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The sliding distance is the most critical risk factors in landslide disasters, and many factors affects landslide sliding distance. In order to investigate the influence of various factors on the landslide sliding distance, take the loess landslides on south of Jing he River in Xi'an as the study area, make use of the discrete element simulation software PFC2D on the soil of the study area, establish a model take the five factors of the friction coefficient, the sphere particle size, slope, volume, height as the model variables, and analysis the influence of these five factors on the landslide sliding distance. By regression analysis, a number of numerical results can fit a sliding distance prediction equation of landslides, summarize the sliding distance landslide weights of various factors on the impact of the sliding distance. Keywords-landslide; sliding distance prediction; discrete element; linear regression analysis

Sliding Distance Prediction of Loess Landslide based on the Discrete Element Method