Abstract

In this paper, we present some numerical results of the determination of flow parameters in a groundwater model. The data used in this parameter estimation is from the MADE experiments conducted on Columbus Air Force Base. Our results are based on least squares cost functional with a finite difference scheme used to solve the flow equation. 1 Introduction The modeling of groundwater flow is a crucial step in any quantitative analysis of subsurface contamination. From site characterization to remediation, flow models provide important decision-making tools. The main difficulty in applying such flow models is the determination of flow parameters such as hydraulic conductivity, which may vary by several orders of magnitude over a particular field site. In this paper, we examine a least squares parameter estimation technique which allows models to be calibrated to field data. The approach we take here begins with a simple model of flow in a saturated porous medium. The coefficient and bou...

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