id	sid	tid	token	lemma	pos
brj-23470	1	1	peer	peer	NOUN
brj-23470	1	2	-	-	PUNCT
brj-23470	1	3	review	review	NOUN
brj-23470	1	4	article	article	NOUN
brj-23470	1	5	peer	peer	NOUN
brj-23470	1	6	-	-	PUNCT
brj-23470	1	7	reviewed	review	VERB
brj-23470	1	8	article	article	NOUN
brj-23470	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	1	10	zhang	zhang	PROPN
brj-23470	1	11	et	et	PROPN
brj-23470	1	12	al	al	PROPN
brj-23470	1	13	.	.	PROPN
brj-23470	2	1	(	(	PUNCT
brj-23470	2	2	2024	2024	NUM
brj-23470	2	3	)	)	PUNCT
brj-23470	2	4	.	.	PUNCT
brj-23470	3	1	“	"	PUNCT
brj-23470	3	2	activated	activate	VERB
brj-23470	3	3	carbon	carbon	NOUN
brj-23470	3	4	from	from	ADP
brj-23470	3	5	sludge	sludge	NOUN
brj-23470	3	6	,	,	PUNCT
brj-23470	3	7	”	"	PUNCT
brj-23470	3	8	bioresources	bioresource	NOUN
brj-23470	3	9	19(3	19(3	NUM
brj-23470	3	10	)	)	PUNCT
brj-23470	3	11	,	,	PUNCT
brj-23470	3	12	4941	4941	NUM
brj-23470	3	13	-	-	SYM
brj-23470	3	14	4959	4959	NUM
brj-23470	3	15	.	.	PUNCT
brj-23470	4	1	4941	4941	NUM
brj-23470	5	1	the	the	DET
brj-23470	5	2	eutrophication	eutrophication	NOUN
brj-23470	5	3	-	-	PUNCT
brj-23470	5	4	related	relate	VERB
brj-23470	5	5	index	index	NOUN
brj-23470	5	6	of	of	ADP
brj-23470	5	7	drinking	drinking	NOUN
brj-23470	5	8	water	water	NOUN
brj-23470	5	9	sources	source	NOUN
brj-23470	5	10	based	base	VERB
brj-23470	5	11	on	on	ADP
brj-23470	5	12	the	the	DET
brj-23470	5	13	oxidation	oxidation	NOUN
brj-23470	5	14	-	-	PUNCT
brj-23470	5	15	reduction	reduction	NOUN
brj-23470	5	16	potential	potential	NOUN
brj-23470	5	17	wen	wen	PROPN
brj-23470	5	18	zhang	zhang	PROPN
brj-23470	5	19	,	,	PUNCT
brj-23470	5	20	a	a	DET
brj-23470	5	21	jiaxin	jiaxin	PROPN
brj-23470	5	22	zhu	zhu	PROPN
brj-23470	5	23	,	,	PUNCT
brj-23470	5	24	a	a	DET
brj-23470	5	25	zhiwei	zhiwei	PROPN
brj-23470	5	26	liu	liu	PROPN
brj-23470	5	27	,	,	PUNCT
brj-23470	5	28	b	b	PROPN
brj-23470	5	29	and	and	CCONJ
brj-23470	5	30	li	li	PROPN
brj-23470	5	31	liu	liu	PROPN
brj-23470	5	32	a	a	PROPN
brj-23470	5	33	,	,	PUNCT
brj-23470	5	34	*	*	PUNCT
brj-23470	5	35	eutrophication	eutrophication	NOUN
brj-23470	5	36	caused	cause	VERB
brj-23470	5	37	by	by	ADP
brj-23470	5	38	excessive	excessive	ADJ
brj-23470	5	39	nitrogen	nitrogen	NOUN
brj-23470	5	40	and	and	CCONJ
brj-23470	5	41	phosphorus	phosphorus	NOUN
brj-23470	5	42	is	be	AUX
brj-23470	5	43	an	an	DET
brj-23470	5	44	important	important	ADJ
brj-23470	5	45	factor	factor	NOUN
brj-23470	5	46	affecting	affect	VERB
brj-23470	5	47	water	water	NOUN
brj-23470	5	48	quality	quality	NOUN
brj-23470	5	49	in	in	ADP
brj-23470	5	50	drinking	drinking	NOUN
brj-23470	5	51	water	water	NOUN
brj-23470	5	52	sources	source	NOUN
brj-23470	5	53	.	.	PUNCT
brj-23470	6	1	convenient	convenient	ADJ
brj-23470	6	2	monitoring	monitoring	NOUN
brj-23470	6	3	of	of	ADP
brj-23470	6	4	eutrophication	eutrophication	NOUN
brj-23470	6	5	in	in	ADP
brj-23470	6	6	water	water	NOUN
brj-23470	6	7	bodies	body	NOUN
brj-23470	6	8	can	can	AUX
brj-23470	6	9	reduce	reduce	VERB
brj-23470	6	10	the	the	DET
brj-23470	6	11	use	use	NOUN
brj-23470	6	12	of	of	ADP
brj-23470	6	13	pesticides	pesticide	NOUN
brj-23470	6	14	and	and	CCONJ
brj-23470	6	15	reduce	reduce	VERB
brj-23470	6	16	energy	energy	NOUN
brj-23470	6	17	consumption	consumption	NOUN
brj-23470	6	18	,	,	PUNCT
brj-23470	6	19	helping	help	VERB
brj-23470	6	20	to	to	PART
brj-23470	6	21	promote	promote	VERB
brj-23470	6	22	ecological	ecological	ADJ
brj-23470	6	23	and	and	CCONJ
brj-23470	6	24	economic	economic	ADJ
brj-23470	6	25	development	development	NOUN
brj-23470	6	26	.	.	PUNCT
brj-23470	7	1	this	this	DET
brj-23470	7	2	study	study	NOUN
brj-23470	7	3	examined	examine	VERB
brj-23470	7	4	the	the	DET
brj-23470	7	5	relationship	relationship	NOUN
brj-23470	7	6	between	between	ADP
brj-23470	7	7	water	water	NOUN
brj-23470	7	8	eutrophication	eutrophication	NOUN
brj-23470	7	9	and	and	CCONJ
brj-23470	7	10	the	the	DET
brj-23470	7	11	oxidation	oxidation	NOUN
brj-23470	7	12	-	-	PUNCT
brj-23470	7	13	reduction	reduction	NOUN
brj-23470	7	14	potential	potential	NOUN
brj-23470	7	15	(	(	PUNCT
brj-23470	7	16	orp	orp	PROPN
brj-23470	7	17	)	)	PUNCT
brj-23470	7	18	.	.	PUNCT
brj-23470	8	1	the	the	DET
brj-23470	8	2	results	result	NOUN
brj-23470	8	3	showed	show	VERB
brj-23470	8	4	that	that	SCONJ
brj-23470	8	5	various	various	ADJ
brj-23470	8	6	parameters	parameter	NOUN
brj-23470	8	7	related	relate	VERB
brj-23470	8	8	to	to	ADP
brj-23470	8	9	eutrophication	eutrophication	NOUN
brj-23470	8	10	,	,	PUNCT
brj-23470	8	11	such	such	ADJ
brj-23470	8	12	as	as	ADP
brj-23470	8	13	ammonia	ammonia	ADJ
brj-23470	8	14	nitrogen	nitrogen	NOUN
brj-23470	8	15	,	,	PUNCT
brj-23470	8	16	total	total	ADJ
brj-23470	8	17	nitrogen	nitrogen	NOUN
brj-23470	8	18	,	,	PUNCT
brj-23470	8	19	total	total	ADJ
brj-23470	8	20	phosphorus	phosphorus	NOUN
brj-23470	8	21	,	,	PUNCT
brj-23470	8	22	chlorophyll	chlorophyll	NOUN
brj-23470	8	23	-	-	PUNCT
brj-23470	8	24	a	a	NOUN
brj-23470	8	25	,	,	PUNCT
brj-23470	8	26	and	and	CCONJ
brj-23470	8	27	cyanobacteria	cyanobacteria	NOUN
brj-23470	8	28	,	,	PUNCT
brj-23470	8	29	had	have	VERB
brj-23470	8	30	correlations	correlation	NOUN
brj-23470	8	31	with	with	ADP
brj-23470	8	32	orp	orp	PROPN
brj-23470	8	33	.	.	PUNCT
brj-23470	9	1	there	there	PRON
brj-23470	9	2	is	be	VERB
brj-23470	9	3	a	a	DET
brj-23470	9	4	close	close	ADJ
brj-23470	9	5	relationship	relationship	NOUN
brj-23470	9	6	between	between	ADP
brj-23470	9	7	eutrophication	eutrophication	NOUN
brj-23470	9	8	and	and	CCONJ
brj-23470	9	9	the	the	DET
brj-23470	9	10	concentration	concentration	NOUN
brj-23470	9	11	of	of	ADP
brj-23470	9	12	cyanobacteria	cyanobacteria	NOUN
brj-23470	9	13	.	.	PUNCT
brj-23470	10	1	when	when	SCONJ
brj-23470	10	2	cyanobacteria	cyanobacteria	NOUN
brj-23470	10	3	blooms	bloom	NOUN
brj-23470	10	4	occur	occur	VERB
brj-23470	10	5	in	in	ADP
brj-23470	10	6	the	the	DET
brj-23470	10	7	drinking	drinking	NOUN
brj-23470	10	8	water	water	NOUN
brj-23470	10	9	source	source	NOUN
brj-23470	10	10	,	,	PUNCT
brj-23470	10	11	it	it	PRON
brj-23470	10	12	may	may	AUX
brj-23470	10	13	contaminate	contaminate	VERB
brj-23470	10	14	the	the	DET
brj-23470	10	15	drinking	drinking	NOUN
brj-23470	10	16	water	water	NOUN
brj-23470	10	17	.	.	PUNCT
brj-23470	11	1	because	because	SCONJ
brj-23470	11	2	the	the	DET
brj-23470	11	3	conventional	conventional	ADJ
brj-23470	11	4	eutrophication	eutrophication	NOUN
brj-23470	11	5	index	index	NOUN
brj-23470	11	6	does	do	AUX
brj-23470	11	7	not	not	PART
brj-23470	11	8	include	include	VERB
brj-23470	11	9	the	the	DET
brj-23470	11	10	concentration	concentration	NOUN
brj-23470	11	11	of	of	ADP
brj-23470	11	12	cyanobacteria	cyanobacteria	NOUN
brj-23470	11	13	,	,	PUNCT
brj-23470	11	14	principal	principal	ADJ
brj-23470	11	15	component	component	NOUN
brj-23470	11	16	analysis	analysis	NOUN
brj-23470	11	17	(	(	PUNCT
brj-23470	11	18	pca	pca	NOUN
brj-23470	11	19	)	)	PUNCT
brj-23470	11	20	was	be	AUX
brj-23470	11	21	utilized	utilize	VERB
brj-23470	11	22	to	to	PART
brj-23470	11	23	comprehensively	comprehensively	ADV
brj-23470	11	24	analyze	analyze	VERB
brj-23470	11	25	these	these	DET
brj-23470	11	26	eutrophication	eutrophication	NOUN
brj-23470	11	27	-	-	PUNCT
brj-23470	11	28	related	relate	VERB
brj-23470	11	29	parameters	parameter	NOUN
brj-23470	11	30	and	and	CCONJ
brj-23470	11	31	obtain	obtain	VERB
brj-23470	11	32	the	the	DET
brj-23470	11	33	eutrophication	eutrophication	NOUN
brj-23470	11	34	-	-	PUNCT
brj-23470	11	35	related	relate	VERB
brj-23470	11	36	index	index	NOUN
brj-23470	11	37	,	,	PUNCT
brj-23470	11	38	with	with	ADP
brj-23470	11	39	the	the	DET
brj-23470	11	40	cumulative	cumulative	ADJ
brj-23470	11	41	contribution	contribution	NOUN
brj-23470	11	42	of	of	ADP
brj-23470	11	43	principal	principal	ADJ
brj-23470	11	44	components	component	NOUN
brj-23470	11	45	reaching	reach	VERB
brj-23470	11	46	81.8	81.8	NUM
brj-23470	11	47	%	%	NOUN
brj-23470	11	48	.	.	PUNCT
brj-23470	12	1	different	different	ADJ
brj-23470	12	2	mathematical	mathematical	ADJ
brj-23470	12	3	methods	method	NOUN
brj-23470	12	4	such	such	ADJ
brj-23470	12	5	as	as	ADP
brj-23470	12	6	neural	neural	ADJ
brj-23470	12	7	network	network	NOUN
brj-23470	12	8	model	model	NOUN
brj-23470	12	9	and	and	CCONJ
brj-23470	12	10	mathematical	mathematical	ADJ
brj-23470	12	11	fitting	fitting	NOUN
brj-23470	12	12	were	be	AUX
brj-23470	12	13	used	use	VERB
brj-23470	12	14	to	to	PART
brj-23470	12	15	study	study	VERB
brj-23470	12	16	the	the	DET
brj-23470	12	17	relationship	relationship	NOUN
brj-23470	12	18	between	between	ADP
brj-23470	12	19	orp	orp	PROPN
brj-23470	12	20	and	and	CCONJ
brj-23470	12	21	the	the	DET
brj-23470	12	22	eutrophication	eutrophication	NOUN
brj-23470	12	23	-	-	PUNCT
brj-23470	12	24	related	relate	VERB
brj-23470	12	25	index	index	NOUN
brj-23470	12	26	.	.	PUNCT
brj-23470	13	1	a	a	DET
brj-23470	13	2	threesegment	threesegment	ADJ
brj-23470	13	3	relationship	relationship	NOUN
brj-23470	13	4	between	between	ADP
brj-23470	13	5	the	the	DET
brj-23470	13	6	orp	orp	PROPN
brj-23470	13	7	and	and	CCONJ
brj-23470	13	8	the	the	DET
brj-23470	13	9	index	index	NOUN
brj-23470	13	10	was	be	AUX
brj-23470	13	11	established	establish	VERB
brj-23470	13	12	.	.	PUNCT
brj-23470	14	1	this	this	DET
brj-23470	14	2	three	three	NUM
brj-23470	14	3	-	-	PUNCT
brj-23470	14	4	stage	stage	NOUN
brj-23470	14	5	relationship	relationship	NOUN
brj-23470	14	6	was	be	AUX
brj-23470	14	7	confirmed	confirm	VERB
brj-23470	14	8	in	in	ADP
brj-23470	14	9	different	different	ADJ
brj-23470	14	10	reservoirs	reservoir	NOUN
brj-23470	14	11	.	.	PUNCT
brj-23470	15	1	doi	doi	NOUN
brj-23470	15	2	:	:	PUNCT
brj-23470	15	3	10.15376	10.15376	NUM
brj-23470	15	4	/	/	SYM
brj-23470	15	5	biores.19.3.4941	biores.19.3.4941	PROPN
brj-23470	15	6	-	-	PUNCT
brj-23470	15	7	4959	4959	NUM
brj-23470	15	8	keywords	keyword	NOUN
brj-23470	15	9	:	:	PUNCT
brj-23470	15	10	water	water	NOUN
brj-23470	15	11	quality	quality	NOUN
brj-23470	15	12	;	;	PUNCT
brj-23470	15	13	nutrients	nutrient	NOUN
brj-23470	15	14	;	;	PUNCT
brj-23470	15	15	orp	orp	X
brj-23470	15	16	;	;	PUNCT
brj-23470	15	17	eutrophication	eutrophication	NOUN
brj-23470	15	18	;	;	PUNCT
brj-23470	15	19	drinking	drink	VERB
brj-23470	15	20	water	water	NOUN
brj-23470	15	21	source	source	NOUN
brj-23470	15	22	contact	contact	NOUN
brj-23470	15	23	information	information	NOUN
brj-23470	15	24	:	:	PUNCT
brj-23470	15	25	a	a	DET
brj-23470	15	26	:	:	PUNCT
brj-23470	15	27	key	key	ADJ
brj-23470	15	28	laboratory	laboratory	NOUN
brj-23470	15	29	of	of	ADP
brj-23470	15	30	pollution	pollution	NOUN
brj-23470	15	31	exposure	exposure	NOUN
brj-23470	15	32	and	and	CCONJ
brj-23470	15	33	health	health	NOUN
brj-23470	15	34	intervention	intervention	NOUN
brj-23470	15	35	of	of	ADP
brj-23470	15	36	zhejiang	zhejiang	PROPN
brj-23470	15	37	province	province	PROPN
brj-23470	15	38	,	,	PUNCT
brj-23470	15	39	college	college	NOUN
brj-23470	15	40	of	of	ADP
brj-23470	15	41	biology	biology	NOUN
brj-23470	15	42	and	and	CCONJ
brj-23470	15	43	environmental	environmental	ADJ
brj-23470	15	44	engineering	engineering	NOUN
brj-23470	15	45	,	,	PUNCT
brj-23470	15	46	zhejiang	zhejiang	PROPN
brj-23470	15	47	shuren	shuren	PROPN
brj-23470	15	48	university	university	PROPN
brj-23470	15	49	,	,	PUNCT
brj-23470	15	50	hangzhou	hangzhou	PROPN
brj-23470	15	51	310015	310015	NUM
brj-23470	15	52	,	,	PUNCT
brj-23470	15	53	zhejiang	zhejiang	PROPN
brj-23470	15	54	province	province	PROPN
brj-23470	15	55	,	,	PUNCT
brj-23470	15	56	china	china	PROPN
brj-23470	15	57	;	;	PUNCT
brj-23470	15	58	b	b	X
brj-23470	15	59	:	:	PUNCT
brj-23470	15	60	college	college	NOUN
brj-23470	15	61	of	of	ADP
brj-23470	15	62	environment	environment	NOUN
brj-23470	15	63	and	and	CCONJ
brj-23470	15	64	chemical	chemical	NOUN
brj-23470	15	65	engineering	engineering	NOUN
brj-23470	15	66	,	,	PUNCT
brj-23470	15	67	yanshan	yanshan	ADP
brj-23470	15	68	university	university	NOUN
brj-23470	15	69	,	,	PUNCT
brj-23470	15	70	qinhuangdao	qinhuangdao	PROPN
brj-23470	15	71	066004	066004	NUM
brj-23470	15	72	,	,	PUNCT
brj-23470	15	73	hebei	hebei	PROPN
brj-23470	15	74	province	province	PROPN
brj-23470	15	75	,	,	PUNCT
brj-23470	15	76	china	china	PROPN
brj-23470	15	77	;	;	PUNCT
brj-23470	15	78	*	*	PUNCT
brj-23470	15	79	corresponding	correspond	VERB
brj-23470	15	80	author	author	NOUN
brj-23470	15	81	:	:	PUNCT
brj-23470	15	82	casliuli@hotmail.com	casliuli@hotmail.com	X
brj-23470	15	83	introduction	introduction	NOUN
brj-23470	15	84	with	with	ADP
brj-23470	15	85	the	the	DET
brj-23470	15	86	development	development	NOUN
brj-23470	15	87	of	of	ADP
brj-23470	15	88	the	the	DET
brj-23470	15	89	social	social	ADJ
brj-23470	15	90	economy	economy	NOUN
brj-23470	15	91	,	,	PUNCT
brj-23470	15	92	water	water	NOUN
brj-23470	15	93	pollution	pollution	NOUN
brj-23470	15	94	has	have	AUX
brj-23470	15	95	become	become	VERB
brj-23470	15	96	increasingly	increasingly	ADV
brj-23470	15	97	serious	serious	ADJ
brj-23470	15	98	,	,	PUNCT
brj-23470	15	99	posing	pose	VERB
brj-23470	15	100	a	a	DET
brj-23470	15	101	primary	primary	ADJ
brj-23470	15	102	threat	threat	NOUN
brj-23470	15	103	to	to	ADP
brj-23470	15	104	the	the	DET
brj-23470	15	105	safety	safety	NOUN
brj-23470	15	106	of	of	ADP
brj-23470	15	107	drinking	drink	VERB
brj-23470	15	108	water	water	NOUN
brj-23470	15	109	sources	source	NOUN
brj-23470	15	110	.	.	PUNCT
brj-23470	16	1	contaminant	contaminant	NOUN
brj-23470	16	2	of	of	ADP
brj-23470	16	3	water	water	NOUN
brj-23470	16	4	sources	source	NOUN
brj-23470	16	5	directly	directly	ADV
brj-23470	16	6	affects	affect	VERB
brj-23470	16	7	people	people	NOUN
brj-23470	16	8	’s	’s	PART
brj-23470	16	9	health	health	NOUN
brj-23470	16	10	and	and	CCONJ
brj-23470	16	11	immediate	immediate	ADJ
brj-23470	16	12	interests	interest	NOUN
brj-23470	16	13	.	.	PUNCT
brj-23470	17	1	for	for	ADP
brj-23470	17	2	instance	instance	NOUN
brj-23470	17	3	,	,	PUNCT
brj-23470	17	4	long	long	ADJ
brj-23470	17	5	-	-	PUNCT
brj-23470	17	6	term	term	NOUN
brj-23470	17	7	consumption	consumption	NOUN
brj-23470	17	8	of	of	ADP
brj-23470	17	9	water	water	NOUN
brj-23470	17	10	containing	contain	VERB
brj-23470	17	11	nitrate	nitrate	NOUN
brj-23470	17	12	pollutants	pollutant	NOUN
brj-23470	17	13	has	have	AUX
brj-23470	17	14	been	be	AUX
brj-23470	17	15	associated	associate	VERB
brj-23470	17	16	with	with	ADP
brj-23470	17	17	a	a	DET
brj-23470	17	18	significant	significant	ADJ
brj-23470	17	19	increase	increase	NOUN
brj-23470	17	20	in	in	ADP
brj-23470	17	21	gastric	gastric	ADJ
brj-23470	17	22	cancer	cancer	NOUN
brj-23470	17	23	incidence	incidence	NOUN
brj-23470	17	24	(	(	PUNCT
brj-23470	17	25	fijani	fijani	NOUN
brj-23470	17	26	et	et	PROPN
brj-23470	17	27	al	al	PROPN
brj-23470	17	28	.	.	PROPN
brj-23470	17	29	2019	2019	NUM
brj-23470	17	30	)	)	PUNCT
brj-23470	17	31	.	.	PUNCT
brj-23470	18	1	drinking	drink	VERB
brj-23470	18	2	water	water	NOUN
brj-23470	18	3	with	with	ADP
brj-23470	18	4	high	high	ADJ
brj-23470	18	5	levels	level	NOUN
brj-23470	18	6	of	of	ADP
brj-23470	18	7	ammonia	ammonia	NOUN
brj-23470	18	8	can	can	AUX
brj-23470	18	9	cause	cause	VERB
brj-23470	18	10	symptoms	symptom	NOUN
brj-23470	18	11	such	such	ADJ
brj-23470	18	12	as	as	ADP
brj-23470	18	13	oral	oral	ADJ
brj-23470	18	14	mucosal	mucosal	NOUN
brj-23470	18	15	erosion	erosion	NOUN
brj-23470	18	16	,	,	PUNCT
brj-23470	18	17	edema	edema	NOUN
brj-23470	18	18	,	,	PUNCT
brj-23470	18	19	and	and	CCONJ
brj-23470	18	20	dizziness	dizziness	NOUN
brj-23470	18	21	(	(	PUNCT
brj-23470	18	22	wang	wang	PROPN
brj-23470	18	23	et	et	PROPN
brj-23470	18	24	al	al	PROPN
brj-23470	18	25	.	.	PROPN
brj-23470	18	26	2018	2018	NUM
brj-23470	18	27	)	)	PUNCT
brj-23470	18	28	.	.	PUNCT
brj-23470	19	1	moreover	moreover	ADV
brj-23470	19	2	,	,	PUNCT
brj-23470	19	3	eutrophication	eutrophication	NOUN
brj-23470	19	4	of	of	ADP
brj-23470	19	5	water	water	NOUN
brj-23470	19	6	sources	source	NOUN
brj-23470	19	7	,	,	PUNCT
brj-23470	19	8	characterized	characterize	VERB
brj-23470	19	9	by	by	ADP
brj-23470	19	10	excessive	excessive	ADJ
brj-23470	19	11	growth	growth	NOUN
brj-23470	19	12	of	of	ADP
brj-23470	19	13	algae	algae	NOUN
brj-23470	19	14	,	,	PUNCT
brj-23470	19	15	can	can	AUX
brj-23470	19	16	lead	lead	VERB
brj-23470	19	17	to	to	ADP
brj-23470	19	18	the	the	DET
brj-23470	19	19	production	production	NOUN
brj-23470	19	20	of	of	ADP
brj-23470	19	21	algal	algal	ADJ
brj-23470	19	22	toxins	toxin	NOUN
brj-23470	19	23	.	.	PUNCT
brj-23470	20	1	drinking	drink	VERB
brj-23470	20	2	water	water	NOUN
brj-23470	20	3	contaminated	contaminate	VERB
brj-23470	20	4	with	with	ADP
brj-23470	20	5	algal	algal	ADJ
brj-23470	20	6	toxins	toxin	NOUN
brj-23470	20	7	can	can	AUX
brj-23470	20	8	cause	cause	VERB
brj-23470	20	9	gastrointestinal	gastrointestinal	ADJ
brj-23470	20	10	diseases	disease	NOUN
brj-23470	20	11	and	and	CCONJ
brj-23470	20	12	even	even	ADV
brj-23470	20	13	have	have	VERB
brj-23470	20	14	teratogenic	teratogenic	ADJ
brj-23470	20	15	and	and	CCONJ
brj-23470	20	16	mutagenic	mutagenic	ADJ
brj-23470	20	17	effects	effect	NOUN
brj-23470	20	18	(	(	PUNCT
brj-23470	20	19	arash	arash	PROPN
brj-23470	20	20	et	et	PROPN
brj-23470	20	21	al	al	PROPN
brj-23470	20	22	.	.	PROPN
brj-23470	20	23	2022	2022	NUM
brj-23470	20	24	;	;	PUNCT
brj-23470	20	25	hamza	hamza	PROPN
brj-23470	20	26	et	et	PROPN
brj-23470	20	27	al	al	PROPN
brj-23470	20	28	.	.	PROPN
brj-23470	20	29	2023	2023	NUM
brj-23470	20	30	)	)	PUNCT
brj-23470	20	31	.	.	PUNCT
brj-23470	21	1	the	the	DET
brj-23470	21	2	impact	impact	NOUN
brj-23470	21	3	of	of	ADP
brj-23470	21	4	water	water	NOUN
brj-23470	21	5	pollution	pollution	NOUN
brj-23470	21	6	in	in	ADP
brj-23470	21	7	water	water	NOUN
brj-23470	21	8	sources	source	NOUN
brj-23470	21	9	on	on	ADP
brj-23470	21	10	human	human	ADJ
brj-23470	21	11	health	health	NOUN
brj-23470	21	12	is	be	AUX
brj-23470	21	13	immense	immense	ADJ
brj-23470	21	14	,	,	PUNCT
brj-23470	21	15	underscoring	underscore	VERB
brj-23470	21	16	the	the	DET
brj-23470	21	17	crucial	crucial	ADJ
brj-23470	21	18	importance	importance	NOUN
brj-23470	21	19	of	of	ADP
brj-23470	21	20	monitoring	monitoring	NOUN
brj-23470	21	21	and	and	CCONJ
brj-23470	21	22	early	early	ADJ
brj-23470	21	23	warning	warning	NOUN
brj-23470	21	24	research	research	NOUN
brj-23470	21	25	on	on	ADP
brj-23470	21	26	water	water	NOUN
brj-23470	21	27	source	source	NOUN
brj-23470	21	28	environments	environment	NOUN
brj-23470	21	29	.	.	PUNCT
brj-23470	22	1	peer	peer	NOUN
brj-23470	22	2	-	-	PUNCT
brj-23470	22	3	reviewed	review	VERB
brj-23470	22	4	article	article	NOUN
brj-23470	22	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	22	6	zhang	zhang	PROPN
brj-23470	22	7	et	et	PROPN
brj-23470	22	8	al	al	PROPN
brj-23470	22	9	.	.	PROPN
brj-23470	23	1	(	(	PUNCT
brj-23470	23	2	2024	2024	NUM
brj-23470	23	3	)	)	PUNCT
brj-23470	23	4	.	.	PUNCT
brj-23470	24	1	“	"	PUNCT
brj-23470	24	2	activated	activate	VERB
brj-23470	24	3	carbon	carbon	NOUN
brj-23470	24	4	from	from	ADP
brj-23470	24	5	sludge	sludge	NOUN
brj-23470	24	6	,	,	PUNCT
brj-23470	24	7	”	"	PUNCT
brj-23470	24	8	bioresources	bioresource	NOUN
brj-23470	24	9	19(3	19(3	NUM
brj-23470	24	10	)	)	PUNCT
brj-23470	24	11	,	,	PUNCT
brj-23470	24	12	4941	4941	NUM
brj-23470	24	13	-	-	SYM
brj-23470	24	14	4959	4959	NUM
brj-23470	24	15	.	.	PUNCT
brj-23470	25	1	4942	4942	NUM
brj-23470	25	2	monitoring	monitoring	NOUN
brj-23470	25	3	of	of	ADP
brj-23470	25	4	water	water	NOUN
brj-23470	25	5	environments	environment	NOUN
brj-23470	25	6	in	in	ADP
brj-23470	25	7	water	water	NOUN
brj-23470	25	8	sources	source	NOUN
brj-23470	25	9	is	be	AUX
brj-23470	25	10	achieved	achieve	VERB
brj-23470	25	11	primarily	primarily	ADV
brj-23470	25	12	by	by	ADP
brj-23470	25	13	detecting	detect	VERB
brj-23470	25	14	various	various	ADJ
brj-23470	25	15	water	water	NOUN
brj-23470	25	16	quality	quality	NOUN
brj-23470	25	17	parameters	parameter	NOUN
brj-23470	25	18	(	(	PUNCT
brj-23470	25	19	mehreen	mehreen	NOUN
brj-23470	25	20	et	et	PROPN
brj-23470	25	21	al	al	PROPN
brj-23470	25	22	.	.	PROPN
brj-23470	25	23	2022	2022	NUM
brj-23470	25	24	)	)	PUNCT
brj-23470	25	25	.	.	PUNCT
brj-23470	26	1	by	by	ADP
brj-23470	26	2	regularly	regularly	ADV
brj-23470	26	3	monitoring	monitor	VERB
brj-23470	26	4	water	water	NOUN
brj-23470	26	5	environments	environment	NOUN
brj-23470	26	6	,	,	PUNCT
brj-23470	26	7	authorities	authority	NOUN
brj-23470	26	8	can	can	AUX
brj-23470	26	9	track	track	VERB
brj-23470	26	10	changes	change	NOUN
brj-23470	26	11	in	in	ADP
brj-23470	26	12	water	water	NOUN
brj-23470	26	13	quality	quality	NOUN
brj-23470	26	14	parameters	parameter	NOUN
brj-23470	26	15	,	,	PUNCT
brj-23470	26	16	such	such	ADJ
brj-23470	26	17	as	as	ADP
brj-23470	26	18	ph	ph	ADJ
brj-23470	26	19	levels	level	NOUN
brj-23470	26	20	,	,	PUNCT
brj-23470	26	21	turbidity	turbidity	NOUN
brj-23470	26	22	,	,	PUNCT
brj-23470	26	23	dissolved	dissolve	VERB
brj-23470	26	24	oxygen	oxygen	NOUN
brj-23470	26	25	(	(	PUNCT
brj-23470	26	26	do	do	AUX
brj-23470	26	27	)	)	PUNCT
brj-23470	26	28	,	,	PUNCT
brj-23470	26	29	as	as	ADV
brj-23470	26	30	well	well	ADV
brj-23470	26	31	as	as	ADP
brj-23470	26	32	the	the	DET
brj-23470	26	33	presence	presence	NOUN
brj-23470	26	34	of	of	ADP
brj-23470	26	35	biological	biological	ADJ
brj-23470	26	36	or	or	CCONJ
brj-23470	26	37	chemical	chemical	ADJ
brj-23470	26	38	contaminants	contaminant	NOUN
brj-23470	26	39	.	.	PUNCT
brj-23470	27	1	different	different	ADJ
brj-23470	27	2	physical	physical	ADJ
brj-23470	27	3	,	,	PUNCT
brj-23470	27	4	chemical	chemical	NOUN
brj-23470	27	5	,	,	PUNCT
brj-23470	27	6	and	and	CCONJ
brj-23470	27	7	biological	biological	ADJ
brj-23470	27	8	water	water	NOUN
brj-23470	27	9	quality	quality	NOUN
brj-23470	27	10	parameters	parameter	NOUN
brj-23470	27	11	can	can	AUX
brj-23470	27	12	be	be	AUX
brj-23470	27	13	selected	select	VERB
brj-23470	27	14	to	to	PART
brj-23470	27	15	assess	assess	VERB
brj-23470	27	16	the	the	DET
brj-23470	27	17	water	water	NOUN
brj-23470	27	18	environment	environment	NOUN
brj-23470	27	19	.	.	PUNCT
brj-23470	28	1	given	give	VERB
brj-23470	28	2	the	the	DET
brj-23470	28	3	numerous	numerous	ADJ
brj-23470	28	4	water	water	NOUN
brj-23470	28	5	quality	quality	NOUN
brj-23470	28	6	parameters	parameter	NOUN
brj-23470	28	7	,	,	PUNCT
brj-23470	28	8	researchers	researcher	NOUN
brj-23470	28	9	often	often	ADV
brj-23470	28	10	use	use	VERB
brj-23470	28	11	different	different	ADJ
brj-23470	28	12	models	model	NOUN
brj-23470	28	13	to	to	PART
brj-23470	28	14	predict	predict	VERB
brj-23470	28	15	water	water	NOUN
brj-23470	28	16	quality	quality	NOUN
brj-23470	28	17	or	or	CCONJ
brj-23470	28	18	study	study	VERB
brj-23470	28	19	the	the	DET
brj-23470	28	20	relationships	relationship	NOUN
brj-23470	28	21	between	between	ADP
brj-23470	28	22	different	different	ADJ
brj-23470	28	23	water	water	NOUN
brj-23470	28	24	quality	quality	NOUN
brj-23470	28	25	parameters	parameter	NOUN
brj-23470	28	26	(	(	PUNCT
brj-23470	28	27	roy	roy	PROPN
brj-23470	28	28	et	et	PROPN
brj-23470	28	29	al	al	PROPN
brj-23470	28	30	.	.	PROPN
brj-23470	28	31	2018	2018	NUM
brj-23470	28	32	;	;	PUNCT
brj-23470	28	33	nimisha	nimisha	PROPN
brj-23470	28	34	et	et	PROPN
brj-23470	28	35	al	al	PROPN
brj-23470	28	36	.	.	PROPN
brj-23470	28	37	2020	2020	NUM
brj-23470	28	38	)	)	PUNCT
brj-23470	28	39	.	.	PUNCT
brj-23470	29	1	for	for	ADP
brj-23470	29	2	instance	instance	NOUN
brj-23470	29	3	,	,	PUNCT
brj-23470	29	4	choden	choden	PROPN
brj-23470	29	5	et	et	PROPN
brj-23470	29	6	al	al	PROPN
brj-23470	29	7	.	.	PROPN
brj-23470	29	8	(	(	PUNCT
brj-23470	29	9	2022	2022	NUM
brj-23470	29	10	)	)	PUNCT
brj-23470	29	11	selected	select	VERB
brj-23470	29	12	parameters	parameter	NOUN
brj-23470	29	13	such	such	ADJ
brj-23470	29	14	as	as	ADP
brj-23470	29	15	dissolved	dissolve	VERB
brj-23470	29	16	total	total	ADJ
brj-23470	29	17	solids	solid	NOUN
brj-23470	29	18	,	,	PUNCT
brj-23470	29	19	conductivity	conductivity	NOUN
brj-23470	29	20	,	,	PUNCT
brj-23470	29	21	ph	ph	NOUN
brj-23470	29	22	,	,	PUNCT
brj-23470	29	23	and	and	CCONJ
brj-23470	29	24	do	do	VERB
brj-23470	29	25	as	as	ADP
brj-23470	29	26	modeling	model	VERB
brj-23470	29	27	data	datum	NOUN
brj-23470	29	28	,	,	PUNCT
brj-23470	29	29	using	use	VERB
brj-23470	29	30	a	a	DET
brj-23470	29	31	neural	neural	ADJ
brj-23470	29	32	network	network	NOUN
brj-23470	29	33	model	model	NOUN
brj-23470	29	34	to	to	PART
brj-23470	29	35	provide	provide	VERB
brj-23470	29	36	water	water	NOUN
brj-23470	29	37	quality	quality	NOUN
brj-23470	29	38	analysis	analysis	NOUN
brj-23470	29	39	and	and	CCONJ
brj-23470	29	40	future	future	ADJ
brj-23470	29	41	predictions	prediction	NOUN
brj-23470	29	42	,	,	PUNCT
brj-23470	29	43	thus	thus	ADV
brj-23470	29	44	achieving	achieve	VERB
brj-23470	29	45	water	water	NOUN
brj-23470	29	46	resource	resource	NOUN
brj-23470	29	47	protection	protection	NOUN
brj-23470	29	48	and	and	CCONJ
brj-23470	29	49	sustainability	sustainability	NOUN
brj-23470	29	50	.	.	PUNCT
brj-23470	30	1	fijani	fijani	PROPN
brj-23470	30	2	et	et	PROPN
brj-23470	30	3	al	al	PROPN
brj-23470	30	4	.	.	PROPN
brj-23470	31	1	(	(	PUNCT
brj-23470	31	2	2019	2019	NUM
brj-23470	31	3	)	)	PUNCT
brj-23470	31	4	used	use	VERB
brj-23470	31	5	the	the	DET
brj-23470	31	6	complete	complete	ADJ
brj-23470	31	7	ensemble	ensemble	ADJ
brj-23470	31	8	empirical	empirical	ADJ
brj-23470	31	9	mode	mode	NOUN
brj-23470	31	10	decomposition	decomposition	NOUN
brj-23470	31	11	with	with	ADP
brj-23470	31	12	adaptive	adaptive	ADJ
brj-23470	31	13	noise	noise	NOUN
brj-23470	31	14	(	(	PUNCT
brj-23470	31	15	ceemdan	ceemdan	ADJ
brj-23470	31	16	)	)	PUNCT
brj-23470	31	17	and	and	CCONJ
brj-23470	31	18	variational	variational	ADJ
brj-23470	31	19	mode	mode	NOUN
brj-23470	31	20	decomposition	decomposition	NOUN
brj-23470	31	21	(	(	PUNCT
brj-23470	31	22	vmd	vmd	NOUN
brj-23470	31	23	)	)	PUNCT
brj-23470	31	24	algorithms	algorithm	NOUN
brj-23470	31	25	,	,	PUNCT
brj-23470	31	26	coupled	couple	VERB
brj-23470	31	27	with	with	ADP
brj-23470	31	28	extreme	extreme	ADJ
brj-23470	31	29	learning	learning	NOUN
brj-23470	31	30	machines	machine	NOUN
brj-23470	31	31	(	(	PUNCT
brj-23470	31	32	elm	elm	PROPN
brj-23470	31	33	)	)	PUNCT
brj-23470	31	34	and	and	CCONJ
brj-23470	31	35	least	least	ADJ
brj-23470	31	36	-	-	PUNCT
brj-23470	31	37	squares	square	NOUN
brj-23470	31	38	support	support	NOUN
brj-23470	31	39	vector	vector	NOUN
brj-23470	31	40	machines	machine	NOUN
brj-23470	31	41	(	(	PUNCT
brj-23470	31	42	lssvm	lssvm	PROPN
brj-23470	31	43	)	)	PUNCT
brj-23470	31	44	,	,	PUNCT
brj-23470	31	45	to	to	PART
brj-23470	31	46	achieve	achieve	VERB
brj-23470	31	47	real	real	ADJ
brj-23470	31	48	-	-	PUNCT
brj-23470	31	49	time	time	NOUN
brj-23470	31	50	evaluation	evaluation	NOUN
brj-23470	31	51	of	of	ADP
brj-23470	31	52	reservoir	reservoir	PROPN
brj-23470	31	53	water	water	NOUN
brj-23470	31	54	quality	quality	NOUN
brj-23470	31	55	.	.	PUNCT
brj-23470	32	1	wang	wang	PROPN
brj-23470	32	2	et	et	PROPN
brj-23470	32	3	al	al	PROPN
brj-23470	32	4	.	.	PROPN
brj-23470	33	1	(	(	PUNCT
brj-23470	33	2	2019	2019	NUM
brj-23470	33	3	)	)	PUNCT
brj-23470	33	4	improved	improve	VERB
brj-23470	33	5	the	the	DET
brj-23470	33	6	water	water	NOUN
brj-23470	33	7	quality	quality	NOUN
brj-23470	33	8	prediction	prediction	NOUN
brj-23470	33	9	model	model	NOUN
brj-23470	33	10	based	base	VERB
brj-23470	33	11	on	on	ADP
brj-23470	33	12	the	the	DET
brj-23470	33	13	time	time	NOUN
brj-23470	33	14	series	series	PROPN
brj-23470	33	15	arima	arima	PROPN
brj-23470	33	16	model	model	NOUN
brj-23470	33	17	by	by	ADP
brj-23470	33	18	introducing	introduce	VERB
brj-23470	33	19	the	the	DET
brj-23470	33	20	holt	holt	PROPN
brj-23470	33	21	-	-	PUNCT
brj-23470	33	22	winters	winters	PROPN
brj-23470	33	23	seasonal	seasonal	ADJ
brj-23470	33	24	model	model	NOUN
brj-23470	33	25	and	and	CCONJ
brj-23470	33	26	established	establish	VERB
brj-23470	33	27	a	a	DET
brj-23470	33	28	universal	universal	ADJ
brj-23470	33	29	water	water	NOUN
brj-23470	33	30	quality	quality	NOUN
brj-23470	33	31	prediction	prediction	NOUN
brj-23470	33	32	model	model	NOUN
brj-23470	33	33	with	with	ADP
brj-23470	33	34	eutrophication	eutrophication	NOUN
brj-23470	33	35	parameters	parameter	NOUN
brj-23470	33	36	,	,	PUNCT
brj-23470	33	37	which	which	PRON
brj-23470	33	38	could	could	AUX
brj-23470	33	39	significantly	significantly	ADV
brj-23470	33	40	reduce	reduce	VERB
brj-23470	33	41	the	the	DET
brj-23470	33	42	cost	cost	NOUN
brj-23470	33	43	of	of	ADP
brj-23470	33	44	water	water	NOUN
brj-23470	33	45	quality	quality	NOUN
brj-23470	33	46	prediction	prediction	NOUN
brj-23470	33	47	and	and	CCONJ
brj-23470	33	48	analysis	analysis	NOUN
brj-23470	33	49	in	in	ADP
brj-23470	33	50	drinking	drink	VERB
brj-23470	33	51	water	water	NOUN
brj-23470	33	52	resources	resource	NOUN
brj-23470	33	53	.	.	PUNCT
brj-23470	34	1	due	due	ADP
brj-23470	34	2	to	to	ADP
brj-23470	34	3	the	the	DET
brj-23470	34	4	lack	lack	NOUN
brj-23470	34	5	of	of	ADP
brj-23470	34	6	biological	biological	ADJ
brj-23470	34	7	factor	factor	NOUN
brj-23470	34	8	evaluation	evaluation	NOUN
brj-23470	34	9	in	in	ADP
brj-23470	34	10	water	water	NOUN
brj-23470	34	11	quality	quality	NOUN
brj-23470	34	12	assessment	assessment	NOUN
brj-23470	34	13	,	,	PUNCT
brj-23470	34	14	zhang	zhang	PROPN
brj-23470	34	15	and	and	CCONJ
brj-23470	34	16	liu	liu	PROPN
brj-23470	34	17	(	(	PUNCT
brj-23470	34	18	2020	2020	NUM
brj-23470	34	19	)	)	PUNCT
brj-23470	34	20	studied	study	VERB
brj-23470	34	21	the	the	DET
brj-23470	34	22	correlation	correlation	NOUN
brj-23470	34	23	between	between	ADP
brj-23470	34	24	evaluation	evaluation	NOUN
brj-23470	34	25	indicators	indicator	NOUN
brj-23470	34	26	and	and	CCONJ
brj-23470	34	27	cyanobacteria	cyanobacteria	NOUN
brj-23470	34	28	concentration	concentration	NOUN
brj-23470	34	29	and	and	CCONJ
brj-23470	34	30	established	establish	VERB
brj-23470	34	31	a	a	DET
brj-23470	34	32	new	new	ADJ
brj-23470	34	33	cyanobacterial	cyanobacterial	ADJ
brj-23470	34	34	pollution	pollution	NOUN
brj-23470	34	35	index	index	NOUN
brj-23470	34	36	for	for	ADP
brj-23470	34	37	comprehensive	comprehensive	ADJ
brj-23470	34	38	water	water	NOUN
brj-23470	34	39	quality	quality	NOUN
brj-23470	34	40	evaluation	evaluation	NOUN
brj-23470	34	41	.	.	PUNCT
brj-23470	35	1	in	in	ADP
brj-23470	35	2	addition	addition	NOUN
brj-23470	35	3	,	,	PUNCT
brj-23470	35	4	mixed	mixed	ADJ
brj-23470	35	5	models	model	NOUN
brj-23470	35	6	can	can	AUX
brj-23470	35	7	also	also	ADV
brj-23470	35	8	be	be	AUX
brj-23470	35	9	used	use	VERB
brj-23470	35	10	to	to	PART
brj-23470	35	11	predict	predict	VERB
brj-23470	35	12	changes	change	NOUN
brj-23470	35	13	in	in	ADP
brj-23470	35	14	water	water	NOUN
brj-23470	35	15	quality	quality	NOUN
brj-23470	35	16	parameters	parameter	NOUN
brj-23470	35	17	.	.	PUNCT
brj-23470	36	1	song	song	NOUN
brj-23470	36	2	et	et	PROPN
brj-23470	36	3	al	al	PROPN
brj-23470	36	4	.	.	PROPN
brj-23470	37	1	(	(	PUNCT
brj-23470	37	2	2022	2022	NUM
brj-23470	37	3	)	)	PUNCT
brj-23470	37	4	proposed	propose	VERB
brj-23470	37	5	a	a	DET
brj-23470	37	6	hybrid	hybrid	ADJ
brj-23470	37	7	model	model	NOUN
brj-23470	37	8	based	base	VERB
brj-23470	37	9	on	on	ADP
brj-23470	37	10	ensemble	ensemble	ADJ
brj-23470	37	11	learning	learning	NOUN
brj-23470	37	12	methods	method	NOUN
brj-23470	37	13	,	,	PUNCT
brj-23470	37	14	combining	combine	VERB
brj-23470	37	15	the	the	DET
brj-23470	37	16	complete	complete	ADJ
brj-23470	37	17	ensemble	ensemble	ADJ
brj-23470	37	18	empirical	empirical	ADJ
brj-23470	37	19	mode	mode	NOUN
brj-23470	37	20	decomposition	decomposition	NOUN
brj-23470	37	21	with	with	ADP
brj-23470	37	22	adaptive	adaptive	ADJ
brj-23470	37	23	noise	noise	NOUN
brj-23470	37	24	(	(	PUNCT
brj-23470	37	25	ceemdan	ceemdan	PROPN
brj-23470	37	26	)	)	PUNCT
brj-23470	37	27	and	and	CCONJ
brj-23470	37	28	improving	improve	VERB
brj-23470	37	29	long	long	ADJ
brj-23470	37	30	short	short	ADJ
brj-23470	37	31	-	-	PUNCT
brj-23470	37	32	term	term	NOUN
brj-23470	37	33	memory	memory	NOUN
brj-23470	37	34	(	(	PUNCT
brj-23470	37	35	lstm	lstm	NOUN
brj-23470	37	36	)	)	PUNCT
brj-23470	37	37	to	to	PART
brj-23470	37	38	perform	perform	VERB
brj-23470	37	39	water	water	NOUN
brj-23470	37	40	quality	quality	NOUN
brj-23470	37	41	prediction	prediction	NOUN
brj-23470	37	42	.	.	PUNCT
brj-23470	38	1	this	this	DET
brj-23470	38	2	model	model	NOUN
brj-23470	38	3	demonstrated	demonstrate	VERB
brj-23470	38	4	better	well	ADJ
brj-23470	38	5	predictive	predictive	ADJ
brj-23470	38	6	accuracy	accuracy	NOUN
brj-23470	38	7	compared	compare	VERB
brj-23470	38	8	to	to	ADP
brj-23470	38	9	other	other	ADJ
brj-23470	38	10	data	data	NOUN
brj-23470	38	11	-	-	PUNCT
brj-23470	38	12	driven	drive	VERB
brj-23470	38	13	models	model	NOUN
brj-23470	38	14	.	.	PUNCT
brj-23470	39	1	the	the	DET
brj-23470	39	2	studies	study	NOUN
brj-23470	39	3	described	describe	VERB
brj-23470	39	4	above	above	ADP
brj-23470	39	5	used	use	VERB
brj-23470	39	6	algorithms	algorithm	NOUN
brj-23470	39	7	to	to	PART
brj-23470	39	8	analyze	analyze	VERB
brj-23470	39	9	the	the	DET
brj-23470	39	10	relationships	relationship	NOUN
brj-23470	39	11	between	between	ADP
brj-23470	39	12	water	water	NOUN
brj-23470	39	13	quality	quality	NOUN
brj-23470	39	14	parameters	parameter	NOUN
brj-23470	39	15	and	and	CCONJ
brj-23470	39	16	attempted	attempt	VERB
brj-23470	39	17	to	to	PART
brj-23470	39	18	simplify	simplify	VERB
brj-23470	39	19	water	water	NOUN
brj-23470	39	20	quality	quality	NOUN
brj-23470	39	21	assessment	assessment	NOUN
brj-23470	39	22	through	through	ADP
brj-23470	39	23	various	various	ADJ
brj-23470	39	24	models	model	NOUN
brj-23470	39	25	,	,	PUNCT
brj-23470	39	26	focusing	focus	VERB
brj-23470	39	27	on	on	ADP
brj-23470	39	28	predicting	predict	VERB
brj-23470	39	29	or	or	CCONJ
brj-23470	39	30	evaluating	evaluate	VERB
brj-23470	39	31	water	water	NOUN
brj-23470	39	32	quality	quality	NOUN
brj-23470	39	33	based	base	VERB
brj-23470	39	34	on	on	ADP
brj-23470	39	35	key	key	ADJ
brj-23470	39	36	water	water	NOUN
brj-23470	39	37	quality	quality	NOUN
brj-23470	39	38	parameters	parameter	NOUN
brj-23470	39	39	.	.	PUNCT
brj-23470	40	1	the	the	DET
brj-23470	40	2	use	use	NOUN
brj-23470	40	3	of	of	ADP
brj-23470	40	4	mathematical	mathematical	ADJ
brj-23470	40	5	models	model	NOUN
brj-23470	40	6	to	to	PART
brj-23470	40	7	simplify	simplify	VERB
brj-23470	40	8	water	water	NOUN
brj-23470	40	9	environmental	environmental	ADJ
brj-23470	40	10	monitoring	monitoring	NOUN
brj-23470	40	11	processes	process	NOUN
brj-23470	40	12	has	have	AUX
brj-23470	40	13	shown	show	VERB
brj-23470	40	14	promise	promise	NOUN
brj-23470	40	15	and	and	CCONJ
brj-23470	40	16	potential	potential	NOUN
brj-23470	40	17	for	for	ADP
brj-23470	40	18	application	application	NOUN
brj-23470	40	19	.	.	PUNCT
brj-23470	41	1	continued	continue	VERB
brj-23470	41	2	research	research	NOUN
brj-23470	41	3	and	and	CCONJ
brj-23470	41	4	development	development	NOUN
brj-23470	41	5	in	in	ADP
brj-23470	41	6	this	this	DET
brj-23470	41	7	field	field	NOUN
brj-23470	41	8	will	will	AUX
brj-23470	41	9	further	far	ADV
brj-23470	41	10	improve	improve	VERB
brj-23470	41	11	the	the	DET
brj-23470	41	12	accuracy	accuracy	NOUN
brj-23470	41	13	and	and	CCONJ
brj-23470	41	14	reliability	reliability	NOUN
brj-23470	41	15	of	of	ADP
brj-23470	41	16	these	these	DET
brj-23470	41	17	models	model	NOUN
brj-23470	41	18	,	,	PUNCT
brj-23470	41	19	leading	lead	VERB
brj-23470	41	20	to	to	ADP
brj-23470	41	21	better	well	ADJ
brj-23470	41	22	water	water	NOUN
brj-23470	41	23	management	management	NOUN
brj-23470	41	24	strategies	strategy	NOUN
brj-23470	41	25	and	and	CCONJ
brj-23470	41	26	enhanced	enhance	VERB
brj-23470	41	27	protection	protection	NOUN
brj-23470	41	28	of	of	ADP
brj-23470	41	29	drinking	drink	VERB
brj-23470	41	30	water	water	NOUN
brj-23470	41	31	sources	source	NOUN
brj-23470	41	32	.	.	PUNCT
brj-23470	42	1	various	various	ADJ
brj-23470	42	2	water	water	NOUN
brj-23470	42	3	quality	quality	NOUN
brj-23470	42	4	parameters	parameter	NOUN
brj-23470	42	5	have	have	VERB
brj-23470	42	6	complex	complex	ADJ
brj-23470	42	7	relationships	relationship	NOUN
brj-23470	42	8	with	with	ADP
brj-23470	42	9	each	each	DET
brj-23470	42	10	other	other	ADJ
brj-23470	42	11	(	(	PUNCT
brj-23470	42	12	nimisha	nimisha	PROPN
brj-23470	42	13	et	et	PROPN
brj-23470	42	14	al	al	PROPN
brj-23470	42	15	.	.	PROPN
brj-23470	42	16	2020	2020	NUM
brj-23470	42	17	)	)	PUNCT
brj-23470	42	18	.	.	PUNCT
brj-23470	43	1	for	for	ADP
brj-23470	43	2	example	example	NOUN
brj-23470	43	3	,	,	PUNCT
brj-23470	43	4	shroff	shroff	PROPN
brj-23470	43	5	et	et	PROPN
brj-23470	43	6	al	al	PROPN
brj-23470	43	7	.	.	PROPN
brj-23470	44	1	(	(	PUNCT
brj-23470	44	2	2015	2015	NUM
brj-23470	44	3	)	)	PUNCT
brj-23470	44	4	conducted	conduct	VERB
brj-23470	44	5	a	a	DET
brj-23470	44	6	regression	regression	NOUN
brj-23470	44	7	analysis	analysis	NOUN
brj-23470	44	8	on	on	ADP
brj-23470	44	9	the	the	DET
brj-23470	44	10	water	water	NOUN
brj-23470	44	11	quality	quality	NOUN
brj-23470	44	12	of	of	ADP
brj-23470	44	13	gagan	gagan	PROPN
brj-23470	44	14	river	river	PROPN
brj-23470	44	15	from	from	ADP
brj-23470	44	16	different	different	ADJ
brj-23470	44	17	sites	site	NOUN
brj-23470	44	18	,	,	PUNCT
brj-23470	44	19	revealing	reveal	VERB
brj-23470	44	20	a	a	DET
brj-23470	44	21	significant	significant	ADJ
brj-23470	44	22	relationship	relationship	NOUN
brj-23470	44	23	between	between	ADP
brj-23470	44	24	parameters	parameter	NOUN
brj-23470	44	25	such	such	ADJ
brj-23470	44	26	as	as	ADP
brj-23470	44	27	ph	ph	NOUN
brj-23470	44	28	and	and	CCONJ
brj-23470	44	29	conductivity	conductivity	NOUN
brj-23470	44	30	.	.	PUNCT
brj-23470	45	1	the	the	DET
brj-23470	45	2	results	result	NOUN
brj-23470	45	3	showed	show	VERB
brj-23470	45	4	that	that	SCONJ
brj-23470	45	5	the	the	DET
brj-23470	45	6	high	high	ADJ
brj-23470	45	7	conductivity	conductivity	NOUN
brj-23470	45	8	suggested	suggest	VERB
brj-23470	45	9	the	the	DET
brj-23470	45	10	presence	presence	NOUN
brj-23470	45	11	of	of	ADP
brj-23470	45	12	dissolved	dissolve	VERB
brj-23470	45	13	ions	ion	NOUN
brj-23470	45	14	in	in	ADP
brj-23470	45	15	water	water	NOUN
brj-23470	45	16	,	,	PUNCT
brj-23470	45	17	which	which	PRON
brj-23470	45	18	would	would	AUX
brj-23470	45	19	influence	influence	VERB
brj-23470	45	20	the	the	DET
brj-23470	45	21	ph	ph	ADJ
brj-23470	45	22	value	value	NOUN
brj-23470	45	23	.	.	PUNCT
brj-23470	46	1	in	in	ADP
brj-23470	46	2	a	a	DET
brj-23470	46	3	study	study	NOUN
brj-23470	46	4	conducted	conduct	VERB
brj-23470	46	5	by	by	ADP
brj-23470	46	6	han	han	PROPN
brj-23470	46	7	et	et	PROPN
brj-23470	46	8	al	al	PROPN
brj-23470	46	9	.	.	PROPN
brj-23470	47	1	(	(	PUNCT
brj-23470	47	2	2022	2022	NUM
brj-23470	47	3	)	)	PUNCT
brj-23470	47	4	,	,	PUNCT
brj-23470	47	5	an	an	DET
brj-23470	47	6	increase	increase	NOUN
brj-23470	47	7	in	in	ADP
brj-23470	47	8	no3	no3	NOUN
brj-23470	47	9	concertation	concertation	NOUN
brj-23470	47	10	led	lead	VERB
brj-23470	47	11	to	to	ADP
brj-23470	47	12	an	an	DET
brj-23470	47	13	increase	increase	NOUN
brj-23470	47	14	in	in	ADP
brj-23470	47	15	the	the	DET
brj-23470	47	16	quantity	quantity	NOUN
brj-23470	47	17	of	of	ADP
brj-23470	47	18	cyanobacteria	cyanobacteria	NOUN
brj-23470	47	19	,	,	PUNCT
brj-23470	47	20	subsequently	subsequently	ADV
brj-23470	47	21	resulting	result	VERB
brj-23470	47	22	in	in	ADP
brj-23470	47	23	the	the	DET
brj-23470	47	24	occurrence	occurrence	NOUN
brj-23470	47	25	of	of	ADP
brj-23470	47	26	water	water	NOUN
brj-23470	47	27	blooms	bloom	NOUN
brj-23470	47	28	in	in	ADP
brj-23470	47	29	that	that	DET
brj-23470	47	30	area	area	NOUN
brj-23470	47	31	.	.	PUNCT
brj-23470	48	1	furthermore	furthermore	ADV
brj-23470	48	2	,	,	PUNCT
brj-23470	48	3	zeinalzadeh	zeinalzadeh	PROPN
brj-23470	48	4	and	and	CCONJ
brj-23470	48	5	rezaei	rezaei	PROPN
brj-23470	48	6	(	(	PUNCT
brj-23470	48	7	2017	2017	NUM
brj-23470	48	8	)	)	PUNCT
brj-23470	48	9	found	find	VERB
brj-23470	48	10	that	that	SCONJ
brj-23470	48	11	the	the	DET
brj-23470	48	12	concentration	concentration	NOUN
brj-23470	48	13	of	of	ADP
brj-23470	48	14	pollutants	pollutant	NOUN
brj-23470	48	15	(	(	PUNCT
brj-23470	48	16	such	such	ADJ
brj-23470	48	17	as	as	ADP
brj-23470	48	18	nitrogen	nitrogen	NOUN
brj-23470	48	19	pollutants	pollutant	NOUN
brj-23470	48	20	)	)	PUNCT
brj-23470	48	21	in	in	ADP
brj-23470	48	22	rivers	river	NOUN
brj-23470	48	23	always	always	ADV
brj-23470	48	24	varied	vary	VERB
brj-23470	48	25	seasonally	seasonally	ADV
brj-23470	48	26	and	and	CCONJ
brj-23470	48	27	was	be	AUX
brj-23470	48	28	related	relate	VERB
brj-23470	48	29	to	to	ADP
brj-23470	48	30	the	the	DET
brj-23470	48	31	flow	flow	NOUN
brj-23470	48	32	rate	rate	NOUN
brj-23470	48	33	of	of	ADP
brj-23470	48	34	the	the	DET
brj-23470	48	35	river	river	NOUN
