4.6 Article

Studying Onset and Evolution of Agricultural Drought in Mekong River Basin through Hydrologic Modeling

期刊

WATER
卷 13, 期 24, 页码 -

出版社

MDPI
DOI: 10.3390/w13243622

关键词

agriculture; deficit indices; drought development; propagation; SWAT; Mekong River Basin

向作者/读者索取更多资源

This study aims to identify extreme precipitation deficits in the Mekong River Basin using the Percent Normal (PN) index and evaluate their impact on agricultural drought through changes in precipitation, soil moisture, and evapotranspiration anomalies. Results show that the PN index successfully identified historical droughts, supporting the development of drought-resilient agricultural production systems in the basin.
Departures in precipitation from the normal are the cause of the onset of agricultural drought. In this study, we aim to identify extreme precipitation deficits using an index called Percent Normal (PN). We applied the proposed PN index to the agriculturally productive Mekong River Basin (MRB) to evaluate the propagation of precipitation deficits into agricultural drought based on the change in slope and mean of the precipitation, soil moisture and evapotranspiration anomalies. The results of the study showed the proposed PN index identified historical droughts in the years 1992, 1997-1998 and 2000-2006 in MRB; of these, 1992 was shown to be the longest drought, which lasted from the 43rd week (October) of 1991 to the 49th week (December) of 1994. The short-term but extreme drought was identified to occur in 2005 with below-normal precipitation that lasted for more than a year. An immediate effect of precipitation deficit was observed in evapotranspiration (ET) and soil water for agricultural (Thailand) and forested regions (Parts of Cambodia) of the basin with <5 weeks lag. We conclude that the drought indices adopted in this study are suitable to identify the small and long-term drought events, which will facilitate the development of a drought-resilient agricultural production system.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据