Abstract
Flood Estimation in the watershed area is an important step in environmental planning.Finding a particular model that can correctly predict floods at large and sensitive basins like Karun the largest river in Iran is critical. Due to being prone to flooding identifying areas prone to flooding and flood production levels according to physical characteristics of the catchment is essential. In this research, hydrologic modeling that was actually performed on the Karun Basin, flood hydrograph tried that through both lumped and distributed mathematical models to analyze how close they are to reality from Karun to Shalou bridge basin. Formation of precipitation and surface flow after rainfall and formation of hydrograph has been studied using both SCS lumped model and Mod Clark (modified Clark) distributed model and it is identified the distributed model results are closer to the recorded hydrograph of the basin.
Flood Estimation in the watershed area is an important step in environmental planning.Finding a particular model that can correctly predict floods at large and sensitive basins like Karun the largest river in Iran is critical. Due to being prone to flooding identifying areas prone to flooding and flood production levels according to physical characteristics of the catchment is essential. In this research, hydrologic modeling that was actually performed on the Karun Basin, flood hydrograph tried that through both lumped and distributed mathematical models to analyze how close they are to reality from Karun to Shalou bridge basin. Formation of precipitation and surface flow after rainfall and formation of hydrograph has been studied using both SCS lumped model and Mod Clark (modified Clark) distributed model and it is identified the distributed model results are closer to the recorded hydrograph of the basin.
Keywords: lumped and distributed methods, Mod Clark, SCS
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