	128	19	preferred	prefer	VERB
bibechana-57736	128	20	.	.	PUNCT
bibechana-57736	129	1	the	the	DET
bibechana-57736	129	2	bic	bic	PROPN
bibechana-57736	129	3	penalizes	penalize	NOUN
bibechana-57736	129	4	complex	complex	ADJ
bibechana-57736	129	5	models	model	NOUN
bibechana-57736	129	6	more	more	ADJ
bibechana-57736	129	7	than	than	ADP
bibechana-57736	129	8	the	the	DET
bibechana-57736	129	9	aic	aic	PROPN
bibechana-57736	129	10	,	,	PUNCT
bibechana-57736	129	11	and	and	CCONJ
bibechana-57736	129	12	the	the	DET
bibechana-57736	129	13	model	model	NOUN
bibechana-57736	129	14	with	with	ADP
bibechana-57736	129	15	the	the	DET
bibechana-57736	129	16	lowest	low	ADJ
bibechana-57736	129	17	bic	bic	NOUN
bibechana-57736	129	18	is	be	AUX
bibechana-57736	129	19	preferred	prefer	VERB
bibechana-57736	129	20	.	.	PUNCT
bibechana-57736	130	1	pujan	pujan	PROPN
bibechana-57736	130	2	bashyal	bashyal	PROPN
bibechana-57736	130	3	et	et	PROPN
bibechana-57736	130	4	al./	al./	ADV
bibechana-57736	130	5	bibechana	bibechana	PROPN
bibechana-57736	130	6	20	20	NUM
bibechana-57736	130	7	(	(	PUNCT
bibechana-57736	130	8	2023	2023	NUM
bibechana-57736	130	9	)	)	PUNCT
bibechana-57736	130	10	248	248	NUM
bibechana-57736	130	11	-	-	SYM
bibechana-57736	130	12	258	258	NUM
bibechana-57736	130	13	252	252	NUM
bibechana-57736	130	14	table	table	NOUN
bibechana-57736	130	15	1	1	NUM
bibechana-57736	130	16	:	:	PUNCT
bibechana-57736	130	17	order	order	NOUN
bibechana-57736	130	18	of	of	ADP
bibechana-57736	130	19	arima	arima	PROPN
bibechana-57736	130	20	model	model	NOUN
bibechana-57736	130	21	for	for	ADP
bibechana-57736	130	22	various	various	ADJ
bibechana-57736	130	23	parameters	parameter	NOUN
bibechana-57736	130	24	parameter	parameter	NOUN
bibechana-57736	130	25	p	p	PROPN
bibechana-57736	131	1	q	q	PROPN
bibechana-57736	132	1	d	d	X
bibechana-57736	132	2	do	do	AUX
bibechana-57736	132	3	1	1	NUM
bibechana-57736	132	4	1	1	NUM
bibechana-57736	132	5	1	1	NUM
bibechana-57736	132	6	ph	ph	NOUN
bibechana-57736	132	7	3	3	NUM
bibechana-57736	132	8	1	1	NUM
bibechana-57736	132	9	0	0	NUM
bibechana-57736	132	10	temperature	temperature	NOUN
bibechana-57736	132	11	0	0	NUM
bibechana-57736	132	12	1	1	NUM
bibechana-57736	132	13	0	0	NUM
bibechana-57736	132	14	orp	orp	NOUN
bibechana-57736	132	15	0	0	NUM
bibechana-57736	132	16	1	1	NUM
bibechana-57736	132	17	0	0	NUM
bibechana-57736	132	18	ec	ec	NOUN
bibechana-57736	132	19	0	0	NUM
bibechana-57736	132	20	1	1	NUM
bibechana-57736	132	21	1	1	NUM
bibechana-57736	132	22	tds	td	VERB
bibechana-57736	132	23	0	0	NUM
bibechana-57736	132	24	1	1	NUM
bibechana-57736	132	25	1	1	NUM
bibechana-57736	132	26	the	the	DET
bibechana-57736	132	27	first	first	ADJ
bibechana-57736	132	28	step	step	NOUN
bibechana-57736	132	29	converts	convert	VERB
bibechana-57736	132	30	the	the	DET
bibechana-57736	132	31	dataset	dataset	NOUN
bibechana-57736	132	32	into	into	ADP
bibechana-57736	132	33	a	a	DET
bibechana-57736	132	34	time	time	NOUN
bibechana-57736	132	35	series	series	NOUN
bibechana-57736	132	36	format	format	NOUN
bibechana-57736	132	37	by	by	ADP
bibechana-57736	132	38	setting	set	VERB
bibechana-57736	132	39	the	the	DET
bibechana-57736	132	40	time	time	NOUN
bibechana-57736	132	41	column	column	NOUN
bibechana-57736	132	42	as	as	ADP
bibechana-57736	132	43	the	the	DET
bibechana-57736	132	44	index	index	NOUN
bibechana-57736	132	45	and	and	CCONJ
bibechana-57736	132	46	defining	define	VERB
bibechana-57736	132	47	the	the	DET
bibechana-57736	132	48	water	water	NOUN
bibechana-57736	132	49	quality	quality	NOUN
bibechana-57736	132	50	parameters	parameter	NOUN
bibechana-57736	132	51	as	as	ADP
bibechana-57736	132	52	feature	feature	NOUN
bibechana-57736	132	53	columns	column	NOUN
bibechana-57736	132	54	.	.	PUNCT
bibechana-57736	133	1	this	this	PRON
bibechana-57736	133	2	structures	structure	VERB
bibechana-57736	133	3	the	the	DET
bibechana-57736	133	4	data	datum	NOUN
bibechana-57736	133	5	for	for	ADP
bibechana-57736	133	6	temporal	temporal	ADJ
bibechana-57736	133	7	modelling	modelling	NOUN
bibechana-57736	133	8	.	.	PUNCT
bibechana-57736	134	1	next	next	ADV
bibechana-57736	134	2	,	,	PUNCT
bibechana-57736	134	3	the	the	DET
bibechana-57736	134	4	stats	stat	NOUN
bibechana-57736	134	5	-	-	PUNCT
bibechana-57736	134	6	models	model	NOUN
bibechana-57736	134	7	library	library	NOUN
bibechana-57736	134	8	’s	’s	PART
bibechana-57736	134	9	auto	auto	NOUN
bibechana-57736	134	10	arima	arima	NOUN
bibechana-57736	134	11	capability	capability	NOUN
bibechana-57736	134	12	is	be	AUX
bibechana-57736	134	13	leveraged	leverage	VERB
bibechana-57736	134	14	to	to	PART
bibechana-57736	134	15	automatically	automatically	ADV
bibechana-57736	134	16	optimize	optimize	VERB
bibechana-57736	134	17	the	the	DET
bibechana-57736	134	18	arima	arima	PROPN
bibechana-57736	134	19	parameters	parameter	NOUN
bibechana-57736	134	20	p	p	X
bibechana-57736	134	21	,	,	PUNCT
bibechana-57736	134	22	d	d	NOUN
bibechana-57736	134	23	,	,	PUNCT
bibechana-57736	134	24	and	and	CCONJ
bibechana-57736	134	25	q	q	PROPN
bibechana-57736	134	26	based	base	VERB
bibechana-57736	134	27	on	on	ADP
bibechana-57736	134	28	the	the	DET
bibechana-57736	134	29	data	data	NOUN
bibechana-57736	134	30	characteristics	characteristic	NOUN
bibechana-57736	134	31	.	.	PUNCT
bibechana-57736	135	1	the	the	DET
bibechana-57736	135	2	optimized	optimize	VERB
bibechana-57736	135	3	model	model	NOUN
bibechana-57736	135	4	order	order	NOUN
bibechana-57736	135	5	provides	provide	VERB
bibechana-57736	135	6	the	the	DET
bibechana-57736	135	7	best	good	ADJ
bibechana-57736	135	8	starting	starting	NOUN
bibechana-57736	135	9	point	point	NOUN
bibechana-57736	135	10	for	for	ADP
bibechana-57736	135	11	the	the	DET
bibechana-57736	135	12	arima	arima	PROPN
bibechana-57736	135	13	modelling	modelling	NOUN
bibechana-57736	135	14	.	.	PUNCT
bibechana-57736	136	1	the	the	DET
bibechana-57736	136	2	dataset	dataset	NOUN
bibechana-57736	136	3	is	be	AUX
bibechana-57736	136	4	then	then	ADV
bibechana-57736	136	5	partitioned	partition	VERB
bibechana-57736	136	6	into	into	ADP
bibechana-57736	136	7	separate	separate	ADJ
bibechana-57736	136	8	training	training	NOUN
bibechana-57736	136	9	and	and	CCONJ
bibechana-57736	136	10	testing	testing	NOUN
bibechana-57736	136	11	sets	set	NOUN
bibechana-57736	136	12	to	to	PART
bibechana-57736	136	13	validate	validate	VERB
bibechana-57736	136	14	the	the	DET
bibechana-57736	136	15	model	model	NOUN
bibechana-57736	136	16	’s	’s	PART
bibechana-57736	136	17	performance	performance	NOUN
bibechana-57736	136	18	.	.	PUNCT
bibechana-57736	137	1	the	the	DET
bibechana-57736	137	2	arima	arima	PROPN
bibechana-57736	137	3	model	model	NOUN
bibechana-57736	137	4	is	be	AUX
bibechana-57736	137	5	trained	train	VERB
bibechana-57736	137	6	on	on	ADP
bibechana-57736	137	7	the	the	DET
bibechana-57736	137	8	training	training	NOUN
bibechana-57736	137	9	data	datum	NOUN
bibechana-57736	137	10	,	,	PUNCT
bibechana-57736	137	11	and	and	CCONJ
bibechana-57736	137	12	the	the	DET
bibechana-57736	137	13	testing	testing	NOUN
bibechana-57736	137	14	data	datum	NOUN
bibechana-57736	137	15	is	be	AUX
bibechana-57736	137	16	used	use	VERB
bibechana-57736	137	17	to	to	PART
bibechana-57736	137	18	evaluate	evaluate	VERB
bibechana-57736	137	19	the	the	DET
bibechana-57736	137	20	model	model	NOUN
bibechana-57736	137	21	’s	’s	PART
bibechana-57736	137	22	accuracy	accuracy	NOUN
bibechana-57736	137	23	.	.	PUNCT
bibechana-57736	138	1	the	the	DET
bibechana-57736	138	2	model	model	NOUN
bibechana-57736	138	3	’s	’s	PART
bibechana-57736	138	4	predictions	prediction	NOUN
bibechana-57736	138	5	are	be	AUX
bibechana-57736	138	6	compared	compare	VERB
bibechana-57736	138	7	with	with	ADP
bibechana-57736	138	8	the	the	DET
bibechana-57736	138	9	actual	actual	ADJ
bibechana-57736	138	10	data	datum	NOUN
bibechana-57736	138	11	in	in	ADP
bibechana-57736	138	12	the	the	DET
bibechana-57736	138	13	testing	testing	NOUN
bibechana-57736	138	14	set	set	VERB
bibechana-57736	138	15	to	to	PART
bibechana-57736	138	16	assess	assess	VERB
bibechana-57736	138	17	its	its	PRON
bibechana-57736	138	18	performance	performance	NOUN
bibechana-57736	138	19	.	.	PUNCT
bibechana-57736	139	1	the	the	DET
bibechana-57736	139	2	mean	mean	ADJ
bibechana-57736	139	3	squared	square	VERB
bibechana-57736	139	4	error	error	NOUN
bibechana-57736	139	5	(	(	PUNCT
bibechana-57736	139	6	mse	mse	NOUN
bibechana-57736	139	7	)	)	PUNCT
bibechana-57736	139	8	and	and	CCONJ
bibechana-57736	139	9	mean	mean	VERB
bibechana-57736	139	10	absolute	absolute	ADJ
bibechana-57736	139	11	error	error	NOUN
bibechana-57736	139	12	(	(	PUNCT
bibechana-57736	139	13	mae	mae	PROPN
bibechana-57736	139	14	)	)	PUNCT
bibechana-57736	139	15	are	be	AUX
bibechana-57736	139	16	calculated	calculate	VERB
bibechana-57736	139	17	as	as	SCONJ
bibechana-57736	139	18	metrics	metric	NOUN
bibechana-57736	139	19	to	to	PART
bibechana-57736	139	20	quantify	quantify	VERB
bibechana-57736	139	21	the	the	DET
bibechana-57736	139	22	model	model	NOUN
bibechana-57736	139	23	’s	’s	PART
bibechana-57736	139	24	accuracy	accuracy	NOUN
bibechana-57736	139	25	.	.	PUNCT
bibechana-57736	140	1	these	these	DET
bibechana-57736	140	2	metrics	metric	NOUN
bibechana-57736	140	3	provide	provide	VERB
bibechana-57736	140	4	insights	insight	NOUN
bibechana-57736	140	5	into	into	ADP
bibechana-57736	140	6	how	how	SCONJ
bibechana-57736	140	7	well	well	ADV
bibechana-57736	140	8	the	the	DET
bibechana-57736	140	9	arima	arima	PROPN
bibechana-57736	140	10	model	model	NOUN
bibechana-57736	140	11	predicts	predict	VERB
bibechana-57736	140	12	the	the	DET
bibechana-57736	140	13	water	water	NOUN
bibechana-57736	140	14	quality	quality	NOUN
bibechana-57736	140	15	parameters	parameter	NOUN
bibechana-57736	140	16	.	.	PUNCT
bibechana-57736	141	1	figure	figure	VERB
bibechana-57736	141	2	1	1	NUM
bibechana-57736	141	3	:	:	PUNCT
bibechana-57736	141	4	methodology	methodology	NOUN
bibechana-57736	141	5	followed	follow	VERB
bibechana-57736	141	6	in	in	ADP
bibechana-57736	141	7	the	the	DET
bibechana-57736	141	8	research	research	NOUN
bibechana-57736	141	9	.	.	PUNCT
bibechana-57736	142	1	figure	figure	NOUN
bibechana-57736	142	2	2	2	NUM
bibechana-57736	142	3	:	:	PUNCT
bibechana-57736	142	4	steps	step	NOUN
bibechana-57736	142	5	for	for	ADP
bibechana-57736	142	6	implementation	implementation	NOUN
bibechana-57736	142	7	of	of	ADP
bibechana-57736	142	8	arima	arima	PROPN
bibechana-57736	142	9	model	model	NOUN
bibechana-57736	142	10	.	.	PUNCT
bibechana-57736	143	1	3.5	3.5	NUM
bibechana-57736	143	2	lstm	lstm	NOUN
bibechana-57736	143	3	the	the	DET
bibechana-57736	143	4	lstm	lstm	NOUN
bibechana-57736	143	5	has	have	VERB
bibechana-57736	143	6	an	an	DET
bibechana-57736	143	7	input	input	NOUN
bibechana-57736	143	8	x(t	x(t	PROPN
bibechana-57736	143	9	)	)	PUNCT
bibechana-57736	143	10	which	which	PRON
bibechana-57736	143	11	can	can	AUX
bibechana-57736	143	12	be	be	AUX
bibechana-57736	143	13	the	the	DET
bibechana-57736	143	14	output	output	NOUN
bibechana-57736	143	15	of	of	ADP
bibechana-57736	143	16	a	a	DET
bibechana-57736	143	17	cnn	cnn	NOUN
bibechana-57736	143	18	or	or	CCONJ
bibechana-57736	143	19	the	the	DET
bibechana-57736	143	20	input	input	NOUN
bibechana-57736	143	21	sequence	sequence	NOUN
bibechana-57736	143	22	directly	directly	ADV
bibechana-57736	143	23	.	.	PUNCT
bibechana-57736	144	1	h(t-1	h(t-1	ADV
bibechana-57736	144	2	)	)	PUNCT
bibechana-57736	144	3	and	and	CCONJ
bibechana-57736	144	4	c(t-1	c(t-1	ADJ
bibechana-57736	144	5	)	)	PUNCT
bibechana-57736	144	6	are	be	AUX
bibechana-57736	144	7	the	the	DET
bibechana-57736	144	8	inputs	input	NOUN
bibechana-57736	144	9	from	from	ADP
bibechana-57736	144	10	the	the	DET
bibechana-57736	144	11	previous	previous	ADJ
bibechana-57736	144	12	timestep	timestep	NOUN
bibechana-57736	144	13	lstm	lstm	NOUN
bibechana-57736	144	14	.	.	PUNCT
bibechana-57736	145	1	o(t	o(t	NOUN
bibechana-57736	145	2	)	)	PUNCT
bibechana-57736	146	1	is	be	AUX
bibechana-57736	146	2	the	the	DET
bibechana-57736	146	3	output	output	NOUN
bibechana-57736	146	4	of	of	ADP
bibechana-57736	146	5	the	the	DET
bibechana-57736	146	6	lstm	lstm	NOUN
bibechana-57736	146	7	for	for	ADP
bibechana-57736	146	8	this	this	DET
bibechana-57736	146	9	timestep	timestep	NOUN
bibechana-57736	146	10	.	.	PUNCT
bibechana-57736	147	1	the	the	DET
bibechana-57736	147	2	lstm	lstm	PROPN
bibechana-57736	147	3	also	also	ADV
bibechana-57736	147	4	generates	generate	VERB
bibechana-57736	147	5	the	the	DET
bibechana-57736	147	6	c(t	c(t	PROPN
bibechana-57736	147	7	)	)	PUNCT
bibechana-57736	147	8	and	and	CCONJ
bibechana-57736	147	9	h(t	h(t	NUM
bibechana-57736	147	10	)	)	PUNCT
bibechana-57736	147	11	for	for	ADP
bibechana-57736	147	12	the	the	DET
bibechana-57736	147	13	consumption	consumption	NOUN
bibechana-57736	147	14	of	of	ADP
bibechana-57736	147	15	the	the	DET
bibechana-57736	147	16	next	next	ADJ
bibechana-57736	147	17	time	time	NOUN
bibechana-57736	147	18	step	step	NOUN
bibechana-57736	147	19	lstm	lstm	PROPN
bibechana-57736	147	20	.	.	PUNCT
bibechana-57736	148	1	the	the	DET
bibechana-57736	148	2	first	first	ADJ
bibechana-57736	148	3	step	step	NOUN
bibechana-57736	148	4	in	in	ADP
bibechana-57736	148	5	the	the	DET
bibechana-57736	148	6	lstm	lstm	NOUN
bibechana-57736	148	7	involves	involve	VERB
bibechana-57736	148	8	converting	convert	VERB
bibechana-57736	148	9	the	the	DET
bibechana-57736	148	10	dataset	dataset	NOUN
bibechana-57736	148	11	into	into	ADP
bibechana-57736	148	12	a	a	DET
bibechana-57736	148	13	time	time	NOUN
bibechana-57736	148	14	series	series	NOUN
bibechana-57736	148	15	format	format	NOUN
bibechana-57736	148	16	by	by	ADP
bibechana-57736	148	17	setting	set	VERB
bibechana-57736	148	18	the	the	DET
bibechana-57736	148	19	time	time	NOUN
bibechana-57736	148	20	column	column	NOUN
bibechana-57736	148	21	as	as	ADP
bibechana-57736	148	22	the	the	DET
