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Article: Climate change-induced drought evolution over the past 50 years in the southern Chinese Loess Plateau

TitleClimate change-induced drought evolution over the past 50 years in the southern Chinese Loess Plateau
Authors
KeywordsClimate change
Driving factors
Drought index
SWAT
Loess plateau
Issue Date2019
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/envsoft
Citation
Environmental Modelling & Software, 2019, v. 122, p. article no. 104519 How to Cite?
AbstractUnderstanding the spatiotemporal evolution of drought is vital for effective water resources management especially in arid and semi-arid regions and under climate change. In this study, we developed the Soil and Water Assessment Tool (SWAT)-based drought evaluation tool and used it to investigate the spatiotemporal change of drought and its driving factors over the past 50 years (1965–2014) in a typical semi-arid area, the Wei River Basin, in the Loess Plateau. The temporal trend analysis of precipitation showed an intensified hydrological cycle with a longer dry interval, and the substantially decreased wind speed resulted in a significant decrease in the evapotranspiration and a slight increase in the soil water content. The spatiotemporal analysis of drought identified the vulnerable areas and indicated that spring drought was exacerbating. Overall, this study can be informative and valuable for the drought assessment and disaster alleviation in the Loess Plateau area.
Persistent Identifierhttp://hdl.handle.net/10722/290545
ISSN
2023 Impact Factor: 4.8
2023 SCImago Journal Rankings: 1.331
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, S-
dc.contributor.authorWu, Y-
dc.contributor.authorSivakumar, B-
dc.contributor.authorMu, X-
dc.contributor.authorZhao, F-
dc.contributor.authorSun, P-
dc.contributor.authorSun, Y-
dc.contributor.authorQiu, L-
dc.contributor.authorChen, J-
dc.contributor.authorMeng, X-
dc.contributor.authorHan, J-
dc.date.accessioned2020-11-02T05:43:46Z-
dc.date.available2020-11-02T05:43:46Z-
dc.date.issued2019-
dc.identifier.citationEnvironmental Modelling & Software, 2019, v. 122, p. article no. 104519-
dc.identifier.issn1364-8152-
dc.identifier.urihttp://hdl.handle.net/10722/290545-
dc.description.abstractUnderstanding the spatiotemporal evolution of drought is vital for effective water resources management especially in arid and semi-arid regions and under climate change. In this study, we developed the Soil and Water Assessment Tool (SWAT)-based drought evaluation tool and used it to investigate the spatiotemporal change of drought and its driving factors over the past 50 years (1965–2014) in a typical semi-arid area, the Wei River Basin, in the Loess Plateau. The temporal trend analysis of precipitation showed an intensified hydrological cycle with a longer dry interval, and the substantially decreased wind speed resulted in a significant decrease in the evapotranspiration and a slight increase in the soil water content. The spatiotemporal analysis of drought identified the vulnerable areas and indicated that spring drought was exacerbating. Overall, this study can be informative and valuable for the drought assessment and disaster alleviation in the Loess Plateau area.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/envsoft-
dc.relation.ispartofEnvironmental Modelling & Software-
dc.subjectClimate change-
dc.subjectDriving factors-
dc.subjectDrought index-
dc.subjectSWAT-
dc.subjectLoess plateau-
dc.titleClimate change-induced drought evolution over the past 50 years in the southern Chinese Loess Plateau-
dc.typeArticle-
dc.identifier.emailChen, J: jichen@hku.hk-
dc.identifier.authorityChen, J=rp00098-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.envsoft.2019.104519-
dc.identifier.scopuseid_2-s2.0-85072713886-
dc.identifier.hkuros318452-
dc.identifier.volume122-
dc.identifier.spagearticle no. 104519-
dc.identifier.epagearticle no. 104519-
dc.identifier.isiWOS:000498063900005-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1364-8152-

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