Probabilistic Simulation for Reliable Solute Source Identification in Heterogeneous Porous Media

A probabilistic framework to identify solute sources in heterogeneous porous media is the theme of the present paper. Monte Carlo analyses of reversed time solute transport are conducted with the help of stochastically generated hydraulic conductivity fields, kriging, and the random walk particle tracking method. The methodology is capable of pinpointing the most probable solute source and assessing, in a rational manner, the relative liability of each source.

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