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The Public Hydraulic Evaluation of Flood Waves and Math Routing Operational in Wide Rivers (Case Study:Mond River)


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1 Department of Civil Engineering, Arsanjan branch, Islamic Azad University, Arsanjan, Iran, Islamic Republic of
     

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In this study choosing an interval of Mond and Aghaj River, some hydro logic and hydraulic flood routing methods Such as Muskingum, Modified Att-Kin, Kinematic Wave, Diffusion Wave and Dynamic Wave Model are investigated. Also, complete studies were done on flood plain and flood flow through Mikel 1 and Excel program. Then validation of each model's result was performed using statistical measures. Finally the best method for flood routing was proposed. Results show that Muskmgumcorrelation coefficient method best accommodates to observational flood results and provides the least error in predicting flood hydrograph. Results also showed a significant superiority for dynamic wave model of mike 11 Software. According to the project's results, in the case of hydraulic information determinacy, dynamic wave model of mike 11 Software; and if using hydraulic models (according to historical record of previous floods), Muskingum model on correlation coefficient pattern in simulating flood waves and flood routing in natural streams are recommended.

Keywords

Flood Numerical Routing, Hydrograph Analysis, Numerical Method, Flood Simulation.
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  • The Public Hydraulic Evaluation of Flood Waves and Math Routing Operational in Wide Rivers (Case Study:Mond River)

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Authors

Mohammad Miraki
Department of Civil Engineering, Arsanjan branch, Islamic Azad University, Arsanjan, Iran, Islamic Republic of
Younes Daneshbod
Department of Civil Engineering, Arsanjan branch, Islamic Azad University, Arsanjan, Iran, Islamic Republic of

Abstract


In this study choosing an interval of Mond and Aghaj River, some hydro logic and hydraulic flood routing methods Such as Muskingum, Modified Att-Kin, Kinematic Wave, Diffusion Wave and Dynamic Wave Model are investigated. Also, complete studies were done on flood plain and flood flow through Mikel 1 and Excel program. Then validation of each model's result was performed using statistical measures. Finally the best method for flood routing was proposed. Results show that Muskmgumcorrelation coefficient method best accommodates to observational flood results and provides the least error in predicting flood hydrograph. Results also showed a significant superiority for dynamic wave model of mike 11 Software. According to the project's results, in the case of hydraulic information determinacy, dynamic wave model of mike 11 Software; and if using hydraulic models (according to historical record of previous floods), Muskingum model on correlation coefficient pattern in simulating flood waves and flood routing in natural streams are recommended.

Keywords


Flood Numerical Routing, Hydrograph Analysis, Numerical Method, Flood Simulation.

References