干旱区生态环境知识资源中心(Arid): Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models

Arid

DOI	10.1016/j.jhydrol.2021.126013
	Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models
	Hu, Zengyun; Zhang, Zizhan; Sang, Yan-Fang; Qian, Jing; Feng, Wei; Chen, Xi; Zhou, Qiming
通讯作者	Qian, J ; Chen, X (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China.
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2021
卷号	596
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.
英文关键词	Terrestrial water storage Global hydrological model GRACE satellite dataset Partial least square regression Central Asia
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000642334400028
WOS关键词	GROUNDWATER DEPLETION ; SUSTAINABLE DEVELOPMENT ; SHRINKING GLACIERS ; CLIMATE-CHANGE ; SURFACE-WATER ; ARAL SEA ; GRACE ; PRECIPITATION ; UNCERTAINTY ; VARIABILITY
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
来源机构	中国科学院新疆生态与地理研究所 ; 中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350891
作者单位	[Hu, Zengyun; Qian, Jing; Chen, Xi] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Hu, Zengyun; Chen, Xi] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China; [Hu, Zengyun; Qian, Jing] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China; [Zhang, Zizhan; Feng, Wei] Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, Wuhan 43007, Peoples R China; [Sang, Yan-Fang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; [Zhou, Qiming] Hong Kong Baptist Univ, Dept Geog, Kowloon, Hong Kong, Peoples R China; [Hu, Zengyun; Zhang, Zizhan; Sang, Yan-Fang; Qian, Jing; Feng, Wei; Chen, Xi] 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]. 中国科学院新疆生态与地理研究所, 中国科学院地理科学与资源研究所,2021,596.
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.
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).