Urban Inundation Hazard Potential using Evidential Belief Function model (EBF) (Case study: Emam Ali town, Mashhad city)

    Inundation in urban areas due to dens storm has created many problems for all cities thorough the world. Urban flood hazard zoning may provide useful information for dealing with contingency and alleviating risk and loss of life and property. Therefore, to management of urban area, flood relief measures and prioritized to address flooding problems should be identified areas that are more affected. Vulnerability of urban areas often includes multiple factors that are associated with flooding. One of the methods that are sufficiently accurate and use available data can identify flood hazard zoning, is using Evidential Belief Function (EBF) that in this study was used to determine the potential of inundation risk in urban area. Four variables include: distance to the main channel, slopes, drainage density and elevation was used. The potential of inundation risk in urban area final map of in the study area was prepared by method from the Evidential Belief Function of the four classes include: potential of inundation risk low, medium, high and very high classified. The prediction accuracy of the potential of inundation risk map obtained in Evidential Belief Function model in this region using Receiver Operating Characteristic (ROC) was evaluated and area rate under the curve 81.27 were obtained. The results indicate that the EBF model for zonation of potential of inundation risk in the study area is acceptable accuracy.