Assessment AHP Model and bivariate statistical methods in landslide hazard zonation(Case Study: Vaz Watershed)

Message:
Abstract:
Landslide hazard assessment can be useful information to reduce its losses as well as advance development programs give each region. Landslide hazard map is very useful in estimating، managing and mitigating landslide hazard for a region. One of the areas prone to natural factors in the occurrence of this watershed and from the north country. Therefore was used to AHP models and bivariate statistical methods included landslide index، weight factor، combined with the weight factor and landslide index and combined landslide index model white AHP. AHP method were used to prioritize the factors. Taken to review features showed of lithology، distance from the road and the negative impact of trees along the road construction in forest areas the most important factors in the occurrence of landslide. In the next stage of the models mentioned landslide hazard map was prepared with the four risk categories low، medium، high and very high. It is 40. 67 percent of the high risk areas in the class، 42. 56% of the low risk and 13% in very high. Assessment models in the study area showed that the combined model landslide index (Wi) with the factor weight (Wf) the amount collected qualitative 1. 013 is the best performance and then were Wi model value. /72، Combining methods Wi and AHP value. /625، AHP value. /417 and Wf value. /107.
Language:
Persian
Published:
Environmental Erosion Researches, Volume:2 Issue: 3, 2013
Pages:
36 to 51
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