Lnadslide Hazard Zonation using Multivariate Regression in GIS Environment (Case Study: Aghmashhad Watershed, Mazandaran)

Identification of factors affecting on existing of landslide as well as its zonation in the given watershed is one of the basic tools for landslide control and selection of approach and effective solution as well. In this study landslide hazard mapping provided using previous landslide distribution and multivariate regression model in GIS environment in Aghmashhad. With reviewing previous resources and studying of Aghmashahd watershed, the eight factors of altitude, slope, aspect, geology, soil, land use, distance from river and distance from road were selected. With a field observation of the whole watershed, the local information and GPS were listed and landslide preparation map was prepared with stepwise multivariate regression in the statistical software SPSS. The distance from the river factor was selected as major factor affecting the landslide. The benefit of this model is to assess the expansive areas in short time. Research result showed that there is a significant correlation at the 0.01 level (P< 0.01) between potential hazard values, classes and current land slide area.