brj-23470	48	36	.	.	PUNCT
brj-23470	49	1	while	while	SCONJ
brj-23470	49	2	there	there	PRON
brj-23470	49	3	are	be	VERB
brj-23470	49	4	certain	certain	ADJ
brj-23470	49	5	relationships	relationship	NOUN
brj-23470	49	6	between	between	ADP
brj-23470	49	7	various	various	ADJ
brj-23470	49	8	water	water	NOUN
brj-23470	49	9	quality	quality	NOUN
brj-23470	49	10	parameters	parameter	NOUN
brj-23470	49	11	,	,	PUNCT
brj-23470	49	12	some	some	DET
brj-23470	49	13	parameters	parameter	NOUN
brj-23470	49	14	,	,	PUNCT
brj-23470	49	15	such	such	ADJ
brj-23470	49	16	as	as	ADP
brj-23470	49	17	algae	algae	NOUN
brj-23470	49	18	,	,	PUNCT
brj-23470	49	19	might	might	AUX
brj-23470	49	20	intuitively	intuitively	ADV
brj-23470	49	21	reflect	reflect	VERB
brj-23470	49	22	water	water	NOUN
brj-23470	49	23	quality	quality	NOUN
brj-23470	49	24	.	.	PUNCT
brj-23470	50	1	for	for	ADP
brj-23470	50	2	example	example	NOUN
brj-23470	50	3	,	,	PUNCT
brj-23470	50	4	the	the	DET
brj-23470	50	5	temporal	temporal	ADJ
brj-23470	50	6	variation	variation	NOUN
brj-23470	50	7	in	in	ADP
brj-23470	50	8	the	the	DET
brj-23470	50	9	composition	composition	NOUN
brj-23470	50	10	and	and	CCONJ
brj-23470	50	11	abundance	abundance	NOUN
brj-23470	50	12	of	of	ADP
brj-23470	50	13	algal	algal	ADJ
brj-23470	50	14	communities	community	NOUN
brj-23470	50	15	can	can	AUX
brj-23470	50	16	provide	provide	VERB
brj-23470	50	17	valuable	valuable	ADJ
brj-23470	50	18	information	information	NOUN
brj-23470	50	19	about	about	ADP
brj-23470	50	20	the	the	DET
brj-23470	50	21	trophic	trophic	ADJ
brj-23470	50	22	level	level	NOUN
brj-23470	50	23	and	and	CCONJ
brj-23470	50	24	overall	overall	ADJ
brj-23470	50	25	peer	peer	NOUN
brj-23470	50	26	-	-	PUNCT
brj-23470	50	27	reviewed	review	VERB
brj-23470	50	28	article	article	NOUN
brj-23470	50	29	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	50	30	zhang	zhang	PROPN
brj-23470	50	31	et	et	PROPN
brj-23470	50	32	al	al	PROPN
brj-23470	50	33	.	.	PROPN
brj-23470	51	1	(	(	PUNCT
brj-23470	51	2	2024	2024	NUM
brj-23470	51	3	)	)	PUNCT
brj-23470	51	4	.	.	PUNCT
brj-23470	52	1	“	"	PUNCT
brj-23470	52	2	activated	activate	VERB
brj-23470	52	3	carbon	carbon	NOUN
brj-23470	52	4	from	from	ADP
brj-23470	52	5	sludge	sludge	NOUN
brj-23470	52	6	,	,	PUNCT
brj-23470	52	7	”	"	PUNCT
brj-23470	52	8	bioresources	bioresource	NOUN
brj-23470	52	9	19(3	19(3	NUM
brj-23470	52	10	)	)	PUNCT
brj-23470	52	11	,	,	PUNCT
brj-23470	52	12	4941	4941	NUM
brj-23470	52	13	-	-	SYM
brj-23470	52	14	4959	4959	NUM
brj-23470	52	15	.	.	PUNCT
brj-23470	53	1	4943	4943	NUM
brj-23470	53	2	health	health	NOUN
brj-23470	53	3	of	of	ADP
brj-23470	53	4	the	the	DET
brj-23470	53	5	water	water	NOUN
brj-23470	53	6	body	body	NOUN
brj-23470	53	7	.	.	PUNCT
brj-23470	54	1	compared	compare	VERB
brj-23470	54	2	to	to	ADP
brj-23470	54	3	nutrient	nutrient	ADJ
brj-23470	54	4	concentrations	concentration	NOUN
brj-23470	54	5	or	or	CCONJ
brj-23470	54	6	chlorophyll	chlorophyll	VERB
brj-23470	54	7	a	a	DET
brj-23470	54	8	(	(	PUNCT
brj-23470	54	9	chla	chla	NOUN
brj-23470	54	10	-	-	PUNCT
brj-23470	54	11	a	a	NOUN
brj-23470	54	12	)	)	PUNCT
brj-23470	54	13	values	value	NOUN
brj-23470	54	14	,	,	PUNCT
brj-23470	54	15	algal	algal	ADJ
brj-23470	54	16	communities	community	NOUN
brj-23470	54	17	can	can	AUX
brj-23470	54	18	more	more	ADV
brj-23470	54	19	comprehensively	comprehensively	ADV
brj-23470	54	20	reflect	reflect	VERB
brj-23470	54	21	changes	change	NOUN
brj-23470	54	22	in	in	ADP
brj-23470	54	23	water	water	NOUN
brj-23470	54	24	quality	quality	NOUN
brj-23470	54	25	(	(	PUNCT
brj-23470	54	26	gökçe	gökçe	PROPN
brj-23470	54	27	2016	2016	NUM
brj-23470	54	28	)	)	PUNCT
brj-23470	54	29	.	.	PUNCT
brj-23470	55	1	touchette	touchette	PROPN
brj-23470	55	2	et	et	PROPN
brj-23470	55	3	al	al	PROPN
brj-23470	55	4	.	.	PROPN
brj-23470	56	1	(	(	PUNCT
brj-23470	56	2	2007	2007	NUM
brj-23470	56	3	)	)	PUNCT
brj-23470	56	4	conducted	conduct	VERB
brj-23470	56	5	water	water	NOUN
brj-23470	56	6	quality	quality	NOUN
brj-23470	56	7	testing	testing	NOUN
brj-23470	56	8	on	on	ADP
brj-23470	56	9	11	11	NUM
brj-23470	56	10	drinking	drinking	NOUN
brj-23470	56	11	water	water	NOUN
brj-23470	56	12	supply	supply	NOUN
brj-23470	56	13	reservoirs	reservoir	NOUN
brj-23470	56	14	in	in	ADP
brj-23470	56	15	the	the	DET
brj-23470	56	16	piedmont	piedmont	PROPN
brj-23470	56	17	region	region	NOUN
brj-23470	56	18	of	of	ADP
brj-23470	56	19	north	north	PROPN
brj-23470	56	20	carolina	carolina	PROPN
brj-23470	56	21	.	.	PUNCT
brj-23470	57	1	they	they	PRON
brj-23470	57	2	found	find	VERB
brj-23470	57	3	that	that	SCONJ
brj-23470	57	4	accelerated	accelerate	VERB
brj-23470	57	5	eutrophication	eutrophication	NOUN
brj-23470	57	6	resulting	result	VERB
brj-23470	57	7	from	from	ADP
brj-23470	57	8	further	further	ADJ
brj-23470	57	9	watershed	watershed	ADJ
brj-23470	57	10	development	development	NOUN
brj-23470	57	11	is	be	AUX
brj-23470	57	12	expected	expect	VERB
brj-23470	57	13	to	to	PART
brj-23470	57	14	promote	promote	VERB
brj-23470	57	15	an	an	DET
brj-23470	57	16	increase	increase	NOUN
brj-23470	57	17	in	in	ADP
brj-23470	57	18	cyanobacterial	cyanobacterial	ADJ
brj-23470	57	19	abundance	abundance	NOUN
brj-23470	57	20	.	.	PUNCT
brj-23470	58	1	at	at	ADP
brj-23470	58	2	the	the	DET
brj-23470	58	3	same	same	ADJ
brj-23470	58	4	time	time	NOUN
brj-23470	58	5	,	,	PUNCT
brj-23470	58	6	some	some	DET
brj-23470	58	7	water	water	NOUN
brj-23470	58	8	quality	quality	NOUN
brj-23470	58	9	parameters	parameter	NOUN
brj-23470	58	10	are	be	AUX
brj-23470	58	11	difficult	difficult	ADJ
brj-23470	58	12	to	to	PART
brj-23470	58	13	detect	detect	VERB
brj-23470	58	14	in	in	ADP
brj-23470	58	15	real	real	ADJ
brj-23470	58	16	-	-	PUNCT
brj-23470	58	17	time	time	NOUN
brj-23470	58	18	,	,	PUNCT
brj-23470	58	19	and	and	CCONJ
brj-23470	58	20	if	if	SCONJ
brj-23470	58	21	mathematical	mathematical	ADJ
brj-23470	58	22	models	model	NOUN
brj-23470	58	23	can	can	AUX
brj-23470	58	24	be	be	AUX
brj-23470	58	25	used	use	VERB
brj-23470	58	26	to	to	PART
brj-23470	58	27	establish	establish	VERB
brj-23470	58	28	relationships	relationship	NOUN
brj-23470	58	29	between	between	ADP
brj-23470	58	30	easily	easily	ADV
brj-23470	58	31	monitored	monitor	VERB
brj-23470	58	32	water	water	NOUN
brj-23470	58	33	quality	quality	NOUN
brj-23470	58	34	parameters	parameter	NOUN
brj-23470	58	35	and	and	CCONJ
brj-23470	58	36	other	other	ADJ
brj-23470	58	37	water	water	NOUN
brj-23470	58	38	quality	quality	NOUN
brj-23470	58	39	parameters	parameter	NOUN
brj-23470	58	40	,	,	PUNCT
brj-23470	58	41	it	it	PRON
brj-23470	58	42	can	can	AUX
brj-23470	58	43	greatly	greatly	ADV
brj-23470	58	44	simplify	simplify	VERB
brj-23470	58	45	the	the	DET
brj-23470	58	46	water	water	NOUN
brj-23470	58	47	quality	quality	NOUN
brj-23470	58	48	assessment	assessment	NOUN
brj-23470	58	49	process	process	NOUN
brj-23470	58	50	and	and	CCONJ
brj-23470	58	51	enable	enable	VERB
brj-23470	58	52	timely	timely	ADJ
brj-23470	58	53	water	water	NOUN
brj-23470	58	54	quality	quality	NOUN
brj-23470	58	55	forecasting	forecasting	NOUN
brj-23470	58	56	.	.	PUNCT
brj-23470	59	1	for	for	ADP
brj-23470	59	2	example	example	NOUN
brj-23470	59	3	,	,	PUNCT
brj-23470	59	4	wang	wang	PROPN
brj-23470	59	5	et	et	PROPN
brj-23470	59	6	al	al	PROPN
brj-23470	59	7	.	.	PROPN
brj-23470	60	1	(	(	PUNCT
brj-23470	60	2	2018	2018	NUM
brj-23470	60	3	)	)	PUNCT
brj-23470	60	4	established	establish	VERB
brj-23470	60	5	the	the	DET
brj-23470	60	6	air	air	NOUN
brj-23470	60	7	temperaturewater	temperaturewater	NOUN
brj-23470	60	8	quality	quality	NOUN
brj-23470	60	9	model	model	NOUN
brj-23470	60	10	of	of	ADP
brj-23470	60	11	a	a	DET
brj-23470	60	12	reservoir	reservoir	NOUN
brj-23470	60	13	using	use	VERB
brj-23470	60	14	an	an	DET
brj-23470	60	15	improved	improved	ADJ
brj-23470	60	16	bp	bp	PROPN
brj-23470	60	17	neural	neural	ADJ
brj-23470	60	18	network	network	NOUN
brj-23470	60	19	method	method	NOUN
brj-23470	60	20	based	base	VERB
brj-23470	60	21	on	on	ADP
brj-23470	60	22	the	the	DET
brj-23470	60	23	changing	changing	NOUN
brj-23470	60	24	of	of	ADP
brj-23470	60	25	water	water	NOUN
brj-23470	60	26	quality	quality	NOUN
brj-23470	60	27	indicators	indicator	NOUN
brj-23470	60	28	.	.	PUNCT
brj-23470	61	1	this	this	DET
brj-23470	61	2	model	model	NOUN
brj-23470	61	3	can	can	AUX
brj-23470	61	4	provide	provide	VERB
brj-23470	61	5	early	early	ADJ
brj-23470	61	6	warning	warning	NOUN
brj-23470	61	7	of	of	ADP
brj-23470	61	8	excessive	excessive	ADJ
brj-23470	61	9	total	total	ADJ
brj-23470	61	10	nitrogen	nitrogen	NOUN
brj-23470	61	11	in	in	ADP
brj-23470	61	12	reservoir	reservoir	PROPN
brj-23470	61	13	through	through	ADP
brj-23470	61	14	air	air	NOUN
brj-23470	61	15	temperature	temperature	NOUN
brj-23470	61	16	,	,	PUNCT
brj-23470	61	17	which	which	PRON
brj-23470	61	18	can	can	AUX
brj-23470	61	19	significantly	significantly	ADV
brj-23470	61	20	simplify	simplify	VERB
brj-23470	61	21	the	the	DET
brj-23470	61	22	water	water	NOUN
brj-23470	61	23	quality	quality	NOUN
brj-23470	61	24	monitoring	monitoring	NOUN
brj-23470	61	25	and	and	CCONJ
brj-23470	61	26	prediction	prediction	NOUN
brj-23470	61	27	process	process	NOUN
brj-23470	61	28	.	.	PUNCT
brj-23470	62	1	the	the	DET
brj-23470	62	2	oxidation	oxidation	NOUN
brj-23470	62	3	-	-	PUNCT
brj-23470	62	4	reduction	reduction	NOUN
brj-23470	62	5	potential	potential	NOUN
brj-23470	62	6	(	(	PUNCT
brj-23470	62	7	orp	orp	PROPN
brj-23470	62	8	)	)	PUNCT
brj-23470	62	9	is	be	AUX
brj-23470	62	10	a	a	DET
brj-23470	62	11	parameter	parameter	NOUN
brj-23470	62	12	that	that	PRON
brj-23470	62	13	describes	describe	VERB
brj-23470	62	14	the	the	DET
brj-23470	62	15	redox	redox	ADJ
brj-23470	62	16	properties	property	NOUN
brj-23470	62	17	of	of	ADP
brj-23470	62	18	all	all	DET
brj-23470	62	19	elements	element	NOUN
brj-23470	62	20	in	in	ADP
brj-23470	62	21	an	an	DET
brj-23470	62	22	aqueous	aqueous	ADJ
brj-23470	62	23	solution	solution	NOUN
brj-23470	62	24	.	.	PUNCT
brj-23470	63	1	during	during	ADP
brj-23470	63	2	wastewater	wastewater	NOUN
brj-23470	63	3	treatment	treatment	NOUN
brj-23470	63	4	,	,	PUNCT
brj-23470	63	5	orp	orp	PROPN
brj-23470	63	6	is	be	AUX
brj-23470	63	7	often	often	ADV
brj-23470	63	8	positively	positively	ADV
brj-23470	63	9	correlated	correlate	VERB
brj-23470	63	10	with	with	ADP
brj-23470	63	11	water	water	NOUN
brj-23470	63	12	quality	quality	NOUN
brj-23470	63	13	.	.	PUNCT
brj-23470	64	1	generally	generally	ADV
brj-23470	64	2	,	,	PUNCT
brj-23470	64	3	higher	high	ADJ
brj-23470	64	4	orp	orp	PROPN
brj-23470	64	5	values	value	NOUN
brj-23470	64	6	indicate	indicate	VERB
brj-23470	64	7	better	well	ADJ
brj-23470	64	8	water	water	NOUN
brj-23470	64	9	quality	quality	NOUN
brj-23470	64	10	,	,	PUNCT
brj-23470	64	11	whereas	whereas	SCONJ
brj-23470	64	12	lower	low	ADJ
brj-23470	64	13	orp	orp	PROPN
brj-23470	64	14	values	value	NOUN
brj-23470	64	15	are	be	AUX
brj-23470	64	16	always	always	ADV
brj-23470	64	17	associated	associate	VERB
brj-23470	64	18	with	with	ADP
brj-23470	64	19	poorer	poor	ADJ
brj-23470	64	20	water	water	NOUN
brj-23470	64	21	quality	quality	NOUN
brj-23470	64	22	.	.	PUNCT
brj-23470	65	1	as	as	ADP
brj-23470	65	2	a	a	DET
brj-23470	65	3	result	result	NOUN
brj-23470	65	4	,	,	PUNCT
brj-23470	65	5	orp	orp	PROPN
brj-23470	65	6	detection	detection	NOUN
brj-23470	65	7	is	be	AUX
brj-23470	65	8	widely	widely	ADV
brj-23470	65	9	used	use	VERB
brj-23470	65	10	in	in	ADP
brj-23470	65	11	wastewater	wastewater	NOUN
brj-23470	65	12	treatment	treatment	NOUN
brj-23470	65	13	plants	plant	NOUN
brj-23470	65	14	.	.	PUNCT
brj-23470	66	1	monitoring	monitoring	NOUN
brj-23470	66	2	of	of	ADP
brj-23470	66	3	orp	orp	PROPN
brj-23470	66	4	can	can	AUX
brj-23470	66	5	help	help	VERB
brj-23470	66	6	the	the	DET
brj-23470	66	7	rapid	rapid	ADJ
brj-23470	66	8	analysis	analysis	NOUN
brj-23470	66	9	of	of	ADP
brj-23470	66	10	wastewater	wastewater	NOUN
brj-23470	66	11	purification	purification	NOUN
brj-23470	66	12	reactions	reaction	NOUN
brj-23470	66	13	and	and	CCONJ
brj-23470	66	14	water	water	NOUN
brj-23470	66	15	pollution	pollution	NOUN
brj-23470	66	16	status	status	NOUN
brj-23470	66	17	,	,	PUNCT
brj-23470	66	18	thereby	thereby	ADV
brj-23470	66	19	achieving	achieve	VERB
brj-23470	66	20	efficient	efficient	ADJ
brj-23470	66	21	management	management	NOUN
brj-23470	66	22	of	of	ADP
brj-23470	66	23	water	water	NOUN
brj-23470	66	24	environmental	environmental	ADJ
brj-23470	66	25	quality	quality	NOUN
brj-23470	66	26	(	(	PUNCT
brj-23470	66	27	prambudy	prambudy	NOUN
brj-23470	66	28	et	et	NOUN
brj-23470	66	29	al	al	PROPN
brj-23470	66	30	.	.	PROPN
brj-23470	66	31	2019	2019	NUM
brj-23470	66	32	)	)	PUNCT
brj-23470	66	33	.	.	PUNCT
brj-23470	67	1	wang	wang	PROPN
brj-23470	67	2	et	et	PROPN
brj-23470	67	3	al	al	PROPN
brj-23470	67	4	.	.	PROPN
brj-23470	67	5	(	(	PUNCT
brj-23470	67	6	2022	2022	NUM
brj-23470	67	7	)	)	PUNCT
brj-23470	67	8	utilized	utilize	VERB
brj-23470	67	9	variance	variance	NOUN
brj-23470	67	10	analysis	analysis	NOUN
brj-23470	67	11	to	to	PART
brj-23470	67	12	study	study	VERB
brj-23470	67	13	the	the	DET
brj-23470	67	14	relationship	relationship	NOUN
brj-23470	67	15	between	between	ADP
brj-23470	67	16	orp	orp	PROPN
brj-23470	67	17	and	and	CCONJ
brj-23470	67	18	major	major	ADJ
brj-23470	67	19	active	active	ADJ
brj-23470	67	20	substances	substance	NOUN
brj-23470	67	21	in	in	ADP
brj-23470	67	22	wastewater	wastewater	NOUN
brj-23470	67	23	under	under	ADP
brj-23470	67	24	anaerobic	anaerobic	ADJ
brj-23470	67	25	conditions	condition	NOUN
brj-23470	67	26	and	and	CCONJ
brj-23470	67	27	they	they	PRON
brj-23470	67	28	further	far	ADV
brj-23470	67	29	employed	employ	VERB
brj-23470	67	30	multiple	multiple	ADJ
brj-23470	67	31	regression	regression	NOUN
brj-23470	67	32	analysis	analysis	NOUN
brj-23470	67	33	to	to	PART
brj-23470	67	34	establish	establish	VERB
brj-23470	67	35	a	a	DET
brj-23470	67	36	mathematical	mathematical	ADJ
brj-23470	67	37	model	model	NOUN
brj-23470	67	38	,	,	PUNCT
brj-23470	67	39	revealing	reveal	VERB
brj-23470	67	40	that	that	SCONJ
brj-23470	67	41	under	under	ADP
brj-23470	67	42	anaerobic	anaerobic	ADJ
brj-23470	67	43	conditions	condition	NOUN
brj-23470	67	44	,	,	PUNCT
brj-23470	67	45	orp	orp	PROPN
brj-23470	67	46	was	be	AUX
brj-23470	67	47	positively	positively	ADV
brj-23470	67	48	correlated	correlate	VERB
brj-23470	67	49	with	with	ADP
brj-23470	67	50	nitrate	nitrate	NOUN
brj-23470	67	51	,	,	PUNCT
brj-23470	67	52	dissolved	dissolve	VERB
brj-23470	67	53	oxygen	oxygen	NOUN
brj-23470	67	54	(	(	PUNCT
brj-23470	67	55	do	do	NOUN
brj-23470	67	56	)	)	PUNCT
brj-23470	67	57	,	,	PUNCT
brj-23470	67	58	and	and	CCONJ
brj-23470	67	59	chemical	chemical	NOUN
brj-23470	67	60	oxygen	oxygen	NOUN
brj-23470	67	61	demand	demand	NOUN
brj-23470	67	62	(	(	PUNCT
brj-23470	67	63	cod	cod	NOUN
brj-23470	67	64	)	)	PUNCT
brj-23470	67	65	,	,	PUNCT
brj-23470	67	66	while	while	SCONJ
brj-23470	67	67	it	it	PRON
brj-23470	67	68	was	be	AUX
brj-23470	67	69	negatively	negatively	ADV
brj-23470	67	70	correlated	correlate	VERB
brj-23470	67	71	with	with	ADP
brj-23470	67	72	ammonia	ammonia	ADJ
brj-23470	67	73	nitrogen	nitrogen	NOUN
brj-23470	67	74	,	,	PUNCT
brj-23470	67	75	phosphate	phosphate	NOUN
brj-23470	67	76	,	,	PUNCT
brj-23470	67	77	and	and	CCONJ
brj-23470	67	78	ph	ph	NOUN
brj-23470	67	79	.	.	PROPN
brj-23470	67	80	there	there	PRON
brj-23470	67	81	was	be	VERB
brj-23470	67	82	also	also	ADV
brj-23470	67	83	certain	certain	ADJ
brj-23470	67	84	correlation	correlation	NOUN
brj-23470	67	85	between	between	ADP
brj-23470	67	86	orp	orp	PROPN
brj-23470	67	87	and	and	CCONJ
brj-23470	67	88	parameters	parameter	NOUN
brj-23470	67	89	related	relate	VERB
brj-23470	67	90	to	to	ADP
brj-23470	67	91	water	water	NOUN
brj-23470	67	92	eutrophication	eutrophication	NOUN
brj-23470	67	93	.	.	PUNCT
brj-23470	68	1	liu	liu	PROPN
brj-23470	68	2	et	et	PROPN
brj-23470	68	3	al	al	PROPN
brj-23470	68	4	.	.	PROPN
brj-23470	69	1	(	(	PUNCT
brj-23470	69	2	2019	2019	NUM
brj-23470	69	3	)	)	PUNCT
brj-23470	69	4	found	find	VERB
brj-23470	69	5	that	that	SCONJ
brj-23470	69	6	orp	orp	PROPN
brj-23470	69	7	(	(	PUNCT
brj-23470	69	8	within	within	ADP
brj-23470	69	9	65	65	NUM
brj-23470	69	10	to	to	PART
brj-23470	69	11	170	170	NUM
brj-23470	69	12	mv	mv	NOUN
brj-23470	69	13	)	)	PUNCT
brj-23470	69	14	was	be	AUX
brj-23470	69	15	significantly	significantly	ADV
brj-23470	69	16	and	and	CCONJ
brj-23470	69	17	negatively	negatively	ADV
brj-23470	69	18	correlated	correlate	VERB
brj-23470	69	19	with	with	ADP
brj-23470	69	20	total	total	ADJ
brj-23470	69	21	phosphorus	phosphorus	NOUN
brj-23470	69	22	in	in	ADP
brj-23470	69	23	water	water	NOUN
brj-23470	69	24	body	body	NOUN
brj-23470	69	25	.	.	PUNCT
brj-23470	70	1	shao	shao	PROPN
brj-23470	70	2	et	et	PROPN
brj-23470	70	3	al	al	PROPN
brj-23470	70	4	.	.	PROPN
brj-23470	70	5	(	(	PUNCT
brj-23470	70	6	2023	2023	NUM
brj-23470	70	7	)	)	PUNCT
brj-23470	70	8	studied	study	VERB
brj-23470	70	9	the	the	DET
brj-23470	70	10	microbial	microbial	ADJ
brj-23470	70	11	community	community	NOUN
brj-23470	70	12	structure	structure	NOUN
brj-23470	70	13	during	during	ADP
brj-23470	70	14	the	the	DET
brj-23470	70	15	outbreak	outbreak	NOUN
brj-23470	70	16	of	of	ADP
brj-23470	70	17	algal	algal	ADJ
brj-23470	70	18	bloom	bloom	NOUN
brj-23470	70	19	in	in	ADP
brj-23470	70	20	different	different	ADJ
brj-23470	70	21	kinds	kind	NOUN
brj-23470	70	22	of	of	ADP
brj-23470	70	23	eutrophic	eutrophic	ADJ
brj-23470	70	24	micro	micro	ADJ
brj-23470	70	25	water	water	NOUN
brj-23470	70	26	bodies	body	NOUN
brj-23470	70	27	and	and	CCONJ
brj-23470	70	28	found	find	VERB
brj-23470	70	29	that	that	SCONJ
brj-23470	70	30	orp	orp	PROPN
brj-23470	70	31	was	be	AUX
brj-23470	70	32	related	relate	VERB
brj-23470	70	33	to	to	ADP
brj-23470	70	34	eutrophication	eutrophication	NOUN
brj-23470	70	35	parameters	parameter	NOUN
brj-23470	70	36	such	such	ADJ
brj-23470	70	37	as	as	ADP
brj-23470	70	38	total	total	ADJ
brj-23470	70	39	phosphorus	phosphorus	NOUN
brj-23470	70	40	,	,	PUNCT
brj-23470	70	41	nitrogen	nitrogen	NOUN
brj-23470	70	42	,	,	PUNCT
brj-23470	70	43	and	and	CCONJ
brj-23470	70	44	microbial	microbial	ADJ
brj-23470	70	45	communities	community	NOUN
brj-23470	70	46	related	relate	VERB
brj-23470	70	47	to	to	ADP
brj-23470	70	48	algal	algal	ADJ
brj-23470	70	49	blooms	bloom	NOUN
brj-23470	70	50	.	.	PUNCT
brj-23470	71	1	orp	orp	PROPN
brj-23470	71	2	detection	detection	NOUN
brj-23470	71	3	is	be	AUX
brj-23470	71	4	easy	easy	ADJ
brj-23470	71	5	and	and	CCONJ
brj-23470	71	6	can	can	AUX
brj-23470	71	7	be	be	AUX
brj-23470	71	8	achieved	achieve	VERB
brj-23470	71	9	through	through	ADP
brj-23470	71	10	dedicated	dedicate	VERB
brj-23470	71	11	orp	orp	PROPN
brj-23470	71	12	meters	meter	NOUN
brj-23470	71	13	for	for	ADP
brj-23470	71	14	online	online	ADJ
brj-23470	71	15	monitoring	monitoring	NOUN
brj-23470	71	16	(	(	PUNCT
brj-23470	71	17	yu	yu	PROPN
brj-23470	71	18	et	et	PROPN
brj-23470	71	19	al	al	PROPN
brj-23470	71	20	.	.	PROPN
brj-23470	71	21	2008	2008	NUM
brj-23470	71	22	;	;	PUNCT
brj-23470	71	23	saratale	saratale	NOUN
brj-23470	71	24	et	et	PROPN
brj-23470	71	25	al	al	PROPN
brj-23470	71	26	.	.	PROPN
brj-23470	71	27	2018	2018	NUM
brj-23470	71	28	)	)	PUNCT
brj-23470	71	29	.	.	PUNCT
brj-23470	72	1	the	the	DET
brj-23470	72	2	total	total	ADJ
brj-23470	72	3	phosphorus	phosphorus	NOUN
brj-23470	72	4	and	and	CCONJ
brj-23470	72	5	total	total	ADJ
brj-23470	72	6	nitrogen	nitrogen	NOUN
brj-23470	72	7	include	include	VERB
brj-23470	72	8	partially	partially	ADV
brj-23470	72	9	oxidized	oxidize	VERB
brj-23470	72	10	substances	substance	NOUN
brj-23470	72	11	,	,	PUNCT
brj-23470	72	12	which	which	PRON
brj-23470	72	13	may	may	AUX
brj-23470	72	14	increase	increase	VERB
brj-23470	72	15	the	the	DET
brj-23470	72	16	orp	orp	PROPN
brj-23470	72	17	(	(	PUNCT
brj-23470	72	18	wang	wang	PROPN
brj-23470	72	19	et	et	PROPN
brj-23470	72	20	al	al	PROPN
brj-23470	72	21	.	.	PROPN
brj-23470	72	22	2020	2020	NUM
brj-23470	72	23	)	)	PUNCT
brj-23470	72	24	.	.	PUNCT
brj-23470	73	1	when	when	SCONJ
brj-23470	73	2	the	the	DET
brj-23470	73	3	relationship	relationship	NOUN
brj-23470	73	4	between	between	ADP
brj-23470	73	5	orp	orp	PROPN
brj-23470	73	6	and	and	CCONJ
brj-23470	73	7	water	water	NOUN
brj-23470	73	8	eutrophication	eutrophication	NOUN
brj-23470	73	9	can	can	AUX
brj-23470	73	10	be	be	AUX
brj-23470	73	11	established	establish	VERB
brj-23470	73	12	in	in	ADP
brj-23470	73	13	drinking	drinking	NOUN
brj-23470	73	14	water	water	NOUN
brj-23470	73	15	sources	source	NOUN
brj-23470	73	16	,	,	PUNCT
brj-23470	73	17	it	it	PRON
brj-23470	73	18	would	would	AUX
brj-23470	73	19	enable	enable	VERB
brj-23470	73	20	rapid	rapid	ADJ
brj-23470	73	21	assessment	assessment	NOUN
brj-23470	73	22	and	and	CCONJ
brj-23470	73	23	analysis	analysis	NOUN
brj-23470	73	24	of	of	ADP
brj-23470	73	25	water	water	NOUN
brj-23470	73	26	quality	quality	NOUN
brj-23470	73	27	,	,	PUNCT
brj-23470	73	28	enhancing	enhance	VERB
brj-23470	73	29	the	the	DET
brj-23470	73	30	ability	ability	NOUN
brj-23470	73	31	of	of	ADP
brj-23470	73	32	early	early	ADJ
brj-23470	73	33	warning	warning	NOUN
brj-23470	73	34	systems	system	NOUN
brj-23470	73	35	.	.	PUNCT
brj-23470	74	1	based	base	VERB
brj-23470	74	2	on	on	ADP
brj-23470	74	3	literature	literature	NOUN
brj-23470	74	4	analysis	analysis	NOUN
brj-23470	74	5	and	and	CCONJ
brj-23470	74	6	the	the	DET
brj-23470	74	7	authors	author	NOUN
brj-23470	74	8	’	’	PART
brj-23470	74	9	previous	previous	ADJ
brj-23470	74	10	research	research	NOUN
brj-23470	74	11	,	,	PUNCT
brj-23470	74	12	a	a	DET
brj-23470	74	13	hypothesis	hypothesis	NOUN
brj-23470	74	14	is	be	AUX
brj-23470	74	15	proposed	propose	VERB
brj-23470	74	16	that	that	SCONJ
brj-23470	74	17	the	the	DET
brj-23470	74	18	relationship	relationship	NOUN
brj-23470	74	19	between	between	ADP
brj-23470	74	20	orp	orp	PROPN
brj-23470	74	21	and	and	CCONJ
brj-23470	74	22	eutrophication	eutrophication	NOUN
brj-23470	74	23	is	be	AUX
brj-23470	74	24	not	not	PART
brj-23470	74	25	simply	simply	ADV
brj-23470	74	26	a	a	DET
brj-23470	74	27	positive	positive	ADJ
brj-23470	74	28	or	or	CCONJ
brj-23470	74	29	negative	negative	ADJ
brj-23470	74	30	correlation	correlation	NOUN
brj-23470	74	31	,	,	PUNCT
brj-23470	74	32	and	and	CCONJ
brj-23470	74	33	there	there	PRON
brj-23470	74	34	may	may	AUX
brj-23470	74	35	be	be	AUX
brj-23470	74	36	a	a	DET
brj-23470	74	37	phased	phase	VERB
brj-23470	74	38	change	change	NOUN
brj-23470	74	39	relationship	relationship	NOUN
brj-23470	74	40	.	.	PUNCT
brj-23470	75	1	this	this	DET
brj-23470	75	2	hypothesis	hypothesis	NOUN
brj-23470	75	3	opens	open	VERB
brj-23470	75	4	up	up	ADP
brj-23470	75	5	new	new	ADJ
brj-23470	75	6	possibilities	possibility	NOUN
brj-23470	75	7	for	for	ADP
brj-23470	75	8	understanding	understand	VERB
brj-23470	75	9	the	the	DET
brj-23470	75	10	complex	complex	ADJ
brj-23470	75	11	interactions	interaction	NOUN
brj-23470	75	12	between	between	ADP
brj-23470	75	13	orp	orp	PROPN
brj-23470	75	14	and	and	CCONJ
brj-23470	75	15	eutrophication	eutrophication	NOUN
brj-23470	75	16	in	in	ADP
brj-23470	75	17	water	water	NOUN
brj-23470	75	18	body	body	NOUN
brj-23470	75	19	.	.	PUNCT
brj-23470	76	1	it	it	PRON
brj-23470	76	2	would	would	AUX
brj-23470	76	3	be	be	AUX
brj-23470	76	4	important	important	ADJ
brj-23470	76	5	to	to	PART
brj-23470	76	6	conduct	conduct	VERB
brj-23470	76	7	further	further	ADJ
brj-23470	76	8	research	research	NOUN
brj-23470	76	9	and	and	CCONJ
brj-23470	76	10	data	datum	NOUN
brj-23470	76	11	analysis	analysis	NOUN
brj-23470	76	12	to	to	PART
brj-23470	76	13	test	test	VERB
brj-23470	76	14	this	this	DET
brj-23470	76	15	hypothesis	hypothesis	NOUN
brj-23470	76	16	and	and	CCONJ
brj-23470	76	17	gain	gain	VERB
brj-23470	76	18	insights	insight	NOUN
brj-23470	76	19	into	into	ADP
brj-23470	76	20	the	the	DET
brj-23470	76	21	relationship	relationship	NOUN
brj-23470	76	22	of	of	ADP
brj-23470	76	23	orp	orp	PROPN
brj-23470	76	24	and	and	CCONJ
brj-23470	76	25	eutrophication	eutrophication	NOUN
brj-23470	76	26	in	in	ADP
brj-23470	76	27	different	different	ADJ
brj-23470	76	28	environmental	environmental	ADJ
brj-23470	76	29	contexts	contexts	NOUN
brj-23470	76	30	.	.	PUNCT
brj-23470	77	1	this	this	DET
brj-23470	77	2	study	study	NOUN
brj-23470	77	3	aimed	aim	VERB
brj-23470	77	4	to	to	PART
brj-23470	77	5	establish	establish	VERB
brj-23470	77	6	a	a	DET
brj-23470	77	7	relationship	relationship	NOUN
brj-23470	77	8	between	between	ADP
brj-23470	77	9	water	water	NOUN
brj-23470	77	10	eutrophication	eutrophication	NOUN
brj-23470	77	11	and	and	CCONJ
brj-23470	77	12	the	the	DET
brj-23470	77	13	oxidation	oxidation	NOUN
brj-23470	77	14	-	-	PUNCT
brj-23470	77	15	reduction	reduction	NOUN
brj-23470	77	16	potential	potential	NOUN
brj-23470	77	17	(	(	PUNCT
brj-23470	77	18	orp	orp	PROPN
brj-23470	77	19	)	)	PUNCT
brj-23470	77	20	to	to	PART
brj-23470	77	21	achieve	achieve	VERB
brj-23470	77	22	a	a	DET
brj-23470	77	23	rapid	rapid	ADJ
brj-23470	77	24	analysis	analysis	NOUN
brj-23470	77	25	of	of	ADP
brj-23470	77	26	eutrophication	eutrophication	NOUN
brj-23470	77	27	parameters	parameter	NOUN
brj-23470	77	28	in	in	ADP
brj-23470	77	29	water	water	NOUN
brj-23470	77	30	bodies	body	NOUN
brj-23470	77	31	,	,	PUNCT
brj-23470	77	32	allowing	allow	VERB
brj-23470	77	33	better	well	ADJ
brj-23470	77	34	monitoring	monitoring	NOUN
brj-23470	77	35	of	of	ADP
brj-23470	77	36	ecosystem	ecosystem	NOUN
brj-23470	77	37	health	health	NOUN
brj-23470	77	38	.	.	PUNCT
brj-23470	78	1	firstly	firstly	ADV
brj-23470	78	2	,	,	PUNCT
brj-23470	78	3	peer	peer	NOUN
brj-23470	78	4	-	-	PUNCT
brj-23470	78	5	reviewed	review	VERB
brj-23470	78	6	article	article	NOUN
brj-23470	78	7	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	78	8	zhang	zhang	PROPN
brj-23470	78	9	et	et	PROPN
brj-23470	78	10	al	al	PROPN
brj-23470	78	11	.	.	PROPN
brj-23470	79	1	(	(	PUNCT
brj-23470	79	2	2024	2024	NUM
brj-23470	79	3	)	)	PUNCT
brj-23470	79	4	.	.	PUNCT
brj-23470	80	1	“	"	PUNCT
brj-23470	80	2	activated	activate	VERB
brj-23470	80	3	carbon	carbon	NOUN
brj-23470	80	4	from	from	ADP
brj-23470	80	5	sludge	sludge	NOUN
brj-23470	80	6	,	,	PUNCT
brj-23470	80	7	”	"	PUNCT
brj-23470	80	8	bioresources	bioresource	NOUN
brj-23470	80	9	19(3	19(3	NUM
brj-23470	80	10	)	)	PUNCT
brj-23470	80	11	,	,	PUNCT
brj-23470	80	12	4941	4941	NUM
brj-23470	80	13	-	-	SYM
brj-23470	80	14	4959	4959	NUM
brj-23470	80	15	.	.	PUNCT
brj-23470	81	1	4944	4944	NUM
brj-23470	81	2	correlation	correlation	NOUN
brj-23470	81	3	analysis	analysis	NOUN
brj-23470	81	4	was	be	AUX
brj-23470	81	5	used	use	VERB
brj-23470	81	6	to	to	PART
brj-23470	81	7	determine	determine	VERB
brj-23470	81	8	the	the	DET
brj-23470	81	9	correlation	correlation	NOUN
brj-23470	81	10	between	between	ADP
brj-23470	81	11	orp	orp	PROPN
brj-23470	81	12	and	and	CCONJ
brj-23470	81	13	various	various	ADJ
brj-23470	81	14	water	water	NOUN
brj-23470	81	15	quality	quality	NOUN
brj-23470	81	16	parameters	parameter	NOUN
brj-23470	81	17	.	.	PUNCT
brj-23470	82	1	subsequently	subsequently	ADV
brj-23470	82	2	,	,	PUNCT
brj-23470	82	3	principal	principal	ADJ
brj-23470	82	4	component	component	NOUN
brj-23470	82	5	analysis	analysis	NOUN
brj-23470	82	6	(	(	PUNCT
brj-23470	82	7	pca	pca	NOUN
brj-23470	82	8	)	)	PUNCT
brj-23470	82	9	was	be	AUX
brj-23470	82	10	used	use	VERB
brj-23470	82	11	to	to	PART
brj-23470	82	12	reduce	reduce	VERB
brj-23470	82	13	dimensionality	dimensionality	NOUN
brj-23470	82	14	and	and	CCONJ
brj-23470	82	15	form	form	NOUN
brj-23470	82	16	water	water	NOUN
brj-23470	82	17	quality	quality	NOUN
brj-23470	82	18	evaluation	evaluation	NOUN
brj-23470	82	19	index	index	NOUN
brj-23470	82	20	based	base	VERB
brj-23470	82	21	on	on	ADP
brj-23470	82	22	water	water	NOUN
brj-23470	82	23	quality	quality	NOUN
brj-23470	82	24	parameters	parameter	NOUN
brj-23470	82	25	that	that	PRON
brj-23470	82	26	were	be	AUX
brj-23470	82	27	highly	highly	ADV
brj-23470	82	28	correlated	correlate	VERB
brj-23470	82	29	with	with	ADP
brj-23470	82	30	orp	orp	PROPN
brj-23470	82	31	.	.	PUNCT
brj-23470	83	1	the	the	DET
brj-23470	83	2	neural	neural	ADJ
brj-23470	83	3	network	network	NOUN
brj-23470	83	4	analysis	analysis	NOUN
brj-23470	83	5	was	be	AUX
brj-23470	83	6	then	then	ADV
brj-23470	83	7	applied	apply	VERB
brj-23470	83	8	to	to	PART
brj-23470	83	9	predict	predict	VERB
brj-23470	83	10	the	the	DET
brj-23470	83	11	corresponding	correspond	VERB
brj-23470	83	12	relationship	relationship	NOUN
brj-23470	83	13	between	between	ADP
brj-23470	83	14	the	the	DET
brj-23470	83	15	eutrophication	eutrophication	NOUN
brj-23470	83	16	-	-	PUNCT
brj-23470	83	17	related	relate	VERB
brj-23470	83	18	index	index	NOUN
brj-23470	83	19	and	and	CCONJ
brj-23470	83	20	orp	orp	PROPN
brj-23470	83	21	.	.	PUNCT
brj-23470	84	1	finally	finally	ADV
brj-23470	84	2	,	,	PUNCT
brj-23470	84	3	a	a	DET
brj-23470	84	4	mathematical	mathematical	ADJ
brj-23470	84	5	formula	formula	NOUN
brj-23470	84	6	model	model	NOUN
brj-23470	84	7	for	for	ADP
brj-23470	84	8	the	the	DET
brj-23470	84	9	relationship	relationship	NOUN
brj-23470	84	10	between	between	ADP
brj-23470	84	11	orp	orp	PROPN
brj-23470	84	12	and	and	CCONJ
brj-23470	84	13	the	the	DET
brj-23470	84	14	eutrophication	eutrophication	NOUN
brj-23470	84	15	-	-	PUNCT
brj-23470	84	16	related	relate	VERB
brj-23470	84	17	index	index	NOUN
brj-23470	84	18	was	be	AUX
brj-23470	84	19	established	establish	VERB
brj-23470	84	20	using	use	VERB
brj-23470	84	21	mathematical	mathematical	ADJ
brj-23470	84	22	fitting	fitting	ADJ
brj-23470	84	23	methods	method	NOUN
brj-23470	84	24	,	,	PUNCT
brj-23470	84	25	elucidating	elucidate	VERB
brj-23470	84	26	the	the	DET
brj-23470	84	27	underlying	underlie	VERB
brj-23470	84	28	patterns	pattern	NOUN
brj-23470	84	29	and	and	CCONJ
brj-23470	84	30	achieving	achieve	VERB
brj-23470	84	31	rapid	rapid	ADJ
brj-23470	84	32	water	water	NOUN
brj-23470	84	33	quality	quality	NOUN
brj-23470	84	34	warning	warning	NOUN
brj-23470	84	35	,	,	PUNCT
brj-23470	84	36	thereby	thereby	ADV
brj-23470	84	37	providing	provide	VERB
brj-23470	84	38	a	a	DET
brj-23470	84	39	theoretical	theoretical	ADJ
brj-23470	84	40	basis	basis	NOUN
brj-23470	84	41	for	for	ADP
brj-23470	84	42	reservoir	reservoir	NOUN
brj-23470	84	43	management	management	NOUN
brj-23470	84	44	.	.	PUNCT
brj-23470	85	1	in	in	ADP
brj-23470	85	2	addition	addition	NOUN
brj-23470	85	3	,	,	PUNCT
brj-23470	85	4	this	this	DET
brj-23470	85	5	research	research	NOUN
brj-23470	85	6	method	method	NOUN
brj-23470	85	7	has	have	AUX
brj-23470	85	8	been	be	AUX
brj-23470	85	9	applied	apply	VERB
brj-23470	85	10	in	in	ADP
brj-23470	85	11	different	different	ADJ
brj-23470	85	12	reservoirs	reservoir	NOUN
brj-23470	85	13	to	to	PART
brj-23470	85	14	further	far	ADV
brj-23470	85	15	confirm	confirm	VERB
brj-23470	85	16	the	the	DET
brj-23470	85	17	results	result	NOUN
brj-23470	85	18	.	.	PUNCT
brj-23470	86	1	therefore	therefore	ADV
brj-23470	86	2	,	,	PUNCT
brj-23470	86	3	the	the	DET
brj-23470	86	4	methodology	methodology	NOUN
brj-23470	86	5	proposed	propose	VERB
brj-23470	86	6	in	in	ADP
brj-23470	86	7	this	this	DET
brj-23470	86	8	study	study	NOUN
brj-23470	86	9	can	can	AUX
brj-23470	86	10	be	be	AUX
brj-23470	86	11	applied	apply	VERB
brj-23470	86	12	to	to	ADP
brj-23470	86	13	other	other	ADJ
brj-23470	86	14	analogous	analogous	ADJ
brj-23470	86	15	water	water	NOUN
brj-23470	86	16	environmental	environmental	ADJ
brj-23470	86	17	systems	system	NOUN
brj-23470	86	18	.	.	PUNCT
brj-23470	87	1	this	this	DET
brj-23470	87	2	study	study	NOUN
brj-23470	87	3	proposes	propose	VERB
brj-23470	87	4	different	different	ADJ
brj-23470	87	5	methods	method	NOUN
brj-23470	87	6	to	to	PART
brj-23470	87	7	establish	establish	VERB
brj-23470	87	8	the	the	DET
brj-23470	87	9	relationship	relationship	NOUN
brj-23470	87	10	between	between	ADP
brj-23470	87	11	eutrophication	eutrophication	NOUN
brj-23470	87	12	and	and	CCONJ
brj-23470	87	13	orp	orp	PROPN
brj-23470	87	14	and	and	CCONJ
brj-23470	87	15	further	far	ADV
brj-23470	87	16	enhances	enhance	VERB
brj-23470	87	17	the	the	DET
brj-23470	87	18	mathematical	mathematical	ADJ
brj-23470	87	19	model	model	NOUN
brj-23470	87	20	depicting	depict	VERB
brj-23470	87	21	their	their	PRON
brj-23470	87	22	correlation	correlation	NOUN
brj-23470	87	23	,	,	PUNCT
brj-23470	87	24	showcasing	showcase	VERB
brj-23470	87	25	significant	significant	ADJ
brj-23470	87	26	innovation	innovation	NOUN
brj-23470	87	27	.	.	PUNCT
brj-23470	88	1	experimental	experimental	ADJ
brj-23470	88	2	study	study	NOUN
brj-23470	88	3	area	area	NOUN
brj-23470	88	4	the	the	DET
brj-23470	88	5	main	main	ADJ
brj-23470	88	6	research	research	NOUN
brj-23470	88	7	area	area	NOUN
brj-23470	88	8	of	of	ADP
brj-23470	88	9	this	this	DET
brj-23470	88	10	study	study	NOUN
brj-23470	88	11	was	be	AUX
brj-23470	88	12	the	the	DET
brj-23470	88	13	shihe	shihe	ADJ
brj-23470	88	14	reservoir	reservoir	NOUN
brj-23470	88	15	.	.	PUNCT
brj-23470	89	1	the	the	DET
brj-23470	89	2	shihe	shihe	PROPN
brj-23470	89	3	reservoir	reservoir	PROPN
brj-23470	89	4	is	be	AUX
brj-23470	89	5	located	locate	VERB
brj-23470	89	6	on	on	ADP
brj-23470	89	7	the	the	DET
brj-23470	89	8	mainstream	mainstream	NOUN
brj-23470	89	9	of	of	ADP
brj-23470	89	10	the	the	DET
brj-23470	89	11	shihe	shihe	PROPN
brj-23470	89	12	river	river	NOUN
brj-23470	89	13	,	,	PUNCT
brj-23470	89	14	north	north	ADV
brj-23470	89	15	of	of	ADP
brj-23470	89	16	xiaochen	xiaochen	PROPN
brj-23470	89	17	village	village	PROPN
brj-23470	89	18	shan	shan	PROPN
brj-23470	89	19	kou	kou	PROPN
brj-23470	89	20	,	,	PUNCT
brj-23470	89	21	in	in	ADP
brj-23470	89	22	shanhaiguan	shanhaiguan	PROPN
brj-23470	89	23	district	district	PROPN
brj-23470	89	24	,	,	PUNCT
brj-23470	89	25	qinhuangdao	qinhuangdao	PROPN
brj-23470	89	26	city	city	PROPN
brj-23470	89	27	,	,	PUNCT
brj-23470	89	28	hebei	hebei	PROPN
brj-23470	89	29	province	province	PROPN
brj-23470	89	30	,	,	PUNCT
brj-23470	89	31	china	china	PROPN
brj-23470	89	32	.	.	PUNCT
brj-23470	90	1	the	the	DET
brj-23470	90	2	location	location	NOUN
brj-23470	90	3	of	of	ADP
brj-23470	90	4	the	the	DET
brj-23470	90	5	reservoir	reservoir	NOUN
brj-23470	90	6	in	in	ADP
brj-23470	90	7	the	the	DET
brj-23470	90	8	north	north	NOUN
brj-23470	90	9	temperate	temperate	ADJ
brj-23470	90	10	monsoon	monsoon	NOUN
brj-23470	90	11	climate	climate	NOUN
brj-23470	90	12	zone	zone	NOUN
brj-23470	90	13	has	have	VERB
brj-23470	90	14	implications	implication	NOUN
brj-23470	90	15	for	for	ADP
brj-23470	90	16	its	its	PRON
brj-23470	90	17	water	water	NOUN
brj-23470	90	18	availability	availability	NOUN
brj-23470	90	19	and	and	CCONJ
brj-23470	90	20	overall	overall	ADJ
brj-23470	90	21	ecology	ecology	NOUN
brj-23470	90	22	.	.	PUNCT
brj-23470	91	1	during	during	ADP
brj-23470	91	2	the	the	DET
brj-23470	91	3	wet	wet	ADJ
brj-23470	91	4	season	season	NOUN
brj-23470	91	5	,	,	PUNCT
brj-23470	91	6	there	there	PRON
brj-23470	91	7	may	may	AUX
brj-23470	91	8	be	be	AUX
brj-23470	91	9	higher	high	ADJ
brj-23470	91	10	precipitation	precipitation	NOUN
brj-23470	91	11	levels	level	NOUN
brj-23470	91	12	,	,	PUNCT
brj-23470	91	13	leading	lead	VERB
brj-23470	91	14	to	to	ADP
brj-23470	91	15	increased	increase	VERB
brj-23470	91	16	water	water	NOUN
brj-23470	91	17	inflow	inflow	NOUN
brj-23470	91	18	into	into	ADP
brj-23470	91	19	the	the	DET
brj-23470	91	20	reservoir	reservoir	NOUN
brj-23470	91	21	.	.	PUNCT
brj-23470	92	1	during	during	ADP
brj-23470	92	2	the	the	DET
brj-23470	92	3	dry	dry	ADJ
brj-23470	92	4	season	season	NOUN
brj-23470	92	5	,	,	PUNCT
brj-23470	92	6	there	there	PRON
brj-23470	92	7	may	may	AUX
brj-23470	92	8	be	be	AUX
brj-23470	92	9	lower	low	ADJ
brj-23470	92	10	precipitation	precipitation	NOUN
brj-23470	92	11	levels	level	NOUN
brj-23470	92	12	,	,	PUNCT
brj-23470	92	13	leading	lead	VERB
brj-23470	92	14	to	to	ADP
brj-23470	92	15	reduced	reduce	VERB
brj-23470	92	16	water	water	NOUN
brj-23470	92	17	inflow	inflow	NOUN
brj-23470	92	18	and	and	CCONJ
brj-23470	92	19	potentially	potentially	ADV
brj-23470	92	20	lower	low	ADJ
brj-23470	92	21	water	water	NOUN
brj-23470	92	22	levels	level	NOUN
brj-23470	92	23	in	in	ADP
brj-23470	92	24	the	the	DET
brj-23470	92	25	reservoir	reservoir	NOUN
brj-23470	92	26	.	.	PUNCT
brj-23470	93	1	with	with	ADP
brj-23470	93	2	a	a	DET
brj-23470	93	3	total	total	ADJ
brj-23470	93	4	storage	storage	NOUN
brj-23470	93	5	capacity	capacity	NOUN
brj-23470	93	6	of	of	ADP
brj-23470	93	7	70	70	NUM
brj-23470	93	8	million	million	NUM
brj-23470	93	9	m3	m3	PROPN
brj-23470	93	10	,	,	PUNCT
brj-23470	93	11	the	the	DET
brj-23470	93	12	shihe	shihe	ADJ
brj-23470	93	13	reservoir	reservoir	PROPN
brj-23470	93	14	serves	serve	VERB
brj-23470	93	15	as	as	ADP
brj-23470	93	16	an	an	DET
brj-23470	93	17	important	important	ADJ
brj-23470	93	18	drinking	drinking	NOUN
brj-23470	93	19	water	water	NOUN
brj-23470	93	20	resource	resource	NOUN
brj-23470	93	21	for	for	ADP
brj-23470	93	22	shanhaiguan	shanhaiguan	ADJ
brj-23470	93	23	region	region	NOUN
brj-23470	93	24	of	of	ADP
brj-23470	93	25	qinhuangdao	qinhuangdao	PROPN
brj-23470	93	26	city	city	NOUN
brj-23470	93	27	.	.	PUNCT
brj-23470	94	1	the	the	DET
brj-23470	94	2	normal	normal	ADJ
brj-23470	94	3	water	water	NOUN
brj-23470	94	4	level	level	NOUN
brj-23470	94	5	of	of	ADP
brj-23470	94	6	the	the	DET
brj-23470	94	7	shihe	shihe	ADJ
brj-23470	94	8	reservoir	reservoir	NOUN
brj-23470	94	9	is	be	AUX
brj-23470	94	10	56.70	56.70	NUM
brj-23470	94	11	m	m	NOUN
brj-23470	94	12	,	,	PUNCT
brj-23470	94	13	and	and	CCONJ
brj-23470	94	14	the	the	DET
brj-23470	94	15	design	design	NOUN
brj-23470	94	16	flood	flood	NOUN
brj-23470	94	17	level	level	NOUN
brj-23470	94	18	is	be	AUX
brj-23470	94	19	56.99	56.99	NUM
brj-23470	94	20	m.	m.	NOUN
brj-23470	94	21	this	this	DET
brj-23470	94	22	level	level	NOUN
brj-23470	94	23	ensures	ensure	VERB
brj-23470	94	24	that	that	SCONJ
brj-23470	94	25	the	the	DET
brj-23470	94	26	reservoir	reservoir	NOUN
brj-23470	94	27	can	can	AUX
brj-23470	94	28	safely	safely	ADV
brj-23470	94	29	manage	manage	VERB
brj-23470	94	30	and	and	CCONJ
brj-23470	94	31	mitigate	mitigate	VERB
brj-23470	94	32	flood	flood	NOUN
brj-23470	94	33	risks	risk	NOUN
brj-23470	94	34	in	in	ADP
brj-23470	94	35	the	the	DET
brj-23470	94	36	surrounding	surround	VERB
brj-23470	94	37	area	area	NOUN
brj-23470	94	38	.	.	PUNCT
brj-23470	95	1	shihe	shihe	PROPN
brj-23470	95	2	reservoir	reservoir	PROPN
brj-23470	95	3	has	have	VERB
brj-23470	95	4	a	a	DET
brj-23470	95	5	catchment	catchment	NOUN
brj-23470	95	6	area	area	NOUN
brj-23470	95	7	of	of	ADP
brj-23470	95	8	28.2	28.2	NUM
brj-23470	95	9	km2	km2	NOUN
brj-23470	95	10	.	.	PUNCT
brj-23470	96	1	the	the	DET
brj-23470	96	2	catchment	catchment	NOUN
brj-23470	96	3	area	area	NOUN
brj-23470	96	4	plays	play	VERB
brj-23470	96	5	a	a	DET
brj-23470	96	6	crucial	crucial	ADJ
brj-23470	96	7	role	role	NOUN
brj-23470	96	8	in	in	ADP
brj-23470	96	9	determining	determine	VERB
brj-23470	96	10	the	the	DET
brj-23470	96	11	amount	amount	NOUN
brj-23470	96	12	of	of	ADP
brj-23470	96	13	water	water	NOUN
brj-23470	96	14	that	that	PRON
brj-23470	96	15	can	can	AUX
brj-23470	96	16	be	be	AUX
brj-23470	96	17	stored	store	VERB
brj-23470	96	18	in	in	ADP
brj-23470	96	19	the	the	DET
brj-23470	96	20	reservoir	reservoir	NOUN
brj-23470	96	21	,	,	PUNCT
brj-23470	96	22	as	as	ADV
brj-23470	96	23	well	well	ADV
brj-23470	96	24	as	as	ADP
brj-23470	96	25	the	the	DET
brj-23470	96	26	overall	overall	ADJ
brj-23470	96	27	water	water	NOUN
brj-23470	96	28	quality	quality	NOUN
brj-23470	96	29	.	.	PUNCT
brj-23470	97	1	referring	refer	VERB
brj-23470	97	2	to	to	ADP
brj-23470	97	3	the	the	DET
brj-23470	97	4	authors	author	NOUN
brj-23470	97	5	’	’	PART
brj-23470	97	6	previous	previous	ADJ
brj-23470	97	7	research	research	NOUN
brj-23470	97	8	(	(	PUNCT
brj-23470	97	9	zhang	zhang	PROPN
brj-23470	97	10	and	and	CCONJ
brj-23470	97	11	liu	liu	PROPN
brj-23470	97	12	2020	2020	NUM
brj-23470	97	13	)	)	PUNCT
brj-23470	97	14	,	,	PUNCT
brj-23470	97	15	the	the	DET
brj-23470	97	16	water	water	NOUN
brj-23470	97	17	sampling	sample	VERB
brj-23470	97	18	site	site	NOUN
brj-23470	97	19	under	under	ADP
brj-23470	97	20	dam	dam	NOUN
brj-23470	97	21	(	(	PUNCT
brj-23470	97	22	119	119	PROPN
brj-23470	97	23	°	°	PROPN
brj-23470	97	24	71′28″	71′28″	NUM
brj-23470	97	25	e	e	NOUN
brj-23470	97	26	,	,	PUNCT
brj-23470	97	27	40	40	NUM
brj-23470	97	28	°	°	NUM
brj-23470	97	29	03′34″n	03′34″n	NOUN
brj-23470	97	30	)	)	PUNCT
brj-23470	97	31	was	be	AUX
brj-23470	97	32	still	still	ADV
brj-23470	97	33	chosen	choose	VERB
brj-23470	97	34	in	in	ADP
brj-23470	97	35	this	this	DET
brj-23470	97	36	study	study	NOUN
brj-23470	97	37	to	to	PART
brj-23470	97	38	monitor	monitor	VERB
brj-23470	97	39	the	the	DET