bibechana-57736	148	23	index	index	NOUN
bibechana-57736	148	24	and	and	CCONJ
bibechana-57736	148	25	the	the	DET
bibechana-57736	148	26	water	water	NOUN
bibechana-57736	148	27	quality	quality	NOUN
bibechana-57736	148	28	parameters	parameter	NOUN
bibechana-57736	148	29	as	as	ADP
bibechana-57736	148	30	feature	feature	NOUN
bibechana-57736	148	31	columns	column	NOUN
bibechana-57736	148	32	.	.	PUNCT
bibechana-57736	149	1	this	this	PRON
bibechana-57736	149	2	prepares	prepare	VERB
bibechana-57736	149	3	the	the	DET
bibechana-57736	149	4	data	datum	NOUN
bibechana-57736	149	5	for	for	ADP
bibechana-57736	149	6	temporal	temporal	ADJ
bibechana-57736	149	7	modelling	modelling	NOUN
bibechana-57736	149	8	.	.	PUNCT
bibechana-57736	150	1	next	next	ADJ
bibechana-57736	150	2	,	,	PUNCT
bibechana-57736	150	3	minmax	minmax	X
bibechana-57736	150	4	scaling	scaling	NOUN
bibechana-57736	150	5	is	be	AUX
bibechana-57736	150	6	applied	apply	VERB
bibechana-57736	150	7	to	to	PART
bibechana-57736	150	8	normalize	normalize	VERB
bibechana-57736	150	9	all	all	DET
bibechana-57736	150	10	features	feature	NOUN
bibechana-57736	150	11	to	to	ADP
bibechana-57736	150	12	a	a	DET
bibechana-57736	150	13	common	common	ADJ
bibechana-57736	150	14	0	0	NUM
bibechana-57736	150	15	-	-	SYM
bibechana-57736	150	16	1	1	NUM
bibechana-57736	150	17	range	range	NOUN
bibechana-57736	150	18	,	,	PUNCT
bibechana-57736	150	19	which	which	PRON
bibechana-57736	150	20	aids	aid	VERB
bibechana-57736	150	21	model	model	NOUN
bibechana-57736	150	22	optimization	optimization	NOUN
bibechana-57736	150	23	.	.	PUNCT
bibechana-57736	151	1	the	the	DET
bibechana-57736	151	2	dataset	dataset	NOUN
bibechana-57736	151	3	is	be	AUX
bibechana-57736	151	4	then	then	ADV
bibechana-57736	151	5	split	split	VERB
bibechana-57736	151	6	into	into	ADP
bibechana-57736	151	7	training	training	NOUN
bibechana-57736	151	8	and	and	CCONJ
bibechana-57736	151	9	validation	validation	NOUN
bibechana-57736	151	10	/	/	SYM
bibechana-57736	151	11	testing	testing	NOUN
bibechana-57736	151	12	sets	set	NOUN
bibechana-57736	151	13	in	in	ADP
bibechana-57736	151	14	a	a	DET
bibechana-57736	151	15	ratio	ratio	NOUN
bibechana-57736	151	16	suitable	suitable	ADJ
bibechana-57736	151	17	for	for	ADP
bibechana-57736	151	18	the	the	DET
bibechana-57736	151	19	problem	problem	NOUN
bibechana-57736	151	20	,	,	PUNCT
bibechana-57736	151	21	such	such	ADJ
bibechana-57736	151	22	as	as	ADP
bibechana-57736	151	23	80:20	80:20	NUM
bibechana-57736	151	24	or	or	CCONJ
bibechana-57736	151	25	70:30	70:30	NUM
bibechana-57736	151	26	.	.	PUNCT
bibechana-57736	152	1	with	with	ADP
bibechana-57736	152	2	the	the	DET
bibechana-57736	152	3	data	datum	NOUN
bibechana-57736	152	4	ready	ready	ADJ
bibechana-57736	152	5	,	,	PUNCT
bibechana-57736	152	6	the	the	DET
bibechana-57736	152	7	model	model	NOUN
bibechana-57736	152	8	architecture	architecture	NOUN
bibechana-57736	152	9	is	be	AUX
bibechana-57736	152	10	defined	define	VERB
bibechana-57736	152	11	by	by	ADP
bibechana-57736	152	12	specifying	specify	VERB
bibechana-57736	152	13	the	the	DET
bibechana-57736	152	14	type	type	NOUN
bibechana-57736	152	15	and	and	CCONJ
bibechana-57736	152	16	sequence	sequence	NOUN
bibechana-57736	152	17	of	of	ADP
bibechana-57736	152	18	layers	layer	NOUN
bibechana-57736	152	19	,	,	PUNCT
bibechana-57736	152	20	like	like	ADP
bibechana-57736	152	21	input	input	NOUN
bibechana-57736	152	22	,	,	PUNCT
bibechana-57736	152	23	hidden	hidden	ADJ
bibechana-57736	152	24	and	and	CCONJ
bibechana-57736	152	25	output	output	NOUN
bibechana-57736	152	26	layers	layer	NOUN
bibechana-57736	152	27	,	,	PUNCT
bibechana-57736	152	28	that	that	SCONJ
bibechana-57736	152	29	the	the	DET
bibechana-57736	152	30	data	datum	NOUN
bibechana-57736	152	31	will	will	AUX
bibechana-57736	152	32	flow	flow	VERB
bibechana-57736	152	33	through	through	ADV
bibechana-57736	152	34	.	.	PUNCT
bibechana-57736	153	1	the	the	DET
bibechana-57736	153	2	tensorflow	tensorflow	NOUN
bibechana-57736	153	3	library	library	NOUN
bibechana-57736	153	4	provides	provide	VERB
bibechana-57736	153	5	the	the	DET
bibechana-57736	153	6	tools	tool	NOUN
bibechana-57736	153	7	for	for	ADP
bibechana-57736	153	8	building	building	NOUN
bibechana-57736	153	9	and	and	CCONJ
bibechana-57736	153	10	running	run	VERB
bibechana-57736	153	11	the	the	DET
bibechana-57736	153	12	models	model	NOUN
bibechana-57736	153	13	.	.	PUNCT
bibechana-57736	154	1	the	the	DET
bibechana-57736	154	2	model	model	NOUN
bibechana-57736	154	3	is	be	AUX
bibechana-57736	154	4	then	then	ADV
bibechana-57736	154	5	compiled	compile	VERB
bibechana-57736	154	6	by	by	ADP
bibechana-57736	154	7	configuring	configure	VERB
bibechana-57736	154	8	key	key	ADJ
bibechana-57736	154	9	hyperparameters	hyperparameter	NOUN
bibechana-57736	154	10	like	like	ADP
bibechana-57736	154	11	optimization	optimization	NOUN
bibechana-57736	154	12	algorithm	algorithm	NOUN
bibechana-57736	154	13	,	,	PUNCT
bibechana-57736	154	14	loss	loss	NOUN
bibechana-57736	154	15	function	function	NOUN
bibechana-57736	154	16	and	and	CCONJ
bibechana-57736	154	17	metrics	metric	NOUN
bibechana-57736	154	18	for	for	ADP
bibechana-57736	154	19	training	training	NOUN
bibechana-57736	154	20	.	.	PUNCT
bibechana-57736	155	1	this	this	PRON
bibechana-57736	155	2	sets	set	VERB
bibechana-57736	155	3	up	up	ADP
bibechana-57736	155	4	the	the	DET
bibechana-57736	155	5	model	model	NOUN
bibechana-57736	155	6	for	for	ADP
bibechana-57736	155	7	the	the	DET
bibechana-57736	155	8	training	training	NOUN
bibechana-57736	155	9	process	process	NOUN
bibechana-57736	155	10	.	.	PUNCT
bibechana-57736	156	1	the	the	DET
bibechana-57736	156	2	next	next	ADJ
bibechana-57736	156	3	step	step	NOUN
bibechana-57736	156	4	is	be	AUX
bibechana-57736	156	5	to	to	PART
bibechana-57736	156	6	fit	fit	VERB
bibechana-57736	156	7	the	the	DET
bibechana-57736	156	8	compiled	compile	VERB
bibechana-57736	156	9	model	model	NOUN
bibechana-57736	156	10	on	on	ADP
bibechana-57736	156	11	the	the	DET
bibechana-57736	156	12	training	training	NOUN
bibechana-57736	156	13	data	datum	NOUN
bibechana-57736	156	14	for	for	ADP
bibechana-57736	156	15	multiple	multiple	ADJ
bibechana-57736	156	16	epochs	epoch	NOUN
bibechana-57736	156	17	,	,	PUNCT
bibechana-57736	156	18	which	which	PRON
bibechana-57736	156	19	trains	train	VERB
bibechana-57736	156	20	the	the	DET
bibechana-57736	156	21	model	model	NOUN
bibechana-57736	156	22	by	by	ADP
bibechana-57736	156	23	minimizpujan	minimizpujan	PROPN
bibechana-57736	156	24	bashyal	bashyal	PROPN
bibechana-57736	156	25	et	et	PROPN
bibechana-57736	156	26	al./	al./	ADV
bibechana-57736	156	27	bibechana	bibechana	PROPN
bibechana-57736	156	28	20	20	NUM
bibechana-57736	156	29	(	(	PUNCT
bibechana-57736	156	30	2023	2023	NUM
bibechana-57736	156	31	)	)	PUNCT
bibechana-57736	156	32	248	248	NUM
bibechana-57736	156	33	-	-	SYM
bibechana-57736	156	34	258	258	NUM
bibechana-57736	156	35	253	253	NUM
bibechana-57736	156	36	figure	figure	NOUN
bibechana-57736	156	37	3	3	NUM
bibechana-57736	156	38	:	:	PUNCT
bibechana-57736	156	39	lstm	lstm	ADJ
bibechana-57736	156	40	input	input	NOUN
bibechana-57736	156	41	outputs	output	NOUN
bibechana-57736	156	42	and	and	CCONJ
bibechana-57736	156	43	the	the	DET
bibechana-57736	156	44	corresponding	corresponding	ADJ
bibechana-57736	156	45	equations	equation	NOUN
bibechana-57736	156	46	for	for	ADP
bibechana-57736	156	47	a	a	DET
bibechana-57736	156	48	single	single	ADJ
bibechana-57736	156	49	timestep	timestep	NOUN
bibechana-57736	156	50	.	.	PUNCT
bibechana-57736	157	1	ing	e	VERB
bibechana-57736	157	2	the	the	DET
bibechana-57736	157	3	specified	specified	ADJ
bibechana-57736	157	4	loss	loss	NOUN
bibechana-57736	157	5	function	function	NOUN
bibechana-57736	157	6	.	.	PUNCT
bibechana-57736	158	1	finally	finally	ADV
bibechana-57736	158	2	,	,	PUNCT
bibechana-57736	158	3	the	the	DET
bibechana-57736	158	4	trained	train	VERB
bibechana-57736	158	5	model	model	NOUN
bibechana-57736	158	6	can	can	AUX
bibechana-57736	158	7	be	be	AUX
bibechana-57736	158	8	used	use	VERB
bibechana-57736	158	9	to	to	PART
bibechana-57736	158	10	generate	generate	VERB
bibechana-57736	158	11	predictions	prediction	NOUN
bibechana-57736	158	12	on	on	ADP
bibechana-57736	158	13	new	new	ADJ
bibechana-57736	158	14	validation	validation	NOUN
bibechana-57736	158	15	/	/	SYM
bibechana-57736	158	16	test	test	NOUN
bibechana-57736	158	17	data	datum	NOUN
bibechana-57736	158	18	,	,	PUNCT
bibechana-57736	158	19	and	and	CCONJ
bibechana-57736	158	20	its	its	PRON
bibechana-57736	158	21	performance	performance	NOUN
bibechana-57736	158	22	evaluated	evaluate	VERB
bibechana-57736	158	23	using	use	VERB
bibechana-57736	158	24	metrics	metric	NOUN
bibechana-57736	158	25	like	like	ADP
bibechana-57736	158	26	accuracy	accuracy	NOUN
bibechana-57736	158	27	and	and	CCONJ
bibechana-57736	158	28	loss	loss	NOUN
bibechana-57736	158	29	scores	score	NOUN
bibechana-57736	158	30	.	.	PUNCT
bibechana-57736	159	1	in	in	ADP
bibechana-57736	159	2	summary	summary	NOUN
bibechana-57736	159	3	,	,	PUNCT
bibechana-57736	159	4	the	the	DET
bibechana-57736	159	5	methodology	methodology	NOUN
bibechana-57736	159	6	involves	involve	VERB
bibechana-57736	159	7	data	datum	NOUN
bibechana-57736	159	8	preprocessing	preprocessing	NOUN
bibechana-57736	159	9	,	,	PUNCT
bibechana-57736	159	10	model	model	NOUN
bibechana-57736	159	11	building	building	NOUN
bibechana-57736	159	12	,	,	PUNCT
bibechana-57736	159	13	training	training	NOUN
bibechana-57736	159	14	and	and	CCONJ
bibechana-57736	159	15	prediction	prediction	NOUN
bibechana-57736	159	16	to	to	PART
bibechana-57736	159	17	develop	develop	VERB
bibechana-57736	159	18	a	a	DET
bibechana-57736	159	19	machine	machine	NOUN
bibechana-57736	159	20	learning	learn	VERB
bibechana-57736	159	21	model	model	NOUN
bibechana-57736	159	22	for	for	ADP
bibechana-57736	159	23	water	water	NOUN
bibechana-57736	159	24	quality	quality	NOUN
bibechana-57736	159	25	forecasting	forecasting	NOUN
bibechana-57736	159	26	.	.	PUNCT
bibechana-57736	160	1	the	the	DET
bibechana-57736	160	2	lstm	lstm	ADJ
bibechana-57736	160	3	architecture	architecture	NOUN
bibechana-57736	160	4	consists	consist	VERB
bibechana-57736	160	5	of	of	ADP
bibechana-57736	160	6	an	an	DET
bibechana-57736	160	7	input	input	NOUN
bibechana-57736	160	8	layer	layer	NOUN
bibechana-57736	160	9	that	that	PRON
bibechana-57736	160	10	accepts	accept	VERB
bibechana-57736	160	11	sequences	sequence	NOUN
bibechana-57736	160	12	of	of	ADP
bibechana-57736	160	13	10	10	NUM
bibechana-57736	160	14	-	-	PUNCT
bibechana-57736	160	15	time	time	NOUN
bibechana-57736	160	16	-steps	-step	NOUN
bibechana-57736	160	17	,	,	PUNCT
bibechana-57736	160	18	with	with	ADP
bibechana-57736	160	19	each	each	DET
bibechana-57736	160	20	step	step	NOUN
bibechana-57736	160	21	containing	contain	VERB
bibechana-57736	160	22	9	9	NUM
bibechana-57736	160	23	input	input	NOUN
bibechana-57736	160	24	features	feature	NOUN
bibechana-57736	160	25	.	.	PUNCT
bibechana-57736	161	1	this	this	DET
bibechana-57736	161	2	input	input	NOUN
bibechana-57736	161	3	layer	layer	NOUN
bibechana-57736	161	4	is	be	AUX
bibechana-57736	161	5	connected	connect	VERB
bibechana-57736	161	6	to	to	ADP
bibechana-57736	161	7	an	an	DET
bibechana-57736	161	8	encoder	encoder	NOUN
bibechana-57736	161	9	layer	layer	NOUN
bibechana-57736	161	10	comprised	comprise	VERB
bibechana-57736	161	11	of	of	ADP
bibechana-57736	161	12	100	100	NUM
bibechana-57736	161	13	lstm	lstm	ADJ
bibechana-57736	161	14	units	unit	NOUN
bibechana-57736	161	15	.	.	PUNCT
bibechana-57736	162	1	the	the	DET
bibechana-57736	162	2	encoder	encoder	NOUN
bibechana-57736	162	3	processes	process	VERB
bibechana-57736	162	4	the	the	DET
bibechana-57736	162	5	input	input	NOUN
bibechana-57736	162	6	sequence	sequence	NOUN
bibechana-57736	162	7	and	and	CCONJ
bibechana-57736	162	8	outputs	output	NOUN
bibechana-57736	162	9	an	an	DET
bibechana-57736	162	10	encoded	encode	VERB
bibechana-57736	162	11	sequence	sequence	NOUN
bibechana-57736	162	12	.	.	PUNCT
bibechana-57736	163	1	the	the	DET
bibechana-57736	163	2	encoded	encode	VERB
bibechana-57736	163	3	sequence	sequence	NOUN
bibechana-57736	163	4	is	be	AUX
bibechana-57736	163	5	then	then	ADV
bibechana-57736	163	6	fed	feed	VERB
bibechana-57736	163	7	into	into	ADP
bibechana-57736	163	8	a	a	DET
bibechana-57736	163	9	decoder	decoder	NOUN
bibechana-57736	163	10	layer	layer	NOUN
bibechana-57736	163	11	,	,	PUNCT
bibechana-57736	163	12	also	also	ADV
bibechana-57736	163	13	containing	contain	VERB
bibechana-57736	163	14	100	100	NUM
bibechana-57736	163	15	lstm	lstm	ADJ
bibechana-57736	163	16	units	unit	NOUN
bibechana-57736	163	17	.	.	PUNCT
bibechana-57736	164	1	additionally	additionally	ADV
bibechana-57736	164	2	,	,	PUNCT
bibechana-57736	164	3	a	a	DET
bibechana-57736	164	4	repeat	repeat	NOUN
bibechana-57736	164	5	vector	vector	NOUN
bibechana-57736	164	6	summarizes	summarize	NOUN
bibechana-57736	164	7	the	the	DET
bibechana-57736	164	8	entire	entire	ADJ
bibechana-57736	164	9	input	input	NOUN
bibechana-57736	164	10	sequence	sequence	NOUN
bibechana-57736	164	11	from	from	ADP
bibechana-57736	164	12	the	the	DET
bibechana-57736	164	13	encoder	encoder	NOUN
bibechana-57736	164	14	’s	’s	PART
bibechana-57736	164	15	final	final	ADJ
bibechana-57736	164	16	output	output	NOUN
bibechana-57736	164	17	and	and	CCONJ
bibechana-57736	164	18	provides	provide	VERB
bibechana-57736	164	19	this	this	DET
bibechana-57736	164	20	context	context	NOUN
bibechana-57736	164	21	to	to	ADP
bibechana-57736	164	22	the	the	DET
bibechana-57736	164	23	decoder	decoder	NOUN
bibechana-57736	164	24	at	at	ADP
bibechana-57736	164	25	each	each	DET
bibechana-57736	164	26	time	time	NOUN
bibechana-57736	164	27	step	step	NOUN
bibechana-57736	164	28	.	.	PUNCT
bibechana-57736	165	1	finally	finally	ADV
bibechana-57736	165	2	,	,	PUNCT
bibechana-57736	165	3	a	a	DET
