干旱区生态环境知识资源中心(Arid): Water storage changes (2003-2020) in the Ordos Basin, China, explained by GRACE data and interpretable deep learning

Arid

DOI	10.1007/s10040-023-02713-7
	Water storage changes (2003-2020) in the Ordos Basin, China, explained by GRACE data and interpretable deep learning
	Hu, Ziming; Tang, Shinan; Mo, Shaoxing; Shi, Xiaoqing; Yin, Xin; Sun, Yuanyuan; Liu, Xiaomin; Duan, Limin; Miao, Ping; Liu, Tingxi; Wu, Jichun
通讯作者	Mo, SX ; Shi, XQ
来源期刊	HYDROGEOLOGY JOURNAL
ISSN	1431-2174
EISSN	1435-0157
出版年	2024
卷号	32 期号:1 页码:307-320
英文摘要	Groundwater storage (GWS) decline, as well as total water storage (TWS) decline, in the (semi)arid Ordos Basin (China) poses great challenges to the water supply and ecological environment. In this study, the major factors causing the rapid loss of water storage during 2003-2020 are first investigated using correlation analysis, where the storage estimates are derived from the Gravity Recovery and Climate Experiment (GRACE) satellites. The major hydroclimatic drivers of monthly water storage changes are then explored among precipitation (P), evapotranspiration (ET), and runoff ( RO) using an interpretable deep learning (IDL) method. The relative contribution of each driver is quantified by leveraging the interpretability nature of IDL. Results show that the GWS depletion (-0.82 cm/year) primarily accounts for the TWS loss (-0.73 cm/year) in the Ordos Basin under increased precipitation. The decreased TWS and GWS are both closely related to the increased vegetation density and coal production, indicating that they are the major drivers of the long-term water loss. At the monthly scale, the IDL method reveals that P and ET contribute over 75% to the changes of both TWS and GWS in most regions. The response lag of TWS to P and ET is generally 1- 3 months. In contrast, GWS shows a more complicated response to P and ET with a longer lag range of 1-11 months in different regions due to the complicated Ordos Basin aquifer systems. These findings achieve a better understanding of hydrologic cycles and better guide sustainable water resources management in the Ordos Basin.
英文关键词	China Arid regions Groundwater storage GRACE Interpretable deep learning
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001070596600003
WOS关键词	CLIMATE EXPERIMENT GRACE ; DATA ASSIMILATION ; GRAVITY RECOVERY ; GROUNDWATER ; VARIABILITY ; UNCERTAINTY ; COALFIELD ; RESPONSES ; DROUGHT ; SYSTEMS
WOS类目	Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404098
推荐引用方式 GB/T 7714	Hu, Ziming,Tang, Shinan,Mo, Shaoxing,et al. Water storage changes (2003-2020) in the Ordos Basin, China, explained by GRACE data and interpretable deep learning[J],2024,32(1):307-320.
APA	Hu, Ziming.,Tang, Shinan.,Mo, Shaoxing.,Shi, Xiaoqing.,Yin, Xin.,...&Wu, Jichun.(2024).Water storage changes (2003-2020) in the Ordos Basin, China, explained by GRACE data and interpretable deep learning.HYDROGEOLOGY JOURNAL,32(1),307-320.
MLA	Hu, Ziming,et al."Water storage changes (2003-2020) in the Ordos Basin, China, explained by GRACE data and interpretable deep learning".HYDROGEOLOGY JOURNAL 32.1(2024):307-320.