نوع مقاله : پژوهشی
نویسندگان
1 گروه محیط زیست، دانشکده منابع طبیعی، دانشگاه سمنان
2 گروه محیطزیست، دانشکده منابع طبیعی، دانشگاه سمنان، سمنان، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
In mountainous regions, mass movement and landslide are regarded as a significant erosional process. Steep slope areas are geologically and ecologically sensitive and fragile, and the occurrence of landslides makes this area more vulnerable to many hazards. The primary goal of this research is to create a landslide susceptibility map using bivariate statistical models (frequency ratio and information value) and a multivariate model (logistic regression), and selecting the appropriate model for this task in Chalus County. The first step in this research is to prepare distribution map of the landslides and determine their location on the map. This was done using Google Earth imagery and field surveys. The maps of condiioning factors were prepared from different sources and entered into the GIS environment. frequency ratio, information value, and logistic regression as used to create landslide susceptibility map. The ROC curve and the area under the curve were used to assess the accuracy of the models. The AUC for frequency ratio, information value, and logistic regression were 0.705, 0.721, and 0.811. The area of the susceptibility classes were calculated for susceptibility map created using regression logistic. Results show that approximately 44 % of the study area is at high and very high susceptibility to landslides. The calculated area indicates that the region is highly susceptible to landslides, and paying attention to this phenomenon is very necessary.
کلیدواژهها [English]
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