Application of new multi-criteria decision making methods for the estimation of flooding potential with emphasis on geomorphic factors (Case Study: Ajorlu Basin)

Flooding of major natural disasters in the world. With increasing intensity and frequency of flood events, global concerns about increased mortality and economic losses resulting from increased. This study aimed to determine areas of potential flooding, river basin Ajurloo chay using a new approach to multi-criteria decision systems and fuzzy model is zoning. In the field of natural and man-eight parameters including rainfall, land use, the morphological characteristics such as steep slopes, altitude, vegetation index, and distance from major rivers, drainage density and lithology is used to run the model. After producing layers of the field visit and satellite images were used in order to obtain the required layers. Then, gathered through questionnaires and expert opinion using the AHP, the weight assigned to each criterion and sub is found, then the overlapping layers in GIS and flood risk maps were prepared using fuzzy operators. According to the map of the area of the silkhisi, regionalization is a very high risk in the basin have been located upstream, this high slope often 40 percent levels, low vegetation density, range of diverging with convex profiles they established. A flood risk map were in the regionalization of the area, with a very high risk in the basin are located downstream. These areas are often low-slope areas converge with concave profiles, levels, areas and rivers make up the margin.