پهنه بندي خطر زمين لغزش ها با مدل رگرسيون چندمتغيره با استفاده از GIS

Landslide Hazard Zonation Using Multiple Regression Model By GIS

Identification of regions having potential for landslide occurrence is one of the basic measures in natural resources management. Different landslide hazard zonation models are proposed based on the environmental condition and goals. In this research landslide hazard zonation map using multiple regression model was provided and applicability of this model is investigated in Bagh Dasht watershed. Dependent variable is landslide inventory map and independent variables consist of information layers as Geology, slope, aspect, distance from river, distance from road, distance from fault and land use. For doing this, existing landslides have been identified and an inventory map made. The landslide hazard zonation map is based on the multiple regression provided. The level of similarity potential hazard classes and figures of this model were compared with the landslide inventory map in the SPSS environments. Results of research showed that there is a significant correlation between the potential hazard classes and figures with the area of landslides. The multiple regression model is suitable for application in the Bagh Dasht Watershed.