Since the global climate changes exist, today, floods can be accounted among the most important hydraulic and hydrological problems of world. Extreme urbanization, concrete structures, and asphalt roads are the most important factors that increase the impermeable zones and the flood flow. Estimating the flow in advance will minimize the potential loss of both life and properties. Realistically determining the flow coefficient, which is the most effective factor on flood flow, the existing problems will be eliminated to a considerable extent. There are many techniques, which can be found in the existing literature, offered for modeling flow coefficient. However, the most of them base on the black-box type methodologies and they cannot be generalized. Therefore, in this study, a new approach namely Fuzzy SMRGT Method, which considers the physic of the event, has been preferred. The data, which contains the daily measurements of both temperature and wind speed, were obtained from the Regional Directorate of Meteorology. The model results were compared with the real data. For comparison, basic statistical magnitudes such as maximum, minimum, mean, standard deviation, coefficient of variation and coefficient of skewness and mean absolute relative error, scattering diagram, and time series graphs were used. As a result of the comparison, it can be said that the results of the SMRGT are quite realistic and can be used confidently in determining the meteorological flow coefficient.

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