Predicting flow and transport in highly heterogeneous alluvial aquifers
نویسندگان
چکیده
Successful prediction of groundwater flow and solute transport through highly heterogeneous aquifers has remained elusive due to the limitations of methods to characterize hydraulic conductivity (K) and generate realistic stochastic fields from such data. As a result, many studies have suggested that the classical advective-dispersive equation (ADE) cannot reproduce such transport behavior. Here we demonstrate that when high-resolution K data are usedwith a fractal stochasticmethod that produces K fields with adequate connectivity, the classical ADE can accurately predict solute transport at themacrodispersion experiment site in Mississippi. This development provides great promise to accurately predict contaminant plume migration, design more effective remediation schemes, and reduce environmental risks.
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