Landslide Susceptibility Zonation using linear regression and AHP methods, case study: Haraz Road, Roudhen-Rineh

Land slide is one of the slope instabilities that cause financial losses on socio-economic systems. Recognition of landslie prone ereas is necessary to natural resource management and development planning. Haraz road is one of the major Irans roads that is crowed every year by slope movments.in this Research, the potential of landslide are studied using AHP and linear regression model.For this propose the map layers of slope, aspect, elevation, distance from major faults, distance from minor faults, distance from major rivers, distance from major raods, distance from railway, geology, landuse and average of rain is used.After data analyzing in GIS environment using linear Regressieun and AHP methods the final landslide hazard map was made.The result showed that in two methods for landslide risk zonation, AHP is suitable than linear Regression model. Based on results about 67.8 of study area is high proen to landslides events.