Author(s): Angelos N. Findikakis; Nadim K. Copty
Linked Author(s): Angelos N. Findikakis
Abstract: A statistical procedure for quantifying the uncertainty in the evaluation of permeable reactive subsurface barriers is presented. The hydraulic conductivity is defined as a random spatial variable whose statistical structure is inferred from the available hydraulic conductivity data. Monte Carlo simulations and Bayes’Theorem on conditional probability are used to estimate probability-based weights for each of the realizations of the hydraulic conductivity using the hydraulic conductivity data, historical concentration data and contamination source information. Ground water flow and contaminant transport models are then used to probabilistically evaluate the performance of the reactive barriers.