Sensitivity Analysis of Parameters in Numerical Simulation of Solute Transport in Groundwater
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Abstract:
In order to improve the precision of groundwater solute transport model and reduce the errors caused by the uncertainties of hydrogeological parameters, sensitivity analysis of parameters is needed for the numerical model. In this paper, a groundwater flow and solute transport model was established to simulate the pore water in an alluvial fan plain using GMS 7.0, and the model was verified. Sensitivity index was introduced to quantify parameter sensitivity. Factor transformation method, known as a local analysis method, was used to perform sensitivity analysis of permeability coefficient, porosity, and dispersity. Variation range of the parameters was set to be 20%. The results showed that (1) permeability coefficient and porosity have the greatest impact on contaminant migration distance, and the difference of sensitivity index between the two parameters is about 20%; (2) dispersity has the least impact on contaminant migration distance, and the sensitivity index of dispersity is one order of magnitude lower than that of permeability coefficient and porosity; and (3) contaminant migration distance shows a good linear correlation with permeability coefficient and porosity within 20% of variation ranges of both parameters.
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