Comparative Assessment of the Efficacy of the Five Kinds of Models in Landslide Susceptibility Map for Factor Screening: A Case Study at Zigui-Badong in the Three Gorges Reservoir Area, China

Landslides are geological disasters affected by a variety of factors that have the characteristics strong destructive nature and rapid development cause major harm to safety people’s lives property within scope disaster. Excessive landslide susceptibility mapping (LSM) can reduce accuracy LSM results not conducive researchers finding key factors. In this study, with Three Gorges Reservoir area Padang section as an example, frequency ratio (FR), index entropy (IOE), Relief-F algorithm, weights-of-evidence (WOE) Bayesian model were used sort screen importance 20 factors; then, LSMs generated based on different factor sets modeled evaluated further scored. The showed IOE screening was better than FR, Relief-F, WOE models in case retaining no fewer eight score for without 45 points, 12 screened 44.8 indicating there optimal retention number had little effect when used. core set obtained method comparing increase scores corresponding effectively improved results, thus verifying effectiveness proposed ranking study improve scientific soundness results.