In order to analyze the influence that parameter uncertainty has on groundwater solute transport numerical simulation, this study adopted Monte Carlo simulation to conduct an uncertainty analysis on an example and illustrated its results from the perspective of risk assessment. For the purpose of reducing computation load, Sobol' method was used to analyze the sensitivity of model parameters, which helped to select the more sensitive parameters as random variables and to construct the Kriging surrogate model of the simulation model. This surrogate model provided further help in achieving the Monte Carlo simulation. Results showed:when the confidence was 80%, the confidence intervals of well 1, 2, 3 were 23.46~42.06, 47.99~66.73, 69.54~82.94mg/L, respectively. Combined with risk assessment, the risk of groundwater contamination was calculated as 0.54, which could serve as a scientific guide for the prevention and control of groundwater pollution.