Quantifying anthropogenic drivers of water storage decline to support sustainable water management in a coal-mining semi-arid region
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Le résumé fourni par la source
The Mu Us Sandyland (MUS) serves as a major base for China's energy and chemical industries. Intensive coal mining, expanding irrigation, and large-scale ecological restoration have increasingly stressed local water resources, yet their individual contributions remain poorly quantified. Here we used a water balance framework integrating Gravity Recovery and Climate Experiment (GRACE) satellite, reanalysis data, and local statistics, to quantify the drivers of changes in terrestrial water storage (TWS) and groundwater storage (GWS) in the MUS from 2003 to 2020. Our results show that TWS and GWS declined at annual rates of 5.5 mm yr⁻¹ and 3.9 mm yr⁻¹ , respectively. Not accounting for coal mass loss leads to overestimations of TWS and GWS declines by 37.2 % and 44.3 %, respectively, underscoring the importance of incorporating coal mass loss into GRACE-based assessments. Attribution analysis indicates that ecological restoration and irrigation jointly account for about 80 % of water loss, with farmland expansion driven by land occupation–compensation policies amplifying irrigation demand. In the energy-intensive zone, mine dewatering was a significant anthropogenic driver of GWS declines (4.1 mm yr⁻¹), with an impact greater than that of irrigation (3 mm yr⁻¹). Future scenario indicate that projected groundwater recharge increases (12.8 %–17.1 %), outpace demand growth (2.2 %–7.6 %) at the regional scale, permitting an additional 13.8 %–18.6 % expansion of ecological restoration. However, spatial heterogeneity means that some sub-areas within the MUS may need a 2.8 %–13.7 % reduction due to supply–demand conflict, while others can expand by up to 19.1 %. These findings provide sector‑specific, management-ready insights and underscore the need for integrated land‑ and water‑use planning to support sustainable agricultural water use and ongoing ecological restoration in arid regions. • Ignoring coal mass loss overestimates terrestrial and groundwater storage declines by 37 % and 44 %. • Irrigation and ecological restoration drive about 80 % of regional water storage loss. • Mine dewatering exceeds irrigation as a key anthropogenic groundwater driver in energy-intensive areas. • Future recharge exceeds demand, allowing 13.8–18.6 % expansion of ecological restoration.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Quantifying anthropogenic drivers of water storage decline to support sustainable water management in a coal-mining semi-arid region
- Date Crossref
- 01/12/2025
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Shaanxi Normal University pays non établi dans la noticeUniversité ou école supérieure
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Xi'an Jiaotong University Institute of Global Environmental Change pays non établi dans la noticeUniversité ou école supérieure
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Xinjiang Normal University Xinjiang Laboratory of Lake Environment and Resources in Arid Zone pays non établi dans la noticeUniversité ou école supérieure
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Chinese Academy of Sciences pays non établi dans la noticeOrganisme public
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Research Center for Eco-Environmental Sciences pays non établi dans la noticeStructure de recherche
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Xi'an Railway Survey and Design Institute pays non établi dans la noticeStructure de recherche
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School of Geography and Tourism pays non établi dans la noticeUniversité ou école supérieure
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State Key Laboratory of Urban and Regional Ecology pays non établi dans la noticeStructure de recherche
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Xi'an Surveying and Mapping Center pays non établi dans la noticeInstitution
Shaanxi Normal University, Institute of Global Environmental Change — Xi'an Jiaotong University et Xinjiang Laboratory of Lake Environment and Resources in Arid Zone — Xinjiang Normal University, avec 6 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.