Document Type: Original Article
Department of Geology, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran
Department of Geology, Zahedan Branch, Islamic Azad University, Zahedan, Iran
Landslide zoning is one of the tools that can be used to identify unstable slopes and use them in sustainable development programs. In this study, to assess the relative risk of slopes and estimate the experimental probability of landslides in the Bababozorg Basin, we used nine factors affecting the slope, including slope degree, slope direction, height, lithology, land use type, precipitation, and distances from faults, communication lines and water supply network. Then we made a map for each factor. We also identified and recorded the landslides in the basin and prepared a map of the landslides. By plotting the factors influencing the slope, with the landslide distribution map, and using the LNRF (Landslide Nominical Risk Factor) model in the ArcMap software environment, the effect of each factor on the slope status was estimated. Accordingly, 6.42%, 17.87, 27.13, 27.45 and 21.11% of the area were classified as very low, low, medium, high and very high, respectively.