Abstract
ABSTRACT: This paper presents a method for estimating aquifer dispersivities in solute transport models. Sensitivity equations are derived for the calculation of sensitivity coefficients. A modified Gauss‐Newton algorithm is used to perform the least‐squares minimization. A statistical procedure is outlined to assess reliability of the estimated parameters. The solute transport model is solved by the upstream weighted, multiple cell balance method which combines the concepts of local mass balance and finite element approximations. A one‐dimensional solute transport problem in a vertical column system is first used to illustrate the inverse technique. A second example considers the parameter identification problem for three‐dimensional solute transport with a unidirectional steady and uniform flow field. The third example solves the parameter identification problem in a three‐dimensional, stream‐aquifer, solute transport system with steady state flow. Numerical experiments are conducted to study data requirements for parameter identification.
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