Landslide Risk Assessment Using LNRF and WPINF Models in Kharestan Watershed, Fars Province

Landslide is one of the most important factors of soil erosion, and is a natural disaster that makes numerous financial and life damages each year. Therefore, identifying this phenomenon, effective agents in landslide occurrence, and determination of susceptible areas is necessary for reducing damages of this phenomenon. The aim of this study is to evaluate landslide hazards in the Kharestan Watershed, Fars Province. Firstly, maps of the main factors affecting landslide occurrence including slope, direction, height, rainfall, distance from fault, distance from the road, distance from the waterway, land use, lithology and landslide were prepared. Each basic layer and landslide map was integrated to compute the rate of each parameter using LNRF and WINF models. Then, with overlapping different data layers, landslide hazard zonation maps were prepared. Finally, three indices including Landslide index (Li), Density ratio (Dr), and Quality summation (Qs) were used in order to choose the premier model. Results showed that in the LNRF model 17.59 and 79.63% of watershed were located in high and very high zone of risk map respectively. The quantity of Qs in the LNRF model is 4.52%. Based on these results it can be concluded that LNRF model shows a better performance for landslide hazard zonation.