Underground water pollution probability identification method based on uncertainty analysis model

The invention provides an underground water pollution probability identification method based on an uncertainty analysis model. The method comprises the following steps of (1) generating a first inputdata set through a monitoring information acquisition module, (2) generating a second input data set through a risk source information acquisition module, (3) utilizing the first input data set obtained in the step (1) to carry out grading evaluation on underground water pollutants through a pollution condition evaluation module to generate a first output data set, (4) performing standardized operation through a decision analysis module by utilizing the second input data set obtained in the step (2) to generate a second output data set, (5) performing underground water pollution probability identification through a Bayesian model algorithm module by utilizing the second output data set obtained in the step (4), and (6) displaying the optimal solution of the pollution probability through adata output module and a