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Published on: September 7, 2019
Reducing capture zone uncertainty with a systematic sensitivity analysis
Steven P Esling1, John E Keller, Kenneth J Miller
1Department of Geology, Southern Illinois University Carbondale, Carbondale, IL 62901, USA. esling@geo.siu.edu
This study presents a numerical modeling approach to define wellhead protection areas (WHPAs) by simulating capture zones. The method uses plausible recharge to hydraulic conductivity ratios to identify potential groundwater contamination pathways.
Area of Science:
- Environmental Science
- Hydrogeology
- Water Resource Management
Background:
- Wellhead protection areas (WHPAs) are crucial for safeguarding community wells from surface contamination.
- Traditional methods for delineating capture zones often rely on simplified models or arbitrary zones, especially in data-scarce regions.
- Accurate capture zone delineation is essential for effective WHPA planning.
Purpose of the Study:
- To introduce a numerical modeling approach for defining wellhead protection areas (WHPAs).
- To investigate the impact of recharge to hydraulic conductivity ratios (R/K) on capture zone size and shape.
- To provide a more robust method for capture zone delineation in areas with limited hydrogeological data.
Main Methods:
- Calibration of a numerical groundwater flow model to regional topography.
- Application of a matrix of plausible recharge to hydraulic conductivity (R/K) ratios.
- Development of a composite capture zone encompassing multiple model simulations.
Main Results:
- The numerical approach yields multiple plausible capture zones rather than a single uncertain one.
- The composite capture zone provides a more conservative and protective boundary for WHPAs.
- The method demonstrated effectiveness in delineating capture zones within alluvial aquifers.
Conclusions:
- Numerical modeling offers advantages over analytical or arbitrary methods for capture zone delineation.
- A composite capture zone approach enhances the reliability of wellhead protection area definitions.
- This systematic method improves groundwater resource protection for community wells, particularly in alluvial settings.
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