Identification of areas susceptible to landslide occurrence is one of the basic measures taken to reduce the possible risk, and hazard management. In this paper, compared applicability weighted (AHP) bivariate statistical model and weighted linear combination (WLC), two SEMI-QUANTITATIVE hazard analysis methods, and stepwise and logistic multivariate regression, two QUANTITATIVE hazard analysis methods, were compared in order to determine suitable model for landslide hazard management in the watershed. First, landslide was mapped through field observation, using local data and watershed management agency information and GPS devices. The nine factors including elevation, slope, aspect, lithology, distance from fault, stream and road, land use, and precipitation amount were chosen as effective factors on landsliding through studying conditions of Chehel-chay watershed, and relative hazard map was prepared via 4 above models. Quality sum (Qs) index was used for evaluation of models accuracy. Results show that weighted (AHP) bivariate statistical model is suitable for chehel_chay watershed with Qs equal to 3.625. and weighted linear combination (WLC) with Qs equal to 2.2019, logistic multivariate regression with Qs equal to 1.703 and stepwise multivariate regression with Qs equal to 1.627, were the next in order of priority.