干旱区生态环境知识资源中心(Arid): Groundwater Depletion Estimated from GRACE: A Challenge of Sustainable Development in an Arid Region of Central Asia

Arid

DOI	10.3390/rs11161908
	Groundwater Depletion Estimated from GRACE: A Challenge of Sustainable Development in an Arid Region of Central Asia
	Hu, Zengyun 1,2,3; Zhou, Qiming 4; Chen, Xi2,3 ; Chen, Deliang 5; Li, Jianfeng 4; Guo, Meiyu 4; Yin, Gang 6; Duan, Zheng 7,8
通讯作者	Li, Jianfeng
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:16
英文摘要	Under climate change and increasing water demands, groundwater depletion has become regional and global threats for water security, which is an indispensable target to achieving sustainable developments of human society and ecosystems, especially in arid and semiarid regions where groundwater is a major water source. In this study, groundwater depletion of 2003-2016 over Xinjiang in China, a typical arid region of Central Asia, is assessed using the gravity recovery and climate experiment (GRACE) satellite and the global land data assimilation system (GLDAS) datasets. In the transition of a warm-dry to a warm-wet climate in Xinjiang, increases in precipitation, soil moisture and snow water equivalent are detected, while GRACE-based groundwater storage anomalies (GWSA) exhibit significant decreasing trends with rates between-3.61 +/- 0.85 mm/a of CSR-GWSA and -3.10 +/- 0.91 mm/a of JPL-GWSA. Groundwater depletion is more severe in autumn and winter. The decreases in GRACE-based GWSA are in a good agreement with the groundwater statistics collected from local authorities. However, at the same time, groundwater abstraction in Xinjiang doubled, and the water supplies get more dependent on groundwater. The magnitude of groundwater depletion is about that of annual groundwater abstraction, suggesting that scientific exploitation of groundwater is the key to ensure the sustainability of freshwater withdrawals and supplies. Furthermore, GWSA changes can be well estimated by the partial least square regression (PLSR) method based on inputs of climate data. Therefore, GRACE observations provide a feasible approach for local policy makers to monitor and forecast groundwater changes to control groundwater depletion.
英文关键词	groundwater variation terrestrial water storage GRACE GLDAS arid region sustainable development
类型	Article
语种	英语
国家	Peoples R China ; Sweden ; Germany
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000484387600071
WOS关键词	CLIMATE-CHANGE ; DATA SETS ; EVAPOTRANSPIRATION ; PRECIPITATION ; VARIABILITY ; REGRESSION ; XINJIANG ; RIVER
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院新疆生态与地理研究所 ; 新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218409
作者单位	1.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China; 2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; 3.Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China; 4.Hong Kong Baptist Univ, Dept Geog, Kowloon Tong, Kowloon, Hong Kong 999077, Peoples R China; 5.Univ Gothenburg, Dept Earth Sci, S-40530 Gothenburg, Sweden; 6.Xinjiang Univ, Coll Resource & Environm Sci, Urumqi 830046, Peoples R China; 7.Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden; 8.Tech Univ Munich, Chair Hydrol & River Basin Management, Arcisstr 21, D-80333 Munich, Germany
推荐引用方式 GB/T 7714	Hu, Zengyun,Zhou, Qiming,Chen, Xi,et al. Groundwater Depletion Estimated from GRACE: A Challenge of Sustainable Development in an Arid Region of Central Asia[J]. 中国科学院新疆生态与地理研究所, 新疆大学,2019,11(16).
APA	Hu, Zengyun.,Zhou, Qiming.,Chen, Xi.,Chen, Deliang.,Li, Jianfeng.,...&Duan, Zheng.(2019).Groundwater Depletion Estimated from GRACE: A Challenge of Sustainable Development in an Arid Region of Central Asia.REMOTE SENSING,11(16).
MLA	Hu, Zengyun,et al."Groundwater Depletion Estimated from GRACE: A Challenge of Sustainable Development in an Arid Region of Central Asia".REMOTE SENSING 11.16(2019).