Development of Urban Flood Hazard Map for Nour City Using Analytical Hierarchy Process and Fuzzy Logic

The maps of potential flooding areas can be the appropriate tool for urban planning in the future. In this research, potential flooding areas criteria viz. the urban land use, distance of river, elevation, slope and ground water level were considered. The weight of decision criteria were evaluated by paired comparison matrix. The final potential flooding map was divided to five different risk classes. About 15 percentage of the study area were belongs to very high and high risk classes. Including areas located in high risk near to the river, impermeable areas, low topography and slope less than two percent in these areas. Focus on areas with historical flood events showed that areas with slope less than two percent are more affect by flood. The results of the Analytical Hierarchy Process showed that ten percentage of the area with historical flood events is located in very high and high classes. The results show that percentage of the class area with high and very high risk according to historical flood events are 43, 34 and 26 percent for gaussian, triangular and generalizedbell-shaped membership functions, respectively. The result of Gaussian membership function is more similar to historical flood events reports.