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<p>Estimates of groundwater abstraction volumes for irrigation are essential for water management and water supply forecasting. An integrated modeling approach is presented to quantify spatiotemporal field-level abstraction volumes. The approach is both demand-driven, using crop growth algorithms and soil moisture to trigger irrigation events, and supply-constrained, using simulated groundwater storage to constrain extraction. The approach uses the SWAT + hydrologic model, with the use of the <i>gwflow</i> subroutine for simulating spatially distributed groundwater storage and flow. The approach is demonstrated for the Mississippi Delta (northwest Mississippi, USA), a region of high groundwater irrigation and groundwater depletion, for the period 2000–2020. The model is corroborated using system responses that constrain both soil moisture and groundwater storage: streamflow, crop yield, crop evapotranspiration, groundwater level changes, and annual abstraction volumes. Results show good agreement for all system responses, with groundwater level changes matching groundwater depletion magnitudes in the central region of the Big Sunflower Watershed. Simulated annual abstraction volumes generally match measured volumes on an average and frequency basis, although an underestimation of 20% occurs for one year (2015), due to the automatic irrigation feature of the model. Therefore, in addition to providing accurate annual volumes of groundwater abstraction for most years, the model can also be used to quantify the volume of excessive irrigation, and hence the volume of groundwater depletion that can be prevented. This modeling approach can be used to estimate historical abstraction rates and predict future changes in groundwater abstraction and storage trends for varying climate and management scenarios.</p>

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Quantifying agricultural groundwater abstraction using an integrated watershed modeling approach, Mississippi Delta, USA

  • 期刊论文

  • 发表日期：

    2025年7月12日

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  • Ryan T. Bailey,
  • Salam Abbas,
  • Natalja Čerkasova,
  • Jeffrey G. Arnold,
  • Michael J. White,
  • Sayantan Majumdar,
  • Ryan Smith

摘要

Estimates of groundwater abstraction volumes for irrigation are essential for water management and water supply forecasting. An integrated modeling approach is presented to quantify spatiotemporal field-level abstraction volumes. The approach is both demand-driven, using crop growth algorithms and soil moisture to trigger irrigation events, and supply-constrained, using simulated groundwater storage to constrain extraction. The approach uses the SWAT + hydrologic model, with the use of the gwflow subroutine for simulating spatially distributed groundwater storage and flow. The approach is demonstrated for the Mississippi Delta (northwest Mississippi, USA), a region of high groundwater irrigation and groundwater depletion, for the period 2000–2020. The model is corroborated using system responses that constrain both soil moisture and groundwater storage: streamflow, crop yield, crop evapotranspiration, groundwater level changes, and annual abstraction volumes. Results show good agreement for all system responses, with groundwater level changes matching groundwater depletion magnitudes in the central region of the Big Sunflower Watershed. Simulated annual abstraction volumes generally match measured volumes on an average and frequency basis, although an underestimation of 20% occurs for one year (2015), due to the automatic irrigation feature of the model. Therefore, in addition to providing accurate annual volumes of groundwater abstraction for most years, the model can also be used to quantify the volume of excessive irrigation, and hence the volume of groundwater depletion that can be prevented. This modeling approach can be used to estimate historical abstraction rates and predict future changes in groundwater abstraction and storage trends for varying climate and management scenarios.