bibechana-57736	165	4	dense	dense	ADJ
bibechana-57736	165	5	output	output	NOUN
bibechana-57736	165	6	layer	layer	NOUN
bibechana-57736	165	7	separates	separate	VERB
bibechana-57736	165	8	the	the	DET
bibechana-57736	165	9	decoder	decoder	NOUN
bibechana-57736	165	10	outputs	output	NOUN
bibechana-57736	165	11	into	into	ADP
bibechana-57736	165	12	distinct	distinct	ADJ
bibechana-57736	165	13	predictions	prediction	NOUN
bibechana-57736	165	14	for	for	ADP
bibechana-57736	165	15	each	each	DET
bibechana-57736	165	16	water	water	NOUN
bibechana-57736	165	17	quality	quality	NOUN
bibechana-57736	165	18	parameter	parameter	NOUN
bibechana-57736	165	19	.	.	PUNCT
bibechana-57736	166	1	the	the	DET
bibechana-57736	166	2	model	model	NOUN
bibechana-57736	166	3	optimizes	optimize	VERB
bibechana-57736	166	4	using	use	VERB
bibechana-57736	166	5	the	the	DET
bibechana-57736	166	6	adam	adam	PROPN
bibechana-57736	166	7	algorithm	algorithm	NOUN
bibechana-57736	166	8	combined	combine	VERB
bibechana-57736	166	9	with	with	ADP
bibechana-57736	166	10	a	a	DET
bibechana-57736	166	11	huber	huber	PROPN
bibechana-57736	166	12	loss	loss	NOUN
bibechana-57736	166	13	function	function	NOUN
bibechana-57736	166	14	.	.	PUNCT
bibechana-57736	167	1	the	the	DET
bibechana-57736	167	2	huber	huber	PROPN
bibechana-57736	167	3	loss	loss	NOUN
bibechana-57736	167	4	provides	provide	VERB
bibechana-57736	167	5	the	the	DET
bibechana-57736	167	6	benefits	benefit	NOUN
bibechana-57736	167	7	of	of	ADP
bibechana-57736	167	8	lower	low	ADJ
bibechana-57736	167	9	sensitivity	sensitivity	NOUN
bibechana-57736	167	10	to	to	ADP
bibechana-57736	167	11	outliers	outlier	NOUN
bibechana-57736	167	12	compared	compare	VERB
bibechana-57736	167	13	to	to	ADP
bibechana-57736	167	14	mse	mse	NOUN
bibechana-57736	167	15	and	and	CCONJ
bibechana-57736	167	16	lower	low	ADJ
bibechana-57736	167	17	bias	bias	NOUN
bibechana-57736	167	18	than	than	ADP
bibechana-57736	167	19	mae	mae	PROPN
bibechana-57736	167	20	,	,	PUNCT
bibechana-57736	167	21	as	as	SCONJ
bibechana-57736	167	22	suggested	suggest	VERB
bibechana-57736	167	23	in	in	ADP
bibechana-57736	167	24	prior	prior	ADJ
bibechana-57736	167	25	studies	study	NOUN
bibechana-57736	167	26	.	.	PUNCT
bibechana-57736	168	1	this	this	DET
bibechana-57736	168	2	lstm	lstm	ADJ
bibechana-57736	168	3	model	model	NOUN
bibechana-57736	168	4	architecture	architecture	NOUN
bibechana-57736	168	5	enables	enable	VERB
bibechana-57736	168	6	effective	effective	ADJ
bibechana-57736	168	7	learning	learning	NOUN
bibechana-57736	168	8	of	of	ADP
bibechana-57736	168	9	complex	complex	ADJ
bibechana-57736	168	10	temporal	temporal	ADJ
bibechana-57736	168	11	relationships	relationship	NOUN
bibechana-57736	168	12	and	and	CCONJ
bibechana-57736	168	13	patterns	pattern	NOUN
bibechana-57736	168	14	in	in	ADP
bibechana-57736	168	15	the	the	DET
bibechana-57736	168	16	water	water	NOUN
bibechana-57736	168	17	quality	quality	NOUN
bibechana-57736	168	18	time	time	PROPN
bibechana-57736	168	19	series	series	PROPN
bibechana-57736	168	20	data	data	PROPN
bibechana-57736	168	21	.	.	PUNCT
bibechana-57736	169	1	figure	figure	VERB
bibechana-57736	169	2	4	4	NUM
bibechana-57736	169	3	:	:	PUNCT
bibechana-57736	169	4	steps	step	NOUN
bibechana-57736	169	5	for	for	ADP
bibechana-57736	169	6	implementation	implementation	NOUN
bibechana-57736	169	7	lstm	lstm	PROPN
bibechana-57736	169	8	model	model	NOUN
bibechana-57736	169	9	.	.	PUNCT
bibechana-57736	170	1	figure	figure	VERB
bibechana-57736	170	2	5	5	NUM
bibechana-57736	170	3	:	:	PUNCT
bibechana-57736	170	4	steps	step	NOUN
bibechana-57736	170	5	for	for	ADP
bibechana-57736	170	6	implementation	implementation	NOUN
bibechana-57736	170	7	dnn	dnn	PROPN
bibechana-57736	170	8	model	model	PROPN
bibechana-57736	170	9	.	.	PUNCT
bibechana-57736	171	1	pujan	pujan	PROPN
bibechana-57736	171	2	bashyal	bashyal	PROPN
bibechana-57736	171	3	et	et	PROPN
bibechana-57736	171	4	al./	al./	ADV
bibechana-57736	171	5	bibechana	bibechana	PROPN
bibechana-57736	171	6	20	20	NUM
bibechana-57736	171	7	(	(	PUNCT
bibechana-57736	171	8	2023	2023	NUM
bibechana-57736	171	9	)	)	PUNCT
bibechana-57736	171	10	248	248	NUM
bibechana-57736	171	11	-	-	SYM
bibechana-57736	171	12	258	258	NUM
bibechana-57736	171	13	254	254	NUM
bibechana-57736	171	14	3.6	3.6	NUM
bibechana-57736	171	15	dnn	dnn	PROPN
bibechana-57736	171	16	model	model	NOUN
bibechana-57736	171	17	training	training	NOUN
bibechana-57736	171	18	models	model	NOUN
bibechana-57736	171	19	were	be	AUX
bibechana-57736	171	20	trained	train	VERB
bibechana-57736	171	21	using	using	NOUN
bibechana-57736	171	22	time	time	NOUN
bibechana-57736	171	23	series	series	PROPN
bibechana-57736	171	24	cross	cross	NOUN
bibechana-57736	171	25	-	-	NOUN
bibechana-57736	171	26	validation	validation	NOUN
bibechana-57736	171	27	with	with	ADP
bibechana-57736	171	28	an	an	DET
bibechana-57736	171	29	80	80	NUM
bibechana-57736	171	30	-	-	SYM
bibechana-57736	171	31	20	20	NUM
bibechana-57736	171	32	train	train	NOUN
bibechana-57736	171	33	-	-	PUNCT
bibechana-57736	171	34	test	test	NOUN
bibechana-57736	171	35	split	split	NOUN
bibechana-57736	171	36	.	.	PUNCT
bibechana-57736	172	1	model	model	NOUN
bibechana-57736	172	2	parameters	parameter	NOUN
bibechana-57736	172	3	were	be	AUX
bibechana-57736	172	4	tuned	tune	VERB
bibechana-57736	172	5	to	to	PART
bibechana-57736	172	6	optimize	optimize	VERB
bibechana-57736	172	7	performance	performance	NOUN
bibechana-57736	172	8	.	.	PUNCT
bibechana-57736	173	1	techniques	technique	NOUN
bibechana-57736	173	2	like	like	ADP
bibechana-57736	173	3	backpropagation	backpropagation	NOUN
bibechana-57736	173	4	and	and	CCONJ
bibechana-57736	173	5	optimization	optimization	NOUN
bibechana-57736	173	6	algorithms	algorithm	NOUN
bibechana-57736	173	7	like	like	ADP
bibechana-57736	173	8	adam	adam	PROPN
bibechana-57736	173	9	were	be	AUX
bibechana-57736	173	10	used	use	VERB
bibechana-57736	173	11	to	to	PART
bibechana-57736	173	12	minimize	minimize	VERB
bibechana-57736	173	13	error	error	NOUN
bibechana-57736	173	14	and	and	CCONJ
bibechana-57736	173	15	improve	improve	VERB
bibechana-57736	173	16	model	model	NOUN
bibechana-57736	173	17	accuracy	accuracy	NOUN
bibechana-57736	173	18	.	.	PUNCT
bibechana-57736	174	1	model	model	NOUN
bibechana-57736	174	2	performance	performance	NOUN
bibechana-57736	174	3	was	be	AUX
bibechana-57736	174	4	evaluated	evaluate	VERB
bibechana-57736	174	5	using	use	VERB
bibechana-57736	174	6	metrics	metric	NOUN
bibechana-57736	174	7	like	like	ADP
bibechana-57736	174	8	mse	mse	PROPN
bibechana-57736	174	9	,	,	PUNCT
bibechana-57736	174	10	mae	mae	PROPN
bibechana-57736	174	11	,	,	PUNCT
bibechana-57736	174	12	aic	aic	PROPN
bibechana-57736	174	13	and	and	CCONJ
bibechana-57736	174	14	bic	bic	PROPN
bibechana-57736	174	15	.	.	PROPN
bibechana-57736	175	1	4	4	NUM
bibechana-57736	175	2	results	result	NOUN
bibechana-57736	175	3	and	and	CCONJ
bibechana-57736	175	4	discussion	discussion	VERB
bibechana-57736	175	5	the	the	DET
bibechana-57736	175	6	results	result	NOUN
bibechana-57736	175	7	of	of	ADP
bibechana-57736	175	8	the	the	DET
bibechana-57736	175	9	arima	arima	PROPN
bibechana-57736	175	10	and	and	CCONJ
bibechana-57736	175	11	lstm	lstm	NOUN
bibechana-57736	175	12	models	model	NOUN
bibechana-57736	175	13	for	for	ADP
bibechana-57736	175	14	the	the	DET
bibechana-57736	175	15	prediction	prediction	NOUN
bibechana-57736	175	16	of	of	ADP
bibechana-57736	175	17	water	water	NOUN
bibechana-57736	175	18	quality	quality	NOUN
bibechana-57736	175	19	parameters	parameter	NOUN
bibechana-57736	175	20	are	be	AUX
bibechana-57736	175	21	summarized	summarize	VERB
bibechana-57736	175	22	below	below	ADP
bibechana-57736	175	23	:	:	PUNCT
bibechana-57736	175	24	table	table	NOUN
bibechana-57736	175	25	2	2	NUM
bibechana-57736	175	26	:	:	PUNCT
bibechana-57736	175	27	measured	measure	VERB
bibechana-57736	175	28	and	and	CCONJ
bibechana-57736	175	29	predicted	predict	VERB
bibechana-57736	175	30	values	value	NOUN
bibechana-57736	175	31	for	for	ADP
bibechana-57736	175	32	parameters	parameter	NOUN
bibechana-57736	175	33	at	at	ADP
bibechana-57736	175	34	the	the	DET
bibechana-57736	175	35	two	two	NUM
bibechana-57736	175	36	nearest	near	ADJ
bibechana-57736	175	37	locations	location	NOUN
bibechana-57736	175	38	parameter	parameter	NOUN
bibechana-57736	175	39	measured	measure	VERB
bibechana-57736	175	40	value	value	NOUN
bibechana-57736	175	41	(	(	PUNCT
bibechana-57736	175	42	blue	blue	ADJ
bibechana-57736	175	43	dot	dot	NOUN
bibechana-57736	175	44	)	)	PUNCT
bibechana-57736	175	45	predicted	predict	VERB
bibechana-57736	175	46	value	value	NOUN
bibechana-57736	175	47	(	(	PUNCT
bibechana-57736	175	48	red	red	ADJ
bibechana-57736	175	49	dot	dot	NOUN
bibechana-57736	175	50	)	)	PUNCT
bibechana-57736	175	51	do	do	VERB
bibechana-57736	175	52	0	0	NUM
bibechana-57736	175	53	0.259856	0.259856	NUM
bibechana-57736	175	54	ph	ph	ADJ
bibechana-57736	175	55	7.29	7.29	NUM
bibechana-57736	175	56	7.202224	7.202224	NUM
bibechana-57736	175	57	temperature	temperature	NOUN
bibechana-57736	175	58	21.64	21.64	NUM
bibechana-57736	175	59	21.34662	21.34662	NUM
bibechana-57736	175	60	orp	orp	PROPN
bibechana-57736	175	61	-254.6	-254.6	PROPN
bibechana-57736	175	62	-259.856	-259.856	PROPN
bibechana-57736	175	63	figure	figure	NOUN
bibechana-57736	175	64	6	6	NUM
bibechana-57736	175	65	:	:	PUNCT
bibechana-57736	175	66	plot	plot	NOUN
bibechana-57736	175	67	of	of	ADP
bibechana-57736	175	68	do	do	AUX
bibechana-57736	175	69	values	value	NOUN
bibechana-57736	175	70	collected	collect	VERB
bibechana-57736	175	71	with	with	ADP
bibechana-57736	175	72	mobile	mobile	ADJ
bibechana-57736	175	73	sensor	sensor	NOUN
bibechana-57736	175	74	along	along	ADP
bibechana-57736	175	75	the	the	DET
bibechana-57736	175	76	river	river	NOUN
bibechana-57736	175	77	.	.	PUNCT
bibechana-57736	176	1	figure	figure	VERB
bibechana-57736	176	2	7	7	NUM
bibechana-57736	176	3	:	:	PUNCT
bibechana-57736	176	4	prediction	prediction	NOUN
bibechana-57736	176	5	curve	curve	NOUN
bibechana-57736	176	6	:	:	PUNCT
bibechana-57736	176	7	actual	actual	ADJ
bibechana-57736	176	8	values	value	NOUN
bibechana-57736	176	9	vs	vs	ADP
bibechana-57736	176	10	predicted	predict	VERB
bibechana-57736	176	11	values	value	NOUN
bibechana-57736	176	12	of	of	ADP
bibechana-57736	176	13	do	do	PROPN
bibechana-57736	176	14	(	(	PUNCT
bibechana-57736	176	15	arima	arima	PROPN
bibechana-57736	176	16	)	)	PUNCT
bibechana-57736	176	17	.	.	PUNCT
bibechana-57736	177	1	figure	figure	VERB
bibechana-57736	177	2	8	8	NUM
bibechana-57736	177	3	:	:	PUNCT
bibechana-57736	177	4	prediction	prediction	NOUN
bibechana-57736	177	5	curve	curve	NOUN
bibechana-57736	177	6	:	:	PUNCT
bibechana-57736	177	7	actual	actual	ADJ
bibechana-57736	177	8	values	value	NOUN
bibechana-57736	177	9	vs	vs	ADP
bibechana-57736	177	10	predicted	predict	VERB
bibechana-57736	177	11	values	value	NOUN
bibechana-57736	177	12	of	of	ADP
bibechana-57736	177	13	ph	ph	PROPN
bibechana-57736	177	14	(	(	PUNCT
bibechana-57736	177	15	arima	arima	PROPN
bibechana-57736	177	16	)	)	PUNCT
bibechana-57736	177	17	.	.	PUNCT
bibechana-57736	178	1	pujan	pujan	PROPN
bibechana-57736	178	2	bashyal	bashyal	PROPN
bibechana-57736	178	3	et	et	PROPN
bibechana-57736	178	4	al./	al./	ADV
bibechana-57736	178	5	bibechana	bibechana	PROPN
bibechana-57736	178	6	20	20	NUM
bibechana-57736	178	7	(	(	PUNCT
bibechana-57736	178	8	2023	2023	NUM
bibechana-57736	178	9	)	)	PUNCT
bibechana-57736	178	10	248	248	NUM
bibechana-57736	178	11	-	-	SYM
bibechana-57736	178	12	258	258	NUM
bibechana-57736	178	13	255	255	NUM
bibechana-57736	178	14	figure	figure	NOUN
bibechana-57736	178	15	9	9	NUM
bibechana-57736	178	16	:	:	PUNCT
bibechana-57736	178	17	prediction	prediction	NOUN
bibechana-57736	178	18	curve	curve	NOUN
bibechana-57736	178	19	:	:	PUNCT
bibechana-57736	178	20	actual	actual	ADJ
bibechana-57736	178	21	values	value	NOUN
bibechana-57736	178	22	vs	vs	ADP
bibechana-57736	178	23	predicted	predict	VERB
bibechana-57736	178	24	values	value	NOUN
bibechana-57736	178	25	of	of	ADP
bibechana-57736	178	26	do	do	AUX
bibechana-57736	178	27	(	(	PUNCT
bibechana-57736	178	28	lstm	lstm	PROPN
bibechana-57736	178	29	)	)	PUNCT
bibechana-57736	178	30	.	.	PUNCT
bibechana-57736	179	1	figure	figure	VERB
bibechana-57736	179	2	10	10	NUM
bibechana-57736	179	3	:	:	PUNCT
bibechana-57736	179	4	prediction	prediction	NOUN
bibechana-57736	179	5	curve	curve	NOUN
bibechana-57736	179	6	:	:	PUNCT
bibechana-57736	179	7	actual	actual	ADJ
bibechana-57736	179	8	values	value	NOUN
bibechana-57736	179	9	vs	vs	ADP
bibechana-57736	179	10	predicted	predict	VERB
bibechana-57736	179	11	values	value	NOUN
bibechana-57736	179	12	of	of	ADP
bibechana-57736	179	13	ph	ph	NOUN
bibechana-57736	179	14	(	(	PUNCT
bibechana-57736	179	15	lstm	lstm	NOUN
bibechana-57736	179	16	)	)	PUNCT
bibechana-57736	179	17	.	.	PUNCT
bibechana-57736	180	1	figure	figure	VERB
bibechana-57736	180	2	11	11	NUM
bibechana-57736	180	3	:	:	PUNCT
bibechana-57736	180	4	epoch	epoch	PROPN
bibechana-57736	180	5	wise	wise	ADJ
bibechana-57736	180	6	loss	loss	NOUN
bibechana-57736	180	7	plot	plot	NOUN
bibechana-57736	180	8	for	for	ADP
bibechana-57736	180	9	e1d1	e1d1	NOUN
bibechana-57736	180	10	lstm	lstm	NOUN
bibechana-57736	180	11	.	.	PUNCT
bibechana-57736	181	1	figure	figure	NOUN
bibechana-57736	181	2	12	12	NUM
bibechana-57736	181	3	:	:	PUNCT
bibechana-57736	181	4	epoch	epoch	NOUN
bibechana-57736	181	5	-	-	PUNCT
bibechana-57736	181	6	wise	wise	ADJ
bibechana-57736	181	7	mae	mae	PROPN
bibechana-57736	181	8	curve	curve	NOUN
bibechana-57736	181	9	for	for	ADP
bibechana-57736	181	10	e1d1	e1d1	NOUN
bibechana-57736	181	11	lstm	lstm	NOUN
bibechana-57736	181	12	.	.	PUNCT
bibechana-57736	182	1	figure	figure	VERB
bibechana-57736	182	2	13	13	NUM
bibechana-57736	182	3	:	:	PUNCT
bibechana-57736	182	4	epoch	epoch	NOUN
bibechana-57736	182	5	-	-	PUNCT
