Application of Bivariate and Multivariate Statistical Techniques in Landslide Susceptibility Modeling in Chittagong City Corporation, Bangladesh

摘要: The communities living on the dangerous hillslopes in Chittagong City Corporation (CCC) Bangladesh recurrently experience landslide hazards during monsoon season. frequency and intensity of landslides are increasing over time because heavy rainfall occurring a few days. Furthermore, rapid urbanization through hill-cutting is another factor, which believed to have significant impact occurrence landslides. This study aims develop susceptibility maps (LSMs) use Dempster-Shafer weights evidence (WoE) multiple regression (MR) method. Three different combinations with principal component analysis (PCA) fuzzy membership techniques were used tested. Twelve factor (i.e., slope, hill-cutting, geology, geomorphology, NDVI, soil moisture, precipitation distance from existing buildings, stream, road drainage network, faults-lineaments) prepared based their association historical events. A inventory map was field surveys for model simulation validation purposes. performance predicted LSMs validated using area under relative operating characteristic (ROC) curve overall success rates 87.3%, 90.9%, 91.3%, 93.9%, respectively WoE, MR all layers, PCA probability layers.