Spatial-temporal analysis of urban water resource vulnerability in China

Because of urbanization and climate change, urban water environment faces a terrible vulnerability trend. This study aims to estimate the vulnerability of the urban water environment by quantifying the vulnerability indicators of urban water resources. This proposed indicator has two domains of deve...

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Autores principales:	Menglu Sun, Takaaki Kato
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Urban water resource vulnerability indicator Spatial–temporal analysis Vector autoregression model Metropolis China Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/cc301c77d97046d2a4bd586b9cca652a
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id	oai:doaj.org-article:cc301c77d97046d2a4bd586b9cca652a
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spelling	oai:doaj.org-article:cc301c77d97046d2a4bd586b9cca652a2021-12-04T04:33:26ZSpatial-temporal analysis of urban water resource vulnerability in China1470-160X10.1016/j.ecolind.2021.108436https://doaj.org/article/cc301c77d97046d2a4bd586b9cca652a2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21011018https://doaj.org/toc/1470-160XBecause of urbanization and climate change, urban water environment faces a terrible vulnerability trend. This study aims to estimate the vulnerability of the urban water environment by quantifying the vulnerability indicators of urban water resources. This proposed indicator has two domains of development pressure and management capability. Four province-level municipalities, Beijing, Tianjin, Shanghai, and Chongqing, and their neighboring provinces in China were selected as study sites. Regression analyses and vector autoregression models were conducted to study the temporal characteristics of the urban water vulnerability indicators. A comparison between the indicator values in the two domains distinguished three types of metropolises and revealed different levels of anthropogenic factors as the cause of water vulnerability. The combination of contemporaneous regression results and the Granger causality testing results using the vector autoregression models was used to identify different patterns of dependency between the metropolises and their neighboring provinces. Beijing and Tianjin have more obvious spatial -temporal relationships with neighborhood provinces.Menglu SunTakaaki KatoElsevierarticleUrban water resource vulnerability indicatorSpatial–temporal analysisVector autoregression modelMetropolisChinaEcologyQH540-549.5ENEcological Indicators, Vol 133, Iss , Pp 108436- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Urban water resource vulnerability indicator Spatial–temporal analysis Vector autoregression model Metropolis China Ecology QH540-549.5
spellingShingle	Urban water resource vulnerability indicator Spatial–temporal analysis Vector autoregression model Metropolis China Ecology QH540-549.5 Menglu Sun Takaaki Kato Spatial-temporal analysis of urban water resource vulnerability in China
description	Because of urbanization and climate change, urban water environment faces a terrible vulnerability trend. This study aims to estimate the vulnerability of the urban water environment by quantifying the vulnerability indicators of urban water resources. This proposed indicator has two domains of development pressure and management capability. Four province-level municipalities, Beijing, Tianjin, Shanghai, and Chongqing, and their neighboring provinces in China were selected as study sites. Regression analyses and vector autoregression models were conducted to study the temporal characteristics of the urban water vulnerability indicators. A comparison between the indicator values in the two domains distinguished three types of metropolises and revealed different levels of anthropogenic factors as the cause of water vulnerability. The combination of contemporaneous regression results and the Granger causality testing results using the vector autoregression models was used to identify different patterns of dependency between the metropolises and their neighboring provinces. Beijing and Tianjin have more obvious spatial -temporal relationships with neighborhood provinces.
format	article
author	Menglu Sun Takaaki Kato
author_facet	Menglu Sun Takaaki Kato
author_sort	Menglu Sun
title	Spatial-temporal analysis of urban water resource vulnerability in China
title_short	Spatial-temporal analysis of urban water resource vulnerability in China
title_full	Spatial-temporal analysis of urban water resource vulnerability in China
title_fullStr	Spatial-temporal analysis of urban water resource vulnerability in China
title_full_unstemmed	Spatial-temporal analysis of urban water resource vulnerability in China
title_sort	spatial-temporal analysis of urban water resource vulnerability in china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/cc301c77d97046d2a4bd586b9cca652a
work_keys_str_mv	AT menglusun spatialtemporalanalysisofurbanwaterresourcevulnerabilityinchina AT takaakikato spatialtemporalanalysisofurbanwaterresourcevulnerabilityinchina
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Spatial-temporal analysis of urban water resource vulnerability in China

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