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Spatio-Temporal Analysis of Drought Variability Using CWSI in the Koshi River Basin (KRB)

Drought is one of the most frequent meteorological disasters, and has exerted significant impacts on the livelihoods and economy of the Koshi River Basin (KRB). In this study, we assessed drought patterns using the Crop Water Shortage Index (CWSI) based on the MOD16 product for the period between 20...

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Autores principales: Wu, Han, Xiong, Donghong, Liu, Bintao, Zhang, Su, Yuan, Yong, Fang, Yiping, Chidi, Chhabi Lal, Dahal, Nirmal Mani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747221/
https://www.ncbi.nlm.nih.gov/pubmed/31454986
http://dx.doi.org/10.3390/ijerph16173100
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author Wu, Han
Xiong, Donghong
Liu, Bintao
Zhang, Su
Yuan, Yong
Fang, Yiping
Chidi, Chhabi Lal
Dahal, Nirmal Mani
author_facet Wu, Han
Xiong, Donghong
Liu, Bintao
Zhang, Su
Yuan, Yong
Fang, Yiping
Chidi, Chhabi Lal
Dahal, Nirmal Mani
author_sort Wu, Han
collection PubMed
description Drought is one of the most frequent meteorological disasters, and has exerted significant impacts on the livelihoods and economy of the Koshi River Basin (KRB). In this study, we assessed drought patterns using the Crop Water Shortage Index (CWSI) based on the MOD16 product for the period between 2000 and 2014. The results revealed that the CWSI based on the MOD16 product can be act as an indicator to monitor the characteristics of the drought. Significant spatial heterogeneity of drought was observed in the basin, with higher CWSI values downstream and upstream than in the midstream. The midstream of the KRB was dominated by light drought, moderate drought occurred in the upstream, and the downstream was characterized by severe drought. The monthly CWSI during one year in KRB showed the higher CWSI between March to May (pre-monsoon) and October to December (post-monsoon) rather than June to September (monsoon), and the highest was observed in the month of April, suggesting that precipitation plays the most important role in the mitigation of CWSI. Additionally, the downstream and midstream showed a higher variation of drought compared to the upstream in the basin. This research indicates that the downstream suffered severe drought due to seasonal water shortages, especially during the pre-monsoon, and water-related infrastructure should be implemented to mitigate losses caused by drought.
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spelling pubmed-67472212019-09-27 Spatio-Temporal Analysis of Drought Variability Using CWSI in the Koshi River Basin (KRB) Wu, Han Xiong, Donghong Liu, Bintao Zhang, Su Yuan, Yong Fang, Yiping Chidi, Chhabi Lal Dahal, Nirmal Mani Int J Environ Res Public Health Article Drought is one of the most frequent meteorological disasters, and has exerted significant impacts on the livelihoods and economy of the Koshi River Basin (KRB). In this study, we assessed drought patterns using the Crop Water Shortage Index (CWSI) based on the MOD16 product for the period between 2000 and 2014. The results revealed that the CWSI based on the MOD16 product can be act as an indicator to monitor the characteristics of the drought. Significant spatial heterogeneity of drought was observed in the basin, with higher CWSI values downstream and upstream than in the midstream. The midstream of the KRB was dominated by light drought, moderate drought occurred in the upstream, and the downstream was characterized by severe drought. The monthly CWSI during one year in KRB showed the higher CWSI between March to May (pre-monsoon) and October to December (post-monsoon) rather than June to September (monsoon), and the highest was observed in the month of April, suggesting that precipitation plays the most important role in the mitigation of CWSI. Additionally, the downstream and midstream showed a higher variation of drought compared to the upstream in the basin. This research indicates that the downstream suffered severe drought due to seasonal water shortages, especially during the pre-monsoon, and water-related infrastructure should be implemented to mitigate losses caused by drought. MDPI 2019-08-26 2019-09 /pmc/articles/PMC6747221/ /pubmed/31454986 http://dx.doi.org/10.3390/ijerph16173100 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wu, Han
Xiong, Donghong
Liu, Bintao
Zhang, Su
Yuan, Yong
Fang, Yiping
Chidi, Chhabi Lal
Dahal, Nirmal Mani
Spatio-Temporal Analysis of Drought Variability Using CWSI in the Koshi River Basin (KRB)
title Spatio-Temporal Analysis of Drought Variability Using CWSI in the Koshi River Basin (KRB)
title_full Spatio-Temporal Analysis of Drought Variability Using CWSI in the Koshi River Basin (KRB)
title_fullStr Spatio-Temporal Analysis of Drought Variability Using CWSI in the Koshi River Basin (KRB)
title_full_unstemmed Spatio-Temporal Analysis of Drought Variability Using CWSI in the Koshi River Basin (KRB)
title_short Spatio-Temporal Analysis of Drought Variability Using CWSI in the Koshi River Basin (KRB)
title_sort spatio-temporal analysis of drought variability using cwsi in the koshi river basin (krb)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747221/
https://www.ncbi.nlm.nih.gov/pubmed/31454986
http://dx.doi.org/10.3390/ijerph16173100
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