Evaluation of a combined spatial multi-criteria evaluation model and deterministic model for landslide susceptibility mapping

摘要: Abstract This study evaluated the application of a combined spatial multi-criteria evaluation model and deterministic for landslide susceptibility mapping in Deokjeok-ri Creek, located northeastern part Korea. region has frequent shallow landslides often caused by intense rainfall on weathered granite soil slopes. compared predictive capability two different models: (SMCE) model, which is semi-quantitative stability (SHALSTAB) used to produce maps. For SMCE input layers causative factors (i.e., topographic, hydrological, soil, forest, geological factors) were prepared pairwise comparison obtain weightage. SHALSTAB, digital elevation was calculate slope wetness indices. Field inventories validate combine models. A map obtained from method with that SHALSTAB revealed total mismatch area between maps all three classes about 53%. Therefore, results improve reliability map. The performance determined using receiver operator curve (ROC). under (AUC) success accuracy 79.56%, 83.6%. These demonstrate more accurate than either individual at delineating landslide-prone areas