Application of inverse methods to contaminant source identification from aquitard diffusion profiles at Dover AFB, Delaware

Application of geostatistical inverse modeling to contaminant source identification at Dover AFB, Delaware Application du modèle inverse en géostatistique pour l’identification de source de pollutions à Douvres AFB, Delaware

Analysis of subsurface soil cores from the site of a field-scale groundwater remediation experiment at Dover Air Force Base, Delaware, has revealed that tetrachloroethene and trichloroethene contamination extends into an aquitard underlying a groundwater aquifer. Geostatistical inverse modeling is used to make inferences regarding the historical concentration conditions in the overlying aquifer...

Application of Bayesian inference methods to inverse modeling for contaminant source identification at Gloucester Landfill, Canada

Field-scale demonstration of induced biogeochemical reductive dechlorination at Dover Air Force Base, Dover, Delaware.

Biogeochemical reductive dechlorination (BiRD) is a new remediation approach for chlorinated aliphatic hydrocarbons (CAHs). The approach stimulates common sulfate-reducing soil bacteria, facilitating the geochemical conversion of native iron minerals into iron sulfides. Iron sulfides have the ability to chemically reduce many common CAH compounds including PCE, TCE, DCE, similar to zero valent ...

A method for enforcing parameter nonnegativity in Bayesian inverse problems with an application to contaminant source identification

[1] When an inverse problem is solved to estimate an unknown function such as the hydraulic conductivity in an aquifer or the contamination history at a site, one constraint is that the unknown function is known to be everywhere nonnegative. In this work, we develop a statistically rigorous method for enforcing function nonnegativity in Bayesian inverse problems. The proposed method behaves sim...

Probabilistic Contaminant Source Identification in Water Distribution Infrastructure Systems

Large water distribution systems can be highly vulnerable to penetration of contaminant factors caused by different means including deliberate contamination injections. As contaminants quickly spread into a water distribution network, rapid characterization of the pollution source has a high measure of importance for early warning assessment and disaster management. In this paper, a methodology...