brj-23470	97	40	water	water	NOUN
brj-23470	97	41	quality	quality	NOUN
brj-23470	97	42	of	of	ADP
brj-23470	97	43	the	the	DET
brj-23470	97	44	reservoir	reservoir	PROPN
brj-23470	97	45	outlet	outlet	NOUN
brj-23470	97	46	.	.	PUNCT
brj-23470	98	1	the	the	DET
brj-23470	98	2	selection	selection	NOUN
brj-23470	98	3	of	of	ADP
brj-23470	98	4	this	this	DET
brj-23470	98	5	specific	specific	ADJ
brj-23470	98	6	sampling	sampling	NOUN
brj-23470	98	7	site	site	NOUN
brj-23470	98	8	was	be	AUX
brj-23470	98	9	based	base	VERB
brj-23470	98	10	on	on	ADP
brj-23470	98	11	the	the	DET
brj-23470	98	12	understanding	understanding	NOUN
brj-23470	98	13	that	that	PRON
brj-23470	98	14	the	the	DET
brj-23470	98	15	water	water	NOUN
brj-23470	98	16	quality	quality	NOUN
brj-23470	98	17	measured	measure	VERB
brj-23470	98	18	here	here	ADV
brj-23470	98	19	would	would	AUX
brj-23470	98	20	provide	provide	VERB
brj-23470	98	21	the	the	DET
brj-23470	98	22	most	most	ADV
brj-23470	98	23	accurate	accurate	ADJ
brj-23470	98	24	representation	representation	NOUN
brj-23470	98	25	of	of	ADP
brj-23470	98	26	the	the	DET
brj-23470	98	27	water	water	NOUN
brj-23470	98	28	supply	supply	NOUN
brj-23470	98	29	quality	quality	NOUN
brj-23470	98	30	.	.	PUNCT
brj-23470	99	1	by	by	ADP
brj-23470	99	2	selecting	select	VERB
brj-23470	99	3	this	this	DET
brj-23470	99	4	sampling	sampling	NOUN
brj-23470	99	5	site	site	NOUN
brj-23470	99	6	,	,	PUNCT
brj-23470	99	7	the	the	DET
brj-23470	99	8	aim	aim	NOUN
brj-23470	99	9	was	be	AUX
brj-23470	99	10	to	to	PART
brj-23470	99	11	ensure	ensure	VERB
brj-23470	99	12	that	that	SCONJ
brj-23470	99	13	the	the	DET
brj-23470	99	14	collected	collect	VERB
brj-23470	99	15	data	datum	NOUN
brj-23470	99	16	accurately	accurately	ADV
brj-23470	99	17	reflect	reflect	VERB
brj-23470	99	18	the	the	DET
brj-23470	99	19	quality	quality	NOUN
brj-23470	99	20	of	of	ADP
brj-23470	99	21	water	water	NOUN
brj-23470	99	22	that	that	PRON
brj-23470	99	23	will	will	AUX
brj-23470	99	24	be	be	AUX
brj-23470	99	25	distributed	distribute	VERB
brj-23470	99	26	to	to	ADP
brj-23470	99	27	consumers	consumer	NOUN
brj-23470	99	28	.	.	PUNCT
brj-23470	100	1	at	at	ADP
brj-23470	100	2	the	the	DET
brj-23470	100	3	same	same	ADJ
brj-23470	100	4	time	time	NOUN
brj-23470	100	5	,	,	PUNCT
brj-23470	100	6	to	to	PART
brj-23470	100	7	confirm	confirm	VERB
brj-23470	100	8	that	that	SCONJ
brj-23470	100	9	the	the	DET
brj-23470	100	10	results	result	NOUN
brj-23470	100	11	obtained	obtain	VERB
brj-23470	100	12	from	from	ADP
brj-23470	100	13	the	the	DET
brj-23470	100	14	study	study	NOUN
brj-23470	100	15	can	can	AUX
brj-23470	100	16	be	be	AUX
brj-23470	100	17	applied	apply	VERB
brj-23470	100	18	in	in	ADP
brj-23470	100	19	other	other	ADJ
brj-23470	100	20	reservoirs	reservoir	NOUN
brj-23470	100	21	,	,	PUNCT
brj-23470	100	22	yanghe	yanghe	PROPN
brj-23470	100	23	reservoir	reservoir	NOUN
brj-23470	100	24	was	be	AUX
brj-23470	100	25	selected	select	VERB
brj-23470	100	26	as	as	ADP
brj-23470	100	27	the	the	DET
brj-23470	100	28	water	water	NOUN
brj-23470	100	29	sample	sample	NOUN
brj-23470	100	30	sampling	sampling	NOUN
brj-23470	100	31	point	point	NOUN
brj-23470	100	32	.	.	PUNCT
brj-23470	101	1	the	the	DET
brj-23470	101	2	yanghe	yanghe	PROPN
brj-23470	101	3	reservoir	reservoir	NOUN
brj-23470	101	4	is	be	AUX
brj-23470	101	5	located	locate	VERB
brj-23470	101	6	in	in	ADP
brj-23470	101	7	the	the	DET
brj-23470	101	8	north	north	NOUN
brj-23470	101	9	of	of	ADP
brj-23470	101	10	dawanzi	dawanzi	PROPN
brj-23470	101	11	village	village	NOUN
brj-23470	101	12	,	,	PUNCT
brj-23470	101	13	funing	fune	VERB
brj-23470	101	14	district	district	NOUN
brj-23470	101	15	,	,	PUNCT
brj-23470	101	16	qinhuangdao	qinhuangdao	PROPN
brj-23470	101	17	city	city	PROPN
brj-23470	101	18	,	,	PUNCT
brj-23470	101	19	hebei	hebei	PROPN
brj-23470	101	20	province	province	PROPN
brj-23470	101	21	.	.	PUNCT
brj-23470	102	1	it	it	PRON
brj-23470	102	2	covers	cover	VERB
brj-23470	102	3	an	an	DET
brj-23470	102	4	area	area	NOUN
brj-23470	102	5	of	of	ADP
brj-23470	102	6	755	755	NUM
brj-23470	102	7	square	square	ADJ
brj-23470	102	8	kilometers	kilometer	NOUN
brj-23470	102	9	,	,	PUNCT
brj-23470	102	10	with	with	ADP
brj-23470	102	11	a	a	DET
brj-23470	102	12	total	total	ADJ
brj-23470	102	13	storage	storage	NOUN
brj-23470	102	14	capacity	capacity	NOUN
brj-23470	102	15	of	of	ADP
brj-23470	102	16	386	386	NUM
brj-23470	102	17	million	million	NUM
brj-23470	102	18	cubic	cubic	ADJ
brj-23470	102	19	meters	meter	NOUN
brj-23470	102	20	and	and	CCONJ
brj-23470	102	21	an	an	DET
brj-23470	102	22	irrigation	irrigation	NOUN
brj-23470	102	23	area	area	NOUN
brj-23470	102	24	of	of	ADP
brj-23470	102	25	126,000	126,000	NUM
brj-23470	102	26	mu	mu	NOUN
brj-23470	102	27	.	.	PUNCT
brj-23470	103	1	the	the	DET
brj-23470	103	2	annual	annual	ADJ
brj-23470	103	3	average	average	ADJ
brj-23470	103	4	rainfall	rainfall	NOUN
brj-23470	103	5	is	be	AUX
brj-23470	103	6	750	750	NUM
brj-23470	103	7	mm	mm	NOUN
brj-23470	103	8	and	and	CCONJ
brj-23470	103	9	the	the	DET
brj-23470	103	10	annual	annual	ADJ
brj-23470	103	11	average	average	ADJ
brj-23470	103	12	runoff	runoff	NOUN
brj-23470	103	13	is	be	AUX
brj-23470	103	14	169	169	NUM
brj-23470	103	15	million	million	NUM
brj-23470	103	16	cubic	cubic	ADJ
brj-23470	103	17	meters	meter	NOUN
brj-23470	103	18	,	,	PUNCT
brj-23470	103	19	accounting	account	VERB
brj-23470	103	20	for	for	ADP
brj-23470	103	21	about	about	ADV
brj-23470	103	22	70	70	NUM
brj-23470	103	23	%	%	NOUN
brj-23470	103	24	of	of	ADP
brj-23470	103	25	the	the	DET
brj-23470	103	26	flood	flood	NOUN
brj-23470	103	27	season	season	NOUN
brj-23470	103	28	runoff	runoff	NOUN
brj-23470	103	29	.	.	PUNCT
brj-23470	104	1	samples	sample	NOUN
brj-23470	104	2	were	be	AUX
brj-23470	104	3	taken	take	VERB
brj-23470	104	4	at	at	ADP
brj-23470	104	5	119	119	NUM
brj-23470	104	6	°	°	NOUN
brj-23470	104	7	2	2	NUM
brj-23470	104	8	'	'	NUM
brj-23470	104	9	1	1	NUM
brj-23470	104	10	"	"	PUNCT
brj-23470	104	11	e	e	NOUN
brj-23470	104	12	,	,	PUNCT
brj-23470	104	13	39	39	NUM
brj-23470	104	14	°	°	NOUN
brj-23470	104	15	9	9	NUM
brj-23470	104	16	'	'	PART
brj-23470	104	17	9	9	NUM
brj-23470	104	18	"	"	PUNCT
brj-23470	104	19	n.	n.	NOUN
brj-23470	104	20	peer	peer	NOUN
brj-23470	104	21	-	-	PUNCT
brj-23470	104	22	reviewed	review	VERB
brj-23470	104	23	article	article	NOUN
brj-23470	104	24	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	104	25	zhang	zhang	PROPN
brj-23470	104	26	et	et	PROPN
brj-23470	104	27	al	al	PROPN
brj-23470	104	28	.	.	PROPN
brj-23470	105	1	(	(	PUNCT
brj-23470	105	2	2024	2024	NUM
brj-23470	105	3	)	)	PUNCT
brj-23470	105	4	.	.	PUNCT
brj-23470	106	1	“	"	PUNCT
brj-23470	106	2	activated	activate	VERB
brj-23470	106	3	carbon	carbon	NOUN
brj-23470	106	4	from	from	ADP
brj-23470	106	5	sludge	sludge	NOUN
brj-23470	106	6	,	,	PUNCT
brj-23470	106	7	”	"	PUNCT
brj-23470	106	8	bioresources	bioresource	NOUN
brj-23470	106	9	19(3	19(3	NUM
brj-23470	106	10	)	)	PUNCT
brj-23470	106	11	,	,	PUNCT
brj-23470	106	12	4941	4941	NUM
brj-23470	106	13	-	-	SYM
brj-23470	106	14	4959	4959	NUM
brj-23470	106	15	.	.	PUNCT
brj-23470	107	1	4945	4945	NUM
brj-23470	107	2	sampling	sampling	NOUN
brj-23470	107	3	and	and	CCONJ
brj-23470	107	4	measurement	measurement	NOUN
brj-23470	107	5	methods	method	NOUN
brj-23470	107	6	the	the	DET
brj-23470	107	7	sampling	sampling	NOUN
brj-23470	107	8	method	method	NOUN
brj-23470	107	9	was	be	AUX
brj-23470	107	10	the	the	DET
brj-23470	107	11	same	same	ADJ
brj-23470	107	12	as	as	ADP
brj-23470	107	13	the	the	DET
brj-23470	107	14	authors	author	NOUN
brj-23470	107	15	’	’	PART
brj-23470	107	16	previous	previous	ADJ
brj-23470	107	17	study	study	NOUN
brj-23470	107	18	.	.	PUNCT
brj-23470	108	1	since	since	SCONJ
brj-23470	108	2	the	the	DET
brj-23470	108	3	surface	surface	NOUN
brj-23470	108	4	layer	layer	NOUN
brj-23470	108	5	water	water	NOUN
brj-23470	108	6	from	from	ADP
brj-23470	108	7	the	the	DET
brj-23470	108	8	reservoir	reservoir	NOUN
brj-23470	108	9	is	be	AUX
brj-23470	108	10	used	use	VERB
brj-23470	108	11	for	for	ADP
brj-23470	108	12	water	water	NOUN
brj-23470	108	13	supply	supply	NOUN
brj-23470	108	14	purposes	purpose	NOUN
brj-23470	108	15	,	,	PUNCT
brj-23470	108	16	it	it	PRON
brj-23470	108	17	makes	make	VERB
brj-23470	108	18	sense	sense	NOUN
brj-23470	108	19	to	to	PART
brj-23470	108	20	specifically	specifically	ADV
brj-23470	108	21	analyze	analyze	VERB
brj-23470	108	22	the	the	DET
brj-23470	108	23	quality	quality	NOUN
brj-23470	108	24	and	and	CCONJ
brj-23470	108	25	characteristics	characteristic	NOUN
brj-23470	108	26	of	of	ADP
brj-23470	108	27	this	this	DET
brj-23470	108	28	water	water	NOUN
brj-23470	108	29	.	.	PUNCT
brj-23470	109	1	surface	surface	NOUN
brj-23470	109	2	water	water	NOUN
brj-23470	109	3	samples	sample	NOUN
brj-23470	109	4	were	be	AUX
brj-23470	109	5	collected	collect	VERB
brj-23470	109	6	at	at	ADP
brj-23470	109	7	a	a	DET
brj-23470	109	8	depth	depth	NOUN
brj-23470	109	9	of	of	ADP
brj-23470	109	10	0.5	0.5	NUM
brj-23470	109	11	meters	meter	NOUN
brj-23470	109	12	underwater	underwater	NOUN
brj-23470	109	13	,	,	PUNCT
brj-23470	109	14	from	from	ADP
brj-23470	109	15	the	the	DET
brj-23470	109	16	sampling	sample	VERB
brj-23470	109	17	site	site	NOUN
brj-23470	109	18	,	,	PUNCT
brj-23470	109	19	throughout	throughout	ADP
brj-23470	109	20	the	the	DET
brj-23470	109	21	period	period	NOUN
brj-23470	109	22	from	from	ADP
brj-23470	109	23	january	january	PROPN
brj-23470	109	24	2022	2022	NUM
brj-23470	109	25	to	to	ADP
brj-23470	109	26	december	december	PROPN
brj-23470	109	27	2023	2023	NUM
brj-23470	109	28	.	.	PUNCT
brj-23470	110	1	the	the	DET
brj-23470	110	2	sampling	sample	VERB
brj-23470	110	3	frequency	frequency	NOUN
brj-23470	110	4	was	be	AUX
brj-23470	110	5	twice	twice	ADV
brj-23470	110	6	a	a	DET
brj-23470	110	7	week	week	NOUN
brj-23470	110	8	(	(	PUNCT
brj-23470	110	9	always	always	ADV
brj-23470	110	10	monday	monday	PROPN
brj-23470	110	11	and	and	CCONJ
brj-23470	110	12	thursday	thursday	PROPN
brj-23470	110	13	)	)	PUNCT
brj-23470	110	14	.	.	PUNCT
brj-23470	111	1	the	the	DET
brj-23470	111	2	sampling	sampling	NOUN
brj-23470	111	3	was	be	AUX
brj-23470	111	4	carried	carry	VERB
brj-23470	111	5	out	out	ADP
brj-23470	111	6	during	during	ADP
brj-23470	111	7	relatively	relatively	ADV
brj-23470	111	8	warmer	warm	ADJ
brj-23470	111	9	periods	period	NOUN
brj-23470	111	10	(	(	PUNCT
brj-23470	111	11	12:00	12:00	NUM
brj-23470	111	12	noon	noon	NOUN
brj-23470	111	13	)	)	PUNCT
brj-23470	111	14	.	.	PUNCT
brj-23470	112	1	the	the	DET
brj-23470	112	2	collected	collect	VERB
brj-23470	112	3	water	water	NOUN
brj-23470	112	4	samples	sample	NOUN
brj-23470	112	5	were	be	AUX
brj-23470	112	6	still	still	ADV
brj-23470	112	7	analyzed	analyze	VERB
brj-23470	112	8	following	follow	VERB
brj-23470	112	9	the	the	DET
brj-23470	112	10	china	china	PROPN
brj-23470	112	11	standard	standard	PROPN
brj-23470	112	12	for	for	ADP
brj-23470	112	13	surface	surface	NOUN
brj-23470	112	14	water	water	NOUN
brj-23470	112	15	environmental	environmental	ADJ
brj-23470	112	16	quality	quality	NOUN
brj-23470	112	17	(	(	PUNCT
brj-23470	112	18	gb3838	gb3838	NOUN
brj-23470	112	19	-	-	PUNCT
brj-23470	112	20	2002	2002	NUM
brj-23470	112	21	)	)	PUNCT
brj-23470	112	22	and	and	CCONJ
brj-23470	112	23	water	water	NOUN
brj-23470	112	24	and	and	CCONJ
brj-23470	112	25	wastewater	wastewater	NOUN
brj-23470	112	26	monitoring	monitoring	NOUN
brj-23470	112	27	and	and	CCONJ
brj-23470	112	28	analysis	analysis	NOUN
brj-23470	112	29	method	method	NOUN
brj-23470	112	30	(	(	PUNCT
brj-23470	112	31	fourth	fourth	ADJ
brj-23470	112	32	edition	edition	NOUN
brj-23470	112	33	)	)	PUNCT
brj-23470	112	34	published	publish	VERB
brj-23470	112	35	by	by	ADP
brj-23470	112	36	the	the	DET
brj-23470	112	37	state	state	PROPN
brj-23470	112	38	environmental	environmental	PROPN
brj-23470	112	39	protection	protection	PROPN
brj-23470	112	40	agency	agency	PROPN
brj-23470	112	41	.	.	PUNCT
brj-23470	113	1	measured	measure	VERB
brj-23470	113	2	parameters	parameter	NOUN
brj-23470	113	3	included	include	VERB
brj-23470	113	4	chemical	chemical	NOUN
brj-23470	113	5	oxygen	oxygen	NOUN
brj-23470	113	6	demand	demand	NOUN
brj-23470	113	7	,	,	PUNCT
brj-23470	113	8	ammonia	ammonia	NOUN
brj-23470	113	9	nitrogen	nitrogen	NOUN
brj-23470	113	10	,	,	PUNCT
brj-23470	113	11	nitrate	nitrate	NOUN
brj-23470	113	12	nitrogen	nitrogen	NOUN
brj-23470	113	13	,	,	PUNCT
brj-23470	113	14	total	total	ADJ
brj-23470	113	15	phosphorus	phosphorus	NOUN
brj-23470	113	16	,	,	PUNCT
brj-23470	113	17	total	total	ADJ
brj-23470	113	18	nitrogen	nitrogen	NOUN
brj-23470	113	19	,	,	PUNCT
brj-23470	113	20	chromium	chromium	NOUN
brj-23470	113	21	ion	ion	NOUN
brj-23470	113	22	,	,	PUNCT
brj-23470	113	23	biological	biological	ADJ
brj-23470	113	24	oxygen	oxygen	NOUN
brj-23470	113	25	demand	demand	NOUN
brj-23470	113	26	,	,	PUNCT
brj-23470	113	27	fluoride	fluoride	NOUN
brj-23470	113	28	,	,	PUNCT
brj-23470	113	29	cyanobacteria	cyanobacteria	NOUN
brj-23470	113	30	,	,	PUNCT
brj-23470	113	31	and	and	CCONJ
brj-23470	113	32	chla	chla	NOUN
brj-23470	113	33	.	.	PUNCT
brj-23470	114	1	other	other	ADJ
brj-23470	114	2	routine	routine	ADJ
brj-23470	114	3	parameters	parameter	NOUN
brj-23470	114	4	including	include	VERB
brj-23470	114	5	temperature	temperature	NOUN
brj-23470	114	6	,	,	PUNCT
brj-23470	114	7	ph	ph	NOUN
brj-23470	114	8	,	,	PUNCT
brj-23470	114	9	do	do	VERB
brj-23470	114	10	,	,	PUNCT
brj-23470	114	11	turbidity	turbidity	NOUN
brj-23470	114	12	,	,	PUNCT
brj-23470	114	13	conductivity	conductivity	NOUN
brj-23470	114	14	,	,	PUNCT
brj-23470	114	15	and	and	CCONJ
brj-23470	114	16	orp	orp	PROPN
brj-23470	114	17	were	be	AUX
brj-23470	114	18	carried	carry	VERB
brj-23470	114	19	out	out	ADP
brj-23470	114	20	by	by	ADP
brj-23470	114	21	instruments	instrument	NOUN
brj-23470	114	22	(	(	PUNCT
brj-23470	114	23	hach	hach	NOUN
brj-23470	114	24	,	,	PUNCT
brj-23470	114	25	usa	usa	PROPN
brj-23470	114	26	)	)	PUNCT
brj-23470	114	27	.	.	PUNCT
brj-23470	115	1	all	all	DET
brj-23470	115	2	testing	testing	NOUN
brj-23470	115	3	was	be	AUX
brj-23470	115	4	carried	carry	VERB
brj-23470	115	5	out	out	ADP
brj-23470	115	6	in	in	ADP
brj-23470	115	7	accordance	accordance	NOUN
brj-23470	115	8	with	with	ADP
brj-23470	115	9	the	the	DET
brj-23470	115	10	requirements	requirement	NOUN
brj-23470	115	11	of	of	ADP
brj-23470	115	12	the	the	DET
brj-23470	115	13	specifications	specification	NOUN
brj-23470	115	14	.	.	PUNCT
brj-23470	116	1	to	to	PART
brj-23470	116	2	ensure	ensure	VERB
brj-23470	116	3	accuracy	accuracy	NOUN
brj-23470	116	4	,	,	PUNCT
brj-23470	116	5	the	the	DET
brj-23470	116	6	average	average	ADJ
brj-23470	116	7	values	value	NOUN
brj-23470	116	8	for	for	ADP
brj-23470	116	9	each	each	DET
brj-23470	116	10	parameter	parameter	NOUN
brj-23470	116	11	were	be	AUX
brj-23470	116	12	calculated	calculate	VERB
brj-23470	116	13	based	base	VERB
brj-23470	116	14	on	on	ADP
brj-23470	116	15	three	three	NUM
brj-23470	116	16	repeated	repeat	VERB
brj-23470	116	17	test	test	NOUN
brj-23470	116	18	results	result	NOUN
brj-23470	116	19	.	.	PUNCT
brj-23470	117	1	this	this	DET
brj-23470	117	2	methodology	methodology	NOUN
brj-23470	117	3	can	can	AUX
brj-23470	117	4	provide	provide	VERB
brj-23470	117	5	a	a	DET
brj-23470	117	6	more	more	ADV
brj-23470	117	7	reliable	reliable	ADJ
brj-23470	117	8	representation	representation	NOUN
brj-23470	117	9	of	of	ADP
brj-23470	117	10	the	the	DET
brj-23470	117	11	overall	overall	ADJ
brj-23470	117	12	water	water	NOUN
brj-23470	117	13	quality	quality	NOUN
brj-23470	117	14	at	at	ADP
brj-23470	117	15	the	the	DET
brj-23470	117	16	sampling	sample	VERB
brj-23470	117	17	site	site	NOUN
brj-23470	117	18	.	.	PUNCT
brj-23470	118	1	parametric	parametric	ADJ
brj-23470	118	2	correlation	correlation	NOUN
brj-23470	118	3	analysis	analysis	NOUN
brj-23470	118	4	correlation	correlation	NOUN
brj-23470	118	5	analysis	analysis	NOUN
brj-23470	118	6	was	be	AUX
brj-23470	118	7	used	use	VERB
brj-23470	118	8	to	to	PART
brj-23470	118	9	measure	measure	VERB
brj-23470	118	10	the	the	DET
brj-23470	118	11	linear	linear	ADJ
brj-23470	118	12	relationship	relationship	NOUN
brj-23470	118	13	between	between	ADP
brj-23470	118	14	two	two	NUM
brj-23470	118	15	variables	variable	NOUN
brj-23470	118	16	x	x	PUNCT
brj-23470	118	17	and	and	CCONJ
brj-23470	118	18	y	y	PROPN
brj-23470	118	19	,	,	PUNCT
brj-23470	118	20	and	and	CCONJ
brj-23470	118	21	the	the	DET
brj-23470	118	22	correlation	correlation	NOUN
brj-23470	118	23	coefficient	coefficient	NOUN
brj-23470	118	24	values	value	NOUN
brj-23470	118	25	range	range	VERB
brj-23470	118	26	from	from	ADP
brj-23470	118	27	-1	-1	INTJ
brj-23470	118	28	to	to	ADP
brj-23470	118	29	1	1	NUM
brj-23470	118	30	.	.	PUNCT
brj-23470	119	1	the	the	DET
brj-23470	119	2	calculation	calculation	NOUN
brj-23470	119	3	was	be	AUX
brj-23470	119	4	as	as	SCONJ
brj-23470	119	5	follows	follow	VERB
brj-23470	119	6	,	,	PUNCT
brj-23470	119	7	r(x，y	r(x，y	PROPN
brj-23470	119	8	)	)	PUNCT
brj-23470	119	9	=	=	SYM
brj-23470	119	10	𝐶𝑜𝑣(𝑋,𝑌	𝐶𝑜𝑣(𝑋,𝑌	NUM
brj-23470	119	11	)	)	PUNCT
brj-23470	120	1	√𝑉𝑎𝑟[𝑋]𝑉𝑎𝑟[𝑌	√𝑉𝑎𝑟[𝑋]𝑉𝑎𝑟[𝑌	X
brj-23470	120	2	]	]	X
brj-23470	120	3	(	(	PUNCT
brj-23470	120	4	1	1	X
brj-23470	120	5	)	)	PUNCT
brj-23470	120	6	where	where	SCONJ
brj-23470	120	7	cov(x	cov(x	PROPN
brj-23470	120	8	,	,	PUNCT
brj-23470	120	9	y	y	PROPN
brj-23470	120	10	)	)	PUNCT
brj-23470	120	11	represents	represent	VERB
brj-23470	120	12	the	the	DET
brj-23470	120	13	covariance	covariance	NOUN
brj-23470	120	14	between	between	ADP
brj-23470	120	15	x	x	PROPN
brj-23470	120	16	and	and	CCONJ
brj-23470	120	17	y	y	PROPN
brj-23470	120	18	,	,	PUNCT
brj-23470	120	19	var[x	var[x	PROPN
brj-23470	120	20	]	]	PUNCT
brj-23470	120	21	represents	represent	VERB
brj-23470	120	22	the	the	DET
brj-23470	120	23	variance	variance	NOUN
brj-23470	120	24	of	of	ADP
brj-23470	120	25	x	x	NOUN
brj-23470	120	26	,	,	PUNCT
brj-23470	120	27	and	and	CCONJ
brj-23470	120	28	var[y	var[y	NOUN
brj-23470	120	29	]	]	PUNCT
brj-23470	120	30	represents	represent	VERB
brj-23470	120	31	the	the	DET
brj-23470	120	32	variance	variance	NOUN
brj-23470	120	33	of	of	ADP
brj-23470	120	34	y.	y.	PROPN
brj-23470	120	35	the	the	DET
brj-23470	120	36	pearson	pearson	PROPN
brj-23470	120	37	correlation	correlation	PROPN
brj-23470	120	38	coefficient	coefficient	NOUN
brj-23470	120	39	,	,	PUNCT
brj-23470	120	40	denoted	denote	VERB
brj-23470	120	41	as	as	ADP
brj-23470	120	42	r(x	r(x	PROPN
brj-23470	120	43	,	,	PUNCT
brj-23470	120	44	y	y	PROPN
brj-23470	120	45	)	)	PUNCT
brj-23470	120	46	,	,	PUNCT
brj-23470	120	47	ranging	range	VERB
brj-23470	120	48	from	from	ADP
brj-23470	120	49	-1	-1	INTJ
brj-23470	120	50	to	to	ADP
brj-23470	120	51	1	1	NUM
brj-23470	120	52	,	,	PUNCT
brj-23470	120	53	indicates	indicate	VERB
brj-23470	120	54	the	the	DET
brj-23470	120	55	degree	degree	NOUN
brj-23470	120	56	of	of	ADP
brj-23470	120	57	linear	linear	PROPN
brj-23470	120	58	relationship	relationship	NOUN
brj-23470	120	59	between	between	ADP
brj-23470	120	60	two	two	NUM
brj-23470	120	61	variables	variable	NOUN
brj-23470	120	62	x	x	PUNCT
brj-23470	120	63	and	and	CCONJ
brj-23470	120	64	y.	y.	NOUN
brj-23470	120	65	when	when	SCONJ
brj-23470	120	66	the	the	DET
brj-23470	120	67	correlation	correlation	NOUN
brj-23470	120	68	coefficient	coefficient	NOUN
brj-23470	120	69	r(x	r(x	PROPN
brj-23470	120	70	,	,	PUNCT
brj-23470	120	71	y	y	NOUN
brj-23470	120	72	)	)	PUNCT
brj-23470	120	73	is	be	AUX
brj-23470	120	74	close	close	ADJ
brj-23470	120	75	to	to	ADP
brj-23470	120	76	zero	zero	NUM
brj-23470	120	77	,	,	PUNCT
brj-23470	120	78	it	it	PRON
brj-23470	120	79	suggests	suggest	VERB
brj-23470	120	80	that	that	SCONJ
brj-23470	120	81	there	there	PRON
brj-23470	120	82	is	be	VERB
brj-23470	120	83	no	no	DET
brj-23470	120	84	linear	linear	ADJ
brj-23470	120	85	correlation	correlation	NOUN
brj-23470	120	86	between	between	ADP
brj-23470	120	87	the	the	DET
brj-23470	120	88	variables	variable	NOUN
brj-23470	120	89	.	.	PUNCT
brj-23470	121	1	if	if	SCONJ
brj-23470	121	2	the	the	DET
brj-23470	121	3	coefficient	coefficient	NOUN
brj-23470	121	4	r(x	r(x	PROPN
brj-23470	121	5	,	,	PUNCT
brj-23470	121	6	y	y	NOUN
brj-23470	121	7	)	)	PUNCT
brj-23470	121	8	is	be	AUX
brj-23470	121	9	close	close	ADJ
brj-23470	121	10	to	to	ADP
brj-23470	121	11	1	1	NUM
brj-23470	121	12	,	,	PUNCT
brj-23470	121	13	it	it	PRON
brj-23470	121	14	indicates	indicate	VERB
brj-23470	121	15	a	a	DET
brj-23470	121	16	strong	strong	ADJ
brj-23470	121	17	linear	linear	ADJ
brj-23470	121	18	correlation	correlation	NOUN
brj-23470	121	19	between	between	ADP
brj-23470	121	20	the	the	DET
brj-23470	121	21	variables	variable	NOUN
brj-23470	121	22	.	.	PUNCT
brj-23470	122	1	a	a	DET
brj-23470	122	2	positive	positive	ADJ
brj-23470	122	3	correlation	correlation	NOUN
brj-23470	122	4	coefficient	coefficient	NOUN
brj-23470	122	5	(	(	PUNCT
brj-23470	122	6	>	>	NOUN
brj-23470	122	7	0	0	NUM
brj-23470	122	8	)	)	PUNCT
brj-23470	122	9	implies	imply	VERB
brj-23470	122	10	a	a	DET
brj-23470	122	11	positive	positive	ADJ
brj-23470	122	12	correlation	correlation	NOUN
brj-23470	122	13	,	,	PUNCT
brj-23470	122	14	while	while	SCONJ
brj-23470	122	15	a	a	DET
brj-23470	122	16	negative	negative	ADJ
brj-23470	122	17	correlation	correlation	NOUN
brj-23470	122	18	coefficient	coefficient	NOUN
brj-23470	122	19	(	(	PUNCT
brj-23470	122	20	<	<	X
brj-23470	122	21	0	0	NUM
brj-23470	122	22	)	)	PUNCT
brj-23470	122	23	suggests	suggest	VERB
brj-23470	122	24	a	a	DET
brj-23470	122	25	negative	negative	ADJ
brj-23470	122	26	correlation	correlation	NOUN
brj-23470	122	27	(	(	PUNCT
brj-23470	122	28	zhang	zhang	X
brj-23470	122	29	et	et	PROPN
brj-23470	122	30	al	al	PROPN
brj-23470	122	31	.	.	PROPN
brj-23470	122	32	2022	2022	NUM
brj-23470	122	33	)	)	PUNCT
brj-23470	122	34	.	.	PUNCT
brj-23470	123	1	principal	principal	ADJ
brj-23470	123	2	component	component	NOUN
brj-23470	123	3	analysis	analysis	NOUN
brj-23470	123	4	(	(	PUNCT
brj-23470	123	5	pca	pca	PROPN
brj-23470	123	6	)	)	PUNCT
brj-23470	123	7	the	the	DET
brj-23470	123	8	principal	principal	ADJ
brj-23470	123	9	component	component	NOUN
brj-23470	123	10	analysis	analysis	NOUN
brj-23470	123	11	(	(	PUNCT
brj-23470	123	12	pca	pca	NOUN
brj-23470	123	13	)	)	PUNCT
brj-23470	123	14	is	be	AUX
brj-23470	123	15	to	to	PART
brj-23470	123	16	achieve	achieve	VERB
brj-23470	123	17	dimensionality	dimensionality	NOUN
brj-23470	123	18	reduction	reduction	NOUN
brj-23470	123	19	through	through	ADP
brj-23470	123	20	orthogonal	orthogonal	ADJ
brj-23470	123	21	transformation	transformation	NOUN
brj-23470	123	22	of	of	ADP
brj-23470	123	23	the	the	DET
brj-23470	123	24	original	original	ADJ
brj-23470	123	25	data	datum	NOUN
brj-23470	123	26	.	.	PUNCT
brj-23470	124	1	it	it	PRON
brj-23470	124	2	uses	use	VERB
brj-23470	124	3	a	a	DET
brj-23470	124	4	set	set	NOUN
brj-23470	124	5	of	of	ADP
brj-23470	124	6	linearly	linearly	ADV
brj-23470	124	7	independent	independent	ADJ
brj-23470	124	8	principal	principal	ADJ
brj-23470	124	9	components	component	NOUN
brj-23470	124	10	to	to	PART
brj-23470	124	11	represent	represent	VERB
brj-23470	124	12	the	the	DET
brj-23470	124	13	majority	majority	NOUN
brj-23470	124	14	of	of	ADP
brj-23470	124	15	information	information	NOUN
brj-23470	124	16	in	in	ADP
brj-23470	124	17	the	the	DET
brj-23470	124	18	original	original	ADJ
brj-23470	124	19	data	datum	NOUN
brj-23470	124	20	.	.	PUNCT
brj-23470	125	1	the	the	DET
brj-23470	125	2	method	method	NOUN
brj-23470	125	3	is	be	AUX
brj-23470	125	4	generally	generally	ADV
brj-23470	125	5	divided	divide	VERB
brj-23470	125	6	into	into	ADP
brj-23470	125	7	the	the	DET
brj-23470	125	8	following	follow	VERB
brj-23470	125	9	steps	step	NOUN
brj-23470	125	10	(	(	PUNCT
brj-23470	125	11	zhu	zhu	X
brj-23470	125	12	et	et	PROPN
brj-23470	125	13	al	al	PROPN
brj-23470	125	14	.	.	PROPN
brj-23470	125	15	2021	2021	NUM
brj-23470	125	16	):	):	PUNCT
brj-23470	125	17	1	1	NUM
brj-23470	125	18	)	)	PUNCT
brj-23470	125	19	to	to	PART
brj-23470	125	20	eliminate	eliminate	VERB
brj-23470	125	21	the	the	DET
brj-23470	125	22	influence	influence	NOUN
brj-23470	125	23	of	of	ADP
brj-23470	125	24	different	different	ADJ
brj-23470	125	25	scales	scale	NOUN
brj-23470	125	26	,	,	PUNCT
brj-23470	125	27	the	the	DET
brj-23470	125	28	original	original	ADJ
brj-23470	125	29	data	data	NOUN
brj-23470	125	30	is	be	AUX
brj-23470	125	31	standardized	standardize	VERB
brj-23470	125	32	using	use	VERB
brj-23470	125	33	mean	mean	ADJ
brj-23470	125	34	normalization	normalization	NOUN
brj-23470	125	35	.	.	PUNCT
brj-23470	126	1	this	this	DET
brj-23470	126	2	standardization	standardization	NOUN
brj-23470	126	3	method	method	NOUN
brj-23470	126	4	retains	retain	VERB
brj-23470	126	5	the	the	DET
brj-23470	126	6	variation	variation	NOUN
brj-23470	126	7	information	information	NOUN
brj-23470	126	8	among	among	ADP
brj-23470	126	9	variables	variable	NOUN
brj-23470	126	10	of	of	ADP
brj-23470	126	11	the	the	DET
brj-23470	126	12	same	same	ADJ
brj-23470	126	13	type	type	NOUN
brj-23470	126	14	while	while	SCONJ
brj-23470	126	15	eliminating	eliminate	VERB
brj-23470	126	16	the	the	DET
brj-23470	126	17	interference	interference	NOUN
brj-23470	126	18	of	of	ADP
brj-23470	126	19	different	different	ADJ
brj-23470	126	20	scales	scale	NOUN
brj-23470	126	21	.	.	PUNCT
brj-23470	127	1	the	the	DET
brj-23470	127	2	calculation	calculation	NOUN
brj-23470	127	3	is	be	AUX
brj-23470	127	4	as	as	SCONJ
brj-23470	127	5	follows	follow	VERB
brj-23470	127	6	,	,	PUNCT
brj-23470	127	7	mxab	mxab	PROPN
brj-23470	127	8	=	=	SYM
brj-23470	127	9	xab	xab	PROPN
brj-23470	127	10	meanxa	meanxa	NOUN
brj-23470	127	11	(	(	PUNCT
brj-23470	127	12	2	2	NUM
brj-23470	127	13	)	)	PUNCT
brj-23470	127	14	where	where	SCONJ
brj-23470	127	15	mxab	mxab	PROPN
brj-23470	127	16	represents	represent	VERB
brj-23470	127	17	the	the	DET
brj-23470	127	18	standardized	standardized	ADJ
brj-23470	127	19	value	value	NOUN
brj-23470	127	20	of	of	ADP
brj-23470	127	21	the	the	DET
brj-23470	127	22	b	b	NOUN
brj-23470	127	23	-	-	PUNCT
brj-23470	127	24	th	th	VERB
brj-23470	127	25	data	data	NOUN
brj-23470	127	26	point	point	NOUN
brj-23470	127	27	of	of	ADP
brj-23470	127	28	the	the	DET
brj-23470	127	29	a	a	PRON
brj-23470	127	30	-	-	PUNCT
brj-23470	127	31	th	th	NOUN
brj-23470	127	32	variable	variable	NOUN
brj-23470	127	33	,	,	PUNCT
brj-23470	127	34	peer	peer	NOUN
brj-23470	127	35	-	-	PUNCT
brj-23470	127	36	reviewed	review	VERB
brj-23470	127	37	article	article	NOUN
brj-23470	127	38	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	127	39	zhang	zhang	PROPN
brj-23470	127	40	et	et	PROPN
brj-23470	127	41	al	al	PROPN
brj-23470	127	42	.	.	PROPN
brj-23470	128	1	(	(	PUNCT
brj-23470	128	2	2024	2024	NUM
brj-23470	128	3	)	)	PUNCT
brj-23470	128	4	.	.	PUNCT
brj-23470	129	1	“	"	PUNCT
brj-23470	129	2	activated	activate	VERB
brj-23470	129	3	carbon	carbon	NOUN
brj-23470	129	4	from	from	ADP
brj-23470	129	5	sludge	sludge	NOUN
brj-23470	129	6	,	,	PUNCT
brj-23470	129	7	”	"	PUNCT
brj-23470	129	8	bioresources	bioresource	NOUN
brj-23470	129	9	19(3	19(3	NUM
brj-23470	129	10	)	)	PUNCT
brj-23470	129	11	,	,	PUNCT
brj-23470	129	12	4941	4941	NUM
brj-23470	129	13	-	-	SYM
brj-23470	129	14	4959	4959	NUM
brj-23470	129	15	.	.	PUNCT
brj-23470	130	1	4946	4946	NUM
brj-23470	130	2	xab	xab	PROPN
brj-23470	130	3	represents	represent	VERB
brj-23470	130	4	the	the	DET
brj-23470	130	5	original	original	ADJ
brj-23470	130	6	value	value	NOUN
brj-23470	130	7	of	of	ADP
brj-23470	130	8	the	the	DET
brj-23470	130	9	b	b	NOUN
brj-23470	130	10	-	-	PUNCT
brj-23470	130	11	th	th	VERB
brj-23470	130	12	data	data	NOUN
brj-23470	130	13	point	point	NOUN
brj-23470	130	14	of	of	ADP
brj-23470	130	15	the	the	DET
brj-23470	130	16	a	a	PRON
brj-23470	130	17	-	-	PUNCT
brj-23470	130	18	th	th	NOUN
brj-23470	130	19	variable	variable	NOUN
brj-23470	130	20	,	,	PUNCT
brj-23470	130	21	and	and	CCONJ
brj-23470	130	22	mean	mean	VERB
brj-23470	130	23	xa	xa	PROPN
brj-23470	130	24	represents	represent	VERB
brj-23470	130	25	the	the	DET
brj-23470	130	26	mean	mean	ADJ
brj-23470	130	27	value	value	NOUN
brj-23470	130	28	of	of	ADP
brj-23470	130	29	the	the	DET
brj-23470	130	30	a	a	PRON
brj-23470	130	31	-	-	PUNCT
brj-23470	130	32	th	th	NOUN
brj-23470	130	33	variable	variable	NOUN
brj-23470	130	34	.	.	PUNCT
brj-23470	131	1	2	2	X
brj-23470	131	2	)	)	PUNCT
brj-23470	131	3	the	the	DET
brj-23470	131	4	correlation	correlation	NOUN
brj-23470	131	5	matrix	matrix	NOUN
brj-23470	131	6	p	p	NOUN
brj-23470	131	7	of	of	ADP
brj-23470	131	8	the	the	DET
brj-23470	131	9	standardized	standardized	ADJ
brj-23470	131	10	values	value	NOUN
brj-23470	131	11	mxab	mxab	PROPN
brj-23470	131	12	is	be	AUX
brj-23470	131	13	calculated	calculate	VERB
brj-23470	131	14	.	.	PUNCT
brj-23470	132	1	3	3	X
brj-23470	132	2	)	)	PUNCT
brj-23470	132	3	the	the	DET
brj-23470	132	4	eigenvalues	eigenvalues	PROPN
brj-23470	132	5	(	(	PUNCT
brj-23470	132	6	βa	βa	NUM
brj-23470	132	7	)	)	PUNCT
brj-23470	132	8	and	and	CCONJ
brj-23470	132	9	eigenvectors	eigenvector	NOUN
brj-23470	132	10	of	of	ADP
brj-23470	132	11	p	p	NOUN
brj-23470	132	12	are	be	AUX
brj-23470	132	13	calculated	calculate	VERB
brj-23470	132	14	,	,	PUNCT
brj-23470	132	15	and	and	CCONJ
brj-23470	132	16	the	the	DET
brj-23470	132	17	eigenvectors	eigenvector	NOUN
brj-23470	132	18	are	be	AUX
brj-23470	132	19	arranged	arrange	VERB
brj-23470	132	20	in	in	ADP
brj-23470	132	21	descending	descend	VERB
brj-23470	132	22	order	order	NOUN
brj-23470	132	23	.	.	PUNCT
brj-23470	133	1	4	4	X
brj-23470	133	2	)	)	PUNCT
brj-23470	133	3	the	the	DET
brj-23470	133	4	cumulative	cumulative	ADJ
brj-23470	133	5	variance	variance	NOUN
brj-23470	133	6	contribution	contribution	NOUN
brj-23470	133	7	rate	rate	NOUN
brj-23470	133	8	to	to	PART
brj-23470	133	9	determine	determine	VERB
brj-23470	133	10	the	the	DET
brj-23470	133	11	number	number	NOUN
brj-23470	133	12	of	of	ADP
brj-23470	133	13	principal	principal	ADJ
brj-23470	133	14	components	component	NOUN
brj-23470	133	15	is	be	AUX
brj-23470	133	16	calculated	calculate	VERB
brj-23470	133	17	.	.	PUNCT
brj-23470	134	1	the	the	DET
brj-23470	134	2	sum	sum	NOUN
brj-23470	134	3	of	of	ADP
brj-23470	134	4	the	the	DET
brj-23470	134	5	previous	previous	ADJ
brj-23470	134	6	y	y	PROPN
brj-23470	134	7	eigenvalues	eigenvalue	VERB
brj-23470	134	8	accounts	account	NOUN
brj-23470	134	9	for	for	ADP
brj-23470	134	10	the	the	DET
brj-23470	134	11	percentage	percentage	NOUN
brj-23470	134	12	of	of	ADP
brj-23470	134	13	the	the	DET
brj-23470	134	14	total	total	ADJ
brj-23470	134	15	eigenvalues	eigenvalue	NOUN
brj-23470	134	16	as	as	SCONJ
brj-23470	134	17	the	the	DET
brj-23470	134	18	cumulative	cumulative	ADJ
brj-23470	134	19	variance	variance	NOUN
brj-23470	134	20	contribution	contribution	NOUN
brj-23470	134	21	k.	k.	PROPN
brj-23470	134	22	5	5	NUM
brj-23470	134	23	)	)	PUNCT
brj-23470	134	24	the	the	DET
brj-23470	134	25	values	value	NOUN
brj-23470	134	26	of	of	ADP
brj-23470	134	27	principal	principal	ADJ
brj-23470	134	28	component	component	NOUN
brj-23470	134	29	fa	fa	PROPN
brj-23470	134	30	are	be	AUX
brj-23470	134	31	calculated	calculate	VERB
brj-23470	134	32	and	and	CCONJ
brj-23470	134	33	the	the	DET
brj-23470	134	34	overall	overall	ADJ
brj-23470	134	35	composite	composite	ADJ
brj-23470	134	36	score	score	NOUN
brj-23470	134	37	of	of	ADP
brj-23470	134	38	the	the	DET
brj-23470	134	39	principal	principal	ADJ
brj-23470	134	40	components	component	NOUN
brj-23470	134	41	f	f	PROPN
brj-23470	134	42	is	be	AUX
brj-23470	134	43	obtained	obtain	VERB
brj-23470	134	44	by	by	ADP
brj-23470	134	45	eq	eq	NOUN
brj-23470	134	46	.	.	PROPN
brj-23470	135	1	3	3	X
brj-23470	135	2	.	.	PUNCT
brj-23470	135	3	f	f	X
brj-23470	136	1	=	=	PUNCT
brj-23470	136	2	∑	∑	PROPN
brj-23470	136	3	βa	βa	INTJ
brj-23470	136	4	β1+β2+β3+⋯	β1+β2+β3+⋯	ADJ
brj-23470	136	5	…	…	PUNCT
brj-23470	136	6	+βy	+βy	PROPN
brj-23470	136	7	fa1≤a≤y	fa1≤a≤y	NOUN
brj-23470	136	8	(	(	PUNCT
brj-23470	136	9	3	3	NUM
brj-23470	136	10	)	)	PUNCT
brj-23470	136	11	the	the	DET
brj-23470	136	12	bp	bp	PROPN
brj-23470	136	13	artificial	artificial	ADJ
brj-23470	136	14	neural	neural	ADJ
brj-23470	136	15	network	network	NOUN
brj-23470	136	16	analysis	analysis	NOUN
brj-23470	136	17	the	the	DET
brj-23470	136	18	bp	bp	PROPN
brj-23470	136	19	artificial	artificial	ADJ
brj-23470	136	20	neural	neural	ADJ
brj-23470	136	21	network	network	NOUN
brj-23470	136	22	,	,	PUNCT
brj-23470	136	23	also	also	ADV
brj-23470	136	24	known	know	VERB
brj-23470	136	25	as	as	ADP
brj-23470	136	26	backpropagation	backpropagation	NOUN
brj-23470	136	27	neural	neural	ADJ
brj-23470	136	28	network	network	NOUN
brj-23470	136	29	,	,	PUNCT
brj-23470	136	30	is	be	AUX
brj-23470	136	31	a	a	DET
brj-23470	136	32	commonly	commonly	ADV
brj-23470	136	33	used	use	VERB
brj-23470	136	34	artificial	artificial	ADJ
brj-23470	136	35	neural	neural	ADJ
brj-23470	136	36	network	network	NOUN
brj-23470	136	37	model	model	NOUN
brj-23470	136	38	.	.	PUNCT
brj-23470	137	1	it	it	PRON
brj-23470	137	2	consists	consist	VERB
brj-23470	137	3	of	of	ADP
brj-23470	137	4	neural	neural	ADJ
brj-23470	137	5	units	unit	NOUN
brj-23470	137	6	as	as	ADP
brj-23470	137	7	the	the	DET
brj-23470	137	8	smallest	small	ADJ
brj-23470	137	9	building	building	NOUN
brj-23470	137	10	blocks	block	NOUN
brj-23470	137	11	,	,	PUNCT
brj-23470	137	12	with	with	ADP
brj-23470	137	13	multiple	multiple	ADJ
brj-23470	137	14	neural	neural	ADJ
brj-23470	137	15	units	unit	NOUN
brj-23470	137	16	forming	form	VERB
brj-23470	137	17	the	the	DET
brj-23470	137	18	input	input	NOUN
brj-23470	137	19	layer	layer	NOUN
brj-23470	137	20	,	,	PUNCT
brj-23470	137	21	hidden	hidden	ADJ
brj-23470	137	22	layers	layer	NOUN
brj-23470	137	23	,	,	PUNCT
brj-23470	137	24	and	and	CCONJ
brj-23470	137	25	output	output	NOUN
brj-23470	137	26	layer	layer	NOUN
brj-23470	137	27	(	(	PUNCT
brj-23470	137	28	shlens	shlen	NOUN
brj-23470	137	29	2014	2014	NUM
brj-23470	137	30	)	)	PUNCT
brj-23470	137	31	.	.	PUNCT
brj-23470	138	1	the	the	DET
brj-23470	138	2	information	information	NOUN
brj-23470	138	3	is	be	AUX
brj-23470	138	4	shared	share	VERB
brj-23470	138	5	among	among	ADP
brj-23470	138	6	these	these	DET
brj-23470	138	7	three	three	NUM
brj-23470	138	8	layers	layer	NOUN
brj-23470	138	9	with	with	ADP
brj-23470	138	10	different	different	ADJ
brj-23470	138	11	permissions	permission	NOUN
brj-23470	138	12	and	and	CCONJ
brj-23470	138	13	boundaries	boundary	NOUN
brj-23470	138	14	.	.	PUNCT
brj-23470	139	1	to	to	PART
brj-23470	139	2	start	start	VERB
brj-23470	139	3	the	the	DET
brj-23470	139	4	algorithm	algorithm	NOUN
brj-23470	139	5	,	,	PUNCT
brj-23470	139	6	a	a	DET
brj-23470	139	7	set	set	NOUN
brj-23470	139	8	of	of	ADP
brj-23470	139	9	random	random	ADJ
brj-23470	139	10	weights	weight	NOUN
brj-23470	139	11	and	and	CCONJ
brj-23470	139	12	thresholds	threshold	NOUN
brj-23470	139	13	ɑix	ɑix	NOUN
brj-23470	139	14	is	be	AUX
brj-23470	139	15	generated	generate	VERB
brj-23470	139	16	.	.	PUNCT
brj-23470	140	1	the	the	DET
brj-23470	140	2	term	term	NOUN
brj-23470	140	3	ɑix	ɑix	NOUN
brj-23470	140	4	represents	represent	VERB
brj-23470	140	5	the	the	DET
brj-23470	140	6	weight	weight	NOUN
brj-23470	140	7	from	from	ADP
brj-23470	140	8	the	the	DET
brj-23470	140	9	j	j	PROPN
brj-23470	140	10	-	-	PUNCT
brj-23470	140	11	th	th	VERB
brj-23470	140	12	neuron	neuron	NOUN
brj-23470	140	13	in	in	ADP
brj-23470	140	14	the	the	DET
brj-23470	140	15	previous	previous	ADJ
brj-23470	140	16	layer	layer	NOUN
brj-23470	140	17	to	to	ADP
brj-23470	140	18	the	the	DET
brj-23470	140	19	i	i	PROPN
brj-23470	140	20	-	-	PUNCT
brj-23470	140	21	th	th	X
brj-23470	140	22	neuron	neuron	NOUN
brj-23470	140	23	in	in	ADP
brj-23470	140	24	the	the	DET
brj-23470	140	25	current	current	ADJ
brj-23470	140	26	layer	layer	NOUN
brj-23470	140	27	;	;	PUNCT
brj-23470	140	28	ɑix	ɑix	NOUN
brj-23470	140	29	represents	represent	VERB
brj-23470	140	30	the	the	DET
brj-23470	140	31	threshold	threshold	NOUN
brj-23470	140	32	of	of	ADP
brj-23470	140	33	the	the	DET
brj-23470	140	34	ith	ith	PROPN
brj-23470	140	35	neuron	neuron	NOUN
brj-23470	140	36	in	in	ADP
brj-23470	140	37	the	the	DET
brj-23470	140	38	x	x	NOUN
brj-23470	140	39	-	-	PUNCT
brj-23470	140	40	th	th	VERB
brj-23470	140	41	layer	layer	NOUN
brj-23470	140	42	,	,	PUNCT
brj-23470	140	43	where	where	SCONJ
brj-23470	140	44	x	x	X
brj-23470	140	45	=	=	SYM
brj-23470	140	46	1,2	1,2	NUM
brj-23470	140	47	,	,	PUNCT
brj-23470	140	48	...	...	PUNCT
brj-23470	140	49	,	,	PUNCT
brj-23470	140	50	m	m	PROPN
brj-23470	140	51	,	,	PUNCT
brj-23470	140	52	and	and	CCONJ
brj-23470	140	53	m	m	PROPN
brj-23470	140	54	is	be	AUX
brj-23470	140	55	the	the	DET
brj-23470	140	56	number	number	NOUN
brj-23470	140	57	of	of	ADP
brj-23470	140	58	layers;i	layers;i	ADJ
brj-23470	140	59	=	=	SYM
brj-23470	140	60	1,2	1,2	NUM
brj-23470	140	61	,	,	PUNCT
brj-23470	140	62	...	...	PUNCT
brj-23470	140	63	,	,	PUNCT
brj-23470	140	64	sm	sm	PROPN
brj-23470	140	65	;	;	PUNCT
brj-23470	140	66	j	j	PROPN
brj-23470	140	67	=	=	SYM
brj-23470	140	68	1,2	1,2	NUM
brj-23470	140	69	,	,	PUNCT
brj-23470	140	70	...	...	PUNCT
brj-23470	140	71	,	,	PUNCT
brj-23470	140	72	sx-1	sx-1	NUM
brj-23470	140	73	;	;	PUNCT
brj-23470	140	74	sx	sx	PROPN
brj-23470	140	75	represents	represent	VERB
brj-23470	140	76	the	the	DET
brj-23470	140	77	number	number	NOUN
brj-23470	140	78	of	of	ADP
brj-23470	140	79	neurons	neuron	NOUN
brj-23470	140	80	in	in	ADP
brj-23470	140	81	the	the	DET
brj-23470	140	82	x	x	NOUN
brj-23470	140	83	-	-	PUNCT
brj-23470	140	84	th	th	VERB
brj-23470	140	85	layer	layer	NOUN
brj-23470	140	86	.	.	PUNCT
brj-23470	141	1	after	after	ADP
brj-23470	141	2	running	run	VERB
brj-23470	141	3	the	the	DET
brj-23470	141	4	neural	neural	ADJ
brj-23470	141	5	network	network	NOUN
brj-23470	141	6	,	,	PUNCT
brj-23470	141	7	the	the	DET
brj-23470	141	8	network	network	NOUN
brj-23470	141	9	adjusts	adjust	VERB
brj-23470	141	10	the	the	DET
brj-23470	141	11	weights	weight	NOUN
brj-23470	141	12	and	and	CCONJ
brj-23470	141	13	thresholds	threshold	NOUN
brj-23470	141	14	based	base	VERB
brj-23470	141	15	on	on	ADP
brj-23470	141	16	the	the	DET
brj-23470	141	17	error	error	NOUN
brj-23470	141	18	between	between	ADP
brj-23470	141	19	the	the	DET
brj-23470	141	20	output	output	NOUN
brj-23470	141	21	values	value	NOUN
brj-23470	141	22	and	and	CCONJ
brj-23470	141	23	the	the	DET
brj-23470	141	24	actual	actual	ADJ
brj-23470	141	25	values	value	NOUN
brj-23470	141	26	,	,	PUNCT
brj-23470	141	27	in	in	ADP
brj-23470	141	28	order	order	NOUN
brj-23470	141	29	to	to	PART
brj-23470	141	30	minimize	minimize	VERB
brj-23470	141	31	the	the	DET
brj-23470	141	32	error	error	NOUN
brj-23470	141	33	tolerance	tolerance	NOUN
brj-23470	141	34	.	.	PUNCT
brj-23470	142	1	the	the	DET
brj-23470	142	2	error	error	NOUN
brj-23470	142	3	in	in	ADP
brj-23470	142	4	the	the	DET
brj-23470	142	5	output	output	NOUN
brj-23470	142	6	layer	layer	NOUN
brj-23470	142	7	can	can	AUX
brj-23470	142	8	be	be	AUX
brj-23470	142	9	represented	represent	VERB
brj-23470	142	10	as	as	ADP
brj-23470	142	11	follows	follow	VERB
brj-23470	142	12	,	,	PUNCT
brj-23470	142	13	f(x)=[t(n)-b(n)]t[t(n)-b(n	f(x)=[t(n)-b(n)]t[t(n)-b(n	PROPN
brj-23470	142	14	)	)	PUNCT
brj-23470	142	15	]	]	PUNCT
brj-23470	143	1	(	(	PUNCT
brj-23470	143	2	4	4	X
brj-23470	143	3	)	)	PUNCT
brj-23470	143	4	where	where	SCONJ
brj-23470	143	5	t(n	t(n	NOUN
brj-23470	143	6	)	)	PUNCT
brj-23470	143	7	represents	represent	VERB
brj-23470	143	8	the	the	DET
brj-23470	143	9	target	target	NOUN
brj-23470	143	10	variable	variable	ADJ
brj-23470	143	11	matrix	matrix	NOUN
brj-23470	143	12	at	at	ADP
brj-23470	143	13	the	the	DET
brj-23470	143	14	n	n	CCONJ
brj-23470	143	15	-	-	PUNCT
brj-23470	143	16	th	th	VERB
brj-23470	143	17	iteration	iteration	NOUN
brj-23470	143	18	,	,	PUNCT
brj-23470	143	19	and	and	CCONJ
brj-23470	143	20	o(n	o(n	NUM
brj-23470	143	21	)	)	PUNCT
brj-23470	143	22	represents	represent	VERB
brj-23470	143	23	the	the	DET
brj-23470	143	24	output	output	NOUN
brj-23470	143	25	variable	variable	ADJ
brj-23470	143	26	matrix	matrix	NOUN
brj-23470	143	27	at	at	ADP
brj-23470	143	28	the	the	DET
brj-23470	143	29	n	n	CCONJ
brj-23470	143	30	-	-	PUNCT
brj-23470	143	31	th	th	VERB
brj-23470	143	32	iteration	iteration	NOUN
brj-23470	143	33	.	.	PUNCT
brj-23470	144	1	when	when	SCONJ
brj-23470	144	2	the	the	DET
brj-23470	144	3	output	output	NOUN
brj-23470	144	4	values	value	NOUN
brj-23470	144	5	do	do	AUX
brj-23470	144	6	not	not	PART
brj-23470	144	7	meet	meet	VERB
brj-23470	144	8	the	the	DET
brj-23470	144	9	set	set	NOUN
brj-23470	144	10	accuracy	accuracy	NOUN
brj-23470	144	11	,	,	PUNCT
brj-23470	144	12	the	the	DET
brj-23470	144	13	backpropagation	backpropagation	NOUN
