Investigation on the spatial distribution of landslides in Sichuan Province, southwest China

In this study, a total of 34,893 landslides collected from the Sichuan Province China are used to reveal their spatial distribution. Correlations between distribution and five main factors [i.e. topography, rainfall, lithology, peak ground acceleration (PGA), human activity] analyzed based on Geographical Information System (GIS) platform. Topographic exert significant influence landslide occurrence, other also sensitive include lithology (Classes 3 4), PGA (≤0.15 g), rainfall (90–140 mm), road density (≤0.6 km/km2). The geographical detector model is detect relative importance individual influencing factor interaction effects results show that interacting PGA, river density, more closely related than every single factor. study can provide foundation insights for hazard reduction schemes in future.