Natural Disaster Risk Zoning in Rural Areas Using Gis with Emphasis on Landslides Factor (Case Study: Dohezar Dehestan of Tonekaon County)

The aim of this article is to investigate ways to reduce the damage caused landslides them that this makes the need for landslide hazard mapping gives a necessity. In this paper, an applied research and the analytical and quantitative approach to governing and to prepare GIS layers, 10 layers of information including slope maps, driving directions, slope, rainfall, geology, distance from the fault, the human factor, the soil layer as well as the physical and chemical characteristics include the concentration of lime, salt (EC) and the ph was used. Also for landslide hazard zonation of vision in GIS and information value model is used. Result show 25/88 square kilometers of the total area under study, has the potential for very low risk, 54/09 square kilometers, low risk, 92/57 sq km, medium risk, 85/57 square kilometers, high riskvery low risk area, 15 villages with a population of 5595 people in the low risk area, 33 villages with a population of 15488 people in the risk zone average, 26 villages with a population of 9640 people at high risk and 16 villages with a population of 5187 people in the very high risk zone have.Research limitation: landslides caused by various factors including natural events that damage to the natural landscape, the people and facilities. Since the prediction of landslides is out of the current human knowledge, therefore, identify areas susceptible to landslides and ranking may be partly to avoid the dangers of landslides, so continuous monitoring in areas vulnerable to landslides and rank them as efficient strategies in disaster management is recommended.Practical implications: Is expected to identify areas with a potential landslide of new villages more accurately locate the one hand and the other hand to reform and improve the physical quality of the villages in the area of high-risk to take serious decisions. Original/value: the expected results of this research, adding to the richness of literature, as well as the relevant authorities in making decisions in areas prone to landslides led crisis management is optimized.