brj-23470	144	14	(	(	PUNCT
brj-23470	144	15	bp	bp	PROPN
brj-23470	144	16	)	)	PUNCT
brj-23470	144	17	neural	neural	ADJ
brj-23470	144	18	network	network	NOUN
brj-23470	144	19	will	will	AUX
brj-23470	144	20	propagate	propagate	VERB
brj-23470	144	21	the	the	DET
brj-23470	144	22	error	error	NOUN
brj-23470	144	23	backward	backward	ADV
brj-23470	144	24	.	.	PUNCT
brj-23470	145	1	under	under	ADP
brj-23470	145	2	the	the	DET
brj-23470	145	3	influence	influence	NOUN
brj-23470	145	4	of	of	ADP
brj-23470	145	5	training	training	NOUN
brj-23470	145	6	error	error	NOUN
brj-23470	145	7	,	,	PUNCT
brj-23470	145	8	the	the	DET
brj-23470	145	9	weight	weight	NOUN
brj-23470	145	10	correction	correction	NOUN
brj-23470	145	11	value	value	NOUN
brj-23470	145	12	is	be	AUX
brj-23470	145	13	calculated	calculate	VERB
brj-23470	145	14	as	as	SCONJ
brj-23470	145	15	follows	follow	VERB
brj-23470	145	16	,	,	PUNCT
brj-23470	145	17	wx	wx	PROPN
brj-23470	146	1	i	i	PRON
brj-23470	146	2	j(n+1)=wx	j(n+1)=wx	VERB
brj-23470	146	3	i	i	PRON
brj-23470	146	4	j(n)+£[wx	j(n)+£[wx	VERB
brj-23470	147	1	i	i	PRON
brj-23470	147	2	j(k)-wx	j(k)-wx	VERB
brj-23470	148	1	i	i	PRON
brj-23470	148	2	j(n-1)]-ɑ(1-£)sx	j(n-1)]-ɑ(1-£)sx	VERB
brj-23470	149	1	i	i	PRON
brj-23470	149	2	bx-1	bx-1	X
brj-23470	149	3	j	j	PROPN
brj-23470	149	4	(	(	PUNCT
brj-23470	149	5	5	5	NUM
brj-23470	149	6	)	)	PUNCT
brj-23470	149	7	the	the	DET
brj-23470	149	8	adjusted	adjust	VERB
brj-23470	149	9	value	value	NOUN
brj-23470	149	10	of	of	ADP
brj-23470	149	11	the	the	DET
brj-23470	149	12	threshold	threshold	NOUN
brj-23470	149	13	is	be	AUX
brj-23470	149	14	ɑx	ɑx	ADP
brj-23470	149	15	i	i	PRON
brj-23470	149	16	(	(	PUNCT
brj-23470	149	17	n+1)=ɑx	n+1)=ɑx	PROPN
brj-23470	149	18	i	i	INTJ
brj-23470	149	19	(	(	PUNCT
brj-23470	149	20	n)+£[ɑx	n)+£[ɑx	NOUN
brj-23470	149	21	i	i	PRON
brj-23470	149	22	(	(	PUNCT
brj-23470	149	23	n)-ɑx	n)-ɑx	PROPN
brj-23470	149	24	i	i	PRON
brj-23470	149	25	(	(	PUNCT
brj-23470	149	26	n-1)]-ɑ(1-£)si	n-1)]-ɑ(1-£)si	X
brj-23470	149	27	x	x	SYM
brj-23470	149	28	(	(	PUNCT
brj-23470	149	29	6	6	NUM
brj-23470	149	30	)	)	PUNCT
brj-23470	149	31	where	where	SCONJ
brj-23470	149	32	si	si	NOUN
brj-23470	149	33	x	x	PRON
brj-23470	149	34	represents	represent	VERB
brj-23470	149	35	the	the	DET
brj-23470	149	36	sensitivity	sensitivity	NOUN
brj-23470	149	37	of	of	ADP
brj-23470	149	38	the	the	DET
brj-23470	149	39	i	i	PROPN
brj-23470	149	40	-	-	PUNCT
brj-23470	149	41	th	th	X
brj-23470	149	42	neuron	neuron	NOUN
brj-23470	149	43	in	in	ADP
brj-23470	149	44	the	the	DET
brj-23470	149	45	x	x	NOUN
brj-23470	149	46	-	-	PUNCT
brj-23470	149	47	th	th	VERB
brj-23470	149	48	layer	layer	NOUN
brj-23470	149	49	;	;	PUNCT
brj-23470	149	50	£	£	PROPN
brj-23470	149	51	(	(	PUNCT
brj-23470	149	52	0	0	NUM
brj-23470	149	53	≤	≤	NUM
brj-23470	150	1	£	£	SYM
brj-23470	150	2	<	<	X
brj-23470	150	3	1	1	NUM
brj-23470	150	4	)	)	PUNCT
brj-23470	150	5	is	be	AUX
brj-23470	150	6	the	the	DET
brj-23470	150	7	momentum	momentum	NOUN
brj-23470	150	8	factor	factor	NOUN
brj-23470	150	9	;	;	PUNCT
brj-23470	150	10	α	α	PRON
brj-23470	150	11	is	be	AUX
brj-23470	150	12	the	the	DET
brj-23470	150	13	learning	learn	VERB
brj-23470	150	14	rate	rate	NOUN
brj-23470	150	15	(	(	PUNCT
brj-23470	150	16	chen	chen	PROPN
brj-23470	150	17	et	et	PROPN
brj-23470	150	18	al	al	PROPN
brj-23470	150	19	.	.	PROPN
brj-23470	150	20	2020	2020	NUM
brj-23470	150	21	)	)	PUNCT
brj-23470	150	22	.	.	PUNCT
brj-23470	151	1	data	datum	NOUN
brj-23470	151	2	fitting	fitting	ADJ
brj-23470	151	3	method	method	NOUN
brj-23470	151	4	using	use	VERB
brj-23470	151	5	spss	spss	PROPN
brj-23470	151	6	data	data	PROPN
brj-23470	151	7	analysis	analysis	NOUN
brj-23470	151	8	software	software	NOUN
brj-23470	151	9	(	(	PUNCT
brj-23470	151	10	ibm	ibm	PROPN
brj-23470	151	11	spss	spss	PROPN
brj-23470	151	12	statistics	statistic	NOUN
brj-23470	151	13	27.0.1	27.0.1	PROPN
brj-23470	151	14	)	)	PUNCT
brj-23470	151	15	,	,	PUNCT
brj-23470	151	16	curve	curve	NOUN
brj-23470	151	17	estimation	estimation	NOUN
brj-23470	151	18	was	be	AUX
brj-23470	151	19	performed	perform	VERB
brj-23470	151	20	.	.	PUNCT
brj-23470	152	1	the	the	DET
brj-23470	152	2	software	software	NOUN
brj-23470	152	3	provides	provide	VERB
brj-23470	152	4	multiple	multiple	ADJ
brj-23470	152	5	selectable	selectable	ADJ
brj-23470	152	6	function	function	NOUN
brj-23470	152	7	models	model	NOUN
brj-23470	152	8	.	.	PUNCT
brj-23470	153	1	when	when	SCONJ
brj-23470	153	2	it	it	PRON
brj-23470	153	3	is	be	AUX
brj-23470	153	4	not	not	PART
brj-23470	153	5	clear	clear	ADJ
brj-23470	153	6	which	which	DET
brj-23470	153	7	model	model	NOUN
brj-23470	153	8	fits	fit	VERB
brj-23470	153	9	the	the	DET
brj-23470	153	10	sample	sample	NOUN
brj-23470	153	11	data	datum	NOUN
brj-23470	153	12	best	well	ADV
brj-23470	153	13	,	,	PUNCT
brj-23470	153	14	several	several	ADJ
brj-23470	153	15	models	model	NOUN
brj-23470	153	16	can	can	AUX
brj-23470	153	17	be	be	AUX
brj-23470	153	18	simultaneously	simultaneously	ADV
brj-23470	153	19	selected	select	VERB
brj-23470	153	20	.	.	PUNCT
brj-23470	154	1	spss	spss	PROPN
brj-23470	154	2	automatically	automatically	ADV
brj-23470	154	3	performs	perform	VERB
brj-23470	154	4	parameter	parameter	NOUN
brj-23470	154	5	estimation	estimation	NOUN
brj-23470	154	6	for	for	ADP
brj-23470	154	7	the	the	DET
brj-23470	154	8	models	model	NOUN
brj-23470	154	9	and	and	CCONJ
brj-23470	154	10	displays	display	VERB
brj-23470	154	11	statistics	statistic	NOUN
brj-23470	154	12	such	such	ADJ
brj-23470	154	13	as	as	ADP
brj-23470	154	14	the	the	DET
brj-23470	154	15	f	f	NOUN
brj-23470	154	16	-	-	PUNCT
brj-23470	154	17	value	value	NOUN
brj-23470	154	18	,	,	PUNCT
brj-23470	154	19	p	p	NOUN
brj-23470	154	20	-	-	PUNCT
brj-23470	154	21	value	value	NOUN
brj-23470	154	22	,	,	PUNCT
brj-23470	154	23	r2	r2	PROPN
brj-23470	154	24	,	,	PUNCT
brj-23470	154	25	etc	etc	X
brj-23470	154	26	.	.	X
brj-23470	155	1	finally	finally	ADV
brj-23470	155	2	,	,	PUNCT
brj-23470	155	3	the	the	DET
brj-23470	155	4	model	model	NOUN
brj-23470	155	5	with	with	ADP
brj-23470	155	6	the	the	DET
brj-23470	155	7	highest	high	ADJ
brj-23470	155	8	likelihood	likelihood	NOUN
brj-23470	155	9	is	be	AUX
brj-23470	155	10	chosen	choose	VERB
brj-23470	155	11	as	as	ADP
brj-23470	155	12	the	the	DET
brj-23470	155	13	regression	regression	NOUN
brj-23470	155	14	model	model	NOUN
brj-23470	155	15	,	,	PUNCT
brj-23470	155	16	and	and	CCONJ
brj-23470	155	17	predictions	prediction	NOUN
brj-23470	155	18	are	be	AUX
brj-23470	155	19	made	make	VERB
brj-23470	155	20	based	base	VERB
brj-23470	155	21	on	on	ADP
brj-23470	155	22	that	that	DET
brj-23470	155	23	model	model	NOUN
brj-23470	155	24	,	,	PUNCT
brj-23470	155	25	peer	peer	NOUN
brj-23470	155	26	-	-	PUNCT
brj-23470	155	27	reviewed	review	VERB
brj-23470	155	28	article	article	NOUN
brj-23470	155	29	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	155	30	zhang	zhang	PROPN
brj-23470	155	31	et	et	PROPN
brj-23470	155	32	al	al	PROPN
brj-23470	155	33	.	.	PROPN
brj-23470	156	1	(	(	PUNCT
brj-23470	156	2	2024	2024	NUM
brj-23470	156	3	)	)	PUNCT
brj-23470	156	4	.	.	PUNCT
brj-23470	157	1	“	"	PUNCT
brj-23470	157	2	activated	activate	VERB
brj-23470	157	3	carbon	carbon	NOUN
brj-23470	157	4	from	from	ADP
brj-23470	157	5	sludge	sludge	NOUN
brj-23470	157	6	,	,	PUNCT
brj-23470	157	7	”	"	PUNCT
brj-23470	157	8	bioresources	bioresource	NOUN
brj-23470	157	9	19(3	19(3	NUM
brj-23470	157	10	)	)	PUNCT
brj-23470	157	11	,	,	PUNCT
brj-23470	157	12	4941	4941	NUM
brj-23470	157	13	-	-	SYM
brj-23470	157	14	4959	4959	NUM
brj-23470	157	15	.	.	PUNCT
brj-23470	158	1	4947	4947	NUM
brj-23470	158	2	results	result	NOUN
brj-23470	158	3	and	and	CCONJ
brj-23470	158	4	discussion	discussion	NOUN
brj-23470	158	5	correlation	correlation	NOUN
brj-23470	158	6	analysis	analysis	NOUN
brj-23470	158	7	of	of	ADP
brj-23470	158	8	water	water	NOUN
brj-23470	158	9	quality	quality	NOUN
brj-23470	158	10	parameters	parameter	NOUN
brj-23470	158	11	correlation	correlation	NOUN
brj-23470	158	12	analysis	analysis	NOUN
brj-23470	158	13	can	can	AUX
brj-23470	158	14	be	be	AUX
brj-23470	158	15	used	use	VERB
brj-23470	158	16	to	to	PART
brj-23470	158	17	study	study	VERB
brj-23470	158	18	pollution	pollution	NOUN
brj-23470	158	19	trends	trend	NOUN
brj-23470	158	20	,	,	PUNCT
brj-23470	158	21	explore	explore	VERB
brj-23470	158	22	potential	potential	ADJ
brj-23470	158	23	sources	source	NOUN
brj-23470	158	24	of	of	ADP
brj-23470	158	25	pollution	pollution	NOUN
brj-23470	158	26	,	,	PUNCT
brj-23470	158	27	and	and	CCONJ
brj-23470	158	28	provide	provide	VERB
brj-23470	158	29	data	data	NOUN
brj-23470	158	30	support	support	NOUN
brj-23470	158	31	for	for	ADP
brj-23470	158	32	risk	risk	NOUN
brj-23470	158	33	management	management	NOUN
brj-23470	158	34	.	.	PUNCT
brj-23470	159	1	additionally	additionally	ADV
brj-23470	159	2	,	,	PUNCT
brj-23470	159	3	for	for	ADP
brj-23470	159	4	some	some	DET
brj-23470	159	5	water	water	NOUN
brj-23470	159	6	bodies	body	NOUN
brj-23470	159	7	,	,	PUNCT
brj-23470	159	8	it	it	PRON
brj-23470	159	9	is	be	AUX
brj-23470	159	10	possible	possible	ADJ
brj-23470	159	11	to	to	PART
brj-23470	159	12	establish	establish	VERB
brj-23470	159	13	related	related	ADJ
brj-23470	159	14	models	model	NOUN
brj-23470	159	15	and	and	CCONJ
brj-23470	159	16	prediction	prediction	NOUN
brj-23470	159	17	methods	method	NOUN
brj-23470	159	18	for	for	ADP
brj-23470	159	19	surface	surface	NOUN
brj-23470	159	20	water	water	NOUN
brj-23470	159	21	resources	resource	NOUN
brj-23470	159	22	,	,	PUNCT
brj-23470	159	23	thereby	thereby	ADV
brj-23470	159	24	enhancing	enhance	VERB
brj-23470	159	25	the	the	DET
brj-23470	159	26	diversity	diversity	NOUN
brj-23470	159	27	and	and	CCONJ
brj-23470	159	28	accuracy	accuracy	NOUN
brj-23470	159	29	of	of	ADP
brj-23470	159	30	surface	surface	NOUN
brj-23470	159	31	water	water	NOUN
brj-23470	159	32	quality	quality	NOUN
brj-23470	159	33	measurement	measurement	NOUN
brj-23470	159	34	(	(	PUNCT
brj-23470	159	35	chen	chen	PROPN
brj-23470	159	36	et	et	PROPN
brj-23470	159	37	al	al	PROPN
brj-23470	159	38	.	.	PROPN
brj-23470	159	39	2020	2020	NUM
brj-23470	159	40	)	)	PUNCT
brj-23470	159	41	.	.	PUNCT
brj-23470	160	1	there	there	PRON
brj-23470	160	2	may	may	AUX
brj-23470	160	3	be	be	AUX
brj-23470	160	4	a	a	DET
brj-23470	160	5	certain	certain	ADJ
brj-23470	160	6	correlation	correlation	NOUN
brj-23470	160	7	between	between	ADP
brj-23470	160	8	different	different	ADJ
brj-23470	160	9	water	water	NOUN
brj-23470	160	10	quality	quality	NOUN
brj-23470	160	11	parameters	parameter	NOUN
brj-23470	160	12	.	.	PUNCT
brj-23470	161	1	through	through	ADP
brj-23470	161	2	the	the	DET
brj-23470	161	3	analysis	analysis	NOUN
brj-23470	161	4	of	of	ADP
brj-23470	161	5	ph	ph	ADJ
brj-23470	161	6	,	,	PUNCT
brj-23470	161	7	water	water	NOUN
brj-23470	161	8	temperature	temperature	NOUN
brj-23470	161	9	,	,	PUNCT
brj-23470	161	10	dissolved	dissolve	VERB
brj-23470	161	11	oxygen	oxygen	NOUN
brj-23470	161	12	,	,	PUNCT
brj-23470	161	13	turbidity	turbidity	NOUN
brj-23470	161	14	,	,	PUNCT
brj-23470	161	15	conductivity	conductivity	NOUN
brj-23470	161	16	,	,	PUNCT
brj-23470	161	17	cod	cod	NOUN
brj-23470	161	18	,	,	PUNCT
brj-23470	161	19	ammonia	ammonia	NOUN
brj-23470	161	20	nitrogen	nitrogen	NOUN
brj-23470	161	21	,	,	PUNCT
brj-23470	161	22	nitrate	nitrate	NOUN
brj-23470	161	23	nitrogen	nitrogen	NOUN
brj-23470	161	24	,	,	PUNCT
brj-23470	161	25	total	total	ADJ
brj-23470	161	26	phosphorus	phosphorus	NOUN
brj-23470	161	27	,	,	PUNCT
brj-23470	161	28	total	total	ADJ
brj-23470	161	29	nitrogen	nitrogen	NOUN
brj-23470	161	30	,	,	PUNCT
brj-23470	161	31	cyanobacteria	cyanobacteria	NOUN
brj-23470	161	32	and	and	CCONJ
brj-23470	161	33	chla	chla	NOUN
brj-23470	161	34	,	,	PUNCT
brj-23470	161	35	the	the	DET
brj-23470	161	36	water	water	NOUN
brj-23470	161	37	quality	quality	NOUN
brj-23470	161	38	of	of	ADP
brj-23470	161	39	the	the	DET
brj-23470	161	40	reservoir	reservoir	NOUN
brj-23470	161	41	was	be	AUX
brj-23470	161	42	similar	similar	ADJ
brj-23470	161	43	to	to	ADP
brj-23470	161	44	that	that	PRON
brj-23470	161	45	of	of	ADP
brj-23470	161	46	the	the	DET
brj-23470	161	47	year	year	NOUN
brj-23470	161	48	2018	2018	NUM
brj-23470	161	49	and	and	CCONJ
brj-23470	161	50	2019	2019	NUM
brj-23470	161	51	(	(	PUNCT
brj-23470	161	52	zhang	zhang	X
brj-23470	161	53	et	et	PROPN
brj-23470	161	54	al	al	PROPN
brj-23470	161	55	.	.	PROPN
brj-23470	161	56	2020	2020	NUM
brj-23470	161	57	)	)	PUNCT
brj-23470	161	58	,	,	PUNCT
brj-23470	161	59	and	and	CCONJ
brj-23470	161	60	eutrophication	eutrophication	NOUN
brj-23470	161	61	related	relate	VERB
brj-23470	161	62	parameters	parameter	NOUN
brj-23470	161	63	such	such	ADJ
brj-23470	161	64	as	as	ADP
brj-23470	161	65	total	total	ADJ
brj-23470	161	66	nitrogen	nitrogen	NOUN
brj-23470	161	67	,	,	PUNCT
brj-23470	161	68	total	total	ADJ
brj-23470	161	69	phosphorus	phosphorus	NOUN
brj-23470	161	70	and	and	CCONJ
brj-23470	161	71	ammonia	ammonia	NOUN
brj-23470	161	72	nitrogen	nitrogen	NOUN
brj-23470	161	73	exceeded	exceed	VERB
brj-23470	161	74	the	the	DET
brj-23470	161	75	requirements	requirement	NOUN
brj-23470	161	76	of	of	ADP
brj-23470	161	77	national	national	ADJ
brj-23470	161	78	standards	standard	NOUN
brj-23470	161	79	in	in	ADP
brj-23470	161	80	some	some	DET
brj-23470	161	81	times	time	NOUN
brj-23470	161	82	.	.	PUNCT
brj-23470	162	1	this	this	DET
brj-23470	162	2	reservoir	reservoir	NOUN
brj-23470	162	3	faced	face	VERB
brj-23470	162	4	a	a	DET
brj-23470	162	5	slight	slight	ADJ
brj-23470	162	6	eutrophication	eutrophication	NOUN
brj-23470	162	7	problem	problem	NOUN
brj-23470	162	8	during	during	ADP
brj-23470	162	9	in	in	ADP
brj-23470	162	10	summer	summer	NOUN
brj-23470	162	11	and	and	CCONJ
brj-23470	162	12	autumn	autumn	NOUN
brj-23470	162	13	.	.	PUNCT
brj-23470	163	1	if	if	SCONJ
brj-23470	163	2	agriculture	agriculture	NOUN
brj-23470	163	3	and	and	CCONJ
brj-23470	163	4	industry	industry	NOUN
brj-23470	163	5	in	in	ADP
brj-23470	163	6	the	the	DET
brj-23470	163	7	upstream	upstream	NOUN
brj-23470	163	8	of	of	ADP
brj-23470	163	9	the	the	DET
brj-23470	163	10	water	water	NOUN
brj-23470	163	11	body	body	NOUN
brj-23470	163	12	discharges	discharge	VERB
brj-23470	163	13	excessive	excessive	ADJ
brj-23470	163	14	n	n	NOUN
brj-23470	163	15	and	and	CCONJ
brj-23470	163	16	p	p	X
brj-23470	163	17	,	,	PUNCT
brj-23470	163	18	this	this	PRON
brj-23470	163	19	will	will	AUX
brj-23470	163	20	lead	lead	VERB
brj-23470	163	21	to	to	ADP
brj-23470	163	22	excessive	excessive	ADJ
brj-23470	163	23	algae	algae	NOUN
brj-23470	163	24	growth	growth	NOUN
brj-23470	163	25	in	in	ADP
brj-23470	163	26	the	the	DET
brj-23470	163	27	water	water	NOUN
brj-23470	163	28	body	body	NOUN
brj-23470	163	29	,	,	PUNCT
brj-23470	163	30	and	and	CCONJ
brj-23470	163	31	the	the	DET
brj-23470	163	32	reservoir	reservoir	NOUN
brj-23470	163	33	will	will	AUX
brj-23470	163	34	face	face	VERB
brj-23470	163	35	eutrophication	eutrophication	NOUN
brj-23470	163	36	problems	problem	NOUN
brj-23470	163	37	.	.	PUNCT
brj-23470	164	1	the	the	DET
brj-23470	164	2	analysis	analysis	NOUN
brj-23470	164	3	and	and	CCONJ
brj-23470	164	4	prediction	prediction	NOUN
brj-23470	164	5	research	research	NOUN
brj-23470	164	6	on	on	ADP
brj-23470	164	7	water	water	NOUN
brj-23470	164	8	quality	quality	NOUN
brj-23470	164	9	parameters	parameter	NOUN
brj-23470	164	10	related	relate	VERB
brj-23470	164	11	to	to	ADP
brj-23470	164	12	eutrophication	eutrophication	NOUN
brj-23470	164	13	was	be	AUX
brj-23470	164	14	particularly	particularly	ADV
brj-23470	164	15	important	important	ADJ
brj-23470	164	16	for	for	ADP
brj-23470	164	17	the	the	DET
brj-23470	164	18	reservoir	reservoir	NOUN
brj-23470	164	19	.	.	PUNCT
brj-23470	165	1	according	accord	VERB
brj-23470	165	2	to	to	ADP
brj-23470	165	3	the	the	DET
brj-23470	165	4	test	test	NOUN
brj-23470	165	5	results	result	NOUN
brj-23470	165	6	,	,	PUNCT
brj-23470	165	7	the	the	DET
brj-23470	165	8	orp	orp	PROPN
brj-23470	165	9	of	of	ADP
brj-23470	165	10	shih	shih	PROPN
brj-23470	165	11	river	river	PROPN
brj-23470	165	12	reservoir	reservoir	NOUN
brj-23470	165	13	ranged	range	VERB
brj-23470	165	14	from	from	ADP
brj-23470	165	15	235	235	NUM
brj-23470	165	16	to	to	PART
brj-23470	165	17	314	314	NUM
brj-23470	165	18	mv	mv	NOUN
brj-23470	165	19	without	without	ADP
brj-23470	165	20	very	very	ADV
brj-23470	165	21	significant	significant	ADJ
brj-23470	165	22	variation	variation	NOUN
brj-23470	165	23	.	.	PUNCT
brj-23470	166	1	similar	similar	ADJ
brj-23470	166	2	findings	finding	NOUN
brj-23470	166	3	have	have	AUX
brj-23470	166	4	been	be	AUX
brj-23470	166	5	also	also	ADV
brj-23470	166	6	reported	report	VERB
brj-23470	166	7	in	in	ADP
brj-23470	166	8	other	other	ADJ
brj-23470	166	9	studies	study	NOUN
brj-23470	166	10	,	,	PUNCT
brj-23470	166	11	such	such	ADJ
brj-23470	166	12	as	as	ADP
brj-23470	166	13	the	the	DET
brj-23470	166	14	orp	orp	PROPN
brj-23470	166	15	values	value	NOUN
brj-23470	166	16	testing	testing	NOUN
brj-23470	166	17	in	in	ADP
brj-23470	166	18	shanxi	shanxi	PROPN
brj-23470	166	19	reservoir	reservoir	PROPN
brj-23470	166	20	,	,	PUNCT
brj-23470	166	21	showing	show	VERB
brj-23470	166	22	certain	certain	ADJ
brj-23470	166	23	fluctuations	fluctuation	NOUN
brj-23470	166	24	at	at	ADP
brj-23470	166	25	different	different	ADJ
brj-23470	166	26	time	time	NOUN
brj-23470	166	27	periods	period	NOUN
brj-23470	166	28	but	but	CCONJ
brj-23470	166	29	in	in	ADP
brj-23470	166	30	the	the	DET
brj-23470	166	31	range	range	NOUN
brj-23470	166	32	of	of	ADP
brj-23470	166	33	221	221	NUM
brj-23470	166	34	to	to	ADP
brj-23470	166	35	286	286	NUM
brj-23470	166	36	mv	mv	PROPN
brj-23470	166	37	(	(	PUNCT
brj-23470	166	38	yang	yang	PROPN
brj-23470	166	39	et	et	PROPN
brj-23470	166	40	al	al	PROPN
brj-23470	166	41	.	.	PROPN
brj-23470	166	42	2023	2023	NUM
brj-23470	166	43	)	)	PUNCT
brj-23470	166	44	.	.	PUNCT
brj-23470	167	1	there	there	PRON
brj-23470	167	2	was	be	VERB
brj-23470	167	3	a	a	DET
brj-23470	167	4	correlation	correlation	NOUN
brj-23470	167	5	between	between	ADP
brj-23470	167	6	ammonia	ammonia	NOUN
brj-23470	167	7	nitrogen	nitrogen	NOUN
brj-23470	167	8	,	,	PUNCT
brj-23470	167	9	total	total	ADJ
brj-23470	167	10	phosphorus	phosphorus	NOUN
brj-23470	167	11	,	,	PUNCT
brj-23470	167	12	total	total	ADJ
brj-23470	167	13	nitrogen	nitrogen	NOUN
brj-23470	167	14	,	,	PUNCT
brj-23470	167	15	chla	chla	NOUN
brj-23470	167	16	,	,	PUNCT
brj-23470	167	17	cyanobacteria	cyanobacteria	NOUN
brj-23470	167	18	concentration	concentration	NOUN
brj-23470	167	19	,	,	PUNCT
brj-23470	167	20	and	and	CCONJ
brj-23470	167	21	orp	orp	PROPN
brj-23470	167	22	,	,	PUNCT
brj-23470	167	23	with	with	ADP
brj-23470	167	24	correlation	correlation	NOUN
brj-23470	167	25	coefficients	coefficient	NOUN
brj-23470	167	26	of	of	ADP
brj-23470	167	27	-0.204	-0.204	NUM
brj-23470	167	28	,	,	PUNCT
brj-23470	167	29	0.293	0.293	NUM
brj-23470	167	30	,	,	PUNCT
brj-23470	167	31	0.373	0.373	NUM
brj-23470	167	32	,	,	PUNCT
brj-23470	167	33	-0.320	-0.320	NOUN
brj-23470	167	34	,	,	PUNCT
brj-23470	167	35	and	and	CCONJ
brj-23470	167	36	-0.225	-0.225	NOUN
brj-23470	167	37	,	,	PUNCT
brj-23470	167	38	respectively	respectively	ADV
brj-23470	167	39	.	.	PUNCT
brj-23470	168	1	this	this	PRON
brj-23470	168	2	suggested	suggest	VERB
brj-23470	168	3	that	that	SCONJ
brj-23470	168	4	orp	orp	PROPN
brj-23470	168	5	can	can	AUX
brj-23470	168	6	be	be	AUX
brj-23470	168	7	related	relate	VERB
brj-23470	168	8	to	to	ADP
brj-23470	168	9	these	these	DET
brj-23470	168	10	eutrophication	eutrophication	NOUN
brj-23470	168	11	parameters	parameter	NOUN
brj-23470	168	12	through	through	ADP
brj-23470	168	13	certain	certain	ADJ
brj-23470	168	14	methods	method	NOUN
brj-23470	168	15	.	.	PUNCT
brj-23470	169	1	however	however	ADV
brj-23470	169	2	,	,	PUNCT
brj-23470	169	3	the	the	DET
brj-23470	169	4	correlation	correlation	NOUN
brj-23470	169	5	between	between	ADP
brj-23470	169	6	other	other	ADJ
brj-23470	169	7	parameters	parameter	NOUN
brj-23470	169	8	and	and	CCONJ
brj-23470	169	9	orp	orp	PROPN
brj-23470	169	10	was	be	AUX
brj-23470	169	11	extremely	extremely	ADV
brj-23470	169	12	weak	weak	ADJ
brj-23470	169	13	.	.	PUNCT
brj-23470	170	1	krom	krom	PROPN
brj-23470	170	2	et	et	PROPN
brj-23470	170	3	al	al	PROPN
brj-23470	170	4	.	.	PROPN
brj-23470	171	1	(	(	PUNCT
brj-23470	171	2	1991	1991	NUM
brj-23470	171	3	)	)	PUNCT
brj-23470	171	4	believed	believe	VERB
brj-23470	171	5	that	that	SCONJ
brj-23470	171	6	external	external	ADJ
brj-23470	171	7	factors	factor	NOUN
brj-23470	171	8	such	such	ADJ
brj-23470	171	9	as	as	ADP
brj-23470	171	10	wind	wind	NOUN
brj-23470	171	11	,	,	PUNCT
brj-23470	171	12	rain	rain	NOUN
brj-23470	171	13	,	,	PUNCT
brj-23470	171	14	and	and	CCONJ
brj-23470	171	15	flow	flow	NOUN
brj-23470	171	16	velocity	velocity	NOUN
brj-23470	171	17	may	may	AUX
brj-23470	171	18	suddenly	suddenly	ADV
brj-23470	171	19	affect	affect	VERB
brj-23470	171	20	the	the	DET
brj-23470	171	21	transformation	transformation	NOUN
brj-23470	171	22	process	process	NOUN
brj-23470	171	23	of	of	ADP
brj-23470	171	24	certain	certain	ADJ
brj-23470	171	25	substances	substance	NOUN
brj-23470	171	26	in	in	ADP
brj-23470	171	27	water	water	NOUN
brj-23470	171	28	bodies	body	NOUN
brj-23470	171	29	.	.	PUNCT
brj-23470	172	1	this	this	PRON
brj-23470	172	2	might	might	AUX
brj-23470	172	3	result	result	VERB
brj-23470	172	4	in	in	ADP
brj-23470	172	5	weak	weak	ADJ
brj-23470	172	6	interrelationships	interrelationship	NOUN
brj-23470	172	7	between	between	ADP
brj-23470	172	8	water	water	NOUN
brj-23470	172	9	body	body	NOUN
brj-23470	172	10	parameters	parameter	NOUN
brj-23470	172	11	.	.	PUNCT
brj-23470	173	1	for	for	ADP
brj-23470	173	2	example	example	NOUN
brj-23470	173	3	,	,	PUNCT
brj-23470	173	4	dissolved	dissolve	VERB
brj-23470	173	5	oxygen	oxygen	NOUN
brj-23470	173	6	did	do	AUX
brj-23470	173	7	not	not	PART
brj-23470	173	8	form	form	VERB
brj-23470	173	9	significant	significant	ADJ
brj-23470	173	10	relationships	relationship	NOUN
brj-23470	173	11	with	with	ADP
brj-23470	173	12	orp	orp	PROPN
brj-23470	173	13	(	(	PUNCT
brj-23470	173	14	absolute	absolute	ADJ
brj-23470	173	15	value	value	NOUN
brj-23470	173	16	of	of	ADP
brj-23470	173	17	the	the	DET
brj-23470	173	18	correlation	correlation	NOUN
brj-23470	173	19	coefficients	coefficient	NOUN
brj-23470	173	20	was	be	AUX
brj-23470	173	21	less	less	ADJ
brj-23470	173	22	than	than	ADP
brj-23470	173	23	0.1	0.1	NUM
brj-23470	173	24	)	)	PUNCT
brj-23470	173	25	.	.	PUNCT
brj-23470	174	1	this	this	DET
brj-23470	174	2	result	result	NOUN
brj-23470	174	3	was	be	AUX
brj-23470	174	4	different	different	ADJ
brj-23470	174	5	from	from	ADP
brj-23470	174	6	what	what	PRON
brj-23470	174	7	was	be	AUX
brj-23470	174	8	expected	expect	VERB
brj-23470	174	9	,	,	PUNCT
brj-23470	174	10	which	which	PRON
brj-23470	174	11	may	may	AUX
brj-23470	174	12	be	be	AUX
brj-23470	174	13	due	due	ADJ
brj-23470	174	14	to	to	ADP
brj-23470	174	15	the	the	DET
brj-23470	174	16	large	large	ADJ
brj-23470	174	17	surface	surface	NOUN
brj-23470	174	18	area	area	NOUN
brj-23470	174	19	of	of	ADP
brj-23470	174	20	the	the	DET
brj-23470	174	21	reservoir	reservoir	NOUN
brj-23470	174	22	and	and	CCONJ
brj-23470	174	23	there	there	PRON
brj-23470	174	24	were	be	VERB
brj-23470	174	25	significant	significant	ADJ
brj-23470	174	26	differences	difference	NOUN
brj-23470	174	27	between	between	ADP
brj-23470	174	28	the	the	DET
brj-23470	174	29	characteristics	characteristic	NOUN
brj-23470	174	30	of	of	ADP
brj-23470	174	31	reservoirs	reservoir	NOUN
brj-23470	174	32	and	and	CCONJ
brj-23470	174	33	wastewater	wastewater	NOUN
brj-23470	174	34	treatment	treatment	NOUN
brj-23470	174	35	plants	plant	NOUN
brj-23470	174	36	.	.	PUNCT
brj-23470	175	1	and	and	CCONJ
brj-23470	175	2	when	when	SCONJ
brj-23470	175	3	the	the	DET
brj-23470	175	4	dissolved	dissolve	VERB
brj-23470	175	5	oxygen	oxygen	NOUN
brj-23470	175	6	concentration	concentration	NOUN
brj-23470	175	7	in	in	ADP
brj-23470	175	8	the	the	DET
brj-23470	175	9	water	water	NOUN
brj-23470	175	10	was	be	AUX
brj-23470	175	11	high	high	ADJ
brj-23470	175	12	,	,	PUNCT
brj-23470	175	13	nitrogen	nitrogen	NOUN
brj-23470	175	14	organic	organic	ADJ
brj-23470	175	15	matter	matter	NOUN
brj-23470	175	16	in	in	ADP
brj-23470	175	17	the	the	DET
brj-23470	175	18	water	water	NOUN
brj-23470	175	19	and	and	CCONJ
brj-23470	175	20	sediment	sediment	NOUN
brj-23470	175	21	would	would	AUX
brj-23470	175	22	decompose	decompose	VERB
brj-23470	175	23	under	under	ADP
brj-23470	175	24	aerobic	aerobic	ADJ
brj-23470	175	25	microbial	microbial	ADJ
brj-23470	175	26	action	action	NOUN
brj-23470	175	27	,	,	PUNCT
brj-23470	175	28	resulting	result	VERB
brj-23470	175	29	in	in	ADP
brj-23470	175	30	the	the	DET
brj-23470	175	31	production	production	NOUN
brj-23470	175	32	of	of	ADP
brj-23470	175	33	reducing	reduce	VERB
brj-23470	175	34	agents	agent	NOUN
brj-23470	175	35	such	such	ADJ
brj-23470	175	36	as	as	ADP
brj-23470	175	37	ammonia	ammonia	ADJ
brj-23470	175	38	nitrogen	nitrogen	NOUN
brj-23470	175	39	.	.	PUNCT
brj-23470	176	1	the	the	DET
brj-23470	176	2	dissolved	dissolve	VERB
brj-23470	176	3	oxygen	oxygen	NOUN
brj-23470	176	4	of	of	ADP
brj-23470	176	5	the	the	DET
brj-23470	176	6	reservoir	reservoir	NOUN
brj-23470	176	7	did	do	AUX
brj-23470	176	8	not	not	PART
brj-23470	176	9	directly	directly	ADV
brj-23470	176	10	show	show	VERB
brj-23470	176	11	a	a	DET
brj-23470	176	12	significant	significant	ADJ
brj-23470	176	13	positive	positive	ADJ
brj-23470	176	14	correlation	correlation	NOUN
brj-23470	176	15	with	with	ADP
brj-23470	176	16	orp	orp	PROPN
brj-23470	176	17	.	.	PUNCT
brj-23470	177	1	notably	notably	ADV
brj-23470	177	2	,	,	PUNCT
brj-23470	177	3	there	there	PRON
brj-23470	177	4	were	be	VERB
brj-23470	177	5	different	different	ADJ
brj-23470	177	6	positive	positive	ADJ
brj-23470	177	7	and	and	CCONJ
brj-23470	177	8	negative	negative	ADJ
brj-23470	177	9	correlations	correlation	NOUN
brj-23470	177	10	between	between	ADP
brj-23470	177	11	pollutant	pollutant	ADJ
brj-23470	177	12	concentrations	concentration	NOUN
brj-23470	177	13	(	(	PUNCT
brj-23470	177	14	ammonia	ammonia	NOUN
brj-23470	177	15	nitrogen	nitrogen	NOUN
brj-23470	177	16	,	,	PUNCT
brj-23470	177	17	total	total	ADJ
brj-23470	177	18	phosphorus	phosphorus	NOUN
brj-23470	177	19	,	,	PUNCT
brj-23470	177	20	total	total	ADJ
brj-23470	177	21	nitrogen	nitrogen	NOUN
brj-23470	177	22	,	,	PUNCT
brj-23470	177	23	chla	chla	NOUN
brj-23470	177	24	,	,	PUNCT
brj-23470	177	25	cyanobacteria	cyanobacteria	NOUN
brj-23470	177	26	concentration	concentration	NOUN
brj-23470	177	27	)	)	PUNCT
brj-23470	177	28	and	and	CCONJ
brj-23470	177	29	orp	orp	PROPN
brj-23470	177	30	,	,	PUNCT
brj-23470	177	31	which	which	PRON
brj-23470	177	32	require	require	VERB
brj-23470	177	33	further	further	ADJ
brj-23470	177	34	analysis	analysis	NOUN
brj-23470	177	35	.	.	PUNCT
brj-23470	178	1	ammonia	ammonia	NOUN
brj-23470	178	2	nitrogen	nitrogen	NOUN
brj-23470	178	3	,	,	PUNCT
brj-23470	178	4	chla	chla	NOUN
brj-23470	178	5	,	,	PUNCT
brj-23470	178	6	and	and	CCONJ
brj-23470	178	7	cyanobacteria	cyanobacteria	NOUN
brj-23470	178	8	concentration	concentration	NOUN
brj-23470	178	9	had	have	VERB
brj-23470	178	10	a	a	DET
brj-23470	178	11	negative	negative	ADJ
brj-23470	178	12	correlation	correlation	NOUN
brj-23470	178	13	with	with	ADP
brj-23470	178	14	orp	orp	PROPN
brj-23470	178	15	,	,	PUNCT
brj-23470	178	16	while	while	SCONJ
brj-23470	178	17	total	total	ADJ
brj-23470	178	18	nitrogen	nitrogen	NOUN
brj-23470	178	19	and	and	CCONJ
brj-23470	178	20	total	total	ADJ
brj-23470	178	21	phosphorus	phosphorus	NOUN
brj-23470	178	22	had	have	VERB
brj-23470	178	23	a	a	DET
brj-23470	178	24	positive	positive	ADJ
brj-23470	178	25	correlation	correlation	NOUN
brj-23470	178	26	with	with	ADP
brj-23470	178	27	orp	orp	PROPN
brj-23470	178	28	.	.	PUNCT
brj-23470	179	1	the	the	DET
brj-23470	179	2	total	total	ADJ
brj-23470	179	3	phosphorus	phosphorus	NOUN
brj-23470	179	4	and	and	CCONJ
brj-23470	179	5	total	total	ADJ
brj-23470	179	6	nitrogen	nitrogen	NOUN
brj-23470	179	7	include	include	VERB
brj-23470	179	8	partially	partially	ADV
brj-23470	179	9	oxidized	oxidize	VERB
brj-23470	179	10	substances	substance	NOUN
brj-23470	179	11	,	,	PUNCT
brj-23470	179	12	which	which	PRON
brj-23470	179	13	may	may	AUX
brj-23470	179	14	increase	increase	VERB
brj-23470	179	15	the	the	DET
brj-23470	179	16	orp	orp	PROPN
brj-23470	179	17	(	(	PUNCT
brj-23470	179	18	wang	wang	PROPN
brj-23470	179	19	et	et	PROPN
brj-23470	179	20	al	al	PROPN
brj-23470	179	21	.	.	PROPN
brj-23470	179	22	2020	2020	NUM
brj-23470	179	23	)	)	PUNCT
brj-23470	179	24	.	.	PUNCT
brj-23470	180	1	however	however	ADV
brj-23470	180	2	,	,	PUNCT
brj-23470	180	3	ammonia	ammonia	ADJ
brj-23470	180	4	nitrogen	nitrogen	NOUN
brj-23470	180	5	refers	refer	VERB
brj-23470	180	6	to	to	ADP
brj-23470	180	7	free	free	ADJ
brj-23470	180	8	ammonia	ammonia	NOUN
brj-23470	180	9	and	and	CCONJ
brj-23470	180	10	ionized	ionized	ADJ
brj-23470	180	11	ammonia	ammonia	NOUN
brj-23470	180	12	in	in	ADP
brj-23470	180	13	the	the	DET
brj-23470	180	14	water	water	NOUN
brj-23470	180	15	.	.	PUNCT
brj-23470	181	1	free	free	ADJ
brj-23470	181	2	ammonia	ammonia	NOUN
brj-23470	181	3	and	and	CCONJ
brj-23470	181	4	ionized	ionized	ADJ
brj-23470	181	5	ammonia	ammonia	NOUN
brj-23470	181	6	are	be	AUX
brj-23470	181	7	reducing	reduce	VERB
brj-23470	181	8	substances	substance	NOUN
brj-23470	181	9	that	that	PRON
brj-23470	181	10	can	can	AUX
brj-23470	181	11	directly	directly	ADV
brj-23470	181	12	affect	affect	VERB
brj-23470	181	13	peer	peer	NOUN
brj-23470	181	14	-	-	PUNCT
brj-23470	181	15	reviewed	review	VERB
brj-23470	181	16	article	article	NOUN
brj-23470	181	17	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	181	18	zhang	zhang	PROPN
brj-23470	181	19	et	et	PROPN
brj-23470	181	20	al	al	PROPN
brj-23470	181	21	.	.	PROPN
brj-23470	182	1	(	(	PUNCT
brj-23470	182	2	2024	2024	NUM
brj-23470	182	3	)	)	PUNCT
brj-23470	182	4	.	.	PUNCT
brj-23470	183	1	“	"	PUNCT
brj-23470	183	2	activated	activate	VERB
brj-23470	183	3	carbon	carbon	NOUN
brj-23470	183	4	from	from	ADP
brj-23470	183	5	sludge	sludge	NOUN
brj-23470	183	6	,	,	PUNCT
brj-23470	183	7	”	"	PUNCT
brj-23470	183	8	bioresources	bioresource	NOUN
brj-23470	183	9	19(3	19(3	NUM
brj-23470	183	10	)	)	PUNCT
brj-23470	183	11	,	,	PUNCT
brj-23470	183	12	4941	4941	NUM
brj-23470	183	13	-	-	SYM
brj-23470	183	14	4959	4959	NUM
brj-23470	183	15	.	.	PUNCT
brj-23470	184	1	4948	4948	NUM
brj-23470	184	2	the	the	DET
brj-23470	184	3	oxidation	oxidation	NOUN
brj-23470	184	4	-	-	PUNCT
brj-23470	184	5	reduction	reduction	NOUN
brj-23470	184	6	potential	potential	NOUN
brj-23470	184	7	of	of	ADP
brj-23470	184	8	water	water	NOUN
brj-23470	184	9	body	body	NOUN
brj-23470	184	10	.	.	PUNCT
brj-23470	185	1	furthermore	furthermore	ADV
brj-23470	185	2	,	,	PUNCT
brj-23470	185	3	chla	chla	NOUN
brj-23470	185	4	plays	play	VERB
brj-23470	185	5	a	a	DET
brj-23470	185	6	role	role	NOUN
brj-23470	185	7	as	as	ADP
brj-23470	185	8	a	a	DET
brj-23470	185	9	reducing	reduce	VERB
brj-23470	185	10	agent	agent	NOUN
brj-23470	185	11	in	in	ADP
brj-23470	185	12	physiological	physiological	ADJ
brj-23470	185	13	processes	process	NOUN
brj-23470	185	14	and	and	CCONJ
brj-23470	185	15	is	be	AUX
brj-23470	185	16	involved	involve	VERB
brj-23470	185	17	in	in	ADP
brj-23470	185	18	the	the	DET
brj-23470	185	19	electron	electron	NOUN
brj-23470	185	20	transfer	transfer	NOUN
brj-23470	185	21	process	process	NOUN
brj-23470	185	22	of	of	ADP
brj-23470	185	23	photosynthesis	photosynthesis	NOUN
brj-23470	185	24	.	.	PUNCT
brj-23470	186	1	when	when	SCONJ
brj-23470	186	2	the	the	DET
brj-23470	186	3	chla	chla	NOUN
brj-23470	186	4	content	content	NOUN
brj-23470	186	5	in	in	ADP
brj-23470	186	6	the	the	DET
brj-23470	186	7	water	water	NOUN
brj-23470	186	8	is	be	AUX
brj-23470	186	9	high	high	ADJ
brj-23470	186	10	,	,	PUNCT
brj-23470	186	11	it	it	PRON
brj-23470	186	12	consumes	consume	VERB
brj-23470	186	13	oxidants	oxidant	NOUN
brj-23470	186	14	in	in	ADP
brj-23470	186	15	the	the	DET
brj-23470	186	16	water	water	NOUN
brj-23470	186	17	,	,	PUNCT
brj-23470	186	18	forming	form	VERB
brj-23470	186	19	a	a	DET
brj-23470	186	20	reducing	reduce	VERB
brj-23470	186	21	environment	environment	NOUN
brj-23470	186	22	and	and	CCONJ
brj-23470	186	23	reducing	reduce	VERB
brj-23470	186	24	the	the	DET
brj-23470	186	25	oxidation	oxidation	NOUN
brj-23470	186	26	-	-	PUNCT
brj-23470	186	27	reduction	reduction	NOUN
brj-23470	186	28	potential	potential	NOUN
brj-23470	186	29	(	(	PUNCT
brj-23470	186	30	long	long	ADV
brj-23470	186	31	et	et	PROPN
brj-23470	186	32	al	al	PROPN
brj-23470	186	33	.	.	PROPN
brj-23470	186	34	2006	2006	NUM
brj-23470	186	35	)	)	PUNCT
brj-23470	186	36	.	.	PUNCT
brj-23470	187	1	therefore	therefore	ADV
brj-23470	187	2	,	,	PUNCT
brj-23470	187	3	there	there	PRON
brj-23470	187	4	may	may	AUX
brj-23470	187	5	be	be	AUX
brj-23470	187	6	a	a	DET
brj-23470	187	7	negative	negative	ADJ
brj-23470	187	8	correlation	correlation	NOUN
brj-23470	187	9	between	between	ADP
brj-23470	187	10	chla	chla	NOUN
brj-23470	187	11	content	content	NOUN
brj-23470	187	12	and	and	CCONJ
brj-23470	187	13	orp	orp	PROPN
brj-23470	187	14	.	.	PUNCT
brj-23470	188	1	the	the	DET
brj-23470	188	2	reproduction	reproduction	NOUN
brj-23470	188	3	of	of	ADP
brj-23470	188	4	cyanobacteria	cyanobacteria	NOUN
brj-23470	188	5	results	result	NOUN
brj-23470	188	6	in	in	ADP
brj-23470	188	7	the	the	DET
brj-23470	188	8	death	death	NOUN
brj-23470	188	9	and	and	CCONJ
brj-23470	188	10	degradation	degradation	NOUN
brj-23470	188	11	of	of	ADP
brj-23470	188	12	aquatic	aquatic	ADJ
brj-23470	188	13	organisms	organism	NOUN
brj-23470	188	14	and	and	CCONJ
brj-23470	188	15	the	the	DET
brj-23470	188	16	production	production	NOUN
brj-23470	188	17	of	of	ADP
brj-23470	188	18	reducing	reduce	VERB
brj-23470	188	19	substances	substance	NOUN
brj-23470	188	20	(	(	PUNCT
brj-23470	188	21	wu	wu	PROPN
brj-23470	188	22	et	et	PROPN
brj-23470	188	23	al	al	PROPN
brj-23470	188	24	.	.	PROPN
brj-23470	188	25	2015	2015	NUM
brj-23470	188	26	)	)	PUNCT
brj-23470	188	27	.	.	PUNCT
brj-23470	189	1	a	a	DET
brj-23470	189	2	negative	negative	ADJ
brj-23470	189	3	correlation	correlation	NOUN
brj-23470	189	4	was	be	AUX
brj-23470	189	5	observed	observe	VERB
brj-23470	189	6	between	between	ADP
brj-23470	189	7	cyanobacteria	cyanobacteria	NOUN
brj-23470	189	8	concentration	concentration	NOUN
brj-23470	189	9	and	and	CCONJ
brj-23470	189	10	orp	orp	PROPN
brj-23470	189	11	.	.	PROPN
brj-23470	189	12	based	base	VERB
brj-23470	189	13	on	on	ADP
brj-23470	189	14	previous	previous	ADJ
brj-23470	189	15	study	study	NOUN
brj-23470	189	16	,	,	PUNCT
brj-23470	189	17	there	there	PRON
brj-23470	189	18	were	be	VERB
brj-23470	189	19	also	also	ADV
brj-23470	189	20	correlations	correlation	NOUN
brj-23470	189	21	between	between	ADP
brj-23470	189	22	these	these	DET
brj-23470	189	23	eutrophication	eutrophication	NOUN
brj-23470	189	24	parameters	parameter	NOUN
brj-23470	189	25	(	(	PUNCT
brj-23470	189	26	ammonia	ammonia	NOUN
brj-23470	189	27	nitrogen	nitrogen	NOUN
brj-23470	189	28	,	,	PUNCT
brj-23470	189	29	chla	chla	NOUN
brj-23470	189	30	,	,	PUNCT
brj-23470	189	31	cyanobacteria	cyanobacteria	NOUN
brj-23470	189	32	,	,	PUNCT
brj-23470	189	33	total	total	ADJ
brj-23470	189	34	nitrogen	nitrogen	NOUN
brj-23470	189	35	,	,	PUNCT
brj-23470	189	36	and	and	CCONJ
brj-23470	189	37	total	total	ADJ
brj-23470	189	38	phosphorus	phosphorus	NOUN
brj-23470	189	39	)	)	PUNCT
brj-23470	189	40	.	.	PUNCT
brj-23470	190	1	it	it	PRON
brj-23470	190	2	is	be	AUX
brj-23470	190	3	necessary	necessary	ADJ
brj-23470	190	4	to	to	PART
brj-23470	190	5	comprehensively	comprehensively	ADV
brj-23470	190	6	analyze	analyze	VERB
brj-23470	190	7	these	these	DET
brj-23470	190	8	parameters	parameter	NOUN
brj-23470	190	9	and	and	CCONJ
brj-23470	190	10	their	their	PRON
brj-23470	190	11	relationship	relationship	NOUN
brj-23470	190	12	with	with	ADP
brj-23470	190	13	orp	orp	PROPN
brj-23470	190	14	.	.	PROPN
brj-23470	190	15	principal	principal	PROPN
brj-23470	190	16	component	component	NOUN
brj-23470	190	17	analysis	analysis	NOUN
brj-23470	190	18	and	and	CCONJ
brj-23470	190	19	calculation	calculation	NOUN
brj-23470	190	20	of	of	ADP
brj-23470	190	21	eutrophication	eutrophication	NOUN
brj-23470	190	22	-	-	PUNCT
brj-23470	190	23	related	relate	VERB
brj-23470	190	24	index	index	NOUN
brj-23470	190	25	principal	principal	NOUN
brj-23470	190	26	component	component	NOUN
brj-23470	190	27	analysis	analysis	NOUN
brj-23470	190	28	(	(	PUNCT
brj-23470	190	29	pca	pca	NOUN
brj-23470	190	30	)	)	PUNCT
brj-23470	190	31	was	be	AUX
brj-23470	190	32	conducted	conduct	VERB
brj-23470	190	33	on	on	ADP
brj-23470	190	34	parameters	parameter	NOUN
brj-23470	190	35	including	include	VERB
brj-23470	190	36	ammonia	ammonia	ADJ
brj-23470	190	37	nitrogen	nitrogen	NOUN
brj-23470	190	38	(	(	PUNCT
brj-23470	190	39	z1	z1	PROPN
brj-23470	190	40	)	)	PUNCT
brj-23470	190	41	,	,	PUNCT
brj-23470	190	42	total	total	ADJ
brj-23470	190	43	phosphorus	phosphorus	NOUN
brj-23470	190	44	(	(	PUNCT
brj-23470	190	45	z2	z2	NOUN
brj-23470	190	46	)	)	PUNCT
brj-23470	190	47	,	,	PUNCT
brj-23470	190	48	total	total	ADJ
brj-23470	190	49	nitrogen	nitrogen	NOUN
brj-23470	190	50	(	(	PUNCT
brj-23470	190	51	z3	z3	PROPN
brj-23470	190	52	)	)	PUNCT
brj-23470	190	53	,	,	PUNCT
brj-23470	190	54	chlorophyll	chlorophyll	NOUN
brj-23470	190	55	-	-	PUNCT
brj-23470	190	56	a	a	DET
brj-23470	190	57	(	(	PUNCT
brj-23470	190	58	z4	z4	NOUN
brj-23470	190	59	)	)	PUNCT
brj-23470	190	60	,	,	PUNCT
brj-23470	190	61	and	and	CCONJ
brj-23470	190	62	cyanobacteria	cyanobacteria	NOUN
brj-23470	190	63	(	(	PUNCT
brj-23470	190	64	z5	z5	PROPN
brj-23470	190	65	)	)	PUNCT
brj-23470	190	66	.	.	PUNCT
brj-23470	191	1	prior	prior	ADV
brj-23470	191	2	to	to	ADP
brj-23470	191	3	performing	perform	VERB
brj-23470	191	4	factor	factor	NOUN
brj-23470	191	5	analysis	analysis	NOUN
brj-23470	191	6	,	,	PUNCT
brj-23470	191	7	the	the	DET
brj-23470	191	8	suitability	suitability	NOUN
brj-23470	191	9	of	of	ADP
brj-23470	191	10	the	the	DET
brj-23470	191	11	raw	raw	ADJ
brj-23470	191	12	data	datum	NOUN
brj-23470	191	13	was	be	AUX
brj-23470	191	14	evaluated	evaluate	VERB
brj-23470	191	15	using	use	VERB
brj-23470	191	16	the	the	DET
brj-23470	191	17	kaiser	kaiser	PROPN
brj-23470	191	18	-	-	PUNCT
brj-23470	191	19	meyer	meyer	PROPN
brj-23470	191	20	-	-	PUNCT
brj-23470	191	21	olkin	olkin	PROPN
brj-23470	191	22	(	(	PUNCT
brj-23470	191	23	kmo	kmo	NOUN
brj-23470	191	24	)	)	PUNCT
brj-23470	191	25	and	and	CCONJ
brj-23470	191	26	bartlett	bartlett	PROPN
brj-23470	191	27	’s	’s	PART
brj-23470	191	28	sphericity	sphericity	PROPN
brj-23470	191	29	test	test	NOUN
brj-23470	191	30	,	,	PUNCT
brj-23470	191	31	with	with	ADP
brj-23470	191	32	results	result	NOUN
brj-23470	191	33	presented	present	VERB
brj-23470	191	34	in	in	ADP
brj-23470	191	35	table	table	NOUN
brj-23470	191	36	1	1	NUM
brj-23470	191	37	.	.	PUNCT
brj-23470	192	1	the	the	DET
brj-23470	192	2	kmo	kmo	PROPN
brj-23470	192	3	value	value	NOUN
brj-23470	192	4	was	be	AUX
brj-23470	192	5	0.784	0.784	NUM
brj-23470	192	6	,	,	PUNCT
brj-23470	192	7	exceeding	exceed	VERB
brj-23470	192	8	0.7	0.7	NUM
brj-23470	192	9	(	(	PUNCT
brj-23470	192	10	indicating	indicate	VERB
brj-23470	192	11	suitability	suitability	NOUN
brj-23470	192	12	for	for	ADP
brj-23470	192	13	factor	factor	NOUN
brj-23470	192	14	analysis	analysis	NOUN
brj-23470	192	15	)	)	PUNCT
brj-23470	192	16	,	,	PUNCT
brj-23470	192	17	and	and	CCONJ
brj-23470	192	18	bartlett	bartlett	PROPN
brj-23470	192	19	's	's	PART
brj-23470	192	20	test	test	NOUN
brj-23470	192	21	yielded	yield	VERB
brj-23470	192	22	a	a	DET
brj-23470	192	23	sig	sig	NOUN
brj-23470	192	24	value	value	NOUN
brj-23470	192	25	much	much	ADV
brj-23470	192	26	lower	low	ADJ
brj-23470	192	27	than	than	ADP
brj-23470	192	28	0.05	0.05	NUM
brj-23470	192	29	,	,	PUNCT
brj-23470	192	30	confirming	confirm	VERB
brj-23470	192	31	the	the	DET
brj-23470	192	32	data	datum	NOUN
brj-23470	192	33	's	's	PART
brj-23470	192	34	suitability	suitability	NOUN
brj-23470	192	35	for	for	ADP
brj-23470	192	36	factor	factor	NOUN
brj-23470	192	37	analysis	analysis	NOUN
brj-23470	192	38	.	.	PUNCT
brj-23470	193	1	table	table	NOUN
brj-23470	193	2	1	1	NUM
brj-23470	193	3	.	.	PUNCT
brj-23470	193	4	kmo	kmo	PROPN
brj-23470	193	5	and	and	CCONJ
brj-23470	193	6	bartlet	bartlet	PROPN
brj-23470	193	7	test	test	NOUN
brj-23470	193	8	of	of	ADP
brj-23470	193	9	principal	principal	ADJ
brj-23470	193	10	component	component	NOUN
brj-23470	193	11	kmo	kmo	PROPN
brj-23470	193	12	approximate	approximate	PROPN
