Downscaled GRACE data reveals anthropogenic dominance in groundwater storage decline across China’s oases

• Over the past 21 years, China’s oases have lost groundwater storage equivalent to the water volume of 4.5 Bosten Lakes. • Changes in groundwater storage dominate the variations in terrestrial water storage in China’s oases. • Anthropogenic stressors explain 78 %–89 % of GWS decline in the majority of sub-regions. Groundwater is vital for sustaining China’s oases, yet climate change, population growth, urbanization, and oasis expansion threaten these fragile ecosystems. To address limited understanding of groundwater dynamics, we combined GRACE/GRACE-FO satellite data with machine learning to generate high-resolution (0.1°) maps of total water storage (TWS) and groundwater storage (GWS) in China’s oases. Our spatiotemporal random forest model (RFst) produced monthly TWS anomalies (TWSA) and GWS anomalies (GWSA) consistent with original GRACE data (0.5° resolution; cross-validation R 2 = 0.97, RMSE = 0.59). Downscaled data improved agreement with groundwater levels from 103 monitoring wells, increasing wells with strong correlations (>0.6) by 20 %. From 2002 to 2023, both TWS and GWS declined significantly (−5.29 mm/year and − 5.49 mm/year, respectively), with GWS accounting for 84 % of TWS loss. A two-stage generalized additive model (GAM) revealed that 78–90 % of GWS decline resulted from human activities—primarily population growth, cropland expansion, and urbanization. In contrast, oases near humid regions (e.g., Inner Mongolia, Ningxia) showed fluctuating GWS trends, where climate and human factors explained less variability (R 2 = 0.62–0.64), suggesting localized complexities. Spatial heterogeneity in groundwater depletion highlights varying pressures: arid-region oases (Xinjiang, Qinghai) faced severe declines driven by human demand, while transitional zones exhibited mixed responses. These findings underscore the need for region-specific water management strategies to address climate-human interactions. By enhancing resolution and validation, our study clarifies groundwater trends and provides a scientific foundation for sustainable oasis development in Northwest China’s arid regions.

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Publication Details

Journal
Ecological Indicators
Published
2025-09-24
DOI
https://doi.org/10.1016/j.ecolind.2025.114209
Citations
2
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
3.59
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article

Downscaled GRACE data reveals anthropogenic dominance in groundwater storage decline across China’s oases

Philippe De Maeyer, Qi Liu, Peter L.M. Goethals, Sameh Kotb Abd‐Elmabod et al.
2 citations
Ecological Indicators
Geophysics and Gravity Measurements
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article

Downscaled GRACE data reveals anthropogenic dominance in groundwater storage decline across China’s oases

Philippe De Maeyer, Qi Liu, Peter L.M. Goethals, Sameh Kotb Abd‐Elmabod, Dongwei GUI, Dongping Xue, Xiaonan Chen, Bochao Cui
article en
2 citations

Abstract

• Over the past 21 years, China’s oases have lost groundwater storage equivalent to the water volume of 4.5 Bosten Lakes. • Changes in groundwater storage dominate the variations in terrestrial water storage in China’s oases. • Anthropogenic stressors explain 78 %–89 % of GWS decline in the majority of sub-regions. Groundwater is vital for sustaining China’s oases, yet climate change, population growth, urbanization, and oasis expansion threaten these fragile ecosystems. To address limited understanding of groundwater dynamics, we combined GRACE/GRACE-FO satellite data with machine learning to generate high-resolution (0.1°) maps of total water storage (TWS) and groundwater storage (GWS) in China’s oases. Our spatiotemporal random forest model (RFst) produced monthly TWS anomalies (TWSA) and GWS anomalies (GWSA) consistent with original GRACE data (0.5° resolution; cross-validation R 2 = 0.97, RMSE = 0.59). Downscaled data improved agreement with groundwater levels from 103 monitoring wells, increasing wells with strong correlations (>0.6) by 20 %. From 2002 to 2023, both TWS and GWS declined significantly (−5.29 mm/year and − 5.49 mm/year, respectively), with GWS accounting for 84 % of TWS loss. A two-stage generalized additive model (GAM) revealed that 78–90 % of GWS decline resulted from human activities—primarily population growth, cropland expansion, and urbanization. In contrast, oases near humid regions (e.g., Inner Mongolia, Ningxia) showed fluctuating GWS trends, where climate and human factors explained less variability (R 2 = 0.62–0.64), suggesting localized complexities. Spatial heterogeneity in groundwater depletion highlights varying pressures: arid-region oases (Xinjiang, Qinghai) faced severe declines driven by human demand, while transitional zones exhibited mixed responses. These findings underscore the need for region-specific water management strategies to address climate-human interactions. By enhancing resolution and validation, our study clarifies groundwater trends and provides a scientific foundation for sustainable oasis development in Northwest China’s arid regions.

Ecological IndicatorsVol. 179
Chinese Academy of Sciences (CN), Ghent University (BE), Xinjiang Institute of Ecology and Geography (CN), Academy of Scientific Research and Technology (EG), National Research Centre (EG), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 7%
Geophysics and Gravity Measurements
3.59
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