The efficiency assessment of information value and density area models in landslide hazard zonation (Case study: Shirin Dareh watershed, north Khorasan)

One of the first steps in natural resource management and development planning, is the recognition of susceptible area to mass movements and landslides events. These phenomena occur under influence of many natural and human factors that evaluation of their effects have significant role in forecasting of probability of mass movements. In this research, the statistical bi-variant information value and density area model used for landslide hazard zonation in Shirin Dareh watershed. To investigate the stability of slopes in this basin by merging the factors affecting landslide maps with the landslide distribution map, the effect of each of these factors such as slope, geology, landuse, distance from the fault, river and the road is measured in Arc GIS software. The sum of quality index (QS) used for assessment and classification of model outputs in approximation of landslide hazard. The results show that, the information value model has more efficiency than density area model for landslide hazard mapping in Shirin Dareh watershed.