Abstract： Linxi mine with a long mining history, and the hydrogeological conditions of the mine become more complex due to the close hydraulic connection between the water-bearing layers as a result of mining damage. According to the hydrogeological data of Linxi Mine, water sample test data of the main aquifers of the mine and relevant geochemical data, the water chemical characteristics of water samples of each water-filled aquifer were relatively similar and difficult to distinguish from each other. In order to timely analyze and judge the source of sudden water in the mine production process, it is necessary to analyze the water quality characteristics of Linxi Mine and determine the characteristic ions of groundwater quality. The Bayesian discriminant model was used to construct a mine water source identification model and establish a database of aquifer water quality characteristics to achieve rapid and accurate analysis and judgment of mine sudden water sources, providing a basis for managing water damage and ensuring efficient mine water damage prevention and control.
