University of Tehran Press Journal of Ecohydrology 2423-6098 5 3 2018 09 23 Regional Flood Hazard assessment at the Sub-basin Scale Using Remote Sensing & Fuzzy logic Regional Flood Hazard assessment at the Sub-basin Scale Using Remote Sensing & Fuzzy logic 829 841 67508 10.22059/ije.2018.245661.775 FA SeidMohamad Mousavi University of Tabriz 0009-0007-0672-5570 Shahram Roostaei Head of the Faculty of Planning and Environmental Sciences, Tabriz University, Tabriz, Iran. Hashem Rostamzadeh Department of Climatology, Faculty of Planning and Environmental Sciences, Tabriz University, Tabriz, Iran Journal Article 2017 10 23 Flood is among the most important environmental hazards, broadly threatening human societies and their assets. In this research, by integrating the Rational model to estimate peak runoff into Marand basin flood hazard on a sub-basin scale, assessments are accomplished using remote sensing and GIS. After determining the runoff coefficient land cover/use layers were taken from satellite images of the Sentinel 2A, and the slope map was derived from the ASTER DEM 30m and soil hydrological groups, using the specified amount of rainfall hamely intensity in mode of 1-hour peak runoff was calculated. Using linear membership function in fuzzy logic model, integrating prepared this peak runoff and elevation lines between zero and one were fuzzy and then by applying multiple weight tangles to each of these two layers we collected their results, and the flood hazards distribution map was prepared. With the implementation of prepared risk map in fifth grade the classes include very low-risk, low risk, medium, high and very high risk with the results of GIS partnership or PGIS and entering this information into the confusion matrix. The accuracy of prepared maps was determined to be about 87.83%. Flood is among the most important environmental hazards, broadly threatening human societies and their assets. In this research, by integrating the Rational model to estimate peak runoff into Marand basin flood hazard on a sub-basin scale, assessments are accomplished using remote sensing and GIS. After determining the runoff coefficient land cover/use layers were taken from satellite images of the Sentinel 2A, and the slope map was derived from the ASTER DEM 30m and soil hydrological groups, using the specified amount of rainfall hamely intensity in mode of 1-hour peak runoff was calculated. Using linear membership function in fuzzy logic model, integrating prepared this peak runoff and elevation lines between zero and one were fuzzy and then by applying multiple weight tangles to each of these two layers we collected their results, and the flood hazards distribution map was prepared. With the implementation of prepared risk map in fifth grade the classes include very low-risk, low risk, medium, high and very high risk with the results of GIS partnership or PGIS and entering this information into the confusion matrix. The accuracy of prepared maps was determined to be about 87.83%. https://ije.ut.ac.ir/article_67508_f730b308554b7170192825a9e45a7727.pdf