Abstract: The temporal and spatial distribution of railway disconnection and its relationship with precipitation characteristics were analyzed by using the railway disruption recordsin Liaoning area and matching the precipitation dataprior to the disruption,and the precipitation return period was calculated.The results show that There were 334 railway outagesin Liaoningover the past 11 years,and the annual change trend is consistent with the change trend of summer precipitation in Liaoning.The disruptions were distributedfrom June to October,andthe number of disruptions in August was the highest.The line with the most disruptionsisthe Dandong section of the Shendan Line,followed by the Fuxin-Jinzhou junction section of the Xinyi Lineandthe Jingha High-speed Line.The slope at the railway water damage breakpointsis mainly between 0° and 4°.With the increase of the slope,the frequency decreases.The elevations are mainly in low-elevation areas below 300 m.There is a significant positive correlation between the number of railway outages and precipitation,andwith a correlation coefficient of 0.86.The main precipitation levels leading to the disruptionsof the railway in summer are rainstorm and heavy rainstorm,and the main precipitation type is local rainstorm.The feature importance of various geographic information elements was ranked,andthe top four elements were selected as clustering factors.The K-means clustering method was used to divide Liaoning into three geographical regions,andthe rainfall return period was calculated using precipitation data from different time periods for the three regions,to support railway disaster prevention in summer.