Abstract：The various methods for identifying the sources of mine water inrush were comprehensively reviewed. It was found that in addition to the method for water chemical analysis, other methods were based on a certain theory. Some methods use different optimal structure functions to distinguish the source of mine water bursting. Other methods construct a suitable interval to determine a water inrush source. Generally, if more water samples were obtained, BP neural network method was used, and if fewer water samples were attained, SVM method was used. Based on 167 original water samples of Hebi MIne, a BP neural network model to distinguish sources of mine water bursting was established. The prediction accuracy of this model was 91. 67%, wherefore the predicted results can provide a reference for mine safety production.

Keyword：mine;sources of water inrush;BP neural network;