Geography And Urben Planning
ebrahim sami; Maryam Ebadi
Abstract
The purpose of this study is to zone flood risk in the city of Maragheh due to floods caused by the inundating of the Sufi Chai River. The criteria being used included the distance from the river, distance from drainage lines, population density, residential density, slope, DEM, aspect, and land use. ...
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The purpose of this study is to zone flood risk in the city of Maragheh due to floods caused by the inundating of the Sufi Chai River. The criteria being used included the distance from the river, distance from drainage lines, population density, residential density, slope, DEM, aspect, and land use. Based on the experts' opinion and knowledge of the area, the layers were weighted by Network Analysis Process (ANP) method using Super Decisions software. According to the coefficients obtained in the ANP model, the waterway factor with a coefficient of 0.75 score had the highest value and the land use factor with a coefficient of 0.09 had the lowest value for creating floods, and then all layers were fuzzy in GIS and with weight hanging the layers and combining them by gamma method, the final flood zoning plan was prepared. Based on the results, areas with very high flood risk were in the city center along the Sufi Chai River with an area of 3.126 ha. They are located in areas 1, 2 and 3 and districts with low flood risk in the outskirts of the city having an area of 13.595 ha in areas 5 and 7, respectively. The results from integration of ANP and Fuzzy models, as approved in previuos studies, indicate their high efficiency in identifying the areas with high flood risk. Therefore, it is essential to consider the zoning layers in planinig proceses, particularly rsik assessment.
