id	sid	tid	token	lemma	pos
ma-91	1	1	2022	2022	NUM
ma-91	1	2	ada	ada	PROPN
ma-91	1	3	academica	academica	PROPN
ma-91	1	4	https://adac.eeeur	https://adac.eeeur	PROPN
ma-91	1	5	.	.	PUNCT
ma-91	2	1	j.	j.	PROPN
ma-91	2	2	math	math	PROPN
ma-91	2	3	.	.	PUNCT
ma-91	3	1	anal	anal	ADJ
ma-91	3	2	.	.	PUNCT
ma-91	3	3	2	2	NUM
ma-91	3	4	(	(	PUNCT
ma-91	3	5	2022	2022	NUM
ma-91	3	6	)	)	PUNCT
ma-91	3	7	17doi	17doi	NUM
ma-91	3	8	:	:	PUNCT
ma-91	3	9	10.28924	10.28924	NUM
ma-91	3	10	/	/	SYM
ma-91	3	11	ada	ada	PROPN
ma-91	3	12	/	/	SYM
ma-91	3	13	ma.2.17	ma.2.17	PROPN
ma-91	3	14	the	the	DET
ma-91	3	15	fractal	fractal	ADJ
ma-91	3	16	nature	nature	NOUN
ma-91	3	17	of	of	ADP
ma-91	3	18	drought	drought	NOUN
ma-91	3	19	:	:	PUNCT
ma-91	3	20	power	power	NOUN
ma-91	3	21	laws	law	NOUN
ma-91	3	22	and	and	CCONJ
ma-91	3	23	fractal	fractal	ADJ
ma-91	3	24	complexity	complexity	NOUN
ma-91	3	25	of	of	ADP
ma-91	3	26	arizona	arizona	PROPN
ma-91	3	27	drought	drought	PROPN
ma-91	3	28	sepideh	sepideh	PROPN
ma-91	3	29	azizi1	azizi1	PROPN
ma-91	3	30	,	,	PUNCT
ma-91	3	31	tahmineh	tahmineh	PRON
ma-91	3	32	azizi2,∗	azizi2,∗	NOUN
ma-91	3	33	1department	1department	NUM
ma-91	3	34	of	of	ADP
ma-91	3	35	urban	urban	ADJ
ma-91	3	36	planning	planning	NOUN
ma-91	3	37	and	and	CCONJ
ma-91	3	38	design	design	NOUN
ma-91	3	39	,	,	PUNCT
ma-91	3	40	shiraz	shiraz	PROPN
ma-91	3	41	university	university	PROPN
ma-91	3	42	,	,	PUNCT
ma-91	3	43	iran	iran	PROPN
ma-91	3	44	sepid.azizi97@gmail.com	sepid.azizi97@gmail.com	X
ma-91	4	1	2department	2department	NUM
ma-91	4	2	of	of	ADP
ma-91	4	3	mechanical	mechanical	ADJ
ma-91	4	4	engineering	engineering	NOUN
ma-91	4	5	,	,	PUNCT
ma-91	4	6	florida	florida	PROPN
ma-91	4	7	state	state	PROPN
ma-91	4	8	university	university	PROPN
ma-91	4	9	,	,	PUNCT
ma-91	4	10	usa	usa	PROPN
ma-91	4	11	tazizi@fsu.edu	tazizi@fsu.edu	PROPN
ma-91	4	12	∗correspondence	∗correspondence	NOUN
ma-91	4	13	:	:	PUNCT
ma-91	4	14	tazizi@fsu.edu	tazizi@fsu.edu	PROPN
ma-91	4	15	abstract	abstract	ADJ
ma-91	4	16	.	.	PUNCT
ma-91	5	1	in	in	ADP
ma-91	5	2	this	this	DET
ma-91	5	3	study	study	NOUN
ma-91	5	4	,	,	PUNCT
ma-91	5	5	we	we	PRON
ma-91	5	6	explore	explore	VERB
ma-91	5	7	the	the	DET
ma-91	5	8	possibility	possibility	NOUN
ma-91	5	9	that	that	SCONJ
ma-91	5	10	the	the	DET
ma-91	5	11	drought	drought	NOUN
ma-91	5	12	monitor	monitor	NOUN
ma-91	5	13	database	database	NOUN
ma-91	5	14	belongs	belong	VERB
ma-91	5	15	to	to	ADP
ma-91	5	16	classof	classof	VERB
ma-91	5	17	fractal	fractal	ADJ
ma-91	5	18	process	process	NOUN
ma-91	5	19	which	which	PRON
ma-91	5	20	can	can	AUX
ma-91	5	21	be	be	AUX
ma-91	5	22	characterized	characterize	VERB
ma-91	5	23	using	use	VERB
ma-91	5	24	a	a	DET
ma-91	5	25	single	single	ADJ
ma-91	5	26	scaling	scale	VERB
ma-91	5	27	exponent	exponent	NOUN
ma-91	5	28	.	.	PUNCT
ma-91	6	1	the	the	DET
ma-91	6	2	drought	drought	NOUN
ma-91	6	3	monitormap	monitormap	NOUN
ma-91	6	4	identifies	identify	VERB
ma-91	6	5	areas	area	NOUN
ma-91	6	6	of	of	ADP
ma-91	6	7	drought	drought	NOUN
ma-91	6	8	and	and	CCONJ
ma-91	6	9	labels	label	VERB
ma-91	6	10	them	they	PRON
ma-91	6	11	by	by	ADP
ma-91	6	12	intensity	intensity	NOUN
ma-91	6	13	:	:	PUNCT
ma-91	6	14	d0	d0	NOUN
ma-91	6	15	abnormally	abnormally	ADV
ma-91	6	16	dry	dry	ADJ
ma-91	6	17	,	,	PUNCT
ma-91	6	18	d1	d1	NOUN
ma-91	6	19	moderatedrought	moderatedrought	ADJ
ma-91	6	20	,	,	PUNCT
ma-91	6	21	d2	d2	VERB
ma-91	6	22	severe	severe	ADJ
ma-91	6	23	drought	drought	NOUN
ma-91	6	24	,	,	PUNCT
ma-91	6	25	d3	d3	PROPN
ma-91	6	26	extreme	extreme	ADJ
ma-91	6	27	drought	drought	NOUN
ma-91	6	28	,	,	PUNCT
ma-91	6	29	and	and	CCONJ
ma-91	6	30	d4	d4	PROPN
ma-91	6	31	exceptional	exceptional	ADJ
ma-91	6	32	drought	drought	NOUN
ma-91	6	33	.	.	PUNCT
ma-91	7	1	the	the	DET
ma-91	7	2	vibration	vibration	NOUN
ma-91	7	3	analysisusing	analysisuse	VERB
ma-91	7	4	power	power	NOUN
ma-91	7	5	spectral	spectral	ADJ
ma-91	7	6	densities	density	NOUN
ma-91	7	7	(	(	PUNCT
ma-91	7	8	psd	psd	NOUN
ma-91	7	9	)	)	PUNCT
ma-91	7	10	method	method	NOUN
ma-91	7	11	has	have	AUX
ma-91	7	12	been	be	AUX
ma-91	7	13	carried	carry	VERB
ma-91	7	14	out	out	ADP
ma-91	7	15	to	to	PART
ma-91	7	16	discover	discover	VERB
ma-91	7	17	whether	whether	SCONJ
ma-91	7	18	some	some	DET
ma-91	7	19	typeof	typeof	NOUN
ma-91	7	20	power	power	NOUN
ma-91	7	21	-	-	PUNCT
ma-91	7	22	law	law	NOUN
ma-91	7	23	scaling	scaling	NOUN
ma-91	7	24	exists	exist	VERB
ma-91	7	25	for	for	ADP
ma-91	7	26	various	various	ADJ
ma-91	7	27	statistical	statistical	ADJ
ma-91	7	28	moments	moment	NOUN
ma-91	7	29	at	at	ADP
ma-91	7	30	different	different	ADJ
ma-91	7	31	scales	scale	NOUN
ma-91	7	32	of	of	ADP
ma-91	7	33	this	this	DET
ma-91	7	34	database	database	NOUN
ma-91	7	35	.	.	PUNCT
ma-91	8	1	weperform	weperform	VERB
ma-91	8	2	multi	multi	ADJ
ma-91	8	3	-	-	ADJ
ma-91	8	4	fractal	fractal	ADJ
ma-91	8	5	analysis	analysis	NOUN
ma-91	8	6	to	to	PART
ma-91	8	7	estimate	estimate	VERB
ma-91	8	8	the	the	DET
ma-91	8	9	multi	multi	ADJ
ma-91	8	10	-	-	ADJ
ma-91	8	11	fractal	fractal	ADJ
ma-91	8	12	spectrum	spectrum	NOUN
ma-91	8	13	of	of	ADP
ma-91	8	14	each	each	DET
ma-91	8	15	group	group	NOUN
ma-91	8	16	.	.	PUNCT
ma-91	9	1	we	we	PRON
ma-91	9	2	apply	apply	VERB
ma-91	9	3	higuchialgorithm	higuchialgorithm	NOUN
ma-91	9	4	to	to	PART
ma-91	9	5	find	find	VERB
ma-91	9	6	the	the	DET
ma-91	9	7	fractal	fractal	ADJ
ma-91	9	8	complexity	complexity	NOUN
ma-91	9	9	of	of	ADP
ma-91	9	10	each	each	DET
ma-91	9	11	group	group	NOUN
ma-91	9	12	and	and	CCONJ
ma-91	9	13	then	then	ADV
ma-91	9	14	compare	compare	VERB
ma-91	9	15	them	they	PRON
ma-91	9	16	for	for	ADP
ma-91	9	17	different	different	ADJ
ma-91	9	18	timeintervals	timeinterval	NOUN
ma-91	9	19	.	.	PUNCT
ma-91	10	1	our	our	PRON
ma-91	10	2	findings	finding	NOUN
ma-91	10	3	reveal	reveal	VERB
ma-91	10	4	that	that	SCONJ
ma-91	10	5	we	we	PRON
ma-91	10	6	have	have	VERB
ma-91	10	7	a	a	DET
ma-91	10	8	wide	wide	ADJ
ma-91	10	9	range	range	NOUN
ma-91	10	10	of	of	ADP
ma-91	10	11	exponents	exponent	NOUN
ma-91	10	12	for	for	ADP
ma-91	10	13	d0	d0	NOUN
ma-91	10	14	-	-	PUNCT
ma-91	10	15	d4	d4	PROPN
ma-91	10	16	.	.	PUNCT
ma-91	11	1	therefore	therefore	ADV
ma-91	11	2	,	,	PUNCT
ma-91	11	3	d0	d0	NOUN
ma-91	11	4	-	-	PUNCT
ma-91	11	5	d4belong	d4belong	NOUN
ma-91	11	6	to	to	ADP
ma-91	11	7	class	class	NOUN
ma-91	11	8	of	of	ADP
ma-91	11	9	multi	multi	ADJ
ma-91	11	10	-	-	ADJ
ma-91	11	11	fractal	fractal	ADJ
ma-91	11	12	process	process	NOUN
ma-91	11	13	for	for	ADP
ma-91	11	14	which	which	PRON
ma-91	11	15	a	a	DET
ma-91	11	16	large	large	ADJ
ma-91	11	17	number	number	NOUN
ma-91	11	18	of	of	ADP
ma-91	11	19	scaling	scale	VERB
ma-91	11	20	exponents	exponent	NOUN
ma-91	11	21	are	be	AUX
ma-91	11	22	required	require	VERB
ma-91	11	23	tocharacterize	tocharacterize	NOUN
ma-91	11	24	the	the	DET
ma-91	11	25	scaling	scale	VERB
ma-91	11	26	structure	structure	NOUN
ma-91	11	27	.	.	PUNCT
ma-91	12	1	1	1	X
ma-91	12	2	.	.	X
ma-91	12	3	introduction	introduction	NOUN
ma-91	12	4	drought	drought	NOUN
ma-91	12	5	is	be	AUX
ma-91	12	6	defined	define	VERB
ma-91	12	7	as	as	ADP
ma-91	12	8	a	a	DET
ma-91	12	9	moisture	moisture	NOUN
ma-91	12	10	deficit	deficit	NOUN
ma-91	12	11	bad	bad	ADJ
ma-91	12	12	enough	enough	ADV
ma-91	12	13	to	to	PART
ma-91	12	14	have	have	VERB
ma-91	12	15	social	social	ADJ
ma-91	12	16	,	,	PUNCT
ma-91	12	17	environmental	environmental	ADJ
ma-91	12	18	or	or	CCONJ
ma-91	12	19	economiceffects	economiceffect	NOUN
ma-91	12	20	.	.	PUNCT
ma-91	13	1	drought	drought	NOUN
ma-91	13	2	is	be	AUX
ma-91	13	3	a	a	DET
ma-91	13	4	recurring	recur	VERB
ma-91	13	5	feature	feature	NOUN
ma-91	13	6	of	of	ADP
ma-91	13	7	nearly	nearly	ADV
ma-91	13	8	every	every	PRON
ma-91	13	9	climate	climate	NOUN
ma-91	13	10	on	on	ADP
ma-91	13	11	the	the	DET
ma-91	13	12	planet	planet	NOUN
ma-91	13	13	[	[	X
ma-91	13	14	1–5	1–5	X
ma-91	13	15	]	]	X
ma-91	13	16	.	.	PUNCT
ma-91	14	1	in	in	ADP
ma-91	14	2	many	many	ADJ
ma-91	14	3	partsof	partsof	NOUN
ma-91	14	4	the	the	DET
ma-91	14	5	world	world	NOUN
ma-91	14	6	,	,	PUNCT
ma-91	14	7	including	include	VERB
ma-91	14	8	north	north	PROPN
ma-91	14	9	america	america	PROPN
ma-91	14	10	,	,	PUNCT
ma-91	14	11	we	we	PRON
ma-91	14	12	have	have	VERB
ma-91	14	13	little	little	ADJ
ma-91	14	14	ability	ability	NOUN
ma-91	14	15	to	to	PART
ma-91	14	16	predict	predict	VERB
ma-91	14	17	exactly	exactly	ADV
ma-91	14	18	when	when	SCONJ
ma-91	14	19	drought	drought	NOUN
ma-91	14	20	willhappen	willhappen	VERB
ma-91	14	21	next	next	ADV
ma-91	14	22	.	.	PUNCT
ma-91	15	1	but	but	CCONJ
ma-91	15	2	if	if	SCONJ
ma-91	15	3	we	we	PRON
ma-91	15	4	look	look	VERB
ma-91	15	5	at	at	ADP
ma-91	15	6	history	history	NOUN
ma-91	15	7	and	and	CCONJ
ma-91	15	8	climate	climate	NOUN
ma-91	15	9	data	datum	NOUN
ma-91	15	10	,	,	PUNCT
ma-91	15	11	we	we	PRON
ma-91	15	12	can	can	AUX
ma-91	15	13	be	be	AUX
ma-91	15	14	sure	sure	ADJ
ma-91	15	15	that	that	SCONJ
ma-91	15	16	drought	drought	NOUN
ma-91	15	17	will	will	AUX
ma-91	15	18	happenagain	happenagain	VERB
ma-91	15	19	at	at	ADP
ma-91	15	20	some	some	DET
ma-91	15	21	point	point	NOUN
ma-91	15	22	.	.	PUNCT
ma-91	16	1	in	in	ADP
ma-91	16	2	the	the	DET
ma-91	16	3	united	united	PROPN
ma-91	16	4	states	states	PROPN
ma-91	16	5	,	,	PUNCT
ma-91	16	6	a	a	DET
ma-91	16	7	well	well	ADV
ma-91	16	8	-	-	PUNCT
ma-91	16	9	developed	develop	VERB
ma-91	16	10	economy	economy	NOUN
ma-91	16	11	and	and	CCONJ
ma-91	16	12	agricultural	agricultural	ADJ
ma-91	16	13	systemgenerally	systemgenerally	ADV
ma-91	16	14	protect	protect	VERB
ma-91	16	15	citizens	citizen	NOUN
ma-91	16	16	from	from	ADP
ma-91	16	17	the	the	DET
ma-91	16	18	most	most	ADV
ma-91	16	19	critical	critical	ADJ
ma-91	16	20	effects	effect	NOUN
ma-91	16	21	of	of	ADP
ma-91	16	22	drought	drought	NOUN
ma-91	16	23	such	such	ADJ
ma-91	16	24	as	as	ADP
ma-91	16	25	shortages	shortage	NOUN
ma-91	16	26	of	of	ADP
ma-91	16	27	food	food	NOUN
ma-91	16	28	andwater	andwater	NOUN
ma-91	16	29	.	.	PUNCT
ma-91	17	1	however	however	ADV
ma-91	17	2	,	,	PUNCT
ma-91	17	3	drought	drought	NOUN
ma-91	17	4	still	still	ADV
ma-91	17	5	causes	cause	VERB
ma-91	17	6	extreme	extreme	ADJ
ma-91	17	7	hardship	hardship	NOUN
ma-91	17	8	for	for	ADP
ma-91	17	9	farm	farm	NOUN
ma-91	17	10	and	and	CCONJ
ma-91	17	11	ranch	ranch	NOUN
ma-91	17	12	families	family	NOUN
ma-91	17	13	,	,	PUNCT
ma-91	17	14	and	and	CCONJ
ma-91	17	15	individualwells	individualwell	NOUN
ma-91	17	16	may	may	AUX
ma-91	17	17	run	run	VERB
ma-91	17	18	dry	dry	ADJ
ma-91	17	19	.	.	PUNCT
ma-91	18	1	besides	besides	SCONJ
ma-91	18	2	affecting	affect	VERB
ma-91	18	3	municipal	municipal	ADJ
ma-91	18	4	water	water	NOUN
ma-91	18	5	suppliers	supplier	NOUN
ma-91	18	6	,	,	PUNCT
ma-91	18	7	drought	drought	NOUN
ma-91	18	8	affects	affect	VERB
ma-91	18	9	businesses	business	NOUN
ma-91	18	10	andenvironmental	andenvironmental	ADJ
ma-91	18	11	interests	interest	NOUN
ma-91	18	12	that	that	PRON
ma-91	18	13	are	be	AUX
ma-91	18	14	reliant	reliant	ADJ
ma-91	18	15	on	on	ADP
ma-91	18	16	adequate	adequate	ADJ
ma-91	18	17	and	and	CCONJ
ma-91	18	18	timely	timely	ADJ
ma-91	18	19	amounts	amount	NOUN
ma-91	18	20	of	of	ADP
ma-91	18	21	precipitation	precipitation	NOUN
ma-91	18	22	and	and	CCONJ
ma-91	18	23	wa	wa	NOUN
ma-91	18	24	-	-	PUNCT
ma-91	18	25	ter	ter	NOUN
ma-91	18	26	,	,	PUNCT
ma-91	18	27	such	such	ADJ
ma-91	18	28	as	as	ADP
ma-91	18	29	habitat	habitat	NOUN
ma-91	18	30	for	for	ADP
ma-91	18	31	fish	fish	NOUN
ma-91	18	32	and	and	CCONJ
ma-91	18	33	wildlife	wildlife	NOUN
ma-91	18	34	,	,	PUNCT
ma-91	18	35	outdoor	outdoor	ADJ
ma-91	18	36	recreation	recreation	NOUN
ma-91	18	37	outfitters	outfitter	NOUN
ma-91	18	38	,	,	PUNCT
ma-91	18	39	and	and	CCONJ
ma-91	18	40	landscaping	landscaping	NOUN
ma-91	18	41	and	and	CCONJ
ma-91	18	42	car	car	NOUN
ma-91	18	43	received	receive	VERB
ma-91	18	44	:	:	PUNCT
ma-91	18	45	2	2	NUM
ma-91	18	46	mar	mar	PROPN
ma-91	18	47	2022	2022	NUM
ma-91	18	48	.	.	PUNCT
ma-91	19	1	key	key	ADJ
ma-91	19	2	words	word	NOUN
ma-91	19	3	and	and	CCONJ
ma-91	19	4	phrases	phrase	NOUN
ma-91	19	5	.	.	PUNCT
ma-91	20	1	fractional	fractional	ADJ
ma-91	20	2	geometry	geometry	NOUN
ma-91	20	3	;	;	PUNCT
ma-91	20	4	power	power	NOUN
ma-91	20	5	spectral	spectral	ADJ
ma-91	20	6	densities	density	NOUN
ma-91	20	7	(	(	PUNCT
ma-91	20	8	psd	psd	NOUN
ma-91	20	9	)	)	PUNCT
ma-91	20	10	;	;	PUNCT
ma-91	20	11	multifractal	multifractal	ADJ
ma-91	20	12	analysis	analysis	NOUN
ma-91	20	13	;	;	PUNCT
ma-91	20	14	fractal	fractal	ADJ
ma-91	20	15	dimension;drought	dimension;drought	NOUN
ma-91	20	16	.	.	PUNCT
ma-91	21	1	1	1	NUM
ma-91	21	2	https://adac.ee	https://adac.ee	PROPN
ma-91	21	3	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	PROPN
ma-91	21	4	eur	eur	PROPN
ma-91	21	5	.	.	PUNCT
ma-91	22	1	j.	j.	PROPN
ma-91	22	2	math	math	PROPN
ma-91	22	3	.	.	PUNCT
ma-91	23	1	anal	anal	PROPN
ma-91	23	2	.	.	PUNCT
ma-91	24	1	10.28924	10.28924	NUM
ma-91	24	2	/	/	SYM
ma-91	24	3	ada	ada	PROPN
ma-91	24	4	/	/	SYM
ma-91	24	5	ma.2.17	ma.2.17	PROPN
ma-91	24	6	2wash	2wash	NUM
ma-91	24	7	services	service	NOUN
ma-91	24	8	[	[	X
ma-91	24	9	5–14	5–14	PROPN
ma-91	24	10	]	]	PUNCT
ma-91	24	11	.	.	PUNCT
ma-91	25	1	the	the	DET
ma-91	25	2	drought	drought	NOUN
ma-91	25	3	monitor	monitor	NOUN
ma-91	25	4	map	map	NOUN
ma-91	25	5	identifies	identify	VERB
ma-91	25	6	areas	area	NOUN
ma-91	25	7	of	of	ADP
ma-91	25	8	drought	drought	NOUN
ma-91	25	9	and	and	CCONJ
ma-91	25	10	labels	label	VERB
ma-91	25	11	them	they	PRON
ma-91	25	12	byintensity	byintensity	NOUN
ma-91	25	13	.	.	PUNCT
ma-91	26	1	d1	d1	PROPN
ma-91	26	2	is	be	AUX
ma-91	26	3	the	the	DET
ma-91	26	4	least	least	ADV
ma-91	26	5	intense	intense	ADJ
ma-91	26	6	level	level	NOUN
ma-91	26	7	and	and	CCONJ
ma-91	26	8	d4	d4	VERB
ma-91	26	9	the	the	DET
ma-91	26	10	most	most	ADV
ma-91	26	11	intense	intense	ADJ
ma-91	26	12	.	.	PUNCT
ma-91	27	1	d0	d0	NOUN
ma-91	27	2	areas	area	NOUN
ma-91	27	3	are	be	AUX
ma-91	27	4	not	not	PART
ma-91	27	5	in	in	ADP
ma-91	27	6	drought	drought	NOUN
ma-91	27	7	,	,	PUNCT
ma-91	27	8	but	but	CCONJ
ma-91	27	9	are	be	AUX
ma-91	27	10	experiencing	experience	VERB
ma-91	27	11	abnormally	abnormally	ADV
ma-91	27	12	dry	dry	ADJ
ma-91	27	13	conditions	condition	NOUN
ma-91	27	14	that	that	PRON
ma-91	27	15	could	could	AUX
ma-91	27	16	turn	turn	VERB
ma-91	27	17	into	into	ADP
ma-91	27	18	drought	drought	NOUN
ma-91	27	19	or	or	CCONJ
ma-91	27	20	are	be	AUX
ma-91	27	21	recovering	recover	VERB
ma-91	27	22	fromdrought	fromdrought	ADV
ma-91	27	23	but	but	CCONJ
ma-91	27	24	are	be	AUX
ma-91	27	25	not	not	PART
ma-91	27	26	yet	yet	ADV
ma-91	27	27	back	back	ADV
ma-91	27	28	to	to	ADP
ma-91	27	29	normal.there	normal.there	PROPN
ma-91	27	30	are	be	AUX
ma-91	27	31	different	different	ADJ
ma-91	27	32	indices	index	NOUN
ma-91	27	33	which	which	PRON
ma-91	27	34	have	have	AUX
ma-91	27	35	been	be	AUX
ma-91	27	36	used	use	VERB
ma-91	27	37	to	to	PART
ma-91	27	38	asses	asse	VERB
ma-91	27	39	drought	drought	NOUN
ma-91	27	40	severity	severity	NOUN
ma-91	27	41	and	and	CCONJ
ma-91	27	42	impacts	impact	NOUN
ma-91	27	43	in	in	ADP
ma-91	27	44	differenttime	differenttime	NOUN
ma-91	27	45	-	-	PUNCT
ma-91	27	46	scales	scale	NOUN
ma-91	27	47	.	.	PUNCT
ma-91	28	1	the	the	DET
ma-91	28	2	normalized	normalize	VERB
ma-91	28	3	difference	difference	NOUN
ma-91	28	4	vegetation	vegetation	NOUN
ma-91	28	5	index	index	NOUN
ma-91	28	6	(	(	PUNCT
ma-91	28	7	ndvi	ndvi	NOUN
ma-91	28	8	)	)	PUNCT
ma-91	28	9	is	be	AUX
ma-91	28	10	one	one	NUM
ma-91	28	11	of	of	ADP
ma-91	28	12	the	the	DET
ma-91	28	13	most	most	ADV
ma-91	28	14	widely	widely	ADV
ma-91	28	15	uti	uti	NOUN
ma-91	28	16	-	-	PUNCT
ma-91	28	17	lized	lize	VERB
ma-91	28	18	drought	drought	NOUN
ma-91	28	19	indices	index	NOUN
ma-91	28	20	to	to	PART
ma-91	28	21	determine	determine	VERB
ma-91	28	22	different	different	ADJ
ma-91	28	23	drought	drought	NOUN
ma-91	28	24	levels	level	NOUN
ma-91	28	25	[	[	X
ma-91	28	26	15–17	15–17	NUM
ma-91	28	27	]	]	PUNCT
ma-91	28	28	.	.	PUNCT
ma-91	29	1	satellite	satellite	NOUN
ma-91	29	2	databases	database	NOUN
ma-91	29	3	have	have	AUX
ma-91	29	4	beenextensively	beenextensively	ADV
ma-91	29	5	used	use	VERB
ma-91	29	6	to	to	PART
ma-91	29	7	record	record	VERB
ma-91	29	8	and	and	CCONJ
ma-91	29	9	quantify	quantify	VERB
ma-91	29	10	the	the	DET
ma-91	29	11	changes	change	NOUN
ma-91	29	12	may	may	AUX
ma-91	29	13	happen	happen	VERB
ma-91	29	14	in	in	ADP
ma-91	29	15	vegetation	vegetation	NOUN
ma-91	29	16	coverage	coverage	NOUN
ma-91	29	17	due	due	ADJ
ma-91	29	18	tochanging	tochange	VERB
ma-91	29	19	climate	climate	NOUN
ma-91	29	20	conditions	condition	NOUN
ma-91	29	21	.	.	PUNCT
ma-91	30	1	the	the	DET
ma-91	30	2	ndvi	ndvi	NOUN
ma-91	30	3	is	be	AUX
ma-91	30	4	estimated	estimate	VERB
ma-91	30	5	using	use	VERB
ma-91	30	6	visible	visible	ADJ
ma-91	30	7	and	and	CCONJ
ma-91	30	8	near	near	ADV
