Declining Groundwater Storage in the Indus Basin Revealed Using GRACE and GRACE-FO Data

IF 5 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES Water Resources Research Pub Date : 2025-02-18 DOI:10.1029/2024wr038279
Jaydeo K. Dharpure, Ian M. Howat, Saurabh Kaushik
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Abstract

Snow and glacier melt provide freshwater to millions of people in the Indus basin. However, the unprecedented increase in demand for freshwater and depleting resources due to climate warming has put the region's water resources at risk. Therefore, quantifying water mass variation and anticipating changes in hydrological regimes that affect downstream freshwater supply are of utmost importance. To address this, we used Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On derived terrestrial water storage anomaly (TWSA) data from April 2002 to May 2023 over the Indus basin. Several gaps in these data, totaling 33 months, significantly impact regional trends and predictions of water mass changes. We apply a machine learning-based MissForest algorithm to fill these gaps and compare our results with four previous studies. Annual TWSA shows a declining trend (−0.65 cm/yr) before 2015/16, with a significantly higher (−2.16 cm/yr) after 2015/16. Based on the estimate for the annual groundwater storage anomaly (GWSA), a major portion (83.7%) of the basin is experiencing a significant declining trend (>−0.15 cm/yr, p < 0.05). Glaciated region has a less severe decreasing trend (−0.78 cm/yr) compared to the non-glaciated region (−1.44 cm/yr). Among sub-basins, the upper Indus shows the lowest decline (−0.42 cm/yr), while Panjnad exhibits the highest (−1.70 cm/yr). Annual precipitation and runoff are decreasing, while temperature shows no trend. However, evapotranspiration is increasing might be due to a significant increase in vegetation (0.23%/yr) over the basin. The trends of hydroclimatic variables, vegetation, and anthropogenic factors, indicate a consistently decreasing GWSA in the region.
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利用GRACE和GRACE- fo数据揭示印度河流域地下水储量下降
积雪和冰川融化为印度河流域的数百万人提供了淡水。然而,由于气候变暖,淡水需求的空前增加和资源的枯竭使该地区的水资源面临风险。因此,量化水质变化和预测影响下游淡水供应的水文制度的变化是至关重要的。为了解决这一问题,我们使用了2002年4月至2023年5月印度河流域重力恢复和气候实验(GRACE)和GRACE后续导出的陆地储水异常(TWSA)数据。这些数据中有几个缺口,共计33个月,严重影响了区域趋势和水团变化的预测。我们应用基于机器学习的MissForest算法来填补这些空白,并将我们的结果与之前的四项研究进行比较。年TWSA在2015/16年之前呈下降趋势(- 0.65 cm/yr), 2015/16年之后呈显著上升趋势(- 2.16 cm/yr)。根据年地下水储量异常(GWSA)估算,流域大部分地区(83.7%)正经历显著的下降趋势(> - 0.15 cm/yr, p <;0.05)。与非冰川区(- 1.44 cm/yr)相比,冰川区(- 0.78 cm/yr)的下降趋势较轻(- 1.44 cm/yr)。在各子流域中,印度河上游的下降幅度最小(- 0.42 cm/yr),而Panjnad的下降幅度最大(- 1.70 cm/yr)。年降水量和径流量呈减少趋势,而气温变化无明显趋势。然而,蒸散量的增加可能是由于流域植被的显著增加(0.23%/年)。水文气候变量、植被和人为因子的变化趋势表明,该地区的GWSA呈持续下降趋势。
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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