brj-23470	193	13	chi	chi	PROPN
brj-23470	193	14	square	square	PROPN
brj-23470	193	15	df	df	PROPN
brj-23470	193	16	sig	sig	PROPN
brj-23470	193	17	.	.	PUNCT
brj-23470	194	1	0.784	0.784	NUM
brj-23470	194	2	1429.131	1429.131	NUM
brj-23470	194	3	15	15	NUM
brj-23470	194	4	0.000	0.000	NUM
brj-23470	194	5	table	table	NOUN
brj-23470	194	6	2	2	NUM
brj-23470	194	7	.	.	PUNCT
brj-23470	195	1	eigenvalues	eigenvalue	NOUN
brj-23470	195	2	and	and	CCONJ
brj-23470	195	3	contribution	contribution	NOUN
brj-23470	195	4	rates	rate	NOUN
brj-23470	195	5	of	of	ADP
brj-23470	195	6	each	each	DET
brj-23470	195	7	component	component	NOUN
brj-23470	195	8	in	in	ADP
brj-23470	195	9	principal	principal	ADJ
brj-23470	195	10	component	component	NOUN
brj-23470	195	11	analysis	analysis	NOUN
brj-23470	195	12	component	component	NOUN
brj-23470	195	13	eigenvalues	eigenvalue	VERB
brj-23470	195	14	contribution	contribution	NOUN
brj-23470	195	15	rates	rate	NOUN
brj-23470	195	16	of	of	ADP
brj-23470	195	17	each	each	DET
brj-23470	195	18	component	component	NOUN
brj-23470	195	19	cumulative	cumulative	ADJ
brj-23470	195	20	contribution	contribution	NOUN
brj-23470	195	21	rate	rate	NOUN
brj-23470	195	22	1	1	NUM
brj-23470	195	23	1.939	1.939	NUM
brj-23470	195	24	38.787	38.787	NUM
brj-23470	195	25	38.787	38.787	NUM
brj-23470	195	26	2	2	NUM
brj-23470	195	27	1.127	1.127	NUM
brj-23470	195	28	22.539	22.539	NUM
brj-23470	195	29	61.326	61.326	NUM
brj-23470	195	30	3	3	NUM
brj-23470	195	31	1.024	1.024	NUM
brj-23470	195	32	20.487	20.487	NUM
brj-23470	195	33	81.814	81.814	NUM
brj-23470	195	34	4	4	NUM
brj-23470	195	35	0.690	0.690	NUM
brj-23470	195	36	13.801	13.801	NUM
brj-23470	195	37	95.615	95.615	NUM
brj-23470	195	38	5	5	NUM
brj-23470	195	39	0.219	0.219	NUM
brj-23470	195	40	4.385	4.385	NUM
brj-23470	195	41	100.00	100.00	NUM
brj-23470	195	42	by	by	ADP
brj-23470	195	43	conducting	conduct	VERB
brj-23470	195	44	factor	factor	NOUN
brj-23470	195	45	analysis	analysis	NOUN
brj-23470	195	46	on	on	ADP
brj-23470	195	47	these	these	DET
brj-23470	195	48	parameters	parameter	NOUN
brj-23470	195	49	,	,	PUNCT
brj-23470	195	50	the	the	DET
brj-23470	195	51	eutrophication	eutrophication	NOUN
brj-23470	195	52	-	-	PUNCT
brj-23470	195	53	related	relate	VERB
brj-23470	195	54	index	index	NOUN
brj-23470	195	55	of	of	ADP
brj-23470	195	56	water	water	NOUN
brj-23470	195	57	quality	quality	NOUN
brj-23470	195	58	in	in	ADP
brj-23470	195	59	the	the	DET
brj-23470	195	60	reservoir	reservoir	NOUN
brj-23470	195	61	could	could	AUX
brj-23470	195	62	be	be	AUX
brj-23470	195	63	calculated	calculate	VERB
brj-23470	195	64	.	.	PUNCT
brj-23470	196	1	the	the	DET
brj-23470	196	2	formulas	formula	NOUN
brj-23470	196	3	and	and	CCONJ
brj-23470	196	4	expressions	expression	NOUN
brj-23470	196	5	for	for	ADP
brj-23470	196	6	the	the	DET
brj-23470	196	7	three	three	NUM
brj-23470	196	8	principal	principal	ADJ
brj-23470	196	9	components	component	NOUN
brj-23470	196	10	are	be	AUX
brj-23470	196	11	shown	show	VERB
brj-23470	196	12	in	in	ADP
brj-23470	196	13	eqs	eqs	PROPN
brj-23470	196	14	.	.	PROPN
brj-23470	196	15	7	7	NUM
brj-23470	196	16	through	through	ADP
brj-23470	196	17	10	10	NUM
brj-23470	196	18	,	,	PUNCT
brj-23470	196	19	f1=-0.115z1	f1=-0.115z1	NOUN
brj-23470	196	20	-	-	PUNCT
brj-23470	196	21	0.359z2	0.359z2	NOUN
brj-23470	196	22	-	-	NOUN
brj-23470	196	23	0.485z3	0.485z3	NOUN
brj-23470	196	24	+	+	NOUN
brj-23470	196	25	0.873z4	0.873z4	NOUN
brj-23470	196	26	+	+	NOUN
brj-23470	196	27	0.894z5	0.894z5	NOUN
brj-23470	196	28	(	(	PUNCT
brj-23470	196	29	7	7	NUM
brj-23470	196	30	)	)	PUNCT
brj-23470	196	31	f2=0.188z1	f2=0.188z1	PROPN
brj-23470	197	1	+	+	NOUN
brj-23470	197	2	0.689z2	0.689z2	X
brj-23470	197	3	+	+	NOUN
brj-23470	197	4	0.634z3	0.634z3	NOUN
brj-23470	197	5	+	+	NOUN
brj-23470	197	6	0.357z4	0.357z4	NOUN
brj-23470	197	7	+	+	NOUN
brj-23470	197	8	0.296z5	0.296z5	NOUN
brj-23470	197	9	(	(	PUNCT
brj-23470	197	10	8)	8)	NUM
brj-23470	197	11	f3=0.939z1	f3=0.939z1	PROPN
brj-23470	197	12	-	-	PUNCT
brj-23470	197	13	0.364z2	0.364z2	NOUN
brj-23470	197	14	+	+	NOUN
brj-23470	197	15	0.101z3	0.101z3	NOUN
brj-23470	197	16	+	+	NOUN
brj-23470	197	17	0.011z4	0.011z4	NUM
brj-23470	197	18	+	+	NOUN
brj-23470	197	19	0.019z5	0.019z5	NUM
brj-23470	197	20	(	(	PUNCT
brj-23470	197	21	9	9	NUM
brj-23470	197	22	)	)	PUNCT
brj-23470	197	23	f=0.474f1	f=0.474f1	NOUN
brj-23470	197	24	+	+	NOUN
brj-23470	197	25	0.275f2	0.275f2	NOUN
brj-23470	197	26	+	+	NOUN
brj-23470	197	27	0.25f3	0.25f3	NOUN
brj-23470	197	28	(	(	PUNCT
brj-23470	197	29	10	10	NUM
brj-23470	197	30	)	)	PUNCT
brj-23470	197	31	peer	peer	NOUN
brj-23470	197	32	-	-	PUNCT
brj-23470	197	33	reviewed	review	VERB
brj-23470	197	34	article	article	NOUN
brj-23470	197	35	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	197	36	zhang	zhang	PROPN
brj-23470	197	37	et	et	PROPN
brj-23470	197	38	al	al	PROPN
brj-23470	197	39	.	.	PROPN
brj-23470	198	1	(	(	PUNCT
brj-23470	198	2	2024	2024	NUM
brj-23470	198	3	)	)	PUNCT
brj-23470	198	4	.	.	PUNCT
brj-23470	199	1	“	"	PUNCT
brj-23470	199	2	activated	activate	VERB
brj-23470	199	3	carbon	carbon	NOUN
brj-23470	199	4	from	from	ADP
brj-23470	199	5	sludge	sludge	NOUN
brj-23470	199	6	,	,	PUNCT
brj-23470	199	7	”	"	PUNCT
brj-23470	199	8	bioresources	bioresource	NOUN
brj-23470	199	9	19(3	19(3	NUM
brj-23470	199	10	)	)	PUNCT
brj-23470	199	11	,	,	PUNCT
brj-23470	199	12	4941	4941	NUM
brj-23470	199	13	-	-	SYM
brj-23470	199	14	4959	4959	NUM
brj-23470	199	15	.	.	PUNCT
brj-23470	200	1	4949	4949	NUM
brj-23470	200	2	where	where	SCONJ
brj-23470	200	3	z1	z1	PROPN
brj-23470	200	4	represented	represent	VERB
brj-23470	200	5	ammonia	ammonia	NOUN
brj-23470	200	6	nitrogen	nitrogen	NOUN
brj-23470	200	7	concentration	concentration	NOUN
brj-23470	200	8	(	(	PUNCT
brj-23470	200	9	the	the	DET
brj-23470	200	10	standardized	standardized	ADJ
brj-23470	200	11	value	value	NOUN
brj-23470	200	12	)	)	PUNCT
brj-23470	200	13	,	,	PUNCT
brj-23470	200	14	z2	z2	PROPN
brj-23470	200	15	represented	represent	VERB
brj-23470	200	16	tp	tp	ADP
brj-23470	200	17	concentration	concentration	NOUN
brj-23470	200	18	(	(	PUNCT
brj-23470	200	19	the	the	DET
brj-23470	200	20	standardized	standardized	ADJ
brj-23470	200	21	value	value	NOUN
brj-23470	200	22	)	)	PUNCT
brj-23470	200	23	,	,	PUNCT
brj-23470	200	24	z3	z3	PROPN
brj-23470	200	25	represented	represent	VERB
brj-23470	200	26	tn	tn	NOUN
brj-23470	200	27	concentration	concentration	NOUN
brj-23470	200	28	(	(	PUNCT
brj-23470	200	29	the	the	DET
brj-23470	200	30	standardized	standardized	ADJ
brj-23470	200	31	value	value	NOUN
brj-23470	200	32	)	)	PUNCT
brj-23470	200	33	,	,	PUNCT
brj-23470	200	34	z4	z4	PROPN
brj-23470	200	35	represented	represent	VERB
brj-23470	200	36	chla	chla	NOUN
brj-23470	200	37	concentration	concentration	NOUN
brj-23470	200	38	(	(	PUNCT
brj-23470	200	39	the	the	DET
brj-23470	200	40	standardized	standardized	ADJ
brj-23470	200	41	value	value	NOUN
brj-23470	200	42	)	)	PUNCT
brj-23470	200	43	,	,	PUNCT
brj-23470	200	44	and	and	CCONJ
brj-23470	200	45	z5	z5	PROPN
brj-23470	200	46	represented	represent	VERB
brj-23470	200	47	cyanobacteria	cyanobacteria	NOUN
brj-23470	200	48	concentration	concentration	NOUN
brj-23470	200	49	(	(	PUNCT
brj-23470	200	50	the	the	DET
brj-23470	200	51	standardized	standardized	ADJ
brj-23470	200	52	value	value	NOUN
brj-23470	200	53	)	)	PUNCT
brj-23470	200	54	.	.	PUNCT
brj-23470	201	1	"	"	PUNCT
brj-23470	201	2	f	f	X
brj-23470	201	3	"	"	PUNCT
brj-23470	201	4	stands	stand	VERB
brj-23470	201	5	for	for	ADP
brj-23470	201	6	eutrophication	eutrophication	NOUN
brj-23470	201	7	index	index	NOUN
brj-23470	201	8	.	.	PUNCT
brj-23470	202	1	fig	fig	NOUN
brj-23470	202	2	.	.	PUNCT
brj-23470	203	1	1	1	X
brj-23470	203	2	.	.	X
brj-23470	203	3	main	main	ADJ
brj-23470	203	4	components	component	NOUN
brj-23470	203	5	of	of	ADP
brj-23470	203	6	principal	principal	ADJ
brj-23470	203	7	component	component	NOUN
brj-23470	203	8	analysis	analysis	NOUN
brj-23470	203	9	(	(	PUNCT
brj-23470	203	10	pca	pca	NOUN
brj-23470	203	11	)	)	PUNCT
brj-23470	203	12	a	a	DET
brj-23470	203	13	rotated	rotate	VERB
brj-23470	203	14	component	component	NOUN
brj-23470	203	15	matrix	matrix	NOUN
brj-23470	203	16	was	be	AUX
brj-23470	203	17	obtained	obtain	VERB
brj-23470	203	18	(	(	PUNCT
brj-23470	203	19	fig	fig	NOUN
brj-23470	203	20	.	.	NOUN
brj-23470	203	21	1	1	NUM
brj-23470	203	22	)	)	PUNCT
brj-23470	203	23	.	.	PUNCT
brj-23470	204	1	according	accord	VERB
brj-23470	204	2	to	to	ADP
brj-23470	204	3	the	the	DET
brj-23470	204	4	pca	pca	NOUN
brj-23470	204	5	results	result	NOUN
brj-23470	204	6	(	(	PUNCT
brj-23470	204	7	fig	fig	NOUN
brj-23470	204	8	.	.	PUNCT
brj-23470	204	9	1	1	NUM
brj-23470	204	10	,	,	PUNCT
brj-23470	204	11	table	table	NOUN
brj-23470	204	12	2	2	NUM
brj-23470	204	13	,	,	PUNCT
brj-23470	204	14	and	and	CCONJ
brj-23470	204	15	eqs	eqs	PROPN
brj-23470	204	16	.	.	PROPN
brj-23470	204	17	7	7	NUM
brj-23470	204	18	through	through	ADP
brj-23470	204	19	10	10	NUM
brj-23470	204	20	)	)	PUNCT
brj-23470	204	21	,	,	PUNCT
brj-23470	204	22	the	the	DET
brj-23470	204	23	first	first	ADJ
brj-23470	204	24	component	component	NOUN
brj-23470	204	25	(	(	PUNCT
brj-23470	204	26	f1	f1	NOUN
brj-23470	204	27	)	)	PUNCT
brj-23470	204	28	exhibited	exhibit	VERB
brj-23470	204	29	the	the	DET
brj-23470	204	30	highest	high	ADJ
brj-23470	204	31	contribution	contribution	NOUN
brj-23470	204	32	to	to	PART
brj-23470	204	33	variance	variance	NOUN
brj-23470	204	34	,	,	PUNCT
brj-23470	204	35	38.8	38.8	NUM
brj-23470	204	36	%	%	NOUN
brj-23470	204	37	,	,	PUNCT
brj-23470	204	38	which	which	PRON
brj-23470	204	39	was	be	AUX
brj-23470	204	40	strongly	strongly	ADV
brj-23470	204	41	correlated	correlate	VERB
brj-23470	204	42	with	with	ADP
brj-23470	204	43	chlorophyll	chlorophyll	NOUN
brj-23470	204	44	-	-	PUNCT
brj-23470	204	45	a	a	DET
brj-23470	204	46	(	(	PUNCT
brj-23470	204	47	z4	z4	X
brj-23470	204	48	)	)	PUNCT
brj-23470	204	49	and	and	CCONJ
brj-23470	204	50	cyanobacteria	cyanobacteria	NOUN
brj-23470	204	51	(	(	PUNCT
brj-23470	204	52	z5	z5	PROPN
brj-23470	204	53	)	)	PUNCT
brj-23470	204	54	,	,	PUNCT
brj-23470	204	55	emphasizing	emphasize	VERB
brj-23470	204	56	its	its	PRON
brj-23470	204	57	significance	significance	NOUN
brj-23470	204	58	over	over	ADP
brj-23470	204	59	other	other	ADJ
brj-23470	204	60	components	component	NOUN
brj-23470	204	61	.	.	PUNCT
brj-23470	205	1	the	the	DET
brj-23470	205	2	second	second	ADJ
brj-23470	205	3	component	component	NOUN
brj-23470	205	4	contributed	contribute	VERB
brj-23470	205	5	22.5	22.5	NUM
brj-23470	205	6	%	%	NOUN
brj-23470	205	7	of	of	ADP
brj-23470	205	8	the	the	DET
brj-23470	205	9	variance	variance	NOUN
brj-23470	205	10	,	,	PUNCT
brj-23470	205	11	which	which	PRON
brj-23470	205	12	was	be	AUX
brj-23470	205	13	closely	closely	ADV
brj-23470	205	14	associated	associate	VERB
brj-23470	205	15	with	with	ADP
brj-23470	205	16	total	total	ADJ
brj-23470	205	17	phosphorus	phosphorus	NOUN
brj-23470	205	18	(	(	PUNCT
brj-23470	205	19	z2	z2	NOUN
brj-23470	205	20	)	)	PUNCT
brj-23470	205	21	and	and	CCONJ
brj-23470	205	22	total	total	ADJ
brj-23470	205	23	nitrogen	nitrogen	NOUN
brj-23470	205	24	(	(	PUNCT
brj-23470	205	25	z3	z3	PROPN
brj-23470	205	26	)	)	PUNCT
brj-23470	205	27	.	.	PUNCT
brj-23470	206	1	the	the	DET
brj-23470	206	2	third	third	ADJ
brj-23470	206	3	component	component	NOUN
brj-23470	206	4	contributed	contribute	VERB
brj-23470	206	5	20.49	20.49	NUM
brj-23470	206	6	%	%	NOUN
brj-23470	206	7	of	of	ADP
brj-23470	206	8	the	the	DET
brj-23470	206	9	variance	variance	NOUN
brj-23470	206	10	,	,	PUNCT
brj-23470	206	11	which	which	PRON
brj-23470	206	12	was	be	AUX
brj-23470	206	13	closely	closely	ADV
brj-23470	206	14	related	relate	VERB
brj-23470	206	15	to	to	ADP
brj-23470	206	16	ammonia	ammonia	ADJ
brj-23470	206	17	nitrogen	nitrogen	NOUN
brj-23470	206	18	(	(	PUNCT
brj-23470	206	19	z1	z1	PROPN
brj-23470	206	20	)	)	PUNCT
brj-23470	206	21	.	.	PUNCT
brj-23470	207	1	this	this	DET
brj-23470	207	2	conclusion	conclusion	NOUN
brj-23470	207	3	aligned	align	VERB
brj-23470	207	4	with	with	ADP
brj-23470	207	5	previous	previous	ADJ
brj-23470	207	6	correlation	correlation	NOUN
brj-23470	207	7	analysis	analysis	NOUN
brj-23470	207	8	findings	finding	NOUN
brj-23470	207	9	.	.	PUNCT
brj-23470	208	1	in	in	ADP
brj-23470	208	2	fig	fig	NOUN
brj-23470	208	3	.	.	PUNCT
brj-23470	209	1	1	1	NUM
brj-23470	209	2	,	,	PUNCT
brj-23470	209	3	arrows	arrow	NOUN
brj-23470	209	4	represent	represent	VERB
brj-23470	209	5	principal	principal	ADJ
brj-23470	209	6	component	component	NOUN
brj-23470	209	7	loadings	loading	NOUN
brj-23470	209	8	,	,	PUNCT
brj-23470	209	9	reflecting	reflect	VERB
brj-23470	209	10	correlation	correlation	NOUN
brj-23470	209	11	coefficients	coefficient	NOUN
brj-23470	209	12	between	between	ADP
brj-23470	209	13	the	the	DET
brj-23470	209	14	original	original	ADJ
brj-23470	209	15	variables	variable	NOUN
brj-23470	209	16	and	and	CCONJ
brj-23470	209	17	the	the	DET
brj-23470	209	18	principal	principal	ADJ
brj-23470	209	19	components	component	NOUN
brj-23470	209	20	.	.	PUNCT
brj-23470	210	1	each	each	DET
brj-23470	210	2	arrow	arrow	NOUN
brj-23470	210	3	corresponds	correspond	VERB
brj-23470	210	4	to	to	ADP
brj-23470	210	5	an	an	DET
brj-23470	210	6	original	original	ADJ
brj-23470	210	7	feature	feature	NOUN
brj-23470	210	8	.	.	PUNCT
brj-23470	211	1	the	the	DET
brj-23470	211	2	arrows	arrow	NOUN
brj-23470	211	3	labeled	label	VERB
brj-23470	211	4	z1	z1	PROPN
brj-23470	211	5	,	,	PUNCT
brj-23470	211	6	z2	z2	PROPN
brj-23470	211	7	,	,	PUNCT
brj-23470	211	8	z3	z3	PROPN
brj-23470	211	9	,	,	PUNCT
brj-23470	211	10	z4	z4	PROPN
brj-23470	211	11	,	,	PUNCT
brj-23470	211	12	and	and	CCONJ
brj-23470	211	13	z5	z5	PROPN
brj-23470	211	14	denote	denote	NOUN
brj-23470	211	15	ammonia	ammonia	NOUN
brj-23470	211	16	nitrogen	nitrogen	NOUN
brj-23470	211	17	,	,	PUNCT
brj-23470	211	18	total	total	ADJ
brj-23470	211	19	phosphorus	phosphorus	NOUN
brj-23470	211	20	,	,	PUNCT
brj-23470	211	21	total	total	ADJ
brj-23470	211	22	nitrogen	nitrogen	NOUN
brj-23470	211	23	,	,	PUNCT
brj-23470	211	24	chlorophyll	chlorophyll	NOUN
brj-23470	211	25	-	-	PUNCT
brj-23470	211	26	a	a	NOUN
brj-23470	211	27	,	,	PUNCT
brj-23470	211	28	and	and	CCONJ
brj-23470	211	29	cyanobacteria	cyanobacteria	NOUN
brj-23470	211	30	,	,	PUNCT
brj-23470	211	31	respectively	respectively	ADV
brj-23470	211	32	.	.	PUNCT
brj-23470	212	1	the	the	DET
brj-23470	212	2	direction	direction	NOUN
brj-23470	212	3	of	of	ADP
brj-23470	212	4	the	the	DET
brj-23470	212	5	arrows	arrow	NOUN
brj-23470	212	6	indicates	indicate	VERB
brj-23470	212	7	the	the	DET
brj-23470	212	8	orientation	orientation	NOUN
brj-23470	212	9	of	of	ADP
brj-23470	212	10	the	the	DET
brj-23470	212	11	feature	feature	NOUN
brj-23470	212	12	in	in	ADP
brj-23470	212	13	the	the	DET
brj-23470	212	14	principal	principal	ADJ
brj-23470	212	15	component	component	NOUN
brj-23470	212	16	space	space	NOUN
brj-23470	212	17	.	.	PUNCT
brj-23470	213	1	taking	take	VERB
brj-23470	213	2	the	the	DET
brj-23470	213	3	composition	composition	NOUN
brj-23470	213	4	of	of	ADP
brj-23470	213	5	f1	f1	NOUN
brj-23470	213	6	as	as	ADP
brj-23470	213	7	an	an	DET
brj-23470	213	8	example	example	NOUN
brj-23470	213	9	,	,	PUNCT
brj-23470	213	10	arrows	arrow	NOUN
brj-23470	213	11	for	for	ADP
brj-23470	213	12	z1	z1	NOUN
brj-23470	213	13	,	,	PUNCT
brj-23470	213	14	z2	z2	PROPN
brj-23470	213	15	,	,	PUNCT
brj-23470	213	16	and	and	CCONJ
brj-23470	213	17	z3	z3	PROPN
brj-23470	213	18	roughly	roughly	ADV
brj-23470	213	19	shared	share	VERB
brj-23470	213	20	the	the	DET
brj-23470	213	21	same	same	ADJ
brj-23470	213	22	direction	direction	NOUN
brj-23470	213	23	,	,	PUNCT
brj-23470	213	24	and	and	CCONJ
brj-23470	213	25	arrows	arrow	NOUN
brj-23470	213	26	for	for	ADP
brj-23470	213	27	z4	z4	PROPN
brj-23470	213	28	and	and	CCONJ
brj-23470	213	29	z5	z5	PROPN
brj-23470	213	30	exhibited	exhibit	VERB
brj-23470	213	31	a	a	DET
brj-23470	213	32	similar	similar	ADJ
brj-23470	213	33	direction	direction	NOUN
brj-23470	213	34	.	.	PUNCT
brj-23470	214	1	the	the	DET
brj-23470	214	2	length	length	NOUN
brj-23470	214	3	of	of	ADP
brj-23470	214	4	the	the	DET
brj-23470	214	5	arrows	arrow	NOUN
brj-23470	214	6	represents	represent	VERB
brj-23470	214	7	the	the	DET
brj-23470	214	8	contribution	contribution	NOUN
brj-23470	214	9	or	or	CCONJ
brj-23470	214	10	weight	weight	NOUN
brj-23470	214	11	of	of	ADP
brj-23470	214	12	the	the	DET
brj-23470	214	13	feature	feature	NOUN
brj-23470	214	14	in	in	ADP
brj-23470	214	15	the	the	DET
brj-23470	214	16	principal	principal	ADJ
brj-23470	214	17	component	component	NOUN
brj-23470	214	18	space	space	NOUN
brj-23470	214	19	.	.	PUNCT
brj-23470	215	1	both	both	CCONJ
brj-23470	215	2	the	the	DET
brj-23470	215	3	direction	direction	NOUN
brj-23470	215	4	and	and	CCONJ
brj-23470	215	5	length	length	NOUN
brj-23470	215	6	of	of	ADP
brj-23470	215	7	the	the	DET
brj-23470	215	8	arrows	arrow	NOUN
brj-23470	215	9	are	be	AUX
brj-23470	215	10	calculated	calculate	VERB
brj-23470	215	11	through	through	ADP
brj-23470	215	12	pca	pca	PROPN
brj-23470	215	13	of	of	ADP
brj-23470	215	14	the	the	DET
brj-23470	215	15	raw	raw	ADJ
brj-23470	215	16	data	datum	NOUN
brj-23470	215	17	.	.	PUNCT
brj-23470	216	1	this	this	DET
brj-23470	216	2	result	result	NOUN
brj-23470	216	3	was	be	AUX
brj-23470	216	4	completely	completely	ADV
brj-23470	216	5	consistent	consistent	ADJ
brj-23470	216	6	with	with	ADP
brj-23470	216	7	the	the	DET
brj-23470	216	8	formula	formula	NOUN
brj-23470	216	9	of	of	ADP
brj-23470	216	10	f1	f1	PROPN
brj-23470	216	11	(	(	PUNCT
brj-23470	216	12	eqs	eqs	X
brj-23470	216	13	.	.	PROPN
brj-23470	216	14	7	7	NUM
brj-23470	216	15	)	)	PUNCT
brj-23470	216	16	.	.	PUNCT
brj-23470	217	1	at	at	ADP
brj-23470	217	2	the	the	DET
brj-23470	217	3	same	same	ADJ
brj-23470	217	4	time	time	NOUN
brj-23470	217	5	,	,	PUNCT
brj-23470	217	6	during	during	ADP
brj-23470	217	7	the	the	DET
brj-23470	217	8	pca	pca	NOUN
brj-23470	217	9	computation	computation	NOUN
brj-23470	217	10	using	use	VERB
brj-23470	217	11	spss	spss	PROPN
brj-23470	217	12	,	,	PUNCT
brj-23470	217	13	a	a	DET
brj-23470	217	14	third	third	ADJ
brj-23470	217	15	principal	principal	ADJ
brj-23470	217	16	component	component	NOUN
brj-23470	217	17	was	be	AUX
brj-23470	217	18	identified	identify	VERB
brj-23470	217	19	,	,	PUNCT
brj-23470	217	20	contributing	contribute	VERB
brj-23470	217	21	20.487	20.487	NUM
brj-23470	217	22	%	%	NOUN
brj-23470	217	23	of	of	ADP
brj-23470	217	24	the	the	DET
brj-23470	217	25	variance	variance	NOUN
brj-23470	217	26	,	,	PUNCT
brj-23470	217	27	leading	lead	VERB
brj-23470	217	28	to	to	ADP
brj-23470	217	29	a	a	DET
brj-23470	217	30	subdivision	subdivision	NOUN
brj-23470	217	31	into	into	ADP
brj-23470	217	32	three	three	NUM
brj-23470	217	33	principal	principal	ADJ
brj-23470	217	34	components	component	NOUN
brj-23470	217	35	(	(	PUNCT
brj-23470	217	36	table	table	NOUN
brj-23470	217	37	2	2	NUM
brj-23470	217	38	)	)	PUNCT
brj-23470	217	39	.	.	PUNCT
brj-23470	218	1	compared	compare	VERB
brj-23470	218	2	with	with	ADP
brj-23470	218	3	other	other	ADJ
brj-23470	218	4	studies	study	NOUN
brj-23470	218	5	,	,	PUNCT
brj-23470	218	6	mishra	mishra	PROPN
brj-23470	218	7	conducted	conduct	VERB
brj-23470	218	8	an	an	DET
brj-23470	218	9	analysis	analysis	NOUN
brj-23470	218	10	on	on	ADP
brj-23470	218	11	16	16	NUM
brj-23470	218	12	physicochemical	physicochemical	ADJ
brj-23470	218	13	and	and	CCONJ
brj-23470	218	14	bacteriological	bacteriological	ADJ
brj-23470	218	15	variables	variable	NOUN
brj-23470	218	16	.	.	PUNCT
brj-23470	219	1	pca	pca	PROPN
brj-23470	219	2	was	be	AUX
brj-23470	219	3	applied	apply	VERB
brj-23470	219	4	to	to	PART
brj-23470	219	5	extract	extract	VERB
brj-23470	219	6	the	the	DET
brj-23470	219	7	most	most	ADV
brj-23470	219	8	significant	significant	ADJ
brj-23470	219	9	parameters	parameter	NOUN
brj-23470	219	10	for	for	ADP
brj-23470	219	11	assessing	assess	VERB
brj-23470	219	12	water	water	NOUN
brj-23470	219	13	quality	quality	NOUN
brj-23470	219	14	changes	change	NOUN
brj-23470	219	15	.	.	PUNCT
brj-23470	220	1	four	four	NUM
brj-23470	220	2	main	main	ADJ
brj-23470	220	3	factors	factor	NOUN
brj-23470	220	4	were	be	AUX
brj-23470	220	5	identified	identify	VERB
brj-23470	220	6	(	(	PUNCT
brj-23470	220	7	nutrient	nutrient	NOUN
brj-23470	220	8	factors	factor	NOUN
brj-23470	220	9	,	,	PUNCT
brj-23470	220	10	sewage	sewage	NOUN
brj-23470	220	11	and	and	CCONJ
brj-23470	220	12	fecal	fecal	ADJ
brj-23470	220	13	contamination	contamination	NOUN
brj-23470	220	14	,	,	PUNCT
brj-23470	220	15	sources	source	NOUN
brj-23470	220	16	of	of	ADP
brj-23470	220	17	physicochemical	physicochemical	ADJ
brj-23470	220	18	variability	variability	NOUN
brj-23470	220	19	,	,	PUNCT
brj-23470	220	20	and	and	CCONJ
brj-23470	220	21	water	water	NOUN
brj-23470	220	22	pollution	pollution	NOUN
brj-23470	220	23	from	from	ADP
brj-23470	220	24	industrial	industrial	ADJ
brj-23470	220	25	waste	waste	NOUN
brj-23470	220	26	and	and	CCONJ
brj-23470	220	27	organic	organic	ADJ
brj-23470	220	28	load	load	NOUN
brj-23470	220	29	)	)	PUNCT
brj-23470	220	30	,	,	PUNCT
brj-23470	220	31	which	which	PRON
brj-23470	220	32	collectively	collectively	ADV
brj-23470	220	33	account	account	VERB
brj-23470	220	34	for	for	ADP
brj-23470	220	35	90	90	NUM
brj-23470	220	36	%	%	NOUN
brj-23470	220	37	of	of	ADP
brj-23470	220	38	peer	peer	NOUN
brj-23470	220	39	-	-	PUNCT
brj-23470	220	40	reviewed	review	VERB
brj-23470	220	41	article	article	NOUN
brj-23470	220	42	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	220	43	zhang	zhang	PROPN
brj-23470	220	44	et	et	PROPN
brj-23470	220	45	al	al	PROPN
brj-23470	220	46	.	.	PROPN
brj-23470	221	1	(	(	PUNCT
brj-23470	221	2	2024	2024	NUM
brj-23470	221	3	)	)	PUNCT
brj-23470	221	4	.	.	PUNCT
brj-23470	222	1	“	"	PUNCT
brj-23470	222	2	activated	activate	VERB
brj-23470	222	3	carbon	carbon	NOUN
brj-23470	222	4	from	from	ADP
brj-23470	222	5	sludge	sludge	NOUN
brj-23470	222	6	,	,	PUNCT
brj-23470	222	7	”	"	PUNCT
brj-23470	222	8	bioresources	bioresource	NOUN
brj-23470	222	9	19(3	19(3	NUM
brj-23470	222	10	)	)	PUNCT
brj-23470	222	11	,	,	PUNCT
brj-23470	222	12	4941	4941	NUM
brj-23470	222	13	-	-	SYM
brj-23470	222	14	4959	4959	NUM
brj-23470	222	15	.	.	PUNCT
brj-23470	223	1	4950	4950	NUM
brj-23470	223	2	the	the	DET
brj-23470	223	3	total	total	ADJ
brj-23470	223	4	variance	variance	NOUN
brj-23470	223	5	(	(	PUNCT
brj-23470	223	6	mishra	mishra	PROPN
brj-23470	223	7	2010	2010	NUM
brj-23470	223	8	)	)	PUNCT
brj-23470	223	9	.	.	PUNCT
brj-23470	224	1	ibrahim	ibrahim	PROPN
brj-23470	224	2	et	et	PROPN
brj-23470	224	3	al	al	PROPN
brj-23470	224	4	.	.	PROPN
brj-23470	225	1	(	(	PUNCT
brj-23470	225	2	2023	2023	NUM
brj-23470	225	3	)	)	PUNCT
brj-23470	225	4	used	use	VERB
brj-23470	225	5	pca	pca	PROPN
brj-23470	225	6	and	and	CCONJ
brj-23470	225	7	artificial	artificial	ADJ
brj-23470	225	8	neural	neural	ADJ
brj-23470	225	9	network	network	NOUN
brj-23470	225	10	(	(	PUNCT
brj-23470	225	11	ann	ann	PROPN
brj-23470	225	12	)	)	PUNCT
brj-23470	225	13	to	to	PART
brj-23470	225	14	study	study	VERB
brj-23470	225	15	the	the	DET
brj-23470	225	16	potential	potential	ADJ
brj-23470	225	17	pollution	pollution	NOUN
brj-23470	225	18	that	that	PRON
brj-23470	225	19	caused	cause	VERB
brj-23470	225	20	spatial	spatial	ADJ
brj-23470	225	21	variations	variation	NOUN
brj-23470	225	22	in	in	ADP
brj-23470	225	23	water	water	NOUN
brj-23470	225	24	quality	quality	NOUN
brj-23470	225	25	and	and	CCONJ
brj-23470	225	26	the	the	DET
brj-23470	225	27	results	result	NOUN
brj-23470	225	28	demonstrated	demonstrate	VERB
brj-23470	225	29	that	that	SCONJ
brj-23470	225	30	the	the	DET
brj-23470	225	31	pca	pca	PROPN
brj-23470	225	32	and	and	CCONJ
brj-23470	225	33	ann	ann	PROPN
brj-23470	225	34	methods	method	NOUN
brj-23470	225	35	can	can	AUX
brj-23470	225	36	serve	serve	VERB
brj-23470	225	37	as	as	ADP
brj-23470	225	38	decisionmaking	decisionmake	VERB
brj-23470	225	39	and	and	CCONJ
brj-23470	225	40	problem	problem	NOUN
brj-23470	225	41	-	-	PUNCT
brj-23470	225	42	solving	solve	VERB
brj-23470	225	43	tools	tool	NOUN
brj-23470	225	44	for	for	ADP
brj-23470	225	45	better	well	ADJ
brj-23470	225	46	river	river	NOUN
brj-23470	225	47	water	water	NOUN
brj-23470	225	48	quality	quality	NOUN
brj-23470	225	49	management	management	NOUN
brj-23470	225	50	.	.	PUNCT
brj-23470	226	1	therefore	therefore	ADV
brj-23470	226	2	,	,	PUNCT
brj-23470	226	3	it	it	PRON
brj-23470	226	4	can	can	AUX
brj-23470	226	5	be	be	AUX
brj-23470	226	6	seen	see	VERB
brj-23470	226	7	that	that	SCONJ
brj-23470	226	8	the	the	DET
brj-23470	226	9	use	use	NOUN
brj-23470	226	10	of	of	ADP
brj-23470	226	11	pca	pca	NOUN
brj-23470	226	12	for	for	ADP
brj-23470	226	13	the	the	DET
brj-23470	226	14	comprehensive	comprehensive	ADJ
brj-23470	226	15	analysis	analysis	NOUN
brj-23470	226	16	of	of	ADP
brj-23470	226	17	water	water	NOUN
brj-23470	226	18	pollution	pollution	NOUN
brj-23470	226	19	is	be	AUX
brj-23470	226	20	an	an	DET
brj-23470	226	21	effective	effective	ADJ
brj-23470	226	22	and	and	CCONJ
brj-23470	226	23	feasible	feasible	ADJ
brj-23470	226	24	approach	approach	NOUN
brj-23470	226	25	.	.	PUNCT
brj-23470	227	1	observing	observe	VERB
brj-23470	227	2	the	the	DET
brj-23470	227	3	relationship	relationship	NOUN
brj-23470	227	4	between	between	ADP
brj-23470	227	5	the	the	DET
brj-23470	227	6	water	water	NOUN
brj-23470	227	7	eutrophication	eutrophication	NOUN
brj-23470	227	8	-	-	PUNCT
brj-23470	227	9	related	relate	VERB
brj-23470	227	10	index	index	NOUN
brj-23470	227	11	and	and	CCONJ
brj-23470	227	12	the	the	DET
brj-23470	227	13	month	month	NOUN
brj-23470	227	14	(	(	PUNCT
brj-23470	227	15	fig	fig	NOUN
brj-23470	227	16	.	.	PUNCT
brj-23470	228	1	2	2	NUM
brj-23470	228	2	)	)	PUNCT
brj-23470	228	3	,	,	PUNCT
brj-23470	228	4	the	the	DET
brj-23470	228	5	eutrophication	eutrophication	NOUN
brj-23470	228	6	index	index	NOUN
brj-23470	228	7	was	be	AUX
brj-23470	228	8	higher	high	ADJ
brj-23470	228	9	during	during	ADP
brj-23470	228	10	the	the	DET
brj-23470	228	11	summer	summer	NOUN
brj-23470	228	12	,	,	PUNCT
brj-23470	228	13	indicating	indicate	VERB
brj-23470	228	14	poor	poor	ADJ
brj-23470	228	15	water	water	NOUN
brj-23470	228	16	quality	quality	NOUN
brj-23470	228	17	.	.	PUNCT
brj-23470	229	1	this	this	PRON
brj-23470	229	2	may	may	AUX
brj-23470	229	3	be	be	AUX
brj-23470	229	4	due	due	ADJ
brj-23470	229	5	to	to	ADP
brj-23470	229	6	the	the	DET
brj-23470	229	7	elevated	elevated	ADJ
brj-23470	229	8	summer	summer	NOUN
brj-23470	229	9	temperatures	temperature	NOUN
brj-23470	229	10	and	and	CCONJ
brj-23470	229	11	increased	increase	VERB
brj-23470	229	12	light	light	ADJ
brj-23470	229	13	intensity	intensity	NOUN
brj-23470	229	14	,	,	PUNCT
brj-23470	229	15	promoting	promote	VERB
brj-23470	229	16	the	the	DET
brj-23470	229	17	growth	growth	NOUN
brj-23470	229	18	of	of	ADP
brj-23470	229	19	aquatic	aquatic	ADJ
brj-23470	229	20	plants	plant	NOUN
brj-23470	229	21	and	and	CCONJ
brj-23470	229	22	nutrient	nutrient	ADJ
brj-23470	229	23	cycling	cycling	NOUN
brj-23470	229	24	.	.	PUNCT
brj-23470	230	1	additionally	additionally	ADV
brj-23470	230	2	,	,	PUNCT
brj-23470	230	3	the	the	DET
brj-23470	230	4	summer	summer	NOUN
brj-23470	230	5	season	season	NOUN
brj-23470	230	6	typically	typically	ADV
brj-23470	230	7	experiences	experience	VERB
brj-23470	230	8	frequent	frequent	ADJ
brj-23470	230	9	rainfall	rainfall	NOUN
brj-23470	230	10	.	.	PUNCT
brj-23470	231	1	increased	increase	VERB
brj-23470	231	2	precipitation	precipitation	NOUN
brj-23470	231	3	results	result	NOUN
brj-23470	231	4	in	in	ADP
brj-23470	231	5	more	more	ADJ
brj-23470	231	6	runoff	runoff	NOUN
brj-23470	231	7	entering	enter	VERB
brj-23470	231	8	reservoirs	reservoir	NOUN
brj-23470	231	9	,	,	PUNCT
brj-23470	231	10	carrying	carry	VERB
brj-23470	231	11	a	a	DET
brj-23470	231	12	significant	significant	ADJ
brj-23470	231	13	amount	amount	NOUN
brj-23470	231	14	of	of	ADP
brj-23470	231	15	nutrients	nutrient	NOUN
brj-23470	231	16	and	and	CCONJ
brj-23470	231	17	pollutants	pollutant	NOUN
brj-23470	231	18	into	into	ADP
brj-23470	231	19	the	the	DET
brj-23470	231	20	water	water	NOUN
brj-23470	231	21	.	.	PUNCT
brj-23470	232	1	these	these	DET
brj-23470	232	2	nutrients	nutrient	NOUN
brj-23470	232	3	and	and	CCONJ
brj-23470	232	4	pollutants	pollutant	NOUN
brj-23470	232	5	may	may	AUX
brj-23470	232	6	originate	originate	VERB
brj-23470	232	7	from	from	ADP
brj-23470	232	8	activities	activity	NOUN
brj-23470	232	9	such	such	ADJ
brj-23470	232	10	as	as	ADP
brj-23470	232	11	agricultural	agricultural	ADJ
brj-23470	232	12	fertilization	fertilization	NOUN
brj-23470	232	13	and	and	CCONJ
brj-23470	232	14	urban	urban	ADJ
brj-23470	232	15	emissions	emission	NOUN
brj-23470	232	16	,	,	PUNCT
brj-23470	232	17	further	far	ADV
brj-23470	232	18	intensifying	intensify	VERB
brj-23470	232	19	the	the	DET
brj-23470	232	20	degree	degree	NOUN
brj-23470	232	21	of	of	ADP
brj-23470	232	22	eutrophication	eutrophication	NOUN
brj-23470	232	23	in	in	ADP
brj-23470	232	24	the	the	DET
brj-23470	232	25	reservoir	reservoir	NOUN
brj-23470	232	26	.	.	PUNCT
brj-23470	233	1	the	the	DET
brj-23470	233	2	eutrophication	eutrophication	NOUN
brj-23470	233	3	problem	problem	NOUN
brj-23470	233	4	in	in	ADP
brj-23470	233	5	reservoirs	reservoir	NOUN
brj-23470	233	6	requires	require	VERB
brj-23470	233	7	better	well	ADJ
brj-23470	233	8	monitoring	monitoring	NOUN
brj-23470	233	9	,	,	PUNCT
brj-23470	233	10	which	which	PRON
brj-23470	233	11	once	once	ADV
brj-23470	233	12	again	again	ADV
brj-23470	233	13	confirms	confirm	VERB
brj-23470	233	14	the	the	DET
brj-23470	233	15	significance	significance	NOUN
brj-23470	233	16	of	of	ADP
brj-23470	233	17	this	this	DET
brj-23470	233	18	study	study	NOUN
brj-23470	233	19	.	.	PUNCT
brj-23470	234	1	fig	fig	NOUN
brj-23470	234	2	.	.	PUNCT
brj-23470	235	1	2	2	X
brj-23470	235	2	.	.	X
brj-23470	235	3	changes	change	NOUN
brj-23470	235	4	of	of	ADP
brj-23470	235	5	eutrophication	eutrophication	NOUN
brj-23470	235	6	-	-	PUNCT
brj-23470	235	7	related	relate	VERB
brj-23470	235	8	index	index	NOUN
brj-23470	235	9	in	in	ADP
brj-23470	235	10	different	different	ADJ
brj-23470	235	11	months	month	NOUN
brj-23470	235	12	neural	neural	ADJ
brj-23470	235	13	network	network	NOUN
brj-23470	235	14	analysis	analysis	NOUN
brj-23470	235	15	at	at	ADP
brj-23470	235	16	the	the	DET
brj-23470	235	17	same	same	ADJ
brj-23470	235	18	time	time	NOUN
brj-23470	235	19	,	,	PUNCT
brj-23470	235	20	if	if	SCONJ
brj-23470	235	21	some	some	DET
brj-23470	235	22	models	model	NOUN
brj-23470	235	23	can	can	AUX
brj-23470	235	24	be	be	AUX
brj-23470	235	25	used	use	VERB
brj-23470	235	26	to	to	PART
brj-23470	235	27	predict	predict	VERB
brj-23470	235	28	and	and	CCONJ
brj-23470	235	29	analyze	analyze	VERB
brj-23470	235	30	water	water	NOUN
brj-23470	235	31	quality	quality	NOUN
brj-23470	235	32	,	,	PUNCT
brj-23470	235	33	it	it	PRON
brj-23470	235	34	will	will	AUX
brj-23470	235	35	solve	solve	VERB
brj-23470	235	36	the	the	DET
brj-23470	235	37	problem	problem	NOUN
brj-23470	235	38	of	of	ADP
brj-23470	235	39	delayed	delay	VERB
brj-23470	235	40	response	response	NOUN
brj-23470	235	41	to	to	ADP
brj-23470	235	42	water	water	NOUN
brj-23470	235	43	quality	quality	NOUN
brj-23470	235	44	changes	change	NOUN
brj-23470	235	45	in	in	ADP
brj-23470	235	46	current	current	ADJ
brj-23470	235	47	water	water	NOUN
brj-23470	235	48	quality	quality	NOUN
brj-23470	235	49	monitoring	monitoring	NOUN
brj-23470	235	50	.	.	PUNCT
brj-23470	236	1	for	for	ADP
brj-23470	236	2	instance	instance	NOUN
brj-23470	236	3	,	,	PUNCT
brj-23470	236	4	zhao	zhao	PROPN
brj-23470	236	5	et	et	PROPN
brj-23470	236	6	al	al	PROPN
brj-23470	236	7	.	.	PROPN
brj-23470	237	1	(	(	PUNCT
brj-23470	237	2	2007	2007	NUM
brj-23470	237	3	)	)	PUNCT
brj-23470	237	4	conducted	conduct	VERB
brj-23470	237	5	a	a	DET
brj-23470	237	6	study	study	NOUN
brj-23470	237	7	on	on	ADP
brj-23470	237	8	water	water	NOUN
brj-23470	237	9	quality	quality	NOUN
brj-23470	237	10	dynamic	dynamic	ADJ
brj-23470	237	11	prediction	prediction	NOUN
brj-23470	237	12	using	use	VERB
brj-23470	237	13	bp	bp	PROPN
brj-23470	237	14	neural	neural	ADJ
brj-23470	237	15	network	network	NOUN
brj-23470	237	16	technology	technology	NOUN
brj-23470	237	17	and	and	CCONJ
brj-23470	237	18	analyzed	analyze	VERB
brj-23470	237	19	the	the	DET
brj-23470	237	20	predictive	predictive	ADJ
brj-23470	237	21	performance	performance	NOUN
brj-23470	237	22	of	of	ADP
brj-23470	237	23	the	the	DET
brj-23470	237	24	model	model	NOUN
brj-23470	237	25	with	with	ADP
brj-23470	237	26	the	the	DET
brj-23470	237	27	example	example	NOUN
brj-23470	237	28	of	of	ADP
brj-23470	237	29	yuqiao	yuqiao	PROPN
brj-23470	237	30	reservoir	reservoir	PROPN
brj-23470	237	31	in	in	ADP
brj-23470	237	32	tianjin	tianjin	PROPN
brj-23470	237	33	city	city	PROPN
brj-23470	237	34	.	.	PUNCT
brj-23470	238	1	ye	ye	PRON
brj-23470	238	2	et	et	PROPN
brj-23470	238	3	al	al	PROPN
brj-23470	238	4	.	.	PROPN
brj-23470	239	1	(	(	PUNCT
brj-23470	239	2	2019	2019	NUM
brj-23470	239	3	)	)	PUNCT
brj-23470	239	4	proposed	propose	VERB
brj-23470	239	5	a	a	DET
brj-23470	239	6	lstm	lstm	NOUN
brj-23470	239	7	-	-	PUNCT
brj-23470	239	8	rnn	rnn	NOUN
brj-23470	239	9	(	(	PUNCT
brj-23470	239	10	long	long	ADJ
brj-23470	239	11	short	short	ADJ
brj-23470	239	12	term	term	NOUN
brj-23470	239	13	memory	memory	NOUN
brj-23470	239	14	-recurrent	-recurrent	PROPN
brj-23470	239	15	neural	neural	ADJ
brj-23470	239	16	network	network	NOUN
brj-23470	239	17	)	)	PUNCT
brj-23470	239	18	network	network	NOUN
brj-23470	239	19	water	water	NOUN
brj-23470	239	20	quality	quality	NOUN
brj-23470	239	21	parameter	parameter	NOUN
brj-23470	239	22	prediction	prediction	NOUN
brj-23470	239	23	model	model	NOUN
brj-23470	239	24	based	base	VERB
brj-23470	239	25	on	on	ADP
brj-23470	239	26	an	an	DET
brj-23470	239	27	improved	improved	ADJ
brj-23470	239	28	rnn	rnn	NOUN
brj-23470	239	29	(	(	PUNCT
brj-23470	239	30	recurrent	recurrent	ADJ
brj-23470	239	31	neural	neural	ADJ
brj-23470	239	32	network	network	NOUN
brj-23470	239	33	)	)	PUNCT
brj-23470	239	34	network	network	NOUN
brj-23470	239	35	structure	structure	NOUN
brj-23470	239	36	to	to	PART
brj-23470	239	37	predict	predict	VERB
brj-23470	239	38	the	the	DET
brj-23470	239	39	trend	trend	NOUN
brj-23470	239	40	of	of	ADP
brj-23470	239	41	water	water	NOUN
brj-23470	239	42	quality	quality	NOUN
brj-23470	239	43	change	change	NOUN
brj-23470	239	44	.	.	PUNCT
brj-23470	240	1	ma	ma	PROPN
brj-23470	240	2	et	et	PROPN
brj-23470	240	3	al	al	PROPN
brj-23470	240	4	.	.	PROPN
brj-23470	241	1	(	(	PUNCT
brj-23470	241	2	2021	2021	NUM
brj-23470	241	3	)	)	PUNCT
brj-23470	241	4	applied	apply	VERB
brj-23470	241	5	the	the	DET
brj-23470	241	6	neural	neural	ADJ
brj-23470	241	7	network	network	NOUN
brj-23470	241	8	model	model	NOUN
brj-23470	241	9	to	to	PART
brj-23470	241	10	predict	predict	VERB
brj-23470	241	11	the	the	DET
brj-23470	241	12	water	water	NOUN
brj-23470	241	13	quality	quality	NOUN
brj-23470	241	14	status	status	NOUN
brj-23470	241	15	and	and	CCONJ
brj-23470	241	16	trend	trend	NOUN
brj-23470	241	17	of	of	ADP
brj-23470	241	18	nansi	nansi	PROPN
brj-23470	241	19	lake	lake	NOUN
brj-23470	241	20	.	.	PUNCT
brj-23470	242	1	their	their	PRON
brj-23470	242	2	use	use	NOUN
brj-23470	242	3	of	of	ADP
brj-23470	242	4	neural	neural	ADJ
brj-23470	242	5	networks	network	NOUN
brj-23470	242	6	for	for	ADP
brj-23470	242	7	water	water	NOUN
brj-23470	242	8	quality	quality	NOUN
brj-23470	242	9	prediction	prediction	NOUN
brj-23470	242	10	showed	show	VERB
brj-23470	242	11	promising	promising	ADJ
brj-23470	242	12	results	result	NOUN
brj-23470	242	13	.	.	PUNCT
brj-23470	243	1	in	in	ADP
brj-23470	243	2	this	this	DET
brj-23470	243	3	study	study	NOUN
brj-23470	243	4	,	,	PUNCT
brj-23470	243	5	to	to	PART
brj-23470	243	6	establish	establish	VERB
brj-23470	243	7	the	the	DET
brj-23470	243	8	relationship	relationship	NOUN
brj-23470	243	9	between	between	ADP
brj-23470	243	10	the	the	DET
brj-23470	243	11	orp	orp	PROPN
brj-23470	243	12	and	and	CCONJ
brj-23470	243	13	eutrophicationrelated	eutrophicationrelate	VERB
brj-23470	243	14	index	index	NOUN
brj-23470	243	15	,	,	PUNCT
brj-23470	243	16	the	the	DET
brj-23470	243	17	bp	bp	PROPN
brj-23470	243	18	neural	neural	PROPN
brj-23470	243	19	network	network	NOUN
brj-23470	243	20	analysis	analysis	NOUN
brj-23470	243	21	was	be	AUX
brj-23470	243	22	used	use	VERB
brj-23470	243	23	to	to	PART
brj-23470	243	24	predict	predict	VERB
brj-23470	243	25	the	the	DET
brj-23470	243	26	eutrophication	eutrophication	NOUN
brj-23470	243	27	index	index	NOUN
brj-23470	243	28	peer	peer	NOUN
brj-23470	243	29	-	-	PUNCT
brj-23470	243	30	reviewed	review	VERB
brj-23470	243	31	article	article	NOUN
brj-23470	243	32	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	243	33	zhang	zhang	PROPN
brj-23470	243	34	et	et	PROPN
brj-23470	243	35	al	al	PROPN
brj-23470	243	36	.	.	PROPN
brj-23470	244	1	(	(	PUNCT
brj-23470	244	2	2024	2024	NUM
brj-23470	244	3	)	)	PUNCT
brj-23470	244	4	.	.	PUNCT
brj-23470	245	1	“	"	PUNCT
brj-23470	245	2	activated	activate	VERB
brj-23470	245	3	carbon	carbon	NOUN
brj-23470	245	4	from	from	ADP
brj-23470	245	5	sludge	sludge	NOUN
brj-23470	245	6	,	,	PUNCT
brj-23470	245	7	”	"	PUNCT
brj-23470	245	8	bioresources	bioresource	NOUN
brj-23470	245	9	19(3	19(3	NUM
brj-23470	245	10	)	)	PUNCT
brj-23470	245	11	,	,	PUNCT
brj-23470	245	12	4941	4941	NUM
brj-23470	245	13	-	-	SYM
brj-23470	245	14	4959	4959	NUM
brj-23470	245	15	.	.	PUNCT
brj-23470	246	1	4951	4951	NUM
brj-23470	246	2	at	at	ADP
brj-23470	246	3	different	different	ADJ
brj-23470	246	4	orp	orp	PROPN
brj-23470	246	5	levels	level	NOUN
brj-23470	246	6	.	.	PUNCT
brj-23470	247	1	after	after	ADP
brj-23470	247	2	multiple	multiple	ADJ
brj-23470	247	3	predictions	prediction	NOUN
brj-23470	247	4	,	,	PUNCT
brj-23470	247	5	there	there	PRON
brj-23470	247	6	was	be	VERB
brj-23470	247	7	a	a	DET
brj-23470	247	8	certain	certain	ADJ
brj-23470	247	9	level	level	NOUN
brj-23470	247	10	of	of	ADP
brj-23470	247	11	error	error	NOUN
brj-23470	247	12	between	between	ADP
brj-23470	247	13	the	the	DET
brj-23470	247	14	predicted	predict	VERB
brj-23470	247	15	eutrophication	eutrophication	NOUN
brj-23470	247	16	index	index	NOUN
brj-23470	247	17	and	and	CCONJ
brj-23470	247	18	the	the	DET
brj-23470	247	19	actual	actual	ADJ
brj-23470	247	20	eutrophication	eutrophication	NOUN
brj-23470	247	21	index	index	NOUN
brj-23470	247	22	and	and	CCONJ
brj-23470	247	23	the	the	DET
brj-23470	247	24	error	error	NOUN
brj-23470	247	25	reached	reach	VERB
brj-23470	247	26	15	15	NUM
brj-23470	247	27	%	%	NOUN
brj-23470	247	28	(	(	PUNCT
brj-23470	247	29	table	table	NOUN
brj-23470	247	30	3	3	NUM
brj-23470	247	31	)	)	PUNCT
brj-23470	247	32	.	.	PUNCT
brj-23470	248	1	therefore	therefore	ADV
brj-23470	248	2	,	,	PUNCT
brj-23470	248	3	although	although	SCONJ
brj-23470	248	4	neural	neural	ADJ
brj-23470	248	5	network	network	NOUN
brj-23470	248	6	analysis	analysis	NOUN
brj-23470	248	7	could	could	AUX
brj-23470	248	8	be	be	AUX
brj-23470	248	9	performed	perform	VERB
brj-23470	248	10	,	,	PUNCT
brj-23470	248	11	simulation	simulation	NOUN
brj-23470	248	12	analyzes	analyze	VERB
brj-23470	248	13	in	in	ADP
brj-23470	248	14	other	other	ADJ
brj-23470	248	15	forms	form	NOUN
brj-23470	248	16	should	should	AUX
brj-23470	248	17	be	be	AUX
brj-23470	248	18	performed	perform	VERB
brj-23470	248	19	to	to	PART
brj-23470	248	20	ensure	ensure	VERB
brj-23470	248	21	reliability	reliability	NOUN
brj-23470	248	22	.	.	PUNCT
brj-23470	249	1	table	table	NOUN
brj-23470	249	2	3	3	NUM
brj-23470	249	3	.	.	PUNCT
brj-23470	249	4	neural	neural	ADJ
brj-23470	249	5	network	network	NOUN
brj-23470	249	6	prediction	prediction	NOUN
brj-23470	249	7	analysis	analysis	NOUN
brj-23470	249	8	(	(	PUNCT
brj-23470	249	9	partial	partial	ADJ
brj-23470	249	10	data	datum	NOUN
brj-23470	249	11	)	)	PUNCT
brj-23470	249	12	orp	orp	PROPN
brj-23470	249	13	actual	actual	ADJ
brj-23470	249	14	index	index	NOUN
brj-23470	249	15	prediction	prediction	NOUN
brj-23470	249	16	index	index	NOUN
brj-23470	249	17	error	error	NOUN
brj-23470	249	18	(	(	PUNCT
brj-23470	249	19	%	%	NOUN
brj-23470	249	20	)	)	PUNCT
brj-23470	249	21	280.88	280.88	NUM
brj-23470	249	22	0.57	0.57	NUM
brj-23470	249	23	0.58	0.58	NUM
brj-23470	249	24	1.72	1.72	NUM
brj-23470	249	25	%	%	NOUN
brj-23470	249	26	274.1	274.1	NUM
brj-23470	249	27	0.53	0.53	NUM
brj-23470	249	28	0.61	0.61	NUM
brj-23470	249	29	13.11	13.11	NUM
brj-23470	249	30	%	%	NOUN
brj-23470	249	31	275.65	275.65	NUM
brj-23470	249	32	0.52	0.52	NUM
brj-23470	249	33	0.61	0.61	NUM
brj-23470	249	34	14.75	14.75	NUM
brj-23470	249	35	%	%	NOUN
brj-23470	250	1	274.13	274.13	NUM