bibechana-57736	182	6	wise	wise	ADJ
bibechana-57736	182	7	loss	loss	NOUN
bibechana-57736	182	8	curve	curve	NOUN
bibechana-57736	182	9	for	for	ADP
bibechana-57736	182	10	dnn	dnn	PROPN
bibechana-57736	182	11	model	model	NOUN
bibechana-57736	182	12	at	at	ADP
bibechana-57736	182	13	80	80	NUM
bibechana-57736	182	14	:	:	SYM
bibechana-57736	182	15	20	20	NUM
bibechana-57736	182	16	validation	validation	NOUN
bibechana-57736	182	17	split	split	NOUN
bibechana-57736	182	18	.	.	PUNCT
bibechana-57736	183	1	figure	figure	NOUN
bibechana-57736	183	2	14	14	NUM
bibechana-57736	183	3	:	:	PUNCT
bibechana-57736	183	4	epoch	epoch	NOUN
bibechana-57736	183	5	-	-	PUNCT
bibechana-57736	183	6	wise	wise	ADJ
bibechana-57736	183	7	loss	loss	NOUN
bibechana-57736	183	8	curve	curve	NOUN
bibechana-57736	183	9	for	for	ADP
bibechana-57736	183	10	dnn	dnn	PROPN
bibechana-57736	183	11	model	model	NOUN
bibechana-57736	183	12	at	at	ADP
bibechana-57736	183	13	70	70	NUM
bibechana-57736	183	14	:	:	SYM
bibechana-57736	183	15	30	30	NUM
bibechana-57736	183	16	validation	validation	NOUN
bibechana-57736	183	17	split	split	NOUN
bibechana-57736	183	18	.	.	PUNCT
bibechana-57736	184	1	4.1	4.1	NUM
bibechana-57736	184	2	arima	arima	PROPN
bibechana-57736	184	3	model	model	NOUN
bibechana-57736	184	4	the	the	DET
bibechana-57736	184	5	arima	arima	PROPN
bibechana-57736	184	6	time	time	NOUN
bibechana-57736	184	7	series	series	PROPN
bibechana-57736	184	8	modeling	modeling	NOUN
bibechana-57736	184	9	approach	approach	NOUN
bibechana-57736	184	10	was	be	AUX
bibechana-57736	184	11	able	able	ADJ
bibechana-57736	184	12	to	to	PART
bibechana-57736	184	13	effectively	effectively	ADV
bibechana-57736	184	14	capture	capture	VERB
bibechana-57736	184	15	the	the	DET
bibechana-57736	184	16	temporal	temporal	ADJ
bibechana-57736	184	17	dynamics	dynamic	NOUN
bibechana-57736	184	18	in	in	ADP
bibechana-57736	184	19	the	the	DET
bibechana-57736	184	20	water	water	NOUN
bibechana-57736	184	21	quality	quality	NOUN
bibechana-57736	184	22	parameters	parameter	NOUN
bibechana-57736	184	23	.	.	PUNCT
bibechana-57736	185	1	for	for	ADP
bibechana-57736	185	2	dissolved	dissolve	VERB
bibechana-57736	185	3	oxygen	oxygen	NOUN
bibechana-57736	185	4	(	(	PUNCT
bibechana-57736	185	5	do	do	NOUN
bibechana-57736	185	6	)	)	PUNCT
bibechana-57736	185	7	,	,	PUNCT
bibechana-57736	185	8	the	the	DET
bibechana-57736	185	9	model	model	NOUN
bibechana-57736	185	10	achieved	achieve	VERB
bibechana-57736	185	11	an	an	DET
bibechana-57736	185	12	rmse	rmse	NOUN
bibechana-57736	185	13	of	of	ADP
bibechana-57736	185	14	0.519	0.519	NUM
bibechana-57736	185	15	,	,	PUNCT
bibechana-57736	185	16	mae	mae	PROPN
bibechana-57736	185	17	of	of	ADP
bibechana-57736	185	18	0.2901	0.2901	NUM
bibechana-57736	185	19	and	and	CCONJ
bibechana-57736	185	20	r2	r2	NOUN
bibechana-57736	185	21	of	of	ADP
bibechana-57736	185	22	0.9760	0.9760	NUM
bibechana-57736	185	23	on	on	ADP
bibechana-57736	185	24	the	the	DET
bibechana-57736	185	25	test	test	NOUN
bibechana-57736	185	26	set	set	NOUN
bibechana-57736	185	27	,	,	PUNCT
bibechana-57736	185	28	indicating	indicate	VERB
bibechana-57736	185	29	a	a	DET
bibechana-57736	185	30	good	good	ADJ
bibechana-57736	185	31	model	model	NOUN
bibechana-57736	185	32	fit	fit	ADJ
bibechana-57736	185	33	with	with	ADP
bibechana-57736	185	34	minimal	minimal	ADJ
bibechana-57736	185	35	errors	error	NOUN
bibechana-57736	185	36	.	.	PUNCT
bibechana-57736	186	1	the	the	DET
bibechana-57736	186	2	residuals	residual	NOUN
bibechana-57736	186	3	plot	plot	NOUN
bibechana-57736	186	4	showed	show	VERB
bibechana-57736	186	5	that	that	SCONJ
bibechana-57736	186	6	most	most	ADJ
bibechana-57736	186	7	residuals	residual	NOUN
bibechana-57736	186	8	were	be	AUX
bibechana-57736	186	9	clustered	cluster	VERB
bibechana-57736	186	10	close	close	ADV
bibechana-57736	186	11	to	to	ADP
bibechana-57736	186	12	zero	zero	NUM
bibechana-57736	186	13	,	,	PUNCT
bibechana-57736	186	14	signifying	signify	VERB
bibechana-57736	186	15	that	that	SCONJ
bibechana-57736	186	16	the	the	DET
bibechana-57736	186	17	actual	actual	ADJ
bibechana-57736	186	18	values	value	NOUN
bibechana-57736	186	19	were	be	AUX
bibechana-57736	186	20	close	close	ADJ
bibechana-57736	186	21	to	to	ADP
bibechana-57736	186	22	the	the	DET
bibechana-57736	186	23	predicted	predict	VERB
bibechana-57736	186	24	values	value	NOUN
bibechana-57736	186	25	.	.	PUNCT
bibechana-57736	187	1	the	the	DET
bibechana-57736	187	2	model	model	NOUN
bibechana-57736	187	3	was	be	AUX
bibechana-57736	187	4	able	able	ADJ
bibechana-57736	187	5	to	to	PART
bibechana-57736	187	6	forecast	forecast	VERB
bibechana-57736	187	7	do	do	VERB
bibechana-57736	187	8	levels	level	NOUN
bibechana-57736	187	9	reasonably	reasonably	ADV
bibechana-57736	187	10	accurately	accurately	ADV
bibechana-57736	187	11	up	up	ADP
bibechana-57736	187	12	to	to	PART
bibechana-57736	187	13	5	5	NUM
bibechana-57736	187	14	-	-	PUNCT
bibechana-57736	187	15	time	time	NOUN
bibechana-57736	187	16	-	-	PUNCT
bibechana-57736	187	17	steps	step	NOUN
bibechana-57736	187	18	ahead	ahead	ADV
bibechana-57736	187	19	,	,	PUNCT
bibechana-57736	187	20	with	with	ADP
bibechana-57736	187	21	errors	error	NOUN
bibechana-57736	187	22	increasing	increase	VERB
bibechana-57736	187	23	slightly	slightly	ADV
bibechana-57736	187	24	for	for	ADP
bibechana-57736	187	25	longer	long	ADJ
bibechana-57736	187	26	forecast	forecast	NOUN
bibechana-57736	187	27	horizons	horizon	NOUN
bibechana-57736	187	28	.	.	PUNCT
bibechana-57736	188	1	overall	overall	ADV
bibechana-57736	188	2	,	,	PUNCT
bibechana-57736	188	3	the	the	DET
bibechana-57736	188	4	arima	arima	PROPN
bibechana-57736	188	5	pujan	pujan	PROPN
bibechana-57736	188	6	bashyal	bashyal	PROPN
bibechana-57736	188	7	et	et	PROPN
bibechana-57736	188	8	al./	al./	ADV
bibechana-57736	188	9	bibechana	bibechana	PROPN
bibechana-57736	188	10	20	20	NUM
bibechana-57736	188	11	(	(	PUNCT
bibechana-57736	188	12	2023	2023	NUM
bibechana-57736	188	13	)	)	PUNCT
bibechana-57736	188	14	248	248	NUM
bibechana-57736	188	15	-	-	SYM
bibechana-57736	188	16	258	258	NUM
bibechana-57736	188	17	256	256	NUM
bibechana-57736	188	18	figure	figure	NOUN
bibechana-57736	188	19	15	15	NUM
bibechana-57736	188	20	:	:	PUNCT
bibechana-57736	188	21	gps	gps	NOUN
bibechana-57736	188	22	points	point	NOUN
bibechana-57736	188	23	with	with	ADP
bibechana-57736	188	24	values	value	NOUN
bibechana-57736	188	25	measured	measure	VERB
bibechana-57736	188	26	(	(	PUNCT
bibechana-57736	188	27	blue	blue	ADJ
bibechana-57736	188	28	)	)	PUNCT
bibechana-57736	188	29	and	and	CCONJ
bibechana-57736	188	30	predicted	predict	VERB
bibechana-57736	188	31	(	(	PUNCT
bibechana-57736	188	32	red	red	PROPN
bibechana-57736	188	33	)	)	PUNCT
bibechana-57736	188	34	by	by	ADP
bibechana-57736	188	35	dnn	dnn	PROPN
bibechana-57736	188	36	.	.	PROPN
bibechana-57736	189	1	modelling	modelling	NOUN
bibechana-57736	189	2	was	be	AUX
bibechana-57736	189	3	successful	successful	ADJ
bibechana-57736	189	4	in	in	ADP
bibechana-57736	189	5	modelling	model	VERB
bibechana-57736	189	6	the	the	DET
bibechana-57736	189	7	temporal	temporal	ADJ
bibechana-57736	189	8	variations	variation	NOUN
bibechana-57736	189	9	in	in	ADP
bibechana-57736	189	10	do	do	PROPN
bibechana-57736	189	11	and	and	CCONJ
bibechana-57736	189	12	other	other	ADJ
bibechana-57736	189	13	water	water	NOUN
bibechana-57736	189	14	quality	quality	NOUN
bibechana-57736	189	15	indicators	indicator	NOUN
bibechana-57736	189	16	.	.	PUNCT
bibechana-57736	190	1	4.2	4.2	NUM
bibechana-57736	190	2	lstm	lstm	NOUN
bibechana-57736	190	3	model	model	VERB
bibechana-57736	190	4	the	the	DET
bibechana-57736	190	5	lstm	lstm	PROPN
bibechana-57736	190	6	neural	neural	ADJ
bibechana-57736	190	7	network	network	NOUN
bibechana-57736	190	8	model	model	NOUN
bibechana-57736	190	9	demonstrated	demonstrate	VERB
bibechana-57736	190	10	promising	promising	ADJ
bibechana-57736	190	11	performance	performance	NOUN
bibechana-57736	190	12	for	for	ADP
bibechana-57736	190	13	short	short	ADJ
bibechana-57736	190	14	-	-	PUNCT
bibechana-57736	190	15	term	term	NOUN
bibechana-57736	190	16	time	time	NOUN
bibechana-57736	190	17	series	series	NOUN
bibechana-57736	190	18	forecasting	forecasting	NOUN
bibechana-57736	190	19	across	across	ADP
bibechana-57736	190	20	the	the	DET
bibechana-57736	190	21	different	different	ADJ
bibechana-57736	190	22	water	water	NOUN
bibechana-57736	190	23	quality	quality	NOUN
bibechana-57736	190	24	parameters	parameter	NOUN
bibechana-57736	190	25	.	.	PUNCT
bibechana-57736	191	1	for	for	ADP
bibechana-57736	191	2	temperature	temperature	NOUN
bibechana-57736	191	3	predictions	prediction	NOUN
bibechana-57736	191	4	,	,	PUNCT
bibechana-57736	191	5	the	the	DET
bibechana-57736	191	6	model	model	NOUN
bibechana-57736	191	7	achieved	achieve	VERB
bibechana-57736	191	8	the	the	DET
bibechana-57736	191	9	lowest	low	ADJ
bibechana-57736	191	10	error	error	NOUN
bibechana-57736	191	11	with	with	ADP
bibechana-57736	191	12	mae	mae	PROPN
bibechana-57736	191	13	scores	score	NOUN
bibechana-57736	191	14	ranging	range	VERB
bibechana-57736	191	15	from	from	ADP
bibechana-57736	191	16	0.2649	0.2649	NUM
bibechana-57736	191	17	to	to	ADP
bibechana-57736	191	18	0.2701	0.2701	NUM
bibechana-57736	191	19	across	across	ADP
bibechana-57736	191	20	5	5	NUM
bibechana-57736	191	21	-	-	PUNCT
bibechana-57736	191	22	time	time	NOUN
bibechana-57736	191	23	-	-	PUNCT
bibechana-57736	191	24	units	unit	NOUN
bibechana-57736	191	25	.	.	PUNCT
bibechana-57736	192	1	the	the	DET
bibechana-57736	192	2	errors	error	NOUN
bibechana-57736	192	3	were	be	AUX
bibechana-57736	192	4	higher	high	ADJ
bibechana-57736	192	5	but	but	CCONJ
bibechana-57736	192	6	still	still	ADV
bibechana-57736	192	7	fairly	fairly	ADV
bibechana-57736	192	8	low	low	ADJ
bibechana-57736	192	9	for	for	ADP
bibechana-57736	192	10	other	other	ADJ
bibechana-57736	192	11	parameters	parameter	NOUN
bibechana-57736	192	12	like	like	ADP
bibechana-57736	192	13	ph	ph	PROPN
bibechana-57736	192	14	(	(	PUNCT
bibechana-57736	192	15	mae	mae	PROPN
bibechana-57736	192	16	0.0527	0.0527	NUM
bibechana-57736	192	17	to	to	ADP
bibechana-57736	192	18	0.0586	0.0586	NUM
bibechana-57736	192	19	)	)	PUNCT
bibechana-57736	192	20	and	and	CCONJ
bibechana-57736	192	21	dissolved	dissolve	VERB
bibechana-57736	192	22	oxygen	oxygen	NOUN
bibechana-57736	192	23	(	(	PUNCT
bibechana-57736	192	24	mae	mae	PROPN
bibechana-57736	192	25	1.10	1.10	NUM
bibechana-57736	192	26	to	to	ADP
bibechana-57736	192	27	1.49	1.49	NUM
bibechana-57736	192	28	)	)	PUNCT
bibechana-57736	192	29	.	.	PUNCT
bibechana-57736	193	1	the	the	DET
bibechana-57736	193	2	model	model	NOUN
bibechana-57736	193	3	was	be	AUX
bibechana-57736	193	4	able	able	ADJ
bibechana-57736	193	5	to	to	PART
bibechana-57736	193	6	learn	learn	VERB
bibechana-57736	193	7	complex	complex	ADJ
bibechana-57736	193	8	time	time	NOUN
bibechana-57736	193	9	-	-	PUNCT
bibechana-57736	193	10	dependent	dependent	ADJ
bibechana-57736	193	11	patterns	pattern	NOUN
bibechana-57736	193	12	in	in	ADP
bibechana-57736	193	13	the	the	DET
bibechana-57736	193	14	data	datum	NOUN
bibechana-57736	193	15	.	.	PUNCT
bibechana-57736	194	1	the	the	DET
bibechana-57736	194	2	epoch	epoch	NOUN
bibechana-57736	194	3	-	-	PUNCT
bibechana-57736	194	4	wise	wise	ADJ
bibechana-57736	194	5	learning	learning	NOUN
bibechana-57736	194	6	curves	curve	NOUN
bibechana-57736	194	7	showed	show	VERB
bibechana-57736	194	8	that	that	SCONJ
bibechana-57736	194	9	the	the	DET
bibechana-57736	194	10	model	model	NOUN
bibechana-57736	194	11	errors	error	NOUN
bibechana-57736	194	12	stabilized	stabilize	VERB
bibechana-57736	194	13	within	within	ADP
bibechana-57736	194	14	30	30	NUM
bibechana-57736	194	15	-	-	SYM
bibechana-57736	194	16	40	40	NUM
bibechana-57736	194	17	epochs	epoch	NOUN
bibechana-57736	194	18	of	of	ADP
bibechana-57736	194	19	training	training	NOUN
bibechana-57736	194	20	.	.	PUNCT
bibechana-57736	195	1	overall	overall	ADV
bibechana-57736	195	2	,	,	PUNCT
bibechana-57736	195	3	the	the	DET
bibechana-57736	195	4	lstm	lstm	PROPN
bibechana-57736	195	5	model	model	NOUN
bibechana-57736	195	6	provided	provide	VERB
bibechana-57736	195	7	robust	robust	ADJ
bibechana-57736	195	8	forecasts	forecast	NOUN
bibechana-57736	195	9	for	for	ADP
bibechana-57736	195	10	the	the	DET
bibechana-57736	195	11	next	next	ADJ
bibechana-57736	195	12	5	5	NUM
bibechana-57736	195	13	-	-	PUNCT
bibechana-57736	195	14	time	time	NOUN
bibechana-57736	195	15	-	-	PUNCT
bibechana-57736	195	16	steps	step	NOUN
bibechana-57736	195	17	based	base	VERB
bibechana-57736	195	18	on	on	ADP
bibechana-57736	195	19	previous	previous	ADJ
bibechana-57736	195	20	lags	lag	NOUN
bibechana-57736	195	21	and	and	CCONJ
bibechana-57736	195	22	long	long	ADJ
bibechana-57736	195	23	-	-	PUNCT
bibechana-57736	195	24	term	term	NOUN
bibechana-57736	195	25	temporal	temporal	ADJ
bibechana-57736	195	26	contexts	contexts	NOUN
bibechana-57736	195	27	.	.	PUNCT
bibechana-57736	196	1	4.3	4.3	NUM
bibechana-57736	196	2	dnn	dnn	PROPN
bibechana-57736	196	3	model	model	NOUN
bibechana-57736	196	4	the	the	DET
bibechana-57736	196	5	deep	deep	ADJ
bibechana-57736	196	6	neural	neural	ADJ
bibechana-57736	196	7	network	network	NOUN
bibechana-57736	196	8	model	model	NOUN
bibechana-57736	196	9	for	for	ADP
bibechana-57736	196	10	spatial	spatial	ADJ
bibechana-57736	196	11	prediction	prediction	NOUN
bibechana-57736	196	12	yielded	yield	VERB
bibechana-57736	196	13	optimal	optimal	ADJ
bibechana-57736	196	14	results	result	NOUN
bibechana-57736	196	15	with	with	ADP
bibechana-57736	196	16	a	a	DET
bibechana-57736	196	17	80:20	80:20	NUM
bibechana-57736	196	18	train	train	NOUN
bibechana-57736	196	19	-	-	PUNCT
bibechana-57736	196	20	test	test	NOUN
bibechana-57736	196	21	split	split	NOUN
bibechana-57736	196	22	,	,	PUNCT
bibechana-57736	196	23	achieving	achieve	VERB
bibechana-57736	196	24	the	the	DET
