Evaluation of Hazard Landslide Zonation Using Fuzzy Logic Method in Binalood Mountain

Landslides are one of the most destructive phenomena of nature that cause damage to both property and life every year, therefore, landslide susceptibility zonation is necessary for planning future developmental activities. In this study, the operator of fuzzy logic in landslide hazard zonation has been used in ArcGIS software environment in the southern and northern slopes of Binalood mountain range in Khorasan Razavi province. For this purpose, first layers of 20 factors related to the occurrence of landslide phenomenon were prepared. After fuzzyizing the layers in the ArcGIS environment, the landslide risk zoning was performed using fuzzy Product, fuzzy sum, gamma 0.8 and 0.9. Finally, the accuracy of the obtained maps was evaluated using ROC curve and landslide distribution map. Evaluation of landslide zoning results showed that Fuuzy product and fuzzy Sum operators due to their high and very low sensitivity are not suitable for landslide risk zoning. But fuzzy gamma-ray operation is suitable for landslide zonation. According to the results of the ROC curve and the landslide distribution map, the gamma operators (0.8 and 0.9) have the best performance in modeling and zoning the landslide risk. According to the Landslide Risk Zoning Map using Gamma 0.8, about 72.4 percent of the area has low and very low sensitivity, 9.8 percent has high and very high sensitivity and 17.8 percent has moderate sensitivity.