In the light of the characteristics of AMT data, this paper deals with the commonly used data processing methods for improving the vertical resolution, removing noise and suppressing the static effect as well as their characteristics. According to the quality of the raw data and the geological problems to be solved, we should choose different processing and inversion methods as well as their combinations in practice so as to get true and reliable formation resistivity values. Two means are also described in this paper concerning the formulation of mathematical models of groundwater salinity evaluation for pore formation, with some relevant application examples provided. It is concluded that different geophysical methods and different inversion methods will result in differences in formation resistivity values. While using the same mathematical evaluation model for salinity in the same work area, we should pay attention to the consistency of the working methods and inversion methods and make full use of existing data as well as choose appropriate methods to establish salinity assessment mathematical model based on the reality.