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A numerical modeling of uncertain parameters associated to a transport model of radionuclides in porous media
With the importance devoted to the protection of the natural environment, the computer simulation of contaminant transport in groundwater has acquired recognized importance as a tool for the prediction of future. In this context, we present a random fields generator for building a Monte Carlo model that simulates radionuclide transport in the context of the risk analysis for radioactive waste in deep geological formations. We focus our analysis on one important parameter: the retardation factor appearing in the contaminant transport model. Since, in general, the parameters of the geological medium are sampled from given probability distribution functions, we propose to work in a statistical framework by generating random fields for parameters with a simple fast and efficient algorithm. We use a simulator of non-gaussian fields suggested by Mikhailov connected with a stationary fluxes of points that give processes called Palm fluxes.
Monte Carlo model, Radionuclide, Contaminant transport model, Random fields, Palm fluxes, Retardation factor, Finite elements.
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