Hazard Assessment of Potential Large-Scale Landslides in the Watershed of the Chenyulan River

Taiwan’s mountains are steep, geologically dispersed, and their hillsides over-utilized. Serious debris flow disasters prone to happen whenever monsoons or typhoons bring a lot of rain. Typhoon Morakot’s large-scale landslide in 2009, which devastated half Xiaolin Village claimed around 500 lives, is one such instance. Large-scale landslides have the potential seriously harm people, property, economy. were less frequent past, but they recently increased frequency. An important topic how avert through efficient risk management. Eight influencing factors chosen after multivariate analysis screening, including three terrestrial (total catchment area size, average slope, total curvature), material (stratum type, distance from fault, normalized-difference vegetation index prior event), two trigger (maximum daily rainfall maximum hourly rainfall). Our overall analysis’ accuracy rankings as follows: neural network, 93.7%; logistic regression analysis, 92.2%; discriminant 89%. The under curve (AUC) values for network (0.819), (0.824), (0.732) all demonstrated high discriminative abilities based on receiver operating characteristic curve, indicating that our models adequate this purpose. more likely when region’s area, curvature, slope higher, according cluster study. These findings can help decrease effects kind by helping create early warning systems.