Quantifying Spatiotemporal Groundwater Storage Variations in China (2003-2019) Using Multi-Source Data
文献类型：期刊论文
| 作者 | Tu, Lin2,3; Sun, Zhangli2,3; Zheng, Zhoutao4; Abowarda, Ahmed Samir1 |
| 刊名 | WATER
 |
| 出版日期 | 2026-01-06 |
| 卷号 | 18期号:2页码:151 |
| 关键词 | China groundwater storage anomalies (GWSA) terrestrial water storage (TWSA) GRACE satellite trend analysis |
| DOI | 10.3390/w18020151 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Groundwater constitutes a vital freshwater resource essential for sustaining agricultural productivity, industrial processes, and domestic water supply. Quantifying spatiotemporal dynamics of Groundwater Storage (GWS) across China provides a critical scientific basis for sustainable water resource management and conservation. Employing a unified methodology combining Gravity Recovery and Climate Experiment (GRACE) observations and global hydrological models (GLDAS, WGHM), this study investigates spatiotemporal variations in Groundwater Storage Anomalies (GWSA) across China and its nine major river basins from February 2003 to December 2019. The results indicate an overall declining trend in China's GWSA at -2.27 to -0.38 mm/yr. Significant depletion hotspots are identified in northern Xinjiang, southeastern Tibet, and the Haihe River Basin. Conversely, statistically significant increasing trends are detected in the Endorheic Basin of the Tibetan Plateau and the middle reaches of the Yangtze River Basin. Although GWSA inversions derived from different Global Land Data Assimilation System (GLDAS) models show general consistency, there are still pronounced regional heterogeneities in model performance. The findings offer critical scientific foundations for water resources managers and policymakers to formulate sustainable groundwater management strategies in China. |
| URL标识 | 查看原文 |
| WOS关键词 | DATA ASSIMILATION ; GRACE DATA ; DEPLETION ; MODEL ; RESOURCES ; RECOVERY ; PRODUCTS |
| WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001670046500001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/220925]  |
| 专题 | 拉萨站高原生态系统研究中心_外文论文 |
| 通讯作者 | Sun, Zhangli |
| 作者单位 | 1.Minist Water Resources & Irrigat MWRI, Natl Water Res Ctr NWRC, Cairo 13621, Egypt 2.Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China; 3.Chengdu Univ Technol, Coll Earth & Planetary Sci, Chengdu 610059, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Tu, Lin,Sun, Zhangli,Zheng, Zhoutao,et al. Quantifying Spatiotemporal Groundwater Storage Variations in China (2003-2019) Using Multi-Source Data[J]. WATER,2026,18(2):151. |
| APA | Tu, Lin,Sun, Zhangli,Zheng, Zhoutao,&Abowarda, Ahmed Samir.(2026).Quantifying Spatiotemporal Groundwater Storage Variations in China (2003-2019) Using Multi-Source Data.WATER,18(2),151. |
| MLA | Tu, Lin,et al."Quantifying Spatiotemporal Groundwater Storage Variations in China (2003-2019) Using Multi-Source Data".WATER 18.2(2026):151. |
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。