Chapter
Apr 26, 2012

An Analytical Solute Transport Model for In Situ Estimation of Retardation

Publication: World Environmental and Water Resources Congress 2009: Great Rivers

Abstract

This paper presents an analytical model for evaluating a contaminant's in-situ retardation coefficient from concentration data obtained from an extraction well in a region of initially uniform contamination. Effective retardation estimates are required to effectively evaluate contaminant transport. This estimate often relies on literature values for the distribution coefficient, Kd, and site-specific estimates for effective porosity, bulk density, and chemical composition of the porous medium. When more accuracy is required, column or field studies may be performed to define a contaminant breakthrough curve which is used to determine retardation. These data can, in many instances, be difficult and expensive to obtain and interpret. In practice, in-situ retardation coefficients have been frequently evaluated using the results of injection well data and analytical solutions to the governing transport equation in radial coordinates or multi-dimensional numerical modeling of the transport equation using data from extraction wells. This study presents a solution and method to use extraction well data and the in-situ contaminant, rather than injection well data and an introduced tracer. Since the solution is based on extraction well data, no tracers or chemicals need to be injected into an aquifer and data from potential remediation wells can be used to obtain these values. In addition to the solution, an integral solution to the instantaneous concentration at the extraction well is presented which allows retardation estimates to be made using only extraction well data and not requiring an observation well. The solution method presented is a numerical inversion of a Laplace transform solution using the Stehfest algorithm to provide non-dimensional results in real time and space.

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Go to World Environmental and Water Resources Congress 2009
World Environmental and Water Resources Congress 2009: Great Rivers
Pages: 1 - 8

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Published online: Apr 26, 2012

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Gustavious Paul Williams [email protected]
Department of Civil and Environmental Engineering, 368 Clyde Building, Brigham Young University, Provo, UT 84602. E-mail: [email protected]
David Tomasko [email protected]
Environmental Science Division, Argonne National Laboratory, 9600 South Cass Ave, Argonne, IL 60439. E-mail: [email protected]

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