1999
DOI: 10.1029/1999wr900092
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Application of inverse methods to contaminant source identification from aquitard diffusion profiles at Dover AFB, Delaware

Abstract: Abstract. This paper presents a refinement and expansion of our previously described efforts to estimate contaminant plume history from observed contaminant concentrations within a low-permeability aquitard at the site of a field-scale groundwater remediation experiment at Dover Air Force Base. At this site, a two-layer aquitard has been contaminated with tetrachloroethene and trichloroethene through diffusive mass transfer from an overlying contaminated aquifer. Measurements of contaminant concentrations in t… Show more

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Cited by 106 publications
(85 citation statements)
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“…Equipped with an increasing body of knowledge regarding contaminant fate and transport processes in groundwater, researchers are beginning to focus on realistic inverse modeling efforts aimed at reconstructing source information [e.g., Liu and Ball, 1999]. In this paper we solve the inverse problem to identify the location of a dissolving DNAPL pool on the bottom of a three-dimensional porous medium.…”
Section: Introductionmentioning
confidence: 99%
“…Equipped with an increasing body of knowledge regarding contaminant fate and transport processes in groundwater, researchers are beginning to focus on realistic inverse modeling efforts aimed at reconstructing source information [e.g., Liu and Ball, 1999]. In this paper we solve the inverse problem to identify the location of a dissolving DNAPL pool on the bottom of a three-dimensional porous medium.…”
Section: Introductionmentioning
confidence: 99%
“…By contrast, the inverse problem is intended to find the unknown input variables that give rise to a partially known output state (Liu and William, 1999). In the source identification of a contaminant, the injection locations are unknown.…”
Section: Source Tracking With Annsmentioning
confidence: 99%
“…Though commonly employed for spatially varying parameters Tikhonov regularization has been employed in the reconstruction of a time-varying contaminant source [Liu and Ball, 1999]. Tikhonov relationships can be linear or nonlinear, and are often designed to yield smooth parameter fields.…”
Section: Tikhonov Regularizationmentioning
confidence: 99%
“…This takes the form of a series of regularization equations, the weights for which are determined during the inverse process. Regularization equations are typically based upon differencing schemes, such as the difference of a parameter value from a preferred value, or the difference in value between parameters [Ory and Pratt, 1995;Liu and Ball, 1999]. Example regularization equations are described by Doherty [2003] and may be similar in form to prior information equations described by Cooley [1982].…”
Section: Tikhonov Regularizationmentioning
confidence: 99%
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