Abstract
A stochastic model for transport of radionuclides in soil is presented. It is based on probability density functions of solute displacements, which are interpreted as impulse response functions of a linear dynamic system. Two transport models are discussed: (1) a convective-stochastic approach which takes into account spatial variability of flow and sorption and leads to a lognormal probability distribution of displacements, and (2) the conventional convective-dispersive model with a constant retardation coefficient. To compare their applicability, both models were applied to depth distributions of 90Sr and 137Cs fallout measured in an Orthic Podsol. The convective-stochastic approach was found to provide a better representation of the observed depth distributions. Using this model, migration rates of the radionuclides were calculated.
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