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:: Volume 1, Issue 1 (12-2013) ::
jgit 2013, 1(1): 65-80 Back to browse issues page
Evaluating of Bivariate Statistical Analysis Method, by using GIS in Dez Olya Basin
Ahmad Nasr Azadani * , Akbar Ghazi Fard , Kourosh Shirani , Homayoon Safaei
Natural Resources Research Center, Esfahan
Abstract:   (4911 Views)
Recognition the effect of mass movement as one of the erosion types in impendent of urban areas, farms, dam reservoir, roads, etc have a special importance. The Pishkooh area with 130 km2 is located at west of Esfahan province and have a distance about 80 km from west of Feridun Shahr township. In first step, the distribution of landslide was investigated by using air photos, satellite data of Landsat TM and field survey. In the next step, the effective factors in landslide occurrence were distinguished. These parameters are: lithology, slope, distance from road, vegetation, annual rainfall, distance from fault and distance from drainage system. By using Geographic Information System (GIS) and Ilwis & Arc GIS softwares and based on effective parameters, the landslide hazard zonation was prepared. For hazard zonation the bivarite statistical analysis method (information value and density area) was used. At last, it was determined that the lithology, vegetation and rainfall parameters act as the most important factors for landslide occurrence. Comparing two methods by LI and DR indexes shows that the information value method were distinguished that the high and very high hazard zones are better than the density area method. Low and moderate hazard zones are not recognized in both methods. Therefore, in studying different areas the information value method acts better than the density area one.
Keywords: Pishkooh, Feridun shahr, Zonation, Landslide, GIS, LI, DR
Full-Text [PDF 1998 kb]   (1540 Downloads)    
Type of Study: Research |
Received: 2015/02/19 | Accepted: 2015/02/19 | Published: 2015/02/19
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Nasr Azadani A, Ghazi Fard A, Shirani K, Safaei H. Evaluating of Bivariate Statistical Analysis Method, by using GIS in Dez Olya Basin. jgit 2013; 1 (1) :65-80
URL: http://jgit.kntu.ac.ir/article-1-57-en.html

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Volume 1, Issue 1 (12-2013) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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