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Decoding human–climate interactions in China's water–stressed aquifers: mechanistic modeling approach

Sun, Jianchong, Hu, Litang, Zhang, Junchao, and Wang, Pei, 2026. Decoding human–climate interactions in China's water–stressed aquifers: mechanistic modeling approach. Journal of Hydrology, 669:135117, doi:10.1016/j.jhydrol.2026.135117.

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@ARTICLE{2026JHyd..66935117S,
       author = {{Sun}, Jianchong and {Hu}, Litang and {Zhang}, Junchao and {Wang}, Pei},
        title = "{Decoding human-climate interactions in China's water-stressed aquifers: mechanistic modeling approach}",
      journal = {Journal of Hydrology},
     keywords = {Groundwater level change, Integrated groundwater flow modeling, Climate change, Anthropogenic activities, Beijing-Tianjin-Hebei region},
         year = 2026,
        month = apr,
       volume = {669},
          eid = {135117},
        pages = {135117},
     abstract = "{Groundwater systems, functioning as the pivotal nexus for socio-
        ecological-economic systems, are experiencing increasingly
        complex reconfigurations of recharge-discharge dynamics under
        the dual pressures of climate change and anthropogenic
        activities. In the Beijing-Tianjin-Hebei (BTH) plain, a globally
        recognized groundwater stress hotspot, managed recharge
        initiatives have partially mitigated aquifer depletion. However,
        the intricate interplay between climate variability and human
        activities continues to pose significant management challenges.
        This study developed an integrated groundwater modeling
        framework that combines in-situ monitoring and Gravity Recovery
        and Climate Experiment (GRACE/GFO) satellite observations to
        analyze the historical evolution of the BTH aquifer (Phase I:
        2003─2015; Phase II: 2016─2020). It clarified the relationships
        between GRACE/GFO-derived storage changes and shallow/deep
        groundwater and projected groundwater storage trajectories
        (2021─2050) under Shared Socioeconomic Pathways (SSPs), building
        on current ecological replenishment policies. The findings
        revealed that shallow aquifers were the primary drivers of
        regional groundwater depletion (2003─2020), with an average
        annual storage decline rate of 1.45 billion m$^{3}$ yr$^{─1}$,
        despite emerging recovery signals during 2016─2020. GRACE/GFO-
        derived groundwater storage data exhibited closer agreement with
        simulated shallow-aquifer fluxes compared to deep aquifers in
        process-based models. Ecological water replenishment accelerated
        groundwater storage recovery across all SSPs scenarios,
        irrespective of pumping reductions. The efficacy of recharge
        demonstrated climate resilience across various SSPs scenarios
        (2021─2050), with comparable magnitudes of 11.3\%─27.5\%,
        12.2\%─29.9\%, and 9.6\%─23.8\% for SSP1-1.9, SSP2-4.5, and
        SSP5-8.5, respectively. These results established robust
        mechanistic linkages between surface interventions and aquifer
        responses, offering quantitative baselines for adaptive
        management strategies in highly stressed aquifer systems.}",
          doi = {10.1016/j.jhydrol.2026.135117},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026JHyd..66935117S},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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