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Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models

文献类型：期刊论文

作者Hu, Zengyun1,2,3,7; Zhang, Zizhan4,7; Sang, Yan-Fang5,7; Qian, Jing1,3,7; Feng, Wei4,7; Chen, Xi1,2,7; Zhou, Qiming6
刊名JOURNAL OF HYDROLOGY
出版日期2021-05-01
卷号596页码:16
关键词Terrestrial water storage Global hydrological model GRACE satellite dataset Partial least square regression Central Asia
ISSN号0022-1694
DOI10.1016/j.jhydrol.2021.126013
通讯作者Qian, Jing(jing.qian@siat.ac.cn) ; Chen, Xi(chenxi@ms.xjb.ac.cn)
英文摘要Arid regions of Central Asia have sensitive ecosystems that rely heavily on terrestrial water storage which is composed of surface water storage, soil moisture storage and groundwater storage. Therefore, we employed three Gravity Recovery and Climate Experiment (GRACE) satellite datasets and five global hydrological models (GHMs) to explore the terrestrial water storage (TWS) changes over arid regions of Central Asia from 2003 to 2014. We observed significantly decreasing water storage trends in the GRACE data, which were underestimated by the GHMs. After averaging the three GRACE satellite datasets, we found that the water storage was decreasing at a rate of -4.74 mm/year. Contrary to the prevailing declining water storage trends, northeastern Kazakhstan (KAZ), and southern Xinjiang increased their water storage over the same period. The GRACE data showed that Turkmenistan (TKM), Uzbekistan (UZB) and KAZ experienced the most severe water depletions, while Tajikistan (TJK) and northwest China (NW) experienced the least significant depletions. With respect to the major river and lake basins, the Aral Sea Basin exhibited the most serious water loss (-0.60 mm/month to -0.38 mm/month). The water storage positively correlates with the precipitation; and negatively correlates, with a three-month lag, with temperature and potential evapotranspiration (PET). Partial least square regression (PLSR) had the high capability in simulating and predicting the TWS. These results provide scientific evidence and guidance for local policy makers working toward sustainable water resource management, and the resolution of international water resource disputes among Central Asian countries.
WOS关键词GROUNDWATER DEPLETION ; SUSTAINABLE DEVELOPMENT ; SHRINKING GLACIERS ; CLIMATE-CHANGE ; SURFACE-WATER ; ARAL SEA ; GRACE ; PRECIPITATION ; UNCERTAINTY ; VARIABILITY
资助项目Strategic Priority Research Program of Chinese Academy of Sciences, Pan-Third Pole Environment Study for a Green Silk Road[Pan-TPEXDA200603] ; National Natural Science Foundation of China[41971386] ; National Natural Science Foundation of China[41874098] ; National Natural Science Foundation of China[41874095] ; Western Scholars of the Chinese Academy of Sciences[2020-XBQNXZ010] ; Youth Innovation Promotion Association CAS[2017074] ; [HKBU 12301820]
WOS研究方向Engineering ; Geology ; Water Resources
语种英语
WOS记录号WOS:000642334400028
出版者ELSEVIER
资助机构Strategic Priority Research Program of Chinese Academy of Sciences, Pan-Third Pole Environment Study for a Green Silk Road ; National Natural Science Foundation of China ; Western Scholars of the Chinese Academy of Sciences ; Youth Innovation Promotion Association CAS
源URL[http://ir.igsnrr.ac.cn/handle/311030/163973]  
专题中国科学院地理科学与资源研究所
通讯作者Qian, Jing; Chen, Xi
作者单位1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
2.Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China
3.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
4.Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, Wuhan 43007, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
6.Hong Kong Baptist Univ, Dept Geog, Kowloon, Hong Kong, Peoples R China
7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Hu, Zengyun,Zhang, Zizhan,Sang, Yan-Fang,et al. Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models[J]. JOURNAL OF HYDROLOGY,2021,596:16.
APA Hu, Zengyun.,Zhang, Zizhan.,Sang, Yan-Fang.,Qian, Jing.,Feng, Wei.,...&Zhou, Qiming.(2021).Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models.JOURNAL OF HYDROLOGY,596,16.
MLA Hu, Zengyun,et al."Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models".JOURNAL OF HYDROLOGY 596(2021):16.

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来源：地理科学与资源研究所

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