ma-91	30	9	-	-	PUNCT
ma-91	30	10	infrared	infrared	ADJ
ma-91	30	11	(	(	PUNCT
ma-91	30	12	nir	nir	NOUN
ma-91	30	13	)	)	PUNCT
ma-91	30	14	bandsfrom	bandsfrom	NOUN
ma-91	30	15	advanced	advanced	ADJ
ma-91	30	16	very	very	ADV
ma-91	30	17	-	-	PUNCT
ma-91	30	18	high	high	ADJ
ma-91	30	19	-	-	PUNCT
ma-91	30	20	resolution	resolution	NOUN
ma-91	30	21	radiometer	radiometer	NOUN
ma-91	30	22	(	(	PUNCT
ma-91	30	23	avhrr	avhrr	NOUN
ma-91	30	24	)	)	PUNCT
ma-91	30	25	,	,	PUNCT
ma-91	30	26	terra	terra	VERB
ma-91	30	27	moderate	moderate	ADJ
ma-91	30	28	resolution	resolution	NOUN
ma-91	30	29	imagingspectroradiometer	imagingspectroradiometer	NOUN
ma-91	30	30	(	(	PUNCT
ma-91	30	31	modis	modis	PROPN
ma-91	30	32	)	)	PUNCT
ma-91	30	33	,	,	PUNCT
ma-91	30	34	and	and	CCONJ
ma-91	30	35	landsat	landsat	PROPN
ma-91	30	36	sensors	sensor	NOUN
ma-91	30	37	.	.	PUNCT
ma-91	31	1	in	in	ADP
ma-91	31	2	general	general	ADJ
ma-91	31	3	,	,	PUNCT
ma-91	31	4	positive	positive	ADJ
ma-91	31	5	ndvi	ndvi	NOUN
ma-91	31	6	values	value	NOUN
ma-91	31	7	demonstratevegetated	demonstratevegetate	VERB
ma-91	31	8	areas	area	NOUN
ma-91	31	9	,	,	PUNCT
ma-91	31	10	zero	zero	NUM
ma-91	31	11	and	and	CCONJ
ma-91	31	12	negative	negative	ADJ
ma-91	31	13	values	value	NOUN
ma-91	31	14	are	be	AUX
ma-91	31	15	associated	associate	VERB
ma-91	31	16	with	with	ADP
ma-91	31	17	bare	bare	ADJ
ma-91	31	18	soil	soil	NOUN
ma-91	31	19	and	and	CCONJ
ma-91	31	20	water	water	NOUN
ma-91	31	21	bodies	body	NOUN
ma-91	31	22	[	[	X
ma-91	31	23	15	15	NUM
ma-91	31	24	]	]	PUNCT
ma-91	31	25	.	.	PUNCT
ma-91	32	1	thetime	thetime	PROPN
ma-91	32	2	series	series	PROPN
ma-91	32	3	of	of	ADP
ma-91	32	4	the	the	DET
ma-91	32	5	average	average	ADJ
ma-91	32	6	ndvi	ndvi	NOUN
ma-91	32	7	for	for	ADP
ma-91	32	8	arizona	arizona	PROPN
ma-91	32	9	(	(	PUNCT
ma-91	32	10	arizona	arizona	PROPN
ma-91	32	11	includes	include	VERB
ma-91	32	12	regions	region	NOUN
ma-91	32	13	with	with	ADP
ma-91	32	14	moderate	moderate	ADJ
ma-91	32	15	to	to	PART
ma-91	32	16	exceptionaldrought	exceptionaldrought	VERB
ma-91	32	17	d1	d1	PROPN
ma-91	32	18	-	-	PUNCT
ma-91	32	19	d4	d4	NOUN
ma-91	32	20	)	)	PUNCT
ma-91	32	21	shows	show	VERB
ma-91	32	22	the	the	DET
ma-91	32	23	highest	high	ADJ
ma-91	32	24	and	and	CCONJ
ma-91	32	25	lowest	low	ADJ
ma-91	32	26	ndvi	ndvi	NOUN
ma-91	32	27	values	value	NOUN
ma-91	32	28	during	during	ADP
ma-91	32	29	10	10	NUM
ma-91	32	30	years	year	NOUN
ma-91	32	31	(	(	PUNCT
ma-91	32	32	2010–2020	2010–2020	NUM
ma-91	32	33	)	)	PUNCT
ma-91	32	34	(	(	PUNCT
ma-91	32	35	for	for	ADP
ma-91	32	36	themonth	themonth	NOUN
ma-91	32	37	of	of	ADP
ma-91	32	38	jan	jan	PROPN
ma-91	32	39	-	-	PUNCT
ma-91	32	40	dec	dec	PROPN
ma-91	32	41	each	each	DET
ma-91	32	42	year	year	NOUN
ma-91	32	43	)	)	PUNCT
ma-91	33	1	(	(	PUNCT
ma-91	33	2	see	see	VERB
ma-91	33	3	figure	figure	NOUN
ma-91	33	4	(	(	PUNCT
ma-91	33	5	1	1	NUM
ma-91	33	6	)	)	PUNCT
ma-91	33	7	)	)	PUNCT
ma-91	33	8	.	.	PUNCT
ma-91	34	1	the	the	DET
ma-91	34	2	ndvi	ndvi	NOUN
ma-91	34	3	data	datum	NOUN
ma-91	34	4	selected	select	VERB
ma-91	34	5	from	from	ADP
ma-91	34	6	the	the	DET
ma-91	34	7	google	google	PROPN
ma-91	34	8	earth	earth	PROPN
ma-91	34	9	en	en	NOUN
ma-91	34	10	-	-	PUNCT
ma-91	34	11	terprise	terprise	NOUN
ma-91	34	12	open	open	ADJ
ma-91	34	13	source	source	NOUN
ma-91	34	14	which	which	PRON
ma-91	34	15	is	be	AUX
ma-91	34	16	derived	derive	VERB
ma-91	34	17	using	use	VERB
ma-91	34	18	terra	terra	NOUN
ma-91	34	19	moderate	moderate	ADJ
ma-91	34	20	resolution	resolution	NOUN
ma-91	34	21	imaging	imaging	NOUN
ma-91	34	22	spectroradiometer(modis	spectroradiometer(modis	PROPN
ma-91	34	23	)	)	PUNCT
ma-91	34	24	and	and	CCONJ
ma-91	34	25	would	would	AUX
ma-91	34	26	be	be	AUX
ma-91	34	27	useful	useful	ADJ
ma-91	34	28	to	to	PART
ma-91	34	29	forecast	forecast	VERB
ma-91	34	30	the	the	DET
ma-91	34	31	future	future	ADJ
ma-91	34	32	changes	change	NOUN
ma-91	34	33	in	in	ADP
ma-91	34	34	vegetation	vegetation	NOUN
ma-91	34	35	in	in	ADP
ma-91	34	36	arizona	arizona	PROPN
ma-91	34	37	.	.	PUNCT
ma-91	35	1	each	each	DET
ma-91	35	2	stateexperiences	stateexperience	NOUN
ma-91	35	3	different	different	ADJ
ma-91	35	4	set	set	NOUN
ma-91	35	5	of	of	ADP
ma-91	35	6	impacts	impact	NOUN
ma-91	35	7	during	during	ADP
ma-91	35	8	a	a	DET
ma-91	35	9	drought	drought	NOUN
ma-91	35	10	.	.	PUNCT
ma-91	36	1	we	we	PRON
ma-91	36	2	have	have	AUX
ma-91	36	3	also	also	ADV
ma-91	36	4	displayed	display	VERB
ma-91	36	5	the	the	DET
ma-91	36	6	table	table	NOUN
ma-91	36	7	of	of	ADP
ma-91	36	8	reportedimpacts	reportedimpact	NOUN
ma-91	36	9	during	during	ADP
ma-91	36	10	past	past	ADJ
ma-91	36	11	droughts	drought	NOUN
ma-91	36	12	in	in	ADP
ma-91	36	13	arizona	arizona	PROPN
ma-91	36	14	for	for	ADP
ma-91	36	15	each	each	DET
ma-91	36	16	level	level	NOUN
ma-91	36	17	of	of	ADP
ma-91	36	18	drought	drought	NOUN
ma-91	36	19	on	on	ADP
ma-91	36	20	the	the	DET
ma-91	36	21	u.s	u.s	PROPN
ma-91	36	22	.	.	PROPN
ma-91	36	23	drought	drought	PROPN
ma-91	36	24	monitor	monitor	NOUN
ma-91	36	25	intable	intable	ADJ
ma-91	36	26	(	(	PUNCT
ma-91	36	27	2	2	NUM
ma-91	36	28	)	)	PUNCT
ma-91	36	29	(	(	PUNCT
ma-91	36	30	source(s	source(s	NOUN
ma-91	36	31	):	):	PUNCT
ma-91	36	32	ndmc	ndmc	PROPN
ma-91	36	33	,	,	PUNCT
ma-91	36	34	noaa	noaa	NOUN
ma-91	36	35	,	,	PUNCT
ma-91	36	36	usda	usda	NOUN
ma-91	36	37	)	)	PUNCT
ma-91	36	38	.	.	PUNCT
ma-91	37	1	when	when	SCONJ
ma-91	37	2	we	we	PRON
ma-91	37	3	study	study	VERB
ma-91	37	4	real	real	ADJ
ma-91	37	5	world	world	NOUN
ma-91	37	6	time	time	PROPN
ma-91	37	7	series	series	PROPN
ma-91	37	8	data	data	PROPN
ma-91	37	9	,	,	PUNCT
ma-91	37	10	dependingon	dependingon	NOUN
ma-91	37	11	scale	scale	NOUN
ma-91	37	12	and	and	CCONJ
ma-91	37	13	higher	high	ADJ
ma-91	37	14	order	order	NOUN
ma-91	37	15	moments	moment	NOUN
ma-91	37	16	,	,	PUNCT
ma-91	37	17	we	we	PRON
ma-91	37	18	may	may	AUX
ma-91	37	19	confront	confront	VERB
ma-91	37	20	with	with	ADP
ma-91	37	21	data	datum	NOUN
ma-91	37	22	that	that	PRON
ma-91	37	23	display	display	VERB
ma-91	37	24	nonlinear	nonlinear	ADJ
ma-91	37	25	power	power	NOUN
ma-91	37	26	-	-	PUNCT
ma-91	37	27	lawbehaviours	lawbehaviours	PROPN
ma-91	37	28	.	.	PUNCT
ma-91	38	1	for	for	ADP
ma-91	38	2	these	these	DET
ma-91	38	3	type	type	NOUN
ma-91	38	4	data	datum	NOUN
ma-91	38	5	,	,	PUNCT
ma-91	38	6	we	we	PRON
ma-91	38	7	need	need	VERB
ma-91	38	8	to	to	PART
ma-91	38	9	apply	apply	VERB
ma-91	38	10	multifractal	multifractal	ADJ
ma-91	38	11	analysis	analysis	NOUN
ma-91	38	12	.	.	PUNCT
ma-91	39	1	in	in	ADP
ma-91	39	2	multifractal	multifractal	ADJ
ma-91	39	3	analysis	analysis	NOUN
ma-91	39	4	wediscover	wediscover	VERB
ma-91	39	5	whether	whether	SCONJ
ma-91	39	6	some	some	DET
ma-91	39	7	type	type	NOUN
ma-91	39	8	of	of	ADP
ma-91	39	9	power	power	NOUN
ma-91	39	10	-	-	PUNCT
ma-91	39	11	law	law	NOUN
ma-91	39	12	scaling	scaling	NOUN
ma-91	39	13	exists	exist	VERB
ma-91	39	14	for	for	ADP
ma-91	39	15	various	various	ADJ
ma-91	39	16	statistical	statistical	ADJ
ma-91	39	17	moments	moment	NOUN
ma-91	39	18	at	at	ADP
ma-91	39	19	differentscales	differentscale	NOUN
ma-91	39	20	.	.	PUNCT
ma-91	40	1	a	a	DET
ma-91	40	2	process	process	NOUN
ma-91	40	3	called	call	VERB
ma-91	40	4	mono	mono	NOUN
ma-91	40	5	-	-	PUNCT
ma-91	40	6	fractal	fractal	NOUN
ma-91	40	7	,	,	PUNCT
ma-91	40	8	if	if	SCONJ
ma-91	40	9	it	it	PRON
ma-91	40	10	can	can	AUX
ma-91	40	11	be	be	AUX
ma-91	40	12	characterized	characterize	VERB
ma-91	40	13	using	use	VERB
ma-91	40	14	a	a	DET
ma-91	40	15	single	single	ADJ
ma-91	40	16	scaling	scaling	ADJ
ma-91	40	17	exponent	exponent	NOUN
ma-91	40	18	,	,	PUNCT
ma-91	40	19	or	or	CCONJ
ma-91	40	20	this	this	DET
ma-91	40	21	process	process	NOUN
ma-91	40	22	is	be	AUX
ma-91	40	23	a	a	DET
ma-91	40	24	linear	linear	ADJ
ma-91	40	25	function	function	NOUN
ma-91	40	26	of	of	ADP
ma-91	40	27	the	the	DET
ma-91	40	28	moments	moment	NOUN
ma-91	40	29	.	.	PUNCT
ma-91	41	1	likewise	likewise	ADV
ma-91	41	2	,	,	PUNCT
ma-91	41	3	a	a	DET
ma-91	41	4	process	process	NOUN
ma-91	41	5	called	call	VERB
ma-91	41	6	multi	multi	ADJ
ma-91	41	7	-	-	ADJ
ma-91	41	8	fractal	fractal	ADJ
ma-91	41	9	,	,	PUNCT
ma-91	41	10	if	if	SCONJ
ma-91	41	11	wesee	wesee	NOUN
ma-91	41	12	the	the	DET
ma-91	41	13	scaling	scale	VERB
ma-91	41	14	behavior	behavior	NOUN
ma-91	41	15	follows	follow	VERB
ma-91	41	16	a	a	DET
ma-91	41	17	function	function	NOUN
ma-91	41	18	which	which	PRON
ma-91	41	19	is	be	AUX
ma-91	41	20	non	non	ADJ
ma-91	41	21	-	-	ADJ
ma-91	41	22	linear	linear	ADJ
ma-91	41	23	in	in	ADP
ma-91	41	24	the	the	DET
ma-91	41	25	moments	moment	NOUN
ma-91	41	26	.	.	PUNCT
ma-91	42	1	when	when	SCONJ
ma-91	42	2	we	we	PRON
ma-91	42	3	studyscale	studyscale	VERB
ma-91	42	4	invariant	invariant	ADJ
ma-91	42	5	time	time	PROPN
ma-91	42	6	series	series	PROPN
ma-91	42	7	data	data	PROPN
ma-91	42	8	,	,	PUNCT
ma-91	42	9	or	or	CCONJ
ma-91	42	10	data	datum	NOUN
ma-91	42	11	with	with	ADP
ma-91	42	12	different	different	ADJ
ma-91	42	13	scaling	scale	VERB
ma-91	42	14	behavior	behavior	NOUN
ma-91	42	15	,	,	PUNCT
ma-91	42	16	we	we	PRON
ma-91	42	17	are	be	AUX
ma-91	42	18	not	not	PART
ma-91	42	19	able	able	ADJ
ma-91	42	20	to	to	PART
ma-91	42	21	use	use	VERB
ma-91	42	22	theclassical	theclassical	ADJ
ma-91	42	23	time	time	NOUN
ma-91	42	24	series	series	NOUN
ma-91	42	25	analysis	analysis	NOUN
ma-91	42	26	and	and	CCONJ
ma-91	42	27	we	we	PRON
ma-91	42	28	need	need	VERB
ma-91	42	29	to	to	PART
ma-91	42	30	perform	perform	VERB
ma-91	42	31	fractal	fractal	ADJ
ma-91	42	32	analysis.in	analysis.in	X
ma-91	42	33	this	this	DET
ma-91	42	34	study	study	NOUN
ma-91	42	35	,	,	PUNCT
ma-91	42	36	we	we	PRON
ma-91	42	37	use	use	VERB
ma-91	42	38	fractal	fractal	ADJ
ma-91	42	39	geometry	geometry	NOUN
ma-91	42	40	to	to	PART
ma-91	42	41	classify	classify	VERB
ma-91	42	42	drought	drought	NOUN
ma-91	42	43	severity	severity	NOUN
ma-91	42	44	from	from	ADP
ma-91	42	45	2000	2000	NUM
ma-91	42	46	to	to	ADP
ma-91	42	47	2021	2021	NUM
ma-91	42	48	in	in	ADP
ma-91	42	49	arizona.we	arizona.we	PRON
ma-91	42	50	perform	perform	VERB
ma-91	42	51	multifractal	multifractal	ADJ
ma-91	42	52	analysis	analysis	NOUN
ma-91	42	53	to	to	PART
ma-91	42	54	discover	discover	VERB
ma-91	42	55	whether	whether	SCONJ
ma-91	42	56	some	some	DET
ma-91	42	57	type	type	NOUN
ma-91	42	58	of	of	ADP
ma-91	42	59	power	power	NOUN
ma-91	42	60	-	-	PUNCT
ma-91	42	61	law	law	NOUN
ma-91	42	62	scaling	scaling	NOUN
ma-91	42	63	exists	exist	VERB
ma-91	42	64	forvarious	forvarious	ADJ
ma-91	42	65	statistical	statistical	ADJ
ma-91	42	66	moments	moment	NOUN
ma-91	42	67	at	at	ADP
ma-91	42	68	different	different	ADJ
ma-91	42	69	scales	scale	NOUN
ma-91	42	70	of	of	ADP
ma-91	42	71	these	these	DET
ma-91	42	72	data	data	NOUN
ma-91	42	73	sets	set	NOUN
ma-91	42	74	.	.	PUNCT
ma-91	43	1	we	we	PRON
ma-91	43	2	plot	plot	VERB
ma-91	43	3	the	the	DET
ma-91	43	4	multifractal	multifractal	ADJ
ma-91	43	5	spectrato	spectrato	NOUN
ma-91	43	6	compare	compare	VERB
ma-91	43	7	the	the	DET
ma-91	43	8	width	width	NOUN
ma-91	43	9	of	of	ADP
ma-91	43	10	the	the	DET
ma-91	43	11	scaling	scaling	ADJ
ma-91	43	12	exponent	exponent	NOUN
ma-91	43	13	for	for	ADP
ma-91	43	14	each	each	DET
ma-91	43	15	spectrum	spectrum	NOUN
ma-91	43	16	.	.	PUNCT
ma-91	44	1	a	a	DET
ma-91	44	2	quantitative	quantitative	ADJ
ma-91	44	3	analysis	analysis	NOUN
ma-91	44	4	commonlyknown	commonlyknown	VERB
ma-91	44	5	as	as	ADP
ma-91	44	6	the	the	DET
ma-91	44	7	fractal	fractal	ADJ
ma-91	44	8	dimension	dimension	NOUN
ma-91	44	9	(	(	PUNCT
ma-91	44	10	fd	fd	X
ma-91	44	11	)	)	PUNCT
ma-91	44	12	using	use	VERB
ma-91	44	13	higuchi	higuchi	ADJ
ma-91	44	14	algorithm	algorithm	NOUN
ma-91	44	15	.	.	PUNCT
ma-91	45	1	2	2	X
ma-91	45	2	.	.	X
ma-91	45	3	materials	material	NOUN
ma-91	45	4	,	,	PUNCT
ma-91	45	5	methods	method	NOUN
ma-91	45	6	and	and	CCONJ
ma-91	45	7	results	result	VERB
ma-91	45	8	2.1	2.1	NUM
ma-91	45	9	.	.	PUNCT
ma-91	46	1	data	datum	NOUN
ma-91	46	2	.	.	PUNCT
ma-91	47	1	here	here	ADV
ma-91	47	2	,	,	PUNCT
ma-91	47	3	data	datum	NOUN
ma-91	47	4	has	have	AUX
ma-91	47	5	been	be	AUX
ma-91	47	6	collected	collect	VERB
ma-91	47	7	using	use	VERB
ma-91	47	8	u.s	u.s	PROPN
ma-91	47	9	.	.	PROPN
ma-91	47	10	drought	drought	PROPN
ma-91	47	11	monitor	monitor	NOUN
ma-91	47	12	for	for	ADP
ma-91	47	13	each	each	DET
ma-91	47	14	week	week	NOUN
ma-91	47	15	of	of	ADP
ma-91	47	16	the	the	DET
ma-91	47	17	selectedtime	selectedtime	NOUN
ma-91	47	18	period	period	NOUN
ma-91	47	19	(	(	PUNCT
ma-91	47	20	january	january	PROPN
ma-91	47	21	2000	2000	NUM
ma-91	47	22	to	to	ADP
ma-91	47	23	nov	nov	PROPN
ma-91	47	24	2021	2021	NUM
ma-91	47	25	)	)	PUNCT
ma-91	47	26	and	and	CCONJ
ma-91	47	27	location	location	NOUN
ma-91	47	28	(	(	PUNCT
ma-91	47	29	arizona	arizona	PROPN
ma-91	47	30	,	,	PUNCT
ma-91	47	31	usa	usa	PROPN
ma-91	47	32	)	)	PUNCT
ma-91	47	33	,	,	PUNCT
ma-91	47	34	see	see	VERB
ma-91	47	35	figures	figure	NOUN
ma-91	47	36	(	(	PUNCT
ma-91	47	37	3	3	NUM
ma-91	47	38	)	)	PUNCT
ma-91	47	39	and	and	CCONJ
ma-91	47	40	(	(	PUNCT
ma-91	47	41	4	4	NUM
ma-91	47	42	)	)	PUNCT
ma-91	47	43	.	.	PUNCT
ma-91	48	1	the	the	DET
ma-91	48	2	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	PROPN
ma-91	48	3	eur	eur	PROPN
ma-91	48	4	.	.	PUNCT
ma-91	49	1	j.	j.	PROPN
ma-91	49	2	math	math	PROPN
ma-91	49	3	.	.	PUNCT
ma-91	50	1	anal	anal	PROPN
ma-91	50	2	.	.	PUNCT
ma-91	51	1	10.28924	10.28924	NUM
ma-91	51	2	/	/	SYM
ma-91	51	3	ada	ada	PROPN
ma-91	51	4	/	/	SYM
ma-91	51	5	ma.2.17	ma.2.17	PROPN
ma-91	51	6	3	3	NUM
ma-91	51	7	figure	figure	NOUN
ma-91	51	8	1	1	NUM
ma-91	51	9	.	.	PUNCT
ma-91	51	10	normalized	normalize	VERB
ma-91	51	11	difference	difference	NOUN
ma-91	51	12	vegetation	vegetation	NOUN
ma-91	51	13	index	index	NOUN
ma-91	51	14	(	(	PUNCT
ma-91	51	15	ndvi	ndvi	PROPN
ma-91	51	16	)	)	PUNCT
ma-91	51	17	arizona	arizona	PROPN
ma-91	51	18	between	between	ADP
ma-91	51	19	2010	2010	NUM
ma-91	51	20	-	-	SYM
ma-91	51	21	2020	2020	NUM
ma-91	51	22	;	;	PUNCT
ma-91	51	23	google	google	PROPN
ma-91	51	24	earth	earth	NOUN
ma-91	51	25	enterprise	enterprise	NOUN
ma-91	51	26	open	open	ADJ
ma-91	51	27	source	source	NOUN
ma-91	51	28	u.s	u.s	PROPN
ma-91	51	29	.	.	PROPN
ma-91	51	30	drought	drought	PROPN
ma-91	51	31	monitor	monitor	NOUN
ma-91	51	32	which	which	PRON
ma-91	51	33	started	start	VERB
ma-91	51	34	from	from	ADP
ma-91	51	35	1999	1999	NUM
ma-91	51	36	,	,	PUNCT
ma-91	51	37	is	be	AUX
ma-91	51	38	a	a	DET
ma-91	51	39	partnership	partnership	NOUN
ma-91	51	40	between	between	ADP
ma-91	51	41	the	the	DET
ma-91	51	42	national	national	ADJ
ma-91	51	43	droughtmitigation	droughtmitigation	NOUN
ma-91	51	44	center	center	NOUN
ma-91	51	45	(	(	PUNCT
ma-91	51	46	ndmc	ndmc	NOUN
ma-91	51	47	)	)	PUNCT
ma-91	51	48	at	at	ADP
ma-91	51	49	the	the	DET
ma-91	51	50	university	university	PROPN
ma-91	51	51	of	of	ADP
ma-91	51	52	nebraska	nebraska	PROPN
ma-91	51	53	-	-	PROPN
ma-91	51	54	lincoln	lincoln	PROPN
ma-91	51	55	,	,	PUNCT
ma-91	51	56	the	the	DET
ma-91	51	57	united	united	PROPN
ma-91	51	58	states	states	PROPN
ma-91	51	59	departmentof	departmentof	PROPN
ma-91	51	60	agriculture	agriculture	PROPN
ma-91	51	61	(	(	PUNCT
ma-91	51	62	usda	usda	PROPN
ma-91	51	63	)	)	PUNCT
ma-91	51	64	,	,	PUNCT
ma-91	51	65	and	and	CCONJ
ma-91	51	66	the	the	DET
ma-91	51	67	national	national	ADJ
ma-91	51	68	oceanic	oceanic	NOUN
ma-91	51	69	and	and	CCONJ
ma-91	51	70	atmospheric	atmospheric	PROPN
ma-91	51	71	administration	administration	NOUN
ma-91	51	72	(	(	PUNCT
ma-91	51	73	noaa	noaa	PROPN
ma-91	51	74	)	)	PUNCT
ma-91	51	75	.	.	PUNCT
ma-91	52	1	eachthursday	eachthursday	PROPN
ma-91	52	2	,	,	PUNCT
ma-91	52	3	the	the	DET
ma-91	52	4	u.s	u.s	PROPN
ma-91	52	5	.	.	PROPN
ma-91	52	6	drought	drought	PROPN
ma-91	52	7	monitor	monitor	NOUN
ma-91	52	8	(	(	PUNCT
ma-91	52	9	usdm	usdm	PROPN
ma-91	52	10	)	)	PUNCT
ma-91	52	11	will	will	AUX
ma-91	52	12	be	be	AUX
ma-91	52	13	updated	update	VERB
ma-91	52	14	to	to	PART
ma-91	52	15	demonstrate	demonstrate	VERB
ma-91	52	16	the	the	DET
ma-91	52	17	location	location	NOUN
ma-91	52	18	andintensity	andintensity	NOUN
ma-91	52	19	of	of	ADP
ma-91	52	20	drought	drought	NOUN
ma-91	52	21	across	across	ADP
ma-91	52	22	the	the	DET
ma-91	52	23	country	country	NOUN
ma-91	52	24	.	.	PUNCT
ma-91	53	1	using	use	VERB
ma-91	53	2	the	the	DET
ma-91	53	3	experts	expert	NOUN
ma-91	53	4	’	’	PART
ma-91	53	5	assessments	assessment	NOUN
ma-91	53	6	,	,	PUNCT
ma-91	53	7	drought	drought	NOUN
ma-91	53	8	categories	category	NOUN
ma-91	53	9	displayconditions	displaycondition	NOUN
ma-91	53	10	related	relate	VERB
ma-91	53	11	to	to	PART
ma-91	53	12	dryness	dryness	VERB
ma-91	53	13	and	and	CCONJ
ma-91	53	14	drought	drought	NOUN
ma-91	53	15	such	such	ADJ
ma-91	53	16	as	as	ADP
ma-91	53	17	observations	observation	NOUN
ma-91	53	18	of	of	ADP
ma-91	53	19	how	how	SCONJ
