@COMMENT This file was generated by bib2html_grace.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <https://sourceforge.net/users/patstg/>
@COMMENT This file was prepared using the NASA Astrophysics Data System (ADS)
@COMMENT https://ui.adsabs.harvard.edu/
@ARTICLE{2026HydJ..tmp...38L,
       author = {{Lei}, Qingyuan and {Tao}, Wanghai and {Liu}, Shiyao and {Cao}, Jingjing and {Wang}, Quanjiu and {Deng}, Mingjiang and {Liu}, Jianqi and {Yang}, Fan and {Luo}, Pengcheng},
        title = "{Analysis of the dynamic characteristics and driving factors of groundwater reserves in the arid regions of northwest China}",
      journal = {Hydrogeology Journal},
     keywords = {Arid regions, China, GRACE, Groundwater monitoring, Remote and satellite sensing},
         year = 2026,
        month = feb,
     abstract = "{Groundwater storage is essential for regional water supply, and real-
        time monitoring of its dynamics is crucial for supporting the
        sustainable development of irrigation agriculture in arid
        regions. Given the uneven distribution and scarcity of
        groundwater, Google Earth Engine (GEE) was employed to assess
        spatiotemporal variations in groundwater storage (GWS) from 2002
        to 2022 in northwest China, integrating GRACE gravity satellite
        and GLDAS data. The inversion results were consistent with the
        measured groundwater levels (R$^{2}$ = 0.73), confirming high
        accuracy and reliability. From 2002 to 2022, GWS exhibited a
        significant downward trend, with an average decline of 5.32
        cm/year, accompanied by typical intra-annual fluctuations and
        seasonal variability. In spatial terms, although GWS generally
        increases from north to south, the region still shows a
        spatially averaged decline of 9.78 cm/year, resulting in a
        cumulative area-mean reduction of 195.54 cm. The spatiotemporal
        analysis indicates groundwater resources in this region have
        been in a state of long-term overexploitation, and highlights
        the need for urgent regulation and protection. Analysis of the
        driving factors showed that a decrease in precipitation (P) and
        agricultural irrigation (ET$_{Agri}$) are the primary
        contributors to groundwater depletion, particularly in the
        Yellow River Basin and semiarid grasslands. The correlation
        coefficients between GWS and various environmental factors (p
        values < 0.05) follow the order of P > ET$_{Agri}$ >
        evapotranspiration (ET) > fraction of vegetation cover (FVC) >
        temperature (T). These findings provide theoretical
        understanding and data support for protecting and sustainably
        utilizing groundwater resources in the arid regions of northwest
        China.}",
          doi = {10.1007/s10040-026-03016-3},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026HydJ..tmp...38L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
