Assessment of Evaporative Demand Drought Index for drought analysis in Peninsular Malaysia

An effective drought monitoring tool is essential for the development of timely drought early warning system. This study evaluates Evaporative Demand Drought Index (EDDI) as a drought indicator in measuring spatiotemporal evolution of droughts over Peninsular Malaysia during 1989-2018. The modified...

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Main Authors: Ng, Cia Yik, Jaafar, Wan Zurina Wan, Othman, Faridah, Lai, Sai Hin, Mei, Yiwen, Juneng, Liew
Format: Article
Published: Elsevier 2024
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Online Access:http://eprints.um.edu.my/45734/
https://doi.org/10.1016/j.scitotenv.2024.170249
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spelling my.um.eprints.457342024-11-11T04:22:43Z http://eprints.um.edu.my/45734/ Assessment of Evaporative Demand Drought Index for drought analysis in Peninsular Malaysia Ng, Cia Yik Jaafar, Wan Zurina Wan Othman, Faridah Lai, Sai Hin Mei, Yiwen Juneng, Liew TA Engineering (General). Civil engineering (General) An effective drought monitoring tool is essential for the development of timely drought early warning system. This study evaluates Evaporative Demand Drought Index (EDDI) as a drought indicator in measuring spatiotemporal evolution of droughts over Peninsular Malaysia during 1989-2018. The modified Mann-Kendall and Sen's slope tests were performed to detect the presence of monotonic trends in EDDI, Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) and their related climate variables. The performance of EDDI in capturing the drought onset, evolutions and demise of historical severe droughts was also compared with SPI and SPEI at multiple timescales. EDDI demonstrates strong spatiotemporal correlations with SPI and SPEI and comparable performance in historical drought events identification. At sub -monthly timescale, 2 -week EDDI displays equivalent drought severities and durations for all historical severe droughts corresponding to the monthly EDDI. In the case when rainfall deficits are normalized in an otherwise warm and dry month, EDDI may serve as a great alternative to SPI and SPEI due to it being sensitive to the changes in prevalent atmospheric conditions. Collectively, the results fill in the knowledge gaps on drought evolutions from the evaporative perspective and highlight the efficacy of EDDI as a valuable drought early warning tool for Peninsular Malaysia. Future study should explore the physical mechanisms behind the development of flash drought and the role of evaporation in the drought propagation processes. Elsevier 2024-03 Article PeerReviewed Ng, Cia Yik and Jaafar, Wan Zurina Wan and Othman, Faridah and Lai, Sai Hin and Mei, Yiwen and Juneng, Liew (2024) Assessment of Evaporative Demand Drought Index for drought analysis in Peninsular Malaysia. Science of the Total Environment, 917. p. 170249. ISSN 0048-9697, DOI https://doi.org/10.1016/j.scitotenv.2024.170249 <https://doi.org/10.1016/j.scitotenv.2024.170249>. https://doi.org/10.1016/j.scitotenv.2024.170249 10.1016/j.scitotenv.2024.170249
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Ng, Cia Yik
Jaafar, Wan Zurina Wan
Othman, Faridah
Lai, Sai Hin
Mei, Yiwen
Juneng, Liew
Assessment of Evaporative Demand Drought Index for drought analysis in Peninsular Malaysia
description An effective drought monitoring tool is essential for the development of timely drought early warning system. This study evaluates Evaporative Demand Drought Index (EDDI) as a drought indicator in measuring spatiotemporal evolution of droughts over Peninsular Malaysia during 1989-2018. The modified Mann-Kendall and Sen's slope tests were performed to detect the presence of monotonic trends in EDDI, Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) and their related climate variables. The performance of EDDI in capturing the drought onset, evolutions and demise of historical severe droughts was also compared with SPI and SPEI at multiple timescales. EDDI demonstrates strong spatiotemporal correlations with SPI and SPEI and comparable performance in historical drought events identification. At sub -monthly timescale, 2 -week EDDI displays equivalent drought severities and durations for all historical severe droughts corresponding to the monthly EDDI. In the case when rainfall deficits are normalized in an otherwise warm and dry month, EDDI may serve as a great alternative to SPI and SPEI due to it being sensitive to the changes in prevalent atmospheric conditions. Collectively, the results fill in the knowledge gaps on drought evolutions from the evaporative perspective and highlight the efficacy of EDDI as a valuable drought early warning tool for Peninsular Malaysia. Future study should explore the physical mechanisms behind the development of flash drought and the role of evaporation in the drought propagation processes.
format Article
author Ng, Cia Yik
Jaafar, Wan Zurina Wan
Othman, Faridah
Lai, Sai Hin
Mei, Yiwen
Juneng, Liew
author_facet Ng, Cia Yik
Jaafar, Wan Zurina Wan
Othman, Faridah
Lai, Sai Hin
Mei, Yiwen
Juneng, Liew
author_sort Ng, Cia Yik
title Assessment of Evaporative Demand Drought Index for drought analysis in Peninsular Malaysia
title_short Assessment of Evaporative Demand Drought Index for drought analysis in Peninsular Malaysia
title_full Assessment of Evaporative Demand Drought Index for drought analysis in Peninsular Malaysia
title_fullStr Assessment of Evaporative Demand Drought Index for drought analysis in Peninsular Malaysia
title_full_unstemmed Assessment of Evaporative Demand Drought Index for drought analysis in Peninsular Malaysia
title_sort assessment of evaporative demand drought index for drought analysis in peninsular malaysia
publisher Elsevier
publishDate 2024
url http://eprints.um.edu.my/45734/
https://doi.org/10.1016/j.scitotenv.2024.170249
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score 13.222552