ma-91	53	20	much	much	ADJ
ma-91	53	21	water	water	NOUN
ma-91	53	22	is	be	AUX
ma-91	53	23	available	available	ADJ
ma-91	53	24	instreams	instream	NOUN
ma-91	53	25	,	,	PUNCT
ma-91	53	26	lakes	lake	NOUN
ma-91	53	27	,	,	PUNCT
ma-91	53	28	and	and	CCONJ
ma-91	53	29	soils	soil	NOUN
ma-91	53	30	compared	compare	VERB
ma-91	53	31	to	to	ADP
ma-91	53	32	usual	usual	ADJ
ma-91	53	33	time	time	NOUN
ma-91	53	34	of	of	ADP
ma-91	53	35	year	year	NOUN
ma-91	53	36	(	(	PUNCT
ma-91	53	37	source(s	source(s	NOUN
ma-91	53	38	):	):	PUNCT
ma-91	53	39	ndmc	ndmc	PROPN
ma-91	53	40	,	,	PUNCT
ma-91	53	41	noaa	noaa	NOUN
ma-91	53	42	,	,	PUNCT
ma-91	53	43	usda	usda	NOUN
ma-91	53	44	)	)	PUNCT
ma-91	54	1	[	[	X
ma-91	54	2	18	18	NUM
ma-91	54	3	]	]	PUNCT
ma-91	54	4	.	.	PUNCT
ma-91	55	1	2.2	2.2	NUM
ma-91	55	2	.	.	PUNCT
ma-91	55	3	time	time	NOUN
ma-91	55	4	-	-	PUNCT
ma-91	55	5	frequency	frequency	NOUN
ma-91	55	6	analysis	analysis	NOUN
ma-91	55	7	and	and	CCONJ
ma-91	55	8	continuous	continuous	ADJ
ma-91	55	9	wavelet	wavelet	NOUN
ma-91	55	10	transform	transform	NOUN
ma-91	55	11	(	(	PUNCT
ma-91	55	12	cwt	cwt	NOUN
ma-91	55	13	)	)	PUNCT
ma-91	55	14	.	.	PUNCT
ma-91	56	1	continuous	continuous	ADJ
ma-91	56	2	wavelettransform	wavelettransform	NOUN
ma-91	56	3	(	(	PUNCT
ma-91	56	4	cwt	cwt	NOUN
ma-91	56	5	)	)	PUNCT
ma-91	56	6	provides	provide	VERB
ma-91	56	7	a	a	DET
ma-91	56	8	linear	linear	ADJ
ma-91	56	9	time	time	NOUN
ma-91	56	10	-	-	PUNCT
ma-91	56	11	frequency	frequency	NOUN
ma-91	56	12	representation	representation	NOUN
ma-91	56	13	of	of	ADP
ma-91	56	14	non	non	ADJ
ma-91	56	15	-	-	ADJ
ma-91	56	16	stationary	stationary	ADJ
ma-91	56	17	signals	signal	NOUN
ma-91	56	18	calledscalogram	calledscalogram	NOUN
ma-91	56	19	by	by	ADP
ma-91	56	20	breaking	break	VERB
ma-91	56	21	the	the	DET
ma-91	56	22	data	datum	NOUN
ma-91	56	23	into	into	ADP
ma-91	56	24	scales	scale	NOUN
ma-91	56	25	by	by	ADP
ma-91	56	26	preserving	preserve	VERB
ma-91	56	27	time	time	NOUN
ma-91	56	28	shifts	shift	NOUN
ma-91	56	29	and	and	CCONJ
ma-91	56	30	time	time	NOUN
ma-91	56	31	scales	scale	NOUN
ma-91	56	32	.	.	PUNCT
ma-91	57	1	therefore	therefore	ADV
ma-91	57	2	,	,	PUNCT
ma-91	57	3	thewavelet	thewavelet	NOUN
ma-91	57	4	transform	transform	NOUN
ma-91	57	5	makes	make	VERB
ma-91	57	6	the	the	DET
ma-91	57	7	analysis	analysis	NOUN
ma-91	57	8	of	of	ADP
ma-91	57	9	the	the	DET
ma-91	57	10	data	datum	NOUN
ma-91	57	11	in	in	ADP
ma-91	57	12	different	different	ADJ
ma-91	57	13	frequency	frequency	NOUN
ma-91	57	14	ranges	range	VERB
ma-91	57	15	easier	easier	ADV
ma-91	57	16	and	and	CCONJ
ma-91	57	17	we	we	PRON
ma-91	57	18	can	can	AUX
ma-91	57	19	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	PROPN
ma-91	57	20	eur	eur	PROPN
ma-91	57	21	.	.	PUNCT
ma-91	58	1	j.	j.	PROPN
ma-91	58	2	math	math	PROPN
ma-91	58	3	.	.	PUNCT
ma-91	59	1	anal	anal	PROPN
ma-91	59	2	.	.	PUNCT
ma-91	60	1	10.28924	10.28924	NUM
ma-91	60	2	/	/	SYM
ma-91	60	3	ada	ada	PROPN
ma-91	60	4	/	/	SYM
ma-91	60	5	ma.2.17	ma.2.17	PROPN
ma-91	60	6	4	4	NUM
ma-91	60	7	figure	figure	NOUN
ma-91	60	8	2	2	NUM
ma-91	60	9	.	.	NOUN
ma-91	60	10	table	table	NOUN
ma-91	60	11	of	of	ADP
ma-91	60	12	the	the	DET
ma-91	60	13	reported	report	VERB
ma-91	60	14	impacts	impact	NOUN
ma-91	60	15	during	during	ADP
ma-91	60	16	past	past	ADJ
ma-91	60	17	droughts	drought	NOUN
ma-91	60	18	in	in	ADP
ma-91	60	19	arizona	arizona	PROPN
ma-91	60	20	for	for	ADP
ma-91	60	21	eachlevel	eachlevel	NOUN
ma-91	60	22	of	of	ADP
ma-91	60	23	drought	drought	NOUN
ma-91	60	24	on	on	ADP
ma-91	60	25	the	the	DET
ma-91	60	26	u.s	u.s	PROPN
ma-91	60	27	.	.	PROPN
ma-91	60	28	drought	drought	PROPN
ma-91	60	29	monitor	monitor	PROPN
ma-91	60	30	;	;	PUNCT
ma-91	60	31	(	(	PUNCT
ma-91	60	32	source(s	source(s	NOUN
ma-91	60	33	):	):	PUNCT
ma-91	60	34	ndmc	ndmc	PROPN
ma-91	60	35	,	,	PUNCT
ma-91	60	36	noaa	noaa	NOUN
ma-91	60	37	,	,	PUNCT
ma-91	60	38	usda	usda	NOUN
ma-91	60	39	)	)	PUNCT
ma-91	60	40	extract	extract	VERB
ma-91	60	41	useful	useful	ADJ
ma-91	60	42	information	information	NOUN
ma-91	60	43	from	from	ADP
ma-91	60	44	the	the	DET
ma-91	60	45	time	time	NOUN
ma-91	60	46	intervals	interval	NOUN
ma-91	60	47	between	between	ADP
ma-91	60	48	its	its	PRON
ma-91	60	49	consecutive	consecutive	ADJ
ma-91	60	50	waves	wave	NOUN
ma-91	60	51	of	of	ADP
ma-91	60	52	the	the	DET
ma-91	60	53	data	datum	NOUN
ma-91	60	54	[	[	X
ma-91	60	55	19].to	19].to	NUM
ma-91	60	56	compute	compute	VERB
ma-91	60	57	the	the	DET
ma-91	60	58	scalogram	scalogram	NOUN
ma-91	60	59	of	of	ADP
ma-91	60	60	data	datum	NOUN
ma-91	60	61	which	which	PRON
ma-91	60	62	is	be	AUX
ma-91	60	63	function	function	NOUN
ma-91	60	64	of	of	ADP
ma-91	60	65	time	time	NOUN
ma-91	60	66	and	and	CCONJ
ma-91	60	67	frequency	frequency	NOUN
ma-91	60	68	,	,	PUNCT
ma-91	60	69	at	at	ADP
ma-91	60	70	first	first	ADV
ma-91	60	71	we	we	PRON
ma-91	60	72	split	split	VERB
ma-91	60	73	thetime	thetime	PROPN
ma-91	60	74	series	series	PROPN
ma-91	60	75	data	datum	NOUN
ma-91	60	76	into	into	ADP
ma-91	60	77	overlapping	overlap	VERB
ma-91	60	78	segments	segment	NOUN
ma-91	60	79	,	,	PUNCT
ma-91	60	80	then	then	ADV
ma-91	60	81	we	we	PRON
ma-91	60	82	need	need	VERB
ma-91	60	83	to	to	PART
ma-91	60	84	compute	compute	VERB
ma-91	60	85	the	the	DET
ma-91	60	86	absolute	absolute	ADJ
ma-91	60	87	value	value	NOUN
ma-91	60	88	of	of	ADP
ma-91	60	89	thecontinuous	thecontinuous	ADJ
ma-91	60	90	wavelet	wavelet	NOUN
ma-91	60	91	transform	transform	NOUN
ma-91	60	92	coefficients	coefficient	NOUN
ma-91	60	93	of	of	ADP
ma-91	60	94	each	each	DET
ma-91	60	95	segment	segment	NOUN
ma-91	60	96	and	and	CCONJ
ma-91	60	97	finally	finally	ADV
ma-91	60	98	,	,	PUNCT
ma-91	60	99	plot	plot	VERB
ma-91	60	100	it	it	PRON
ma-91	60	101	.	.	PUNCT
ma-91	61	1	we	we	PRON
ma-91	61	2	have	have	VERB
ma-91	61	3	displayedthe	displayedthe	ADJ
ma-91	61	4	scalogram	scalogram	NOUN
ma-91	61	5	plots	plot	NOUN
ma-91	61	6	of	of	ADP
ma-91	61	7	drought	drought	NOUN
ma-91	61	8	monitor	monitor	NOUN
ma-91	61	9	categories	category	NOUN
ma-91	61	10	arizona	arizona	PROPN
ma-91	61	11	database	database	NOUN
ma-91	61	12	(	(	PUNCT
ma-91	61	13	2000	2000	NUM
ma-91	61	14	present	present	NOUN
ma-91	61	15	)	)	PUNCT
ma-91	61	16	in	in	ADP
ma-91	61	17	figures(5)-(6	figures(5)-(6	NOUN
ma-91	61	18	)	)	PUNCT
ma-91	61	19	.	.	PUNCT
ma-91	62	1	2.3	2.3	NUM
ma-91	62	2	.	.	PUNCT
ma-91	63	1	vibration	vibration	NOUN
ma-91	63	2	frequency	frequency	NOUN
ma-91	63	3	analysis	analysis	NOUN
ma-91	63	4	using	use	VERB
ma-91	63	5	power	power	NOUN
ma-91	63	6	spectral	spectral	ADJ
ma-91	63	7	densities	density	NOUN
ma-91	63	8	(	(	PUNCT
ma-91	63	9	psd	psd	NOUN
ma-91	63	10	)	)	PUNCT
ma-91	63	11	.	.	PUNCT
ma-91	64	1	the	the	DET
ma-91	64	2	fast	fast	ADJ
ma-91	64	3	fourier	fourier	NOUN
ma-91	64	4	trans	trans	NOUN
ma-91	64	5	-	-	NOUN
ma-91	64	6	form	form	NOUN
ma-91	64	7	(	(	PUNCT
ma-91	64	8	fft	fft	PROPN
ma-91	64	9	)	)	PUNCT
ma-91	64	10	has	have	AUX
ma-91	64	11	been	be	AUX
ma-91	64	12	used	use	VERB
ma-91	64	13	widely	widely	ADV
ma-91	64	14	to	to	ADP
ma-91	64	15	analysis	analysis	NOUN
ma-91	64	16	of	of	ADP
ma-91	64	17	vibration	vibration	NOUN
ma-91	64	18	frequency	frequency	NOUN
ma-91	64	19	in	in	ADP
ma-91	64	20	computing	compute	VERB
ma-91	64	21	discrete	discrete	ADJ
ma-91	64	22	fouriertransform	fouriertransform	NOUN
ma-91	64	23	(	(	PUNCT
ma-91	64	24	dft	dft	PROPN
ma-91	64	25	)	)	PUNCT
ma-91	64	26	.	.	PUNCT
ma-91	65	1	however	however	ADV
ma-91	65	2	,	,	PUNCT
ma-91	65	3	fft	fft	PROPN
ma-91	65	4	only	only	ADV
ma-91	65	5	works	work	VERB
ma-91	65	6	accurately	accurately	ADV
ma-91	65	7	if	if	SCONJ
ma-91	65	8	we	we	PRON
ma-91	65	9	have	have	VERB
ma-91	65	10	a	a	DET
ma-91	65	11	finite	finite	ADJ
ma-91	65	12	number	number	NOUN
ma-91	65	13	of	of	ADP
ma-91	65	14	dominant	dominant	ADJ
ma-91	65	15	fre	fre	ADJ
ma-91	65	16	-	-	ADJ
ma-91	65	17	quency	quency	NOUN
ma-91	65	18	components	component	NOUN
ma-91	65	19	.	.	PUNCT
ma-91	66	1	to	to	PART
ma-91	66	2	overcome	overcome	VERB
ma-91	66	3	this	this	DET
ma-91	66	4	problem	problem	NOUN
ma-91	66	5	,	,	PUNCT
ma-91	66	6	we	we	PRON
ma-91	66	7	use	use	VERB
ma-91	66	8	the	the	DET
ma-91	66	9	power	power	NOUN
ma-91	66	10	spectral	spectral	ADJ
ma-91	66	11	densities	density	NOUN
ma-91	66	12	(	(	PUNCT
ma-91	66	13	psd	psd	NOUN
ma-91	66	14	)	)	PUNCT
ma-91	66	15	which	which	PRON
ma-91	66	16	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	PROPN
ma-91	66	17	eur	eur	PROPN
ma-91	66	18	.	.	PUNCT
ma-91	67	1	j.	j.	PROPN
ma-91	67	2	math	math	PROPN
ma-91	67	3	.	.	PUNCT
ma-91	68	1	anal	anal	PROPN
ma-91	68	2	.	.	PUNCT
ma-91	69	1	10.28924	10.28924	NUM
ma-91	69	2	/	/	SYM
ma-91	69	3	ada	ada	PROPN
ma-91	69	4	/	/	SYM
ma-91	69	5	ma.2.17	ma.2.17	PROPN
ma-91	69	6	5	5	NUM
ma-91	69	7	figure	figure	NOUN
ma-91	69	8	3	3	NUM
ma-91	69	9	.	.	PUNCT
ma-91	69	10	arizona	arizona	PROPN
ma-91	69	11	percent	percent	PROPN
ma-91	69	12	area	area	NOUN
ma-91	69	13	in	in	ADP
ma-91	69	14	u.s	u.s	PROPN
ma-91	69	15	.	.	PROPN
ma-91	69	16	drought	drought	PROPN
ma-91	69	17	monitor	monitor	PROPN
ma-91	69	18	categories	category	NOUN
ma-91	69	19	database	database	NOUN
ma-91	69	20	(	(	PUNCT
ma-91	69	21	2000present	2000present	NOUN
ma-91	69	22	)	)	PUNCT
ma-91	69	23	;	;	PUNCT
ma-91	69	24	national	national	ADJ
ma-91	69	25	drought	drought	PROPN
ma-91	69	26	mitigation	mitigation	NOUN
ma-91	69	27	center	center	NOUN
ma-91	69	28	(	(	PUNCT
ma-91	69	29	ndmc	ndmc	PROPN
ma-91	69	30	)	)	PUNCT
ma-91	69	31	,	,	PUNCT
ma-91	69	32	the	the	DET
ma-91	69	33	u.s	u.s	PROPN
ma-91	69	34	.	.	PROPN
ma-91	69	35	department	department	PROPN
ma-91	69	36	ofagriculture	ofagriculture	PROPN
ma-91	69	37	(	(	PUNCT
ma-91	69	38	usda	usda	NOUN
ma-91	69	39	)	)	PUNCT
ma-91	69	40	,	,	PUNCT
ma-91	69	41	and	and	CCONJ
ma-91	69	42	the	the	DET
ma-91	69	43	national	national	ADJ
ma-91	69	44	oceanic	oceanic	NOUN
ma-91	69	45	and	and	CCONJ
ma-91	69	46	atmospheric	atmospheric	PROPN
ma-91	69	47	administration(noaa	administration(noaa	PROPN
ma-91	69	48	)	)	PUNCT
ma-91	69	49	figure	figure	NOUN
ma-91	69	50	4	4	NUM
ma-91	69	51	.	.	NOUN
ma-91	69	52	histogram	histogram	NOUN
ma-91	69	53	of	of	ADP
ma-91	69	54	arizona	arizona	PROPN
ma-91	69	55	percent	percent	NOUN
ma-91	69	56	area	area	NOUN
ma-91	69	57	in	in	ADP
ma-91	69	58	u.s	u.s	PROPN
ma-91	69	59	.	.	PROPN
ma-91	69	60	drought	drought	PROPN
ma-91	69	61	monitor	monitor	PROPN
ma-91	69	62	categoriesdatabase	categoriesdatabase	NOUN
ma-91	69	63	(	(	PUNCT
ma-91	69	64	2000	2000	NUM
ma-91	69	65	present	present	NOUN
ma-91	69	66	)	)	PUNCT
ma-91	69	67	;	;	PUNCT
ma-91	69	68	national	national	ADJ
ma-91	69	69	drought	drought	PROPN
ma-91	69	70	mitigation	mitigation	NOUN
ma-91	69	71	center	center	NOUN
ma-91	69	72	(	(	PUNCT
ma-91	69	73	ndmc	ndmc	PROPN
ma-91	69	74	)	)	PUNCT
ma-91	69	75	,	,	PUNCT
ma-91	69	76	the	the	DET
ma-91	69	77	u.s.department	u.s.department	NOUN
ma-91	69	78	of	of	ADP
ma-91	69	79	agriculture	agriculture	NOUN
ma-91	69	80	(	(	PUNCT
ma-91	69	81	usda	usda	PROPN
ma-91	69	82	)	)	PUNCT
ma-91	69	83	,	,	PUNCT
ma-91	69	84	and	and	CCONJ
ma-91	69	85	the	the	DET
ma-91	69	86	national	national	ADJ
ma-91	69	87	oceanic	oceanic	NOUN
ma-91	69	88	and	and	CCONJ
ma-91	69	89	atmosphericadministration	atmosphericadministration	NOUN
ma-91	69	90	(	(	PUNCT
ma-91	69	91	noaa	noaa	PROPN
ma-91	69	92	)	)	PUNCT
ma-91	69	93	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	PROPN
ma-91	69	94	eur	eur	PROPN
ma-91	69	95	.	.	PUNCT
ma-91	70	1	j.	j.	PROPN
ma-91	70	2	math	math	PROPN
ma-91	70	3	.	.	PUNCT
ma-91	71	1	anal	anal	PROPN
ma-91	71	2	.	.	PUNCT
ma-91	72	1	10.28924	10.28924	NUM
ma-91	72	2	/	/	SYM
ma-91	72	3	ada	ada	PROPN
ma-91	72	4	/	/	SYM
ma-91	72	5	ma.2.17	ma.2.17	PROPN
ma-91	72	6	6	6	NUM
ma-91	72	7	figure	figure	NOUN
ma-91	72	8	5	5	NUM
ma-91	72	9	.	.	NOUN
ma-91	72	10	time	time	NOUN
ma-91	72	11	-	-	PUNCT
ma-91	72	12	frequency	frequency	NOUN
ma-91	72	13	representations	representation	NOUN
ma-91	72	14	of	of	ADP
ma-91	72	15	drought	drought	NOUN
ma-91	72	16	monitor	monitor	NOUN
ma-91	72	17	categories	category	NOUN
ma-91	72	18	database(2000	database(2000	VERB
ma-91	72	19	present	present	NOUN
ma-91	72	20	)	)	PUNCT
ma-91	72	21	using	use	VERB
ma-91	72	22	continuous	continuous	ADJ
ma-91	72	23	wavelet	wavelet	NOUN
ma-91	72	24	transform	transform	NOUN
ma-91	72	25	(	(	PUNCT
ma-91	72	26	cwt	cwt	NOUN
ma-91	72	27	)	)	PUNCT
ma-91	72	28	in	in	ADP
ma-91	72	29	two	two	NUM
ma-91	72	30	dimensionaltime	dimensionaltime	ADJ
ma-91	72	31	-	-	PUNCT
ma-91	72	32	frequency	frequency	NOUN
ma-91	72	33	space	space	NOUN
ma-91	72	34	figure	figure	NOUN
ma-91	72	35	6	6	NUM
ma-91	72	36	.	.	PUNCT
ma-91	72	37	time	time	NOUN
ma-91	72	38	-	-	PUNCT
ma-91	72	39	frequency	frequency	NOUN
ma-91	72	40	representations	representation	NOUN
ma-91	72	41	of	of	ADP
ma-91	72	42	drought	drought	NOUN
ma-91	72	43	monitor	monitor	NOUN
ma-91	72	44	categories	category	NOUN
ma-91	72	45	database(2000	database(2000	VERB
ma-91	72	46	present	present	NOUN
ma-91	72	47	)	)	PUNCT
ma-91	72	48	using	use	VERB
ma-91	72	49	continuous	continuous	ADJ
ma-91	72	50	wavelet	wavelet	NOUN
ma-91	72	51	transform	transform	NOUN
ma-91	72	52	(	(	PUNCT
ma-91	72	53	cwt	cwt	NOUN
ma-91	72	54	)	)	PUNCT
ma-91	72	55	in	in	ADP
ma-91	72	56	three	three	NUM
ma-91	72	57	dimensionaltime	dimensionaltime	ADJ
ma-91	72	58	-	-	PUNCT
ma-91	72	59	frequency	frequency	NOUN
ma-91	72	60	-	-	PUNCT
ma-91	72	61	magnitude	magnitude	NOUN
ma-91	72	62	space	space	NOUN
ma-91	72	63	is	be	AUX
ma-91	72	64	applied	apply	VERB
ma-91	72	65	to	to	PART
ma-91	72	66	characterize	characterize	VERB
ma-91	72	67	random	random	ADJ
ma-91	72	68	vibration	vibration	NOUN
ma-91	72	69	in	in	ADP
ma-91	72	70	time	time	NOUN
ma-91	72	71	series	series	PROPN
ma-91	72	72	data	data	PROPN
ma-91	72	73	.	.	PUNCT
ma-91	73	1	to	to	PART
ma-91	73	2	compute	compute	VERB
ma-91	73	3	psd	psd	PROPN
ma-91	73	4	,	,	PUNCT
ma-91	73	5	we	we	PRON
ma-91	73	6	multiply	multiply	VERB
ma-91	73	7	eachfrequency	eachfrequency	NOUN
ma-91	73	8	bin	bin	NOUN
ma-91	73	9	of	of	ADP
ma-91	73	10	fft	fft	PROPN
ma-91	73	11	by	by	ADP
ma-91	73	12	its	its	PRON
ma-91	73	13	complex	complex	ADJ
ma-91	73	14	conjugate	conjugate	NOUN
ma-91	73	15	to	to	PART
ma-91	73	16	get	get	VERB
ma-91	73	17	a	a	DET
ma-91	73	18	real	real	ADJ
ma-91	73	19	spectrum	spectrum	NOUN
ma-91	73	20	and	and	CCONJ
ma-91	73	21	then	then	ADV
ma-91	73	22	normalize	normalize	VERB
ma-91	73	23	the	the	DET
ma-91	73	24	results	result	NOUN
ma-91	73	25	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	PROPN
ma-91	73	26	eur	eur	PROPN
ma-91	73	27	.	.	PUNCT
ma-91	74	1	j.	j.	PROPN
ma-91	74	2	math	math	PROPN
ma-91	74	3	.	.	PUNCT
ma-91	75	1	anal	anal	PROPN
ma-91	75	2	.	.	PUNCT
ma-91	76	1	10.28924	10.28924	NUM
ma-91	76	2	/	/	SYM
ma-91	76	3	ada	ada	PROPN
ma-91	76	4	/	/	SYM
ma-91	76	5	ma.2.17	ma.2.17	PROPN
ma-91	76	6	7to	7to	PROPN
ma-91	76	7	frequency	frequency	NOUN
ma-91	76	8	bin	bin	NOUN
ma-91	76	9	width	width	NOUN
ma-91	76	10	.	.	PUNCT
ma-91	77	1	here	here	ADV
ma-91	77	2	,	,	PUNCT
ma-91	77	3	we	we	PRON
ma-91	77	4	have	have	AUX
ma-91	77	5	applied	apply	VERB
ma-91	77	6	the	the	DET
ma-91	77	7	(	(	PUNCT
ma-91	77	8	psd	psd	NOUN
ma-91	77	9	)	)	PUNCT
ma-91	77	10	method	method	NOUN
ma-91	77	11	for	for	ADP
ma-91	77	12	our	our	PRON
ma-91	77	13	database	database	NOUN
ma-91	77	14	and	and	CCONJ
ma-91	77	15	then	then	ADV
ma-91	77	16	we	we	PRON
ma-91	77	17	fitthe	fitthe	PRON
ma-91	77	18	logarithm	logarithm	PROPN
ma-91	77	19	power	power	NOUN
ma-91	77	20	spectral	spectral	ADJ
ma-91	77	21	densities	density	NOUN
ma-91	77	22	to	to	ADP
ma-91	77	23	their	their	PRON
ma-91	77	24	frequencies	frequency	NOUN
ma-91	77	25	in	in	ADP
ma-91	77	26	log	log	NOUN
ma-91	77	27	format	format	NOUN
ma-91	77	28	using	use	VERB
ma-91	77	29	least	least	ADJ
ma-91	77	30	squares	square	NOUN
ma-91	77	31	ap	ap	PROPN
ma-91	77	32	-	-	PUNCT
ma-91	77	33	proximation	proximation	NOUN
ma-91	77	34	method	method	NOUN
ma-91	77	35	.	.	PUNCT
ma-91	78	1	finally	finally	ADV
ma-91	78	2	,	,	PUNCT
ma-91	78	3	we	we	PRON
ma-91	78	4	calculate	calculate	VERB
ma-91	78	5	the	the	DET
ma-91	78	6	slope	slope	NOUN
ma-91	78	7	for	for	ADP
ma-91	78	8	each	each	DET
ma-91	78	9	regression	regression	NOUN
ma-91	78	10	line	line	NOUN
ma-91	78	11	captures	capture	VERB
ma-91	78	12	the	the	DET
ma-91	78	13	linearityof	linearityof	ADJ
ma-91	78	14	data	datum	NOUN
ma-91	78	15	.	.	PUNCT
ma-91	79	1	in	in	ADP
ma-91	79	2	figure	figure	NOUN
ma-91	79	3	(	(	PUNCT
ma-91	79	4	7	7	NUM
ma-91	79	5	)	)	PUNCT
ma-91	79	6	,	,	PUNCT
ma-91	79	7	we	we	PRON
ma-91	79	8	can	can	AUX
ma-91	79	9	see	see	VERB
ma-91	79	10	the	the	DET
ma-91	79	11	fitted	fit	VERB
ma-91	79	12	least	least	ADJ
ma-91	79	13	squares	square	NOUN
ma-91	79	14	approximation	approximation	NOUN
ma-91	79	15	to	to	ADP
ma-91	79	16	the	the	DET
ma-91	79	17	logarithm	logarithm	NOUN
ma-91	79	18	of	of	ADP