bibechana-57736	196	25	lowest	low	ADJ
bibechana-57736	196	26	mae	mae	NOUN
bibechana-57736	196	27	of	of	ADP
bibechana-57736	196	28	around	around	ADV
bibechana-57736	196	29	0.15	0.15	NUM
bibechana-57736	196	30	after	after	ADP
bibechana-57736	196	31	30	30	NUM
bibechana-57736	196	32	epochs	epoch	NOUN
bibechana-57736	196	33	.	.	PUNCT
bibechana-57736	197	1	the	the	DET
bibechana-57736	197	2	model	model	NOUN
bibechana-57736	197	3	training	training	NOUN
bibechana-57736	197	4	curves	curve	NOUN
bibechana-57736	197	5	showed	show	VERB
bibechana-57736	197	6	the	the	DET
bibechana-57736	197	7	validation	validation	NOUN
bibechana-57736	197	8	loss	loss	NOUN
bibechana-57736	197	9	decreasing	decrease	VERB
bibechana-57736	197	10	and	and	CCONJ
bibechana-57736	197	11	levelling	level	VERB
bibechana-57736	197	12	off	off	ADP
bibechana-57736	197	13	after	after	ADP
bibechana-57736	197	14	30	30	NUM
bibechana-57736	197	15	-	-	SYM
bibechana-57736	197	16	40	40	NUM
bibechana-57736	197	17	epochs	epoch	NOUN
bibechana-57736	197	18	across	across	ADP
bibechana-57736	197	19	different	different	ADJ
bibechana-57736	197	20	data	datum	NOUN
bibechana-57736	197	21	splits	split	VERB
bibechana-57736	197	22	.	.	PUNCT
bibechana-57736	198	1	this	this	PRON
bibechana-57736	198	2	indicates	indicate	VERB
bibechana-57736	198	3	that	that	SCONJ
bibechana-57736	198	4	the	the	DET
bibechana-57736	198	5	model	model	NOUN
bibechana-57736	198	6	was	be	AUX
bibechana-57736	198	7	able	able	ADJ
bibechana-57736	198	8	to	to	PART
bibechana-57736	198	9	learn	learn	VERB
bibechana-57736	198	10	the	the	DET
bibechana-57736	198	11	underlying	underlie	VERB
bibechana-57736	198	12	spatial	spatial	ADJ
bibechana-57736	198	13	relationships	relationship	NOUN
bibechana-57736	198	14	between	between	ADP
bibechana-57736	198	15	the	the	DET
bibechana-57736	198	16	location	location	NOUN
bibechana-57736	198	17	coordinates	coordinate	NOUN
bibechana-57736	198	18	and	and	CCONJ
bibechana-57736	198	19	water	water	NOUN
bibechana-57736	198	20	quality	quality	NOUN
bibechana-57736	198	21	parameters	parameter	NOUN
bibechana-57736	198	22	.	.	PUNCT
bibechana-57736	199	1	the	the	DET
bibechana-57736	199	2	multilayer	multilayer	ADJ
bibechana-57736	199	3	architecture	architecture	NOUN
bibechana-57736	199	4	with	with	ADP
bibechana-57736	199	5	increasing	increase	VERB
bibechana-57736	199	6	number	number	NOUN
bibechana-57736	199	7	of	of	ADP
bibechana-57736	199	8	neurons	neuron	NOUN
bibechana-57736	199	9	in	in	ADP
bibechana-57736	199	10	the	the	DET
bibechana-57736	199	11	hidden	hide	VERB
bibechana-57736	199	12	layers	layer	NOUN
bibechana-57736	199	13	likely	likely	ADV
bibechana-57736	199	14	enabled	enable	VERB
bibechana-57736	199	15	the	the	DET
bibechana-57736	199	16	model	model	NOUN
bibechana-57736	199	17	to	to	PART
bibechana-57736	199	18	learn	learn	VERB
bibechana-57736	199	19	complex	complex	ADJ
bibechana-57736	199	20	nonlinear	nonlinear	ADJ
bibechana-57736	199	21	feature	feature	NOUN
bibechana-57736	199	22	representations	representation	NOUN
bibechana-57736	199	23	.	.	PUNCT
bibechana-57736	200	1	the	the	DET
bibechana-57736	200	2	model	model	NOUN
bibechana-57736	200	3	demonstrates	demonstrate	VERB
bibechana-57736	200	4	potential	potential	NOUN
bibechana-57736	200	5	for	for	ADP
bibechana-57736	200	6	accurate	accurate	ADJ
bibechana-57736	200	7	prediction	prediction	NOUN
bibechana-57736	200	8	of	of	ADP
bibechana-57736	200	9	water	water	NOUN
bibechana-57736	200	10	quality	quality	NOUN
bibechana-57736	200	11	indicators	indicator	NOUN
bibechana-57736	200	12	like	like	ADP
bibechana-57736	200	13	ph	ph	NOUN
bibechana-57736	200	14	and	and	CCONJ
bibechana-57736	200	15	do	do	VERB
bibechana-57736	200	16	levels	level	NOUN
bibechana-57736	200	17	based	base	VERB
bibechana-57736	200	18	on	on	ADP
bibechana-57736	200	19	the	the	DET
bibechana-57736	200	20	geographic	geographic	ADJ
bibechana-57736	200	21	coordinates	coordinate	NOUN
bibechana-57736	200	22	.	.	PUNCT
bibechana-57736	201	1	5	5	NUM
bibechana-57736	201	2	conclusion	conclusion	NOUN
bibechana-57736	201	3	this	this	DET
bibechana-57736	201	4	study	study	NOUN
bibechana-57736	201	5	demonstrated	demonstrate	VERB
bibechana-57736	201	6	the	the	DET
bibechana-57736	201	7	feasibility	feasibility	NOUN
bibechana-57736	201	8	of	of	ADP
bibechana-57736	201	9	using	use	VERB
bibechana-57736	201	10	machine	machine	NOUN
bibechana-57736	201	11	learning	learning	NOUN
bibechana-57736	201	12	approaches	approach	NOUN
bibechana-57736	201	13	like	like	ADP
bibechana-57736	201	14	arima	arima	NOUN
bibechana-57736	201	15	,	,	PUNCT
bibechana-57736	201	16	lstm	lstm	NOUN
bibechana-57736	201	17	,	,	PUNCT
bibechana-57736	201	18	and	and	CCONJ
bibechana-57736	201	19	dnn	dnn	PROPN
bibechana-57736	201	20	models	model	NOUN
bibechana-57736	201	21	for	for	ADP
bibechana-57736	201	22	predicting	predict	VERB
bibechana-57736	201	23	water	water	NOUN
bibechana-57736	201	24	quality	quality	NOUN
bibechana-57736	201	25	parameters	parameter	NOUN
bibechana-57736	201	26	in	in	ADP
bibechana-57736	201	27	the	the	DET
bibechana-57736	201	28	bagmati	bagmati	PROPN
bibechana-57736	201	29	river	river	PROPN
bibechana-57736	201	30	in	in	ADP
bibechana-57736	201	31	nepal	nepal	NOUN
bibechana-57736	201	32	.	.	PUNCT
bibechana-57736	202	1	the	the	DET
bibechana-57736	202	2	fine	fine	ADJ
bibechana-57736	202	3	-	-	PUNCT
bibechana-57736	202	4	scale	scale	NOUN
bibechana-57736	202	5	,	,	PUNCT
bibechana-57736	202	6	real	real	ADJ
bibechana-57736	202	7	-	-	PUNCT
bibechana-57736	202	8	time	time	NOUN
bibechana-57736	202	9	observation	observation	NOUN
bibechana-57736	202	10	data	datum	NOUN
bibechana-57736	202	11	collected	collect	VERB
bibechana-57736	202	12	provides	provide	VERB
bibechana-57736	202	13	valuable	valuable	ADJ
bibechana-57736	202	14	insights	insight	NOUN
bibechana-57736	202	15	into	into	ADP
bibechana-57736	202	16	the	the	DET
bibechana-57736	202	17	spatio	spatio	PROPN
bibechana-57736	202	18	-	-	PUNCT
bibechana-57736	202	19	temporal	temporal	ADJ
bibechana-57736	202	20	dynamics	dynamic	NOUN
bibechana-57736	202	21	of	of	ADP
bibechana-57736	202	22	key	key	ADJ
bibechana-57736	202	23	water	water	NOUN
bibechana-57736	202	24	quality	quality	NOUN
bibechana-57736	202	25	indicators	indicator	NOUN
bibechana-57736	202	26	like	like	ADP
bibechana-57736	202	27	ph	ph	NOUN
bibechana-57736	202	28	,	,	PUNCT
bibechana-57736	202	29	do	do	VERB
bibechana-57736	202	30	,	,	PUNCT
bibechana-57736	202	31	temperature	temperature	NOUN
bibechana-57736	202	32	,	,	PUNCT
bibechana-57736	202	33	and	and	CCONJ
bibechana-57736	202	34	conductivity	conductivity	NOUN
bibechana-57736	202	35	.	.	PUNCT
bibechana-57736	203	1	the	the	DET
bibechana-57736	203	2	arima	arima	PROPN
bibechana-57736	203	3	model	model	NOUN
bibechana-57736	203	4	was	be	AUX
bibechana-57736	203	5	successfully	successfully	ADV
bibechana-57736	203	6	implemented	implement	VERB
bibechana-57736	203	7	to	to	PART
bibechana-57736	203	8	capture	capture	VERB
bibechana-57736	203	9	the	the	DET
bibechana-57736	203	10	temporal	temporal	ADJ
bibechana-57736	203	11	patterns	pattern	NOUN
bibechana-57736	203	12	in	in	ADP
bibechana-57736	203	13	parameters	parameter	NOUN
bibechana-57736	203	14	like	like	INTJ
bibechana-57736	203	15	do	do	AUX
bibechana-57736	203	16	and	and	CCONJ
bibechana-57736	203	17	ph	ph	PROPN
bibechana-57736	203	18	.	.	PUNCT
bibechana-57736	204	1	the	the	DET
bibechana-57736	204	2	lstm	lstm	PROPN
bibechana-57736	204	3	model	model	NOUN
bibechana-57736	204	4	also	also	ADV
bibechana-57736	204	5	showed	show	VERB
bibechana-57736	204	6	promising	promising	ADJ
bibechana-57736	204	7	results	result	NOUN
bibechana-57736	204	8	for	for	ADP
bibechana-57736	204	9	short	short	ADJ
bibechana-57736	204	10	-	-	PUNCT
bibechana-57736	204	11	term	term	NOUN
bibechana-57736	204	12	time	time	NOUN
bibechana-57736	204	13	series	series	PROPN
bibechana-57736	204	14	forecasting	forecasting	NOUN
bibechana-57736	204	15	of	of	ADP
bibechana-57736	204	16	multiple	multiple	ADJ
bibechana-57736	204	17	water	water	NOUN
bibechana-57736	204	18	quality	quality	NOUN
bibechana-57736	204	19	variables	variable	NOUN
bibechana-57736	204	20	.	.	PUNCT
bibechana-57736	205	1	the	the	DET
bibechana-57736	205	2	location	location	NOUN
bibechana-57736	205	3	-	-	PUNCT
bibechana-57736	205	4	based	base	VERB
bibechana-57736	205	5	dnn	dnn	PROPN
bibechana-57736	205	6	model	model	NOUN
bibechana-57736	205	7	achieved	achieve	VERB
bibechana-57736	205	8	reasonable	reasonable	ADJ
bibechana-57736	205	9	performance	performance	NOUN
bibechana-57736	205	10	in	in	ADP
bibechana-57736	205	11	predicting	predict	VERB
bibechana-57736	205	12	water	water	NOUN
bibechana-57736	205	13	quality	quality	NOUN
bibechana-57736	205	14	parameters	parameter	NOUN
bibechana-57736	205	15	based	base	VERB
bibechana-57736	205	16	on	on	ADP
bibechana-57736	205	17	geographic	geographic	ADJ
bibechana-57736	205	18	coordinates	coordinate	NOUN
bibechana-57736	205	19	.	.	PUNCT
bibechana-57736	206	1	however	however	ADV
bibechana-57736	206	2	,	,	PUNCT
bibechana-57736	206	3	the	the	DET
bibechana-57736	206	4	limitations	limitation	NOUN
bibechana-57736	206	5	of	of	ADP
bibechana-57736	206	6	the	the	DET
bibechana-57736	206	7	current	current	ADJ
bibechana-57736	206	8	dataset	dataset	NOUN
bibechana-57736	206	9	underscore	underscore	NOUN
bibechana-57736	206	10	the	the	DET
bibechana-57736	206	11	need	need	NOUN
bibechana-57736	206	12	for	for	ADP
bibechana-57736	206	13	expanded	expand	VERB
bibechana-57736	206	14	data	data	NOUN
bibechana-57736	206	15	collection	collection	NOUN
bibechana-57736	206	16	across	across	ADP
bibechana-57736	206	17	wider	wide	ADJ
bibechana-57736	206	18	spatial	spatial	ADJ
bibechana-57736	206	19	and	and	CCONJ
bibechana-57736	206	20	temporal	temporal	ADJ
bibechana-57736	206	21	scales	scale	NOUN
bibechana-57736	206	22	,	,	PUNCT
bibechana-57736	206	23	as	as	ADV
bibechana-57736	206	24	well	well	ADV
bibechana-57736	206	25	as	as	ADP
bibechana-57736	206	26	inclusion	inclusion	NOUN
bibechana-57736	206	27	of	of	ADP
bibechana-57736	206	28	more	more	ADJ
bibechana-57736	206	29	water	water	NOUN
bibechana-57736	206	30	quality	quality	NOUN
bibechana-57736	206	31	indicators	indicator	NOUN
bibechana-57736	206	32	.	.	PUNCT
bibechana-57736	207	1	addressing	address	VERB
bibechana-57736	207	2	these	these	DET
bibechana-57736	207	3	limitations	limitation	NOUN
bibechana-57736	207	4	through	through	ADP
bibechana-57736	207	5	continued	continued	ADJ
bibechana-57736	207	6	research	research	NOUN
bibechana-57736	207	7	will	will	AUX
bibechana-57736	207	8	further	far	ADV
bibechana-57736	207	9	enhance	enhance	VERB
bibechana-57736	207	10	our	our	PRON
bibechana-57736	207	11	understanding	understanding	NOUN
bibechana-57736	207	12	of	of	ADP
bibechana-57736	207	13	the	the	DET
bibechana-57736	207	14	intricate	intricate	ADJ
bibechana-57736	207	15	relationships	relationship	NOUN
bibechana-57736	207	16	between	between	ADP
bibechana-57736	207	17	various	various	ADJ
bibechana-57736	207	18	natural	natural	ADJ
bibechana-57736	207	19	and	and	CCONJ
bibechana-57736	207	20	anthropogenic	anthropogenic	ADJ
bibechana-57736	207	21	factors	factor	NOUN
bibechana-57736	207	22	influencing	influence	VERB
bibechana-57736	207	23	river	river	NOUN
bibechana-57736	207	24	water	water	NOUN
bibechana-57736	207	25	quality	quality	NOUN
bibechana-57736	207	26	.	.	PUNCT
bibechana-57736	208	1	incorporating	incorporate	VERB
bibechana-57736	208	2	turbulence	turbulence	NOUN
bibechana-57736	208	3	data	datum	NOUN
bibechana-57736	208	4	along	along	ADP
bibechana-57736	208	5	with	with	ADP
bibechana-57736	208	6	spatiotemporal	spatiotemporal	ADJ
bibechana-57736	208	7	coordinates	coordinate	NOUN
bibechana-57736	208	8	could	could	AUX
bibechana-57736	208	9	have	have	AUX
bibechana-57736	208	10	enabled	enable	VERB
bibechana-57736	208	11	examining	examine	VERB
bibechana-57736	208	12	the	the	DET
bibechana-57736	208	13	fluctuations	fluctuation	NOUN
bibechana-57736	208	14	in	in	ADP
bibechana-57736	208	15	water	water	NOUN
bibechana-57736	208	16	quality	quality	NOUN
bibechana-57736	208	17	parameters	parameter	NOUN
bibechana-57736	208	18	as	as	SCONJ
bibechana-57736	208	19	water	water	NOUN
bibechana-57736	208	20	flows	flow	VERB
bibechana-57736	208	21	through	through	ADP
bibechana-57736	208	22	different	different	ADJ
bibechana-57736	208	23	regions	region	NOUN
bibechana-57736	208	24	over	over	ADP
bibechana-57736	208	25	time	time	NOUN
bibechana-57736	208	26	.	.	PUNCT
bibechana-57736	209	1	availability	availability	NOUN
bibechana-57736	209	2	of	of	ADP
bibechana-57736	209	3	extensive	extensive	ADJ
bibechana-57736	209	4	datasets	dataset	NOUN
bibechana-57736	209	5	capturing	capture	VERB
bibechana-57736	209	6	turbulence	turbulence	NOUN
bibechana-57736	209	7	,	,	PUNCT
bibechana-57736	209	8	timestamps	timestamp	NOUN
bibechana-57736	209	9	,	,	PUNCT
bibechana-57736	209	10	and	and	CCONJ
bibechana-57736	209	11	locations	location	NOUN
bibechana-57736	209	12	would	would	AUX
bibechana-57736	209	13	have	have	AUX
bibechana-57736	209	14	facilitated	facilitate	VERB
bibechana-57736	209	15	developing	develop	VERB
bibechana-57736	209	16	enhanced	enhance	VERB
bibechana-57736	209	17	forecasting	forecasting	NOUN
bibechana-57736	209	18	models	model	NOUN
bibechana-57736	209	19	and	and	CCONJ
bibechana-57736	209	20	uncovering	uncover	VERB
bibechana-57736	209	21	significant	significant	ADJ
bibechana-57736	209	22	dynamic	dynamic	ADJ
bibechana-57736	209	23	patterns	pattern	NOUN
bibechana-57736	209	24	and	and	CCONJ
bibechana-57736	209	25	trends	trend	NOUN
bibechana-57736	209	26	.	.	PUNCT
bibechana-57736	210	1	specifically	specifically	ADV
bibechana-57736	210	2	,	,	PUNCT
bibechana-57736	210	3	analysis	analysis	NOUN
bibechana-57736	210	4	of	of	ADP
bibechana-57736	210	5	how	how	SCONJ
bibechana-57736	210	6	turbulence	turbulence	NOUN
