Abstract: In order to identify the water source of mine water inrush quickly and accurately, and reduce the harm caused by mine water inrush, Baode mine was taked as an example, Ca2+、Mg2+、Na++K+、SO42－、Cl-、HCO3- were selected as the discrimination indexes. Through The representative water samples of each aquifer Were determined by analyzed the chemical characteristics of water samples. And then, the coupled Principal Component Analysis (PCA) - Outlier Tests (OT) - Regression - Bayes model were used to identify the water source of Baode mine. The results show that: the water quality types of the Goaf, Permian sandstone aquifer, Carboniferous sandstone aquifer and Ordovician limestone aquifer in Baode mine were HCO3-Ca.Na.Mg, HCO3-Na, HCO3-Na, HCO3-Ca. The main components of Baode mine water samples are Ca2+、Mg2+、Na++K+、SO42－, which can be used as comprehensive indicators to reflect the original water sample data information of Baode mine. The outliers in the tested water samples were determined and corrected by Outliers Test and Regression model. Compared the results of before and after data correction, the accuracy after correction was 95%, and the accuracy was significantly improved, which can accurately and efficiently identify water inrush source.