ma-91	79	19	powerspectral	powerspectral	ADJ
ma-91	79	20	density	density	NOUN
ma-91	79	21	of	of	ADP
ma-91	79	22	arizona	arizona	PROPN
ma-91	79	23	drought	drought	PROPN
ma-91	79	24	database.moreover	database.moreover	PROPN
ma-91	79	25	,	,	PUNCT
ma-91	79	26	we	we	PRON
ma-91	79	27	have	have	AUX
ma-91	79	28	plotted	plot	VERB
ma-91	79	29	the	the	DET
ma-91	79	30	scaling	scaling	ADJ
ma-91	79	31	exponent	exponent	NOUN
ma-91	79	32	graphs	graph	NOUN
ma-91	79	33	for	for	ADP
ma-91	79	34	arizona	arizona	PROPN
ma-91	79	35	drought	drought	PROPN
ma-91	79	36	database	database	NOUN
ma-91	79	37	in	in	ADP
ma-91	79	38	figure	figure	NOUN
ma-91	79	39	(	(	PUNCT
ma-91	79	40	8)	8)	NUM
ma-91	79	41	.	.	PUNCT
ma-91	79	42	figure	figure	NOUN
ma-91	79	43	7	7	NUM
ma-91	79	44	.	.	NUM
ma-91	79	45	fitted	fit	VERB
ma-91	79	46	least	least	ADJ
ma-91	79	47	squares	square	NOUN
ma-91	79	48	approximation	approximation	NOUN
ma-91	79	49	to	to	ADP
ma-91	79	50	the	the	DET
ma-91	79	51	logarithm	logarithm	NOUN
ma-91	79	52	of	of	ADP
ma-91	79	53	power	power	NOUN
ma-91	79	54	spectraldensity	spectraldensity	NOUN
ma-91	79	55	of	of	ADP
ma-91	79	56	arizona	arizona	PROPN
ma-91	79	57	drought	drought	PROPN
ma-91	79	58	database	database	NOUN
ma-91	79	59	(	(	PUNCT
ma-91	79	60	2000	2000	NUM
ma-91	79	61	present	present	NOUN
ma-91	79	62	)	)	PUNCT
ma-91	79	63	obtained	obtain	VERB
ma-91	79	64	by	by	ADP
ma-91	79	65	wavelet	wavelet	NOUN
ma-91	79	66	tech	tech	NOUN
ma-91	79	67	-	-	PUNCT
ma-91	79	68	niques	nique	NOUN
ma-91	79	69	2.4	2.4	NUM
ma-91	79	70	.	.	PUNCT
ma-91	80	1	multifractal	multifractal	ADJ
ma-91	80	2	analysis	analysis	NOUN
ma-91	80	3	and	and	CCONJ
ma-91	80	4	discrete	discrete	ADJ
ma-91	80	5	wavelet	wavelet	NOUN
ma-91	80	6	transform	transform	NOUN
ma-91	80	7	(	(	PUNCT
ma-91	80	8	dwt	dwt	NOUN
ma-91	80	9	)	)	PUNCT
ma-91	80	10	.	.	PUNCT
ma-91	81	1	fractal	fractal	ADJ
ma-91	81	2	dimension	dimension	NOUN
ma-91	81	3	is	be	AUX
ma-91	81	4	one	one	NUM
ma-91	81	5	of	of	ADP
ma-91	81	6	themost	themost	NOUN
ma-91	81	7	often	often	ADV
ma-91	81	8	used	use	VERB
ma-91	81	9	algorithm	algorithm	NOUN
ma-91	81	10	to	to	PART
ma-91	81	11	describe	describe	VERB
ma-91	81	12	the	the	DET
ma-91	81	13	complexity	complexity	NOUN
ma-91	81	14	of	of	ADP
ma-91	81	15	a	a	DET
ma-91	81	16	fractal	fractal	ADJ
ma-91	81	17	object	object	NOUN
ma-91	81	18	by	by	ADP
ma-91	81	19	measuring	measure	VERB
ma-91	81	20	the	the	DET
ma-91	81	21	changesof	changesof	NOUN
ma-91	81	22	coverings	covering	NOUN
ma-91	81	23	relative	relative	ADJ
ma-91	81	24	to	to	ADP
ma-91	81	25	the	the	DET
ma-91	81	26	scaling	scale	VERB
ma-91	81	27	factor	factor	NOUN
ma-91	81	28	[	[	X
ma-91	81	29	20–25	20–25	NUM
ma-91	81	30	]	]	PUNCT
ma-91	81	31	.	.	PUNCT
ma-91	82	1	it	it	PRON
ma-91	82	2	also	also	ADV
ma-91	82	3	specifies	specify	VERB
ma-91	82	4	the	the	DET
ma-91	82	5	space	space	NOUN
ma-91	82	6	filling	fill	VERB
ma-91	82	7	capacity	capacity	NOUN
ma-91	82	8	of	of	ADP
ma-91	82	9	afractal	afractal	ADJ
ma-91	82	10	object	object	NOUN
ma-91	82	11	with	with	ADP
ma-91	82	12	respect	respect	NOUN
ma-91	82	13	to	to	ADP
ma-91	82	14	its	its	PRON
ma-91	82	15	scaling	scale	VERB
ma-91	82	16	properties	property	NOUN
ma-91	82	17	in	in	ADP
ma-91	82	18	the	the	DET
ma-91	82	19	space	space	NOUN
ma-91	82	20	[	[	X
ma-91	82	21	26–29	26–29	NOUN
ma-91	82	22	]	]	X
ma-91	82	23	.	.	PUNCT
ma-91	83	1	the	the	DET
ma-91	83	2	relationship	relationship	NOUN
ma-91	83	3	betweenscaling	betweenscale	VERB
ma-91	83	4	and	and	CCONJ
ma-91	83	5	covering	covering	NOUN
ma-91	83	6	is	be	AUX
ma-91	83	7	often	often	ADV
ma-91	83	8	hard	hard	ADJ
ma-91	83	9	to	to	PART
ma-91	83	10	be	be	AUX
ma-91	83	11	characterized	characterize	VERB
ma-91	83	12	.	.	PUNCT
ma-91	84	1	the	the	DET
ma-91	84	2	variation	variation	NOUN
ma-91	84	3	in	in	ADP
ma-91	84	4	the	the	DET
ma-91	84	5	number	number	NOUN
ma-91	84	6	of	of	ADP
ma-91	84	7	coverings	covering	NOUN
ma-91	84	8	,	,	PUNCT
ma-91	84	9	n(ε	n(ε	NOUN
ma-91	84	10	)	)	PUNCT
ma-91	84	11	,	,	PUNCT
ma-91	84	12	with	with	ADP
ma-91	84	13	respect	respect	NOUN
ma-91	84	14	to	to	ADP
ma-91	84	15	the	the	DET
ma-91	84	16	scaling	scale	VERB
ma-91	84	17	factor	factor	NOUN
ma-91	84	18	ε	ε	PROPN
ma-91	84	19	,	,	PUNCT
ma-91	84	20	can	can	AUX
ma-91	84	21	be	be	AUX
ma-91	84	22	written	write	VERB
ma-91	84	23	as	as	ADP
ma-91	84	24	n(ε	n(ε	NOUN
ma-91	84	25	)	)	PUNCT
ma-91	84	26	∝	∝	PROPN
ma-91	84	27	ε−d	ε−d	PROPN
ma-91	84	28	(	(	PUNCT
ma-91	84	29	1	1	NUM
ma-91	84	30	)	)	PUNCT
ma-91	84	31	where	where	SCONJ
ma-91	84	32	d	d	NOUN
ma-91	84	33	is	be	AUX
ma-91	84	34	the	the	DET
ma-91	84	35	fractal	fractal	ADJ
ma-91	84	36	dimension	dimension	NOUN
ma-91	84	37	.	.	PUNCT
ma-91	85	1	the	the	DET
ma-91	85	2	relation	relation	NOUN
ma-91	85	3	(	(	PUNCT
ma-91	85	4	1	1	X
ma-91	85	5	)	)	PUNCT
ma-91	85	6	is	be	AUX
ma-91	85	7	called	call	VERB
ma-91	85	8	scaling	scale	VERB
ma-91	85	9	law	law	NOUN
ma-91	85	10	that	that	PRON
ma-91	85	11	is	be	AUX
ma-91	85	12	used	use	VERB
ma-91	85	13	to	to	AUX
ma-91	85	14	demonstratethe	demonstratethe	ADJ
ma-91	85	15	size	size	NOUN
ma-91	85	16	distribution	distribution	NOUN
ma-91	85	17	of	of	ADP
ma-91	85	18	many	many	ADJ
ma-91	85	19	objects	object	NOUN
ma-91	85	20	in	in	ADP
ma-91	85	21	nature	nature	NOUN
ma-91	85	22	.	.	PUNCT
ma-91	86	1	the	the	DET
ma-91	86	2	box	box	PROPN
ma-91	86	3	counting	counting	NOUN
ma-91	86	4	formula	formula	NOUN
ma-91	86	5	which	which	PRON
ma-91	86	6	has	have	AUX
ma-91	86	7	been	be	AUX
ma-91	86	8	widely	widely	ADV
ma-91	86	9	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	ADJ
ma-91	86	10	eur	eur	PROPN
ma-91	86	11	.	.	PUNCT
ma-91	87	1	j.	j.	PROPN
ma-91	87	2	math	math	PROPN
ma-91	87	3	.	.	PUNCT
ma-91	88	1	anal	anal	PROPN
ma-91	88	2	.	.	PUNCT
ma-91	89	1	10.28924	10.28924	NUM
ma-91	89	2	/	/	SYM
ma-91	89	3	ada	ada	PROPN
ma-91	89	4	/	/	SYM
ma-91	89	5	ma.2.17	ma.2.17	PROPN
ma-91	89	6	8	8	NUM
ma-91	89	7	figure	figure	NOUN
ma-91	89	8	8	8	NUM
ma-91	89	9	.	.	PUNCT
ma-91	89	10	scaling	scale	VERB
ma-91	89	11	exponent	exponent	NOUN
ma-91	89	12	of	of	ADP
ma-91	89	13	power	power	NOUN
ma-91	89	14	spectral	spectral	ADJ
ma-91	89	15	density	density	NOUN
ma-91	89	16	for	for	ADP
ma-91	89	17	drought	drought	NOUN
ma-91	89	18	monitor	monitor	NOUN
ma-91	89	19	cate	cate	NOUN
ma-91	89	20	-	-	PUNCT
ma-91	89	21	gories	gorie	NOUN
ma-91	89	22	database	database	NOUN
ma-91	89	23	(	(	PUNCT
ma-91	89	24	2000	2000	NUM
ma-91	89	25	present	present	NOUN
ma-91	89	26	)	)	PUNCT
ma-91	89	27	.	.	PUNCT
ma-91	89	28	applied	apply	VERB
ma-91	89	29	to	to	PART
ma-91	89	30	approximate	approximate	VERB
ma-91	89	31	the	the	DET
ma-91	89	32	fractal	fractal	ADJ
ma-91	89	33	dimension	dimension	NOUN
ma-91	89	34	of	of	ADP
ma-91	89	35	an	an	DET
ma-91	89	36	irregular	irregular	ADJ
ma-91	89	37	object	object	NOUN
ma-91	89	38	is	be	AUX
ma-91	89	39	defined	define	VERB
ma-91	89	40	as	as	ADP
ma-91	89	41	db	db	PROPN
ma-91	89	42	=	=	PROPN
ma-91	89	43	lim	lim	PROPN
ma-91	89	44	a→0	a→0	PUNCT
ma-91	89	45	ln(n(a	ln(n(a	NOUN
ma-91	89	46	)	)	PUNCT
ma-91	89	47	)	)	PUNCT
ma-91	90	1	ln(1	ln(1	NOUN
ma-91	90	2	/	/	SYM
ma-91	90	3	a	a	NOUN
ma-91	90	4	)	)	PUNCT
ma-91	90	5	(	(	PUNCT
ma-91	90	6	2	2	NUM
ma-91	90	7	)	)	PUNCT
ma-91	90	8	however	however	ADV
ma-91	90	9	,	,	PUNCT
ma-91	90	10	this	this	DET
ma-91	90	11	monofractal	monofractal	ADJ
ma-91	90	12	dimension	dimension	NOUN
ma-91	90	13	is	be	AUX
ma-91	90	14	not	not	PART
ma-91	90	15	able	able	ADJ
ma-91	90	16	to	to	PART
ma-91	90	17	fully	fully	ADV
ma-91	90	18	characterize	characterize	VERB
ma-91	90	19	complex	complex	ADJ
ma-91	90	20	scaling	scaling	NOUN
ma-91	90	21	behaviors	behavior	NOUN
ma-91	90	22	ofmany	ofmany	VERB
ma-91	90	23	irregular	irregular	ADJ
ma-91	90	24	objects	object	NOUN
ma-91	90	25	in	in	ADP
ma-91	90	26	the	the	DET
ma-91	90	27	real	real	ADJ
ma-91	90	28	world	world	NOUN
ma-91	90	29	.	.	PUNCT
ma-91	91	1	that	that	PRON
ma-91	91	2	’s	’	VERB
ma-91	91	3	why	why	SCONJ
ma-91	91	4	to	to	PART
ma-91	91	5	study	study	VERB
ma-91	91	6	irregular	irregular	ADJ
ma-91	91	7	objects	object	NOUN
ma-91	91	8	we	we	PRON
ma-91	91	9	need	need	VERB
ma-91	91	10	to	to	ADP
ma-91	91	11	applythe	applythe	DET
ma-91	91	12	multifractal	multifractal	ADJ
ma-91	91	13	algorithm	algorithm	NOUN
ma-91	91	14	.	.	PUNCT
ma-91	92	1	the	the	DET
ma-91	92	2	multifractal	multifractal	ADJ
ma-91	92	3	analysis	analysis	NOUN
ma-91	92	4	utilizes	utilize	VERB
ma-91	92	5	a	a	DET
ma-91	92	6	spectrum	spectrum	NOUN
ma-91	92	7	of	of	ADP
ma-91	92	8	singularity	singularity	NOUN
ma-91	92	9	exponents	exponent	NOUN
ma-91	92	10	toprovide	toprovide	ADP
ma-91	92	11	a	a	DET
ma-91	92	12	detailed	detailed	ADJ
ma-91	92	13	and	and	CCONJ
ma-91	92	14	local	local	ADJ
ma-91	92	15	description	description	NOUN
ma-91	92	16	of	of	ADP
ma-91	92	17	complex	complex	ADJ
ma-91	92	18	scaling	scaling	NOUN
ma-91	92	19	behaviors	behavior	NOUN
ma-91	92	20	.	.	PUNCT
ma-91	93	1	in	in	ADP
ma-91	93	2	order	order	NOUN
ma-91	93	3	to	to	PART
ma-91	93	4	quantify	quantify	VERB
ma-91	93	5	localdensities	localdensitie	NOUN
ma-91	93	6	of	of	ADP
ma-91	93	7	the	the	DET
ma-91	93	8	fractal	fractal	ADJ
ma-91	93	9	set	set	NOUN
ma-91	93	10	,	,	PUNCT
ma-91	93	11	we	we	PRON
ma-91	93	12	approximate	approximate	VERB
ma-91	93	13	the	the	DET
ma-91	93	14	mass	mass	ADJ
ma-91	93	15	probability	probability	NOUN
ma-91	93	16	using	use	VERB
ma-91	93	17	the	the	DET
ma-91	93	18	following	follow	VERB
ma-91	93	19	formula	formula	NOUN
ma-91	93	20	pi(a	pi(a	NOUN
ma-91	93	21	)	)	PUNCT
ma-91	93	22	=	=	SYM
ma-91	93	23	ni(a	ni(a	X
ma-91	93	24	)	)	PUNCT
ma-91	93	25	n	n	CCONJ
ma-91	93	26	(	(	PUNCT
ma-91	93	27	3	3	NUM
ma-91	93	28	)	)	PUNCT
ma-91	93	29	where	where	SCONJ
ma-91	93	30	ni(a	ni(a	X
ma-91	93	31	)	)	PUNCT
ma-91	93	32	is	be	AUX
ma-91	93	33	the	the	DET
ma-91	93	34	number	number	NOUN
ma-91	93	35	of	of	ADP
ma-91	93	36	mass	mass	NOUN
ma-91	93	37	in	in	ADP
ma-91	93	38	the	the	DET
ma-91	93	39	i	i	PROPN
ma-91	93	40	th	th	NOUN
ma-91	93	41	subset	subset	NOUN
ma-91	93	42	of	of	ADP
ma-91	93	43	measure	measure	NOUN
ma-91	93	44	a	a	PRON
ma-91	93	45	,	,	PUNCT
ma-91	93	46	n	n	X
ma-91	93	47	is	be	AUX
ma-91	93	48	the	the	DET
ma-91	93	49	total	total	ADJ
ma-91	93	50	mass	mass	NOUN
ma-91	93	51	of	of	ADP
ma-91	93	52	the	the	DET
ma-91	93	53	set.when	set.when	ADV
ma-91	93	54	we	we	PRON
ma-91	93	55	scale	scale	VERB
ma-91	93	56	the	the	DET
ma-91	93	57	mass	mass	ADJ
ma-91	93	58	probability	probability	NOUN
ma-91	93	59	pi(a	pi(a	NOUN
ma-91	93	60	)	)	PUNCT
ma-91	93	61	with	with	ADP
ma-91	93	62	measure	measure	NOUN
ma-91	93	63	a	a	PRON
ma-91	93	64	of	of	ADP
ma-91	93	65	a	a	DET
ma-91	93	66	multifractal	multifractal	ADJ
ma-91	93	67	set	set	NOUN
ma-91	93	68	,	,	PUNCT
ma-91	93	69	it	it	PRON
ma-91	93	70	also	also	ADV
ma-91	93	71	demonstratesthe	demonstratesthe	DET
ma-91	93	72	power	power	NOUN
ma-91	93	73	law	law	NOUN
ma-91	93	74	behavior	behavior	NOUN
ma-91	93	75	:	:	PUNCT
ma-91	93	76	pi(a	pi(a	X
ma-91	93	77	)	)	PUNCT
ma-91	93	78	∝	∝	PRON
ma-91	93	79	aαi	aαi	X
ma-91	93	80	(	(	PUNCT
ma-91	93	81	4	4	NUM
ma-91	93	82	)	)	PUNCT
ma-91	93	83	where	where	SCONJ
ma-91	93	84	αi	αi	PRON
ma-91	93	85	is	be	AUX
ma-91	93	86	the	the	DET
ma-91	93	87	singularity	singularity	NOUN
ma-91	93	88	exponent	exponent	NOUN
ma-91	93	89	characterizing	characterize	VERB
ma-91	93	90	the	the	DET
ma-91	93	91	local	local	ADJ
ma-91	93	92	scaling	scaling	NOUN
ma-91	93	93	in	in	ADP
ma-91	93	94	the	the	DET
ma-91	93	95	i	i	PROPN
ma-91	93	96	th	th	NOUN
ma-91	93	97	subset	subset	VERB
ma-91	93	98	.	.	PUNCT
ma-91	94	1	the	the	DET
ma-91	94	2	mul	mul	PROPN
ma-91	94	3	-	-	ADJ
ma-91	94	4	tifractal	tifractal	ADJ
ma-91	94	5	spectrum	spectrum	NOUN
ma-91	94	6	f	f	PROPN
ma-91	94	7	(	(	PUNCT
ma-91	94	8	α	α	NOUN
ma-91	94	9	)	)	PUNCT
ma-91	94	10	provides	provide	VERB
ma-91	94	11	a	a	DET
ma-91	94	12	statistical	statistical	ADJ
ma-91	94	13	distribution	distribution	NOUN
ma-91	94	14	of	of	ADP
ma-91	94	15	singularity	singularity	NOUN
ma-91	94	16	exponents	exponent	NOUN
ma-91	94	17	αi	αi	ADV
ma-91	94	18	.	.	PUNCT
ma-91	95	1	in	in	ADP
ma-91	95	2	general	general	ADJ
ma-91	95	3	,	,	PUNCT
ma-91	95	4	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	PROPN
ma-91	95	5	eur	eur	PROPN
ma-91	95	6	.	.	PUNCT
ma-91	96	1	j.	j.	PROPN
ma-91	96	2	math	math	PROPN
ma-91	96	3	.	.	PUNCT
ma-91	97	1	anal	anal	PROPN
ma-91	97	2	.	.	PUNCT
ma-91	98	1	10.28924	10.28924	NUM
ma-91	98	2	/	/	SYM
ma-91	98	3	ada	ada	PROPN
ma-91	98	4	/	/	SYM
ma-91	98	5	ma.2.17	ma.2.17	PROPN
ma-91	98	6	9	9	NUM
ma-91	98	7	f	f	PROPN
ma-91	98	8	(	(	PUNCT
ma-91	98	9	α	α	NOUN
ma-91	98	10	)	)	PUNCT
ma-91	98	11	may	may	AUX
ma-91	98	12	be	be	AUX
ma-91	98	13	estimated	estimate	VERB
ma-91	98	14	using	use	VERB
ma-91	98	15	the	the	DET
ma-91	98	16	legendre	legendre	PROPN
ma-91	98	17	transformation	transformation	PROPN
ma-91	98	18	f	f	PROPN
ma-91	98	19	(	(	PUNCT
ma-91	98	20	α	α	NOUN
ma-91	98	21	)	)	PUNCT
ma-91	98	22	=	=	SYM
ma-91	98	23	q	q	X
ma-91	98	24	α−	α−	ADP
ma-91	98	25	τ(q	τ(q	NUM
ma-91	98	26	)	)	PUNCT
ma-91	98	27	α(q	α(q	NUM
ma-91	98	28	)	)	PUNCT
ma-91	98	29	=	=	SYM
ma-91	99	1	d	d	NOUN
ma-91	99	2	τ(q	τ(q	PROPN
ma-91	99	3	)	)	PUNCT
ma-91	100	1	d	d	X
ma-91	100	2	qwhere	qwhere	NOUN
ma-91	100	3	q	q	NOUN
ma-91	100	4	is	be	AUX
ma-91	100	5	the	the	DET
ma-91	100	6	moment	moment	NOUN
ma-91	100	7	and	and	CCONJ
ma-91	100	8	τ(q	τ(q	NUM
ma-91	100	9	)	)	PUNCT
ma-91	100	10	is	be	AUX
ma-91	100	11	the	the	DET
ma-91	100	12	mass	mass	ADJ
ma-91	100	13	exponent	exponent	NOUN
ma-91	100	14	of	of	ADP
ma-91	100	15	the	the	DET
ma-91	100	16	qth	qth	NOUN
ma-91	100	17	order	order	NOUN
ma-91	100	18	moment	moment	NOUN
ma-91	100	19	.	.	PUNCT
ma-91	101	1	in	in	ADP
ma-91	101	2	addition	addition	NOUN
ma-91	101	3	,	,	PUNCT
ma-91	101	4	themultifractal	themultifractal	ADJ
ma-91	101	5	measures	measure	NOUN
ma-91	101	6	may	may	AUX
ma-91	101	7	be	be	AUX
ma-91	101	8	specified	specify	VERB
ma-91	101	9	by	by	ADP
ma-91	101	10	scaling	scaling	NOUN
ma-91	101	11	of	of	ADP
ma-91	101	12	qth	qth	NOUN
ma-91	101	13	moments	moment	NOUN
ma-91	101	14	of	of	ADP
ma-91	101	15	pi(a	pi(a	PROPN
ma-91	101	16	)	)	PUNCT
ma-91	101	17	as	as	ADP
ma-91	101	18	n(a)∑	n(a)∑	VERB
ma-91	101	19	i=1	i=1	PROPN
ma-91	101	20	p	p	PROPN
ma-91	101	21	q(a	q(a	PROPN
ma-91	101	22	)	)	PUNCT
ma-91	102	1	i	i	PRON
ma-91	102	2	∝	∝	PROPN
ma-91	102	3	aτ(q	aτ(q	PUNCT
ma-91	102	4	)	)	PUNCT
ma-91	102	5	=	=	SYM
ma-91	102	6	a(q−1)dq	a(q−1)dq	X
ma-91	102	7	(	(	PUNCT
ma-91	102	8	5	5	NUM
ma-91	102	9	)	)	PUNCT
ma-91	102	10	where	where	SCONJ
ma-91	102	11	dq	dq	NOUN
ma-91	102	12	=	=	SYM
ma-91	102	13	τ(q	τ(q	X
ma-91	102	14	)	)	PUNCT
ma-91	102	15	(	(	PUNCT
ma-91	102	16	q	q	NOUN
ma-91	102	17	−	−	NOUN
ma-91	102	18	1	1	NUM
ma-91	102	19	)	)	PUNCT
ma-91	102	20	is	be	AUX
ma-91	102	21	the	the	DET
ma-91	102	22	generalized	generalized	ADJ
ma-91	102	23	fractal	fractal	ADJ
ma-91	102	24	dimension	dimension	NOUN
ma-91	102	25	.	.	PUNCT
ma-91	103	1	for	for	ADP
ma-91	103	2	q	q	NOUN
ma-91	103	3	=	=	SYM
ma-91	103	4	0	0	NUM
ma-91	103	5	equation	equation	NOUN
ma-91	103	6	(	(	PUNCT
ma-91	103	7	2.4	2.4	NUM
ma-91	103	8	)	)	PUNCT
ma-91	103	9	becomes	become	VERB
ma-91	103	10	n(a	n(a	NOUN
ma-91	103	11	)	)	PUNCT
ma-91	103	12	∝	∝	PROPN
ma-91	103	13	a−d0	a−d0	NUM
ma-91	103	14	which	which	PRON
ma-91	103	15	is	be	AUX
ma-91	103	16	similar	similar	ADJ
ma-91	103	17	to	to	ADP
ma-91	103	18	formula	formula	NOUN
ma-91	103	19	(	(	PUNCT
ma-91	103	20	1).from	1).from	NUM
ma-91	103	21	multifractal	multifractal	ADJ
ma-91	103	22	analysis	analysis	NOUN
ma-91	103	23	results	result	NOUN
ma-91	103	24	of	of	ADP
ma-91	103	25	arizona	arizona	PROPN
ma-91	103	26	drought	drought	PROPN
ma-91	103	27	database	database	NOUN
ma-91	103	28	(	(	PUNCT
ma-91	103	29	see	see	VERB
ma-91	103	30	figure	figure	NOUN
ma-91	103	31	(	(	PUNCT
ma-91	103	32	9	9	NUM
ma-91	103	33	)	)	PUNCT
ma-91	103	34	)	)	PUNCT
ma-91	103	35	,	,	PUNCT
ma-91	103	36	we	we	PRON
ma-91	103	37	can	can	AUX
ma-91	103	38	easilysee	easilysee	VERB
ma-91	103	39	that	that	SCONJ
ma-91	103	40	we	we	PRON
ma-91	103	41	have	have	VERB
ma-91	103	42	a	a	DET
ma-91	103	43	wide	wide	ADJ
ma-91	103	44	range	range	NOUN
ma-91	103	45	of	of	ADP
ma-91	103	46	exponents	exponent	NOUN
ma-91	103	47	for	for	ADP
ma-91	103	48	d0	d0	NOUN
ma-91	103	49	-	-	PUNCT
ma-91	103	50	d4	d4	NOUN
ma-91	103	51	,	,	PUNCT
ma-91	103	52	which	which	PRON
ma-91	103	53	indicates	indicate	VERB
ma-91	103	54	they	they	PRON
ma-91	103	55	have	have	VERB
ma-91	103	56	multifractalstructure	multifractalstructure	NOUN
ma-91	103	57	.	.	PUNCT
ma-91	104	1	the	the	DET
ma-91	104	2	drought	drought	NOUN
ma-91	104	3	database	database	NOUN
ma-91	104	4	needs	need	VERB
ma-91	104	5	to	to	PART
ma-91	104	6	be	be	AUX
ma-91	104	7	indexed	index	VERB
ma-91	104	8	by	by	ADP
ma-91	104	9	different	different	ADJ
ma-91	104	10	exponents	exponent	NOUN
ma-91	104	11	as	as	SCONJ
