LANDSLIDE SUSCEPTIBILITY ASSESSMENT FOR ENSHI, HUBEI PROVINCE: With GIS-based certainty factor and certainty factor-logistic regression coupling model

The geological conditions in Enshi Prefecture of Hubei Province are complex, with a high number of geological disasters, especially landslides. Taking the prefecture as the research area, eight influencing factors are selected, including surface slope, slope type, slope aspect, structure, road, water system, formation lithology and vegetation coverage. Based on the statistical analysis of spatial data on ArcGIS platform, the regional landslide susceptibility is evaluated by using the certainty factor (CF) and certainty factor-logistic regression (CF-LR) coupling model. Then the accuracy of both models is verified by comparing the distribution of disaster sites in the validation set in each zoning area and AUC values. The results show that the susceptibility zoning of the two models are generally consistent, although the accuracy of the coupling model is slightly higher. Based on the calculated values of the combined models, Enshi area is classified into low, medium, high and extra-high susceptible zones in terms of landslide susceptibility level, which can provide support for the prevention and control of geological hazards in the area.