Abstract:Carrying out groundwater quality evaluation and classification of groundwater quality are of great significance to the protection and utilization of groundwater resources in mines. According to the "Groundwater Quality Standard" (GB/T 14848-2017), 8 evaluation indicators of total hardness, total dissolved solids, sulfate, chloride, iron, nitrate, nitrite and ammonia nitrogen are selected as the distinguishing factors. Taking 28 sets of groundwater data as samples, a distance discriminant analysis(DDA)prediction model is established, the samples are classified using the linear discriminant function obtained, and the model is tested by back-generation estimation. The model was applied to 14 sets of groundwater data in the goaf of Taoshuping Copper Mine in Dongchuan, Yunnan, and the model predictions were completely consistent with the actual results. The research shows that the accuracy of using distance discriminant analysis method to predict the quality of groundwater in the goaf of mines is relatively high. This article provides a new idea and method for the quality evaluation and prediction of groundwater in similar mines.