ma-91	104	12	we	we	PRON
ma-91	104	13	decompose	decompose	VERB
ma-91	104	14	theminto	theminto	NOUN
ma-91	104	15	different	different	ADJ
ma-91	104	16	subsets	subset	NOUN
ma-91	104	17	.	.	PUNCT
ma-91	105	1	therefore	therefore	ADV
ma-91	105	2	,	,	PUNCT
ma-91	105	3	d0	d0	NOUN
ma-91	105	4	-	-	PUNCT
ma-91	105	5	d4	d4	PROPN
ma-91	105	6	require	require	VERB
ma-91	105	7	much	much	ADV
ma-91	105	8	more	more	ADJ
ma-91	105	9	exponents	exponent	NOUN
ma-91	105	10	to	to	PART
ma-91	105	11	characterize	characterize	VERB
ma-91	105	12	their	their	PRON
ma-91	105	13	scalingproperties	scalingpropertie	NOUN
ma-91	105	14	.	.	PUNCT
ma-91	106	1	figure	figure	VERB
ma-91	106	2	9	9	NUM
ma-91	106	3	.	.	PUNCT
ma-91	107	1	the	the	DET
ma-91	107	2	multi	multi	ADJ
ma-91	107	3	-	-	ADJ
ma-91	107	4	fractal	fractal	ADJ
ma-91	107	5	spectrum	spectrum	NOUN
ma-91	107	6	analysis	analysis	NOUN
ma-91	107	7	of	of	ADP
ma-91	107	8	arizona	arizona	PROPN
ma-91	107	9	drought	drought	PROPN
ma-91	107	10	monitor	monitor	PROPN
ma-91	107	11	cate	cate	NOUN
ma-91	107	12	-	-	PUNCT
ma-91	107	13	gories	gorie	NOUN
ma-91	107	14	database	database	NOUN
ma-91	107	15	(	(	PUNCT
ma-91	107	16	2000	2000	NUM
ma-91	107	17	present	present	NOUN
ma-91	107	18	)	)	PUNCT
ma-91	107	19	shows	show	VERB
ma-91	107	20	the	the	DET
ma-91	107	21	occurrence	occurrence	NOUN
ma-91	107	22	of	of	ADP
ma-91	107	23	multi	multi	ADJ
ma-91	107	24	-	-	NOUN
ma-91	107	25	fractality	fractality	NOUN
ma-91	107	26	with	with	ADP
ma-91	107	27	abroad	abroad	ADJ
ma-91	107	28	range	range	NOUN
ma-91	107	29	of	of	ADP
ma-91	107	30	exponents	exponent	NOUN
ma-91	107	31	in	in	ADP
ma-91	107	32	data	datum	NOUN
ma-91	107	33	structure	structure	NOUN
ma-91	107	34	of	of	ADP
ma-91	107	35	d0	d0	NOUN
ma-91	107	36	-	-	PUNCT
ma-91	107	37	d4	d4	PROPN
ma-91	107	38	.	.	PUNCT
ma-91	108	1	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	PROPN
ma-91	108	2	eur	eur	PROPN
ma-91	108	3	.	.	PUNCT
ma-91	109	1	j.	j.	PROPN
ma-91	109	2	math	math	PROPN
ma-91	109	3	.	.	PUNCT
ma-91	110	1	anal	anal	PROPN
ma-91	110	2	.	.	PUNCT
ma-91	111	1	10.28924	10.28924	NUM
ma-91	111	2	/	/	SYM
ma-91	111	3	ada	ada	PROPN
ma-91	111	4	/	/	SYM
ma-91	111	5	ma.2.17	ma.2.17	PROPN
ma-91	111	6	102.5	102.5	NUM
ma-91	111	7	.	.	PUNCT
ma-91	112	1	higuchi	higuchi	PROPN
ma-91	112	2	fractal	fractal	PROPN
ma-91	112	3	dimension	dimension	NOUN
ma-91	112	4	algorithm	algorithm	NOUN
ma-91	112	5	.	.	PUNCT
ma-91	113	1	when	when	SCONJ
ma-91	113	2	we	we	PRON
ma-91	113	3	use	use	VERB
ma-91	113	4	box	box	NOUN
ma-91	113	5	counting	counting	NOUN
ma-91	113	6	method	method	NOUN
ma-91	113	7	,	,	PUNCT
ma-91	113	8	we	we	PRON
ma-91	113	9	compute	compute	VERB
ma-91	113	10	thefractal	thefractal	ADJ
ma-91	113	11	dimension	dimension	NOUN
ma-91	113	12	and	and	CCONJ
ma-91	113	13	or	or	CCONJ
ma-91	113	14	the	the	DET
ma-91	113	15	complexity	complexity	NOUN
ma-91	113	16	of	of	ADP
ma-91	113	17	a	a	DET
ma-91	113	18	fractal	fractal	ADJ
ma-91	113	19	process	process	NOUN
ma-91	113	20	in	in	ADP
ma-91	113	21	two	two	NUM
ma-91	113	22	dimensional	dimensional	ADJ
ma-91	113	23	space	space	NOUN
ma-91	113	24	[	[	X
ma-91	113	25	30	30	NUM
ma-91	113	26	]	]	PUNCT
ma-91	113	27	.	.	PUNCT
ma-91	114	1	however	however	ADV
ma-91	114	2	,	,	PUNCT
ma-91	114	3	when	when	SCONJ
ma-91	114	4	we	we	PRON
ma-91	114	5	are	be	AUX
ma-91	114	6	working	work	VERB
ma-91	114	7	with	with	ADP
ma-91	114	8	many	many	ADJ
ma-91	114	9	real	real	ADJ
ma-91	114	10	world	world	NOUN
ma-91	114	11	time	time	PROPN
ma-91	114	12	series	series	PROPN
ma-91	114	13	data	data	PROPN
ma-91	114	14	,	,	PUNCT
ma-91	114	15	it	it	PRON
ma-91	114	16	fails	fail	VERB
ma-91	114	17	to	to	PART
ma-91	114	18	recognize	recognize	VERB
ma-91	114	19	the	the	DET
ma-91	114	20	sudden	sudden	ADJ
ma-91	114	21	changeshappen	changeshappen	NOUN
ma-91	114	22	in	in	ADP
ma-91	114	23	data	datum	NOUN
ma-91	114	24	[	[	X
ma-91	114	25	31	31	NUM
ma-91	114	26	]	]	PUNCT
ma-91	114	27	.	.	PUNCT
ma-91	115	1	to	to	PART
ma-91	115	2	solve	solve	VERB
ma-91	115	3	this	this	DET
ma-91	115	4	problem	problem	NOUN
ma-91	115	5	,	,	PUNCT
ma-91	115	6	there	there	PRON
ma-91	115	7	are	be	VERB
ma-91	115	8	different	different	ADJ
ma-91	115	9	methods	method	NOUN
ma-91	115	10	such	such	ADJ
ma-91	115	11	as	as	ADP
ma-91	115	12	higuchi	higuchi	ADJ
ma-91	115	13	algorithm	algorithm	NOUN
ma-91	115	14	,	,	PUNCT
ma-91	115	15	power	power	NOUN
ma-91	115	16	spectrum	spectrum	NOUN
ma-91	115	17	analysis	analysis	NOUN
ma-91	115	18	,	,	PUNCT
ma-91	115	19	and	and	CCONJ
ma-91	115	20	katz	katz	PROPN
ma-91	115	21	algorithm	algorithm	PROPN
ma-91	115	22	that	that	PRON
ma-91	115	23	help	help	VERB
ma-91	115	24	to	to	PART
ma-91	115	25	analyze	analyze	VERB
ma-91	115	26	the	the	DET
ma-91	115	27	complexity	complexity	NOUN
ma-91	115	28	of	of	ADP
ma-91	115	29	irregulardata	irregulardata	NOUN
ma-91	115	30	[	[	X
ma-91	115	31	32–34	32–34	NUM
ma-91	115	32	]	]	PUNCT
ma-91	115	33	.	.	PUNCT
ma-91	116	1	here	here	ADV
ma-91	116	2	we	we	PRON
ma-91	116	3	use	use	VERB
ma-91	116	4	higuchi	higuchi	ADJ
ma-91	116	5	algorithm	algorithm	NOUN
ma-91	116	6	.	.	PUNCT
ma-91	117	1	we	we	PRON
ma-91	117	2	start	start	VERB
ma-91	117	3	with	with	ADP
ma-91	117	4	a	a	DET
ma-91	117	5	finite	finite	ADJ
ma-91	117	6	time	time	NOUN
ma-91	117	7	series	series	PROPN
ma-91	117	8	x1	x1	PROPN
ma-91	117	9	,	,	PUNCT
ma-91	117	10	x2	x2	PROPN
ma-91	117	11	,	,	PUNCT
ma-91	117	12	x3	x3	ADJ
ma-91	117	13	,	,	PUNCT
ma-91	117	14	.	.	PUNCT
ma-91	117	15	.	.	PUNCT
ma-91	118	1	.	.	PUNCT
ma-91	119	1	,	,	PUNCT
ma-91	119	2	xn	xn	PROPN
ma-91	119	3	.then	.then	PROPN
ma-91	119	4	,	,	PUNCT
ma-91	119	5	we	we	PRON
ma-91	119	6	create	create	VERB
ma-91	119	7	k	k	PROPN
ma-91	119	8	new	new	ADJ
ma-91	119	9	time	time	NOUN
ma-91	119	10	series	series	PROPN
ma-91	119	11	xkm	xkm	PROPN
ma-91	119	12	of	of	ADP
ma-91	119	13	the	the	DET
ma-91	119	14	form	form	NOUN
ma-91	119	15	xm	xm	PROPN
ma-91	119	16	,	,	PUNCT
ma-91	119	17	xm+k	xm+k	PROPN
ma-91	119	18	,	,	PUNCT
ma-91	119	19	xm+2k	xm+2k	PROPN
ma-91	119	20	,	,	PUNCT
ma-91	119	21	.	.	PUNCT
ma-91	119	22	.	.	PUNCT
ma-91	120	1	.	.	PUNCT
ma-91	121	1	,	,	PUNCT
ma-91	121	2	x[m+ak]where	x[m+ak]where	X
ma-91	121	3	a	a	DET
ma-91	121	4	=	=	X
ma-91	121	5	(	(	PUNCT
ma-91	121	6	n	n	NOUN
ma-91	121	7	−m)/k	−m)/k	X
ma-91	121	8	.	.	PUNCT
ma-91	122	1	for	for	ADP
ma-91	122	2	each	each	DET
ma-91	122	3	time	time	NOUN
ma-91	122	4	interval	interval	NOUN
ma-91	122	5	k	k	PROPN
ma-91	122	6	and	and	CCONJ
ma-91	122	7	the	the	DET
ma-91	122	8	initial	initial	ADJ
ma-91	122	9	time	time	NOUN
ma-91	122	10	m	m	VERB
ma-91	122	11	such	such	ADJ
ma-91	122	12	that	that	SCONJ
ma-91	122	13	m	m	VERB
ma-91	122	14	=	=	SYM
ma-91	122	15	1	1	NUM
ma-91	122	16	,	,	PUNCT
ma-91	122	17	2	2	NUM
ma-91	122	18	,	,	PUNCT
ma-91	122	19	.	.	PUNCT
ma-91	122	20	.	.	PUNCT
ma-91	123	1	.	.	PUNCT
ma-91	124	1	,	,	PUNCT
ma-91	124	2	k	k	PROPN
ma-91	124	3	,	,	PUNCT
ma-91	124	4	we	we	PRON
ma-91	124	5	calculate	calculate	VERB
ma-91	124	6	the	the	DET
ma-91	124	7	length	length	NOUN
ma-91	124	8	of	of	ADP
ma-91	124	9	xkm	xkm	NOUN
ma-91	124	10	using	use	VERB
ma-91	124	11	lkm	lkm	NOUN
ma-91	124	12	=	=	SYM
ma-91	124	13	∑[a	∑[a	PROPN
ma-91	124	14	]	]	X
ma-91	124	15	i=1	i=1	X
ma-91	124	16	|xm+i	|xm+i	NOUN
ma-91	125	1	k	k	PROPN
ma-91	125	2	−	−	PUNCT
ma-91	126	1	xm+(i−1)k	xm+(i−1)k	PROPN
ma-91	127	1	|	|	INTJ
ma-91	128	1	k	k	NOUN
ma-91	128	2	r	r	NOUN
ma-91	128	3	where	where	SCONJ
ma-91	128	4	r	r	NOUN
ma-91	128	5	=	=	SYM
ma-91	128	6	(	(	PUNCT
ma-91	128	7	n	n	CCONJ
ma-91	128	8	−	−	PROPN
ma-91	128	9	1)/[a]k	1)/[a]k	NUM
ma-91	128	10	is	be	AUX
ma-91	128	11	the	the	DET
ma-91	128	12	curve	curve	NOUN
ma-91	128	13	length	length	NOUN
ma-91	128	14	normalization	normalization	NOUN
ma-91	128	15	factor	factor	NOUN
ma-91	128	16	.	.	PUNCT
ma-91	129	1	to	to	PART
ma-91	129	2	compute	compute	VERB
ma-91	129	3	the	the	DET
ma-91	129	4	average	average	NOUN
ma-91	129	5	of	of	ADP
ma-91	129	6	curvelength	curvelength	NOUN
ma-91	129	7	for	for	ADP
ma-91	129	8	each	each	DET
ma-91	129	9	k	k	NOUN
ma-91	129	10	,	,	PUNCT
ma-91	129	11	we	we	PRON
ma-91	129	12	calculate	calculate	VERB
ma-91	129	13	the	the	DET
ma-91	129	14	mean	mean	NOUN
ma-91	129	15	of	of	ADP
ma-91	129	16	lkm	lkm	NOUN
ma-91	129	17	for	for	ADP
ma-91	129	18	m	m	PROPN
ma-91	129	19	=	=	SYM
ma-91	129	20	1	1	NUM
ma-91	129	21	,	,	PUNCT
ma-91	129	22	2	2	NUM
ma-91	129	23	,	,	PUNCT
ma-91	129	24	.	.	PUNCT
ma-91	129	25	.	.	PUNCT
ma-91	129	26	.	.	PUNCT
ma-91	130	1	,	,	PUNCT
ma-91	130	2	k	k	PROPN
ma-91	130	3	and	and	CCONJ
ma-91	130	4	take	take	VERB
ma-91	130	5	the	the	DET
ma-91	130	6	average	average	NOUN
ma-91	130	7	for	for	ADP
ma-91	130	8	k	k	PROPN
ma-91	130	9	=	=	SYM
ma-91	130	10	1	1	NUM
ma-91	130	11	,	,	PUNCT
ma-91	130	12	.	.	PUNCT
ma-91	130	13	.	.	PUNCT
ma-91	130	14	.	.	PUNCT
ma-91	131	1	,	,	PUNCT
ma-91	131	2	kmax	kmax	PROPN
ma-91	131	3	.	.	PUNCT
ma-91	132	1	next	next	ADV
ma-91	132	2	,	,	PUNCT
ma-91	132	3	we	we	PRON
ma-91	132	4	plot	plot	VERB
ma-91	132	5	log(lkm	log(lkm	NOUN
ma-91	132	6	)	)	PUNCT
ma-91	132	7	versus	versus	ADP
ma-91	132	8	log(1	log(1	NOUN
ma-91	132	9	/	/	SYM
ma-91	133	1	k	k	NOUN
ma-91	133	2	)	)	PUNCT
ma-91	133	3	for	for	ADP
ma-91	133	4	different	different	ADJ
ma-91	133	5	time	time	NOUN
ma-91	133	6	interval	interval	NOUN
ma-91	134	1	k	k	PROPN
ma-91	134	2	.	.	PUNCT
ma-91	135	1	finally	finally	ADV
ma-91	135	2	,	,	PUNCT
ma-91	135	3	wecalculate	wecalculate	VERB
ma-91	135	4	the	the	DET
ma-91	135	5	slope	slope	NOUN
ma-91	135	6	of	of	ADP
ma-91	135	7	regressed	regress	VERB
ma-91	135	8	line	line	NOUN
ma-91	135	9	which	which	PRON
ma-91	135	10	is	be	AUX
ma-91	135	11	obtained	obtain	VERB
ma-91	135	12	by	by	ADP
ma-91	135	13	the	the	DET
ma-91	135	14	least	least	ADJ
ma-91	135	15	-	-	PUNCT
ma-91	135	16	squares	square	NOUN
ma-91	135	17	approximation	approximation	NOUN
ma-91	135	18	as	as	ADP
ma-91	135	19	thehiguchi	thehiguchi	NOUN
ma-91	135	20	fractal	fractal	ADJ
ma-91	135	21	dimension	dimension	NOUN
ma-91	135	22	for	for	ADP
ma-91	135	23	time	time	NOUN
ma-91	135	24	interval	interval	NOUN
ma-91	135	25	k	k	PROPN
ma-91	136	1	=	=	SYM
ma-91	136	2	500	500	NUM
ma-91	136	3	.	.	PUNCT
ma-91	137	1	we	we	PRON
ma-91	137	2	have	have	AUX
ma-91	137	3	estimated	estimate	VERB
ma-91	137	4	the	the	DET
ma-91	137	5	fractal	fractal	ADJ
ma-91	137	6	dimension	dimension	NOUN
ma-91	137	7	ofthe	ofthe	PROPN
ma-91	137	8	arizona	arizona	PROPN
ma-91	137	9	drought	drought	PROPN
ma-91	137	10	database	database	NOUN
ma-91	137	11	and	and	CCONJ
ma-91	137	12	plotted	plot	VERB
ma-91	137	13	their	their	PRON
ma-91	137	14	regression	regression	NOUN
ma-91	137	15	models	model	NOUN
ma-91	137	16	for	for	ADP
ma-91	137	17	each	each	DET
ma-91	137	18	data	datum	NOUN
ma-91	137	19	in	in	ADP
ma-91	137	20	figure	figure	NOUN
ma-91	137	21	(	(	PUNCT
ma-91	137	22	10	10	NUM
ma-91	137	23	)	)	PUNCT
ma-91	137	24	.	.	PUNCT
ma-91	138	1	figure	figure	NOUN
ma-91	138	2	10	10	NUM
ma-91	138	3	.	.	PUNCT
ma-91	139	1	plots	plot	NOUN
ma-91	139	2	of	of	ADP
ma-91	139	3	log(lkm	log(lkm	NOUN
ma-91	139	4	)	)	PUNCT
ma-91	139	5	versus	versus	ADP
ma-91	139	6	log(k	log(k	PROPN
ma-91	139	7	)	)	PUNCT
ma-91	139	8	for	for	ADP
ma-91	139	9	time	time	NOUN
ma-91	139	10	interval	interval	NOUN
ma-91	139	11	k	k	PROPN
ma-91	139	12	=	=	SYM
ma-91	139	13	500	500	NUM
ma-91	139	14	,	,	PUNCT
ma-91	139	15	the	the	DET
ma-91	139	16	logarithmicscale	logarithmicscale	NOUN
ma-91	139	17	and	and	CCONJ
ma-91	139	18	the	the	DET
ma-91	139	19	corresponding	corresponding	ADJ
ma-91	139	20	slope	slope	NOUN
ma-91	139	21	of	of	ADP
ma-91	139	22	fitted	fit	VERB
ma-91	139	23	regression	regression	NOUN
ma-91	139	24	line	line	NOUN
ma-91	139	25	(	(	PUNCT
ma-91	139	26	the	the	DET
ma-91	139	27	higuchi	higuchi	ADJ
ma-91	139	28	fractaldimension	fractaldimension	NOUN
ma-91	139	29	)	)	PUNCT
ma-91	139	30	for	for	ADP
ma-91	139	31	arizona	arizona	PROPN
ma-91	139	32	drought	drought	PROPN
ma-91	139	33	monitor	monitor	PROPN
ma-91	139	34	categories	category	NOUN
ma-91	139	35	database	database	NOUN
ma-91	139	36	(	(	PUNCT
ma-91	139	37	2000	2000	NUM
ma-91	139	38	present	present	NOUN
ma-91	139	39	)	)	PUNCT
ma-91	139	40	.	.	PUNCT
ma-91	140	1	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	PROPN
ma-91	140	2	eur	eur	PROPN
ma-91	140	3	.	.	PUNCT
ma-91	141	1	j.	j.	PROPN
ma-91	141	2	math	math	PROPN
ma-91	141	3	.	.	PUNCT
ma-91	142	1	anal	anal	PROPN
ma-91	142	2	.	.	PUNCT
ma-91	143	1	10.28924	10.28924	NUM
ma-91	143	2	/	/	SYM
ma-91	143	3	ada	ada	PROPN
ma-91	143	4	/	/	SYM
ma-91	143	5	ma.2.17	ma.2.17	PROPN
ma-91	143	6	113	113	NUM
ma-91	143	7	.	.	PUNCT
ma-91	144	1	discussion	discussion	NOUN
ma-91	144	2	drought	drought	NOUN
ma-91	144	3	as	as	ADP
ma-91	144	4	a	a	DET
ma-91	144	5	slowly	slowly	ADV
ma-91	144	6	progressed	progress	VERB
ma-91	144	7	and	and	CCONJ
ma-91	144	8	hidden	hide	VERB
ma-91	144	9	disaster	disaster	NOUN
ma-91	144	10	takes	take	VERB
ma-91	144	11	place	place	NOUN
ma-91	144	12	in	in	ADP
ma-91	144	13	normal	normal	ADJ
ma-91	144	14	cycles	cycle	NOUN
ma-91	144	15	of	of	ADP
ma-91	144	16	climate	climate	NOUN
ma-91	144	17	andit	andit	NOUN
ma-91	144	18	affects	affect	VERB
ma-91	144	19	adversely	adversely	ADV
ma-91	144	20	environment	environment	NOUN
ma-91	144	21	and	and	CCONJ
ma-91	144	22	economic	economic	ADJ
ma-91	144	23	the	the	DET
ma-91	144	24	same	same	ADJ
ma-91	144	25	as	as	ADP
ma-91	144	26	other	other	ADJ
ma-91	144	27	disasters	disaster	NOUN
ma-91	144	28	.	.	PUNCT
ma-91	145	1	therefore	therefore	ADV
ma-91	145	2	,	,	PUNCT
ma-91	145	3	character	character	NOUN
ma-91	145	4	-	-	PUNCT
ma-91	145	5	izing	ize	VERB
ma-91	145	6	the	the	DET
ma-91	145	7	complexity	complexity	NOUN
ma-91	145	8	of	of	ADP
ma-91	145	9	its	its	PRON
ma-91	145	10	nature	nature	NOUN
ma-91	145	11	will	will	AUX
ma-91	145	12	help	help	VERB
ma-91	145	13	to	to	PART
ma-91	145	14	predict	predict	VERB
ma-91	145	15	and	and	CCONJ
ma-91	145	16	recognize	recognize	VERB
ma-91	145	17	its	its	PRON
ma-91	145	18	different	different	ADJ
ma-91	145	19	stages	stage	NOUN
ma-91	145	20	before	before	ADP
ma-91	145	21	itdamages	itdamage	NOUN
ma-91	145	22	our	our	PRON
ma-91	145	23	societies	society	NOUN
ma-91	145	24	.	.	PUNCT
ma-91	146	1	in	in	ADP
ma-91	146	2	u.s	u.s	PROPN
ma-91	146	3	.	.	PROPN
ma-91	146	4	,	,	PUNCT
ma-91	146	5	the	the	DET
ma-91	146	6	national	national	ADJ
ma-91	146	7	integrated	integrate	VERB
ma-91	146	8	drought	drought	NOUN
ma-91	146	9	information	information	NOUN
ma-91	146	10	system	system	NOUN
ma-91	146	11	(	(	PUNCT
ma-91	146	12	nidis	nidi	NOUN
ma-91	146	13	)	)	PUNCT
ma-91	146	14	whichis	whichi	VERB
ma-91	146	15	a	a	DET
ma-91	146	16	multi	multi	ADJ
ma-91	146	17	-	-	ADJ
ma-91	146	18	agency	agency	ADJ
ma-91	146	19	partnership	partnership	NOUN
ma-91	146	20	,	,	PUNCT
ma-91	146	21	works	work	VERB
ma-91	146	22	on	on	ADP
ma-91	146	23	facilitating	facilitate	VERB
ma-91	146	24	drought	drought	NOUN
ma-91	146	25	recording	recording	NOUN
ma-91	146	26	,	,	PUNCT
ma-91	146	27	predicting	predicting	NOUN
ma-91	146	28	,	,	PUNCT
ma-91	146	29	risk	risk	NOUN
ma-91	146	30	managementand	managementand	NOUN
ma-91	146	31	planning	planning	NOUN
ma-91	146	32	at	at	ADP
ma-91	146	33	different	different	ADJ
ma-91	146	34	national	national	ADJ
ma-91	146	35	levels	level	NOUN
ma-91	146	36	.	.	PUNCT
ma-91	147	1	because	because	SCONJ
ma-91	147	2	of	of	ADP
ma-91	147	3	obvious	obvious	ADJ
ma-91	147	4	impacts	impact	NOUN
ma-91	147	5	of	of	ADP
ma-91	147	6	drought	drought	NOUN
ma-91	147	7	on	on	ADP
ma-91	147	8	agriculture	agriculture	NOUN
ma-91	147	9	,	,	PUNCT
ma-91	147	10	water	water	NOUN
ma-91	147	11	supply	supply	NOUN
ma-91	147	12	,	,	PUNCT
ma-91	147	13	energy	energy	NOUN
ma-91	147	14	production	production	NOUN
ma-91	147	15	,	,	PUNCT
ma-91	147	16	public	public	ADJ
ma-91	147	17	health	health	NOUN
ma-91	147	18	,	,	PUNCT
ma-91	147	19	and	and	CCONJ
ma-91	147	20	wildlife	wildlife	NOUN
ma-91	147	21	,	,	PUNCT
ma-91	147	22	we	we	PRON
ma-91	147	23	decided	decide	VERB
ma-91	147	24	to	to	PART
ma-91	147	25	find	find	VERB
ma-91	147	26	analytical	analytical	ADJ
ma-91	147	27	andcomputational	andcomputational	ADJ
ma-91	147	28	techniques	technique	NOUN
ma-91	147	29	to	to	PART
ma-91	147	30	characterize	characterize	VERB
ma-91	147	31	the	the	DET
ma-91	147	32	complexity	complexity	NOUN
ma-91	147	33	of	of	ADP
ma-91	147	34	different	different	ADJ
ma-91	147	35	levels	level	NOUN
ma-91	147	36	of	of	ADP
ma-91	147	37	drought	drought	NOUN
ma-91	147	38	from	from	ADP
ma-91	147	39	mod	mod	ADJ
ma-91	147	40	-	-	PUNCT
ma-91	147	41	erate	erate	ADJ
ma-91	147	42	drought	drought	NOUN
ma-91	147	43	d1	d1	PROPN
ma-91	147	44	to	to	ADP
ma-91	147	45	exceptional	exceptional	ADJ
ma-91	147	46	drought	drought	NOUN
ma-91	147	47	d4	d4	PROPN
ma-91	147	48	using	use	VERB
ma-91	147	49	the	the	DET
ma-91	147	50	arizona	arizona	PROPN
ma-91	147	51	drought	drought	PROPN