bibechana-57736	210	7	impacts	impact	VERB
bibechana-57736	210	8	various	various	ADJ
bibechana-57736	210	9	quality	quality	NOUN
bibechana-57736	210	10	measures	measure	NOUN
bibechana-57736	210	11	could	could	AUX
bibechana-57736	210	12	lead	lead	VERB
bibechana-57736	210	13	to	to	ADP
bibechana-57736	210	14	more	more	ADV
bibechana-57736	210	15	sophisticated	sophisticated	ADJ
bibechana-57736	210	16	models	model	NOUN
bibechana-57736	210	17	and	and	CCONJ
bibechana-57736	210	18	insights	insight	NOUN
bibechana-57736	210	19	.	.	PUNCT
bibechana-57736	211	1	however	however	ADV
bibechana-57736	211	2	,	,	PUNCT
bibechana-57736	211	3	investigating	investigate	VERB
bibechana-57736	211	4	the	the	DET
bibechana-57736	211	5	role	role	NOUN
bibechana-57736	211	6	of	of	ADP
bibechana-57736	211	7	turbulence	turbulence	NOUN
bibechana-57736	211	8	poses	pose	VERB
bibechana-57736	211	9	certain	certain	ADJ
bibechana-57736	211	10	challenges	challenge	NOUN
bibechana-57736	211	11	such	such	ADJ
bibechana-57736	211	12	as	as	ADP
bibechana-57736	211	13	complex	complex	ADJ
bibechana-57736	211	14	measurements	measurement	NOUN
bibechana-57736	211	15	and	and	CCONJ
bibechana-57736	211	16	simulations	simulation	NOUN
bibechana-57736	211	17	.	.	PUNCT
bibechana-57736	212	1	nevertheless	nevertheless	ADV
bibechana-57736	212	2	,	,	PUNCT
bibechana-57736	212	3	accounting	account	VERB
bibechana-57736	212	4	for	for	ADP
bibechana-57736	212	5	turbulence	turbulence	NOUN
bibechana-57736	212	6	remains	remain	VERB
bibechana-57736	212	7	an	an	DET
bibechana-57736	212	8	important	important	ADJ
bibechana-57736	212	9	consideration	consideration	NOUN
bibechana-57736	212	10	for	for	ADP
bibechana-57736	212	11	future	future	ADJ
bibechana-57736	212	12	work	work	NOUN
bibechana-57736	212	13	to	to	PART
bibechana-57736	212	14	advance	advance	VERB
bibechana-57736	212	15	pujan	pujan	NOUN
bibechana-57736	212	16	bashyal	bashyal	PROPN
bibechana-57736	212	17	et	et	PROPN
bibechana-57736	212	18	al./	al./	ADV
bibechana-57736	212	19	bibechana	bibechana	PROPN
bibechana-57736	212	20	20	20	NUM
bibechana-57736	212	21	(	(	PUNCT
bibechana-57736	212	22	2023	2023	NUM
bibechana-57736	212	23	)	)	PUNCT
bibechana-57736	212	24	248	248	NUM
bibechana-57736	212	25	-	-	SYM
bibechana-57736	212	26	258	258	NUM
bibechana-57736	212	27	257	257	NUM
bibechana-57736	212	28	understanding	understanding	NOUN
bibechana-57736	212	29	of	of	ADP
bibechana-57736	212	30	aquatic	aquatic	ADJ
bibechana-57736	212	31	systems	system	NOUN
bibechana-57736	212	32	and	and	CCONJ
bibechana-57736	212	33	devise	devise	VERB
bibechana-57736	212	34	optimal	optimal	ADJ
bibechana-57736	212	35	water	water	NOUN
bibechana-57736	212	36	resource	resource	NOUN
bibechana-57736	212	37	management	management	NOUN
bibechana-57736	212	38	strategies	strategy	NOUN
bibechana-57736	212	39	.	.	PUNCT
bibechana-57736	213	1	while	while	SCONJ
bibechana-57736	213	2	turbulence	turbulence	NOUN
bibechana-57736	213	3	incorporation	incorporation	NOUN
bibechana-57736	213	4	was	be	AUX
bibechana-57736	213	5	beyond	beyond	ADP
bibechana-57736	213	6	the	the	DET
bibechana-57736	213	7	scope	scope	NOUN
bibechana-57736	213	8	of	of	ADP
bibechana-57736	213	9	this	this	DET
bibechana-57736	213	10	study	study	NOUN
bibechana-57736	213	11	,	,	PUNCT
bibechana-57736	213	12	addressing	address	VERB
bibechana-57736	213	13	the	the	DET
bibechana-57736	213	14	associated	associated	ADJ
bibechana-57736	213	15	difficulties	difficulty	NOUN
bibechana-57736	213	16	and	and	CCONJ
bibechana-57736	213	17	limitations	limitation	NOUN
bibechana-57736	213	18	in	in	ADP
bibechana-57736	213	19	follow	follow	NOUN
bibechana-57736	213	20	-	-	PUNCT
bibechana-57736	213	21	up	up	ADP
bibechana-57736	213	22	research	research	NOUN
bibechana-57736	213	23	could	could	AUX
bibechana-57736	213	24	significantly	significantly	ADV
bibechana-57736	213	25	improve	improve	VERB
bibechana-57736	213	26	water	water	NOUN
bibechana-57736	213	27	quality	quality	NOUN
bibechana-57736	213	28	assessment	assessment	NOUN
bibechana-57736	213	29	capabilities	capability	NOUN
bibechana-57736	213	30	.	.	PUNCT
bibechana-57736	214	1	nonetheless	nonetheless	ADV
bibechana-57736	214	2	,	,	PUNCT
bibechana-57736	214	3	this	this	DET
bibechana-57736	214	4	study	study	NOUN
bibechana-57736	214	5	represents	represent	VERB
bibechana-57736	214	6	an	an	DET
bibechana-57736	214	7	important	important	ADJ
bibechana-57736	214	8	step	step	NOUN
bibechana-57736	214	9	towards	towards	ADP
bibechana-57736	214	10	leveraging	leverage	VERB
bibechana-57736	214	11	advanced	advanced	ADJ
bibechana-57736	214	12	ml	ml	NOUN
bibechana-57736	214	13	techniques	technique	NOUN
bibechana-57736	214	14	for	for	ADP
bibechana-57736	214	15	developing	develop	VERB
bibechana-57736	214	16	accurate	accurate	ADJ
bibechana-57736	214	17	,	,	PUNCT
bibechana-57736	214	18	real	real	ADJ
bibechana-57736	214	19	-	-	PUNCT
bibechana-57736	214	20	time	time	NOUN
bibechana-57736	214	21	water	water	NOUN
bibechana-57736	214	22	quality	quality	NOUN
bibechana-57736	214	23	monitoring	monitoring	NOUN
bibechana-57736	214	24	systems	system	NOUN
bibechana-57736	214	25	.	.	PUNCT
bibechana-57736	215	1	the	the	DET
bibechana-57736	215	2	model	model	NOUN
bibechana-57736	215	3	frameworks	framework	NOUN
bibechana-57736	215	4	presented	present	VERB
bibechana-57736	215	5	can	can	AUX
bibechana-57736	215	6	inform	inform	VERB
bibechana-57736	215	7	future	future	ADJ
bibechana-57736	215	8	efforts	effort	NOUN
bibechana-57736	215	9	to	to	PART
bibechana-57736	215	10	build	build	VERB
bibechana-57736	215	11	intelligent	intelligent	ADJ
bibechana-57736	215	12	decision	decision	NOUN
bibechana-57736	215	13	support	support	NOUN
bibechana-57736	215	14	systems	system	NOUN
bibechana-57736	215	15	for	for	ADP
bibechana-57736	215	16	water	water	NOUN
bibechana-57736	215	17	resource	resource	NOUN
bibechana-57736	215	18	management	management	NOUN
bibechana-57736	215	19	,	,	PUNCT
bibechana-57736	215	20	pollution	pollution	NOUN
bibechana-57736	215	21	control	control	NOUN
bibechana-57736	215	22	and	and	CCONJ
bibechana-57736	215	23	remediation	remediation	NOUN
bibechana-57736	215	24	in	in	ADP
bibechana-57736	215	25	the	the	DET
bibechana-57736	215	26	bagmati	bagmati	PROPN
bibechana-57736	215	27	and	and	CCONJ
bibechana-57736	215	28	similar	similar	ADJ
bibechana-57736	215	29	river	river	NOUN
bibechana-57736	215	30	ecosystems	ecosystem	NOUN
bibechana-57736	215	31	.	.	PUNCT
bibechana-57736	216	1	acknowledgement	acknowledgement	NOUN
bibechana-57736	216	2	this	this	DET
bibechana-57736	216	3	research	research	NOUN
bibechana-57736	216	4	is	be	AUX
bibechana-57736	216	5	supported	support	VERB
bibechana-57736	216	6	by	by	ADP
bibechana-57736	216	7	university	university	NOUN
bibechana-57736	216	8	grants	grant	NOUN
bibechana-57736	216	9	commission	commission	PROPN
bibechana-57736	216	10	,	,	PUNCT
bibechana-57736	216	11	nepal	nepal	ADJ
bibechana-57736	216	12	through	through	ADP
bibechana-57736	216	13	collaborative	collaborative	ADJ
bibechana-57736	216	14	research	research	NOUN
bibechana-57736	216	15	grant	grant	NOUN
bibechana-57736	216	16	(	(	PUNCT
bibechana-57736	216	17	crg-79/80	crg-79/80	PROPN
bibechana-57736	216	18	-	-	PUNCT
bibechana-57736	216	19	st-01	st-01	NUM
bibechana-57736	216	20	)	)	PUNCT
bibechana-57736	216	21	.	.	PUNCT
bibechana-57736	217	1	references	reference	NOUN
bibechana-57736	217	2	[	[	X
bibechana-57736	217	3	1	1	NUM
bibechana-57736	217	4	]	]	PUNCT
bibechana-57736	217	5	m.	m.	NOUN
bibechana-57736	217	6	p.	p.	PROPN
bibechana-57736	217	7	adhikari	adhikari	PROPN
bibechana-57736	217	8	,	,	PUNCT
bibechana-57736	217	9	n.	n.	PROPN
bibechana-57736	217	10	b.	b.	PROPN
bibechana-57736	217	11	rawal	rawal	PROPN
bibechana-57736	217	12	,	,	PUNCT
bibechana-57736	217	13	and	and	CCONJ
bibechana-57736	217	14	n.	n.	PROPN
bibechana-57736	217	15	b.	b.	PROPN
bibechana-57736	217	16	adhikari	adhikari	PROPN
bibechana-57736	217	17	.	.	PUNCT
bibechana-57736	218	1	real	real	ADJ
bibechana-57736	218	2	-	-	PUNCT
bibechana-57736	218	3	time	time	NOUN
bibechana-57736	218	4	fine	fine	ADJ
bibechana-57736	218	5	-	-	PUNCT
bibechana-57736	218	6	scale	scale	NOUN
bibechana-57736	218	7	measurement	measurement	NOUN
bibechana-57736	218	8	of	of	ADP
bibechana-57736	218	9	water	water	NOUN
bibechana-57736	218	10	quality	quality	NOUN
bibechana-57736	218	11	parameters	parameter	NOUN
bibechana-57736	218	12	along	along	ADP
bibechana-57736	218	13	the	the	DET
bibechana-57736	218	14	bagmati	bagmati	PROPN
bibechana-57736	218	15	river	river	PROPN
bibechana-57736	218	16	in	in	ADP
bibechana-57736	218	17	the	the	DET
bibechana-57736	218	18	kathmandu	kathmandu	PROPN
bibechana-57736	218	19	valley	valley	NOUN
bibechana-57736	218	20	.	.	PUNCT
bibechana-57736	219	1	nature	nature	NOUN
bibechana-57736	219	2	environment	environment	NOUN
bibechana-57736	219	3	and	and	CCONJ
bibechana-57736	219	4	pollution	pollution	NOUN
bibechana-57736	219	5	technology	technology	NOUN
bibechana-57736	219	6	,	,	PUNCT
bibechana-57736	219	7	20(3):1047	20(3):1047	NUM
bibechana-57736	219	8	–	–	PUNCT
bibechana-57736	219	9	1057	1057	NUM
bibechana-57736	219	10	,	,	PUNCT
bibechana-57736	219	11	sep	sep	NOUN
bibechana-57736	219	12	2021	2021	NUM
bibechana-57736	219	13	.	.	PUNCT
bibechana-57736	220	1	[	[	X
bibechana-57736	220	2	2	2	NUM
bibechana-57736	220	3	]	]	PUNCT
bibechana-57736	220	4	a.	a.	NOUN
bibechana-57736	220	5	najah	najah	PROPN
bibechana-57736	220	6	ahmed	ahme	VERB
bibechana-57736	220	7	et	et	PROPN
bibechana-57736	220	8	al	al	PROPN
bibechana-57736	220	9	.	.	PROPN
bibechana-57736	220	10	machine	machine	NOUN
bibechana-57736	220	11	learning	learn	VERB
bibechana-57736	220	12	methods	method	NOUN
bibechana-57736	220	13	for	for	ADP
bibechana-57736	220	14	better	well	ADJ
bibechana-57736	220	15	water	water	NOUN
bibechana-57736	220	16	quality	quality	NOUN
bibechana-57736	220	17	prediction	prediction	NOUN
bibechana-57736	220	18	.	.	PUNCT
bibechana-57736	221	1	j	j	PROPN
bibechana-57736	221	2	hydrol	hydrol	NOUN
bibechana-57736	221	3	(	(	PUNCT
bibechana-57736	221	4	amst	amst	PROPN
bibechana-57736	221	5	)	)	PUNCT
bibechana-57736	221	6	,	,	PUNCT
bibechana-57736	221	7	578:124084	578:124084	NUM
bibechana-57736	221	8	,	,	PUNCT
bibechana-57736	221	9	nov	nov	PROPN
bibechana-57736	221	10	2019	2019	NUM
bibechana-57736	221	11	.	.	PUNCT
bibechana-57736	222	1	[	[	X
bibechana-57736	222	2	3	3	X
bibechana-57736	222	3	]	]	PUNCT
bibechana-57736	222	4	s.	s.	PROPN
bibechana-57736	222	5	c.	c.	PROPN
bibechana-57736	222	6	azhar	azhar	PROPN
bibechana-57736	222	7	,	,	PUNCT
bibechana-57736	222	8	a.	a.	PROPN
bibechana-57736	222	9	z.	z.	PROPN
bibechana-57736	222	10	aris	aris	PROPN
bibechana-57736	222	11	,	,	PUNCT
bibechana-57736	222	12	m.	m.	PROPN
bibechana-57736	222	13	k.	k.	PROPN
bibechana-57736	222	14	yusoff	yusoff	PROPN
bibechana-57736	222	15	,	,	PUNCT
bibechana-57736	222	16	m.	m.	PROPN
bibechana-57736	222	17	f.	f.	PROPN
bibechana-57736	222	18	ramli	ramli	PROPN
bibechana-57736	222	19	,	,	PUNCT
bibechana-57736	222	20	and	and	CCONJ
bibechana-57736	222	21	h.	h.	PROPN
bibechana-57736	222	22	juahir	juahir	PROPN
bibechana-57736	222	23	.	.	PUNCT
bibechana-57736	223	1	classification	classification	NOUN
bibechana-57736	223	2	of	of	ADP
bibechana-57736	223	3	river	river	NOUN
bibechana-57736	223	4	water	water	NOUN
bibechana-57736	223	5	quality	quality	NOUN
bibechana-57736	223	6	using	use	VERB
bibechana-57736	223	7	multivariate	multivariate	NOUN
bibechana-57736	223	8	analysis	analysis	NOUN
bibechana-57736	223	9	.	.	PUNCT
bibechana-57736	224	1	procedia	procedia	PROPN
bibechana-57736	224	2	environ	environ	X
bibechana-57736	224	3	sci	sci	PROPN
bibechana-57736	224	4	,	,	PUNCT
bibechana-57736	224	5	30:79–84	30:79–84	NOUN
bibechana-57736	224	6	,	,	PUNCT
bibechana-57736	224	7	2015	2015	NUM
bibechana-57736	224	8	.	.	PUNCT
bibechana-57736	225	1	[	[	X
bibechana-57736	225	2	4	4	X
bibechana-57736	225	3	]	]	X
bibechana-57736	225	4	y.	y.	PROPN
bibechana-57736	225	5	zhang	zhang	PROPN
bibechana-57736	225	6	et	et	PROPN
bibechana-57736	225	7	al	al	PROPN
bibechana-57736	225	8	.	.	PROPN
bibechana-57736	225	9	accurate	accurate	ADJ
bibechana-57736	225	10	prediction	prediction	NOUN
bibechana-57736	225	11	of	of	ADP
bibechana-57736	225	12	water	water	NOUN
bibechana-57736	225	13	quality	quality	NOUN
bibechana-57736	225	14	in	in	ADP
bibechana-57736	225	15	urban	urban	ADJ
bibechana-57736	225	16	drainage	drainage	NOUN
bibechana-57736	225	17	network	network	NOUN
bibechana-57736	225	18	with	with	ADP
bibechana-57736	225	19	integrated	integrate	VERB
bibechana-57736	225	20	emd	emd	PROPN
bibechana-57736	225	21	-	-	PUNCT
bibechana-57736	225	22	lstm	lstm	PROPN
bibechana-57736	225	23	model	model	NOUN
bibechana-57736	225	24	.	.	PUNCT
bibechana-57736	226	1	j	j	PROPN
bibechana-57736	226	2	clean	clean	ADJ
bibechana-57736	226	3	prod	prod	NOUN
bibechana-57736	226	4	,	,	PUNCT
bibechana-57736	226	5	354:131724	354:131724	NUM
bibechana-57736	226	6	,	,	PUNCT
bibechana-57736	226	7	jun	jun	PROPN
bibechana-57736	226	8	2022	2022	NUM
bibechana-57736	226	9	.	.	PUNCT
bibechana-57736	227	1	[	[	X
bibechana-57736	227	2	5	5	NUM
bibechana-57736	227	3	]	]	PUNCT
bibechana-57736	227	4	r.	r.	PROPN
bibechana-57736	227	5	sharma	sharma	PROPN
bibechana-57736	227	6	et	et	PROPN
bibechana-57736	227	7	al	al	PROPN
bibechana-57736	227	8	.	.	PROPN
bibechana-57736	227	9	analysis	analysis	NOUN
bibechana-57736	227	10	of	of	ADP
bibechana-57736	227	11	water	water	NOUN
bibechana-57736	227	12	pollution	pollution	NOUN
bibechana-57736	227	13	using	use	VERB
bibechana-57736	227	14	different	different	ADJ
bibechana-57736	227	15	physicochemical	physicochemical	ADJ
bibechana-57736	227	16	parameters	parameter	NOUN
bibechana-57736	227	17	:	:	PUNCT
bibechana-57736	227	18	a	a	DET
bibechana-57736	227	19	study	study	NOUN
bibechana-57736	227	20	of	of	ADP
bibechana-57736	227	21	yamuna	yamuna	PROPN