brj-23470	250	2	0.53	0.53	NUM
brj-23470	250	3	0.59	0.59	NUM
brj-23470	250	4	10.17	10.17	NUM
brj-23470	250	5	%	%	NOUN
brj-23470	250	6	275.74	275.74	NUM
brj-23470	250	7	0.52	0.52	NUM
brj-23470	250	8	0.58	0.58	NUM
brj-23470	250	9	10.34	10.34	NUM
brj-23470	250	10	%	%	NOUN
brj-23470	250	11	274.15	274.15	NUM
brj-23470	250	12	0.53	0.53	NUM
brj-23470	250	13	0.6	0.6	NUM
brj-23470	250	14	11.67	11.67	NUM
brj-23470	250	15	%	%	NOUN
brj-23470	250	16	277.32	277.32	NUM
brj-23470	250	17	0.51	0.51	NUM
brj-23470	250	18	0.6	0.6	NUM
brj-23470	250	19	15	15	NUM
brj-23470	250	20	%	%	NOUN
brj-23470	250	21	242.98	242.98	NUM
brj-23470	250	22	2.38	2.38	NUM
brj-23470	250	23	2.55	2.55	NUM
brj-23470	250	24	6.67	6.67	NUM
brj-23470	250	25	%	%	NOUN
brj-23470	250	26	the	the	DET
brj-23470	250	27	polynomial	polynomial	ADJ
brj-23470	250	28	fitting	fitting	ADJ
brj-23470	250	29	analysis	analysis	NOUN
brj-23470	250	30	the	the	DET
brj-23470	250	31	polynomial	polynomial	ADJ
brj-23470	250	32	fitting	fitting	ADJ
brj-23470	250	33	method	method	NOUN
brj-23470	250	34	can	can	AUX
brj-23470	250	35	be	be	AUX
brj-23470	250	36	used	use	VERB
brj-23470	250	37	to	to	PART
brj-23470	250	38	establish	establish	VERB
brj-23470	250	39	a	a	DET
brj-23470	250	40	closed	closed	ADJ
brj-23470	250	41	functional	functional	ADJ
brj-23470	250	42	expression	expression	NOUN
brj-23470	250	43	that	that	PRON
brj-23470	250	44	captures	capture	VERB
brj-23470	250	45	the	the	DET
brj-23470	250	46	general	general	ADJ
brj-23470	250	47	trend	trend	NOUN
brj-23470	250	48	and	and	CCONJ
brj-23470	250	49	characteristics	characteristic	NOUN
brj-23470	250	50	of	of	ADP
brj-23470	250	51	the	the	DET
brj-23470	250	52	sample	sample	NOUN
brj-23470	250	53	data	datum	NOUN
brj-23470	250	54	through	through	ADP
brj-23470	250	55	curve	curve	NOUN
brj-23470	250	56	fitting	fitting	ADJ
brj-23470	250	57	.	.	PUNCT
brj-23470	251	1	it	it	PRON
brj-23470	251	2	is	be	AUX
brj-23470	251	3	a	a	DET
brj-23470	251	4	type	type	NOUN
brj-23470	251	5	of	of	ADP
brj-23470	251	6	curve	curve	NOUN
brj-23470	251	7	fitting	fitting	ADJ
brj-23470	251	8	method	method	NOUN
brj-23470	251	9	commonly	commonly	ADV
brj-23470	251	10	used	use	VERB
brj-23470	251	11	in	in	ADP
brj-23470	251	12	regression	regression	NOUN
brj-23470	251	13	analysis	analysis	NOUN
brj-23470	251	14	.	.	PUNCT
brj-23470	252	1	this	this	DET
brj-23470	252	2	fitting	fitting	ADJ
brj-23470	252	3	method	method	NOUN
brj-23470	252	4	can	can	AUX
brj-23470	252	5	better	well	ADV
brj-23470	252	6	correspond	correspond	VERB
brj-23470	252	7	the	the	DET
brj-23470	252	8	data	datum	NOUN
brj-23470	252	9	to	to	ADP
brj-23470	252	10	the	the	DET
brj-23470	252	11	quadratic	quadratic	ADJ
brj-23470	252	12	polynomial	polynomial	ADJ
brj-23470	252	13	form	form	NOUN
brj-23470	252	14	,	,	PUNCT
brj-23470	252	15	thus	thus	ADV
brj-23470	252	16	improving	improve	VERB
brj-23470	252	17	the	the	DET
brj-23470	252	18	prediction	prediction	NOUN
brj-23470	252	19	and	and	CCONJ
brj-23470	252	20	analysis	analysis	NOUN
brj-23470	252	21	of	of	ADP
brj-23470	252	22	the	the	DET
brj-23470	252	23	data	datum	NOUN
brj-23470	252	24	.	.	PUNCT
brj-23470	253	1	it	it	PRON
brj-23470	253	2	is	be	AUX
brj-23470	253	3	important	important	ADJ
brj-23470	253	4	to	to	PART
brj-23470	253	5	note	note	VERB
brj-23470	253	6	that	that	SCONJ
brj-23470	253	7	fitting	fit	VERB
brj-23470	253	8	a	a	DET
brj-23470	253	9	quadratic	quadratic	ADJ
brj-23470	253	10	polynomial	polynomial	NOUN
brj-23470	253	11	may	may	AUX
brj-23470	253	12	lead	lead	VERB
brj-23470	253	13	to	to	ADP
brj-23470	253	14	underfitting	underfitte	VERB
brj-23470	253	15	.	.	PUNCT
brj-23470	254	1	therefore	therefore	ADV
brj-23470	254	2	,	,	PUNCT
brj-23470	254	3	before	before	ADP
brj-23470	254	4	applying	apply	VERB
brj-23470	254	5	the	the	DET
brj-23470	254	6	quadratic	quadratic	ADJ
brj-23470	254	7	polynomial	polynomial	ADJ
brj-23470	254	8	fitting	fitting	NOUN
brj-23470	254	9	,	,	PUNCT
brj-23470	254	10	it	it	PRON
brj-23470	254	11	is	be	AUX
brj-23470	254	12	necessary	necessary	ADJ
brj-23470	254	13	to	to	PART
brj-23470	254	14	perform	perform	VERB
brj-23470	254	15	an	an	DET
brj-23470	254	16	appropriate	appropriate	ADJ
brj-23470	254	17	analysis	analysis	NOUN
brj-23470	254	18	on	on	ADP
brj-23470	254	19	the	the	DET
brj-23470	254	20	data	datum	NOUN
brj-23470	254	21	to	to	PART
brj-23470	254	22	ensure	ensure	VERB
brj-23470	254	23	that	that	SCONJ
brj-23470	254	24	the	the	DET
brj-23470	254	25	established	establish	VERB
brj-23470	254	26	quadratic	quadratic	ADJ
brj-23470	254	27	polynomial	polynomial	ADJ
brj-23470	254	28	function	function	NOUN
brj-23470	254	29	accurately	accurately	ADV
brj-23470	254	30	reflects	reflect	VERB
brj-23470	254	31	the	the	DET
brj-23470	254	32	characteristics	characteristic	NOUN
brj-23470	254	33	and	and	CCONJ
brj-23470	254	34	trends	trend	NOUN
brj-23470	254	35	of	of	ADP
brj-23470	254	36	the	the	DET
brj-23470	254	37	data	datum	NOUN
brj-23470	254	38	.	.	PUNCT
brj-23470	255	1	to	to	PART
brj-23470	255	2	better	well	ADV
brj-23470	255	3	identify	identify	VERB
brj-23470	255	4	the	the	DET
brj-23470	255	5	exact	exact	ADJ
brj-23470	255	6	relationship	relationship	NOUN
brj-23470	255	7	between	between	ADP
brj-23470	255	8	variables	variable	NOUN
brj-23470	255	9	,	,	PUNCT
brj-23470	255	10	the	the	DET
brj-23470	255	11	distribution	distribution	NOUN
brj-23470	255	12	of	of	ADP
brj-23470	255	13	the	the	DET
brj-23470	255	14	sample	sample	NOUN
brj-23470	255	15	data	datum	NOUN
brj-23470	255	16	in	in	ADP
brj-23470	255	17	the	the	DET
brj-23470	255	18	graph	graph	NOUN
brj-23470	255	19	should	should	AUX
brj-23470	255	20	be	be	AUX
brj-23470	255	21	observed	observe	VERB
brj-23470	255	22	and	and	CCONJ
brj-23470	255	23	then	then	ADV
brj-23470	255	24	the	the	DET
brj-23470	255	25	model	model	NOUN
brj-23470	255	26	that	that	PRON
brj-23470	255	27	matches	match	VERB
brj-23470	255	28	the	the	DET
brj-23470	255	29	function	function	NOUN
brj-23470	255	30	characteristics	characteristic	NOUN
brj-23470	255	31	and	and	CCONJ
brj-23470	255	32	the	the	DET
brj-23470	255	33	point	point	NOUN
brj-23470	255	34	distribution	distribution	NOUN
brj-23470	255	35	could	could	AUX
brj-23470	255	36	be	be	AUX
brj-23470	255	37	determined	determine	VERB
brj-23470	255	38	(	(	PUNCT
brj-23470	255	39	chen	chen	PROPN
brj-23470	255	40	et	et	PROPN
brj-23470	255	41	al	al	PROPN
brj-23470	255	42	.	.	PROPN
brj-23470	255	43	2022	2022	NUM
brj-23470	255	44	)	)	PUNCT
brj-23470	255	45	.	.	PUNCT
brj-23470	256	1	by	by	ADP
brj-23470	256	2	analyzing	analyze	VERB
brj-23470	256	3	the	the	DET
brj-23470	256	4	data	datum	NOUN
brj-23470	256	5	on	on	ADP
brj-23470	256	6	orp	orp	PROPN
brj-23470	256	7	and	and	CCONJ
brj-23470	256	8	the	the	DET
brj-23470	256	9	eutrophication	eutrophication	NOUN
brj-23470	256	10	-	-	PUNCT
brj-23470	256	11	related	relate	VERB
brj-23470	256	12	index	index	NOUN
brj-23470	256	13	,	,	PUNCT
brj-23470	256	14	it	it	PRON
brj-23470	256	15	was	be	AUX
brj-23470	256	16	observed	observe	VERB
brj-23470	256	17	that	that	SCONJ
brj-23470	256	18	a	a	DET
brj-23470	256	19	stage	stage	NOUN
brj-23470	256	20	-	-	PUNCT
brj-23470	256	21	wise	wise	ADJ
brj-23470	256	22	curvilinear	curvilinear	NOUN
brj-23470	256	23	relationship	relationship	NOUN
brj-23470	256	24	existed	exist	VERB
brj-23470	256	25	between	between	ADP
brj-23470	256	26	orp	orp	PROPN
brj-23470	256	27	and	and	CCONJ
brj-23470	256	28	the	the	DET
brj-23470	256	29	eutrophication	eutrophication	NOUN
brj-23470	256	30	index	index	NOUN
brj-23470	256	31	(	(	PUNCT
brj-23470	256	32	fig	fig	NOUN
brj-23470	256	33	.	.	PUNCT
brj-23470	257	1	3	3	NUM
brj-23470	257	2	)	)	PUNCT
brj-23470	257	3	.	.	PUNCT
brj-23470	258	1	moreover	moreover	ADV
brj-23470	258	2	,	,	PUNCT
brj-23470	258	3	this	this	DET
brj-23470	258	4	relationship	relationship	NOUN
brj-23470	258	5	could	could	AUX
brj-23470	258	6	be	be	AUX
brj-23470	258	7	divided	divide	VERB
brj-23470	258	8	into	into	ADP
brj-23470	258	9	three	three	NUM
brj-23470	258	10	segments	segment	NOUN
brj-23470	258	11	,	,	PUNCT
brj-23470	258	12	as	as	SCONJ
brj-23470	258	13	shown	show	VERB
brj-23470	258	14	in	in	ADP
brj-23470	258	15	fig	fig	NOUN
brj-23470	258	16	.	.	PUNCT
brj-23470	259	1	4	4	X
brj-23470	259	2	.	.	X
brj-23470	259	3	fig	fig	NOUN
brj-23470	259	4	.	.	PUNCT
brj-23470	260	1	3	3	X
brj-23470	260	2	.	.	X
brj-23470	260	3	scatter	scatter	NOUN
brj-23470	260	4	plot	plot	NOUN
brj-23470	260	5	of	of	ADP
brj-23470	260	6	overall	overall	ADJ
brj-23470	260	7	distribution	distribution	NOUN
brj-23470	260	8	between	between	ADP
brj-23470	260	9	orp	orp	PROPN
brj-23470	260	10	and	and	CCONJ
brj-23470	260	11	eutrophication	eutrophication	NOUN
brj-23470	260	12	-	-	PUNCT
brj-23470	260	13	related	relate	VERB
brj-23470	260	14	index	index	NOUN
brj-23470	260	15	(	(	PUNCT
brj-23470	260	16	shihe	shihe	ADJ
brj-23470	260	17	reservoir	reservoir	PROPN
brj-23470	260	18	)	)	PUNCT
brj-23470	260	19	peer	peer	NOUN
brj-23470	260	20	-	-	PUNCT
brj-23470	260	21	reviewed	review	VERB
brj-23470	260	22	article	article	NOUN
brj-23470	260	23	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	260	24	zhang	zhang	PROPN
brj-23470	260	25	et	et	PROPN
brj-23470	260	26	al	al	PROPN
brj-23470	260	27	.	.	PROPN
brj-23470	261	1	(	(	PUNCT
brj-23470	261	2	2024	2024	NUM
brj-23470	261	3	)	)	PUNCT
brj-23470	261	4	.	.	PUNCT
brj-23470	262	1	“	"	PUNCT
brj-23470	262	2	activated	activate	VERB
brj-23470	262	3	carbon	carbon	NOUN
brj-23470	262	4	from	from	ADP
brj-23470	262	5	sludge	sludge	NOUN
brj-23470	262	6	,	,	PUNCT
brj-23470	262	7	”	"	PUNCT
brj-23470	262	8	bioresources	bioresource	NOUN
brj-23470	262	9	19(3	19(3	NUM
brj-23470	262	10	)	)	PUNCT
brj-23470	262	11	,	,	PUNCT
brj-23470	262	12	4941	4941	NUM
brj-23470	262	13	-	-	SYM
brj-23470	262	14	4959	4959	NUM
brj-23470	262	15	.	.	PUNCT
brj-23470	263	1	4952	4952	NUM
brj-23470	263	2	fig	fig	NOUN
brj-23470	263	3	.	.	PUNCT
brj-23470	264	1	4	4	X
brj-23470	264	2	.	.	NUM
brj-23470	264	3	fitted	fit	VERB
brj-23470	264	4	relationship	relationship	NOUN
brj-23470	264	5	between	between	ADP
brj-23470	264	6	orp	orp	PROPN
brj-23470	264	7	and	and	CCONJ
brj-23470	264	8	eutrophication	eutrophication	NOUN
brj-23470	264	9	-	-	PUNCT
brj-23470	264	10	related	relate	VERB
brj-23470	264	11	index	index	NOUN
brj-23470	264	12	of	of	ADP
brj-23470	264	13	shihe	shihe	ADJ
brj-23470	264	14	reservoir	reservoir	NOUN
brj-23470	264	15	(	(	PUNCT
brj-23470	264	16	a	a	PRON
brj-23470	264	17	:	:	PUNCT
brj-23470	264	18	first	first	ADJ
brj-23470	264	19	segment	segment	NOUN
brj-23470	264	20	fit	fit	PROPN
brj-23470	264	21	;	;	PUNCT
brj-23470	264	22	b	b	X
brj-23470	264	23	:	:	PUNCT
brj-23470	264	24	second	second	ADJ
brj-23470	264	25	segment	segment	NOUN
brj-23470	264	26	fit	fit	NOUN
brj-23470	264	27	;	;	PUNCT
brj-23470	264	28	c	c	X
brj-23470	264	29	:	:	PUNCT
brj-23470	264	30	third	third	ADJ
brj-23470	264	31	segment	segment	NOUN
brj-23470	264	32	fit	fit	PROPN
brj-23470	264	33	)	)	PUNCT
brj-23470	264	34	after	after	ADP
brj-23470	264	35	fitting	fitting	ADJ
brj-23470	264	36	,	,	PUNCT
brj-23470	264	37	the	the	DET
brj-23470	264	38	expressions	expression	NOUN
brj-23470	264	39	for	for	ADP
brj-23470	264	40	the	the	DET
brj-23470	264	41	three	three	NUM
brj-23470	264	42	segments	segment	NOUN
brj-23470	264	43	of	of	ADP
brj-23470	264	44	the	the	DET
brj-23470	264	45	relationship	relationship	NOUN
brj-23470	264	46	between	between	ADP
brj-23470	264	47	the	the	DET
brj-23470	264	48	eutrophication	eutrophication	NOUN
brj-23470	264	49	-	-	PUNCT
brj-23470	264	50	related	relate	VERB
brj-23470	264	51	index	index	NOUN
brj-23470	264	52	(	(	PUNCT
brj-23470	264	53	y	y	NOUN
brj-23470	264	54	)	)	PUNCT
brj-23470	264	55	and	and	CCONJ
brj-23470	264	56	the	the	DET
brj-23470	264	57	orp	orp	PROPN
brj-23470	264	58	(	(	PUNCT
brj-23470	264	59	x	x	NOUN
brj-23470	264	60	)	)	PUNCT
brj-23470	264	61	were	be	AUX
brj-23470	264	62	determined	determine	VERB
brj-23470	264	63	as	as	SCONJ
brj-23470	264	64	follows	follow	VERB
brj-23470	264	65	:	:	PUNCT
brj-23470	264	66	y1=	y1=	PROPN
brj-23470	264	67	0.0011×x3	0.0011×x3	NOUN
brj-23470	264	68	0.782×x2	0.782×x2	NUM
brj-23470	265	1	+	+	CCONJ
brj-23470	265	2	192.2×x	192.2×x	PROPN
brj-23470	265	3	15727;r2=0.943	15727;r2=0.943	NUM
brj-23470	265	4	(	(	PUNCT
brj-23470	265	5	230≤x≤270	230≤x≤270	NOUN
brj-23470	265	6	)	)	PUNCT
brj-23470	265	7	(	(	PUNCT
brj-23470	265	8	11	11	NUM
brj-23470	265	9	)	)	PUNCT
brj-23470	265	10	y2=	y2=	VERB
brj-23470	265	11	-0.0008×x2	-0.0008×x2	NOUN
brj-23470	266	1	+	+	NUM
brj-23470	266	2	0.4243×x	0.4243×x	NUM
brj-23470	266	3	58.84;r2	58.84;r2	NUM
brj-23470	266	4	=	=	SYM
brj-23470	266	5	0.9599	0.9599	NUM
brj-23470	266	6	;	;	PUNCT
brj-23470	266	7	(	(	PUNCT
brj-23470	266	8	270≤x≤306	270≤x≤306	NOUN
brj-23470	266	9	)	)	PUNCT
brj-23470	266	10	(	(	PUNCT
brj-23470	266	11	12	12	NUM
brj-23470	266	12	)	)	PUNCT
brj-23470	266	13	y3=-0.0781×x2	y3=-0.0781×x2	NOUN
brj-23470	267	1	+	+	CCONJ
brj-23470	267	2	48.448×x	48.448×x	NOUN
brj-23470	267	3	7507.4	7507.4	NUM
brj-23470	267	4	;	;	PUNCT
brj-23470	267	5	r2=0.949(306≤x≤314	r2=0.949(306≤x≤314	NOUN
brj-23470	267	6	)	)	PUNCT
brj-23470	267	7	(	(	PUNCT
brj-23470	267	8	13	13	NUM
brj-23470	267	9	)	)	PUNCT
brj-23470	267	10	peer	peer	NOUN
brj-23470	267	11	-	-	PUNCT
brj-23470	267	12	reviewed	review	VERB
brj-23470	267	13	article	article	NOUN
brj-23470	267	14	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	267	15	zhang	zhang	PROPN
brj-23470	267	16	et	et	PROPN
brj-23470	267	17	al	al	PROPN
brj-23470	267	18	.	.	PROPN
brj-23470	268	1	(	(	PUNCT
brj-23470	268	2	2024	2024	NUM
brj-23470	268	3	)	)	PUNCT
brj-23470	268	4	.	.	PUNCT
brj-23470	269	1	“	"	PUNCT
brj-23470	269	2	activated	activate	VERB
brj-23470	269	3	carbon	carbon	NOUN
brj-23470	269	4	from	from	ADP
brj-23470	269	5	sludge	sludge	NOUN
brj-23470	269	6	,	,	PUNCT
brj-23470	269	7	”	"	PUNCT
brj-23470	269	8	bioresources	bioresource	NOUN
brj-23470	269	9	19(3	19(3	NUM
brj-23470	269	10	)	)	PUNCT
brj-23470	269	11	,	,	PUNCT
brj-23470	269	12	4941	4941	NUM
brj-23470	269	13	-	-	SYM
brj-23470	269	14	4959	4959	NUM
brj-23470	269	15	.	.	PUNCT
brj-23470	270	1	4953	4953	NUM
brj-23470	270	2	fig	fig	NOUN
brj-23470	270	3	.	.	PUNCT
brj-23470	271	1	5	5	X
brj-23470	271	2	.	.	X
brj-23470	271	3	scatter	scatter	NOUN
brj-23470	271	4	plot	plot	NOUN
brj-23470	271	5	of	of	ADP
brj-23470	271	6	overall	overall	ADJ
brj-23470	271	7	distribution	distribution	NOUN
brj-23470	271	8	between	between	ADP
brj-23470	271	9	orp	orp	PROPN
brj-23470	271	10	and	and	CCONJ
brj-23470	271	11	eutrophication	eutrophication	NOUN
brj-23470	271	12	-	-	PUNCT
brj-23470	271	13	related	relate	VERB
brj-23470	271	14	index	index	NOUN
brj-23470	271	15	(	(	PUNCT
brj-23470	271	16	yanghe	yanghe	PROPN
brj-23470	271	17	reservoir	reservoir	PROPN
brj-23470	271	18	)	)	PUNCT
brj-23470	271	19	peer	peer	NOUN
brj-23470	271	20	-	-	PUNCT
brj-23470	271	21	reviewed	review	VERB
brj-23470	271	22	article	article	NOUN
brj-23470	271	23	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	271	24	zhang	zhang	PROPN
brj-23470	271	25	et	et	PROPN
brj-23470	271	26	al	al	PROPN
brj-23470	271	27	.	.	PROPN
brj-23470	272	1	(	(	PUNCT
brj-23470	272	2	2024	2024	NUM
brj-23470	272	3	)	)	PUNCT
brj-23470	272	4	.	.	PUNCT
brj-23470	273	1	“	"	PUNCT
brj-23470	273	2	activated	activate	VERB
brj-23470	273	3	carbon	carbon	NOUN
brj-23470	273	4	from	from	ADP
brj-23470	273	5	sludge	sludge	NOUN
brj-23470	273	6	,	,	PUNCT
brj-23470	273	7	”	"	PUNCT
brj-23470	273	8	bioresources	bioresource	NOUN
brj-23470	273	9	19(3	19(3	NUM
brj-23470	273	10	)	)	PUNCT
brj-23470	273	11	,	,	PUNCT
brj-23470	273	12	4941	4941	NUM
brj-23470	273	13	-	-	SYM
brj-23470	273	14	4959	4959	NUM
brj-23470	273	15	.	.	PUNCT
brj-23470	274	1	4954	4954	NUM
brj-23470	274	2	fig	fig	NOUN
brj-23470	274	3	.	.	PUNCT
brj-23470	275	1	6	6	NUM
brj-23470	275	2	.	.	NUM
brj-23470	275	3	fitted	fit	VERB
brj-23470	275	4	relationship	relationship	NOUN
brj-23470	275	5	between	between	ADP
brj-23470	275	6	orp	orp	PROPN
brj-23470	275	7	and	and	CCONJ
brj-23470	275	8	eutrophication	eutrophication	NOUN
brj-23470	275	9	-	-	PUNCT
brj-23470	275	10	related	relate	VERB
brj-23470	275	11	index	index	NOUN
brj-23470	275	12	of	of	ADP
brj-23470	275	13	yanghe	yanghe	PROPN
brj-23470	275	14	reservoir	reservoir	NOUN
brj-23470	275	15	(	(	PUNCT
brj-23470	275	16	a	a	PRON
brj-23470	275	17	:	:	PUNCT
brj-23470	275	18	first	first	ADJ
brj-23470	275	19	segment	segment	NOUN
brj-23470	275	20	fit	fit	PROPN
brj-23470	275	21	;	;	PUNCT
brj-23470	275	22	b	b	X
brj-23470	275	23	:	:	PUNCT
brj-23470	275	24	second	second	ADJ
brj-23470	275	25	segment	segment	NOUN
brj-23470	275	26	fit	fit	NOUN
brj-23470	275	27	;	;	PUNCT
brj-23470	275	28	c	c	X
brj-23470	275	29	:	:	PUNCT
brj-23470	275	30	third	third	ADJ
brj-23470	275	31	segment	segment	NOUN
brj-23470	275	32	fit	fit	PROPN
brj-23470	275	33	)	)	PUNCT
brj-23470	275	34	as	as	SCONJ
brj-23470	275	35	shown	show	VERB
brj-23470	275	36	by	by	ADP
brj-23470	275	37	the	the	DET
brj-23470	275	38	fitted	fit	VERB
brj-23470	275	39	curve	curve	NOUN
brj-23470	275	40	,	,	PUNCT
brj-23470	275	41	the	the	DET
brj-23470	275	42	relationship	relationship	NOUN
brj-23470	275	43	between	between	ADP
brj-23470	275	44	orp	orp	PROPN
brj-23470	275	45	and	and	CCONJ
brj-23470	275	46	eutrophication	eutrophication	NOUN
brj-23470	275	47	index	index	NOUN
brj-23470	275	48	(	(	PUNCT
brj-23470	275	49	y	y	NOUN
brj-23470	275	50	)	)	PUNCT
brj-23470	275	51	exhibited	exhibit	VERB
brj-23470	275	52	three	three	NUM
brj-23470	275	53	distinct	distinct	ADJ
brj-23470	275	54	segments	segment	NOUN
brj-23470	275	55	as	as	SCONJ
brj-23470	275	56	follows	follow	VERB
brj-23470	275	57	:	:	PUNCT
brj-23470	275	58	(	(	PUNCT
brj-23470	275	59	1	1	X
brj-23470	275	60	)	)	PUNCT
brj-23470	275	61	within	within	ADP
brj-23470	275	62	the	the	DET
brj-23470	275	63	range	range	NOUN
brj-23470	275	64	of	of	ADP
brj-23470	275	65	235	235	NUM
brj-23470	275	66	to	to	PART
brj-23470	275	67	260	260	NUM
brj-23470	275	68	mv	mv	PROPN
brj-23470	275	69	,	,	PUNCT
brj-23470	275	70	the	the	DET
brj-23470	275	71	eutrophication	eutrophication	NOUN
brj-23470	275	72	index	index	NOUN
brj-23470	275	73	decreased	decrease	VERB
brj-23470	275	74	after	after	ADP
brj-23470	275	75	equilibrium	equilibrium	NOUN
brj-23470	275	76	;	;	PUNCT
brj-23470	275	77	(	(	PUNCT
brj-23470	275	78	2	2	X
brj-23470	275	79	)	)	PUNCT
brj-23470	275	80	in	in	ADP
brj-23470	275	81	the	the	DET
brj-23470	275	82	range	range	NOUN
brj-23470	275	83	of	of	ADP
brj-23470	275	84	260	260	NUM
brj-23470	275	85	to	to	PART
brj-23470	275	86	308	308	NUM
brj-23470	275	87	mv	mv	NOUN
brj-23470	275	88	,	,	PUNCT
brj-23470	275	89	the	the	DET
brj-23470	275	90	eutrophication	eutrophication	NOUN
brj-23470	275	91	index	index	NOUN
brj-23470	275	92	gradually	gradually	ADV
brj-23470	275	93	decreased	decrease	VERB
brj-23470	275	94	with	with	ADP
brj-23470	275	95	increasing	increase	VERB
brj-23470	275	96	orp	orp	PROPN
brj-23470	275	97	;	;	PUNCT
brj-23470	275	98	and	and	CCONJ
brj-23470	275	99	(	(	PUNCT
brj-23470	275	100	3	3	X
brj-23470	275	101	)	)	PUNCT
brj-23470	275	102	within	within	ADP
brj-23470	275	103	the	the	DET
brj-23470	275	104	range	range	NOUN
brj-23470	275	105	of	of	ADP
brj-23470	275	106	308	308	NUM
brj-23470	275	107	to	to	PART
brj-23470	275	108	314	314	NUM
brj-23470	275	109	mv	mv	NOUN
brj-23470	275	110	,	,	PUNCT
brj-23470	275	111	the	the	DET
brj-23470	275	112	eutrophication	eutrophication	NOUN
brj-23470	275	113	index	index	NOUN
brj-23470	275	114	first	first	ADV
brj-23470	275	115	increased	increase	VERB
brj-23470	275	116	and	and	CCONJ
brj-23470	275	117	then	then	ADV
brj-23470	275	118	decreased	decrease	VERB
brj-23470	275	119	.	.	PUNCT
brj-23470	276	1	to	to	PART
brj-23470	276	2	verify	verify	VERB
brj-23470	276	3	this	this	DET
brj-23470	276	4	interrelationship	interrelationship	NOUN
brj-23470	276	5	,	,	PUNCT
brj-23470	276	6	the	the	DET
brj-23470	276	7	same	same	ADJ
brj-23470	276	8	method	method	NOUN
brj-23470	276	9	was	be	AUX
brj-23470	276	10	used	use	VERB
brj-23470	276	11	to	to	PART
brj-23470	276	12	study	study	VERB
brj-23470	276	13	the	the	DET
brj-23470	276	14	water	water	NOUN
brj-23470	276	15	quality	quality	NOUN
brj-23470	276	16	of	of	ADP
brj-23470	276	17	yanghe	yanghe	PROPN
brj-23470	276	18	reservoir	reservoir	NOUN
brj-23470	276	19	.	.	PUNCT
brj-23470	277	1	there	there	PRON
brj-23470	277	2	was	be	VERB
brj-23470	277	3	a	a	DET
brj-23470	277	4	three	three	NUM
brj-23470	277	5	-	-	PUNCT
brj-23470	277	6	stage	stage	NOUN
brj-23470	277	7	relationship	relationship	NOUN
brj-23470	277	8	between	between	ADP
brj-23470	277	9	orp	orp	PROPN
brj-23470	277	10	and	and	CCONJ
brj-23470	277	11	water	water	NOUN
brj-23470	277	12	eutrophication	eutrophication	NOUN
brj-23470	277	13	index	index	NOUN
brj-23470	277	14	(	(	PUNCT
brj-23470	277	15	figs	fig	NOUN
brj-23470	277	16	.	.	X
brj-23470	277	17	5	5	NUM
brj-23470	277	18	and	and	CCONJ
brj-23470	277	19	6	6	NUM
brj-23470	277	20	)	)	PUNCT
brj-23470	277	21	.	.	PUNCT
brj-23470	278	1	peer	peer	NOUN
brj-23470	278	2	-	-	PUNCT
brj-23470	278	3	reviewed	review	VERB
brj-23470	278	4	article	article	NOUN
brj-23470	278	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	278	6	zhang	zhang	PROPN
brj-23470	278	7	et	et	PROPN
brj-23470	278	8	al	al	PROPN
brj-23470	278	9	.	.	PROPN
brj-23470	279	1	(	(	PUNCT
brj-23470	279	2	2024	2024	NUM
brj-23470	279	3	)	)	PUNCT
brj-23470	279	4	.	.	PUNCT
brj-23470	280	1	“	"	PUNCT
brj-23470	280	2	activated	activate	VERB
brj-23470	280	3	carbon	carbon	NOUN
brj-23470	280	4	from	from	ADP
brj-23470	280	5	sludge	sludge	NOUN
brj-23470	280	6	,	,	PUNCT
brj-23470	280	7	”	"	PUNCT
brj-23470	280	8	bioresources	bioresource	NOUN
brj-23470	280	9	19(3	19(3	NUM
brj-23470	280	10	)	)	PUNCT
brj-23470	280	11	,	,	PUNCT
brj-23470	280	12	4941	4941	NUM
brj-23470	280	13	-	-	SYM
brj-23470	280	14	4959	4959	NUM
brj-23470	280	15	.	.	PUNCT
brj-23470	281	1	4955	4955	NUM
brj-23470	281	2	the	the	DET
brj-23470	281	3	data	datum	NOUN
brj-23470	281	4	of	of	ADP
brj-23470	281	5	yanghe	yanghe	PROPN
brj-23470	281	6	reservoir	reservoir	NOUN
brj-23470	281	7	were	be	AUX
brj-23470	281	8	divided	divide	VERB
brj-23470	281	9	into	into	ADP
brj-23470	281	10	three	three	NUM
brj-23470	281	11	sections	section	NOUN
brj-23470	281	12	as	as	SCONJ
brj-23470	281	13	follows	follow	VERB
brj-23470	281	14	:	:	PUNCT
brj-23470	281	15	y1=	y1=	PROPN
brj-23470	281	16	9×10	9×10	NUM
brj-23470	281	17	-	-	SYM
brj-23470	281	18	5×x3	5×x3	NUM
brj-23470	281	19	0.0719x2	0.0719x2	NUM
brj-23470	281	20	+	+	NUM
brj-23470	281	21	19.228x	19.228x	NOUN
brj-23470	281	22	-1710.5	-1710.5	NOUN
brj-23470	281	23	;	;	PUNCT
brj-23470	281	24	r2	r2	PROPN
brj-23470	281	25	=	=	PUNCT
brj-23470	281	26	0.9332	0.9332	NUM
brj-23470	281	27	(	(	PUNCT
brj-23470	281	28	250≤x≤280	250≤x≤280	NUM
brj-23470	281	29	)	)	PUNCT
brj-23470	281	30	(	(	PUNCT
brj-23470	281	31	14	14	NUM
brj-23470	281	32	)	)	PUNCT
brj-23470	281	33	y2	y2	NOUN
brj-23470	282	1	=	=	SYM
brj-23470	282	2	-0.0002x2	-0.0002x2	PUNCT
brj-23470	282	3	+	+	NUM
brj-23470	282	4	0.1446x	0.1446x	PROPN
brj-23470	282	5	21.161	21.161	NUM
brj-23470	282	6	;	;	PUNCT
brj-23470	282	7	r2	r2	NOUN
brj-23470	282	8	=	=	SYM
brj-23470	282	9	0.8851	0.8851	NUM
brj-23470	282	10	(	(	PUNCT
brj-23470	282	11	280≤x≤310	280≤x≤310	NOUN
brj-23470	282	12	)	)	PUNCT
brj-23470	282	13	(	(	PUNCT
brj-23470	282	14	15	15	X
brj-23470	282	15	)	)	PUNCT
brj-23470	282	16	y3	y3	NOUN
brj-23470	282	17	=	=	NUM
brj-23470	282	18	-0.0016x2	-0.0016x2	X
brj-23470	282	19	+	+	X
brj-23470	282	20	1.0388x	1.0388x	NUM
brj-23470	282	21	168.56	168.56	NUM
brj-23470	282	22	;	;	PUNCT
brj-23470	282	23	r2	r2	PROPN
brj-23470	282	24	=	=	SYM
brj-23470	282	25	0.8191	0.8191	NUM
brj-23470	282	26	(	(	PUNCT
brj-23470	282	27	310≤x≤340	310≤x≤340	NOUN
brj-23470	282	28	)	)	PUNCT
brj-23470	282	29	(	(	PUNCT
brj-23470	282	30	16	16	NUM
brj-23470	282	31	)	)	PUNCT
brj-23470	282	32	the	the	DET
brj-23470	282	33	eutrophication	eutrophication	NOUN
brj-23470	282	34	index	index	NOUN
brj-23470	282	35	and	and	CCONJ
brj-23470	282	36	orp	orp	PROPN
brj-23470	282	37	exhibited	exhibit	VERB
brj-23470	282	38	an	an	DET
brj-23470	282	39	inverse	inverse	NOUN
brj-23470	282	40	relationship	relationship	NOUN
brj-23470	282	41	,	,	PUNCT
brj-23470	282	42	where	where	SCONJ
brj-23470	282	43	higher	high	ADJ
brj-23470	282	44	orp	orp	PROPN
brj-23470	282	45	values	value	NOUN
brj-23470	282	46	corresponded	correspond	VERB
brj-23470	282	47	to	to	ADP
brj-23470	282	48	lower	low	ADJ
brj-23470	282	49	eutrophication	eutrophication	NOUN
brj-23470	282	50	index	index	NOUN
brj-23470	282	51	and	and	CCONJ
brj-23470	282	52	better	well	ADJ
brj-23470	282	53	water	water	NOUN
brj-23470	282	54	quality	quality	NOUN
brj-23470	282	55	.	.	PUNCT
brj-23470	283	1	an	an	DET
brj-23470	283	2	increase	increase	NOUN
brj-23470	283	3	in	in	ADP
brj-23470	283	4	pollutants	pollutant	NOUN
brj-23470	283	5	or	or	CCONJ
brj-23470	283	6	the	the	DET
brj-23470	283	7	occurrence	occurrence	NOUN
brj-23470	283	8	of	of	ADP
brj-23470	283	9	eutrophication	eutrophication	NOUN
brj-23470	283	10	in	in	ADP
brj-23470	283	11	water	water	NOUN
brj-23470	283	12	can	can	AUX
brj-23470	283	13	lead	lead	VERB
brj-23470	283	14	to	to	ADP
brj-23470	283	15	deteriorated	deteriorate	VERB
brj-23470	283	16	water	water	NOUN
brj-23470	283	17	quality	quality	NOUN
brj-23470	283	18	.	.	PUNCT
brj-23470	284	1	the	the	DET
brj-23470	284	2	decomposition	decomposition	NOUN
brj-23470	284	3	of	of	ADP
brj-23470	284	4	these	these	DET
brj-23470	284	5	pollutants	pollutant	NOUN
brj-23470	284	6	often	often	ADV
brj-23470	284	7	consumes	consume	VERB
brj-23470	284	8	oxygen	oxygen	NOUN
brj-23470	284	9	,	,	PUNCT
brj-23470	284	10	resulting	result	VERB
brj-23470	284	11	in	in	ADP
brj-23470	284	12	a	a	DET
brj-23470	284	13	reduction	reduction	NOUN
brj-23470	284	14	of	of	ADP
brj-23470	284	15	the	the	DET
brj-23470	284	16	oxidation	oxidation	NOUN
brj-23470	284	17	-	-	PUNCT
brj-23470	284	18	reduction	reduction	NOUN
brj-23470	284	19	potential	potential	NOUN
brj-23470	284	20	(	(	PUNCT
brj-23470	284	21	orp	orp	PROPN
brj-23470	284	22	)	)	PUNCT
brj-23470	284	23	.	.	PUNCT
brj-23470	285	1	hence	hence	ADV
brj-23470	285	2	,	,	PUNCT
brj-23470	285	3	the	the	DET
brj-23470	285	4	eutrophication	eutrophication	NOUN
brj-23470	285	5	index	index	NOUN
brj-23470	285	6	and	and	CCONJ
brj-23470	285	7	orp	orp	PROPN
brj-23470	285	8	often	often	ADV
brj-23470	285	9	display	display	VERB
brj-23470	285	10	an	an	DET
brj-23470	285	11	inverse	inverse	NOUN
brj-23470	285	12	relationship	relationship	NOUN
brj-23470	285	13	(	(	PUNCT
brj-23470	285	14	martín	martín	NOUN
brj-23470	285	15	et	et	PROPN
brj-23470	285	16	al	al	PROPN
brj-23470	285	17	.	.	PROPN
brj-23470	285	18	2012	2012	NUM
brj-23470	285	19	)	)	PUNCT
brj-23470	285	20	.	.	PUNCT
brj-23470	286	1	however	however	ADV
brj-23470	286	2	,	,	PUNCT
brj-23470	286	3	when	when	SCONJ
brj-23470	286	4	orp	orp	PROPN
brj-23470	286	5	increases	increase	VERB
brj-23470	286	6	,	,	PUNCT
brj-23470	286	7	it	it	PRON
brj-23470	286	8	may	may	AUX
brj-23470	286	9	also	also	ADV
brj-23470	286	10	indicate	indicate	VERB
brj-23470	286	11	the	the	DET
brj-23470	286	12	presence	presence	NOUN
brj-23470	286	13	of	of	ADP
brj-23470	286	14	other	other	ADJ
brj-23470	286	15	oxidizing	oxidize	VERB
brj-23470	286	16	pollutants	pollutant	NOUN
brj-23470	286	17	entering	enter	VERB
brj-23470	286	18	the	the	DET
brj-23470	286	19	water	water	NOUN
brj-23470	286	20	or	or	CCONJ
brj-23470	286	21	the	the	DET
brj-23470	286	22	release	release	NOUN
brj-23470	286	23	of	of	ADP
brj-23470	286	24	pre	pre	ADJ
brj-23470	286	25	-	-	ADJ
brj-23470	286	26	existing	exist	VERB
brj-23470	286	27	oxidizing	oxidize	VERB
brj-23470	286	28	pollutants	pollutant	NOUN
brj-23470	286	29	from	from	ADP
brj-23470	286	30	sediment	sediment	NOUN
brj-23470	286	31	,	,	PUNCT
brj-23470	286	32	leading	lead	VERB
brj-23470	286	33	to	to	ADP
brj-23470	286	34	new	new	ADJ
brj-23470	286	35	water	water	NOUN
brj-23470	286	36	pollution	pollution	NOUN
brj-23470	286	37	.	.	PUNCT
brj-23470	287	1	therefore	therefore	ADV
brj-23470	287	2	,	,	PUNCT
brj-23470	287	3	the	the	DET
brj-23470	287	4	relationship	relationship	NOUN
brj-23470	287	5	between	between	ADP
brj-23470	287	6	the	the	DET
brj-23470	287	7	eutrophication	eutrophication	NOUN
brj-23470	287	8	index	index	NOUN
brj-23470	287	9	and	and	CCONJ
brj-23470	287	10	orp	orp	PROPN
brj-23470	287	11	may	may	AUX
brj-23470	287	12	occasionally	occasionally	ADV
brj-23470	287	13	exhibit	exhibit	VERB
brj-23470	287	14	a	a	DET
brj-23470	287	15	positive	positive	ADJ
brj-23470	287	16	correlation	correlation	NOUN
brj-23470	287	17	(	(	PUNCT
brj-23470	287	18	zhang	zhang	X
brj-23470	287	19	et	et	PROPN
brj-23470	287	20	al	al	PROPN
brj-23470	287	21	.	.	PROPN
brj-23470	287	22	2018	2018	NUM
brj-23470	287	23	)	)	PUNCT
brj-23470	287	24	.	.	PUNCT
brj-23470	288	1	additionally	additionally	ADV
brj-23470	288	2	,	,	PUNCT
brj-23470	288	3	flow	flow	NOUN
brj-23470	288	4	velocity	velocity	NOUN
brj-23470	288	5	,	,	PUNCT
brj-23470	288	6	sudden	sudden	ADJ
brj-23470	288	7	rainfall	rainfall	NOUN
brj-23470	288	8	,	,	PUNCT
brj-23470	288	9	and	and	CCONJ
brj-23470	288	10	other	other	ADJ
brj-23470	288	11	biological	biological	ADJ
brj-23470	288	12	factors	factor	NOUN
brj-23470	288	13	in	in	ADP
brj-23470	288	14	the	the	DET
brj-23470	288	15	water	water	NOUN
brj-23470	288	16	can	can	AUX
brj-23470	288	17	also	also	ADV
brj-23470	288	18	influence	influence	VERB
brj-23470	288	19	the	the	DET
brj-23470	288	20	orp	orp	PROPN
brj-23470	288	21	of	of	ADP
brj-23470	288	22	the	the	DET
brj-23470	288	23	water	water	NOUN
brj-23470	288	24	.	.	PUNCT
brj-23470	289	1	in	in	ADP
brj-23470	289	2	this	this	DET
brj-23470	289	3	study	study	NOUN
brj-23470	289	4	,	,	PUNCT
brj-23470	289	5	a	a	DET
brj-23470	289	6	stage	stage	NOUN
brj-23470	289	7	-	-	PUNCT
brj-23470	289	8	wise	wise	ADJ
brj-23470	289	9	change	change	NOUN
brj-23470	289	10	pattern	pattern	NOUN
brj-23470	289	11	was	be	AUX
brj-23470	289	12	identified	identify	VERB
brj-23470	289	13	,	,	PUNCT
brj-23470	289	14	which	which	PRON
brj-23470	289	15	could	could	AUX
brj-23470	289	16	be	be	AUX
brj-23470	289	17	used	use	VERB
brj-23470	289	18	to	to	PART
brj-23470	289	19	predict	predict	VERB
brj-23470	289	20	water	water	NOUN
brj-23470	289	21	quality	quality	NOUN
brj-23470	289	22	,	,	PUNCT
brj-23470	289	23	especially	especially	ADV
brj-23470	289	24	eutrophication	eutrophication	NOUN
brj-23470	289	25	,	,	PUNCT
brj-23470	289	26	using	use	VERB
brj-23470	289	27	orp	orp	PROPN
brj-23470	289	28	in	in	ADP
brj-23470	289	29	the	the	DET
brj-23470	289	30	future	future	NOUN
brj-23470	289	31	.	.	PUNCT
brj-23470	290	1	in	in	ADP
brj-23470	290	2	general	general	ADJ
brj-23470	290	3	,	,	PUNCT
brj-23470	290	4	shihe	shihe	ADJ
brj-23470	290	5	reservior	reservior	NOUN
brj-23470	290	6	and	and	CCONJ
brj-23470	290	7	yanghe	yanghe	PROPN
brj-23470	290	8	reservoir	reservoir	NOUN
brj-23470	290	9	are	be	AUX
brj-23470	290	10	both	both	PRON
brj-23470	290	11	drinking	drink	VERB
brj-23470	290	12	water	water	NOUN
brj-23470	290	13	sources	source	NOUN
brj-23470	290	14	with	with	ADP
brj-23470	290	15	eutrophication	eutrophication	NOUN
brj-23470	290	16	phenomena	phenomenon	NOUN
brj-23470	290	17	.	.	PUNCT
brj-23470	291	1	therefore	therefore	ADV
brj-23470	291	2	,	,	PUNCT
brj-23470	291	3	samples	sample	NOUN
brj-23470	291	4	were	be	AUX
brj-23470	291	5	taken	take	VERB
brj-23470	291	6	from	from	ADP
brj-23470	291	7	the	the	DET
brj-23470	291	8	two	two	NUM
brj-23470	291	9	water	water	NOUN
brj-23470	291	10	sources	source	NOUN
brj-23470	291	11	and	and	CCONJ
brj-23470	291	12	the	the	DET
brj-23470	291	13	same	same	ADJ
brj-23470	291	14	analysis	analysis	NOUN
brj-23470	291	15	was	be	AUX
brj-23470	291	16	conducted	conduct	VERB
brj-23470	291	17	.	.	PUNCT
brj-23470	292	1	although	although	SCONJ
brj-23470	292	2	orp	orp	PROPN
brj-23470	292	3	ranges	range	NOUN
brj-23470	292	4	were	be	AUX
brj-23470	292	5	different	different	ADJ
brj-23470	292	6	,	,	PUNCT
brj-23470	292	7	there	there	PRON
brj-23470	292	8	was	be	VERB
brj-23470	292	9	still	still	ADV
brj-23470	292	10	a	a	DET
brj-23470	292	11	three	three	NUM
brj-23470	292	12	-	-	PUNCT
brj-23470	292	13	stage	stage	NOUN
brj-23470	292	14	shared	share	VERB
brj-23470	292	15	relationship	relationship	NOUN
brj-23470	292	16	,	,	PUNCT
brj-23470	292	17	and	and	CCONJ
brj-23470	292	18	orp	orp	PROPN
brj-23470	292	19	and	and	CCONJ
brj-23470	292	20	eutrophication	eutrophication	NOUN
brj-23470	292	21	index	index	NOUN
brj-23470	292	22	were	be	AUX
brj-23470	292	23	negatively	negatively	ADV
brj-23470	292	24	correlated	correlate	VERB
brj-23470	292	25	in	in	ADP
brj-23470	292	26	most	most	ADJ
brj-23470	292	27	cases	case	NOUN
brj-23470	292	28	.	.	PUNCT
brj-23470	293	1	it	it	PRON
brj-23470	293	2	is	be	AUX
brj-23470	293	3	fully	fully	ADV
brj-23470	293	4	explained	explain	VERB
brj-23470	293	5	that	that	SCONJ
brj-23470	293	6	the	the	DET
brj-23470	293	7	three	three	NUM
brj-23470	293	8	-	-	PUNCT
brj-23470	293	9	stage	stage	NOUN
brj-23470	293	10	formula	formula	NOUN
brj-23470	293	11	was	be	AUX
brj-23470	293	12	still	still	ADV
brj-23470	293	13	applicable	applicable	ADJ
brj-23470	293	14	in	in	ADP
brj-23470	293	15	other	other	ADJ
brj-23470	293	16	water	water	NOUN
brj-23470	293	17	sources	source	NOUN
brj-23470	293	18	,	,	PUNCT
brj-23470	293	19	so	so	SCONJ
brj-23470	293	20	as	as	SCONJ
brj-23470	293	21	to	to	PART
brj-23470	293	22	prove	prove	VERB
brj-23470	293	23	the	the	DET
brj-23470	293	24	feasibility	feasibility	NOUN
brj-23470	293	25	of	of	ADP
brj-23470	293	26	the	the	DET
brj-23470	293	27	research	research	NOUN
brj-23470	293	28	.	.	PUNCT
brj-23470	294	1	this	this	DET
brj-23470	294	2	result	result	NOUN
brj-23470	294	3	could	could	AUX
brj-23470	294	4	confirm	confirm	VERB
brj-23470	294	5	the	the	DET
brj-23470	294	6	hypothesis	hypothesis	NOUN
brj-23470	294	7	proposed	propose	VERB
brj-23470	294	8	in	in	ADP
brj-23470	294	9	the	the	DET
brj-23470	294	10	introduction	introduction	NOUN
brj-23470	294	11	section	section	NOUN
brj-23470	294	12	.	.	PUNCT
brj-23470	295	1	the	the	DET
brj-23470	295	2	relationship	relationship	NOUN
brj-23470	295	3	between	between	ADP
brj-23470	295	4	orp	orp	PROPN
brj-23470	295	5	and	and	CCONJ
brj-23470	295	6	eutrophication	eutrophication	NOUN
brj-23470	295	7	is	be	AUX
brj-23470	295	8	not	not	PART
brj-23470	295	9	simply	simply	ADV
brj-23470	295	10	a	a	DET
brj-23470	295	11	positive	positive	ADJ
brj-23470	295	12	or	or	CCONJ
brj-23470	295	13	negative	negative	ADJ
brj-23470	295	14	correlation	correlation	NOUN
brj-23470	295	15	,	,	PUNCT
brj-23470	295	16	and	and	CCONJ
brj-23470	295	17	there	there	PRON
brj-23470	295	18	may	may	AUX
brj-23470	295	19	be	be	AUX
brj-23470	295	20	a	a	DET
brj-23470	295	21	phased	phase	VERB
brj-23470	295	22	change	change	NOUN
brj-23470	295	23	relationship	relationship	NOUN
brj-23470	295	24	.	.	PUNCT
brj-23470	296	1	although	although	SCONJ
brj-23470	296	2	this	this	DET
brj-23470	296	3	study	study	NOUN
brj-23470	296	4	established	establish	VERB
brj-23470	296	5	a	a	DET
brj-23470	296	6	mathematical	mathematical	ADJ
brj-23470	296	7	relationship	relationship	NOUN
brj-23470	296	8	between	between	ADP
brj-23470	296	9	orp	orp	PROPN
brj-23470	296	10	and	and	CCONJ
brj-23470	296	11	eutrophication	eutrophication	NOUN
brj-23470	296	12	,	,	PUNCT
brj-23470	296	13	which	which	PRON
brj-23470	296	14	could	could	AUX
brj-23470	296	15	predict	predict	VERB
brj-23470	296	16	the	the	DET
brj-23470	296	17	trend	trend	NOUN
brj-23470	296	18	of	of	ADP
brj-23470	296	19	eutrophication	eutrophication	NOUN
brj-23470	296	20	in	in	ADP
brj-23470	296	21	water	water	NOUN
brj-23470	296	22	bodies	body	NOUN
brj-23470	296	23	through	through	ADP
brj-23470	296	24	changes	change	NOUN
brj-23470	296	25	in	in	ADP
brj-23470	296	26	orp	orp	PROPN
brj-23470	296	27	,	,	PUNCT
brj-23470	296	28	no	no	DET
brj-23470	296	29	corresponding	corresponding	ADJ
brj-23470	296	30	evaluation	evaluation	NOUN
brj-23470	296	31	mechanism	mechanism	NOUN
brj-23470	296	32	has	have	AUX
brj-23470	296	33	yet	yet	ADV
brj-23470	296	34	been	be	AUX
brj-23470	296	35	established	establish	VERB
brj-23470	296	36	,	,	PUNCT
brj-23470	296	37	and	and	CCONJ
brj-23470	296	38	further	further	ADJ
brj-23470	296	39	analysis	analysis	NOUN
brj-23470	296	40	is	be	AUX
brj-23470	296	41	needed	need	VERB
brj-23470	296	42	in	in	ADP
brj-23470	296	43	future	future	ADJ
brj-23470	296	44	research	research	NOUN
brj-23470	296	45	.	.	PUNCT
brj-23470	297	1	conclusions	conclusion	NOUN
brj-23470	297	2	1	1	X
brj-23470	297	3	.	.	PUNCT
brj-23470	298	1	this	this	DET
brj-23470	298	2	study	study	NOUN
brj-23470	298	3	examined	examine	VERB
brj-23470	298	4	the	the	DET
brj-23470	298	5	relationship	relationship	NOUN
brj-23470	298	6	between	between	ADP
brj-23470	298	7	water	water	NOUN
brj-23470	298	8	eutrophication	eutrophication	NOUN
brj-23470	298	9	and	and	CCONJ
brj-23470	298	10	the	the	DET
brj-23470	298	11	oxidationreduction	oxidationreduction	NOUN
brj-23470	298	12	potential	potential	NOUN
brj-23470	298	13	(	(	PUNCT
brj-23470	298	14	orp	orp	PROPN
brj-23470	298	15	)	)	PUNCT
brj-23470	298	16	to	to	PART
brj-23470	298	17	achieve	achieve	VERB
brj-23470	298	18	a	a	DET
brj-23470	298	19	rapid	rapid	ADJ
brj-23470	298	20	analysis	analysis	NOUN
brj-23470	298	21	of	of	ADP
brj-23470	298	22	eutrophication	eutrophication	NOUN
brj-23470	298	23	parameters	parameter	NOUN
brj-23470	298	24	in	in	ADP
brj-23470	298	25	water	water	NOUN
brj-23470	298	26	bodies	body	NOUN
brj-23470	298	27	,	,	PUNCT
brj-23470	298	28	thus	thus	ADV
brj-23470	298	29	enabling	enable	VERB
brj-23470	298	30	better	well	ADJ
brj-23470	298	31	monitoring	monitoring	NOUN
brj-23470	298	32	of	of	ADP
brj-23470	298	33	ecosystem	ecosystem	NOUN
brj-23470	298	34	health	health	NOUN
brj-23470	298	35	.	.	PUNCT
brj-23470	299	1	the	the	DET
brj-23470	299	2	results	result	NOUN
brj-23470	299	3	showed	show	VERB
brj-23470	299	4	that	that	SCONJ
brj-23470	299	5	various	various	ADJ
brj-23470	299	6	parameters	parameter	NOUN
brj-23470	299	7	related	relate	VERB
brj-23470	299	8	to	to	ADP
brj-23470	299	9	eutrophication	eutrophication	NOUN
brj-23470	299	10	,	,	PUNCT
brj-23470	299	11	such	such	ADJ
brj-23470	299	12	as	as	ADP
brj-23470	299	13	ammonia	ammonia	ADJ
brj-23470	299	14	nitrogen	nitrogen	NOUN
brj-23470	299	15	,	,	PUNCT
brj-23470	299	16	total	total	ADJ
brj-23470	299	17	nitrogen	nitrogen	NOUN
brj-23470	299	18	,	,	PUNCT
brj-23470	299	19	total	total	ADJ
brj-23470	299	20	phosphorus	phosphorus	NOUN
brj-23470	299	21	,	,	PUNCT
brj-23470	299	22	chlorophyll	chlorophyll	VERB
brj-23470	299	23	a	a	DET
brj-23470	299	24	(	(	PUNCT
brj-23470	299	25	chla	chla	NOUN
brj-23470	299	26	)	)	PUNCT
brj-23470	299	27	,	,	PUNCT
brj-23470	299	28	and	and	CCONJ
brj-23470	299	29	cyanobacteria	cyanobacteria	NOUN
brj-23470	299	30	,	,	PUNCT
brj-23470	299	31	showed	show	VERB
brj-23470	299	32	certain	certain	ADJ
brj-23470	299	33	correlations	correlation	NOUN
brj-23470	299	34	with	with	ADP
brj-23470	299	35	orp	orp	PROPN
brj-23470	299	36	.	.	PROPN
brj-23470	299	37	2	2	NUM
brj-23470	299	38	.	.	PUNCT
brj-23470	299	39	principal	principal	ADJ
brj-23470	299	40	component	component	NOUN
brj-23470	299	41	analysis	analysis	NOUN
brj-23470	299	42	(	(	PUNCT
brj-23470	299	43	pca	pca	NOUN
brj-23470	299	44	)	)	PUNCT
brj-23470	299	45	was	be	AUX
brj-23470	299	46	used	use	VERB
brj-23470	299	47	to	to	PART
brj-23470	299	48	comprehensively	comprehensively	ADV
brj-23470	299	49	analyze	analyze	VERB
brj-23470	299	50	eutrophication	eutrophication	NOUN
brj-23470	299	51	-	-	PUNCT
brj-23470	299	52	related	relate	VERB
brj-23470	299	53	parameters	parameter	NOUN
brj-23470	299	54	and	and	CCONJ
brj-23470	299	55	obtain	obtain	VERB
brj-23470	299	56	an	an	DET
brj-23470	299	57	index	index	NOUN
brj-23470	299	58	,	,	PUNCT
brj-23470	299	59	with	with	ADP
brj-23470	299	60	the	the	DET
brj-23470	299	61	cumulative	cumulative	ADJ
brj-23470	299	62	contribution	contribution	NOUN
brj-23470	299	63	of	of	ADP
brj-23470	299	64	the	the	DET
brj-23470	299	65	principal	principal	ADJ
brj-23470	299	66	components	component	NOUN
brj-23470	299	67	reaching	reach	VERB
brj-23470	299	68	81.8	81.8	NUM
brj-23470	299	69	%	%	NOUN
brj-23470	299	70	.	.	PUNCT
brj-23470	300	1	3	3	X
brj-23470	300	2	.	.	X
brj-23470	300	3	bp	bp	PROPN
brj-23470	300	4	neural	neural	PROPN
brj-23470	300	5	network	network	NOUN
brj-23470	300	6	analysis	analysis	NOUN
brj-23470	300	7	was	be	AUX
brj-23470	300	8	employed	employ	VERB
brj-23470	300	9	for	for	ADP
brj-23470	300	10	water	water	NOUN
brj-23470	300	11	quality	quality	NOUN
brj-23470	300	12	prediction	prediction	NOUN
brj-23470	300	13	.	.	PUNCT
brj-23470	301	1	the	the	DET
brj-23470	301	2	results	result	NOUN
brj-23470	301	3	indicated	indicate	VERB
brj-23470	301	4	that	that	SCONJ
