Abstract:Groundwater pollution is characterized with hidden existence, hysteretic nature, which makes it difficult to design groundwater restoration schemes, evaluate pollution risks and determine responsibilities for pollution. In this paper, the situation of leakage of sewage from a landfill was considered to study the inverse identification problem of groundwater pollution sources, by means of three methods, namely solute transport simulation model, surrogate model, random statistical method (with adjoint state method and Bayesian method), in order to identify features of groundwater pollution sources. The results show that: the number, location and release history of pollution sources can be identified through solving the inverse problem by combining adjoint state method and Bayesian method; during inverse identification of pollution sources based on Bayesian method, a surrogate model was an alternative to a simulation model, replacement of a simulation model with a surrogate model greatly reduced computational load and also maintained a fairly high degree of accuracy.