bibechana-57736	227	22	river	river	PROPN
bibechana-57736	227	23	.	.	PUNCT
bibechana-57736	228	1	front	front	PROPN
bibechana-57736	228	2	environ	environ	X
bibechana-57736	228	3	sci	sci	PROPN
bibechana-57736	228	4	,	,	PUNCT
bibechana-57736	228	5	8	8	NUM
bibechana-57736	228	6	,	,	PUNCT
bibechana-57736	228	7	dec	dec	PROPN
bibechana-57736	228	8	2020	2020	NUM
bibechana-57736	228	9	.	.	PUNCT
bibechana-57736	229	1	[	[	X
bibechana-57736	229	2	6	6	NUM
bibechana-57736	229	3	]	]	PUNCT
bibechana-57736	229	4	j.	j.	PROPN
bibechana-57736	229	5	liu	liu	PROPN
bibechana-57736	229	6	et	et	PROPN
bibechana-57736	229	7	al	al	PROPN
bibechana-57736	229	8	.	.	PROPN
bibechana-57736	229	9	accurate	accurate	PROPN
bibechana-57736	229	10	prediction	prediction	NOUN
bibechana-57736	229	11	scheme	scheme	NOUN
bibechana-57736	229	12	of	of	ADP
bibechana-57736	229	13	water	water	NOUN
bibechana-57736	229	14	quality	quality	NOUN
bibechana-57736	229	15	in	in	ADP
bibechana-57736	229	16	smart	smart	ADJ
bibechana-57736	229	17	mariculture	mariculture	NOUN
bibechana-57736	229	18	with	with	ADP
bibechana-57736	229	19	deep	deep	ADJ
bibechana-57736	229	20	bis	bis	ADJ
bibechana-57736	229	21	-	-	ADJ
bibechana-57736	229	22	sru	sru	ADJ
bibechana-57736	229	23	learning	learning	NOUN
bibechana-57736	229	24	network	network	NOUN
bibechana-57736	229	25	.	.	PUNCT
bibechana-57736	230	1	ieee	ieee	NOUN
bibechana-57736	230	2	access	access	NOUN
bibechana-57736	230	3	,	,	PUNCT
bibechana-57736	230	4	8:24784	8:24784	NUM
bibechana-57736	230	5	–	–	PUNCT
bibechana-57736	230	6	24798	24798	NUM
bibechana-57736	230	7	,	,	PUNCT
bibechana-57736	230	8	2020	2020	NUM
bibechana-57736	230	9	.	.	PUNCT
bibechana-57736	231	1	[	[	X
bibechana-57736	231	2	7	7	X
bibechana-57736	231	3	]	]	X
bibechana-57736	231	4	u.	u.	PROPN
bibechana-57736	231	5	ahmed	ahmed	PROPN
bibechana-57736	231	6	et	et	PROPN
bibechana-57736	231	7	al	al	PROPN
bibechana-57736	231	8	.	.	PROPN
bibechana-57736	232	1	efficient	efficient	ADJ
bibechana-57736	232	2	water	water	NOUN
bibechana-57736	232	3	quality	quality	NOUN
bibechana-57736	232	4	prediction	prediction	NOUN
bibechana-57736	232	5	using	use	VERB
bibechana-57736	232	6	supervised	supervised	ADJ
bibechana-57736	232	7	machine	machine	NOUN
bibechana-57736	232	8	learning	learning	NOUN
bibechana-57736	232	9	.	.	PUNCT
bibechana-57736	233	1	water	water	NOUN
bibechana-57736	233	2	(	(	PUNCT
bibechana-57736	233	3	basel	basel	PROPN
bibechana-57736	233	4	)	)	PUNCT
bibechana-57736	233	5	,	,	PUNCT
bibechana-57736	233	6	11(11):2210	11(11):2210	NUM
bibechana-57736	233	7	,	,	PUNCT
bibechana-57736	233	8	oct	oct	PROPN
bibechana-57736	233	9	2019	2019	NUM
bibechana-57736	233	10	.	.	PUNCT
bibechana-57736	234	1	[	[	X
bibechana-57736	234	2	8	8	NUM
bibechana-57736	234	3	]	]	PUNCT
bibechana-57736	234	4	z.	z.	PROPN
bibechana-57736	234	5	s.	s.	PROPN
bibechana-57736	234	6	khudhair	khudhair	PROPN
bibechana-57736	234	7	,	,	PUNCT
bibechana-57736	234	8	s.	s.	PROPN
bibechana-57736	234	9	l.	l.	PROPN
bibechana-57736	234	10	zubaidi	zubaidi	PROPN
bibechana-57736	234	11	,	,	PUNCT
bibechana-57736	234	12	s.	s.	PROPN
bibechana-57736	234	13	ortegamartorell	ortegamartorell	PROPN
bibechana-57736	234	14	,	,	PUNCT
bibechana-57736	234	15	n.	n.	PROPN
bibechana-57736	234	16	al	al	PROPN
bibechana-57736	234	17	-	-	PUNCT
bibechana-57736	234	18	ansari	ansari	PROPN
bibechana-57736	234	19	,	,	PUNCT
bibechana-57736	234	20	s.	s.	PROPN
bibechana-57736	234	21	ethaib	ethaib	PROPN
bibechana-57736	234	22	,	,	PUNCT
bibechana-57736	234	23	and	and	CCONJ
bibechana-57736	234	24	k.	k.	PROPN
bibechana-57736	234	25	hashim	hashim	PROPN
bibechana-57736	234	26	.	.	PUNCT
bibechana-57736	235	1	a	a	DET
bibechana-57736	235	2	review	review	NOUN
bibechana-57736	235	3	of	of	ADP
bibechana-57736	235	4	hybrid	hybrid	ADJ
bibechana-57736	235	5	soft	soft	ADJ
bibechana-57736	235	6	computing	computing	NOUN
bibechana-57736	235	7	and	and	CCONJ
bibechana-57736	235	8	data	datum	NOUN
bibechana-57736	235	9	pre	pre	ADJ
bibechana-57736	235	10	-	-	ADJ
bibechana-57736	235	11	processing	processing	ADJ
bibechana-57736	235	12	techniques	technique	NOUN
bibechana-57736	235	13	to	to	PART
bibechana-57736	235	14	forecast	forecast	VERB
bibechana-57736	235	15	freshwater	freshwater	PROPN
bibechana-57736	235	16	quality	quality	PROPN
bibechana-57736	235	17	’s	’s	PART
bibechana-57736	235	18	parameters	parameter	NOUN
bibechana-57736	235	19	:	:	PUNCT
bibechana-57736	235	20	current	current	ADJ
bibechana-57736	235	21	trends	trend	NOUN
bibechana-57736	235	22	and	and	CCONJ
bibechana-57736	235	23	future	future	ADJ
bibechana-57736	235	24	directions	direction	NOUN
bibechana-57736	235	25	.	.	PUNCT
bibechana-57736	236	1	environments	environment	NOUN
bibechana-57736	236	2	mdpi	mdpi	PROPN
bibechana-57736	236	3	,	,	PUNCT
bibechana-57736	236	4	9(7):85	9(7):85	NUM
bibechana-57736	236	5	,	,	PUNCT
bibechana-57736	236	6	jul	jul	PROPN
bibechana-57736	236	7	2022	2022	NUM
bibechana-57736	236	8	.	.	PUNCT
bibechana-57736	237	1	[	[	X
bibechana-57736	237	2	9	9	NUM
bibechana-57736	237	3	]	]	SYM
bibechana-57736	237	4	yanfei	yanfei	NOUN
bibechana-57736	237	5	zhao	zhao	PROPN
bibechana-57736	237	6	,	,	PUNCT
bibechana-57736	237	7	zhihong	zhihong	PROPN
bibechana-57736	237	8	zou	zou	PROPN
bibechana-57736	237	9	,	,	PUNCT
bibechana-57736	237	10	and	and	CCONJ
bibechana-57736	237	11	shenglong	shenglong	PROPN
bibechana-57736	237	12	wang	wang	PROPN
bibechana-57736	237	13	.	.	PUNCT
bibechana-57736	238	1	a	a	DET
bibechana-57736	238	2	back	back	ADJ
bibechana-57736	238	3	propagation	propagation	NOUN
bibechana-57736	238	4	neural	neural	ADJ
bibechana-57736	238	5	network	network	NOUN
bibechana-57736	238	6	model	model	NOUN
bibechana-57736	238	7	based	base	VERB
bibechana-57736	238	8	on	on	ADP
bibechana-57736	238	9	kalman	kalman	PROPN
bibechana-57736	238	10	filter	filter	PROPN
bibechana-57736	238	11	for	for	ADP
bibechana-57736	238	12	water	water	NOUN
bibechana-57736	238	13	quality	quality	NOUN
bibechana-57736	238	14	prediction	prediction	NOUN
bibechana-57736	238	15	.	.	PUNCT
bibechana-57736	239	1	in	in	ADP
bibechana-57736	239	2	2015	2015	NUM
bibechana-57736	239	3	11th	11th	ADJ
bibechana-57736	239	4	international	international	ADJ
bibechana-57736	239	5	conference	conference	NOUN
bibechana-57736	239	6	on	on	ADP
bibechana-57736	239	7	natural	natural	ADJ
bibechana-57736	239	8	computation	computation	NOUN
bibechana-57736	239	9	(	(	PUNCT
bibechana-57736	239	10	icnc	icnc	PROPN
bibechana-57736	239	11	)	)	PUNCT
bibechana-57736	239	12	,	,	PUNCT
bibechana-57736	239	13	pages	page	NOUN
bibechana-57736	239	14	149–153	149–153	NUM
bibechana-57736	239	15	,	,	PUNCT
bibechana-57736	239	16	2015	2015	NUM
bibechana-57736	239	17	.	.	PUNCT
bibechana-57736	240	1	[	[	X
bibechana-57736	240	2	10	10	NUM
bibechana-57736	240	3	]	]	PUNCT
bibechana-57736	240	4	t.	t.	PROPN
bibechana-57736	240	5	h.	h.	PROPN
bibechana-57736	240	6	h.	h.	PROPN
bibechana-57736	240	7	aldhyani	aldhyani	PROPN
bibechana-57736	240	8	,	,	PUNCT
bibechana-57736	240	9	m.	m.	PROPN
bibechana-57736	240	10	al	al	PROPN
bibechana-57736	240	11	-	-	PUNCT
bibechana-57736	240	12	yaari	yaari	PROPN
bibechana-57736	240	13	,	,	PUNCT
bibechana-57736	240	14	h.	h.	PROPN
bibechana-57736	240	15	alkahtani	alkahtani	PROPN
bibechana-57736	240	16	,	,	PUNCT
bibechana-57736	240	17	and	and	CCONJ
bibechana-57736	240	18	m.	m.	PROPN
bibechana-57736	240	19	maashi	maashi	PROPN
bibechana-57736	240	20	.	.	PUNCT
bibechana-57736	241	1	water	water	NOUN
bibechana-57736	241	2	quality	quality	NOUN
bibechana-57736	241	3	prediction	prediction	NOUN
bibechana-57736	241	4	using	use	VERB
bibechana-57736	241	5	artificial	artificial	ADJ
bibechana-57736	241	6	intelligence	intelligence	NOUN
bibechana-57736	241	7	algorithms	algorithm	NOUN
bibechana-57736	241	8	.	.	PUNCT
bibechana-57736	242	1	appl	appl	NOUN
bibechana-57736	242	2	bionics	bionic	NOUN
bibechana-57736	242	3	biomech	biomech	NOUN
bibechana-57736	242	4	,	,	PUNCT
bibechana-57736	242	5	2020:1–12	2020:1–12	NUM
bibechana-57736	242	6	,	,	PUNCT
bibechana-57736	242	7	dec	dec	PROPN
bibechana-57736	242	8	2020	2020	NUM
bibechana-57736	242	9	.	.	PUNCT
bibechana-57736	243	1	[	[	X
bibechana-57736	243	2	11	11	NUM
bibechana-57736	243	3	]	]	X
bibechana-57736	243	4	y.	y.	PROPN
bibechana-57736	243	5	zhou	zhou	PROPN
bibechana-57736	243	6	et	et	PROPN
bibechana-57736	244	1	al	al	PROPN
bibechana-57736	244	2	.	.	PUNCT
bibechana-57736	245	1	real	real	ADJ
bibechana-57736	245	2	-	-	PUNCT
bibechana-57736	245	3	time	time	NOUN
bibechana-57736	245	4	probabilistic	probabilistic	ADJ
bibechana-57736	245	5	forecasting	forecasting	NOUN
bibechana-57736	245	6	of	of	ADP
bibechana-57736	245	7	river	river	NOUN
bibechana-57736	245	8	water	water	NOUN
bibechana-57736	245	9	quality	quality	NOUN
bibechana-57736	245	10	under	under	ADP
bibechana-57736	245	11	data	datum	NOUN
bibechana-57736	245	12	missing	miss	VERB
bibechana-57736	245	13	situation	situation	NOUN
bibechana-57736	245	14	:	:	PUNCT
bibechana-57736	245	15	deep	deep	ADJ
bibechana-57736	245	16	learning	learning	NOUN
bibechana-57736	245	17	plus	plus	CCONJ
bibechana-57736	245	18	post	post	ADJ
bibechana-57736	245	19	-	-	ADJ
bibechana-57736	245	20	processing	processing	ADJ
bibechana-57736	245	21	techniques	technique	NOUN
bibechana-57736	245	22	.	.	PUNCT
bibechana-57736	246	1	j	j	PROPN
bibechana-57736	246	2	hydrol	hydrol	NOUN
bibechana-57736	246	3	(	(	PUNCT
bibechana-57736	246	4	amst	amst	PROPN
bibechana-57736	246	5	)	)	PUNCT
bibechana-57736	246	6	,	,	PUNCT
bibechana-57736	246	7	589:125164	589:125164	NOUN
bibechana-57736	246	8	,	,	PUNCT
bibechana-57736	246	9	oct	oct	NOUN
bibechana-57736	246	10	2020	2020	NUM
bibechana-57736	246	11	.	.	PUNCT
bibechana-57736	247	1	[	[	X
bibechana-57736	247	2	12	12	NUM
bibechana-57736	247	3	]	]	PUNCT
bibechana-57736	247	4	a.	a.	PROPN
bibechana-57736	247	5	el	el	PROPN
bibechana-57736	247	6	bilali	bilali	PROPN
bibechana-57736	247	7	,	,	PUNCT
bibechana-57736	247	8	h.	h.	PROPN
bibechana-57736	247	9	lamane	lamane	PROPN
bibechana-57736	247	10	,	,	PUNCT
bibechana-57736	247	11	a.	a.	NOUN
bibechana-57736	247	12	taleb	taleb	NOUN
bibechana-57736	247	13	,	,	PUNCT
bibechana-57736	247	14	and	and	CCONJ
bibechana-57736	247	15	a.	a.	NOUN
bibechana-57736	247	16	nafii	nafii	NOUN
bibechana-57736	247	17	.	.	PUNCT
bibechana-57736	248	1	a	a	DET
bibechana-57736	248	2	framework	framework	NOUN
bibechana-57736	248	3	based	base	VERB
bibechana-57736	248	4	on	on	ADP
bibechana-57736	248	5	multivariate	multivariate	NOUN
bibechana-57736	248	6	distribution	distribution	NOUN
bibechana-57736	248	7	-	-	PUNCT
bibechana-57736	248	8	based	base	VERB
bibechana-57736	248	9	virtual	virtual	ADJ
bibechana-57736	248	10	sample	sample	NOUN
bibechana-57736	248	11	generation	generation	NOUN
bibechana-57736	248	12	and	and	CCONJ
bibechana-57736	248	13	dnn	dnn	PROPN
bibechana-57736	248	14	for	for	ADP
bibechana-57736	248	15	predicting	predict	VERB
bibechana-57736	248	16	water	water	NOUN
bibechana-57736	248	17	quality	quality	NOUN
bibechana-57736	248	18	with	with	ADP
bibechana-57736	248	19	small	small	ADJ
bibechana-57736	248	20	data	datum	NOUN
bibechana-57736	248	21	.	.	PUNCT
bibechana-57736	249	1	j	j	PROPN
bibechana-57736	249	2	clean	clean	ADJ
bibechana-57736	249	3	prod	prod	NOUN
bibechana-57736	249	4	,	,	PUNCT
bibechana-57736	249	5	368:133227	368:133227	NUM
bibechana-57736	249	6	,	,	PUNCT
bibechana-57736	249	7	sep	sep	PROPN
bibechana-57736	249	8	2022	2022	NUM
bibechana-57736	249	9	.	.	PUNCT
bibechana-57736	250	1	[	[	X
bibechana-57736	250	2	13	13	NUM
bibechana-57736	250	3	]	]	PUNCT
bibechana-57736	250	4	j.	j.	PROPN
bibechana-57736	250	5	zhang	zhang	PROPN
bibechana-57736	250	6	,	,	PUNCT
bibechana-57736	250	7	y.	y.	PROPN
bibechana-57736	250	8	zheng	zheng	PROPN
bibechana-57736	250	9	,	,	PUNCT
bibechana-57736	250	10	d.	d.	PROPN
bibechana-57736	250	11	qi	qi	PROPN
bibechana-57736	250	12	,	,	PUNCT
bibechana-57736	250	13	r.	r.	PROPN
bibechana-57736	250	14	li	li	PROPN
bibechana-57736	250	15	,	,	PUNCT
bibechana-57736	250	16	and	and	CCONJ
bibechana-57736	250	17	x.	x.	PROPN
bibechana-57736	250	18	yi	yi	PROPN
bibechana-57736	250	19	.	.	PUNCT
bibechana-57736	251	1	dnn	dnn	PROPN
bibechana-57736	251	2	-	-	PUNCT
bibechana-57736	251	3	based	base	VERB
bibechana-57736	251	4	prediction	prediction	NOUN
bibechana-57736	251	5	model	model	NOUN
bibechana-57736	251	6	for	for	ADP
bibechana-57736	251	7	spatiotemporal	spatiotemporal	ADJ
bibechana-57736	251	8	data	datum	NOUN
bibechana-57736	251	9	.	.	PUNCT
bibechana-57736	252	1	in	in	ADP
bibechana-57736	252	2	proceedings	proceeding	NOUN
bibechana-57736	252	3	of	of	ADP
bibechana-57736	252	4	the	the	DET
bibechana-57736	252	5	24th	24th	ADJ
bibechana-57736	252	6	acm	acm	PROPN
bibechana-57736	252	7	sigspatial	sigspatial	NOUN
bibechana-57736	252	8	international	international	ADJ
bibechana-57736	252	9	conference	conference	NOUN
bibechana-57736	252	10	on	on	ADP
bibechana-57736	252	11	advances	advance	NOUN
bibechana-57736	252	12	in	in	ADP
bibechana-57736	252	13	geographic	geographic	ADJ
bibechana-57736	252	14	information	information	NOUN
bibechana-57736	252	15	systems	system	NOUN
bibechana-57736	252	16	,	,	PUNCT
bibechana-57736	252	17	pages	page	NOUN
bibechana-57736	252	18	1–4	1–4	PROPN
bibechana-57736	252	19	,	,	PUNCT
bibechana-57736	252	20	2016	2016	NUM
bibechana-57736	252	21	.	.	PUNCT
bibechana-57736	253	1	[	[	X
bibechana-57736	253	2	14	14	NUM
bibechana-57736	253	3	]	]	PUNCT
bibechana-57736	253	4	s.	s.	PROPN
bibechana-57736	253	5	liu	liu	PROPN
bibechana-57736	253	6	et	et	PROPN
bibechana-57736	253	7	al	al	PROPN
bibechana-57736	253	8	.	.	PROPN
bibechana-57736	253	9	anthropogenic	anthropogenic	ADJ
bibechana-57736	253	10	disturbances	disturbance	NOUN
bibechana-57736	253	11	on	on	ADP
bibechana-57736	253	12	distribution	distribution	NOUN
bibechana-57736	253	13	and	and	CCONJ