brj-23470	301	5	utilizing	utilize	VERB
brj-23470	301	6	bp	bp	PROPN
brj-23470	301	7	neural	neural	ADJ
brj-23470	301	8	networks	network	NOUN
brj-23470	301	9	for	for	ADP
brj-23470	301	10	predictive	predictive	ADJ
brj-23470	301	11	analysis	analysis	NOUN
brj-23470	301	12	is	be	AUX
brj-23470	301	13	a	a	DET
brj-23470	301	14	promising	promising	ADJ
brj-23470	301	15	peer	peer	NOUN
brj-23470	301	16	-	-	PUNCT
brj-23470	301	17	reviewed	review	VERB
brj-23470	301	18	article	article	NOUN
brj-23470	301	19	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	301	20	zhang	zhang	PROPN
brj-23470	301	21	et	et	PROPN
brj-23470	301	22	al	al	PROPN
brj-23470	301	23	.	.	PROPN
brj-23470	302	1	(	(	PUNCT
brj-23470	302	2	2024	2024	NUM
brj-23470	302	3	)	)	PUNCT
brj-23470	302	4	.	.	PUNCT
brj-23470	303	1	“	"	PUNCT
brj-23470	303	2	activated	activate	VERB
brj-23470	303	3	carbon	carbon	NOUN
brj-23470	303	4	from	from	ADP
brj-23470	303	5	sludge	sludge	NOUN
brj-23470	303	6	,	,	PUNCT
brj-23470	303	7	”	"	PUNCT
brj-23470	303	8	bioresources	bioresource	NOUN
brj-23470	303	9	19(3	19(3	NUM
brj-23470	303	10	)	)	PUNCT
brj-23470	303	11	,	,	PUNCT
brj-23470	303	12	4941	4941	NUM
brj-23470	303	13	-	-	SYM
brj-23470	303	14	4959	4959	NUM
brj-23470	303	15	.	.	PUNCT
brj-23470	304	1	4956	4956	NUM
brj-23470	304	2	method	method	NOUN
brj-23470	304	3	.	.	PUNCT
brj-23470	305	1	4	4	X
brj-23470	305	2	.	.	X
brj-23470	305	3	a	a	DET
brj-23470	305	4	mathematical	mathematical	ADJ
brj-23470	305	5	fitting	fitting	ADJ
brj-23470	305	6	method	method	NOUN
brj-23470	305	7	was	be	AUX
brj-23470	305	8	applied	apply	VERB
brj-23470	305	9	to	to	PART
brj-23470	305	10	establish	establish	VERB
brj-23470	305	11	a	a	DET
brj-23470	305	12	three	three	NUM
brj-23470	305	13	-	-	PUNCT
brj-23470	305	14	segment	segment	NOUN
brj-23470	305	15	relationship	relationship	NOUN
brj-23470	305	16	between	between	ADP
brj-23470	305	17	orp	orp	PROPN
brj-23470	305	18	and	and	CCONJ
brj-23470	305	19	eutrophication	eutrophication	NOUN
brj-23470	305	20	-	-	PUNCT
brj-23470	305	21	related	relate	VERB
brj-23470	305	22	index	index	NOUN
brj-23470	305	23	,	,	PUNCT
brj-23470	305	24	allowing	allow	VERB
brj-23470	305	25	the	the	DET
brj-23470	305	26	calculation	calculation	NOUN
brj-23470	305	27	of	of	ADP
brj-23470	305	28	the	the	DET
brj-23470	305	29	eutrophication	eutrophication	NOUN
brj-23470	305	30	-	-	PUNCT
brj-23470	305	31	related	relate	VERB
brj-23470	305	32	index	index	NOUN
brj-23470	305	33	based	base	VERB
brj-23470	305	34	on	on	ADP
brj-23470	305	35	the	the	DET
brj-23470	305	36	orp	orp	PROPN
brj-23470	305	37	value	value	NOUN
brj-23470	305	38	.	.	PUNCT
brj-23470	306	1	acknowledgments	acknowledgment	NOUN
brj-23470	306	2	this	this	DET
brj-23470	306	3	paper	paper	NOUN
brj-23470	306	4	is	be	AUX
brj-23470	306	5	supported	support	VERB
brj-23470	306	6	by	by	ADP
brj-23470	306	7	zhejiang	zhejiang	PROPN
brj-23470	306	8	provincial	provincial	ADJ
brj-23470	306	9	philosophy	philosophy	NOUN
brj-23470	306	10	and	and	CCONJ
brj-23470	306	11	social	social	ADJ
brj-23470	306	12	sciences	sciences	PROPN
brj-23470	306	13	planning	planning	NOUN
brj-23470	306	14	project	project	NOUN
brj-23470	306	15	(	(	PUNCT
brj-23470	306	16	project	project	NOUN
brj-23470	306	17	no	no	NOUN
brj-23470	306	18	.	.	PUNCT
brj-23470	307	1	24ndjc196yb	24ndjc196yb	NUM
brj-23470	307	2	)	)	PUNCT
brj-23470	308	1	,	,	PUNCT
brj-23470	308	2	zhejiang	zhejiang	PROPN
brj-23470	308	3	provincial	provincial	ADJ
brj-23470	308	4	natural	natural	ADJ
brj-23470	308	5	science	science	PROPN
brj-23470	308	6	foundation	foundation	NOUN
brj-23470	308	7	of	of	ADP
brj-23470	308	8	china	china	PROPN
brj-23470	308	9	under	under	ADP
brj-23470	308	10	grant	grant	PROPN
brj-23470	308	11	no	no	INTJ
brj-23470	308	12	.	.	PUNCT
brj-23470	309	1	lq20b060004	lq20b060004	NOUN
brj-23470	309	2	and	and	CCONJ
brj-23470	309	3	natural	natural	ADJ
brj-23470	309	4	science	science	NOUN
brj-23470	309	5	foundation	foundation	NOUN
brj-23470	309	6	of	of	ADP
brj-23470	309	7	china	china	PROPN
brj-23470	309	8	(	(	PUNCT
brj-23470	309	9	project	project	VERB
brj-23470	309	10	no.21476190	no.21476190	PROPN
brj-23470	309	11	)	)	PUNCT
brj-23470	309	12	.	.	PUNCT
brj-23470	310	1	declaration	declaration	NOUN
brj-23470	310	2	of	of	ADP
brj-23470	310	3	competing	compete	VERB
brj-23470	310	4	interest	interest	NOUN
brj-23470	310	5	the	the	DET
brj-23470	310	6	authors	author	NOUN
brj-23470	310	7	declare	declare	VERB
brj-23470	310	8	that	that	SCONJ
brj-23470	310	9	they	they	PRON
brj-23470	310	10	have	have	VERB
brj-23470	310	11	no	no	DET
brj-23470	310	12	known	know	VERB
brj-23470	310	13	competing	compete	VERB
brj-23470	310	14	financial	financial	ADJ
brj-23470	310	15	interests	interest	NOUN
brj-23470	310	16	or	or	CCONJ
brj-23470	310	17	personal	personal	ADJ
brj-23470	310	18	relationships	relationship	NOUN
brj-23470	310	19	that	that	PRON
brj-23470	310	20	could	could	AUX
brj-23470	310	21	have	have	AUX
brj-23470	310	22	appeared	appear	VERB
brj-23470	310	23	to	to	PART
brj-23470	310	24	influence	influence	VERB
brj-23470	310	25	the	the	DET
brj-23470	310	26	work	work	NOUN
brj-23470	310	27	reported	report	VERB
brj-23470	310	28	in	in	ADP
brj-23470	310	29	this	this	DET
brj-23470	310	30	paper	paper	NOUN
brj-23470	310	31	.	.	PUNCT
brj-23470	311	1	references	reference	NOUN
brj-23470	311	2	cited	cite	VERB
brj-23470	311	3	arash	arash	PROPN
brj-23470	311	4	,	,	PUNCT
brj-23470	311	5	a.	a.	PROPN
brj-23470	311	6	,	,	PUNCT
brj-23470	311	7	hiwa	hiwa	PROPN
brj-23470	311	8	,	,	PUNCT
brj-23470	311	9	f.	f.	PROPN
brj-23470	311	10	,	,	PUNCT
brj-23470	311	11	mahmoudian	mahmoudian	PROPN
brj-23470	311	12	,	,	PUNCT
brj-23470	311	13	s.	s.	PROPN
brj-23470	311	14	m.	m.	PROPN
brj-23470	311	15	,	,	PUNCT
brj-23470	311	16	lotfirad	lotfirad	PROPN
brj-23470	311	17	,	,	PUNCT
brj-23470	311	18	m.	m.	NOUN
brj-23470	311	19	,	,	PUNCT
brj-23470	311	20	iraj	iraj	PROPN
brj-23470	311	21	,	,	PUNCT
brj-23470	311	22	s.	s.	PROPN
brj-23470	311	23	,	,	PUNCT
brj-23470	311	24	and	and	CCONJ
brj-23470	311	25	hossein	hossein	PROPN
brj-23470	311	26	,	,	PUNCT
brj-23470	311	27	s.	s.	PROPN
brj-23470	311	28	(	(	PUNCT
brj-23470	311	29	2022	2022	NUM
brj-23470	311	30	)	)	PUNCT
brj-23470	311	31	.	.	PUNCT
brj-23470	312	1	“	"	PUNCT
brj-23470	312	2	selection	selection	NOUN
brj-23470	312	3	of	of	ADP
brj-23470	312	4	the	the	DET
brj-23470	312	5	best	good	ADJ
brj-23470	312	6	machine	machine	NOUN
brj-23470	312	7	learning	learning	NOUN
brj-23470	312	8	method	method	NOUN
brj-23470	312	9	for	for	ADP
brj-23470	312	10	estimation	estimation	NOUN
brj-23470	312	11	of	of	ADP
brj-23470	312	12	concentration	concentration	NOUN
brj-23470	312	13	of	of	ADP
brj-23470	312	14	different	different	ADJ
brj-23470	312	15	water	water	NOUN
brj-23470	312	16	quality	quality	NOUN
brj-23470	312	17	parameters	parameter	NOUN
brj-23470	312	18	,	,	PUNCT
brj-23470	312	19	”	"	PUNCT
brj-23470	312	20	sust	sust	PROPN
brj-23470	312	21	.	.	PUNCT
brj-23470	312	22	wat	wat	PROPN
brj-23470	312	23	.	.	PUNCT
brj-23470	313	1	resour	resour	NOUN
brj-23470	313	2	.	.	PUNCT
brj-23470	314	1	man	man	NOUN
brj-23470	314	2	.	.	PUNCT
brj-23470	315	1	8	8	NUM
brj-23470	315	2	,	,	PUNCT
brj-23470	315	3	172	172	NUM
brj-23470	315	4	.	.	PUNCT
brj-23470	315	5	doi	doi	NOUN
brj-23470	315	6	:	:	PUNCT
brj-23470	315	7	10.1007	10.1007	NUM
brj-23470	315	8	/	/	SYM
brj-23470	315	9	s40899	s40899	NOUN
brj-23470	315	10	-	-	PUNCT
brj-23470	315	11	022	022	NUM
brj-23470	315	12	-	-	PUNCT
brj-23470	315	13	00765	00765	NUM
brj-23470	315	14	-	-	SYM
brj-23470	315	15	3	3	NUM
brj-23470	315	16	chen	chen	PROPN
brj-23470	315	17	,	,	PUNCT
brj-23470	315	18	c.	c.	PROPN
brj-23470	315	19	,	,	PUNCT
brj-23470	315	20	zhang	zhang	PROPN
brj-23470	315	21	,	,	PUNCT
brj-23470	315	22	d.	d.	PROPN
brj-23470	315	23	,	,	PUNCT
brj-23470	315	24	yuan	yuan	PROPN
brj-23470	315	25	,	,	PUNCT
brj-23470	315	26	a.	a.	PROPN
brj-23470	315	27	,	,	PUNCT
brj-23470	315	28	shen	shen	PROPN
brj-23470	315	29	,	,	PUNCT
brj-23470	315	30	j.	j.	PROPN
brj-23470	315	31	,	,	PUNCT
brj-23470	315	32	wang	wang	PROPN
brj-23470	315	33	,	,	PUNCT
brj-23470	315	34	l.	l.	PROPN
brj-23470	315	35	,	,	PUNCT
brj-23470	315	36	and	and	CCONJ
brj-23470	315	37	wang	wang	PROPN
brj-23470	315	38	,	,	PUNCT
brj-23470	315	39	s.	s.	PROPN
brj-23470	315	40	-l	-l	PROPN
brj-23470	315	41	.	.	PUNCT
brj-23470	316	1	(	(	PUNCT
brj-23470	316	2	2022	2022	NUM
brj-23470	316	3	)	)	PUNCT
brj-23470	316	4	.	.	PUNCT
brj-23470	317	1	“	"	PUNCT
brj-23470	317	2	a	a	DET
brj-23470	317	3	novel	novel	ADJ
brj-23470	317	4	approach	approach	NOUN
brj-23470	317	5	to	to	PART
brj-23470	317	6	predict	predict	VERB
brj-23470	317	7	the	the	DET
brj-23470	317	8	comprehensive	comprehensive	ADJ
brj-23470	317	9	erod	erod	NOUN
brj-23470	317	10	potency	potency	NOUN
brj-23470	317	11	:	:	PUNCT
brj-23470	317	12	mechanism	mechanism	NOUN
brj-23470	317	13	-	-	PUNCT
brj-23470	317	14	based	base	VERB
brj-23470	317	15	curve	curve	NOUN
brj-23470	317	16	fitting	fitting	ADJ
brj-23470	317	17	of	of	ADP
brj-23470	317	18	cyp1a1	cyp1a1	NOUN
brj-23470	317	19	activity	activity	NOUN
brj-23470	317	20	by	by	ADP
brj-23470	317	21	pahs	pah	NOUN
brj-23470	317	22	,	,	PUNCT
brj-23470	317	23	”	"	PUNCT
brj-23470	317	24	sci	sci	PROPN
brj-23470	317	25	.	.	PROPN
brj-23470	317	26	total	total	PROPN
brj-23470	317	27	.	.	PUNCT
brj-23470	318	1	environ	environ	PROPN
brj-23470	318	2	.	.	PROPN
brj-23470	319	1	843	843	NUM
brj-23470	319	2	,	,	PUNCT
brj-23470	319	3	article	article	NOUN
brj-23470	319	4	157052	157052	NUM
brj-23470	319	5	.	.	PUNCT
brj-23470	320	1	doi	doi	NOUN
brj-23470	320	2	:	:	PUNCT
brj-23470	320	3	10.1016	10.1016	NUM
brj-23470	320	4	/	/	SYM
brj-23470	320	5	j.scitotenv.2022.157052	j.scitotenv.2022.157052	PROPN
brj-23470	320	6	chen	chen	PROPN
brj-23470	320	7	,	,	PUNCT
brj-23470	320	8	y.	y.	PROPN
brj-23470	320	9	,	,	PUNCT
brj-23470	320	10	song	song	NOUN
brj-23470	320	11	,	,	PUNCT
brj-23470	320	12	l.	l.	PROPN
brj-23470	320	13	,	,	PUNCT
brj-23470	320	14	and	and	CCONJ
brj-23470	320	15	liu	liu	PROPN
brj-23470	320	16	,	,	PUNCT
brj-23470	320	17	y.	y.	PROPN
brj-23470	320	18	(	(	PUNCT
brj-23470	320	19	2020	2020	NUM
brj-23470	320	20	)	)	PUNCT
brj-23470	320	21	.	.	PUNCT
brj-23470	321	1	“	"	PUNCT
brj-23470	321	2	a	a	DET
brj-23470	321	3	review	review	NOUN
brj-23470	321	4	of	of	ADP
brj-23470	321	5	the	the	DET
brj-23470	321	6	artificial	artificial	ADJ
brj-23470	321	7	neural	neural	ADJ
brj-23470	321	8	network	network	NOUN
brj-23470	321	9	models	model	NOUN
brj-23470	321	10	for	for	ADP
brj-23470	321	11	water	water	NOUN
brj-23470	321	12	quality	quality	NOUN
brj-23470	321	13	prediction	prediction	NOUN
brj-23470	321	14	,	,	PUNCT
brj-23470	321	15	”	"	PUNCT
brj-23470	321	16	appl	appl	NOUN
brj-23470	321	17	.	.	PUNCT
brj-23470	322	1	sci	sci	PROPN
brj-23470	322	2	.	.	PROPN
brj-23470	322	3	10	10	NUM
brj-23470	322	4	,	,	PUNCT
brj-23470	322	5	article	article	NOUN
brj-23470	322	6	5776	5776	NUM
brj-23470	322	7	.	.	PUNCT
brj-23470	323	1	doi	doi	NOUN
brj-23470	323	2	:	:	PUNCT
brj-23470	323	3	10.3390	10.3390	NUM
brj-23470	323	4	/	/	SYM
brj-23470	323	5	app10175776	app10175776	NOUN
brj-23470	323	6	choden	choden	PROPN
brj-23470	323	7	,	,	PUNCT
brj-23470	323	8	y.	y.	PROPN
brj-23470	323	9	,	,	PUNCT
brj-23470	323	10	chokden	chokden	PROPN
brj-23470	323	11	,	,	PUNCT
brj-23470	323	12	s.	s.	PROPN
brj-23470	323	13	,	,	PUNCT
brj-23470	323	14	and	and	CCONJ
brj-23470	323	15	rabten	rabten	VERB
brj-23470	323	16	,	,	PUNCT
brj-23470	323	17	t.	t.	NOUN
brj-23470	323	18	(	(	PUNCT
brj-23470	323	19	2022	2022	NUM
brj-23470	323	20	)	)	PUNCT
brj-23470	323	21	.	.	PUNCT
brj-23470	324	1	“	"	PUNCT
brj-23470	324	2	performance	performance	NOUN
brj-23470	324	3	assessment	assessment	NOUN
brj-23470	324	4	of	of	ADP
brj-23470	324	5	data	data	NOUN
brj-23470	324	6	-	-	PUNCT
brj-23470	324	7	driven	drive	VERB
brj-23470	324	8	water	water	NOUN
brj-23470	324	9	models	model	NOUN
brj-23470	324	10	using	use	VERB
brj-23470	324	11	water	water	NOUN
brj-23470	324	12	quality	quality	NOUN
brj-23470	324	13	parameters	parameter	NOUN
brj-23470	324	14	of	of	ADP
brj-23470	324	15	wangchu	wangchu	PROPN
brj-23470	324	16	river	river	PROPN
brj-23470	324	17	,	,	PUNCT
brj-23470	324	18	bhutan	bhutan	PROPN
brj-23470	324	19	.	.	PUNCT
brj-23470	325	1	sn	sn	PROPN
brj-23470	325	2	.	.	PUNCT
brj-23470	325	3	appl	appl	PROPN
brj-23470	325	4	.	.	PUNCT
brj-23470	326	1	sci	sci	PROPN
brj-23470	326	2	.	.	PROPN
brj-23470	326	3	4	4	NUM
brj-23470	326	4	,	,	PUNCT
brj-23470	326	5	article	article	NOUN
brj-23470	326	6	290	290	NUM
brj-23470	326	7	.	.	PUNCT
brj-23470	327	1	doi	doi	NOUN
brj-23470	327	2	:	:	PUNCT
brj-23470	327	3	10.1007	10.1007	NUM
brj-23470	327	4	/	/	SYM
brj-23470	327	5	s42452	s42452	NOUN
brj-23470	327	6	-	-	PUNCT
brj-23470	327	7	022	022	NUM
brj-23470	327	8	-	-	PUNCT
brj-23470	327	9	05181	05181	NUM
brj-23470	327	10	-	-	PUNCT
brj-23470	327	11	y	y	PROPN
brj-23470	327	12	fijani	fijani	PROPN
brj-23470	327	13	,	,	PUNCT
brj-23470	327	14	e.	e.	PROPN
brj-23470	327	15	,	,	PUNCT
brj-23470	327	16	barzegar	barzegar	PROPN
brj-23470	327	17	,	,	PUNCT
brj-23470	327	18	r.	r.	PROPN
brj-23470	327	19	,	,	PUNCT
brj-23470	327	20	deo	deo	PROPN
brj-23470	327	21	,	,	PUNCT
brj-23470	327	22	r.	r.	PROPN
brj-23470	327	23	,	,	PUNCT
brj-23470	327	24	tziritis	tziritis	PROPN
brj-23470	327	25	,	,	PUNCT
brj-23470	327	26	e.	e.	PROPN
brj-23470	327	27	,	,	PUNCT
brj-23470	327	28	and	and	CCONJ
brj-23470	327	29	skordas	skordas	PROPN
brj-23470	327	30	,	,	PUNCT
brj-23470	327	31	k.	k.	PROPN
brj-23470	327	32	(	(	PUNCT
brj-23470	327	33	2019	2019	NUM
brj-23470	327	34	)	)	PUNCT
brj-23470	327	35	.	.	PUNCT
brj-23470	328	1	“	"	PUNCT
brj-23470	328	2	design	design	NOUN
brj-23470	328	3	and	and	CCONJ
brj-23470	328	4	implementation	implementation	NOUN
brj-23470	328	5	of	of	ADP
brj-23470	328	6	a	a	DET
brj-23470	328	7	hybrid	hybrid	ADJ
brj-23470	328	8	model	model	NOUN
brj-23470	328	9	based	base	VERB
brj-23470	328	10	on	on	ADP
brj-23470	328	11	two	two	NUM
brj-23470	328	12	-	-	PUNCT
brj-23470	328	13	layer	layer	NOUN
brj-23470	328	14	decomposition	decomposition	NOUN
brj-23470	328	15	method	method	NOUN
brj-23470	328	16	coupled	couple	VERB
brj-23470	328	17	with	with	ADP
brj-23470	328	18	extreme	extreme	ADJ
brj-23470	328	19	learning	learning	NOUN
brj-23470	328	20	machines	machine	NOUN
brj-23470	328	21	to	to	PART
brj-23470	328	22	support	support	VERB
brj-23470	328	23	real	real	ADJ
brj-23470	328	24	-	-	PUNCT
brj-23470	328	25	time	time	NOUN
brj-23470	328	26	environmental	environmental	ADJ
brj-23470	328	27	monitoring	monitoring	NOUN
brj-23470	328	28	of	of	ADP
brj-23470	328	29	water	water	NOUN
brj-23470	328	30	quality	quality	NOUN
brj-23470	328	31	parameters	parameter	NOUN
brj-23470	328	32	,	,	PUNCT
brj-23470	328	33	”	"	PUNCT
brj-23470	328	34	sci	sci	PROPN
brj-23470	328	35	.	.	PROPN
brj-23470	328	36	total	total	PROPN
brj-23470	328	37	.	.	PUNCT
brj-23470	329	1	environ	environ	PROPN
brj-23470	329	2	.	.	PROPN
brj-23470	329	3	648	648	NUM
brj-23470	329	4	,	,	PUNCT
brj-23470	329	5	839	839	NUM
brj-23470	329	6	-	-	SYM
brj-23470	329	7	853	853	NUM
brj-23470	329	8	.	.	PUNCT
brj-23470	330	1	doi	doi	NOUN
brj-23470	330	2	:	:	PUNCT
brj-23470	330	3	10.1016	10.1016	NUM
brj-23470	330	4	/	/	SYM
brj-23470	330	5	j.scitotenv.2018.08.221	j.scitotenv.2018.08.221	PROPN
brj-23470	330	6	gökçe	gökçe	PROPN
brj-23470	330	7	d.	d.	PROPN
brj-23470	330	8	(	(	PUNCT
brj-23470	330	9	2016	2016	NUM
brj-23470	330	10	)	)	PUNCT
brj-23470	330	11	.	.	PUNCT
brj-23470	331	1	“	"	PUNCT
brj-23470	331	2	algae	algae	NOUN
brj-23470	331	3	as	as	ADP
brj-23470	331	4	an	an	DET
brj-23470	331	5	indicator	indicator	NOUN
brj-23470	331	6	of	of	ADP
brj-23470	331	7	water	water	NOUN
brj-23470	331	8	quality	quality	NOUN
brj-23470	331	9	,	,	PUNCT
brj-23470	331	10	”	"	PUNCT
brj-23470	331	11	in	in	ADP
brj-23470	331	12	:	:	PUNCT
brj-23470	331	13	algae	algae	NOUN
brj-23470	331	14	–	–	PUNCT
brj-23470	331	15	organisms	organism	NOUN
brj-23470	331	16	for	for	ADP
brj-23470	331	17	imminent	imminent	ADJ
brj-23470	331	18	biotechnology	biotechnology	NOUN
brj-23470	331	19	,	,	PUNCT
brj-23470	331	20	n.	n.	PROPN
brj-23470	331	21	thajuddin	thajuddin	PROPN
brj-23470	331	22	,	,	PUNCT
brj-23470	331	23	and	and	CCONJ
brj-23470	331	24	d.	d.	PROPN
brj-23470	331	25	dhanasekaran	dhanasekaran	PROPN
brj-23470	331	26	(	(	PUNCT
brj-23470	331	27	eds	ed	NOUN
brj-23470	331	28	)	)	PUNCT
brj-23470	331	29	,	,	PUNCT
brj-23470	331	30	intech	intech	PROPN
brj-23470	331	31	open	open	VERB
brj-23470	331	32	limited	limited	ADJ
brj-23470	331	33	,	,	PUNCT
brj-23470	331	34	london	london	PROPN
brj-23470	331	35	,	,	PUNCT
brj-23470	331	36	pp	pp	PROPN
brj-23470	331	37	.	.	PUNCT
brj-23470	332	1	81	81	NUM
brj-23470	332	2	-	-	SYM
brj-23470	332	3	101	101	NUM
brj-23470	332	4	.	.	PUNCT
brj-23470	333	1	doi	doi	NOUN
brj-23470	333	2	:	:	PUNCT
brj-23470	333	3	10.5772/62916	10.5772/62916	NUM
brj-23470	333	4	hamza	hamza	PROPN
brj-23470	333	5	,	,	PUNCT
brj-23470	333	6	n.	n.	PROPN
brj-23470	333	7	,	,	PUNCT
brj-23470	333	8	mostafa	mostafa	PROPN
brj-23470	333	9	,	,	PUNCT
brj-23470	333	10	l.	l.	PROPN
brj-23470	333	11	,	,	PUNCT
brj-23470	333	12	ghizlane	ghizlane	NOUN
brj-23470	333	13	,	,	PUNCT
brj-23470	333	14	a.	a.	NOUN
brj-23470	333	15	,	,	PUNCT
brj-23470	333	16	chaouki	chaouki	PROPN
brj-23470	333	17	,	,	PUNCT
brj-23470	333	18	b.	b.	PROPN
brj-23470	333	19	,	,	PUNCT
brj-23470	333	20	sara	sara	PROPN
brj-23470	333	21	,	,	PUNCT
brj-23470	333	22	e.	e.	PROPN
brj-23470	333	23	,	,	PUNCT
brj-23470	333	24	yassine	yassine	PROPN
brj-23470	333	25	,	,	PUNCT
brj-23470	333	26	e.	e.	PROPN
brj-23470	333	27	y.	y.	PROPN
brj-23470	333	28	,	,	PUNCT
brj-23470	333	29	hicham	hicham	PROPN
brj-23470	333	30	,	,	PUNCT
brj-23470	333	31	g.	g.	PROPN
brj-23470	333	32	,	,	PUNCT
brj-23470	333	33	abderrahmane	abderrahmane	PROPN
brj-23470	333	34	,	,	PUNCT
brj-23470	333	35	r.	r.	PROPN
brj-23470	333	36	,	,	PUNCT
brj-23470	333	37	hamza	hamza	PROPN
brj-23470	333	38	,	,	PUNCT
brj-23470	333	39	l.	l.	PROPN
brj-23470	333	40	,	,	PUNCT
brj-23470	333	41	and	and	CCONJ
brj-23470	333	42	abdelmajid	abdelmajid	PROPN
brj-23470	333	43	.	.	PUNCT
brj-23470	333	44	,	,	PUNCT
brj-23470	333	45	m.	m.	NOUN
brj-23470	333	46	(	(	PUNCT
brj-23470	333	47	2023	2023	NUM
brj-23470	333	48	)	)	PUNCT
brj-23470	333	49	.	.	PUNCT
brj-23470	334	1	“	"	PUNCT
brj-23470	334	2	application	application	NOUN
brj-23470	334	3	of	of	ADP
brj-23470	334	4	eutrophication	eutrophication	NOUN
brj-23470	334	5	indices	index	NOUN
brj-23470	334	6	for	for	ADP
brj-23470	334	7	assessment	assessment	NOUN
brj-23470	334	8	of	of	ADP
brj-23470	334	9	the	the	DET
brj-23470	334	10	ecological	ecological	ADJ
brj-23470	334	11	quality	quality	NOUN
brj-23470	334	12	of	of	ADP
brj-23470	334	13	the	the	DET
brj-23470	334	14	moroccan	moroccan	ADJ
brj-23470	334	15	eastern	eastern	PROPN
brj-23470	334	16	mediterranean	mediterranean	PROPN
brj-23470	334	17	coast	coast	PROPN
brj-23470	334	18	:	:	PUNCT
brj-23470	334	19	ras	ras	PROPN
brj-23470	334	20	kabdana	kabdana	PROPN
brj-23470	334	21	-	-	PUNCT
brj-23470	334	22	saïdia	saïdia	NOUN
brj-23470	334	23	.	.	PUNCT
brj-23470	335	1	e3s	e3s	PROPN
brj-23470	335	2	.	.	PUNCT
brj-23470	336	1	web	web	PROPN
brj-23470	336	2	.	.	PUNCT
brj-23470	337	1	cnf	cnf	PROPN
brj-23470	337	2	.	.	PROPN
brj-23470	337	3	364	364	NUM
brj-23470	337	4	,	,	PUNCT
brj-23470	337	5	9	9	NUM
brj-23470	337	6	.	.	X
brj-23470	337	7	doi	doi	NOUN
brj-23470	337	8	:	:	PUNCT
brj-23470	337	9	10.1051	10.1051	NUM
brj-23470	337	10	/	/	SYM
brj-23470	337	11	e3sconf/202336402008	e3sconf/202336402008	NOUN
brj-23470	337	12	han	han	PROPN
brj-23470	337	13	,	,	PUNCT
brj-23470	337	14	h.	h.	PROPN
brj-23470	337	15	,	,	PUNCT
brj-23470	337	16	l	l	PROPN
brj-23470	337	17	,	,	PUNCT
brj-23470	337	18	y.	y.	PROPN
brj-23470	337	19	,	,	PUNCT
brj-23470	337	20	ma	ma	PROPN
brj-23470	337	21	,	,	PUNCT
brj-23470	337	22	x.	x.	NOUN
brj-23470	337	23	,	,	PUNCT
brj-23470	337	24	song	song	NOUN
brj-23470	337	25	,	,	PUNCT
brj-23470	337	26	w.	w.	PROPN
brj-23470	337	27	,	,	PUNCT
brj-23470	337	28	wang	wang	PROPN
brj-23470	337	29	,	,	PUNCT
brj-23470	337	30	zl	zl	PROPN
brj-23470	337	31	.	.	PROPN
brj-23470	337	32	,	,	PUNCT
brj-23470	337	33	and	and	CCONJ
brj-23470	337	34	zhang	zhang	PROPN
brj-23470	337	35	,	,	PUNCT
brj-23470	337	36	x.	x.	NOUN
brj-23470	337	37	(	(	PUNCT
brj-23470	337	38	2022	2022	NUM
brj-23470	337	39	)	)	PUNCT
brj-23470	337	40	.	.	PUNCT
brj-23470	338	1	“	"	PUNCT
brj-23470	338	2	factors	factor	NOUN
brj-23470	338	3	influencing	influence	VERB
brj-23470	338	4	peer	peer	NOUN
brj-23470	338	5	-	-	PUNCT
brj-23470	338	6	reviewed	review	VERB
brj-23470	338	7	article	article	NOUN
brj-23470	338	8	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	338	9	zhang	zhang	PROPN
brj-23470	338	10	et	et	PROPN
brj-23470	338	11	al	al	PROPN
brj-23470	338	12	.	.	PROPN
brj-23470	339	1	(	(	PUNCT
brj-23470	339	2	2024	2024	NUM
brj-23470	339	3	)	)	PUNCT
brj-23470	339	4	.	.	PUNCT
brj-23470	340	1	“	"	PUNCT
brj-23470	340	2	activated	activate	VERB
brj-23470	340	3	carbon	carbon	NOUN
brj-23470	340	4	from	from	ADP
brj-23470	340	5	sludge	sludge	NOUN
brj-23470	340	6	,	,	PUNCT
brj-23470	340	7	”	"	PUNCT
brj-23470	340	8	bioresources	bioresource	NOUN
brj-23470	340	9	19(3	19(3	NUM
brj-23470	340	10	)	)	PUNCT
brj-23470	340	11	,	,	PUNCT
brj-23470	340	12	4941	4941	NUM
brj-23470	340	13	-	-	SYM
brj-23470	340	14	4959	4959	NUM
brj-23470	340	15	.	.	PUNCT
brj-23470	341	1	4957	4957	NUM
brj-23470	341	2	the	the	DET
brj-23470	341	3	spatial	spatial	ADJ
brj-23470	341	4	and	and	CCONJ
brj-23470	341	5	temporal	temporal	ADJ
brj-23470	341	6	distributions	distribution	NOUN
brj-23470	341	7	of	of	ADP
brj-23470	341	8	green	green	ADJ
brj-23470	341	9	algae	algae	NOUN
brj-23470	341	10	micro	micro	NOUN
brj-23470	341	11	-	-	NOUN
brj-23470	341	12	propagules	propagule	NOUN
brj-23470	341	13	in	in	ADP
brj-23470	341	14	the	the	DET
brj-23470	341	15	coastal	coastal	ADJ
brj-23470	341	16	waters	water	NOUN
brj-23470	341	17	of	of	ADP
brj-23470	341	18	jinmenghaiwan	jinmenghaiwan	NOUN
brj-23470	341	19	,	,	PUNCT
brj-23470	341	20	qinhuangdao	qinhuangdao	ADV
brj-23470	341	21	,	,	PUNCT
brj-23470	341	22	china	china	PROPN
brj-23470	341	23	,	,	PUNCT
brj-23470	341	24	”	"	PUNCT
brj-23470	341	25	mar	mar	PROPN
brj-23470	341	26	.	.	PROPN
brj-23470	341	27	pollut	pollut	PROPN
brj-23470	341	28	.	.	PUNCT
brj-23470	342	1	bull	bull	PROPN
brj-23470	342	2	.	.	PUNCT
brj-23470	343	1	175	175	NUM
brj-23470	343	2	,	,	PUNCT
brj-23470	343	3	article	article	NOUN
brj-23470	343	4	113328	113328	NUM
brj-23470	343	5	.	.	PUNCT
brj-23470	344	1	doi	doi	NOUN
brj-23470	344	2	:	:	PUNCT
brj-23470	344	3	10.1016	10.1016	NUM
brj-23470	344	4	/	/	SYM
brj-23470	344	5	j.marpolbul.2022.113328	j.marpolbul.2022.113328	PROPN
brj-23470	344	6	ibrahim	ibrahim	PROPN
brj-23470	344	7	,	,	PUNCT
brj-23470	344	8	a.	a.	PROPN
brj-23470	344	9	,	,	PUNCT
brj-23470	344	10	ismail	ismail	PROPN
brj-23470	344	11	,	,	PUNCT
brj-23470	344	12	a.	a.	PROPN
brj-23470	344	13	,	,	PUNCT
brj-23470	344	14	juahir	juahir	PROPN
brj-23470	344	15	,	,	PUNCT
brj-23470	344	16	h.	h.	PROPN
brj-23470	344	17	,	,	PUNCT
brj-23470	344	18	iliyasu	iliyasu	PROPN
brj-23470	344	19	,	,	PUNCT
brj-23470	344	20	a.	a.	PROPN
brj-23470	344	21	b.	b.	PROPN
brj-23470	344	22	,	,	PUNCT
brj-23470	344	23	wailare	wailare	PROPN
brj-23470	344	24	,	,	PUNCT
brj-23470	344	25	b.	b.	PROPN
brj-23470	344	26	t.	t.	PROPN
brj-23470	344	27	,	,	PUNCT
brj-23470	344	28	mukhtar	mukhtar	PROPN
brj-23470	344	29	,	,	PUNCT
brj-23470	344	30	m.	m.	NOUN
brj-23470	344	31	,	,	PUNCT
brj-23470	344	32	and	and	CCONJ
brj-23470	344	33	aminu	aminu	PROPN
brj-23470	344	34	,	,	PUNCT
brj-23470	344	35	h.	h.	PROPN
brj-23470	344	36	(	(	PUNCT
brj-23470	344	37	2023	2023	NUM
brj-23470	344	38	)	)	PUNCT
brj-23470	344	39	.	.	PUNCT
brj-23470	345	1	“	"	PUNCT
brj-23470	345	2	water	water	NOUN
brj-23470	345	3	quality	quality	NOUN
brj-23470	345	4	modelling	modelling	NOUN
brj-23470	345	5	using	use	VERB
brj-23470	345	6	principal	principal	ADJ
brj-23470	345	7	component	component	NOUN
brj-23470	345	8	analysis	analysis	NOUN
brj-23470	345	9	and	and	CCONJ
brj-23470	345	10	artificial	artificial	ADJ
brj-23470	345	11	neural	neural	ADJ
brj-23470	345	12	network	network	NOUN
brj-23470	345	13	,	,	PUNCT
brj-23470	345	14	”	"	PUNCT
brj-23470	345	15	mar	mar	PROPN
brj-23470	345	16	.	.	PROPN
brj-23470	345	17	pollut	pollut	PROPN
brj-23470	345	18	.	.	PUNCT
brj-23470	346	1	bull	bull	NOUN
brj-23470	346	2	.	.	PUNCT
brj-23470	347	1	187	187	NUM
brj-23470	347	2	,	,	PUNCT
brj-23470	347	3	article	article	NOUN
brj-23470	347	4	114493	114493	NUM
brj-23470	347	5	.	.	PUNCT
brj-23470	348	1	doi	doi	NOUN
brj-23470	348	2	:	:	PUNCT
brj-23470	348	3	10.1016	10.1016	NUM
brj-23470	348	4	/	/	SYM
brj-23470	348	5	j.marpolbul.2022.114493	j.marpolbul.2022.114493	PROPN
brj-23470	348	6	krom	krom	PROPN
brj-23470	348	7	,	,	PUNCT
brj-23470	348	8	m.	m.	PROPN
brj-23470	348	9	d.	d.	PROPN
brj-23470	348	10	,	,	PUNCT
brj-23470	348	11	kress	kress	PROPN
brj-23470	348	12	,	,	PUNCT
brj-23470	348	13	n.	n.	NOUN
brj-23470	348	14	,	,	PUNCT
brj-23470	348	15	brenner	brenner	PROPN
brj-23470	348	16	,	,	PUNCT
brj-23470	348	17	s.	s.	PROPN
brj-23470	348	18	,	,	PUNCT
brj-23470	348	19	gordon	gordon	PROPN
brj-23470	348	20	,	,	PUNCT
brj-23470	348	21	l.	l.	PROPN
brj-23470	348	22	i.	i.	PROPN
brj-23470	348	23	(	(	PUNCT
brj-23470	348	24	1991	1991	NUM
brj-23470	348	25	)	)	PUNCT
brj-23470	348	26	.	.	PUNCT
brj-23470	349	1	“	"	PUNCT
brj-23470	349	2	phosphorus	phosphorus	NOUN
brj-23470	349	3	limitation	limitation	NOUN
brj-23470	349	4	of	of	ADP
brj-23470	349	5	primary	primary	ADJ
brj-23470	349	6	productivity	productivity	NOUN
brj-23470	349	7	in	in	ADP
brj-23470	349	8	the	the	DET
brj-23470	349	9	eastern	eastern	PROPN
brj-23470	349	10	mediterranean	mediterranean	PROPN
brj-23470	349	11	sea	sea	PROPN
brj-23470	349	12	,	,	PUNCT
brj-23470	349	13	”	"	PUNCT
brj-23470	349	14	l&o	l&o	PROPN
brj-23470	349	15	36(3	36(3	NOUN
brj-23470	349	16	)	)	PUNCT
brj-23470	349	17	,	,	PUNCT
brj-23470	349	18	424	424	NUM
brj-23470	349	19	-	-	SYM
brj-23470	349	20	432	432	NUM
brj-23470	349	21	.	.	PUNCT
brj-23470	350	1	doi	doi	NOUN
brj-23470	350	2	:	:	PUNCT
brj-23470	350	3	10.4319	10.4319	NUM
brj-23470	350	4	/	/	SYM
brj-23470	350	5	lo.1991.36.3.0424	lo.1991.36.3.0424	PROPN
brj-23470	350	6	liu	liu	PROPN
brj-23470	350	7	yi	yi	PROPN
brj-23470	350	8	.	.	PUNCT
brj-23470	351	1	(	(	PUNCT
brj-23470	351	2	2019	2019	NUM
brj-23470	351	3	)	)	PUNCT
brj-23470	351	4	.	.	PUNCT
brj-23470	352	1	“	"	PUNCT
brj-23470	352	2	study	study	VERB
brj-23470	352	3	on	on	ADP
brj-23470	352	4	phosphorus	phosphorus	NOUN
brj-23470	352	5	morphology	morphology	NOUN
brj-23470	352	6	and	and	CCONJ
brj-23470	352	7	eutrophication	eutrophication	NOUN
brj-23470	352	8	in	in	ADP
brj-23470	352	9	the	the	DET
brj-23470	352	10	overlying	overlying	ADJ
brj-23470	352	11	water	water	NOUN
brj-23470	352	12	and	and	CCONJ
brj-23470	352	13	sediments	sediment	NOUN
brj-23470	352	14	of	of	ADP
brj-23470	352	15	jiuli	jiuli	PROPN
brj-23470	352	16	lake	lake	NOUN
brj-23470	352	17	,	,	PUNCT
brj-23470	352	18	”	"	PUNCT
brj-23470	352	19	ph.d	ph.d	PROPN
brj-23470	352	20	.	.	PUNCT
brj-23470	353	1	dissertation	dissertation	NOUN
brj-23470	353	2	,	,	PUNCT
brj-23470	353	3	chi	chi	NOUN
brj-23470	353	4	.	.	PUNCT
brj-23470	354	1	univer	univer	PROPN
brj-23470	354	2	.	.	PUNCT
brj-23470	355	1	min	min	PROPN
brj-23470	355	2	.	.	PROPN
brj-23470	355	3	tech	tech	NOUN
brj-23470	355	4	.	.	PUNCT
brj-23470	356	1	long	long	ADV
brj-23470	356	2	,	,	PUNCT
brj-23470	356	3	a.	a.	PROPN
brj-23470	356	4	,	,	PUNCT
brj-23470	356	5	chen	chen	PROPN
brj-23470	356	6	,	,	PUNCT
brj-23470	356	7	s.	s.	PROPN
brj-23470	356	8	,	,	PUNCT
brj-23470	356	9	zhou	zhou	PROPN
brj-23470	356	10	,	,	PUNCT
brj-23470	356	11	w.	w.	PROPN
brj-23470	356	12	,	,	PUNCT
brj-23470	356	13	xu	xu	PROPN
brj-23470	356	14	,	,	PUNCT
brj-23470	356	15	j.	j.	PROPN
brj-23470	356	16	,	,	PUNCT
brj-23470	356	17	shun	shun	PROPN
brj-23470	356	18	,	,	PUNCT
brj-23470	356	19	c.	c.	PROPN
brj-23470	356	20	,	,	PUNCT
brj-23470	356	21	zhang	zhang	PROPN
brj-23470	356	22	,	,	PUNCT
brj-23470	356	23	j.	j.	PROPN
brj-23470	356	24	,	,	PUNCT
brj-23470	356	25	and	and	CCONJ
brj-23470	356	26	xu	xu	PROPN
brj-23470	356	27	,	,	PUNCT
brj-23470	356	28	h.	h.	PROPN
brj-23470	356	29	2006	2006	NUM
brj-23470	356	30	.	.	PUNCT
brj-23470	357	1	“	"	PUNCT
brj-23470	357	2	distribution	distribution	NOUN
brj-23470	357	3	characteristics	characteristic	NOUN
brj-23470	357	4	and	and	CCONJ
brj-23470	357	5	interrelationships	interrelationship	NOUN
brj-23470	357	6	of	of	ADP
brj-23470	357	7	nutrients	nutrient	NOUN
brj-23470	357	8	,	,	PUNCT
brj-23470	357	9	dissolved	dissolve	VERB
brj-23470	357	10	oxygen	oxygen	NOUN
brj-23470	357	11	,	,	PUNCT
brj-23470	357	12	ph	ph	ADJ
brj-23470	357	13	values	value	NOUN
brj-23470	357	14	,	,	PUNCT
brj-23470	357	15	and	and	CCONJ
brj-23470	357	16	chlorophyll	chlorophyll	NOUN
brj-23470	357	17	in	in	ADP
brj-23470	357	18	the	the	DET
brj-23470	357	19	northern	northern	ADJ
brj-23470	357	20	south	south	PROPN
brj-23470	357	21	china	china	PROPN
brj-23470	357	22	sea	sea	PROPN
brj-23470	357	23	during	during	ADP
brj-23470	357	24	autumn	autumn	NOUN
brj-23470	357	25	,	,	PUNCT
brj-23470	357	26	”	"	PUNCT
brj-23470	357	27	ocean	ocean	NOUN
brj-23470	357	28	bull	bull	NOUN
brj-23470	357	29	.	.	PUNCT
brj-23470	358	1	25	25	NUM
brj-23470	358	2	,	,	PUNCT
brj-23470	358	3	9	9	NUM
brj-23470	358	4	-	-	SYM
brj-23470	358	5	16	16	NUM
brj-23470	358	6	.	.	PUNCT
brj-23470	359	1	doi	doi	NOUN
brj-23470	359	2	:	:	PUNCT
brj-23470	359	3	10.3969	10.3969	NUM
brj-23470	359	4	/	/	SYM
brj-23470	359	5	j.issn.1001	j.issn.1001	NOUN
brj-23470	359	6	-	-	PUNCT
brj-23470	359	7	6392.2006.05.002	6392.2006.05.002	PROPN
brj-23470	359	8	ma	ma	PROPN
brj-23470	359	9	,	,	PUNCT
brj-23470	359	10	j.	j.	PROPN
brj-23470	359	11	,	,	PUNCT
brj-23470	359	12	wu	wu	PROPN
brj-23470	359	13	,	,	PUNCT
brj-23470	359	14	z.	z.	PROPN
brj-23470	359	15	h.	h.	PROPN
brj-23470	359	16	,	,	PUNCT
brj-23470	359	17	zou	zou	PROPN
brj-23470	359	18	,	,	PUNCT
brj-23470	359	19	y.	y.	PROPN
brj-23470	359	20	j.	j.	PROPN
brj-23470	359	21	,	,	PUNCT
brj-23470	359	22	ren	ren	PROPN
brj-23470	359	23	,	,	PUNCT
brj-23470	359	24	p.	p.	NOUN
brj-23470	359	25	,	,	PUNCT
brj-23470	359	26	and	and	CCONJ
brj-23470	359	27	li	li	PROPN
brj-23470	359	28	,	,	PUNCT
brj-23470	359	29	q.	q.	PROPN
brj-23470	359	30	(	(	PUNCT
brj-23470	359	31	2021	2021	NUM
brj-23470	359	32	)	)	PUNCT
brj-23470	359	33	.	.	PUNCT
brj-23470	360	1	“	"	PUNCT
brj-23470	360	2	water	water	NOUN
brj-23470	360	3	quality	quality	NOUN
brj-23470	360	4	prediction	prediction	NOUN
brj-23470	360	5	of	of	ADP
brj-23470	360	6	nansi	nansi	PROPN
brj-23470	360	7	lake	lake	NOUN
brj-23470	360	8	based	base	VERB
brj-23470	360	9	on	on	ADP
brj-23470	360	10	grey	grey	PROPN
brj-23470	360	11	markov	markov	NOUN
brj-23470	360	12	model	model	NOUN
brj-23470	360	13	,	,	PUNCT
brj-23470	360	14	”	"	PUNCT
brj-23470	360	15	water	water	NOUN
brj-23470	360	16	.	.	PUNCT
brj-23470	361	1	resour	resour	NOUN
brj-23470	361	2	.	.	PUNCT
brj-23470	362	1	prot	prot	PROPN
brj-23470	362	2	.	.	PUNCT
brj-23470	363	1	37	37	NUM
brj-23470	363	2	,	,	PUNCT
brj-23470	363	3	153	153	NUM
brj-23470	363	4	-	-	SYM
brj-23470	363	5	158	158	NUM
brj-23470	363	6	.	.	PUNCT
brj-23470	364	1	doi	doi	NOUN
brj-23470	364	2	:	:	PUNCT
brj-23470	364	3	10.3880	10.3880	NUM
brj-23470	364	4	/	/	SYM
brj-23470	364	5	j.issn.1004	j.issn.1004	NOUN
brj-23470	364	6	-	-	PUNCT
brj-23470	364	7	6933.2021.05.023	6933.2021.05.023	NUM
brj-23470	364	8	martín	martín	NOUN
brj-23470	364	9	de	de	PROPN
brj-23470	364	10	la	la	PROPN
brj-23470	364	11	vega	vega	PROPN
brj-23470	364	12	,	,	PUNCT
brj-23470	364	13	p.	p.	PROPN
brj-23470	364	14	t.	t.	PROPN
brj-23470	364	15	,	,	PUNCT
brj-23470	364	16	martínez	martínez	PROPN
brj-23470	364	17	de	de	PROPN
brj-23470	364	18	salazar	salazar	PROPN
brj-23470	364	19	,	,	PUNCT
brj-23470	364	20	e.	e.	PROPN
brj-23470	364	21	,	,	PUNCT
brj-23470	364	22	jaramillo	jaramillo	PROPN
brj-23470	364	23	,	,	PUNCT
brj-23470	364	24	m.	m.	NOUN
brj-23470	364	25	a.	a.	NOUN
brj-23470	364	26	,	,	PUNCT
brj-23470	364	27	and	and	CCONJ
brj-23470	364	28	cros	cros	PROPN
brj-23470	364	29	,	,	PUNCT
brj-23470	364	30	j.	j.	PROPN
brj-23470	364	31	(	(	PUNCT
brj-23470	364	32	2012	2012	NUM
brj-23470	364	33	)	)	PUNCT
brj-23470	364	34	.	.	PUNCT
brj-23470	365	1	“	"	PUNCT
brj-23470	365	2	new	new	ADJ
brj-23470	365	3	contributions	contribution	NOUN
brj-23470	365	4	to	to	ADP
brj-23470	365	5	the	the	DET
brj-23470	365	6	orp	orp	PROPN
brj-23470	365	7	&	&	CCONJ
brj-23470	365	8	do	do	VERB
brj-23470	365	9	time	time	NOUN
brj-23470	365	10	profile	profile	VERB
brj-23470	365	11	characterization	characterization	NOUN
brj-23470	365	12	to	to	PART
brj-23470	365	13	improve	improve	VERB
brj-23470	365	14	biological	biological	ADJ
brj-23470	365	15	nutrient	nutrient	NOUN
brj-23470	365	16	removal	removal	NOUN
brj-23470	365	17	,	,	PUNCT
brj-23470	365	18	”	"	PUNCT
brj-23470	365	19	bioresource	bioresource	ADP
brj-23470	365	20	technol	technol	NOUN
brj-23470	365	21	.	.	PROPN
brj-23470	365	22	114	114	NUM
brj-23470	365	23	,	,	PUNCT
brj-23470	365	24	160	160	NUM
brj-23470	365	25	-	-	SYM
brj-23470	365	26	167	167	NUM
brj-23470	365	27	.	.	PUNCT
brj-23470	366	1	doi	doi	NOUN
brj-23470	366	2	:	:	PUNCT
brj-23470	366	3	10.1016	10.1016	NUM
brj-23470	366	4	/	/	SYM
brj-23470	366	5	j.biortech.2012.03.039	j.biortech.2012.03.039	PROPN
brj-23470	366	6	mehreen	mehreen	NOUN
brj-23470	366	7	,	,	PUNCT
brj-23470	366	8	a.	a.	NOUN
brj-23470	366	9	,	,	PUNCT
brj-23470	366	10	rafia	rafia	PROPN
brj-23470	366	11	,	,	PUNCT
brj-23470	366	12	m.	m.	NOUN
brj-23470	366	13	,	,	PUNCT
brj-23470	366	14	and	and	CCONJ
brj-23470	366	15	zahid	zahid	PROPN
brj-23470	366	16	,	,	PUNCT
brj-23470	366	17	a.	a.	NOUN
brj-23470	366	18	(	(	PUNCT
brj-23470	366	19	2022	2022	NUM
brj-23470	366	20	)	)	PUNCT
brj-23470	366	21	.	.	PUNCT
brj-23470	367	1	“	"	PUNCT
brj-23470	367	2	an	an	DET
brj-23470	367	3	enhanced	enhanced	ADJ
brj-23470	367	4	water	water	NOUN
brj-23470	367	5	quality	quality	NOUN
brj-23470	367	6	index	index	NOUN
brj-23470	367	7	for	for	ADP
brj-23470	367	8	water	water	NOUN
brj-23470	367	9	quality	quality	NOUN
brj-23470	367	10	monitoring	monitoring	NOUN
brj-23470	367	11	using	use	VERB
brj-23470	367	12	remote	remote	ADJ
brj-23470	367	13	sensing	sensing	NOUN
brj-23470	367	14	and	and	CCONJ
brj-23470	367	15	machine	machine	NOUN
brj-23470	367	16	learning	learning	NOUN
brj-23470	367	17	,	,	PUNCT
brj-23470	367	18	”	"	PUNCT
brj-23470	367	19	appl	appl	NOUN
brj-23470	367	20	.	.	PUNCT
brj-23470	368	1	sci	sci	PROPN
brj-23470	368	2	.	.	PROPN
brj-23470	368	3	12	12	NUM
brj-23470	368	4	,	,	PUNCT
brj-23470	368	5	article	article	NOUN
brj-23470	368	6	12787	12787	NUM
brj-23470	368	7	.	.	PUNCT
brj-23470	369	1	doi	doi	NOUN
brj-23470	369	2	:	:	PUNCT
brj-23470	369	3	10.3390	10.3390	NUM
brj-23470	369	4	/	/	SYM
brj-23470	369	5	app122412787	app122412787	PROPN
brj-23470	369	6	mishra	mishra	PROPN
brj-23470	369	7	,	,	PUNCT
brj-23470	369	8	a.	a.	NOUN
brj-23470	369	9	(	(	PUNCT
brj-23470	369	10	2010	2010	NUM
brj-23470	369	11	)	)	PUNCT
brj-23470	369	12	.	.	PUNCT
brj-23470	370	1	“	"	PUNCT
brj-23470	370	2	assessment	assessment	NOUN
brj-23470	370	3	of	of	ADP
brj-23470	370	4	water	water	NOUN
brj-23470	370	5	quality	quality	NOUN
brj-23470	370	6	using	use	VERB
brj-23470	370	7	principal	principal	ADJ
brj-23470	370	8	component	component	NOUN
brj-23470	370	9	analysis	analysis	NOUN
brj-23470	370	10	:	:	PUNCT
brj-23470	370	11	a	a	DET
brj-23470	370	12	case	case	NOUN
brj-23470	370	13	study	study	NOUN
brj-23470	370	14	of	of	ADP
brj-23470	370	15	the	the	DET
brj-23470	370	16	river	river	NOUN
brj-23470	370	17	ganges	gange	NOUN
brj-23470	370	18	,	,	PUNCT
brj-23470	370	19	”	"	PUNCT
brj-23470	370	20	j.	j.	PROPN
brj-23470	370	21	water	water	PROPN
brj-23470	370	22	.	.	PUNCT
brj-23470	371	1	chem	chem	PROPN
brj-23470	371	2	.	.	PUNCT
brj-23470	372	1	techno	techno	NOUN
brj-23470	372	2	.	.	PUNCT
brj-23470	373	1	32	32	NUM
brj-23470	373	2	,	,	PUNCT
brj-23470	373	3	227	227	NUM
brj-23470	373	4	-	-	SYM
brj-23470	373	5	234	234	NUM
brj-23470	373	6	.	.	PUNCT
brj-23470	373	7	doi	doi	NOUN
brj-23470	373	8	:	:	PUNCT
brj-23470	373	9	10.3103	10.3103	NUM
brj-23470	373	10	/	/	SYM
brj-23470	373	11	s1063455x10040077	s1063455x10040077	PROPN
brj-23470	373	12	nimisha	nimisha	PROPN
brj-23470	373	13	,	,	PUNCT
brj-23470	373	14	w.	w.	PROPN
brj-23470	373	15	,	,	PUNCT
brj-23470	373	16	dev	dev	PROPN
brj-23470	373	17	,	,	PUNCT
brj-23470	373	18	t.	t.	NOUN
brj-23470	373	19	a.	a.	NOUN
brj-23470	373	20	,	,	PUNCT
brj-23470	373	21	and	and	CCONJ
brj-23470	373	22	ha	ha	INTJ
brj-23470	373	23	,	,	PUNCT
brj-23470	373	24	d.	d.	PROPN
brj-23470	373	25	l.	l.	PROPN
brj-23470	373	26	(	(	PUNCT
brj-23470	373	27	2020	2020	NUM
brj-23470	373	28	)	)	PUNCT
brj-23470	373	29	.	.	PUNCT
brj-23470	374	1	“	"	PUNCT
brj-23470	374	2	comprehensive	comprehensive	ADJ
brj-23470	374	3	review	review	NOUN
brj-23470	374	4	on	on	ADP
brj-23470	374	5	application	application	NOUN
brj-23470	374	6	of	of	ADP
brj-23470	374	7	machine	machine	NOUN
brj-23470	374	8	learning	learn	VERB
brj-23470	374	9	algorithms	algorithm	NOUN
brj-23470	374	10	for	for	ADP
brj-23470	374	11	water	water	NOUN
brj-23470	374	12	quality	quality	NOUN
brj-23470	374	13	parameter	parameter	NOUN
brj-23470	374	14	estimation	estimation	NOUN
brj-23470	374	15	using	use	VERB
brj-23470	374	16	remote	remote	ADJ
brj-23470	374	17	sensing	sense	VERB
brj-23470	374	18	data	datum	NOUN
brj-23470	374	19	,	,	PUNCT
brj-23470	374	20	”	"	PUNCT
brj-23470	374	21	sensor	sensor	NOUN
brj-23470	374	22	.	.	PUNCT
brj-23470	375	1	mater	mater	NOUN
brj-23470	375	2	.	.	PUNCT
brj-23470	376	1	32	32	NUM
brj-23470	376	2	,	,	PUNCT
brj-23470	376	3	3879	3879	NUM
brj-23470	376	4	-	-	SYM
brj-23470	376	5	3892	3892	NUM
brj-23470	376	6	.	.	PUNCT
brj-23470	377	1	doi	doi	NOUN
brj-23470	377	2	:	:	PUNCT
brj-23470	377	3	10.18494	10.18494	NUM
brj-23470	377	4	/	/	SYM
brj-23470	377	5	sam.2020.2953	sam.2020.2953	NUM
brj-23470	377	6	prambudy	prambudy	NOUN
brj-23470	377	7	,	,	PUNCT
brj-23470	377	8	h.	h.	PROPN
brj-23470	377	9	,	,	PUNCT
brj-23470	377	10	supriyatin	supriyatin	PROPN
brj-23470	377	11	,	,	PUNCT
brj-23470	377	12	t.	t.	NOUN
brj-23470	377	13	,	,	PUNCT
brj-23470	377	14	and	and	CCONJ
brj-23470	377	15	setiawan	setiawan	PROPN
brj-23470	377	16	,	,	PUNCT
brj-23470	377	17	f.	f.	PROPN
brj-23470	377	18	(	(	PUNCT
brj-23470	377	19	2019	2019	NUM
brj-23470	377	20	)	)	PUNCT
brj-23470	377	21	.	.	PUNCT
brj-23470	378	1	“	"	PUNCT
brj-23470	378	2	the	the	DET
brj-23470	378	3	testing	testing	NOUN
brj-23470	378	4	of	of	ADP
brj-23470	378	5	chemical	chemical	ADJ
brj-23470	378	6	oxygen	oxygen	NOUN
brj-23470	378	7	demand	demand	NOUN
brj-23470	378	8	(	(	PUNCT
brj-23470	378	9	cod	cod	NOUN
brj-23470	378	10	)	)	PUNCT
brj-23470	378	11	and	and	CCONJ
brj-23470	378	12	biological	biological	ADJ
brj-23470	378	13	oxygen	oxygen	NOUN
brj-23470	378	14	demand	demand	NOUN
brj-23470	378	15	(	(	PUNCT
brj-23470	378	16	bod	bod	PROPN
brj-23470	378	17	)	)	PUNCT
brj-23470	378	18	of	of	ADP
brj-23470	378	19	river	river	NOUN
brj-23470	378	20	water	water	NOUN
brj-23470	378	21	in	in	ADP
brj-23470	378	22	cipager	cipager	NOUN
brj-23470	378	23	cirebon	cirebon	NOUN
brj-23470	378	24	,	,	PUNCT
brj-23470	378	25	”	"	PUNCT
brj-23470	378	26	j.	j.	PROPN
brj-23470	378	27	phs	phs	PROPN
brj-23470	378	28	.	.	PUNCT
brj-23470	379	1	cnf	cnf	PROPN
brj-23470	379	2	.	.	PUNCT
brj-23470	379	3	ser	ser	PROPN
brj-23470	379	4	.	.	PROPN
brj-23470	379	5	1360	1360	NUM
brj-23470	379	6	,	,	PUNCT
brj-23470	379	7	article	article	NOUN
brj-23470	379	8	012010	012010	NUM
brj-23470	379	9	.	.	PUNCT
brj-23470	380	1	doi	doi	NOUN
brj-23470	380	2	:	:	PUNCT
brj-23470	380	3	10.1088/17426596/1360/1/012010	10.1088/17426596/1360/1/012010	PROPN
brj-23470	380	4	roy	roy	PROPN
brj-23470	380	5	,	,	PUNCT
brj-23470	380	6	r.	r.	PROPN
brj-23470	380	7	,	,	PUNCT
brj-23470	380	8	and	and	CCONJ
brj-23470	380	9	majumder	majumder	NOUN
brj-23470	380	10	,	,	PUNCT
brj-23470	380	11	m.	m.	NOUN
brj-23470	380	12	(	(	PUNCT
brj-23470	380	13	2018	2018	NUM
brj-23470	380	14	)	)	PUNCT
brj-23470	380	15	.	.	PUNCT
brj-23470	381	1	“	"	PUNCT
brj-23470	381	2	a	a	DET
brj-23470	381	3	quick	quick	ADJ
brj-23470	381	4	prediction	prediction	NOUN
brj-23470	381	5	of	of	ADP
brj-23470	381	6	hardness	hardness	NOUN
brj-23470	381	7	from	from	ADP
brj-23470	381	8	water	water	NOUN
brj-23470	381	9	quality	quality	NOUN
brj-23470	381	10	parameters	parameter	NOUN
brj-23470	381	11	by	by	ADP
brj-23470	381	12	artificial	artificial	ADJ
brj-23470	381	13	neural	neural	ADJ
brj-23470	381	14	network	network	NOUN
brj-23470	381	15	,	,	PUNCT
brj-23470	381	16	”	"	PUNCT
brj-23470	381	17	int	int	NOUN
