the identification of natural hazard prone areas for future planning requires an efficient decision support tool to provide the appropriate weights for the various topographical, geological, and seismological factors responsible for the expected hazards. in the present study, an analytical hierarchy process (ahp) with six earthquake hazard parameters (ehps) was used as a decision support system...

Landslides are among the most damaging natural hazards in mountainous regions. In this study, landslide hazard zonation was conducted in the Baba Heydar Watershed using logistic statistical regression to determine landslide hazard areas. First, a landslide inventory map was prepared using aerial photograph interpretation and field surveys. Next, ten landslide conditioning factors including alti...

the efficiency of three statistical models, ahp surface-weighted density bivariate (semi-quantitative models), stepwise multivariate regression and logistic multivariate regression models were compared in chehel-chai watershed in golestan province, iran. in current study the hazard map was prepared according to the top model of landslide hazard map. chehel-chai watershed is located as one of go...

the main purpose of this study is landslide hazard assessment the ziarat watershed (golestan province) using information value and lnrf models within geographic information. at first stage, a landslide inventory map was prepared in the study area using earlier reports and aerial photographs, and a total of 50 landslides was mapped and out of which 35 (70%) were randomly selected for building la...