Assessment of Landslide Susceptibility Based on Weighted Information Value Model in Pingshan County

This article takes Pingshan County of Yibin City as an example. After collecting various basic data and reviewing the literature, the slope, aspect, Normalized Difference Vegetation Index (NDVI), distance from water system, distance from road, stratum, distance from fault, rainfall 8 kinds of influencing factors are used as evaluation factors. The index of entropy model (index of entropy, IOE) and information values (IV) were used to evaluate the susceptibility of landslide disasters in the study area. On this basis, a weighted information values model (WIV) was proposed. Using the AUC area under the ROC curve to test and compare the three models, the results show that the success rates of the three models of IOE, IV and WIV are 76.2%, 75.6%, and 79.1%, respectively. Finally, according to the natural discontinuity method, the landslide susceptibility index calculated by ArcGIS software is divided into extremely high, high, medium, and low susceptible areas, and the landslide susceptibility zoning map of Pingshan County is obtained, which can provide reference for relevant departments for disaster prevention and mitigation.