Deciphering the relationship between meteorological and hydrological drought in Ben Tre province, Vietnam

Author:

Huynh Minh1ORCID,Kumar Pankaj2,Toan Nguyen Van1,Nguyen Phan Chi1,Ty Tran Van1,Lavane Kim1,Tam Nguyen Thanh1,Downes Nigel K.1

Affiliation:

1. Can Tho University

2. Institution Global Environmental strategies

Abstract

Abstract The low-lying Vietnamese Mekong Delta (VMD) is a key agricultural production landscape increasingly threatened by anthropogenic stresses and climate change. Droughts due to extreme events, climate change and upstream developments affect the delta. This paper explores the relationship between the intensity, duration, and frequency of meteorological droughts and hydrological droughts using a range of indices. We used monthly rainfall and stream flow data for the period 1992–2021 to calculate the stream flow Drought Index (SDI), the Standardized Precipitation Index (SPI), and the Reconnaissance Drought Index (RDI) for different time intervals. We found no observed time lag, and a strong correlation coefficient between upstream hydrological and downstream meteorological drought events assessed over long-term scales (i.e.,12-months). This is true for all downstream sites, except Ben Tre City. Meteorological drought events onset lagged 5–6 months, 6-month, and 4-month behind hydrological droughts at mid- and shorter assessment time scales (9-,6-, 3- month). Average correlation coefficient between hydrological indices and SPI and 9–3 month time scales ranged only from moderate to weak. These findings shed light and advance the understanding of the progression of meteorological to hydrological droughts in the VMD. Our results aid the regional understanding of drought onset and the causative mechanism at work, important for both medium and long-term drought forecasting and adaptation planning.

Publisher

Research Square Platform LLC

Reference44 articles.

1. A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale;Alahacoon N;Geomat Nat Hazards Risk,2022

2. Is the SPI sufficient for monitoring meteorological droughts in extreme costal climates of Iran?;Bazrafshan J;Adv Nat Appl Sci,2010

3. Analysis of meteorological and hydrological drought based in SPI and SDI index in the Inaouen Basin (Northern Morocco);Boudad B;J Mater Env Sci,2018

4. Drought analysis in the Awash river basin, Ethiopia;Edossa DC;Water Resour Manag,2010

5. Evans JD (1996) Straightforward statistics for the behavioral sciences. Thomson Brooks/Cole Publishing Co

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3