Landslide Hazard Zoning Using Multivariate Linear Regression (Case Study: Kohsar Watershed)

The aim of this research was to generate a landslide hazard zoning map by using the multivariate linear regression method in the Kohsar Watershed, Northwest of Tehran. Initially, we used field surveys, local interview and review of studies outside and inside of Iran. Eleven effective factors were recognized on landslide. These factors included: slope degree, slope aspect, elevation, lithology, land use, road, drainage, fault, precipitation, soil texture and erosion. In the next stage, the information layers of the above parameters were prepared in the geographic information system (GIS) environment using Arc GIS 9.3 software. These maps were overlaid with the landslide inventory map. Then, a homogeneous unit map was prepared. In order to quantify the factors and give an appropriate weight to the parameters, the slide area percentage in each unit was calculated. Multiple regressions were used for statistical analysis. The results showed that the three factors - river, road and soil texture had the highest effect on landslide occurrence.