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A Semi-Structured MODFLOW-USG Model to Evaluate Local Water Sources to Wells for Decision Support.
Daniel T Feinstein, Michael N Fienen1, Howard W Reeves2
1Wisconsin Water Science Center, USGS, Middleton, WI. mnfienen@usgs.gov.
A refined groundwater model improves local simulations by using finer grids in the top layer. This allows for better analysis of surface water interactions and well impacts in the Lake Michigan Basin.
Area of Science:
- Hydrogeology
- Environmental Modeling
- Water Resource Management
Background:
- Regional groundwater-flow models often use coarse grids, limiting their ability to simulate local surface water interactions.
- Addressing local management issues, such as surface water depletion by wells, typically requires separate, complex inset models.
- The U.S. Geological Survey developed a regional groundwater-flow model for the Lake Michigan Basin (LMB).
Purpose of the Study:
- To adapt a regional groundwater-flow model for improved local surface water-groundwater interaction simulations.
- To test a "semi-structured" grid approach within the MODFLOW-USG framework.
- To enhance the representation of the stream network and shallow hydrological processes.
Main Methods:
- Applied a version of MODFLOW with refined spacing in the topmost layer to the LMB regional model.
- Converted the parent 20-layer model (5000-foot spacing) to a 4-layer model with 500-foot spacing in the top Quaternary layer.
- Utilized MODFLOW-USG's unstructured formulation to allow for variable grid spacing between layers.
Main Results:
- The semi-structured LMB model accurately reproduces regional flow conditions.
- Finer resolution in the top layer significantly improves the simulation of surface water response to shallow wells.
- The model provides statistical measures correlating inputs with simulated surface water depletion by wells.
Conclusions:
- A semi-structured grid approach enhances the utility of regional models for local-scale groundwater-surface water management.
- The refined model facilitates the development of metamodels for predicting surface water depletion due to pumping.
- This methodology offers a more efficient alternative to labor-intensive inset models for local impact assessments.
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