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<p>In the Mississippi alluvial plain (MAP) area, the demand for groundwater resources from the alluvial aquifer for agricultural irrigation has led to significant reductions in groundwater-level elevation over time. In this study, we use the hydrologic model SWAT + to quantify long-term changes in groundwater storage within the MAP in United States, wherein groundwater is used extensively for irrigation. We apply a linear quantile regression method to perform trend analysis for wet, dry, and average conditions for the 1982–2020 period. The SWAT + model uses the <i>gwflow</i> module to simulate groundwater storage and groundwater-surface water interactions in a physically based spatially distributed manner, with groundwater pumping linked to field-based irrigation demand. Results indicate significant trends in storage and groundwater fluxes. In wet conditions, significant decline trends are noted in groundwater head (–18.0&#xa0;mm/yr.) and groundwater evapotranspiration (–0.7&#xa0;mm/yr.). Under dry conditions, trends are in groundwater head (–28.0&#xa0;mm/yr.), recharge (–5.5&#xa0;mm/yr.), and groundwater discharge (–5.5&#xa0;mm/yr.). For average conditions, decreases include groundwater head (–20.6&#xa0;mm/yr.), recharge (–6&#xa0;mm/yr.), and groundwater discharge (–9.3&#xa0;mm/yr.). This underscores the significance of local management solutions.</p>

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Estimation of groundwater storage loss using surface–subsurface hydrologic modeling in an irrigated agricultural region

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月11日

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  • Salam A. Abbas,
  • Ryan T. Bailey,
  • Jeremy T. White,
  • Jeffrey G. Arnold,
  • Michael J. White

摘要

In the Mississippi alluvial plain (MAP) area, the demand for groundwater resources from the alluvial aquifer for agricultural irrigation has led to significant reductions in groundwater-level elevation over time. In this study, we use the hydrologic model SWAT + to quantify long-term changes in groundwater storage within the MAP in United States, wherein groundwater is used extensively for irrigation. We apply a linear quantile regression method to perform trend analysis for wet, dry, and average conditions for the 1982–2020 period. The SWAT + model uses the gwflow module to simulate groundwater storage and groundwater-surface water interactions in a physically based spatially distributed manner, with groundwater pumping linked to field-based irrigation demand. Results indicate significant trends in storage and groundwater fluxes. In wet conditions, significant decline trends are noted in groundwater head (–18.0 mm/yr.) and groundwater evapotranspiration (–0.7 mm/yr.). Under dry conditions, trends are in groundwater head (–28.0 mm/yr.), recharge (–5.5 mm/yr.), and groundwater discharge (–5.5 mm/yr.). For average conditions, decreases include groundwater head (–20.6 mm/yr.), recharge (–6 mm/yr.), and groundwater discharge (–9.3 mm/yr.). This underscores the significance of local management solutions.