LANDSLIDE SUSCEPTIBILITY ASSESSMENT BASED ON COUPLING OF WOE MODEL AND LOGISTIC REGRESSION MODEL

The study of landslide susceptibility is of great practical significance to the risk management of geological hazards and disasters prevention. Currently,the coupling of different evaluation methods is commonly adopted worldwide,but few of them applied the combination of the weight of evidence model(WOE) and other models to assess landslides susceptibility. Taking Yongjia County of Zhejiang Province as an example,nine evaluation factors were elected as the evaluation indices. They include elevation,slope,aspect,distance to river,distance to road,distance to faults,stratum lithology,land cover,and the normalized difference vegetation index(NDVI). The state of each evaluation factor was graded based on the contrast values calculated with WOE,the grading grid ratio and landslide grid ratio. We applied logistic regression model to obtain the weight of each factor. Based on the grid operation function of GIS,we combined weight of states and weight of evaluation factors weight determined by the two models and calculated the probability of landslide occurrence in each evaluation unit obtained a zoning map of landslide susceptibility. The results indicate that the evaluation results of the coupling model is more reasonable and has higher precision. High and extremely high susceptibility of landslide areas are mainly distributed in the water extension area,fault concentration area and lithology weakness area. Landslide susceptibility mapping has a certain reference meaning to landslide risk management and urban disaster prevention planning.