Groundwater High Spatial Variability Between The Coupled And Non-coupled With MODFLOW

Introduction

Groundwater modeling is crucial for understanding and managing water resources, especially in regions with high spatial variability. Coupling large-scale hydrological models with groundwater flow models like MODFLOW can provide more accurate simulations of groundwater dynamics. This synthesis examines the spatial variability of groundwater when using coupled versus non-coupled models with MODFLOW.

Key Insights

Impact of Grid Resolution on Water Table Depth:
- The grid resolution significantly affects water table depth bias, with finer resolutions providing more accurate simulations of water table fluctuations and depths.
Groundwater-Surface Water Interactions:
- Coupled models like SWAT-MODFLOW can effectively simulate complex interactions between surface water and groundwater, such as groundwater recharge from drainage networks and discharge towards streams.
Groundwater Pumping and Evapotranspiration:
- Coupled models can assess the impact of groundwater-based irrigation pumping on evapotranspiration and groundwater recharge, providing a more comprehensive understanding of water table dynamics.
Calibration and Validation of Coupled Models:
- Independent calibration of surface and groundwater models followed by recalibration of the coupled model improves the accuracy of streamflow and groundwater head simulations.

Conclusion

Coupling large-scale hydrological models with groundwater flow models like MODFLOW enhances the accuracy of groundwater simulations by addressing spatial variability more effectively. Key factors such as grid resolution, groundwater-surface water interactions, and the impact of groundwater pumping are better represented in coupled models, leading to more reliable water resource management strategies.

Groundwater high spatial variability between the coupled and non-coupled with MODFLOW

Summary

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Introduction

Key Insights

Conclusion

Sources and full results

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