bibechana-57736	253	14	sources	source	NOUN
bibechana-57736	253	15	of	of	ADP
bibechana-57736	253	16	pharmaceuticals	pharmaceutical	NOUN
bibechana-57736	253	17	and	and	CCONJ
bibechana-57736	253	18	personal	personal	ADJ
bibechana-57736	253	19	care	care	NOUN
bibechana-57736	253	20	products	product	NOUN
bibechana-57736	253	21	throughout	throughout	ADP
bibechana-57736	253	22	the	the	DET
bibechana-57736	253	23	jinsha	jinsha	PROPN
bibechana-57736	253	24	river	river	PROPN
bibechana-57736	253	25	basin	basin	NOUN
bibechana-57736	253	26	,	,	PUNCT
bibechana-57736	253	27	china	china	PROPN
bibechana-57736	253	28	.	.	PUNCT
bibechana-57736	254	1	environ	environ	PROPN
bibechana-57736	254	2	res	res	PROPN
bibechana-57736	254	3	,	,	PUNCT
bibechana-57736	254	4	198:110449	198:110449	PROPN
bibechana-57736	254	5	,	,	PUNCT
bibechana-57736	254	6	jul	jul	PROPN
bibechana-57736	254	7	2021	2021	NUM
bibechana-57736	254	8	.	.	PUNCT
bibechana-57736	255	1	[	[	X
bibechana-57736	255	2	15	15	NUM
bibechana-57736	255	3	]	]	PUNCT
bibechana-57736	255	4	t.	t.	PROPN
bibechana-57736	255	5	deng	deng	PROPN
bibechana-57736	255	6	,	,	PUNCT
bibechana-57736	255	7	k.-w	k.-w	PROPN
bibechana-57736	255	8	.	.	PUNCT
bibechana-57736	255	9	chau	chau	PROPN
bibechana-57736	255	10	,	,	PUNCT
bibechana-57736	255	11	and	and	CCONJ
bibechana-57736	255	12	h.-f	h.-f	NOUN
bibechana-57736	255	13	.	.	PUNCT
bibechana-57736	256	1	duan	duan	PROPN
bibechana-57736	256	2	.	.	PROPN
bibechana-57736	256	3	machine	machine	NOUN
bibechana-57736	256	4	learning	learning	PROPN
bibechana-57736	256	5	based	base	VERB
bibechana-57736	256	6	marine	marine	ADJ
bibechana-57736	256	7	water	water	NOUN
bibechana-57736	256	8	quality	quality	NOUN
bibechana-57736	256	9	prediction	prediction	NOUN
bibechana-57736	256	10	for	for	ADP
bibechana-57736	256	11	coastal	coastal	ADJ
bibechana-57736	256	12	hydro	hydro	NOUN
bibechana-57736	256	13	-	-	PUNCT
bibechana-57736	256	14	environment	environment	NOUN
bibechana-57736	256	15	management	management	NOUN
bibechana-57736	256	16	.	.	PUNCT
bibechana-57736	257	1	j	j	PROPN
bibechana-57736	257	2	environ	environ	PROPN
bibechana-57736	257	3	manage	manage	VERB
bibechana-57736	257	4	,	,	PUNCT
bibechana-57736	257	5	284:112051	284:112051	NUM
bibechana-57736	257	6	,	,	PUNCT
bibechana-57736	257	7	apr	apr	NOUN
bibechana-57736	257	8	2021	2021	NUM
bibechana-57736	257	9	.	.	PUNCT
bibechana-57736	258	1	[	[	X
bibechana-57736	258	2	16	16	NUM
bibechana-57736	258	3	]	]	PUNCT
bibechana-57736	258	4	t.	t.	PROPN
bibechana-57736	258	5	xie	xie	PROPN
bibechana-57736	258	6	,	,	PUNCT
bibechana-57736	258	7	g.	g.	PROPN
bibechana-57736	258	8	zhang	zhang	PROPN
bibechana-57736	258	9	,	,	PUNCT
bibechana-57736	258	10	j.	j.	PROPN
bibechana-57736	258	11	hou	hou	PROPN
bibechana-57736	258	12	,	,	PUNCT
bibechana-57736	258	13	j.	j.	PROPN
bibechana-57736	258	14	xie	xie	PROPN
bibechana-57736	258	15	,	,	PUNCT
bibechana-57736	258	16	m.	m.	PROPN
bibechana-57736	258	17	lv	lv	PROPN
bibechana-57736	258	18	,	,	PUNCT
bibechana-57736	258	19	and	and	CCONJ
bibechana-57736	258	20	f.	f.	PROPN
bibechana-57736	258	21	liu	liu	PROPN
bibechana-57736	258	22	.	.	PUNCT
bibechana-57736	259	1	hybrid	hybrid	ADJ
bibechana-57736	259	2	forecasting	forecasting	NOUN
bibechana-57736	259	3	model	model	NOUN
bibechana-57736	259	4	for	for	ADP
bibechana-57736	259	5	nonstationary	nonstationary	ADJ
bibechana-57736	259	6	daily	daily	ADJ
bibechana-57736	259	7	runoff	runoff	NOUN
bibechana-57736	259	8	series	series	NOUN
bibechana-57736	259	9	:	:	PUNCT
bibechana-57736	259	10	a	a	DET
bibechana-57736	259	11	case	case	NOUN
bibechana-57736	259	12	study	study	NOUN
bibechana-57736	259	13	in	in	ADP
bibechana-57736	259	14	the	the	DET
bibechana-57736	259	15	han	han	PROPN
bibechana-57736	259	16	river	river	PROPN
bibechana-57736	259	17	basin	basin	PROPN
bibechana-57736	259	18	,	,	PUNCT
bibechana-57736	259	19	china	china	PROPN
bibechana-57736	259	20	.	.	PUNCT
bibechana-57736	260	1	j	j	PROPN
bibechana-57736	260	2	hydrol	hydrol	NOUN
bibechana-57736	260	3	(	(	PUNCT
bibechana-57736	260	4	amst	amst	PROPN
bibechana-57736	260	5	)	)	PUNCT
bibechana-57736	260	6	,	,	PUNCT
bibechana-57736	260	7	577:123915	577:123915	NUM
bibechana-57736	260	8	,	,	PUNCT
bibechana-57736	260	9	oct	oct	PROPN
bibechana-57736	260	10	2019	2019	NUM
bibechana-57736	260	11	.	.	PUNCT
bibechana-57736	261	1	[	[	X
bibechana-57736	261	2	17	17	NUM
bibechana-57736	261	3	]	]	PUNCT
bibechana-57736	261	4	k.	k.	PROPN
bibechana-57736	261	5	y.	y.	PROPN
bibechana-57736	261	6	jung	jung	PROPN
bibechana-57736	261	7	et	et	PROPN
bibechana-57736	261	8	al	al	PROPN
bibechana-57736	261	9	.	.	PUNCT
bibechana-57736	261	10	evaluation	evaluation	NOUN
bibechana-57736	261	11	of	of	ADP
bibechana-57736	261	12	water	water	NOUN
bibechana-57736	261	13	quality	quality	NOUN
bibechana-57736	261	14	for	for	ADP
bibechana-57736	261	15	the	the	DET
bibechana-57736	261	16	nakdong	nakdong	PROPN
bibechana-57736	261	17	river	river	NOUN
bibechana-57736	261	18	watershed	watershe	VERB
bibechana-57736	261	19	using	use	VERB
bibechana-57736	261	20	multivariate	multivariate	NOUN
bibechana-57736	261	21	analysis	analysis	NOUN
bibechana-57736	261	22	.	.	PUNCT
bibechana-57736	262	1	environ	environ	X
bibechana-57736	262	2	technol	technol	ADJ
bibechana-57736	262	3	innov	innov	NOUN
bibechana-57736	262	4	,	,	PUNCT
bibechana-57736	262	5	5:67	5:67	NUM
bibechana-57736	262	6	–	–	PUNCT
bibechana-57736	262	7	82	82	NUM
bibechana-57736	262	8	,	,	PUNCT
bibechana-57736	262	9	apr	apr	PROPN
bibechana-57736	262	10	2016	2016	NUM
bibechana-57736	262	11	.	.	PUNCT
bibechana-57736	263	1	pujan	pujan	PROPN
bibechana-57736	263	2	bashyal	bashyal	PROPN
bibechana-57736	263	3	et	et	PROPN
bibechana-57736	263	4	al./	al./	ADV
bibechana-57736	263	5	bibechana	bibechana	PROPN
bibechana-57736	263	6	20	20	NUM
bibechana-57736	263	7	(	(	PUNCT
bibechana-57736	263	8	2023	2023	NUM
bibechana-57736	263	9	)	)	PUNCT
bibechana-57736	263	10	248	248	NUM
bibechana-57736	263	11	-	-	SYM
bibechana-57736	263	12	258	258	NUM
bibechana-57736	263	13	258	258	NUM
bibechana-57736	264	1	[	[	X
bibechana-57736	264	2	18	18	NUM
bibechana-57736	264	3	]	]	PUNCT
bibechana-57736	264	4	v.	v.	CCONJ
bibechana-57736	264	5	senapathi	senapathi	PROPN
bibechana-57736	264	6	et	et	PROPN
bibechana-57736	264	7	al	al	PROPN
bibechana-57736	264	8	.	.	PROPN
bibechana-57736	264	9	assessment	assessment	NOUN
bibechana-57736	264	10	of	of	ADP
bibechana-57736	264	11	river	river	NOUN
bibechana-57736	264	12	water	water	NOUN
bibechana-57736	264	13	quality	quality	NOUN
bibechana-57736	264	14	via	via	ADP
bibechana-57736	264	15	environmentric	environmentric	ADJ
bibechana-57736	264	16	multivariate	multivariate	NOUN
bibechana-57736	264	17	statistical	statistical	ADJ
bibechana-57736	264	18	tools	tool	NOUN
bibechana-57736	264	19	and	and	CCONJ
bibechana-57736	264	20	water	water	NOUN
bibechana-57736	264	21	quality	quality	NOUN
bibechana-57736	264	22	index	index	NOUN
bibechana-57736	264	23	:	:	PUNCT
bibechana-57736	264	24	a	a	DET
bibechana-57736	264	25	case	case	NOUN
bibechana-57736	264	26	study	study	NOUN
bibechana-57736	264	27	of	of	ADP
bibechana-57736	264	28	nakdong	nakdong	PROPN
bibechana-57736	264	29	river	river	PROPN
bibechana-57736	264	30	basin	basin	PROPN
bibechana-57736	264	31	,	,	PUNCT
bibechana-57736	264	32	korea	korea	PROPN
bibechana-57736	264	33	.	.	PUNCT
bibechana-57736	265	1	2014	2014	NUM
bibechana-57736	265	2	.	.	PUNCT
bibechana-57736	266	1	[	[	X
bibechana-57736	266	2	19	19	NUM
bibechana-57736	266	3	]	]	X
bibechana-57736	266	4	h.	h.	PROPN
bibechana-57736	266	5	zhuhua	zhuhua	PROPN
bibechana-57736	266	6	et	et	PROPN
bibechana-57736	266	7	al	al	PROPN
bibechana-57736	266	8	.	.	PUNCT
bibechana-57736	267	1	a	a	DET
bibechana-57736	267	2	water	water	NOUN
bibechana-57736	267	3	quality	quality	NOUN
bibechana-57736	267	4	prediction	prediction	NOUN
bibechana-57736	267	5	method	method	NOUN
bibechana-57736	267	6	based	base	VERB
bibechana-57736	267	7	on	on	ADP
bibechana-57736	267	8	the	the	DET
bibechana-57736	267	9	deep	deep	ADJ
bibechana-57736	267	10	lstm	lstm	NOUN
bibechana-57736	267	11	network	network	NOUN
bibechana-57736	267	12	considering	consider	VERB
bibechana-57736	267	13	correlation	correlation	NOUN
bibechana-57736	267	14	in	in	ADP
bibechana-57736	267	15	smart	smart	ADJ
bibechana-57736	267	16	mariculture	mariculture	NOUN
bibechana-57736	267	17	.	.	PUNCT
bibechana-57736	268	1	sensors	sensor	NOUN
bibechana-57736	268	2	(	(	PUNCT
bibechana-57736	268	3	basel	basel	PROPN
bibechana-57736	268	4	)	)	PUNCT
bibechana-57736	268	5	,	,	PUNCT
bibechana-57736	268	6	19(6):1420	19(6):1420	NUM
bibechana-57736	268	7	,	,	PUNCT
bibechana-57736	268	8	2019	2019	NUM
bibechana-57736	268	9	.	.	PUNCT
bibechana-57736	269	1	[	[	X
bibechana-57736	269	2	20	20	NUM
bibechana-57736	269	3	]	]	X
bibechana-57736	269	4	l.	l.	PROPN
bibechana-57736	269	5	ping	ping	PROPN
bibechana-57736	269	6	et	et	PROPN
bibechana-57736	269	7	al	al	PROPN
bibechana-57736	269	8	.	.	PUNCT
bibechana-57736	269	9	analysis	analysis	NOUN
bibechana-57736	269	10	and	and	CCONJ
bibechana-57736	269	11	prediction	prediction	NOUN
bibechana-57736	269	12	of	of	ADP
bibechana-57736	269	13	water	water	NOUN
bibechana-57736	269	14	quality	quality	NOUN
bibechana-57736	269	15	using	use	VERB
bibechana-57736	269	16	lstm	lstm	NOUN
bibechana-57736	269	17	deep	deep	ADJ
bibechana-57736	269	18	neural	neural	ADJ
bibechana-57736	269	19	networks	network	NOUN
bibechana-57736	269	20	in	in	ADP
bibechana-57736	269	21	iot	iot	PROPN
bibechana-57736	269	22	environment	environment	NOUN
bibechana-57736	269	23	.	.	PUNCT
bibechana-57736	270	1	sustainability	sustainability	NOUN
bibechana-57736	270	2	,	,	PUNCT
bibechana-57736	270	3	11(7	11(7	NUM
bibechana-57736	270	4	)	)	PUNCT
bibechana-57736	270	5	,	,	PUNCT
bibechana-57736	270	6	2019	2019	NUM
bibechana-57736	270	7	.	.	PUNCT
bibechana-57736	271	1	[	[	X
bibechana-57736	271	2	21	21	NUM
bibechana-57736	271	3	]	]	X
bibechana-57736	271	4	j.	j.	PROPN
bibechana-57736	271	5	yigi	yigi	PROPN
bibechana-57736	271	6	et	et	PROPN
bibechana-57736	271	7	al	al	PROPN
bibechana-57736	271	8	.	.	PROPN
bibechana-57736	271	9	accurate	accurate	ADJ
bibechana-57736	271	10	prediction	prediction	NOUN
bibechana-57736	271	11	of	of	ADP
bibechana-57736	271	12	water	water	NOUN
bibechana-57736	271	13	quality	quality	NOUN
bibechana-57736	271	14	in	in	ADP
bibechana-57736	271	15	urban	urban	ADJ
bibechana-57736	271	16	drainage	drainage	NOUN
bibechana-57736	271	17	network	network	NOUN
bibechana-57736	271	18	with	with	ADP
bibechana-57736	271	19	integrated	integrate	VERB
bibechana-57736	271	20	emd	emd	PROPN
bibechana-57736	271	21	-	-	PUNCT
bibechana-57736	271	22	lstm	lstm	PROPN
bibechana-57736	271	23	model	model	NOUN
bibechana-57736	271	24	.	.	PUNCT
bibechana-57736	272	1	journal	journal	PROPN
bibechana-57736	272	2	of	of	ADP
bibechana-57736	272	3	cleaner	clean	ADJ
bibechana-57736	272	4	production	production	NOUN
bibechana-57736	272	5	,	,	PUNCT
bibechana-57736	272	6	354:131724	354:131724	NUM
bibechana-57736	272	7	,	,	PUNCT
bibechana-57736	272	8	2022	2022	NUM
bibechana-57736	272	9	.	.	PUNCT
bibechana-57736	273	1	[	[	X
bibechana-57736	273	2	22	22	NUM
bibechana-57736	273	3	]	]	X
bibechana-57736	273	4	b.	b.	PROPN
bibechana-57736	273	5	k.	k.	PROPN
bibechana-57736	273	6	mishra	mishra	PROPN
bibechana-57736	273	7	et	et	PROPN
bibechana-57736	273	8	al	al	PROPN
bibechana-57736	273	9	.	.	PROPN
bibechana-57736	273	10	assessment	assessment	NOUN
bibechana-57736	273	11	of	of	ADP
bibechana-57736	273	12	bagmati	bagmati	PROPN
bibechana-57736	273	13	river	river	PROPN
bibechana-57736	273	14	pollution	pollution	NOUN
bibechana-57736	273	15	in	in	ADP
bibechana-57736	273	16	kathmandu	kathmandu	PROPN
bibechana-57736	273	17	valley	valley	NOUN
bibechana-57736	273	18	:	:	PUNCT
bibechana-57736	273	19	scenario	scenario	NOUN
bibechana-57736	273	20	-	-	PUNCT
bibechana-57736	273	21	based	base	VERB
bibechana-57736	273	22	modeling	modeling	NOUN
bibechana-57736	273	23	and	and	CCONJ
bibechana-57736	273	24	analysis	analysis	NOUN
bibechana-57736	273	25	for	for	ADP
bibechana-57736	273	26	sustainable	sustainable	ADJ
bibechana-57736	273	27	urban	urban	ADJ
bibechana-57736	273	28	development	development	NOUN
bibechana-57736	273	29	.	.	PUNCT
bibechana-57736	274	1	sustainability	sustainability	NOUN
bibechana-57736	274	2	of	of	ADP
bibechana-57736	274	3	water	water	NOUN
bibechana-57736	274	4	quality	quality	NOUN
bibechana-57736	274	5	and	and	CCONJ
bibechana-57736	274	6	ecology	ecology	NOUN
bibechana-57736	274	7	,	,	PUNCT
bibechana-57736	274	8	9–10:67–77	9–10:67–77	NUM
bibechana-57736	274	9	,	,	PUNCT
bibechana-57736	274	10	2017	2017	NUM
bibechana-57736	274	11	.	.	PUNCT
bibechana-57736	275	1	introduction	introduction	NOUN
bibechana-57736	275	2	research	research	NOUN
bibechana-57736	275	3	background	background	NOUN
bibechana-57736	275	4	methodology	methodology	NOUN
bibechana-57736	275	5	environmental	environmental	ADJ
bibechana-57736	275	6	setup	setup	NOUN
bibechana-57736	275	7	data	datum	NOUN
bibechana-57736	275	8	collection	collection	NOUN
bibechana-57736	275	9	and	and	CCONJ
bibechana-57736	275	10	analysis	analysis	NOUN
bibechana-57736	275	11	model	model	NOUN
bibechana-57736	275	12	development	development	PROPN
bibechana-57736	275	13	arima	arima	PROPN
bibechana-57736	275	14	lstm	lstm	PROPN
bibechana-57736	275	15	dnn	dnn	PROPN
bibechana-57736	275	16	model	model	NOUN
bibechana-57736	275	17	training	training	NOUN
bibechana-57736	275	18	results	result	NOUN
bibechana-57736	275	19	and	and	CCONJ
bibechana-57736	275	20	discussion	discussion	NOUN
bibechana-57736	275	21	arima	arima	PROPN
bibechana-57736	275	22	model	model	PROPN
bibechana-57736	275	23	lstm	lstm	PROPN
bibechana-57736	275	24	model	model	PROPN
bibechana-57736	275	25	dnn	dnn	PROPN
bibechana-57736	275	26	model	model	PROPN
bibechana-57736	275	27	conclusion	conclusion	NOUN