Abstract
Are Di Village experienced a devastating landslide in September 2020. This research utilized the transient rainfall infiltration and a grid-based regional slope stability model (TRIGRS) to assess the causes of slope instability. Input parameters such as soil properties, rainfall data, slope geometry, and soil thickness were integrated into the analysis. The models were validated using landslide scars from the event. The analysis results indicate that soil thickness significantly influences landslide susceptibility. In this study, the empirical equation utilized to estimate soil thickness considered the influence of topography on the distribution of soil thickness. The results calculated from TRIGRS showed that the model with a maximum soil thickness input of 3.5 m produced the most reliable landslide susceptibility map with an %LSclass of 40% and %LRclass of 65%.
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