中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Using GRACE satellite observations for separating meteorological variability from anthropogenic impacts on water availability

文献类型：期刊论文

作者Hosseini-Moghari, Seyed-Mohammad1; Araghinejad, Shahab2; Ebrahimi, Kumars3; Tang, Qiuhong1,4; AghaKouchak, Amir5,6
刊名SCIENTIFIC REPORTS
出版日期2020-09-15
卷号10期号:1页码:12
ISSN号2045-2322
DOI10.1038/s41598-020-71837-7
通讯作者AghaKouchak, Amir(amir.a@uci.edu)
英文摘要Gravity Recovery and Climate Experiment (GRACE) observations provide information on Total Water Storage Anomaly (TWSA) which is a key variable for drought monitoring and assessment. The so-called Total Water Storage Deficit Index (TWSDI) based on GRACE data has been widely used for characterizing drought events. Here we show that the commonly used TWSDI approach often exhibits significant inconsistencies with meteorological conditions, primarily upon presence of a trend in observations due to anthropogenic water use. In this study, we propose a modified version of TWSDI (termed, MTWSDI) that decomposes the anthropogenic and climatic-driven components of GRACE observations. We applied our approach for drought monitoring over the Ganges-Brahmaputra in India and Markazi basins in Iran. Results show that the newly developed MTWSDI exhibits consistency with meteorological drought indices in both basins. We also propose a deficit-based method for drought monitoring and recovery assessment using GRACE observations, providing useful information about volume of deficit, and minimum and average time for drought recovery. According to the deficit thresholds, water deficits caused by anthropogenic impacts every year in the Ganges-Brahmaputra basin and Markazi basins is almost equal to an abnormally dry condition and a moderate drought condition, receptively. It indicates that unsustainable human water use have led to a form of perpetual and accelerated anthropogenic drought in these basins. Continuation of this trend would deplete the basin and cause significant socio-economic challenges.
WOS关键词RIVER-BASIN ; DROUGHT CHARACTERIZATION ; AGRICULTURAL DROUGHT ; TREE MORTALITY ; STORAGE ; GROUNDWATER ; INDEX ; LAND ; SEVERITY ; PRODUCTS
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20060402] ; National Natural Science Foundation of China[41790424] ; National Natural Science Foundation of China[41730645] ; National Natural Science Foundation of China[41425002] ; CAS-VPST Silk Road Science Fund 2018[131A11KYSB20170113]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000573753200038
出版者NATURE RESEARCH
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; CAS-VPST Silk Road Science Fund 2018
源URL[http://ir.igsnrr.ac.cn/handle/311030/156995]  
专题中国科学院地理科学与资源研究所
通讯作者AghaKouchak, Amir
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Stantec Consulting Co, Sacramento, CA 95816 USA
3.Univ Tehran, Dept Irrigat & Reclamat Engn, Karaj 1437835693, Iran
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA
6.Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA
推荐引用方式
GB/T 7714		 Hosseini-Moghari, Seyed-Mohammad,Araghinejad, Shahab,Ebrahimi, Kumars,et al. Using GRACE satellite observations for separating meteorological variability from anthropogenic impacts on water availability[J]. SCIENTIFIC REPORTS,2020,10(1):12.
APA Hosseini-Moghari, Seyed-Mohammad,Araghinejad, Shahab,Ebrahimi, Kumars,Tang, Qiuhong,&AghaKouchak, Amir.(2020).Using GRACE satellite observations for separating meteorological variability from anthropogenic impacts on water availability.SCIENTIFIC REPORTS,10(1),12.
MLA Hosseini-Moghari, Seyed-Mohammad,et al."Using GRACE satellite observations for separating meteorological variability from anthropogenic impacts on water availability".SCIENTIFIC REPORTS 10.1(2020):12.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。