Simulation of water-table aquifers using specified saturated thickness
Rodney A Sheets1, Mary C Hill, Henk M Haitjema
1U.S. Geological Survey, 3215 Marine St., Boulder, CO 80303-1066.
Ground Water
|February 8, 2014
Summary
Simulating groundwater flow in unconfined aquifers is challenging due to variable saturated thickness. A specified-thickness approximation, though criticized, offers significant time savings and accurate results for groundwater modeling.
Area of Science:
- Hydrology
- Hydrogeology
- Numerical Modeling
Background:
- Groundwater flow simulation in unconfined aquifers is complex because saturated thickness varies with hydraulic heads.
- This variability complicates numerical modeling, often requiring iterative solutions.
Purpose of the Study:
- To review the theoretical basis of the specified-thickness approximation for groundwater flow models.
- To derive an error analysis for this approximation.
- To demonstrate its practical utility in complex hydrogeological scenarios.
Main Methods:
- Theoretical review of the specified-thickness approximation.
- Derivation of an error analysis for idealized conditions.
- Application and evaluation of the approximation on a complex test problem (transient and steady-state).
Main Results:
- The specified-thickness approximation yielded maximum drawdown errors of ~4% (transient) and ~20% (steady-state) of initial saturated thickness.
- Mean errors in steady-state simulations were approximately 5% of initial saturated thickness.
- The method significantly reduces computation time and enhances model stability.
Conclusions:
- The specified-thickness approximation is a valuable tool for accelerating groundwater model development, especially during calibration and sensitivity analyses.
- It facilitates convergence and is particularly useful for extensive model runs like uncertainty analysis and resource management scenario development.
- Despite potential criticisms, the approximation provides accurate results and substantial computational benefits in unconfined aquifer modeling.
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