Bayesian uncertainty estimation of adsorption closure models in the computational simulation of contaminant transport.

Identifying sources and understanding the evolution of the spread of contaminants in aquifers is critical and often results in a high-dimensional inverse problem. Computer contaminant transport models are developed by combining physical principles and phenomenological closure equations. However, such models suffer from considerable conceptual uncertainties, mainly due to using phenomenological closures to describe the contaminant adsorption in the media.