ma-91	147	52	monitor	monitor	NOUN
ma-91	147	53	databases	database	NOUN
ma-91	147	54	.	.	PUNCT
ma-91	148	1	weapplied	weapplie	VERB
ma-91	148	2	the	the	DET
ma-91	148	3	time	time	NOUN
ma-91	148	4	-	-	PUNCT
ma-91	148	5	frequency	frequency	NOUN
ma-91	148	6	analysis	analysis	NOUN
ma-91	148	7	using	use	VERB
ma-91	148	8	continuous	continuous	ADJ
ma-91	148	9	wavelet	wavelet	NOUN
ma-91	148	10	transform	transform	NOUN
ma-91	148	11	(	(	PUNCT
ma-91	148	12	cwt	cwt	NOUN
ma-91	148	13	)	)	PUNCT
ma-91	148	14	to	to	PART
ma-91	148	15	visualize	visualize	VERB
ma-91	148	16	thenon	thenon	NOUN
ma-91	148	17	-	-	NOUN
ma-91	148	18	linearity	linearity	NOUN
ma-91	148	19	in	in	ADP
ma-91	148	20	the	the	DET
ma-91	148	21	structure	structure	NOUN
ma-91	148	22	of	of	ADP
ma-91	148	23	five	five	NUM
ma-91	148	24	different	different	ADJ
ma-91	148	25	groups	group	NOUN
ma-91	148	26	of	of	ADP
ma-91	148	27	drought	drought	NOUN
ma-91	148	28	levels	level	NOUN
ma-91	148	29	in	in	ADP
ma-91	148	30	the	the	DET
ma-91	148	31	frequency	frequency	NOUN
ma-91	148	32	domain	domain	NOUN
ma-91	148	33	ofdata	ofdata	NOUN
ma-91	148	34	vibration	vibration	NOUN
ma-91	148	35	.	.	PUNCT
ma-91	149	1	moreover	moreover	ADV
ma-91	149	2	,	,	PUNCT
ma-91	149	3	we	we	PRON
ma-91	149	4	carried	carry	VERB
ma-91	149	5	out	out	ADP
ma-91	149	6	the	the	DET
ma-91	149	7	vibration	vibration	NOUN
ma-91	149	8	analysis	analysis	NOUN
ma-91	149	9	using	use	VERB
ma-91	149	10	the	the	DET
ma-91	149	11	power	power	NOUN
ma-91	149	12	-	-	PUNCT
ma-91	149	13	law	law	NOUN
ma-91	149	14	exponent	exponent	NOUN
ma-91	149	15	and(psd	and(psd	NOUN
ma-91	149	16	)	)	PUNCT
ma-91	149	17	to	to	PART
ma-91	149	18	discover	discover	VERB
ma-91	149	19	the	the	DET
ma-91	149	20	power	power	NOUN
ma-91	149	21	-	-	PUNCT
ma-91	149	22	law	law	NOUN
ma-91	149	23	and	and	CCONJ
ma-91	149	24	self	self	NOUN
ma-91	149	25	-	-	PUNCT
ma-91	149	26	similarity	similarity	NOUN
ma-91	149	27	behaviors	behavior	NOUN
ma-91	149	28	in	in	ADP
ma-91	149	29	the	the	DET
ma-91	149	30	structure	structure	NOUN
ma-91	149	31	of	of	ADP
ma-91	149	32	drought	drought	NOUN
ma-91	149	33	database.we	database.we	PRON
ma-91	149	34	performed	perform	VERB
ma-91	149	35	the	the	DET
ma-91	149	36	multi	multi	ADJ
ma-91	149	37	-	-	ADJ
ma-91	149	38	fractal	fractal	ADJ
ma-91	149	39	analysis	analysis	NOUN
ma-91	149	40	in	in	ADP
ma-91	149	41	studding	stud	VERB
ma-91	149	42	the	the	DET
ma-91	149	43	multi	multi	ADJ
ma-91	149	44	-	-	ADJ
ma-91	149	45	fractal	fractal	ADJ
ma-91	149	46	properties	property	NOUN
ma-91	149	47	of	of	ADP
ma-91	149	48	our	our	PRON
ma-91	149	49	time	time	NOUN
ma-91	149	50	seriesdata	seriesdata	PROPN
ma-91	149	51	.	.	PUNCT
ma-91	150	1	this	this	DET
ma-91	150	2	analysis	analysis	NOUN
ma-91	150	3	revealed	reveal	VERB
ma-91	150	4	the	the	DET
ma-91	150	5	presence	presence	NOUN
ma-91	150	6	of	of	ADP
ma-91	150	7	a	a	DET
ma-91	150	8	wide	wide	ADJ
ma-91	150	9	range	range	NOUN
ma-91	150	10	of	of	ADP
ma-91	150	11	scaling	scale	VERB
ma-91	150	12	exponent	exponent	NOUN
ma-91	150	13	for	for	ADP
ma-91	150	14	d0	d0	NOUN
ma-91	150	15	-	-	PUNCT
ma-91	150	16	d4	d4	PROPN
ma-91	150	17	andmulti	andmulti	ADJ
ma-91	150	18	-	-	ADJ
ma-91	150	19	fractal	fractal	ADJ
ma-91	150	20	structure	structure	NOUN
ma-91	150	21	of	of	ADP
ma-91	150	22	the	the	DET
ma-91	150	23	drought	drought	NOUN
ma-91	150	24	database	database	NOUN
ma-91	150	25	.	.	PUNCT
ma-91	151	1	we	we	PRON
ma-91	151	2	continued	continue	VERB
ma-91	151	3	our	our	PRON
ma-91	151	4	study	study	NOUN
ma-91	151	5	by	by	ADP
ma-91	151	6	measuring	measure	VERB
ma-91	151	7	the	the	DET
ma-91	151	8	fractalcomplexity	fractalcomplexity	NOUN
ma-91	151	9	in	in	ADP
ma-91	151	10	drought	drought	NOUN
ma-91	151	11	time	time	NOUN
ma-91	151	12	series	series	PROPN
ma-91	151	13	data	datum	NOUN
ma-91	151	14	using	use	VERB
ma-91	151	15	higuchi	higuchi	ADJ
ma-91	151	16	algorithm	algorithm	NOUN
ma-91	151	17	.	.	PUNCT
ma-91	152	1	this	this	DET
ma-91	152	2	analysis	analysis	NOUN
ma-91	152	3	helped	help	VERB
ma-91	152	4	to	to	ADP
ma-91	152	5	comparethe	comparethe	DET
ma-91	152	6	self	self	NOUN
ma-91	152	7	-	-	PUNCT
ma-91	152	8	similarity	similarity	NOUN
ma-91	152	9	of	of	ADP
ma-91	152	10	different	different	ADJ
ma-91	152	11	drought	drought	NOUN
ma-91	152	12	levels	level	NOUN
ma-91	152	13	.	.	PUNCT
ma-91	153	1	although	although	SCONJ
ma-91	153	2	these	these	DET
ma-91	153	3	methods	method	NOUN
ma-91	153	4	helped	help	VERB
ma-91	153	5	to	to	PART
ma-91	153	6	characterize	characterize	VERB
ma-91	153	7	thecomplexity	thecomplexity	NOUN
ma-91	153	8	in	in	ADP
ma-91	153	9	the	the	DET
ma-91	153	10	nature	nature	NOUN
ma-91	153	11	of	of	ADP
ma-91	153	12	our	our	PRON
ma-91	153	13	database	database	NOUN
ma-91	153	14	,	,	PUNCT
ma-91	153	15	however	however	ADV
ma-91	153	16	it	it	PRON
ma-91	153	17	requires	require	VERB
ma-91	153	18	further	further	ADJ
ma-91	153	19	studies	study	NOUN
ma-91	153	20	to	to	PART
ma-91	153	21	find	find	VERB
ma-91	153	22	an	an	DET
ma-91	153	23	appropriatemathematical	appropriatemathematical	ADJ
ma-91	153	24	model	model	NOUN
ma-91	153	25	(	(	PUNCT
ma-91	153	26	deterministic	deterministic	ADJ
ma-91	153	27	or	or	CCONJ
ma-91	153	28	stochastic	stochastic	NOUN
ma-91	153	29	)	)	PUNCT
ma-91	153	30	governing	govern	VERB
ma-91	153	31	the	the	DET
ma-91	153	32	complex	complex	ADJ
ma-91	153	33	dynamics	dynamic	NOUN
ma-91	153	34	of	of	ADP
ma-91	153	35	drought	drought	NOUN
ma-91	153	36	timeseries	timeserie	NOUN
ma-91	153	37	data	datum	NOUN
ma-91	153	38	.	.	PUNCT
ma-91	154	1	references	reference	NOUN
ma-91	154	2	[	[	X
ma-91	154	3	1	1	NUM
ma-91	154	4	]	]	X
ma-91	154	5	y.	y.	PROPN
ma-91	154	6	ding	ding	PROPN
ma-91	154	7	,	,	PUNCT
ma-91	154	8	m.j	m.j	PROPN
ma-91	154	9	.	.	PROPN
ma-91	154	10	hayes	hayes	PROPN
ma-91	154	11	,	,	PUNCT
ma-91	154	12	m.	m.	NOUN
ma-91	154	13	widhalm	widhalm	PROPN
ma-91	154	14	,	,	PUNCT
ma-91	154	15	measuring	measure	VERB
ma-91	154	16	economic	economic	ADJ
ma-91	154	17	impacts	impact	NOUN
ma-91	154	18	of	of	ADP
ma-91	154	19	drought	drought	NOUN
ma-91	154	20	:	:	PUNCT
ma-91	154	21	a	a	DET
ma-91	154	22	review	review	NOUN
ma-91	154	23	and	and	CCONJ
ma-91	154	24	discussion	discussion	NOUN
ma-91	154	25	,	,	PUNCT
ma-91	154	26	disaster	disaster	NOUN
ma-91	154	27	prevent.manage	prevent.manage	NOUN
ma-91	154	28	.	.	PROPN
ma-91	154	29	20	20	NUM
ma-91	154	30	(	(	PUNCT
ma-91	154	31	2011	2011	NUM
ma-91	154	32	)	)	PUNCT
ma-91	154	33	434–446	434–446	NUM
ma-91	154	34	.	.	PUNCT
ma-91	155	1	https://doi.org/10.1108/09653561111161752.[2	https://doi.org/10.1108/09653561111161752.[2	ADP
ma-91	155	2	]	]	X
ma-91	155	3	r.a	r.a	PROPN
ma-91	155	4	.	.	PROPN
ma-91	155	5	lawes	lawes	PROPN
ma-91	155	6	,	,	PUNCT
ma-91	156	1	r.s	r.s	PROPN
ma-91	156	2	.	.	PROPN
ma-91	156	3	kingwell	kingwell	PROPN
ma-91	156	4	,	,	PUNCT
ma-91	156	5	a	a	DET
ma-91	156	6	longitudinal	longitudinal	ADJ
ma-91	156	7	examination	examination	NOUN
ma-91	156	8	of	of	ADP
ma-91	156	9	business	business	NOUN
ma-91	156	10	performance	performance	NOUN
ma-91	156	11	indicators	indicator	NOUN
ma-91	156	12	for	for	ADP
ma-91	156	13	drought	drought	NOUN
ma-91	156	14	-	-	PUNCT
ma-91	156	15	affected	affect	VERB
ma-91	156	16	farms	farm	NOUN
ma-91	156	17	,	,	PUNCT
ma-91	156	18	agric	agric	PROPN
ma-91	156	19	.	.	PUNCT
ma-91	157	1	syst	syst	PROPN
ma-91	157	2	.	.	PUNCT
ma-91	158	1	106	106	NUM
ma-91	158	2	(	(	PUNCT
ma-91	158	3	2012	2012	NUM
ma-91	158	4	)	)	PUNCT
ma-91	158	5	94–101	94–101	NOUN
ma-91	158	6	.	.	PUNCT
ma-91	159	1	https://doi.org/10.1016/j.agsy.2011.10.006.[3	https://doi.org/10.1016/j.agsy.2011.10.006.[3	NOUN
ma-91	159	2	]	]	PUNCT
ma-91	159	3	m.	m.	PROPN
ma-91	159	4	alston	alston	PROPN
ma-91	159	5	,	,	PUNCT
ma-91	159	6	j.	j.	PROPN
ma-91	159	7	kent	kent	PROPN
ma-91	159	8	,	,	PUNCT
ma-91	159	9	social	social	ADJ
ma-91	159	10	impacts	impact	NOUN
ma-91	159	11	of	of	ADP
ma-91	159	12	drought	drought	NOUN
ma-91	159	13	:	:	PUNCT
ma-91	159	14	a	a	DET
ma-91	159	15	report	report	NOUN
ma-91	159	16	to	to	ADP
ma-91	159	17	nsw	nsw	PROPN
ma-91	159	18	agriculture	agriculture	NOUN
ma-91	159	19	,	,	PUNCT
ma-91	159	20	centre	centre	NOUN
ma-91	159	21	for	for	ADP
ma-91	159	22	rural	rural	ADJ
ma-91	159	23	social	social	ADJ
ma-91	159	24	re	re	NOUN
ma-91	159	25	-	-	NOUN
ma-91	159	26	search	search	NOUN
ma-91	159	27	,	,	PUNCT
ma-91	159	28	charles	charles	PROPN
ma-91	159	29	sturt	sturt	PROPN
ma-91	159	30	university	university	PROPN
ma-91	159	31	,	,	PUNCT
ma-91	159	32	wagga	wagga	PROPN
ma-91	159	33	,	,	PUNCT
ma-91	159	34	nsw	nsw	PROPN
ma-91	159	35	,	,	PUNCT
ma-91	159	36	2004	2004	NUM
ma-91	159	37	.	.	PUNCT
ma-91	160	1	https://www.csu.edu.au/__data/assets/pdf_file/	https://www.csu.edu.au/__data/assets/pdf_file/	NUM
ma-91	160	2	0008/704483	0008/704483	NUM
ma-91	160	3	/	/	SYM
ma-91	160	4	social	social	ADJ
ma-91	160	5	-	-	PUNCT
ma-91	160	6	impacts	impact	NOUN
ma-91	160	7	-	-	PUNCT
ma-91	160	8	of	of	ADP
ma-91	160	9	-	-	PUNCT
ma-91	160	10	drought.pdf.[4	drought.pdf.[4	NOUN
ma-91	160	11	]	]	X
ma-91	160	12	l.m	l.m	PROPN
ma-91	160	13	.	.	PROPN
ma-91	160	14	mosley	mosley	PROPN
ma-91	160	15	,	,	PUNCT
ma-91	160	16	drought	drought	NOUN
ma-91	160	17	impacts	impact	NOUN
ma-91	160	18	on	on	ADP
ma-91	160	19	the	the	DET
ma-91	160	20	water	water	NOUN
ma-91	160	21	quality	quality	NOUN
ma-91	160	22	of	of	ADP
ma-91	160	23	freshwater	freshwater	NOUN
ma-91	160	24	systems	system	NOUN
ma-91	160	25	;	;	PUNCT
ma-91	160	26	review	review	NOUN
ma-91	160	27	and	and	CCONJ
ma-91	160	28	integration	integration	NOUN
ma-91	160	29	,	,	PUNCT
ma-91	160	30	earth	earth	NOUN
ma-91	160	31	-	-	PUNCT
ma-91	160	32	sci	sci	PROPN
ma-91	160	33	.	.	PROPN
ma-91	160	34	rev.140	rev.140	PROPN
ma-91	160	35	(	(	PUNCT
ma-91	160	36	2015	2015	NUM
ma-91	160	37	)	)	PUNCT
ma-91	160	38	203–214	203–214	NUM
ma-91	160	39	.	.	PUNCT
ma-91	161	1	https://doi.org/10.1016/j.earscirev.2014.11.010.[5	https://doi.org/10.1016/j.earscirev.2014.11.010.[5	PROPN
ma-91	161	2	]	]	X
ma-91	161	3	d.a	d.a	PROPN
ma-91	161	4	.	.	PROPN
ma-91	161	5	wilhite	wilhite	PROPN
ma-91	161	6	,	,	PUNCT
ma-91	161	7	m.d	m.d	PROPN
ma-91	161	8	.	.	PROPN
ma-91	161	9	svoboda	svoboda	PROPN
ma-91	161	10	,	,	PUNCT
ma-91	161	11	m.j	m.j	PROPN
ma-91	161	12	.	.	PROPN
ma-91	161	13	hayes	hayes	PROPN
ma-91	161	14	,	,	PUNCT
ma-91	161	15	understanding	understand	VERB
ma-91	161	16	the	the	DET
ma-91	161	17	complex	complex	ADJ
ma-91	161	18	impacts	impact	NOUN
ma-91	161	19	of	of	ADP
ma-91	161	20	drought	drought	NOUN
ma-91	161	21	:	:	PUNCT
ma-91	161	22	a	a	DET
ma-91	161	23	key	key	NOUN
ma-91	161	24	to	to	ADP
ma-91	161	25	enhancingdrought	enhancingdrought	NOUN
ma-91	161	26	mitigation	mitigation	NOUN
ma-91	161	27	and	and	CCONJ
ma-91	161	28	preparedness	preparedness	NOUN
ma-91	161	29	,	,	PUNCT
ma-91	161	30	water	water	NOUN
ma-91	161	31	resour	resour	NOUN
ma-91	161	32	.	.	PUNCT
ma-91	162	1	manage	manage	VERB
ma-91	162	2	.	.	PUNCT
ma-91	163	1	21	21	NUM
ma-91	163	2	(	(	PUNCT
ma-91	163	3	2007	2007	NUM
ma-91	163	4	)	)	PUNCT
ma-91	164	1	763–774	763–774	NUM
ma-91	164	2	.	.	PUNCT
ma-91	165	1	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
ma-91	165	2	s11269	s11269	PROPN
ma-91	165	3	-	-	PUNCT
ma-91	165	4	006	006	NUM
ma-91	165	5	-	-	PUNCT
ma-91	165	6	9076	9076	NUM
ma-91	165	7	-	-	SYM
ma-91	165	8	5.[6	5.[6	PROPN
ma-91	165	9	]	]	PUNCT
ma-91	165	10	m.	m.	NOUN
ma-91	165	11	peña	peña	PROPN
ma-91	165	12	-	-	PUNCT
ma-91	165	13	gallardo	gallardo	PROPN
ma-91	165	14	,	,	PUNCT
ma-91	165	15	s.	s.	PROPN
ma-91	165	16	vicente	vicente	PROPN
ma-91	165	17	-	-	PUNCT
ma-91	165	18	serrano	serrano	PROPN
ma-91	165	19	,	,	PUNCT
ma-91	165	20	f.	f.	PROPN
ma-91	165	21	domínguez	domínguez	PROPN
ma-91	165	22	-	-	PUNCT
ma-91	165	23	castro	castro	PROPN
ma-91	165	24	,	,	PUNCT
ma-91	165	25	s.	s.	PROPN
ma-91	165	26	quiring	quiring	PROPN
ma-91	165	27	,	,	PUNCT
ma-91	165	28	m.	m.	PROPN
ma-91	165	29	svoboda	svoboda	PROPN
ma-91	165	30	,	,	PUNCT
ma-91	165	31	s.	s.	PROPN
ma-91	165	32	beguería	beguería	PROPN
ma-91	165	33	,	,	PUNCT
ma-91	165	34	j.	j.	PROPN
ma-91	165	35	hannaford	hannaford	PROPN
ma-91	165	36	,	,	PUNCT
ma-91	165	37	effectiveness	effectiveness	NOUN
ma-91	165	38	of	of	ADP
ma-91	165	39	drought	drought	NOUN
ma-91	165	40	indices	index	NOUN
ma-91	165	41	in	in	ADP
ma-91	165	42	identifying	identify	VERB
ma-91	165	43	impacts	impact	NOUN
ma-91	165	44	on	on	ADP
ma-91	165	45	major	major	ADJ
ma-91	165	46	crops	crop	NOUN
ma-91	165	47	across	across	ADP
ma-91	165	48	the	the	DET
ma-91	165	49	usa	usa	PROPN
ma-91	165	50	,	,	PUNCT
ma-91	165	51	clim	clim	PROPN
ma-91	165	52	.	.	PUNCT
ma-91	166	1	res	re	NOUN
ma-91	166	2	.	.	PUNCT
ma-91	167	1	75	75	NUM
ma-91	167	2	(	(	PUNCT
ma-91	167	3	2018	2018	NUM
ma-91	167	4	)	)	PUNCT
ma-91	168	1	221–240	221–240	NUM
ma-91	168	2	.	.	PUNCT
ma-91	169	1	https://doi.org/10.3354/cr01519	https://doi.org/10.3354/cr01519	PROPN
ma-91	169	2	.	.	PUNCT
ma-91	169	3	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	PROPN
ma-91	169	4	https://doi.org/10.1108/09653561111161752	https://doi.org/10.1108/09653561111161752	ADJ
ma-91	169	5	https://doi.org/10.1016/j.agsy.2011.10.006	https://doi.org/10.1016/j.agsy.2011.10.006	ADJ
ma-91	169	6	https://www.csu.edu.au/__data/assets/pdf_file/0008/704483/social-impacts-of-drought.pdf	https://www.csu.edu.au/__data/assets/pdf_file/0008/704483/social-impacts-of-drought.pdf	PROPN
ma-91	169	7	https://www.csu.edu.au/__data/assets/pdf_file/0008/704483/social-impacts-of-drought.pdf	https://www.csu.edu.au/__data/assets/pdf_file/0008/704483/social-impacts-of-drought.pdf	PROPN
ma-91	169	8	https://doi.org/10.1016/j.earscirev.2014.11.010	https://doi.org/10.1016/j.earscirev.2014.11.010	PROPN
ma-91	169	9	https://doi.org/10.1007/s11269-006-9076-5	https://doi.org/10.1007/s11269-006-9076-5	NUM
ma-91	169	10	https://doi.org/10.1007/s11269-006-9076-5	https://doi.org/10.1007/s11269-006-9076-5	NUM
ma-91	169	11	https://doi.org/10.3354/cr01519	https://doi.org/10.3354/cr01519	VERB
ma-91	169	12	eur	eur	NOUN
ma-91	169	13	.	.	PUNCT
ma-91	170	1	j.	j.	PROPN
ma-91	170	2	math	math	PROPN
ma-91	170	3	.	.	PUNCT
ma-91	171	1	anal	anal	PROPN
ma-91	171	2	.	.	PUNCT
ma-91	172	1	10.28924	10.28924	NUM
ma-91	172	2	/	/	SYM
ma-91	172	3	ada	ada	PROPN
ma-91	172	4	/	/	SYM
ma-91	172	5	ma.2.17	ma.2.17	PROPN
ma-91	172	6	12	12	NUM
ma-91	173	1	[	[	X
ma-91	173	2	7	7	X
ma-91	173	3	]	]	X
ma-91	173	4	h.	h.	PROPN
ma-91	173	5	wu	wu	PROPN
ma-91	173	6	,	,	PUNCT
ma-91	173	7	d.a	d.a	PROPN
ma-91	173	8	.	.	PROPN
ma-91	173	9	wilhite	wilhite	PROPN
ma-91	173	10	,	,	PUNCT
ma-91	173	11	an	an	DET
ma-91	173	12	operational	operational	ADJ
ma-91	173	13	agricultural	agricultural	ADJ
ma-91	173	14	drought	drought	NOUN
ma-91	173	15	risk	risk	NOUN
ma-91	173	16	assessment	assessment	NOUN
ma-91	173	17	model	model	NOUN
ma-91	173	18	for	for	ADP
ma-91	173	19	nebraska	nebraska	PROPN
ma-91	173	20	,	,	PUNCT
ma-91	173	21	usa	usa	PROPN
ma-91	173	22	,	,	PUNCT
ma-91	173	23	naturalhazards	naturalhazard	NOUN
ma-91	173	24	.	.	PUNCT
ma-91	174	1	33	33	NUM
ma-91	174	2	(	(	PUNCT
ma-91	174	3	2004	2004	NUM
ma-91	174	4	)	)	PUNCT
ma-91	174	5	1–21	1–21	PROPN
ma-91	174	6	.	.	PUNCT
ma-91	175	1	https://doi.org/10.1023/b:nhaz.0000034994.44357.75.[8	https://doi.org/10.1023/b:nhaz.0000034994.44357.75.[8	PROPN
ma-91	175	2	]	]	PUNCT
ma-91	175	3	j.	j.	PROPN
ma-91	175	4	christian	christian	PROPN
ma-91	175	5	-	-	PUNCT
ma-91	175	6	smith	smith	PROPN
ma-91	175	7	,	,	PUNCT
ma-91	175	8	m.c	m.c	PROPN
ma-91	175	9	.	.	PROPN
ma-91	175	10	levy	levy	PROPN
ma-91	175	11	,	,	PUNCT
ma-91	175	12	p.h	p.h	PROPN
ma-91	175	13	.	.	PROPN
ma-91	175	14	gleick	gleick	PROPN
ma-91	175	15	,	,	PUNCT
ma-91	175	16	maladaptation	maladaptation	NOUN
ma-91	175	17	to	to	ADP
ma-91	175	18	drought	drought	NOUN
ma-91	175	19	:	:	PUNCT
ma-91	175	20	a	a	DET
ma-91	175	21	case	case	NOUN
ma-91	175	22	report	report	NOUN
ma-91	175	23	from	from	ADP
ma-91	175	24	california	california	PROPN
ma-91	175	25	,	,	PUNCT
ma-91	175	26	usa	usa	PROPN
ma-91	175	27	,	,	PUNCT
ma-91	175	28	sustain.sci	sustain.sci	X
ma-91	175	29	.	.	PROPN
ma-91	176	1	10	10	NUM
ma-91	176	2	(	(	PUNCT
ma-91	176	3	2015	2015	NUM
ma-91	176	4	)	)	PUNCT
ma-91	177	1	491–501	491–501	NUM
ma-91	177	2	.	.	PUNCT
ma-91	178	1	https://doi.org/10.1007/s11625-014-0269-1.[9	https://doi.org/10.1007/s11625-014-0269-1.[9	NOUN
ma-91	178	2	]	]	X
ma-91	178	3	h.	h.	PROPN
ma-91	178	4	chang	chang	PROPN
ma-91	178	5	,	,	PUNCT
ma-91	178	6	m.r	m.r	PROPN
ma-91	178	7	.	.	PROPN
ma-91	178	8	bonnette	bonnette	PROPN
ma-91	178	9	,	,	PUNCT
ma-91	178	10	climate	climate	NOUN
ma-91	178	11	change	change	NOUN
ma-91	178	12	and	and	CCONJ
ma-91	178	13	water	water	NOUN
ma-91	178	14	-	-	PUNCT
ma-91	178	15	related	relate	VERB
ma-91	178	16	ecosystem	ecosystem	NOUN
ma-91	178	17	services	service	NOUN
ma-91	178	18	:	:	PUNCT
ma-91	178	19	impacts	impact	NOUN
