مقایسه روش های رگرسیون لجستیک، نسبت فراوانی و تحلیل سلسله مراتبی در تهیه ی نقشه ی حساسیت ریزش‌سنگ (مطالعه موردی: استان کردستان، گردنه صلوات آباد)

Rock falls are natural process of activities geomorphic on steep slopes in mountainous terrains. At this research, rock fall susceptibility mapping was generated by logistic regression (LR), frequency ratio (FR) and analytical hierarchy process (AHP) at a long 11 km of the Salavat Abad road in the eastern of Sanandaj, Kurdistan, Iran. Dependent variables is occurrence and non-occurrence of rock falls and independent variables are including; slope degree, slope aspect, slope curvature, elevation of sea, lithology, distance from road, distance from fault, land use. The maps which were generated with the methods, compared and verified with rock-falls situation using the success rate curve (SRC). Results showed that the logistic regression, analytical hierarchy process and frequency ratio methods had an accuracy of 85.09, 83.2 and 76.76 percent of the area under the curve (AUC), respectively. Therefore, logistic regression is more proper than the other methods for determining regions prone to the rock fall in the case study.