Extreme Droughts Change in the Mekong River Basin: A Multidisciplinary Analysis Based on Satellite Data

This study evaluates droughts in the Mekong River Basin (MKB) based on a multidisciplinary method, mainly using the Standardized Precipitation Index (SPI) and Mann–Kendall (MK) test. Precipitation data corresponding to the seasonality of the regional climate were retrieved from Integrated Multi-sate...

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Main Authors: Vo Tuong, Thanh-Van Hoang, Tien-Yin Chou, Yao-Min Fang, Chun-Tse Wang, Thanh-Danh Tran, Dung Duc Tran
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/13/19/2682
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author Vo Tuong
Thanh-Van Hoang
Tien-Yin Chou
Yao-Min Fang
Chun-Tse Wang
Thanh-Danh Tran
Dung Duc Tran
author_facet Vo Tuong
Thanh-Van Hoang
Tien-Yin Chou
Yao-Min Fang
Chun-Tse Wang
Thanh-Danh Tran
Dung Duc Tran
author_sort Vo Tuong
collection DOAJ
description This study evaluates droughts in the Mekong River Basin (MKB) based on a multidisciplinary method, mainly using the Standardized Precipitation Index (SPI) and Mann–Kendall (MK) test. Precipitation data corresponding to the seasonality of the regional climate were retrieved from Integrated Multi-satellitE Retrievals for Global Precipitation Measurement from 2001 to 2020, at a monthly temporal scale and 0.1 degree spatial resolution. Drought events and their average interval, duration, and severity were determined based on Run theory. Our results revealed the most extreme drought period was in January 2014, at the time the lowest precipitation occurred. Spatial extreme drought results indicated that Zone 2 in the upstream MKB has the highest frequency of drought, with 44 events observed during 19 years, and experiences the most severe droughts, whereas Zone 24 in the downstream MKB has the most prolonged drought duration of seven months. The periods and locations of extreme drought were identified using the SPI, corresponding to historic droughts of the MKB. Furthermore, the MK test shows an increasing trend of droughts in the lower MKB and the cluster analysis identified six clusters of times series. Overall, our study provides essential findings for international and national water resource stakeholders in identifying trends of extreme drought in the MKB.
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spelling doaj.art-06c1c79916c74740bc9b919d4f31e2c72023-11-22T17:00:59ZengMDPI AGWater2073-44412021-09-011319268210.3390/w13192682Extreme Droughts Change in the Mekong River Basin: A Multidisciplinary Analysis Based on Satellite DataVo Tuong0Thanh-Van Hoang1Tien-Yin Chou2Yao-Min Fang3Chun-Tse Wang4Thanh-Danh Tran5Dung Duc Tran6Faculty of Civil Engineering, Ho Chi Minh City Open University, Ho Chi Minh City 700000, VietnamGeographic Information System Research Center, Feng Chia University, 100 Wenhwa Rd., Situn, Taichung 40724, TaiwanGeographic Information System Research Center, Feng Chia University, 100 Wenhwa Rd., Situn, Taichung 40724, TaiwanGeographic Information System Research Center, Feng Chia University, 100 Wenhwa Rd., Situn, Taichung 40724, TaiwanGeographic Information System Research Center, Feng Chia University, 100 Wenhwa Rd., Situn, Taichung 40724, TaiwanFaculty of Civil Engineering, Ho Chi Minh City Open University, Ho Chi Minh City 700000, VietnamCenter of Water Management and Climate Change, Institute for Environment and Resources, Vietnam National University—Ho Chi Minh City (VNU-HCM), Ho Chi Minh City 700000, VietnamThis study evaluates droughts in the Mekong River Basin (MKB) based on a multidisciplinary method, mainly using the Standardized Precipitation Index (SPI) and Mann–Kendall (MK) test. Precipitation data corresponding to the seasonality of the regional climate were retrieved from Integrated Multi-satellitE Retrievals for Global Precipitation Measurement from 2001 to 2020, at a monthly temporal scale and 0.1 degree spatial resolution. Drought events and their average interval, duration, and severity were determined based on Run theory. Our results revealed the most extreme drought period was in January 2014, at the time the lowest precipitation occurred. Spatial extreme drought results indicated that Zone 2 in the upstream MKB has the highest frequency of drought, with 44 events observed during 19 years, and experiences the most severe droughts, whereas Zone 24 in the downstream MKB has the most prolonged drought duration of seven months. The periods and locations of extreme drought were identified using the SPI, corresponding to historic droughts of the MKB. Furthermore, the MK test shows an increasing trend of droughts in the lower MKB and the cluster analysis identified six clusters of times series. Overall, our study provides essential findings for international and national water resource stakeholders in identifying trends of extreme drought in the MKB.https://www.mdpi.com/2073-4441/13/19/2682extreme droughtMekongSPIMann–Kendalltime series clusteringintegrated multi-satellite retrievals (IMERG)
spellingShingle Vo Tuong
Thanh-Van Hoang
Tien-Yin Chou
Yao-Min Fang
Chun-Tse Wang
Thanh-Danh Tran
Dung Duc Tran
Extreme Droughts Change in the Mekong River Basin: A Multidisciplinary Analysis Based on Satellite Data
Water
extreme drought
Mekong
SPI
Mann–Kendall
time series clustering
integrated multi-satellite retrievals (IMERG)
title Extreme Droughts Change in the Mekong River Basin: A Multidisciplinary Analysis Based on Satellite Data
title_full Extreme Droughts Change in the Mekong River Basin: A Multidisciplinary Analysis Based on Satellite Data
title_fullStr Extreme Droughts Change in the Mekong River Basin: A Multidisciplinary Analysis Based on Satellite Data
title_full_unstemmed Extreme Droughts Change in the Mekong River Basin: A Multidisciplinary Analysis Based on Satellite Data
title_short Extreme Droughts Change in the Mekong River Basin: A Multidisciplinary Analysis Based on Satellite Data
title_sort extreme droughts change in the mekong river basin a multidisciplinary analysis based on satellite data
topic extreme drought
Mekong
SPI
Mann–Kendall
time series clustering
integrated multi-satellite retrievals (IMERG)
url https://www.mdpi.com/2073-4441/13/19/2682
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