ma-91	178	20	of	of	ADP
ma-91	178	21	drought	drought	NOUN
ma-91	178	22	in	in	ADP
ma-91	178	23	california	california	PROPN
ma-91	178	24	,	,	PUNCT
ma-91	178	25	usa	usa	PROPN
ma-91	178	26	,	,	PUNCT
ma-91	178	27	ecosyst	ecosyst	NOUN
ma-91	178	28	.	.	PUNCT
ma-91	179	1	health	health	NOUN
ma-91	179	2	sustain	sustain	NOUN
ma-91	179	3	.	.	PUNCT
ma-91	180	1	2	2	NUM
ma-91	180	2	(	(	PUNCT
ma-91	180	3	2016	2016	NUM
ma-91	180	4	)	)	PUNCT
ma-91	180	5	e01254	e01254	PROPN
ma-91	180	6	.	.	PUNCT
ma-91	181	1	https://doi.org/10.1002/ehs2.1254.[10	https://doi.org/10.1002/ehs2.1254.[10	ADV
ma-91	181	2	]	]	PUNCT
ma-91	181	3	t.	t.	PROPN
ma-91	181	4	tadesse	tadesse	PROPN
ma-91	181	5	,	,	PUNCT
ma-91	181	6	d.a	d.a	PROPN
ma-91	181	7	.	.	PROPN
ma-91	181	8	wilhite	wilhite	PROPN
ma-91	181	9	,	,	PUNCT
ma-91	181	10	s.k	s.k	PROPN
ma-91	181	11	.	.	PROPN
ma-91	181	12	harms	harm	NOUN
ma-91	181	13	,	,	PUNCT
ma-91	181	14	m.j	m.j	PROPN
ma-91	181	15	.	.	PROPN
ma-91	181	16	hayes	hayes	PROPN
ma-91	181	17	,	,	PUNCT
ma-91	181	18	s.	s.	PROPN
ma-91	181	19	goddard	goddard	PROPN
ma-91	181	20	,	,	PUNCT
ma-91	181	21	drought	drought	NOUN
ma-91	181	22	monitoring	monitoring	NOUN
ma-91	181	23	using	use	VERB
ma-91	181	24	data	datum	NOUN
ma-91	181	25	mining	mining	NOUN
ma-91	181	26	tech	tech	NOUN
ma-91	181	27	-	-	PUNCT
ma-91	181	28	niques	nique	NOUN
ma-91	181	29	:	:	PUNCT
ma-91	181	30	a	a	DET
ma-91	181	31	case	case	NOUN
ma-91	181	32	study	study	NOUN
ma-91	181	33	for	for	ADP
ma-91	181	34	nebraska	nebraska	PROPN
ma-91	181	35	,	,	PUNCT
ma-91	181	36	usa	usa	PROPN
ma-91	181	37	,	,	PUNCT
ma-91	181	38	nat	nat	PROPN
ma-91	181	39	.	.	PUNCT
ma-91	182	1	hazards	hazard	NOUN
ma-91	182	2	.	.	PUNCT
ma-91	183	1	33	33	NUM
ma-91	183	2	(	(	PUNCT
ma-91	183	3	2004	2004	NUM
ma-91	183	4	)	)	PUNCT
ma-91	183	5	137–159	137–159	NUM
ma-91	183	6	.	.	PUNCT
ma-91	184	1	https://doi.org/10.1023/b	https://doi.org/10.1023/b	NOUN
ma-91	184	2	:	:	PUNCT
ma-91	184	3	nhaz.0000035020.76733.0b.[11	nhaz.0000035020.76733.0b.[11	PROPN
ma-91	184	4	]	]	X
ma-91	184	5	j.w	j.w	PROPN
ma-91	184	6	.	.	PROPN
ma-91	184	7	nielsen	nielsen	PROPN
ma-91	184	8	-	-	PUNCT
ma-91	184	9	gammon	gammon	PROPN
ma-91	184	10	,	,	PUNCT
ma-91	184	11	the	the	DET
ma-91	184	12	2011	2011	NUM
ma-91	184	13	texas	texas	PROPN
ma-91	184	14	drought	drought	PROPN
ma-91	184	15	,	,	PUNCT
ma-91	184	16	texas	texas	PROPN
ma-91	184	17	water	water	PROPN
ma-91	184	18	j.	j.	PROPN
ma-91	184	19	3	3	NUM
ma-91	184	20	(	(	PUNCT
ma-91	184	21	2012	2012	NUM
ma-91	184	22	)	)	PUNCT
ma-91	184	23	59	59	NUM
ma-91	184	24	-	-	SYM
ma-91	184	25	95	95	NUM
ma-91	184	26	.	.	PUNCT
ma-91	185	1	https://doi.org/10.21423/twj	https://doi.org/10.21423/twj	NOUN
ma-91	185	2	.	.	PUNCT
ma-91	186	1	v3i1.6463.[12	v3i1.6463.[12	PROPN
ma-91	186	2	]	]	X
ma-91	186	3	j.s	j.s	PROPN
ma-91	186	4	.	.	PROPN
ma-91	186	5	clark	clark	PROPN
ma-91	186	6	,	,	PUNCT
ma-91	186	7	e.c	e.c	PROPN
ma-91	186	8	.	.	PROPN
ma-91	186	9	grimm	grimm	PROPN
ma-91	186	10	,	,	PUNCT
ma-91	186	11	j.j	j.j	PROPN
ma-91	186	12	.	.	PROPN
ma-91	186	13	donovan	donovan	PROPN
ma-91	186	14	,	,	PUNCT
ma-91	186	15	s.c	s.c	PROPN
ma-91	186	16	.	.	PROPN
ma-91	186	17	fritz	fritz	PROPN
ma-91	186	18	,	,	PUNCT
ma-91	186	19	d.r	d.r	PROPN
ma-91	186	20	.	.	PROPN
ma-91	186	21	engstrom	engstrom	PROPN
ma-91	186	22	,	,	PUNCT
ma-91	186	23	j.e	j.e	PROPN
ma-91	186	24	.	.	PROPN
ma-91	186	25	almendinger	almendinger	PROPN
ma-91	186	26	,	,	PUNCT
ma-91	186	27	drought	drought	NOUN
ma-91	186	28	cycles	cycle	NOUN
ma-91	186	29	and	and	CCONJ
ma-91	186	30	landscaperesponses	landscaperesponse	NOUN
ma-91	186	31	to	to	ADP
ma-91	186	32	past	past	ADJ
ma-91	186	33	aridity	aridity	NOUN
ma-91	186	34	on	on	ADP
ma-91	186	35	prairies	prairie	NOUN
ma-91	186	36	of	of	ADP
ma-91	186	37	the	the	DET
ma-91	186	38	northern	northern	ADJ
ma-91	186	39	great	great	ADJ
ma-91	186	40	plains	plain	NOUN
ma-91	186	41	,	,	PUNCT
ma-91	186	42	usa	usa	PROPN
ma-91	186	43	,	,	PUNCT
ma-91	186	44	ecology	ecology	NOUN
ma-91	186	45	.	.	PUNCT
ma-91	187	1	83	83	NUM
ma-91	187	2	(	(	PUNCT
ma-91	187	3	2002	2002	NUM
ma-91	187	4	)	)	PUNCT
ma-91	188	1	595–601	595–601	NUM
ma-91	188	2	.	.	PUNCT
ma-91	189	1	https://doi	https://doi	PROPN
ma-91	189	2	.	.	PUNCT
ma-91	189	3	org/10.1890/0012	org/10.1890/0012	NOUN
ma-91	189	4	-	-	PUNCT
ma-91	189	5	9658(2002)083[0595	9658(2002)083[0595	NUM
ma-91	189	6	:	:	PUNCT
ma-91	189	7	dcalrt]2.0.co;2.[13	dcalrt]2.0.co;2.[13	PROPN
ma-91	189	8	]	]	X
ma-91	189	9	i.w	i.w	PROPN
ma-91	189	10	.	.	PROPN
ma-91	189	11	jung	jung	PROPN
ma-91	189	12	,	,	PUNCT
ma-91	189	13	h.	h.	PROPN
ma-91	189	14	chang	chang	PROPN
ma-91	189	15	,	,	PUNCT
ma-91	189	16	climate	climate	NOUN
ma-91	189	17	change	change	NOUN
ma-91	189	18	impacts	impact	NOUN
ma-91	189	19	on	on	ADP
ma-91	189	20	spatial	spatial	ADJ
ma-91	189	21	patterns	pattern	NOUN
ma-91	189	22	in	in	ADP
ma-91	189	23	drought	drought	NOUN
ma-91	189	24	risk	risk	NOUN
ma-91	189	25	in	in	ADP
ma-91	189	26	the	the	DET
ma-91	189	27	willamette	willamette	PROPN
ma-91	189	28	river	river	PROPN
ma-91	189	29	basin	basin	NOUN
ma-91	189	30	,	,	PUNCT
ma-91	189	31	oregon	oregon	PROPN
ma-91	189	32	,	,	PUNCT
ma-91	189	33	usa	usa	PROPN
ma-91	189	34	,	,	PUNCT
ma-91	189	35	theor	theor	PROPN
ma-91	189	36	.	.	PUNCT
ma-91	190	1	appl	appl	PROPN
ma-91	190	2	.	.	PROPN
ma-91	190	3	climatol	climatol	NOUN
ma-91	190	4	.	.	PUNCT
ma-91	191	1	108	108	NUM
ma-91	191	2	(	(	PUNCT
ma-91	191	3	2011	2011	NUM
ma-91	191	4	)	)	PUNCT
ma-91	192	1	355–371	355–371	NUM
ma-91	192	2	.	.	PUNCT
ma-91	193	1	https://doi.org/10.1007/s00704-011-0531-8.[14	https://doi.org/10.1007/s00704-011-0531-8.[14	PROPN
ma-91	193	2	]	]	PUNCT
ma-91	193	3	y.	y.	PROPN
ma-91	193	4	yang	yang	PROPN
ma-91	193	5	,	,	PUNCT
ma-91	193	6	m.	m.	PROPN
ma-91	193	7	anderson	anderson	PROPN
ma-91	193	8	,	,	PUNCT
ma-91	193	9	f.	f.	PROPN
ma-91	193	10	gao	gao	PROPN
ma-91	193	11	,	,	PUNCT
ma-91	193	12	c.	c.	PROPN
ma-91	193	13	hain	hain	PROPN
ma-91	193	14	,	,	PUNCT
ma-91	193	15	a.	a.	NOUN
ma-91	193	16	noormets	noormet	NOUN
ma-91	193	17	,	,	PUNCT
ma-91	193	18	g.	g.	PROPN
ma-91	193	19	sun	sun	PROPN
ma-91	193	20	,	,	PUNCT
ma-91	193	21	r.	r.	PROPN
ma-91	193	22	wynne	wynne	PROPN
ma-91	193	23	,	,	PUNCT
ma-91	193	24	v.	v.	PROPN
ma-91	193	25	thomas	thomas	PROPN
ma-91	193	26	,	,	PUNCT
ma-91	193	27	l.	l.	PROPN
ma-91	193	28	sun	sun	PROPN
ma-91	193	29	,	,	PUNCT
ma-91	193	30	investigating	investigate	VERB
ma-91	193	31	impactsof	impactsof	NOUN
ma-91	193	32	drought	drought	NOUN
ma-91	193	33	and	and	CCONJ
ma-91	193	34	disturbance	disturbance	NOUN
ma-91	193	35	on	on	ADP
ma-91	193	36	evapotranspiration	evapotranspiration	NOUN
ma-91	193	37	over	over	ADP
ma-91	193	38	a	a	DET
ma-91	193	39	forested	forest	VERB
ma-91	193	40	landscape	landscape	NOUN
ma-91	193	41	in	in	ADP
ma-91	193	42	north	north	PROPN
ma-91	193	43	carolina	carolina	PROPN
ma-91	193	44	,	,	PUNCT
ma-91	193	45	usa	usa	PROPN
ma-91	193	46	using	use	VERB
ma-91	193	47	highspatiotemporal	highspatiotemporal	ADJ
ma-91	193	48	resolution	resolution	NOUN
ma-91	193	49	remotely	remotely	ADV
ma-91	193	50	sensed	sense	VERB
ma-91	193	51	data	datum	NOUN
ma-91	193	52	,	,	PUNCT
ma-91	193	53	remote	remote	ADJ
ma-91	193	54	sens	sen	NOUN
ma-91	193	55	.	.	PROPN
ma-91	193	56	environ	environ	PROPN
ma-91	193	57	.	.	PROPN
ma-91	194	1	238	238	NUM
ma-91	194	2	(	(	PUNCT
ma-91	194	3	2020	2020	NUM
ma-91	194	4	)	)	PUNCT
ma-91	194	5	111018	111018	NUM
ma-91	194	6	.	.	PUNCT
ma-91	195	1	https://doi.org/10	https://doi.org/10	PROPN
ma-91	195	2	.	.	PUNCT
ma-91	196	1	1016	1016	NUM
ma-91	196	2	/	/	SYM
ma-91	196	3	j.rse.2018.12.017.[15	j.rse.2018.12.017.[15	NOUN
ma-91	196	4	]	]	PUNCT
ma-91	196	5	r.	r.	PROPN
ma-91	196	6	albarakat	albarakat	PROPN
ma-91	196	7	,	,	PUNCT
ma-91	196	8	v.	v.	ADP
ma-91	196	9	lakshmi	lakshmi	NOUN
ma-91	196	10	,	,	PUNCT
ma-91	196	11	comparison	comparison	NOUN
ma-91	196	12	of	of	ADP
ma-91	196	13	normalized	normalize	VERB
ma-91	196	14	difference	difference	NOUN
ma-91	196	15	vegetation	vegetation	NOUN
ma-91	196	16	index	index	NOUN
ma-91	196	17	derived	derive	VERB
ma-91	196	18	from	from	ADP
ma-91	196	19	landsat	landsat	PROPN
ma-91	196	20	,	,	PUNCT
ma-91	196	21	modis	modis	PROPN
ma-91	196	22	,	,	PUNCT
ma-91	196	23	andavhrr	andavhrr	NOUN
ma-91	196	24	for	for	ADP
ma-91	196	25	the	the	DET
ma-91	196	26	mesopotamian	mesopotamian	ADJ
ma-91	196	27	marshes	marsh	NOUN
ma-91	196	28	between	between	ADP
ma-91	196	29	2002	2002	NUM
ma-91	196	30	and	and	CCONJ
ma-91	196	31	2018	2018	NUM
ma-91	196	32	,	,	PUNCT
ma-91	196	33	remote	remote	ADJ
ma-91	196	34	sens	sen	NOUN
ma-91	196	35	.	.	PROPN
ma-91	196	36	11	11	NUM
ma-91	196	37	(	(	PUNCT
ma-91	196	38	2019	2019	NUM
ma-91	196	39	)	)	PUNCT
ma-91	196	40	1245	1245	NUM
ma-91	196	41	.	.	PUNCT
ma-91	197	1	https://doi.org/	https://doi.org/	VERB
ma-91	197	2	10.3390	10.3390	NUM
ma-91	197	3	/	/	SYM
ma-91	197	4	rs11101245.[16	rs11101245.[16	NOUN
ma-91	197	5	]	]	X
ma-91	197	6	k.i	k.i	PROPN
ma-91	197	7	.	.	PROPN
ma-91	197	8	wheeler	wheeler	PROPN
ma-91	197	9	,	,	PUNCT
ma-91	197	10	m.c	m.c	PROPN
ma-91	197	11	.	.	PROPN
ma-91	197	12	dietze	dietze	PROPN
ma-91	197	13	,	,	PUNCT
ma-91	197	14	a	a	DET
ma-91	197	15	statistical	statistical	ADJ
ma-91	197	16	model	model	NOUN
ma-91	197	17	for	for	ADP
ma-91	197	18	estimating	estimate	VERB
ma-91	197	19	midday	midday	NOUN
ma-91	197	20	ndvi	ndvi	NOUN
ma-91	197	21	from	from	ADP
ma-91	197	22	the	the	DET
ma-91	197	23	geostationary	geostationary	ADJ
ma-91	197	24	operationalenvironmental	operationalenvironmental	ADJ
ma-91	197	25	satellite	satellite	NOUN
ma-91	197	26	(	(	PUNCT
ma-91	197	27	goes	go	VERB
ma-91	197	28	)	)	PUNCT
ma-91	197	29	16	16	NUM
ma-91	197	30	and	and	CCONJ
ma-91	197	31	17	17	NUM
ma-91	197	32	,	,	PUNCT
ma-91	197	33	remote	remote	ADJ
ma-91	197	34	sens	sen	NOUN
ma-91	197	35	.	.	PROPN
ma-91	197	36	11	11	NUM
ma-91	197	37	(	(	PUNCT
ma-91	197	38	2019	2019	NUM
ma-91	197	39	)	)	PUNCT
ma-91	197	40	2507	2507	NUM
ma-91	197	41	.	.	PUNCT
ma-91	198	1	https://doi.org/10.3390/rs11212507.[17	https://doi.org/10.3390/rs11212507.[17	VERB
ma-91	198	2	]	]	PUNCT
ma-91	198	3	y.	y.	PROPN
ma-91	198	4	wang	wang	PROPN
ma-91	198	5	,	,	PUNCT
ma-91	198	6	c.	c.	PROPN
ma-91	198	7	zhang	zhang	PROPN
ma-91	198	8	,	,	PUNCT
ma-91	198	9	f.-r	f.-r	PROPN
ma-91	198	10	.	.	PUNCT
ma-91	199	1	meng	meng	PROPN
ma-91	199	2	,	,	PUNCT
ma-91	199	3	c.p.-a	c.p.-a	PROPN
ma-91	199	4	.	.	PROPN
ma-91	199	5	bourque	bourque	PROPN
ma-91	199	6	,	,	PUNCT
ma-91	199	7	c.	c.	PROPN
ma-91	199	8	zhang	zhang	PROPN
ma-91	199	9	,	,	PUNCT
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ma-91	199	11	of	of	ADP
ma-91	199	12	the	the	DET
ma-91	199	13	suitability	suitability	NOUN
ma-91	199	14	of	of	ADP
ma-91	199	15	six	six	NUM
ma-91	199	16	drought	drought	NOUN
ma-91	199	17	indicesin	indicesin	NOUN
ma-91	199	18	naturally	naturally	ADV
ma-91	199	19	growing	grow	VERB
ma-91	199	20	,	,	PUNCT
ma-91	199	21	transitional	transitional	ADJ
ma-91	199	22	vegetation	vegetation	NOUN
ma-91	199	23	zones	zone	NOUN
ma-91	199	24	in	in	ADP
ma-91	199	25	inner	inner	ADJ
ma-91	199	26	mongolia	mongolia	PROPN
ma-91	199	27	(	(	PUNCT
ma-91	199	28	china	china	PROPN
ma-91	199	29	)	)	PUNCT
ma-91	199	30	,	,	PUNCT
ma-91	199	31	plos	plos	PROPN
ma-91	199	32	one	one	NUM
ma-91	199	33	.	.	PUNCT
ma-91	199	34	15	15	NUM
ma-91	199	35	(	(	PUNCT
ma-91	199	36	2020	2020	NUM
ma-91	199	37	)	)	PUNCT
ma-91	199	38	e0233525	e0233525	NOUN
ma-91	199	39	.	.	PUNCT
ma-91	200	1	https://doi.org/10.1371/journal.pone.0233525.[18	https://doi.org/10.1371/journal.pone.0233525.[18	PROPN
ma-91	200	2	]	]	X
ma-91	200	3	m.	m.	PROPN
ma-91	200	4	svoboda	svoboda	PROPN
ma-91	200	5	,	,	PUNCT
ma-91	200	6	d.	d.	PROPN
ma-91	200	7	lecomte	lecomte	PROPN
ma-91	200	8	,	,	PUNCT
ma-91	200	9	m.	m.	NOUN
ma-91	200	10	hayes	hayes	PROPN
ma-91	200	11	,	,	PUNCT
ma-91	200	12	r.	r.	PROPN
ma-91	200	13	heim	heim	PROPN
ma-91	200	14	,	,	PUNCT
ma-91	200	15	k.	k.	PROPN
ma-91	200	16	gleason	gleason	PROPN
ma-91	200	17	,	,	PUNCT
ma-91	200	18	j.	j.	PROPN
ma-91	200	19	angel	angel	PROPN
ma-91	200	20	,	,	PUNCT
ma-91	200	21	b.	b.	PROPN
ma-91	200	22	rippey	rippey	PROPN
ma-91	200	23	,	,	PUNCT
ma-91	200	24	r.	r.	PROPN
ma-91	200	25	tinker	tinker	PROPN
ma-91	200	26	,	,	PUNCT
ma-91	200	27	m.	m.	NOUN
ma-91	200	28	palecki	palecki	PROPN
ma-91	200	29	,	,	PUNCT
ma-91	200	30	d.	d.	PROPN
ma-91	200	31	stooksbury	stooksbury	PROPN
ma-91	200	32	,	,	PUNCT
ma-91	200	33	d.	d.	PROPN
ma-91	200	34	miskus	miskus	PROPN
ma-91	200	35	,	,	PUNCT
ma-91	200	36	s.	s.	PROPN
ma-91	200	37	stephens	stephens	PROPN
ma-91	200	38	,	,	PUNCT
ma-91	200	39	the	the	DET
ma-91	200	40	drought	drought	NOUN
ma-91	200	41	monitor	monitor	NOUN
ma-91	200	42	,	,	PUNCT
ma-91	200	43	bull	bull	NOUN
ma-91	200	44	.	.	PUNCT
ma-91	201	1	amer	amer	PROPN
ma-91	201	2	.	.	PUNCT
ma-91	201	3	meteor	meteor	PROPN
ma-91	201	4	.	.	PUNCT
ma-91	202	1	soc	soc	PROPN
ma-91	202	2	.	.	PUNCT
ma-91	203	1	83	83	NUM
ma-91	203	2	(	(	PUNCT
ma-91	203	3	2002	2002	NUM
ma-91	203	4	)	)	PUNCT
ma-91	203	5	1181–1190	1181–1190	NUM
ma-91	203	6	.	.	PUNCT
ma-91	204	1	https://doi.org/	https://doi.org/	PROPN
ma-91	204	2	10.1175/1520	10.1175/1520	NUM
ma-91	204	3	-	-	SYM
ma-91	204	4	0477	0477	NUM
ma-91	204	5	-	-	PUNCT
ma-91	204	6	83.8.1181.[19	83.8.1181.[19	NUM
ma-91	204	7	]	]	PUNCT
ma-91	204	8	s.	s.	PROPN
ma-91	204	9	mallat	mallat	PROPN
ma-91	204	10	,	,	PUNCT
ma-91	204	11	a	a	DET
ma-91	204	12	wavelet	wavelet	NOUN
ma-91	204	13	tour	tour	NOUN
ma-91	204	14	of	of	ADP
ma-91	204	15	signal	signal	NOUN
ma-91	204	16	processing	processing	NOUN
ma-91	204	17	,	,	PUNCT
ma-91	204	18	elsevier	elsevier	NOUN
ma-91	204	19	,	,	PUNCT
ma-91	204	20	1999	1999	NUM
ma-91	204	21	.	.	PUNCT
ma-91	205	1	https://www.di.ens.fr/~mallat/papiers/	https://www.di.ens.fr/~mallat/papiers/	NOUN
ma-91	205	2	wavelettourchap1	wavelettourchap1	PROPN
ma-91	205	3	-	-	PUNCT
ma-91	205	4	2	2	NUM
ma-91	205	5	-	-	PUNCT
ma-91	205	6	3.pdf.[20	3.pdf.[20	NOUN
ma-91	205	7	]	]	X
ma-91	205	8	l.	l.	PROPN
ma-91	205	9	rodríguez	rodríguez	PROPN
ma-91	205	10	-	-	PUNCT
ma-91	205	11	liñares	liñares	PROPN
ma-91	205	12	,	,	PUNCT
ma-91	205	13	a.j	a.j	PROPN
ma-91	205	14	.	.	PROPN
ma-91	205	15	méndez	méndez	PROPN
ma-91	205	16	,	,	PUNCT
ma-91	205	17	m.j	m.j	PROPN
ma-91	205	18	.	.	PROPN
ma-91	205	19	lado	lado	PROPN
ma-91	205	20	,	,	PUNCT
ma-91	205	21	d.n	d.n	PROPN
ma-91	205	22	.	.	PROPN
ma-91	205	23	olivieri	olivieri	PROPN
ma-91	205	24	,	,	PUNCT
ma-91	205	25	x.a	x.a	PROPN
ma-91	205	26	.	.	PROPN
ma-91	205	27	vila	vila	PROPN
ma-91	205	28	,	,	PUNCT
ma-91	205	29	i.	i.	PROPN
ma-91	205	30	gómez	gómez	PROPN
ma-91	205	31	-	-	PUNCT
ma-91	205	32	conde	conde	PROPN
ma-91	205	33	,	,	PUNCT
ma-91	205	34	an	an	DET
ma-91	205	35	open	open	ADJ
ma-91	205	36	source	source	NOUN
ma-91	205	37	tool	tool	NOUN
ma-91	205	38	forheart	forheart	NOUN
ma-91	205	39	rate	rate	NOUN
ma-91	205	40	variability	variability	NOUN
ma-91	205	41	spectral	spectral	ADJ
ma-91	205	42	analysis	analysis	NOUN
ma-91	205	43	,	,	PUNCT
ma-91	205	44	computer	computer	NOUN
ma-91	205	45	meth	meth	NOUN
ma-91	205	46	.	.	PUNCT
ma-91	206	1	programs	program	NOUN
ma-91	206	2	biomed	biome	VERB
ma-91	206	3	.	.	PUNCT
ma-91	207	1	103	103	NUM
ma-91	207	2	(	(	PUNCT
ma-91	207	3	2011	2011	NUM
ma-91	207	4	)	)	PUNCT
ma-91	207	5	39–50	39–50	NOUN
ma-91	207	6	.	.	PUNCT
ma-91	208	1	https://doi.org/	https://doi.org/	VERB
ma-91	208	2	10.1016	10.1016	NUM
ma-91	208	3	/	/	SYM
ma-91	208	4	j.cmpb.2010.05.012.[21	j.cmpb.2010.05.012.[21	PROPN
ma-91	208	5	]	]	X
ma-91	208	6	h.	h.	PROPN
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ma-91	208	8	,	,	PUNCT
ma-91	208	9	p.	p.	PROPN
ma-91	208	10	abry	abry	NOUN
ma-91	208	11	,	,	PUNCT
ma-91	208	12	multifractality	multifractality	NOUN
ma-91	208	13	tests	test	NOUN
ma-91	208	14	using	use	VERB
ma-91	208	15	bootstrapped	bootstrappe	VERB
ma-91	208	16	wavelet	wavelet	NOUN
ma-91	208	17	leaders	leader	NOUN
ma-91	208	18	,	,	PUNCT
ma-91	208	19	ieee	ieee	PROPN
ma-91	208	20	trans	trans	PROPN
ma-91	208	21	.	.	PROPN
ma-91	208	22	signal	signal	PROPN
ma-91	208	23	process	process	NOUN
ma-91	208	24	.	.	PUNCT
ma-91	209	1	55	55	NUM
ma-91	209	2	(	(	PUNCT
ma-91	209	3	2007)4811–4820	2007)4811–4820	NUM
ma-91	209	4	.	.	PUNCT
ma-91	210	1	https://doi.org/10.1109/tsp.2007.896269.[22	https://doi.org/10.1109/tsp.2007.896269.[22	PROPN
ma-91	210	2	]	]	PUNCT
ma-91	210	3	h.	h.	PROPN
ma-91	210	4	wendt	wendt	PROPN
ma-91	210	5	,	,	PUNCT
ma-91	210	6	p.	p.	PROPN
ma-91	210	7	abry	abry	PROPN
ma-91	210	8	,	,	PUNCT
ma-91	210	9	s.	s.	PROPN
ma-91	210	10	jaffard	jaffard	PROPN
ma-91	210	11	,	,	PUNCT
ma-91	210	12	bootstrap	bootstrap	NOUN
ma-91	210	13	for	for	ADP
ma-91	210	14	empirical	empirical	ADJ
ma-91	210	15	multifractal	multifractal	ADJ
ma-91	210	16	analysis	analysis	NOUN
ma-91	210	17	,	,	PUNCT
ma-91	210	18	ieee	ieee	NOUN
