Landslide Hazard Zonation Using Multiple Regression Model By GIS
Author(s):
Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
Identification of regions having potential for landslide occurrence is one of the basic measures in natural resources management. Different landslide hazard zonation models re proposed based on the environmental condition and goals. In this research landslide azard 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, istance 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.
Keywords:
Landslide , Zonation , Model , Multiple regression , Hazard
Language:
Persian
Published:
Journal of Physical Geography, Volume:3 Issue: 7, 2010
Page:
33
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