Abstract: In order to solve the problem of evaluation of water inrush risk of seam 13-1 in Xieqiao mine, the spatial analysis of ArcGIS was used to set up the special layers through the collection and normalization of the data of main control factors. The AHP method was used to determine the weighted proportion of each main control factor. The main control factors were superimposed according to the weight after the dimensionless processing, and the partitioning scheme of water inrush risk in coal seam was put forward. The results of comparison between water inrush data of roof and the partition show that the linear vulnerability index method can evaluate the water inrush risk in seam roof accurately, objectively and quantitatively.