ma-91	210	19	signal	signal	NOUN
ma-91	210	20	process	process	NOUN
ma-91	210	21	.	.	PUNCT
ma-91	211	1	mag	mag	INTJ
ma-91	211	2	.	.	PROPN
ma-91	212	1	24	24	NUM
ma-91	212	2	(	(	PUNCT
ma-91	212	3	2007)38–48	2007)38–48	NUM
ma-91	212	4	.	.	PUNCT
ma-91	213	1	https://doi.org/10.1109/msp.2007.4286563.[23	https://doi.org/10.1109/msp.2007.4286563.[23	NOUN
ma-91	213	2	]	]	X
ma-91	213	3	s.	s.	PROPN
ma-91	213	4	jaffard	jaffard	PROPN
ma-91	213	5	,	,	PUNCT
ma-91	213	6	b.	b.	PROPN
ma-91	213	7	lashermes	lashermes	PROPN
ma-91	213	8	,	,	PUNCT
ma-91	213	9	p.	p.	NOUN
ma-91	213	10	abry	abry	NOUN
ma-91	213	11	,	,	PUNCT
ma-91	213	12	wavelet	wavelet	NOUN
ma-91	213	13	analysis	analysis	NOUN
ma-91	213	14	and	and	CCONJ
ma-91	213	15	applications	application	NOUN
ma-91	213	16	,	,	PUNCT
ma-91	213	17	springer	springer	NOUN
ma-91	213	18	,	,	PUNCT
ma-91	213	19	201	201	NUM
ma-91	213	20	-	-	SYM
ma-91	213	21	246	246	NUM
ma-91	213	22	,	,	PUNCT
ma-91	213	23	2006	2006	NUM
ma-91	213	24	.	.	PUNCT
ma-91	214	1	https://	https://	PROPN
ma-91	214	2	hal-ens-lyon.archives-ouvertes.fr/ensl-00195088.[24	hal-ens-lyon.archives-ouvertes.fr/ensl-00195088.[24	PROPN
ma-91	214	3	]	]	PUNCT
ma-91	214	4	s.	s.	PROPN
ma-91	214	5	jaffard	jaffard	PROPN
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ma-91	214	7	wavelet	wavelet	NOUN
ma-91	214	8	techniques	technique	NOUN
ma-91	214	9	in	in	ADP
ma-91	214	10	multifractal	multifractal	ADJ
ma-91	214	11	analysis	analysis	NOUN
ma-91	214	12	,	,	PUNCT
ma-91	214	13	paris	paris	PROPN
ma-91	214	14	univ	univ	PROPN
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ma-91	215	1	(	(	PUNCT
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ma-91	215	4	,	,	PUNCT
ma-91	215	5	2004	2004	NUM
ma-91	215	6	.	.	PUNCT
ma-91	216	1	https://apps.dtic.mil/sti/	https://apps.dtic.mil/sti/	ADJ
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ma-91	216	3	/	/	SYM
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ma-91	216	5	.	.	PUNCT
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ma-91	219	11	https://www.di.ens.fr/~mallat/papiers/wavelettourchap1-2-3.pdf	https://www.di.ens.fr/~mallat/papiers/wavelettourchap1-2-3.pdf	PROPN
ma-91	219	12	https://www.di.ens.fr/~mallat/papiers/wavelettourchap1-2-3.pdf	https://www.di.ens.fr/~mallat/papiers/wavelettourchap1-2-3.pdf	PROPN
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ma-91	219	22	.	.	PUNCT
ma-91	220	1	j.	j.	PROPN
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ma-91	220	3	.	.	PUNCT
ma-91	221	1	anal	anal	PROPN
ma-91	221	2	.	.	PUNCT
ma-91	222	1	10.28924	10.28924	NUM
ma-91	222	2	/	/	SYM
ma-91	222	3	ada	ada	PROPN
ma-91	222	4	/	/	SYM
ma-91	222	5	ma.2.17	ma.2.17	PROPN
ma-91	222	6	13	13	NUM
ma-91	223	1	[	[	X
ma-91	223	2	25	25	NUM
ma-91	223	3	]	]	X
ma-91	223	4	r.h	r.h	PROPN
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ma-91	223	8	multifractal	multifractal	ADJ
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ma-91	223	11	rice	rice	PROPN
ma-91	223	12	univ	univ	PROPN
ma-91	223	13	.	.	PUNCT
ma-91	224	1	(	(	PUNCT
ma-91	224	2	houston	houston	PROPN
ma-91	224	3	)	)	PUNCT
ma-91	224	4	,	,	PUNCT
ma-91	224	5	1999	1999	NUM
ma-91	224	6	.	.	PUNCT
ma-91	225	1	https://apps.dtic.mil/sti/pdfs/ada531331	https://apps.dtic.mil/sti/pdfs/ada531331	NOUN
ma-91	225	2	.	.	PUNCT
ma-91	226	1	pdf.[26	pdf.[26	ADP
ma-91	226	2	]	]	X
ma-91	226	3	b.b	b.b	PROPN
ma-91	226	4	.	.	PROPN
ma-91	226	5	mandelbrot	mandelbrot	PROPN
ma-91	226	6	,	,	PUNCT
ma-91	226	7	possible	possible	ADJ
ma-91	226	8	refinement	refinement	NOUN
ma-91	226	9	of	of	ADP
ma-91	226	10	the	the	DET
ma-91	226	11	lognormal	lognormal	ADJ
ma-91	226	12	hypothesis	hypothesis	NOUN
ma-91	226	13	concerning	concern	VERB
ma-91	226	14	the	the	DET
ma-91	226	15	distribution	distribution	NOUN
ma-91	226	16	of	of	ADP
ma-91	226	17	energy	energy	NOUN
ma-91	226	18	dissipationin	dissipationin	ADJ
ma-91	226	19	intermittent	intermittent	ADJ
ma-91	226	20	turbulence	turbulence	NOUN
ma-91	226	21	,	,	PUNCT
ma-91	226	22	statistical	statistical	ADJ
ma-91	226	23	models	model	NOUN
ma-91	226	24	and	and	CCONJ
ma-91	226	25	turbulence	turbulence	NOUN
ma-91	226	26	,	,	PUNCT
ma-91	226	27	springer	springer	NOUN
ma-91	226	28	,	,	PUNCT
ma-91	226	29	333	333	NUM
ma-91	226	30	-	-	SYM
ma-91	226	31	351	351	NUM
ma-91	226	32	,	,	PUNCT
ma-91	226	33	1972	1972	NUM
ma-91	226	34	.	.	PUNCT
ma-91	227	1	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
ma-91	227	2	3	3	NUM
ma-91	227	3	-	-	SYM
ma-91	227	4	540	540	NUM
ma-91	227	5	-	-	PUNCT
ma-91	227	6	05716	05716	NUM
ma-91	227	7	-	-	PUNCT
ma-91	227	8	1_20.[27	1_20.[27	NUM
ma-91	227	9	]	]	PUNCT
ma-91	227	10	r.	r.	PROPN
ma-91	227	11	riedi	riedi	PROPN
ma-91	227	12	,	,	PUNCT
ma-91	227	13	an	an	DET
ma-91	227	14	improved	improve	VERB
ma-91	227	15	multifractal	multifractal	ADJ
ma-91	227	16	formalism	formalism	NOUN
ma-91	227	17	and	and	CCONJ
ma-91	227	18	self	self	NOUN
ma-91	227	19	-	-	PUNCT
ma-91	227	20	similar	similar	ADJ
ma-91	227	21	measures	measure	NOUN
ma-91	227	22	,	,	PUNCT
ma-91	227	23	journal	journal	NOUN
ma-91	227	24	of	of	ADP
ma-91	227	25	mathematical	mathematical	ADJ
ma-91	227	26	analysis	analysis	NOUN
ma-91	227	27	andapplications	andapplication	NOUN
ma-91	227	28	.	.	PUNCT
ma-91	228	1	189	189	NUM
ma-91	228	2	(	(	PUNCT
ma-91	228	3	1995	1995	NUM
ma-91	228	4	)	)	PUNCT
ma-91	229	1	462–490	462–490	NUM
ma-91	229	2	.	.	PUNCT
ma-91	229	3	https://doi.org/10.1006/jmaa.1995.1030.[28	https://doi.org/10.1006/jmaa.1995.1030.[28	X
ma-91	229	4	]	]	PUNCT
ma-91	229	5	h.g.e	h.g.e	NOUN
ma-91	229	6	.	.	PUNCT
ma-91	229	7	hentschel	hentschel	PROPN
ma-91	229	8	,	,	PUNCT
ma-91	229	9	i.	i.	PROPN
ma-91	229	10	procaccia	procaccia	PROPN
ma-91	229	11	,	,	PUNCT
ma-91	229	12	the	the	DET
ma-91	229	13	infinite	infinite	ADJ
ma-91	229	14	number	number	NOUN
ma-91	229	15	of	of	ADP
ma-91	229	16	generalized	generalized	ADJ
ma-91	229	17	dimensions	dimension	NOUN
ma-91	229	18	of	of	ADP
ma-91	229	19	fractals	fractal	NOUN
ma-91	229	20	and	and	CCONJ
ma-91	229	21	strange	strange	ADJ
ma-91	229	22	attractors	attractor	NOUN
ma-91	229	23	,	,	PUNCT
ma-91	229	24	physica	physica	NOUN
ma-91	229	25	d	d	NOUN
ma-91	229	26	:	:	PUNCT
ma-91	229	27	nonlinear	nonlinear	ADJ
ma-91	229	28	phenomena	phenomenon	NOUN
ma-91	229	29	.	.	PUNCT
ma-91	230	1	8	8	NUM
ma-91	230	2	(	(	PUNCT
ma-91	230	3	1983	1983	NUM
ma-91	230	4	)	)	PUNCT
ma-91	231	1	435–444	435–444	NUM
ma-91	231	2	.	.	PUNCT
ma-91	232	1	https://doi.org/10.1016/0167-2789(83)90235-x.[29	https://doi.org/10.1016/0167-2789(83)90235-x.[29	PROPN
ma-91	232	2	]	]	X
ma-91	232	3	t.c	t.c	PROPN
ma-91	232	4	.	.	PUNCT
ma-91	232	5	halsey	halsey	PROPN
ma-91	232	6	,	,	PUNCT
ma-91	232	7	m.h	m.h	PROPN
ma-91	232	8	.	.	PROPN
ma-91	232	9	jensen	jensen	PROPN
ma-91	232	10	,	,	PUNCT
ma-91	232	11	l.p	l.p	PROPN
ma-91	232	12	.	.	PROPN
ma-91	232	13	kadanoff	kadanoff	PROPN
ma-91	232	14	,	,	PUNCT
ma-91	232	15	i.	i.	PROPN
ma-91	232	16	procaccia	procaccia	PROPN
ma-91	232	17	,	,	PUNCT
ma-91	232	18	b.i	b.i	PROPN
ma-91	232	19	.	.	PROPN
ma-91	232	20	shraiman	shraiman	PROPN
ma-91	232	21	,	,	PUNCT
ma-91	232	22	fractal	fractal	ADJ
ma-91	232	23	measures	measure	NOUN
ma-91	232	24	and	and	CCONJ
ma-91	232	25	their	their	PRON
ma-91	232	26	singularities	singularity	NOUN
ma-91	232	27	:	:	PUNCT
ma-91	232	28	thecharacterization	thecharacterization	NOUN
ma-91	232	29	of	of	ADP
ma-91	232	30	strange	strange	ADJ
ma-91	232	31	sets	set	NOUN
ma-91	232	32	,	,	PUNCT
ma-91	232	33	phys	phy	NOUN
ma-91	232	34	.	.	PUNCT
ma-91	233	1	rev	rev	PROPN
ma-91	233	2	.	.	PUNCT
ma-91	233	3	a.	a.	PROPN
ma-91	233	4	33	33	NUM
ma-91	233	5	(	(	PUNCT
ma-91	233	6	1986	1986	NUM
ma-91	233	7	)	)	PUNCT
ma-91	233	8	1141–1151	1141–1151	NUM
ma-91	233	9	.	.	PUNCT
ma-91	234	1	https://doi.org/10.1103/physreva.33	https://doi.org/10.1103/physreva.33	PROPN
ma-91	234	2	.	.	PUNCT
ma-91	235	1	1141.[30	1141.[30	NUM
ma-91	235	2	]	]	X
ma-91	235	3	c.	c.	PROPN
ma-91	235	4	panigrahy	panigrahy	PROPN
ma-91	235	5	,	,	PUNCT
ma-91	235	6	a.	a.	PROPN
ma-91	235	7	garcia	garcia	PROPN
ma-91	235	8	-	-	PUNCT
ma-91	235	9	pedrero	pedrero	PROPN
ma-91	235	10	,	,	PUNCT
ma-91	235	11	a.	a.	NOUN
ma-91	235	12	seal	seal	NOUN
ma-91	235	13	,	,	PUNCT
ma-91	235	14	d.	d.	PROPN
ma-91	235	15	rodríguez	rodríguez	PROPN
ma-91	235	16	-	-	PUNCT
ma-91	235	17	esparragón	esparragón	PROPN
ma-91	235	18	,	,	PUNCT
ma-91	235	19	n.	n.	NOUN
ma-91	235	20	mahato	mahato	PROPN
ma-91	235	21	,	,	PUNCT
ma-91	235	22	c.	c.	PROPN
ma-91	235	23	gonzalo	gonzalo	PROPN
ma-91	235	24	-	-	PUNCT
ma-91	235	25	martín	martín	PROPN
ma-91	235	26	,	,	PUNCT
ma-91	235	27	an	an	DET
ma-91	235	28	approxi	approxi	NOUN
ma-91	235	29	-	-	PUNCT
ma-91	235	30	mated	mate	VERB
ma-91	235	31	box	box	NOUN
ma-91	235	32	height	height	NOUN
ma-91	235	33	for	for	ADP
ma-91	235	34	differential	differential	ADJ
ma-91	235	35	-	-	PUNCT
ma-91	235	36	box	box	NOUN
ma-91	235	37	-	-	PUNCT
ma-91	235	38	counting	counting	NOUN
ma-91	235	39	method	method	NOUN
ma-91	235	40	to	to	PART
ma-91	235	41	estimate	estimate	VERB
ma-91	235	42	fractal	fractal	ADJ
ma-91	235	43	dimensions	dimension	NOUN
ma-91	235	44	of	of	ADP
ma-91	235	45	gray	gray	ADJ
ma-91	235	46	-	-	PUNCT
ma-91	235	47	scale	scale	NOUN
ma-91	235	48	images	image	NOUN
ma-91	235	49	,	,	PUNCT
ma-91	235	50	entropy.19	entropy.19	NOUN
ma-91	235	51	(	(	PUNCT
ma-91	235	52	2017	2017	NUM
ma-91	235	53	)	)	PUNCT
ma-91	235	54	534	534	NUM
ma-91	235	55	.	.	PUNCT
ma-91	236	1	https://doi.org/10.3390/e19100534.[31	https://doi.org/10.3390/e19100534.[31	X
ma-91	236	2	]	]	X
ma-91	236	3	y.	y.	PROPN
ma-91	236	4	öztürk	öztürk	PROPN
ma-91	236	5	,	,	PUNCT
ma-91	236	6	fractal	fractal	ADJ
ma-91	236	7	dimension	dimension	NOUN
ma-91	236	8	as	as	ADP
ma-91	236	9	a	a	DET
ma-91	236	10	diagnostic	diagnostic	ADJ
ma-91	236	11	tool	tool	NOUN
ma-91	236	12	for	for	ADP
ma-91	236	13	cardiac	cardiac	ADJ
ma-91	236	14	diseases	disease	NOUN
ma-91	236	15	,	,	PUNCT
ma-91	236	16	int	int	NOUN
ma-91	236	17	.	.	PUNCT
ma-91	237	1	j.	j.	PROPN
ma-91	237	2	current	current	PROPN
ma-91	237	3	eng	eng	PROPN
ma-91	237	4	.	.	PROPN
ma-91	238	1	technol	technol	PROPN
ma-91	238	2	.	.	PROPN
ma-91	238	3	9	9	NUM
ma-91	238	4	(	(	PUNCT
ma-91	238	5	2019),425	2019),425	NUM
ma-91	238	6	-	-	SYM
ma-91	238	7	431	431	NUM
ma-91	238	8	.	.	PUNCT
ma-91	239	1	https://doi.org/10.14741/ijcet/v.9.3.13.[32	https://doi.org/10.14741/ijcet/v.9.3.13.[32	NOUN
ma-91	239	2	]	]	X
ma-91	239	3	t.	t.	PROPN
ma-91	239	4	higuchi	higuchi	PROPN
ma-91	239	5	,	,	PUNCT
ma-91	239	6	approach	approach	NOUN
ma-91	239	7	to	to	ADP
ma-91	239	8	an	an	DET
ma-91	239	9	irregular	irregular	ADJ
ma-91	239	10	time	time	NOUN
ma-91	239	11	series	series	NOUN
ma-91	239	12	on	on	ADP
ma-91	239	13	the	the	DET
ma-91	239	14	basis	basis	NOUN
ma-91	239	15	of	of	ADP
ma-91	239	16	the	the	DET
ma-91	239	17	fractal	fractal	ADJ
ma-91	239	18	theory	theory	NOUN
ma-91	239	19	,	,	PUNCT
ma-91	239	20	physica	physica	NOUN
ma-91	239	21	d	d	NOUN
ma-91	239	22	:	:	PUNCT
ma-91	239	23	nonlinear	nonlinear	ADJ
ma-91	239	24	phenomena.31	phenomena.31	NOUN
ma-91	239	25	(	(	PUNCT
ma-91	239	26	1988	1988	NUM
ma-91	239	27	)	)	PUNCT
ma-91	239	28	277–283	277–283	NUM
ma-91	239	29	.	.	PUNCT
ma-91	240	1	https://doi.org/10.1016/0167-2789(88)90081-4.[33	https://doi.org/10.1016/0167-2789(88)90081-4.[33	NOUN
ma-91	240	2	]	]	X
ma-91	240	3	r.s	r.s	PROPN
ma-91	240	4	.	.	PROPN
ma-91	240	5	gomolka	gomolka	PROPN
ma-91	240	6	,	,	PUNCT
ma-91	240	7	s.	s.	PROPN
ma-91	240	8	kampusch	kampusch	PROPN
ma-91	240	9	,	,	PUNCT
ma-91	240	10	e.	e.	PROPN
ma-91	240	11	kaniusas	kaniusas	PROPN
ma-91	240	12	,	,	PUNCT
ma-91	240	13	f.	f.	PROPN
ma-91	240	14	thürk	thürk	PROPN
ma-91	240	15	,	,	PUNCT
ma-91	240	16	j.c	j.c	PROPN
ma-91	240	17	.	.	PROPN
ma-91	240	18	széles	széles	PROPN
ma-91	240	19	,	,	PUNCT
ma-91	240	20	w.	w.	PROPN
ma-91	240	21	klonowski	klonowski	PROPN
ma-91	240	22	,	,	PUNCT
ma-91	240	23	higuchi	higuchi	PROPN
ma-91	240	24	fractal	fractal	ADJ
ma-91	240	25	dimension	dimension	NOUN
ma-91	240	26	of	of	ADP
ma-91	240	27	heart	heart	NOUN
ma-91	240	28	ratevariability	ratevariability	NOUN
ma-91	240	29	during	during	ADP
ma-91	240	30	percutaneous	percutaneous	ADJ
ma-91	240	31	auricular	auricular	ADJ
ma-91	240	32	vagus	vagus	NOUN
ma-91	240	33	nerve	nerve	NOUN
ma-91	240	34	stimulation	stimulation	NOUN
ma-91	240	35	in	in	ADP
ma-91	240	36	healthy	healthy	ADJ
ma-91	240	37	and	and	CCONJ
ma-91	240	38	diabetic	diabetic	ADJ
ma-91	240	39	subjects	subject	NOUN
ma-91	240	40	,	,	PUNCT
ma-91	240	41	front	front	NOUN
ma-91	240	42	.	.	PUNCT
ma-91	241	1	physiol	physiol	PROPN
ma-91	241	2	.	.	PUNCT
ma-91	242	1	9(2018	9(2018	NUM
ma-91	242	2	)	)	PUNCT
ma-91	242	3	1162	1162	NUM
ma-91	242	4	.	.	PUNCT
ma-91	243	1	https://doi.org/10.3389/fphys.2018.01162.[34	https://doi.org/10.3389/fphys.2018.01162.[34	PROPN
ma-91	243	2	]	]	X
ma-91	243	3	m.j	m.j	PROPN
ma-91	243	4	.	.	PROPN
ma-91	243	5	katz	katz	PROPN
ma-91	243	6	,	,	PUNCT
ma-91	243	7	fractals	fractal	NOUN
ma-91	243	8	and	and	CCONJ
ma-91	243	9	the	the	DET
ma-91	243	10	analysis	analysis	NOUN
ma-91	243	11	of	of	ADP
ma-91	243	12	waveforms	waveform	NOUN
ma-91	243	13	,	,	PUNCT
ma-91	243	14	computers	computer	NOUN
ma-91	243	15	biol	biol	PROPN
ma-91	243	16	.	.	PUNCT
ma-91	244	1	med	med	PROPN
ma-91	244	2	.	.	PUNCT
ma-91	245	1	18	18	NUM
ma-91	245	2	(	(	PUNCT
ma-91	245	3	1988	1988	NUM
ma-91	245	4	)	)	PUNCT
ma-91	246	1	145–156	145–156	NUM
ma-91	246	2	.	.	PUNCT
ma-91	247	1	https://doi.org/	https://doi.org/	VERB
ma-91	247	2	10.1016/0010	10.1016/0010	NUM
ma-91	247	3	-	-	SYM
ma-91	247	4	4825(88)90041	4825(88)90041	NOUN
ma-91	247	5	-	-	NOUN
ma-91	247	6	8	8	NUM
ma-91	247	7	.	.	PUNCT
ma-91	248	1	https://doi.org/10.28924/ada/ma.2.17	https://doi.org/10.28924/ada/ma.2.17	PROPN
ma-91	248	2	https://apps.dtic.mil/sti/pdfs/ada531331.pdf	https://apps.dtic.mil/sti/pdfs/ada531331.pdf	PROPN
ma-91	248	3	https://apps.dtic.mil/sti/pdfs/ada531331.pdf	https://apps.dtic.mil/sti/pdfs/ada531331.pdf	PROPN
ma-91	248	4	https://doi.org/10.1007/3-540-05716-1_20	https://doi.org/10.1007/3-540-05716-1_20	PROPN
ma-91	248	5	https://doi.org/10.1007/3-540-05716-1_20	https://doi.org/10.1007/3-540-05716-1_20	PROPN
ma-91	248	6	https://doi.org/10.1006/jmaa.1995.1030	https://doi.org/10.1006/jmaa.1995.1030	PROPN
ma-91	248	7	https://doi.org/10.1016/0167-2789(83)90235-x	https://doi.org/10.1016/0167-2789(83)90235-x	PROPN
ma-91	248	8	https://doi.org/10.1103/physreva.33.1141	https://doi.org/10.1103/physreva.33.1141	NOUN
ma-91	248	9	https://doi.org/10.1103/physreva.33.1141	https://doi.org/10.1103/physreva.33.1141	NOUN
ma-91	248	10	https://doi.org/10.3390/e19100534	https://doi.org/10.3390/e19100534	NUM
ma-91	248	11	https://doi.org/10.14741/ijcet/v.9.3.13	https://doi.org/10.14741/ijcet/v.9.3.13	NOUN
ma-91	248	12	https://doi.org/10.1016/0167-2789(88)90081-4	https://doi.org/10.1016/0167-2789(88)90081-4	PROPN
ma-91	248	13	https://doi.org/10.1016/0010-4825(88)90041-8	https://doi.org/10.1016/0010-4825(88)90041-8	NOUN
ma-91	248	14	https://doi.org/10.1016/0010-4825(88)90041-8	https://doi.org/10.1016/0010-4825(88)90041-8	NOUN
ma-91	248	15	1	1	NUM
ma-91	248	16	.	.	PUNCT
ma-91	248	17	introduction	introduction	NOUN
ma-91	248	18	2	2	NUM
ma-91	248	19	.	.	PUNCT
ma-91	249	1	materials	material	NOUN
ma-91	249	2	,	,	PUNCT
ma-91	249	3	methods	method	NOUN
ma-91	249	4	and	and	CCONJ
ma-91	249	5	results	result	VERB
ma-91	249	6	2.1	2.1	NUM
ma-91	249	7	.	.	PUNCT
ma-91	250	1	data	datum	NOUN
ma-91	250	2	2.2	2.2	NUM
ma-91	250	3	.	.	PUNCT
ma-91	250	4	time	time	NOUN
ma-91	250	5	-	-	PUNCT
ma-91	250	6	frequency	frequency	NOUN
ma-91	250	7	analysis	analysis	NOUN
ma-91	250	8	and	and	CCONJ
ma-91	250	9	continuous	continuous	ADJ
ma-91	250	10	wavelet	wavelet	NOUN
ma-91	250	11	transform	transform	NOUN
ma-91	250	12	(	(	PUNCT
ma-91	250	13	cwt	cwt	NOUN
ma-91	250	14	)	)	PUNCT
ma-91	250	15	2.3	2.3	NUM
ma-91	250	16	.	.	PUNCT
ma-91	251	1	vibration	vibration	NOUN
ma-91	251	2	frequency	frequency	NOUN
ma-91	251	3	analysis	analysis	NOUN
ma-91	251	4	using	use	VERB
ma-91	251	5	power	power	NOUN
ma-91	251	6	spectral	spectral	ADJ
ma-91	251	7	densities	density	NOUN
ma-91	251	8	(	(	PUNCT
ma-91	251	9	psd	psd	NOUN
ma-91	251	10	)	)	PUNCT
ma-91	251	11	2.4	2.4	NUM
ma-91	251	12	.	.	PUNCT
ma-91	252	1	multifractal	multifractal	ADJ
ma-91	252	2	analysis	analysis	NOUN
ma-91	252	3	and	and	CCONJ
ma-91	252	4	discrete	discrete	ADJ
ma-91	252	5	wavelet	wavelet	NOUN
ma-91	252	6	transform	transform	NOUN
ma-91	252	7	(	(	PUNCT
ma-91	252	8	dwt	dwt	NOUN
ma-91	252	9	)	)	PUNCT
ma-91	252	10	2.5	2.5	NUM
ma-91	252	11	.	.	PUNCT
ma-91	253	1	higuchi	higuchi	PROPN
ma-91	253	2	fractal	fractal	PROPN
ma-91	253	3	dimension	dimension	PROPN
ma-91	253	4	algorithm	algorithm	PROPN
ma-91	253	5	3	3	NUM
ma-91	253	6	.	.	PUNCT
ma-91	254	1	discussion	discussion	NOUN
ma-91	254	2	references	reference	NOUN