brj-23470	381	18	.	.	PUNCT
brj-23470	382	1	j.	j.	PROPN
brj-23470	382	2	enviro	enviro	PROPN
brj-23470	382	3	.	.	PUNCT
brj-23470	383	1	sustai	sustai	PROPN
brj-23470	383	2	.	.	PUNCT
brj-23470	384	1	17	17	NUM
brj-23470	384	2	,	,	PUNCT
brj-23470	384	3	247	247	NUM
brj-23470	384	4	-	-	SYM
brj-23470	384	5	257	257	NUM
brj-23470	384	6	.	.	PUNCT
brj-23470	385	1	doi	doi	NOUN
brj-23470	385	2	:	:	PUNCT
brj-23470	385	3	10.1504	10.1504	NUM
brj-23470	385	4	/	/	SYM
brj-23470	385	5	ijesd.2018.094037	ijesd.2018.094037	ADJ
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brj-23470	385	7	,	,	PUNCT
brj-23470	385	8	r.	r.	PROPN
brj-23470	385	9	g.	g.	PROPN
brj-23470	385	10	,	,	PUNCT
brj-23470	385	11	kumar	kumar	PROPN
brj-23470	385	12	,	,	PUNCT
brj-23470	385	13	g.	g.	PROPN
brj-23470	385	14	,	,	PUNCT
brj-23470	385	15	banu	banu	PROPN
brj-23470	385	16	,	,	PUNCT
brj-23470	385	17	r.	r.	PROPN
brj-23470	385	18	,	,	PUNCT
brj-23470	385	19	xia	xia	PROPN
brj-23470	385	20	,	,	PUNCT
brj-23470	385	21	a.	a.	NOUN
brj-23470	385	22	,	,	PUNCT
brj-23470	385	23	periyasamy	periyasamy	NOUN
brj-23470	385	24	,	,	PUNCT
brj-23470	385	25	s.	s.	PROPN
brj-23470	385	26	,	,	PUNCT
brj-23470	385	27	and	and	CCONJ
brj-23470	385	28	saratale	saratale	NOUN
brj-23470	385	29	,	,	PUNCT
brj-23470	385	30	g.	g.	PROPN
brj-23470	385	31	d.	d.	PROPN
brj-23470	385	32	(	(	PUNCT
brj-23470	385	33	2018	2018	NUM
brj-23470	385	34	)	)	PUNCT
brj-23470	385	35	.	.	PUNCT
brj-23470	386	1	“	"	PUNCT
brj-23470	386	2	a	a	DET
brj-23470	386	3	critical	critical	ADJ
brj-23470	386	4	review	review	NOUN
brj-23470	386	5	on	on	ADP
brj-23470	386	6	anaerobic	anaerobic	ADJ
brj-23470	386	7	digestion	digestion	NOUN
brj-23470	386	8	of	of	ADP
brj-23470	386	9	microalgae	microalgae	NOUN
brj-23470	386	10	and	and	CCONJ
brj-23470	386	11	macroalgae	macroalgae	NOUN
brj-23470	386	12	and	and	CCONJ
brj-23470	386	13	codigestion	codigestion	NOUN
brj-23470	386	14	of	of	ADP
brj-23470	386	15	biomass	biomass	NOUN
brj-23470	386	16	for	for	ADP
brj-23470	386	17	enhanced	enhanced	ADJ
brj-23470	386	18	methane	methane	NOUN
brj-23470	386	19	generation	generation	NOUN
brj-23470	386	20	,	,	PUNCT
brj-23470	386	21	”	"	PUNCT
brj-23470	386	22	bioresource	bioresource	ADP
brj-23470	386	23	technol	technol	NOUN
brj-23470	386	24	.	.	PROPN
brj-23470	387	1	262	262	NUM
brj-23470	387	2	,	,	PUNCT
brj-23470	387	3	319	319	NUM
brj-23470	387	4	-	-	SYM
brj-23470	387	5	332	332	NUM
brj-23470	387	6	.	.	PUNCT
brj-23470	388	1	doi	doi	NOUN
brj-23470	388	2	:	:	PUNCT
brj-23470	388	3	10.1016	10.1016	NUM
brj-23470	388	4	/	/	SYM
brj-23470	388	5	j.biortech.2018.03.030	j.biortech.2018.03.030	PROPN
brj-23470	388	6	shao	shao	PROPN
brj-23470	388	7	,	,	PUNCT
brj-23470	388	8	z.	z.	PROPN
brj-23470	388	9	,	,	PUNCT
brj-23470	388	10	lai	lai	PROPN
brj-23470	388	11	,	,	PUNCT
brj-23470	388	12	j.	j.	PROPN
brj-23470	388	13	,	,	PUNCT
brj-23470	388	14	yuan	yuan	PROPN
brj-23470	388	15	,	,	PUNCT
brj-23470	388	16	h.	h.	PROPN
brj-23470	388	17	,	,	PUNCT
brj-23470	388	18	zheng	zheng	PROPN
brj-23470	388	19	,	,	PUNCT
brj-23470	388	20	x.	x.	PROPN
brj-23470	388	21	,	,	PUNCT
brj-23470	388	22	jiang	jiang	PROPN
brj-23470	388	23	,	,	PUNCT
brj-23470	388	24	h.	h.	PROPN
brj-23470	388	25	,	,	PUNCT
brj-23470	388	26	wang	wang	PROPN
brj-23470	388	27	,	,	PUNCT
brj-23470	388	28	c.	c.	PROPN
brj-23470	388	29	,	,	PUNCT
brj-23470	388	30	huang	huang	PROPN
brj-23470	388	31	,	,	PUNCT
brj-23470	388	32	z.	z.	PROPN
brj-23470	388	33	,	,	PUNCT
brj-23470	388	34	wang	wang	PROPN
brj-23470	388	35	,	,	PUNCT
brj-23470	388	36	j.	j.	PROPN
brj-23470	388	37	,	,	PUNCT
brj-23470	388	38	wang	wang	PROPN
brj-23470	388	39	,	,	PUNCT
brj-23470	388	40	d.	d.	PROPN
brj-23470	388	41	,	,	PUNCT
brj-23470	388	42	and	and	CCONJ
brj-23470	388	43	xu	xu	PROPN
brj-23470	388	44	,	,	PUNCT
brj-23470	388	45	s.	s.	PROPN
brj-23470	388	46	(	(	PUNCT
brj-23470	388	47	2023	2023	NUM
brj-23470	388	48	)	)	PUNCT
brj-23470	388	49	.	.	PUNCT
brj-23470	389	1	“	"	PUNCT
brj-23470	389	2	analysis	analysis	NOUN
brj-23470	389	3	of	of	ADP
brj-23470	389	4	microbial	microbial	ADJ
brj-23470	389	5	community	community	NOUN
brj-23470	389	6	structure	structure	NOUN
brj-23470	389	7	changes	change	NOUN
brj-23470	389	8	in	in	ADP
brj-23470	389	9	different	different	ADJ
brj-23470	389	10	types	type	NOUN
brj-23470	389	11	of	of	ADP
brj-23470	389	12	eutrophication	eutrophication	NOUN
brj-23470	389	13	microwater	microwater	VERB
brj-23470	389	14	algal	algal	ADJ
brj-23470	389	15	bloom	bloom	NOUN
brj-23470	389	16	outbreaks	outbreak	NOUN
brj-23470	389	17	,	,	PUNCT
brj-23470	389	18	”	"	PUNCT
brj-23470	389	19	acta	acta	PROPN
brj-23470	389	20	scientiae	scientiae	NOUN
brj-23470	389	21	circumstantiae	circumstantiae	NOUN
brj-23470	389	22	43(03	43(03	PROPN
brj-23470	389	23	)	)	PUNCT
brj-23470	389	24	,	,	PUNCT
brj-23470	389	25	490	490	NUM
brj-23470	389	26	-	-	SYM
brj-23470	389	27	502	502	NUM
brj-23470	389	28	.	.	PUNCT
brj-23470	390	1	doi	doi	NOUN
brj-23470	390	2	:	:	PUNCT
brj-23470	390	3	10.13671	10.13671	NUM
brj-23470	390	4	/	/	SYM
brj-23470	390	5	j.hjkxxb.2022.0299	j.hjkxxb.2022.0299	PROPN
brj-23470	390	6	shlens	shlen	NOUN
brj-23470	390	7	,	,	PUNCT
brj-23470	390	8	j.	j.	PROPN
brj-23470	390	9	(	(	PUNCT
brj-23470	390	10	2014	2014	NUM
brj-23470	390	11	)	)	PUNCT
brj-23470	390	12	.	.	PUNCT
brj-23470	391	1	“	"	PUNCT
brj-23470	391	2	principal	principal	ADJ
brj-23470	391	3	component	component	NOUN
brj-23470	391	4	analysis	analysis	NOUN
brj-23470	391	5	:	:	PUNCT
brj-23470	391	6	a	a	DET
brj-23470	391	7	tutorial	tutorial	NOUN
brj-23470	391	8	,	,	PUNCT
brj-23470	391	9	”	"	PUNCT
brj-23470	391	10	neural	neural	ADJ
brj-23470	391	11	.	.	PUNCT
brj-23470	392	1	net	net	NOUN
brj-23470	392	2	.	.	PROPN
brj-23470	393	1	61	61	NUM
brj-23470	393	2	,	,	PUNCT
brj-23470	393	3	87	87	NUM
brj-23470	393	4	-	-	SYM
brj-23470	393	5	91	91	NUM
brj-23470	393	6	.	.	PUNCT
brj-23470	394	1	peer	peer	NOUN
brj-23470	394	2	-	-	PUNCT
brj-23470	394	3	reviewed	review	VERB
brj-23470	394	4	article	article	NOUN
brj-23470	394	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	394	6	zhang	zhang	PROPN
brj-23470	394	7	et	et	PROPN
brj-23470	394	8	al	al	PROPN
brj-23470	394	9	.	.	PROPN
brj-23470	395	1	(	(	PUNCT
brj-23470	395	2	2024	2024	NUM
brj-23470	395	3	)	)	PUNCT
brj-23470	395	4	.	.	PUNCT
brj-23470	396	1	“	"	PUNCT
brj-23470	396	2	activated	activate	VERB
brj-23470	396	3	carbon	carbon	NOUN
brj-23470	396	4	from	from	ADP
brj-23470	396	5	sludge	sludge	NOUN
brj-23470	396	6	,	,	PUNCT
brj-23470	396	7	”	"	PUNCT
brj-23470	396	8	bioresources	bioresource	NOUN
brj-23470	396	9	19(3	19(3	NUM
brj-23470	396	10	)	)	PUNCT
brj-23470	396	11	,	,	PUNCT
brj-23470	396	12	4941	4941	NUM
brj-23470	396	13	-	-	SYM
brj-23470	396	14	4959	4959	NUM
brj-23470	396	15	.	.	PUNCT
brj-23470	397	1	4958	4958	NUM
brj-23470	397	2	doi	doi	NOUN
brj-23470	397	3	:	:	PUNCT
brj-23470	397	4	10.1016	10.1016	NUM
brj-23470	397	5	/	/	SYM
brj-23470	397	6	j.neunet.2014.09.010	j.neunet.2014.09.010	PROPN
brj-23470	397	7	shroff	shroff	PROPN
brj-23470	397	8	,	,	PUNCT
brj-23470	397	9	p.	p.	PROPN
brj-23470	397	10	,	,	PUNCT
brj-23470	397	11	vashi	vashi	PROPN
brj-23470	397	12	,	,	PUNCT
brj-23470	397	13	r.	r.	PROPN
brj-23470	397	14	t.	t.	PROPN
brj-23470	397	15	,	,	PUNCT
brj-23470	397	16	champaneri	champaneri	PROPN
brj-23470	397	17	,	,	PUNCT
brj-23470	397	18	v.	v.	ADP
brj-23470	397	19	a.	a.	NOUN
brj-23470	397	20	,	,	PUNCT
brj-23470	397	21	and	and	CCONJ
brj-23470	397	22	patel	patel	PROPN
brj-23470	397	23	,	,	PUNCT
brj-23470	397	24	k.	k.	PROPN
brj-23470	397	25	k.	k.	PROPN
brj-23470	398	1	(	(	PUNCT
brj-23470	398	2	2015	2015	NUM
brj-23470	398	3	)	)	PUNCT
brj-23470	398	4	.	.	PUNCT
brj-23470	399	1	“	"	PUNCT
brj-23470	399	2	correlation	correlation	NOUN
brj-23470	399	3	study	study	NOUN
brj-23470	399	4	among	among	ADP
brj-23470	399	5	water	water	NOUN
brj-23470	399	6	quality	quality	NOUN
brj-23470	399	7	parameters	parameter	NOUN
brj-23470	399	8	of	of	ADP
brj-23470	399	9	groundwater	groundwater	NOUN
brj-23470	399	10	of	of	ADP
brj-23470	399	11	valsad	valsad	ADJ
brj-23470	399	12	district	district	NOUN
brj-23470	399	13	of	of	ADP
brj-23470	399	14	south	south	PROPN
brj-23470	399	15	gujarat	gujarat	PROPN
brj-23470	399	16	(	(	PUNCT
brj-23470	399	17	india	india	PROPN
brj-23470	399	18	)	)	PUNCT
brj-23470	399	19	,	,	PUNCT
brj-23470	399	20	”	"	PUNCT
brj-23470	399	21	journal	journal	NOUN
brj-23470	399	22	.	.	PUNCT
brj-23470	400	1	funda	funda	PROPN
brj-23470	400	2	.	.	PUNCT
brj-23470	400	3	appl	appl	PROPN
brj-23470	400	4	.	.	PUNCT
brj-23470	401	1	sci	sci	PROPN
brj-23470	401	2	.	.	PROPN
brj-23470	402	1	7	7	NUM
brj-23470	402	2	,	,	PUNCT
brj-23470	402	3	340	340	NUM
brj-23470	402	4	-	-	SYM
brj-23470	402	5	349	349	NUM
brj-23470	402	6	.	.	PUNCT
brj-23470	403	1	doi	doi	NOUN
brj-23470	403	2	:	:	PUNCT
brj-23470	403	3	10.4314	10.4314	NUM
brj-23470	403	4	/	/	SYM
brj-23470	403	5	jfas.v7i3.3	jfas.v7i3.3	ADJ
brj-23470	403	6	song	song	NOUN
brj-23470	403	7	,	,	PUNCT
brj-23470	403	8	c.	c.	NOUN
brj-23470	403	9	,	,	PUNCT
brj-23470	403	10	and	and	CCONJ
brj-23470	403	11	yao	yao	PROPN
brj-23470	403	12	,	,	PUNCT
brj-23470	403	13	l.	l.	PROPN
brj-23470	403	14	(	(	PUNCT
brj-23470	403	15	2022	2022	NUM
brj-23470	403	16	)	)	PUNCT
brj-23470	403	17	.	.	PUNCT
brj-23470	404	1	“	"	PUNCT
brj-23470	404	2	a	a	DET
brj-23470	404	3	hybrid	hybrid	ADJ
brj-23470	404	4	model	model	NOUN
brj-23470	404	5	for	for	ADP
brj-23470	404	6	water	water	NOUN
brj-23470	404	7	quality	quality	NOUN
brj-23470	404	8	parameter	parameter	NOUN
brj-23470	404	9	prediction	prediction	NOUN
brj-23470	404	10	based	base	VERB
brj-23470	404	11	on	on	ADP
brj-23470	404	12	ceemdan	ceemdan	ADJ
brj-23470	404	13	-	-	PUNCT
brj-23470	404	14	ialo	ialo	NOUN
brj-23470	404	15	-	-	PUNCT
brj-23470	404	16	lstm	lstm	NOUN
brj-23470	404	17	ensemble	ensemble	ADJ
brj-23470	404	18	learning	learning	NOUN
brj-23470	404	19	,	,	PUNCT
brj-23470	404	20	”	"	PUNCT
brj-23470	404	21	environ	environ	X
brj-23470	404	22	.	.	PUNCT
brj-23470	404	23	earth	earth	NOUN
brj-23470	404	24	.	.	PUNCT
brj-23470	405	1	sci	sci	PROPN
brj-23470	405	2	.	.	PROPN
brj-23470	405	3	81	81	NUM
brj-23470	405	4	,	,	PUNCT
brj-23470	405	5	article	article	NOUN
brj-23470	405	6	262	262	NUM
brj-23470	405	7	.	.	PUNCT
brj-23470	405	8	doi	doi	NOUN
brj-23470	405	9	:	:	PUNCT
brj-23470	405	10	10.1007	10.1007	NUM
brj-23470	405	11	/	/	SYM
brj-23470	405	12	s12665	s12665	NOUN
brj-23470	405	13	-	-	PUNCT
brj-23470	405	14	022	022	NUM
brj-23470	405	15	-	-	PUNCT
brj-23470	405	16	10380	10380	NUM
brj-23470	405	17	-	-	PUNCT
brj-23470	405	18	2	2	NUM
brj-23470	405	19	touchette	touchette	NOUN
brj-23470	405	20	,	,	PUNCT
brj-23470	405	21	b.	b.	PROPN
brj-23470	405	22	w.	w.	PROPN
brj-23470	405	23	,	,	PUNCT
brj-23470	405	24	burkholder	burkholder	NOUN
brj-23470	405	25	,	,	PUNCT
brj-23470	405	26	j.	j.	PROPN
brj-23470	405	27	a.	a.	PROPN
brj-23470	405	28	m.	m.	PROPN
brj-23470	405	29	,	,	PUNCT
brj-23470	405	30	allen	allen	PROPN
brj-23470	405	31	,	,	PUNCT
brj-23470	405	32	e.	e.	PROPN
brj-23470	405	33	h.	h.	PROPN
brj-23470	405	34	,	,	PUNCT
brj-23470	405	35	alexander	alexander	PROPN
brj-23470	405	36	,	,	PUNCT
brj-23470	405	37	j.	j.	PROPN
brj-23470	405	38	l.	l.	PROPN
brj-23470	405	39	,	,	PUNCT
brj-23470	405	40	kinder	kind	ADJ
brj-23470	405	41	,	,	PUNCT
brj-23470	405	42	c.	c.	PROPN
brj-23470	405	43	a.	a.	PROPN
brj-23470	405	44	,	,	PUNCT
brj-23470	405	45	brownie	brownie	NOUN
brj-23470	405	46	,	,	PUNCT
brj-23470	405	47	c.	c.	PROPN
brj-23470	405	48	,	,	PUNCT
brj-23470	405	49	james	james	PROPN
brj-23470	405	50	,	,	PUNCT
brj-23470	405	51	j.	j.	PROPN
brj-23470	405	52	,	,	PUNCT
brj-23470	405	53	and	and	CCONJ
brj-23470	405	54	britton	britton	PROPN
brj-23470	405	55	,	,	PUNCT
brj-23470	405	56	c.	c.	PROPN
brj-23470	405	57	h.	h.	PROPN
brj-23470	406	1	(	(	PUNCT
brj-23470	406	2	2007	2007	NUM
brj-23470	406	3	)	)	PUNCT
brj-23470	406	4	.	.	PUNCT
brj-23470	407	1	“	"	PUNCT
brj-23470	407	2	eutrophication	eutrophication	NOUN
brj-23470	407	3	and	and	CCONJ
brj-23470	407	4	cyanobacteria	cyanobacteria	NOUN
brj-23470	407	5	blooms	bloom	NOUN
brj-23470	407	6	in	in	ADP
brj-23470	407	7	run	run	NOUN
brj-23470	407	8	-	-	PUNCT
brj-23470	407	9	of	of	ADP
brj-23470	407	10	-	-	PUNCT
brj-23470	407	11	river	river	NOUN
brj-23470	407	12	impoundments	impoundment	NOUN
brj-23470	407	13	in	in	ADP
brj-23470	407	14	north	north	PROPN
brj-23470	407	15	carolina	carolina	PROPN
brj-23470	407	16	,	,	PUNCT
brj-23470	407	17	usa	usa	PROPN
brj-23470	407	18	,	,	PUNCT
brj-23470	407	19	”	"	PUNCT
brj-23470	407	20	lake	lake	NOUN
brj-23470	407	21	and	and	CCONJ
brj-23470	407	22	reservoir	reservoir	PROPN
brj-23470	407	23	management	management	NOUN
brj-23470	407	24	23(2	23(2	PROPN
brj-23470	407	25	)	)	PUNCT
brj-23470	407	26	,	,	PUNCT
brj-23470	407	27	179	179	NUM
brj-23470	407	28	-	-	SYM
brj-23470	407	29	192	192	NUM
brj-23470	407	30	.	.	PUNCT
brj-23470	408	1	wang	wang	PROPN
brj-23470	408	2	,	,	PUNCT
brj-23470	408	3	j.	j.	PROPN
brj-23470	408	4	,	,	PUNCT
brj-23470	408	5	zhang	zhang	PROPN
brj-23470	408	6	,	,	PUNCT
brj-23470	408	7	l.	l.	PROPN
brj-23470	408	8	,	,	PUNCT
brj-23470	408	9	zhang	zhang	PROPN
brj-23470	408	10	,	,	PUNCT
brj-23470	408	11	w.	w.	PROPN
brj-23470	408	12	,	,	PUNCT
brj-23470	408	13	and	and	CCONJ
brj-23470	408	14	wang	wang	PROPN
brj-23470	408	15	,	,	PUNCT
brj-23470	408	16	x.	x.	NOUN
brj-23470	408	17	(	(	PUNCT
brj-23470	408	18	2019	2019	NUM
brj-23470	408	19	)	)	PUNCT
brj-23470	408	20	.	.	PUNCT
brj-23470	409	1	“	"	PUNCT
brj-23470	409	2	reliable	reliable	ADJ
brj-23470	409	3	model	model	NOUN
brj-23470	409	4	of	of	ADP
brj-23470	409	5	reservoir	reservoir	PROPN
brj-23470	409	6	water	water	NOUN
brj-23470	409	7	quality	quality	NOUN
brj-23470	409	8	prediction	prediction	NOUN
brj-23470	409	9	based	base	VERB
brj-23470	409	10	on	on	ADP
brj-23470	409	11	improved	improved	ADJ
brj-23470	409	12	arima	arima	NOUN
brj-23470	409	13	method	method	NOUN
brj-23470	409	14	,	,	PUNCT
brj-23470	409	15	”	"	PUNCT
brj-23470	409	16	environ	environ	X
brj-23470	409	17	.	.	PUNCT
brj-23470	410	1	eng	eng	PROPN
brj-23470	410	2	.	.	PUNCT
brj-23470	411	1	sci	sci	PROPN
brj-23470	411	2	.	.	PROPN
brj-23470	411	3	36	36	NUM
brj-23470	411	4	,	,	PUNCT
brj-23470	411	5	1041	1041	NUM
brj-23470	411	6	-	-	SYM
brj-23470	411	7	1048	1048	NUM
brj-23470	411	8	.	.	PUNCT
brj-23470	412	1	doi	doi	NOUN
brj-23470	412	2	:	:	PUNCT
brj-23470	412	3	10.1089	10.1089	NUM
brj-23470	412	4	/	/	SYM
brj-23470	412	5	ees.2018.0279	ees.2018.0279	PROPN
brj-23470	412	6	wang	wang	PROPN
brj-23470	412	7	,	,	PUNCT
brj-23470	412	8	j.	j.	PROPN
brj-23470	412	9	,	,	PUNCT
brj-23470	412	10	zhang	zhang	PROPN
brj-23470	412	11	,	,	PUNCT
brj-23470	412	12	w.	w.	PROPN
brj-23470	412	13	,	,	PUNCT
brj-23470	412	14	guo	guo	PROPN
brj-23470	412	15	,	,	PUNCT
brj-23470	412	16	d.	d.	PROPN
brj-23470	412	17	,	,	PUNCT
brj-23470	412	18	and	and	CCONJ
brj-23470	412	19	pei	pei	PROPN
brj-23470	412	20	,	,	PUNCT
brj-23470	412	21	y.	y.	PROPN
brj-23470	412	22	(	(	PUNCT
brj-23470	412	23	2018	2018	NUM
brj-23470	412	24	)	)	PUNCT
brj-23470	412	25	.	.	PUNCT
brj-23470	413	1	“	"	PUNCT
brj-23470	413	2	an	an	DET
brj-23470	413	3	intelligent	intelligent	ADJ
brj-23470	413	4	predicating	predicating	ADJ
brj-23470	413	5	algorithm	algorithm	NOUN
brj-23470	413	6	for	for	ADP
brj-23470	413	7	air	air	NOUN
brj-23470	413	8	temperature	temperature	NOUN
brj-23470	413	9	-	-	PUNCT
brj-23470	413	10	water	water	NOUN
brj-23470	413	11	temperature	temperature	NOUN
brj-23470	413	12	-	-	PUNCT
brj-23470	413	13	water	water	NOUN
brj-23470	413	14	quality	quality	NOUN
brj-23470	413	15	relationship	relationship	NOUN
brj-23470	413	16	in	in	ADP
brj-23470	413	17	water	water	NOUN
brj-23470	413	18	source	source	NOUN
brj-23470	413	19	,	,	PUNCT
brj-23470	413	20	”	"	PUNCT
brj-23470	413	21	admn	admn	NOUN
brj-23470	413	22	.	.	PUNCT
brj-23470	414	1	tecnol	tecnol	PROPN
brj-23470	414	2	.	.	PUNCT
brj-23470	415	1	environ	environ	PROPN
brj-23470	415	2	.	.	PUNCT
brj-23470	415	3	monitor	monitor	PROPN
brj-23470	415	4	.	.	PUNCT
brj-23470	416	1	30	30	NUM
brj-23470	416	2	,	,	PUNCT
brj-23470	416	3	15	15	NUM
brj-23470	416	4	-	-	SYM
brj-23470	416	5	19	19	NUM
brj-23470	416	6	+	+	NOUN
brj-23470	416	7	55	55	NUM
brj-23470	416	8	.	.	PUNCT
brj-23470	417	1	doi	doi	NOUN
brj-23470	417	2	:	:	PUNCT
brj-23470	417	3	10.19501	10.19501	NUM
brj-23470	417	4	/	/	SYM
brj-23470	417	5	j.cnki.10062009.20180912.005	j.cnki.10062009.20180912.005	PRON
brj-23470	417	6	wang	wang	PROPN
brj-23470	417	7	,	,	PUNCT
brj-23470	417	8	x.	x.	PROPN
brj-23470	417	9	,	,	PUNCT
brj-23470	417	10	li	li	PROPN
brj-23470	417	11	,	,	PUNCT
brj-23470	417	12	j.	j.	PROPN
brj-23470	417	13	,	,	PUNCT
brj-23470	417	14	chen	chen	PROPN
brj-23470	417	15	,	,	PUNCT
brj-23470	417	16	j.	j.	PROPN
brj-23470	417	17	,	,	PUNCT
brj-23470	417	18	cui	cui	PROPN
brj-23470	417	19	,	,	PUNCT
brj-23470	417	20	l.	l.	PROPN
brj-23470	417	21	,	,	PUNCT
brj-23470	417	22	li	li	PROPN
brj-23470	417	23	,	,	PUNCT
brj-23470	417	24	w.	w.	PROPN
brj-23470	417	25	,	,	PUNCT
brj-23470	417	26	gao	gao	PROPN
brj-23470	417	27	,	,	PUNCT
brj-23470	417	28	x.	x.	NOUN
brj-23470	417	29	,	,	PUNCT
brj-23470	417	30	and	and	CCONJ
brj-23470	417	31	liu	liu	PROPN
brj-23470	417	32	,	,	PUNCT
brj-23470	417	33	z.	z.	PROPN
brj-23470	417	34	(	(	PUNCT
brj-23470	417	35	2020	2020	NUM
brj-23470	417	36	)	)	PUNCT
brj-23470	417	37	.	.	PUNCT
brj-23470	418	1	“	"	PUNCT
brj-23470	418	2	water	water	NOUN
brj-23470	418	3	quality	quality	NOUN
brj-23470	418	4	criteria	criterion	NOUN
brj-23470	418	5	of	of	ADP
brj-23470	418	6	total	total	ADJ
brj-23470	418	7	ammonia	ammonia	NOUN
brj-23470	418	8	nitrogen	nitrogen	NOUN
brj-23470	418	9	(	(	PUNCT
brj-23470	418	10	tan	tan	PROPN
brj-23470	418	11	)	)	PUNCT
brj-23470	418	12	and	and	CCONJ
brj-23470	418	13	un	un	ADJ
brj-23470	418	14	-	-	ADJ
brj-23470	418	15	ionized	ionized	ADJ
brj-23470	418	16	ammonia	ammonia	NOUN
brj-23470	418	17	(	(	PUNCT
brj-23470	418	18	nh3	nh3	NOUN
brj-23470	418	19	-	-	PUNCT
brj-23470	418	20	n	n	CCONJ
brj-23470	418	21	)	)	PUNCT
brj-23470	418	22	and	and	CCONJ
brj-23470	418	23	their	their	PRON
brj-23470	418	24	ecological	ecological	ADJ
brj-23470	418	25	risk	risk	NOUN
brj-23470	418	26	in	in	ADP
brj-23470	418	27	the	the	DET
brj-23470	418	28	liao	liao	PROPN
brj-23470	418	29	river	river	PROPN
brj-23470	418	30	,	,	PUNCT
brj-23470	418	31	china	china	PROPN
brj-23470	418	32	,	,	PUNCT
brj-23470	418	33	”	"	PUNCT
brj-23470	418	34	chemosphere	chemosphere	VERB
brj-23470	418	35	243	243	NUM
brj-23470	418	36	,	,	PUNCT
brj-23470	418	37	article	article	NOUN
brj-23470	418	38	125328	125328	NUM
brj-23470	418	39	.	.	PUNCT
brj-23470	419	1	doi	doi	NOUN
brj-23470	419	2	:	:	PUNCT
brj-23470	419	3	10.1016	10.1016	NUM
brj-23470	419	4	/	/	SYM
brj-23470	419	5	j.chemosphere.2019.125328	j.chemosphere.2019.125328	PROPN
brj-23470	419	6	wang	wang	PROPN
brj-23470	419	7	,	,	PUNCT
brj-23470	419	8	x.	x.	PROPN
brj-23470	419	9	,	,	PUNCT
brj-23470	419	10	wu	wu	PROPN
brj-23470	419	11	,	,	PUNCT
brj-23470	419	12	y.	y.	PROPN
brj-23470	419	13	,	,	PUNCT
brj-23470	419	14	chen	chen	PROPN
brj-23470	419	15	,	,	PUNCT
brj-23470	419	16	n.	n.	PROPN
brj-23470	419	17	,	,	PUNCT
brj-23470	419	18	piao	piao	NOUN
brj-23470	419	19	,	,	PUNCT
brj-23470	419	20	h.	h.	PROPN
brj-23470	419	21	,	,	PUNCT
brj-23470	419	22	sun	sun	PROPN
brj-23470	419	23	,	,	PUNCT
brj-23470	419	24	d.	d.	PROPN
brj-23470	419	25	,	,	PUNCT
brj-23470	419	26	ratnaweera	ratnaweera	PROPN
brj-23470	419	27	,	,	PUNCT
brj-23470	419	28	h.	h.	PROPN
brj-23470	419	29	,	,	PUNCT
brj-23470	419	30	maletskyi	maletskyi	NOUN
brj-23470	419	31	,	,	PUNCT
brj-23470	419	32	z.	z.	PROPN
brj-23470	419	33	,	,	PUNCT
brj-23470	419	34	and	and	CCONJ
brj-23470	419	35	bi	bi	NOUN
brj-23470	419	36	,	,	PUNCT
brj-23470	419	37	x.	x.	NOUN
brj-23470	419	38	(	(	PUNCT
brj-23470	419	39	2022	2022	NUM
brj-23470	419	40	)	)	PUNCT
brj-23470	419	41	.	.	PUNCT
brj-23470	420	1	“	"	PUNCT
brj-23470	420	2	characterization	characterization	NOUN
brj-23470	420	3	of	of	ADP
brj-23470	420	4	oxidation	oxidation	NOUN
brj-23470	420	5	-	-	PUNCT
brj-23470	420	6	reduction	reduction	NOUN
brj-23470	420	7	potential	potential	ADJ
brj-23470	420	8	variations	variation	NOUN
brj-23470	420	9	in	in	ADP
brj-23470	420	10	biological	biological	ADJ
brj-23470	420	11	wastewater	wastewater	NOUN
brj-23470	420	12	treatment	treatment	NOUN
brj-23470	420	13	processes	process	NOUN
brj-23470	420	14	:	:	PUNCT
brj-23470	420	15	a	a	DET
brj-23470	420	16	study	study	NOUN
brj-23470	420	17	from	from	ADP
brj-23470	420	18	mechanism	mechanism	NOUN
brj-23470	420	19	to	to	ADP
brj-23470	420	20	application	application	NOUN
brj-23470	420	21	,	,	PUNCT
brj-23470	420	22	”	"	PUNCT
brj-23470	420	23	processes	process	VERB
brj-23470	420	24	10	10	NUM
brj-23470	420	25	,	,	PUNCT
brj-23470	420	26	article	article	NOUN
brj-23470	420	27	2607	2607	NUM
brj-23470	420	28	.	.	PUNCT
brj-23470	421	1	doi	doi	NOUN
brj-23470	421	2	:	:	PUNCT
brj-23470	421	3	10.3390	10.3390	NUM
brj-23470	421	4	/	/	SYM
brj-23470	421	5	pr10122607	pr10122607	PROPN
brj-23470	421	6	wu	wu	PROPN
brj-23470	421	7	,	,	PUNCT
brj-23470	421	8	t.	t.	PROPN
brj-23470	421	9	t.	t.	PROPN
brj-23470	421	10	,	,	PUNCT
brj-23470	421	11	liu	liu	PROPN
brj-23470	421	12	,	,	PUNCT
brj-23470	421	13	g.	g.	PROPN
brj-23470	421	14	,	,	PUNCT
brj-23470	421	15	han	han	PROPN
brj-23470	421	16	,	,	PUNCT
brj-23470	421	17	s.	s.	PROPN
brj-23470	421	18	q.	q.	PROPN
brj-23470	421	19	,	,	PUNCT
brj-23470	421	20	zhou	zhou	PROPN
brj-23470	421	21	,	,	PUNCT
brj-23470	421	22	q.	q.	PROPN
brj-23470	421	23	,	,	PUNCT
brj-23470	421	24	and	and	CCONJ
brj-23470	421	25	tang	tang	PROPN
brj-23470	421	26	,	,	PUNCT
brj-23470	421	27	w.	w.	PROPN
brj-23470	421	28	y.	y.	PROPN
brj-23470	421	29	(	(	PUNCT
brj-23470	421	30	2015	2015	NUM
brj-23470	421	31	)	)	PUNCT
brj-23470	421	32	.	.	PUNCT
brj-23470	422	1	“	"	PUNCT
brj-23470	422	2	impacts	impact	NOUN
brj-23470	422	3	of	of	ADP
brj-23470	422	4	algal	algal	ADJ
brj-23470	422	5	blooms	bloom	NOUN
brj-23470	422	6	accumulation	accumulation	NOUN
brj-23470	422	7	on	on	ADP
brj-23470	422	8	physiological	physiological	ADJ
brj-23470	422	9	ecology	ecology	NOUN
brj-23470	422	10	of	of	ADP
brj-23470	422	11	water	water	NOUN
brj-23470	422	12	hyacinth	hyacinth	NOUN
brj-23470	422	13	,	,	PUNCT
brj-23470	422	14	”	"	PUNCT
brj-23470	422	15	environ	environ	PROPN
brj-23470	422	16	.	.	PUNCT
brj-23470	423	1	sci	sci	PROPN
brj-23470	423	2	.	.	PROPN
brj-23470	423	3	36	36	NUM
brj-23470	423	4	,	,	PUNCT
brj-23470	423	5	114	114	NUM
brj-23470	423	6	-	-	SYM
brj-23470	423	7	120	120	NUM
brj-23470	423	8	.	.	PUNCT
brj-23470	423	9	doi	doi	NOUN
brj-23470	423	10	:	:	PUNCT
brj-23470	423	11	10.13227	10.13227	NUM
brj-23470	423	12	/	/	SYM
brj-23470	423	13	j.hjkx.2015.01.015	j.hjkx.2015.01.015	PROPN
brj-23470	423	14	yang	yang	PROPN
brj-23470	423	15	,	,	PUNCT
brj-23470	423	16	m.	m.	NOUN
brj-23470	423	17	,	,	PUNCT
brj-23470	423	18	xia	xia	PROPN
brj-23470	423	19	,	,	PUNCT
brj-23470	423	20	j.	j.	PROPN
brj-23470	423	21	,	,	PUNCT
brj-23470	423	22	cai	cai	PROPN
brj-23470	423	23	,	,	PUNCT
brj-23470	423	24	w.	w.	PROPN
brj-23470	423	25	,	,	PUNCT
brj-23470	423	26	yang	yang	PROPN
brj-23470	423	27	,	,	PUNCT
brj-23470	423	28	l.	l.	PROPN
brj-23470	423	29	,	,	PUNCT
brj-23470	423	30	zhu	zhu	PROPN
brj-23470	423	31	,	,	PUNCT
brj-23470	423	32	x.	x.	PROPN
brj-23470	423	33	,	,	PUNCT
brj-23470	423	34	li	li	PROPN
brj-23470	423	35	,	,	PUNCT
brj-23470	423	36	c.	c.	PROPN
brj-23470	423	37	(	(	PUNCT
brj-23470	423	38	2022	2022	NUM
brj-23470	423	39	)	)	PUNCT
brj-23470	423	40	.	.	PUNCT
brj-23470	424	1	“	"	PUNCT
brj-23470	424	2	distribution	distribution	NOUN
brj-23470	424	3	of	of	ADP
brj-23470	424	4	phytoplankton	phytoplankton	NOUN
brj-23470	424	5	functional	functional	ADJ
brj-23470	424	6	groups	group	NOUN
brj-23470	424	7	in	in	ADP
brj-23470	424	8	a	a	DET
brj-23470	424	9	drinking	drinking	NOUN
brj-23470	424	10	water	water	NOUN
brj-23470	424	11	reservoir	reservoir	NOUN
brj-23470	424	12	and	and	CCONJ
brj-23470	424	13	analysis	analysis	NOUN
brj-23470	424	14	of	of	ADP
brj-23470	424	15	environmental	environmental	ADJ
brj-23470	424	16	driving	driving	NOUN
brj-23470	424	17	factors	factor	NOUN
brj-23470	424	18	,	,	PUNCT
brj-23470	424	19	”	"	PUNCT
brj-23470	424	20	journal	journal	NOUN
brj-23470	424	21	of	of	ADP
brj-23470	424	22	hydroecology	hydroecology	NOUN
brj-23470	424	23	43(2	43(2	PROPN
brj-23470	424	24	)	)	PUNCT
brj-23470	424	25	,	,	PUNCT
brj-23470	424	26	37	37	NUM
brj-23470	424	27	-	-	SYM
brj-23470	424	28	44	44	NUM
brj-23470	424	29	.	.	PUNCT
brj-23470	425	1	doi	doi	NOUN
brj-23470	425	2	:	:	PUNCT
brj-23470	425	3	10.15928	10.15928	NUM
brj-23470	425	4	/	/	SYM
brj-23470	425	5	j.1674	j.1674	NOUN
brj-23470	425	6	-	-	PUNCT
brj-23470	425	7	3075.202005160127	3075.202005160127	NUM
brj-23470	425	8	ye	ye	NOUN
brj-23470	425	9	,	,	PUNCT
brj-23470	425	10	q.	q.	PROPN
brj-23470	425	11	,	,	PUNCT
brj-23470	425	12	yang	yang	PROPN
brj-23470	425	13	,	,	PUNCT
brj-23470	425	14	x.	x.	PROPN
brj-23470	425	15	,	,	PUNCT
brj-23470	425	16	chen	chen	PROPN
brj-23470	425	17	,	,	PUNCT
brj-23470	425	18	c.	c.	PROPN
brj-23470	425	19	,	,	PUNCT
brj-23470	425	20	and	and	CCONJ
brj-23470	425	21	wang	wang	PROPN
brj-23470	425	22	,	,	PUNCT
brj-23470	425	23	j.	j.	PROPN
brj-23470	425	24	(	(	PUNCT
brj-23470	425	25	2019	2019	NUM
brj-23470	425	26	)	)	PUNCT
brj-23470	425	27	.	.	PUNCT
brj-23470	426	1	“	"	PUNCT
brj-23470	426	2	river	river	NOUN
brj-23470	426	3	water	water	NOUN
brj-23470	426	4	quality	quality	NOUN
brj-23470	426	5	parameters	parameter	NOUN
brj-23470	426	6	prediction	prediction	NOUN
brj-23470	426	7	method	method	NOUN
brj-23470	426	8	based	base	VERB
brj-23470	426	9	on	on	ADP
brj-23470	426	10	lstm	lstm	PROPN
brj-23470	426	11	-	-	PUNCT
brj-23470	426	12	rnn	rnn	NOUN
brj-23470	426	13	model	model	NOUN
brj-23470	426	14	,	,	PUNCT
brj-23470	426	15	”	"	PUNCT
brj-23470	426	16	ieee	ieee	NOUN
brj-23470	426	17	3024	3024	NUM
brj-23470	426	18	-	-	SYM
brj-23470	426	19	3028	3028	NUM
brj-23470	426	20	,	,	PUNCT
brj-23470	426	21	doi	doi	NOUN
brj-23470	426	22	:	:	PUNCT
brj-23470	426	23	10.1109	10.1109	NUM
brj-23470	426	24	/	/	SYM
brj-23470	426	25	ccdc.2019.8832885	ccdc.2019.8832885	NUM
brj-23470	426	26	yu	yu	PROPN
brj-23470	426	27	,	,	PUNCT
brj-23470	426	28	r.-f	r.-f	NOUN
brj-23470	426	29	.	.	PUNCT
brj-23470	426	30	,	,	PUNCT
brj-23470	426	31	chen	chen	PROPN
brj-23470	426	32	,	,	PUNCT
brj-23470	426	33	h.-w	h.-w	PROPN
brj-23470	426	34	.	.	PROPN
brj-23470	426	35	,	,	PUNCT
brj-23470	426	36	cheng	cheng	PROPN
brj-23470	426	37	,	,	PUNCT
brj-23470	426	38	w.-p	w.-p	PROPN
brj-23470	426	39	.	.	PROPN
brj-23470	426	40	,	,	PUNCT
brj-23470	426	41	and	and	CCONJ
brj-23470	426	42	shen	shen	NOUN
brj-23470	426	43	,	,	PUNCT
brj-23470	426	44	y.-c	y.-c	PROPN
brj-23470	426	45	.	.	PUNCT
brj-23470	427	1	(	(	PUNCT
brj-23470	427	2	2008	2008	NUM
brj-23470	427	3	)	)	PUNCT
brj-23470	427	4	.	.	PUNCT
brj-23470	428	1	“	"	PUNCT
brj-23470	428	2	dynamic	dynamic	ADJ
brj-23470	428	3	control	control	NOUN
brj-23470	428	4	of	of	ADP
brj-23470	428	5	disinfection	disinfection	NOUN
brj-23470	428	6	for	for	ADP
brj-23470	428	7	wastewater	wastewater	NOUN
brj-23470	428	8	reuse	reuse	NOUN
brj-23470	428	9	applying	apply	VERB
brj-23470	428	10	orp	orp	PROPN
brj-23470	428	11	/	/	SYM
brj-23470	428	12	ph	ph	ADJ
brj-23470	428	13	monitoring	monitoring	NOUN
brj-23470	428	14	and	and	CCONJ
brj-23470	428	15	artificial	artificial	ADJ
brj-23470	428	16	neural	neural	ADJ
brj-23470	428	17	networks	network	NOUN
brj-23470	428	18	,	,	PUNCT
brj-23470	428	19	”	"	PUNCT
brj-23470	428	20	resour	resour	NOUN
brj-23470	428	21	.	.	PUNCT
brj-23470	429	1	conserv	conserv	NOUN
brj-23470	429	2	.	.	PUNCT
brj-23470	430	1	recy	recy	NOUN
brj-23470	430	2	.	.	PUNCT
brj-23470	431	1	52	52	NUM
brj-23470	431	2	,	,	PUNCT
brj-23470	431	3	1015	1015	NUM
brj-23470	431	4	-	-	SYM
brj-23470	431	5	1021	1021	NUM
brj-23470	431	6	.	.	PUNCT
brj-23470	432	1	doi	doi	NOUN
brj-23470	432	2	:	:	PUNCT
brj-23470	432	3	10.1016	10.1016	NUM
brj-23470	432	4	/	/	SYM
brj-23470	432	5	j.resconrec.2008.03.007	j.resconrec.2008.03.007	PROPN
brj-23470	432	6	zeinalzadeh	zeinalzadeh	PROPN
brj-23470	432	7	,	,	PUNCT
brj-23470	432	8	k.	k.	PROPN
brj-23470	432	9	,	,	PUNCT
brj-23470	432	10	and	and	CCONJ
brj-23470	432	11	rezaei	rezaei	PROPN
brj-23470	432	12	,	,	PUNCT
brj-23470	432	13	e.	e.	PROPN
brj-23470	432	14	(	(	PUNCT
brj-23470	432	15	2017	2017	NUM
brj-23470	432	16	)	)	PUNCT
brj-23470	432	17	.	.	PUNCT
brj-23470	433	1	“	"	PUNCT
brj-23470	433	2	determining	determine	VERB
brj-23470	433	3	spatial	spatial	ADJ
brj-23470	433	4	and	and	CCONJ
brj-23470	433	5	temporal	temporal	ADJ
brj-23470	433	6	changes	change	NOUN
brj-23470	433	7	of	of	ADP
brj-23470	433	8	surface	surface	NOUN
brj-23470	433	9	water	water	NOUN
brj-23470	433	10	quality	quality	NOUN
brj-23470	433	11	using	use	VERB
brj-23470	433	12	principal	principal	ADJ
brj-23470	433	13	component	component	NOUN
brj-23470	433	14	analysis	analysis	NOUN
brj-23470	433	15	,	,	PUNCT
brj-23470	433	16	”	"	PUNCT
brj-23470	433	17	j.	j.	PROPN
brj-23470	433	18	hydrol	hydrol	PROPN
brj-23470	433	19	:	:	PUNCT
brj-23470	433	20	reg	reg	NOUN
brj-23470	433	21	.	.	PUNCT
brj-23470	433	22	stud	stud	NOUN
brj-23470	433	23	.	.	PUNCT
brj-23470	434	1	13	13	NUM
brj-23470	434	2	,	,	PUNCT
brj-23470	434	3	110	110	NUM
brj-23470	434	4	.	.	PUNCT
brj-23470	434	5	doi	doi	NOUN
brj-23470	434	6	:	:	PUNCT
brj-23470	434	7	10.1016	10.1016	NUM
brj-23470	434	8	/	/	SYM
brj-23470	434	9	j.ejrh.2017.07.002	j.ejrh.2017.07.002	PROPN
brj-23470	434	10	zhang	zhang	PROPN
brj-23470	434	11	,	,	PUNCT
brj-23470	434	12	c.	c.	PROPN
brj-23470	434	13	,	,	PUNCT
brj-23470	434	14	guo	guo	PROPN
brj-23470	434	15	,	,	PUNCT
brj-23470	434	16	j.	j.	PROPN
brj-23470	434	17	,	,	PUNCT
brj-23470	434	18	lian	lian	PROPN
brj-23470	434	19	,	,	PUNCT
brj-23470	434	20	j.	j.	PROPN
brj-23470	434	21	,	,	PUNCT
brj-23470	434	22	song	song	NOUN
brj-23470	434	23	,	,	PUNCT
brj-23470	434	24	y.	y.	PROPN
brj-23470	434	25	,	,	PUNCT
brj-23470	434	26	lu	lu	PROPN
brj-23470	434	27	,	,	PUNCT
brj-23470	434	28	c.	c.	PROPN
brj-23470	434	29	,	,	PUNCT
brj-23470	434	30	and	and	CCONJ
brj-23470	434	31	li	li	PROPN
brj-23470	434	32	,	,	PUNCT
brj-23470	434	33	h.	h.	PROPN
brj-23470	434	34	(	(	PUNCT
brj-23470	434	35	2018	2018	NUM
brj-23470	434	36	)	)	PUNCT
brj-23470	434	37	.	.	PUNCT
brj-23470	435	1	“	"	PUNCT
brj-23470	435	2	bio	bio	ADJ
brj-23470	435	3	-	-	ADJ
brj-23470	435	4	mixotrophic	mixotrophic	ADJ
brj-23470	435	5	perchlorate	perchlorate	NOUN
brj-23470	435	6	reduction	reduction	NOUN
brj-23470	435	7	to	to	PART
brj-23470	435	8	control	control	VERB
brj-23470	435	9	sulfate	sulfate	NOUN
brj-23470	435	10	production	production	NOUN
brj-23470	435	11	in	in	ADP
brj-23470	435	12	a	a	DET
brj-23470	435	13	step	step	NOUN
brj-23470	435	14	-	-	PUNCT
brj-23470	435	15	feed	feed	NOUN
brj-23470	435	16	sulfur	sulfur	NOUN
brj-23470	435	17	-	-	PUNCT
brj-23470	435	18	based	base	VERB
brj-23470	435	19	reactor	reactor	NOUN
brj-23470	435	20	:	:	PUNCT
brj-23470	435	21	a	a	DET
brj-23470	435	22	study	study	NOUN
brj-23470	435	23	of	of	ADP
brj-23470	435	24	kinetics	kinetic	NOUN
brj-23470	435	25	,	,	PUNCT
brj-23470	435	26	orp	orp	PROPN
brj-23470	435	27	,	,	PUNCT
brj-23470	435	28	and	and	CCONJ
brj-23470	435	29	bacterial	bacterial	ADJ
brj-23470	435	30	community	community	NOUN
brj-23470	435	31	structure	structure	NOUN
brj-23470	435	32	,	,	PUNCT
brj-23470	435	33	”	"	PUNCT
brj-23470	435	34	bioresource	bioresource	ADP
brj-23470	435	35	technol	technol	NOUN
brj-23470	435	36	.	.	PROPN
brj-23470	435	37	269	269	NUM
brj-23470	435	38	,	,	PUNCT
brj-23470	435	39	0960	0960	NUM
brj-23470	435	40	-	-	SYM
brj-23470	435	41	8524	8524	NUM
brj-23470	435	42	.	.	PUNCT
brj-23470	436	1	doi	doi	NOUN
brj-23470	436	2	:	:	PUNCT
brj-23470	436	3	10.1016	10.1016	NUM
brj-23470	436	4	/	/	SYM
brj-23470	436	5	j.biortech.2018.08.084	j.biortech.2018.08.084	PROPN
brj-23470	436	6	zhang	zhang	PROPN
brj-23470	436	7	,	,	PUNCT
brj-23470	436	8	w.	w.	PROPN
brj-23470	436	9	,	,	PUNCT
brj-23470	436	10	li	li	PROPN
brj-23470	436	11	,	,	PUNCT
brj-23470	436	12	t.	t.	PROPN
brj-23470	436	13	,	,	PUNCT
brj-23470	436	14	tang	tang	PROPN
brj-23470	436	15	,	,	PUNCT
brj-23470	436	16	j.	j.	PROPN
brj-23470	436	17	,	,	PUNCT
brj-23470	436	18	liu	liu	PROPN
brj-23470	436	19	,	,	PUNCT
brj-23470	436	20	x.	x.	PROPN
brj-23470	436	21	,	,	PUNCT
brj-23470	436	22	liu	liu	PROPN
brj-23470	436	23	,	,	PUNCT
brj-23470	436	24	y.	y.	PROPN
brj-23470	436	25	,	,	PUNCT
brj-23470	436	26	and	and	CCONJ
brj-23470	436	27	zhong	zhong	PROPN
brj-23470	436	28	,	,	PUNCT
brj-23470	436	29	x.	x.	NOUN
brj-23470	436	30	(	(	PUNCT
brj-23470	436	31	2022	2022	NUM
brj-23470	436	32	)	)	PUNCT
brj-23470	436	33	.	.	PUNCT
brj-23470	437	1	“	"	PUNCT
brj-23470	437	2	the	the	DET
brj-23470	437	3	profiles	profile	NOUN
brj-23470	437	4	of	of	ADP
brj-23470	437	5	peer	peer	NOUN
brj-23470	437	6	-	-	PUNCT
brj-23470	437	7	reviewed	review	VERB
brj-23470	437	8	article	article	NOUN
brj-23470	437	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-23470	437	10	zhang	zhang	PROPN
brj-23470	437	11	et	et	PROPN
brj-23470	437	12	al	al	PROPN
brj-23470	437	13	.	.	PROPN
brj-23470	438	1	(	(	PUNCT
brj-23470	438	2	2024	2024	NUM
brj-23470	438	3	)	)	PUNCT
brj-23470	438	4	.	.	PUNCT
brj-23470	439	1	“	"	PUNCT
brj-23470	439	2	activated	activate	VERB
brj-23470	439	3	carbon	carbon	NOUN
brj-23470	439	4	from	from	ADP
brj-23470	439	5	sludge	sludge	NOUN
brj-23470	439	6	,	,	PUNCT
brj-23470	439	7	”	"	PUNCT
brj-23470	439	8	bioresources	bioresource	NOUN
brj-23470	439	9	19(3	19(3	NUM
brj-23470	439	10	)	)	PUNCT
brj-23470	439	11	,	,	PUNCT
brj-23470	439	12	4941	4941	NUM
brj-23470	439	13	-	-	SYM
brj-23470	439	14	4959	4959	NUM
brj-23470	439	15	.	.	PUNCT
brj-23470	440	1	4959	4959	NUM
brj-23470	440	2	chiral	chiral	ADJ
brj-23470	440	3	pesticides	pesticide	NOUN
brj-23470	440	4	in	in	ADP
brj-23470	440	5	peri	peri	PROPN
brj-23470	440	6	-	-	PUNCT
brj-23470	440	7	urban	urban	ADJ
brj-23470	440	8	areas	area	NOUN
brj-23470	440	9	near	near	ADP
brj-23470	440	10	yangtze	yangtze	PROPN
brj-23470	440	11	river	river	PROPN
brj-23470	440	12	:	:	PUNCT
brj-23470	440	13	enantioselective	enantioselective	ADJ
brj-23470	440	14	distribution	distribution	NOUN
brj-23470	440	15	characteristics	characteristic	NOUN
brj-23470	440	16	and	and	CCONJ
brj-23470	440	17	correlations	correlation	NOUN
brj-23470	440	18	with	with	ADP
brj-23470	440	19	surface	surface	NOUN
brj-23470	440	20	sediments	sediment	NOUN
brj-23470	440	21	,	,	PUNCT
brj-23470	440	22	”	"	PUNCT
brj-23470	440	23	j.	j.	PROPN
brj-23470	440	24	environ	environ	PROPN
brj-23470	440	25	.	.	PUNCT
brj-23470	441	1	sci	sci	PROPN
brj-23470	441	2	.	.	PROPN
brj-23470	441	3	121	121	NUM
brj-23470	441	4	,	,	PUNCT
brj-23470	441	5	199210	199210	NUM
brj-23470	441	6	.	.	PUNCT
brj-23470	442	1	doi	doi	NOUN
brj-23470	442	2	:	:	PUNCT
brj-23470	442	3	10.1016	10.1016	NUM
brj-23470	442	4	/	/	SYM
brj-23470	442	5	j.jes.2022.02.001	j.jes.2022.02.001	PROPN
brj-23470	442	6	zhang	zhang	PROPN
brj-23470	442	7	,	,	PUNCT
brj-23470	442	8	w.	w.	PROPN
brj-23470	442	9	,	,	PUNCT
brj-23470	442	10	and	and	CCONJ
brj-23470	442	11	liu	liu	PROPN
brj-23470	442	12	,	,	PUNCT
brj-23470	442	13	z.	z.	PROPN
brj-23470	442	14	(	(	PUNCT
brj-23470	442	15	2020	2020	NUM
brj-23470	442	16	)	)	PUNCT
brj-23470	442	17	.	.	PUNCT
brj-23470	443	1	“	"	PUNCT
brj-23470	443	2	daily	daily	ADJ
brj-23470	443	3	water	water	NOUN
brj-23470	443	4	quality	quality	NOUN
brj-23470	443	5	evaluation	evaluation	NOUN
brj-23470	443	6	of	of	ADP
brj-23470	443	7	reservoir	reservoir	PROPN
brj-23470	443	8	and	and	CCONJ
brj-23470	443	9	cyanobacteria	cyanobacteria	NOUN
brj-23470	443	10	pollution	pollution	NOUN
brj-23470	443	11	index	index	NOUN
brj-23470	443	12	calculation	calculation	NOUN
brj-23470	443	13	,	,	PUNCT
brj-23470	443	14	”	"	PUNCT
brj-23470	443	15	water	water	NOUN
brj-23470	443	16	supply	supply	NOUN
brj-23470	443	17	21	21	NUM
brj-23470	443	18	,	,	PUNCT
brj-23470	443	19	836	836	NUM
brj-23470	443	20	-	-	SYM
brj-23470	443	21	847	847	NUM
brj-23470	443	22	.	.	PUNCT
brj-23470	444	1	doi	doi	NOUN
brj-23470	444	2	:	:	PUNCT
brj-23470	444	3	10.2166	10.2166	NUM
brj-23470	444	4	/	/	SYM
brj-23470	444	5	ws.2020.350	ws.2020.350	PROPN
brj-23470	444	6	zhao	zhao	PROPN
brj-23470	444	7	,	,	PUNCT
brj-23470	444	8	y.	y.	PROPN
brj-23470	444	9	,	,	PUNCT
brj-23470	444	10	nan	nan	PROPN
brj-23470	444	11	,	,	PUNCT
brj-23470	444	12	j.	j.	PROPN
brj-23470	444	13	,	,	PUNCT
brj-23470	444	14	cui	cui	PROPN
brj-23470	444	15	,	,	PUNCT
brj-23470	444	16	f.	f.	PROPN
brj-23470	444	17	,	,	PUNCT
brj-23470	444	18	and	and	CCONJ
brj-23470	444	19	guo	guo	PROPN
brj-23470	444	20	,	,	PUNCT
brj-23470	444	21	l.	l.	PROPN
brj-23470	444	22	(	(	PUNCT
brj-23470	444	23	2007	2007	NUM
brj-23470	444	24	)	)	PUNCT
brj-23470	444	25	.	.	PUNCT
brj-23470	445	1	“	"	PUNCT
brj-23470	445	2	water	water	NOUN
brj-23470	445	3	quality	quality	NOUN
brj-23470	445	4	forecast	forecast	NOUN
brj-23470	445	5	through	through	ADP
brj-23470	445	6	application	application	NOUN
brj-23470	445	7	of	of	ADP
brj-23470	445	8	bp	bp	PROPN
brj-23470	445	9	neural	neural	ADJ
brj-23470	445	10	network	network	NOUN
brj-23470	445	11	at	at	ADP
brj-23470	445	12	yuqiao	yuqiao	PROPN
brj-23470	445	13	reservoir	reservoir	PROPN
brj-23470	445	14	,	,	PUNCT
brj-23470	445	15	”	"	PUNCT
brj-23470	445	16	j.	j.	PROPN
brj-23470	445	17	zhejiang	zhejiang	PROPN
brj-23470	445	18	univer	univer	PROPN
brj-23470	445	19	.	.	PUNCT
brj-23470	446	1	sci	sci	PROPN
brj-23470	446	2	.	.	PROPN
brj-23470	446	3	8	8	NUM
brj-23470	446	4	,	,	PUNCT
brj-23470	446	5	1482	1482	NUM
brj-23470	446	6	-	-	SYM
brj-23470	446	7	1487	1487	NUM
brj-23470	446	8	.	.	PUNCT
brj-23470	447	1	doi	doi	NOUN
brj-23470	447	2	:	:	PUNCT
brj-23470	447	3	10.1631	10.1631	NUM
brj-23470	447	4	/	/	SYM
brj-23470	447	5	jzus.2007.a1482	jzus.2007.a1482	PROPN
brj-23470	447	6	zhu	zhu	PROPN
brj-23470	447	7	,	,	PUNCT
brj-23470	447	8	y.	y.	PROPN
brj-23470	447	9	,	,	PUNCT
brj-23470	447	10	wu	wu	PROPN
brj-23470	447	11	,	,	PUNCT
brj-23470	447	12	q.	q.	PROPN
brj-23470	447	13	,	,	PUNCT
brj-23470	447	14	and	and	CCONJ
brj-23470	447	15	zhan	zhan	PROPN
brj-23470	447	16	,	,	PUNCT
brj-23470	447	17	z.	z.	PROPN
brj-23470	447	18	(	(	PUNCT
brj-23470	447	19	2021	2021	NUM
brj-23470	447	20	)	)	PUNCT
brj-23470	447	21	.	.	PUNCT
brj-23470	448	1	“	"	PUNCT
brj-23470	448	2	water	water	NOUN
brj-23470	448	3	quality	quality	NOUN
brj-23470	448	4	assessment	assessment	NOUN
brj-23470	448	5	based	base	VERB
brj-23470	448	6	on	on	ADP
brj-23470	448	7	a	a	DET
brj-23470	448	8	coupled	couple	VERB
brj-23470	448	9	model	model	NOUN
brj-23470	448	10	of	of	ADP
brj-23470	448	11	principal	principal	ADJ
brj-23470	448	12	component	component	NOUN
brj-23470	448	13	analysis	analysis	NOUN
brj-23470	448	14	and	and	CCONJ
brj-23470	448	15	artificial	artificial	ADJ
brj-23470	448	16	neural	neural	ADJ
brj-23470	448	17	network	network	NOUN
brj-23470	448	18	,	,	PUNCT
brj-23470	448	19	”	"	PUNCT
brj-23470	448	20	jiangsu	jiangsu	PROPN
brj-23470	448	21	water	water	PROPN
brj-23470	448	22	.	.	PUNCT
brj-23470	449	1	resour	resour	NOUN
brj-23470	449	2	.	.	PUNCT
brj-23470	450	1	297	297	NUM
brj-23470	450	2	,	,	PUNCT
brj-23470	450	3	48	48	NUM
brj-23470	450	4	-	-	SYM
brj-23470	450	5	54	54	NUM
brj-23470	450	6	.	.	PUNCT
brj-23470	451	1	doi	doi	NOUN
brj-23470	451	2	:	:	PUNCT
brj-23470	451	3	10.16310	10.16310	NUM
brj-23470	451	4	/	/	SYM
brj-23470	451	5	j.cnki.jssl.2021.08.014	j.cnki.jssl.2021.08.014	NOUN
brj-23470	451	6	article	article	NOUN
brj-23470	451	7	submitted	submit	VERB
brj-23470	451	8	:	:	PUNCT
brj-23470	451	9	march	march	PROPN
brj-23470	451	10	22	22	NUM
brj-23470	451	11	,	,	PUNCT
brj-23470	451	12	2024	2024	NUM
brj-23470	451	13	;	;	PUNCT
brj-23470	451	14	peer	peer	NOUN
brj-23470	451	15	review	review	NOUN
brj-23470	451	16	completed	complete	VERB
brj-23470	451	17	:	:	PUNCT
brj-23470	451	18	april	april	PROPN
brj-23470	451	19	12	12	NUM
brj-23470	451	20	,	,	PUNCT
brj-23470	451	21	2024	2024	NUM
brj-23470	451	22	;	;	PUNCT
brj-23470	451	23	revised	revise	VERB
brj-23470	451	24	version	version	NOUN
brj-23470	451	25	received	receive	VERB
brj-23470	451	26	and	and	CCONJ
brj-23470	451	27	accepted	accept	VERB
brj-23470	451	28	:	:	PUNCT
brj-23470	451	29	may	may	AUX
brj-23470	451	30	8	8	NUM
brj-23470	451	31	,	,	PUNCT
brj-23470	451	32	2024	2024	NUM
brj-23470	451	33	;	;	PUNCT
brj-23470	451	34	published	publish	VERB
brj-23470	451	35	:	:	PUNCT
brj-23470	451	36	june	june	PROPN
brj-23470	451	37	5	5	NUM
brj-23470	451	38	,	,	PUNCT
brj-23470	451	39	2024	2024	NUM
brj-23470	451	40	.	.	PUNCT
brj-23470	452	1	doi	doi	NOUN
brj-23470	452	2	:	:	PUNCT
brj-23470	452	3	10.15376	10.15376	NUM
brj-23470	452	4	/	/	SYM
brj-23470	452	5	biores.19.3.4941	biores.19.3.4941	PROPN
brj-23470	452	6	-	-	PUNCT
brj-23470	452	7	4959	4959	NUM