Prioritization of Landslide Effective Factors and its Hazard Mapping using Fuzzy logic A case study: Kakasheraf watershed

Landslide is one of the mass movement processes that occur in Iran and parts of the world every year. It causes huge human loss and economical damages. In order to check the stability of slopes in Kakasheraf basin, in the first step sliding areas were identified using the aerial photography and field surveys and then distribution map of landslide is provided. Impact of each of these factors which are included: dip, aspect, altitude, lithology, landuse and distance from the Road and Drainage is assessed in Arc GIS software environment merging the effective factors on landslide with the landslide distribution map. Then these factors were prioritized using AHP model. In this study, the fuzzy logic and density area method in order to landslide hazard zonation has been used in the kakasheraf watershed. The used for assessment and classification of models outputs in Empirical probability index of landslide risk. Results show that, the fuzzy logic, is an applicable method than Density area model for mapping the landslide risk in Kakasheraf watershed.