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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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  • [I] Akan, A.O. (2006). Open channel Hydraulics. Chapter 8: Introduction to Unsteady Open-Channel Flow. Elsevier, 364p.
  • Aldama, A. A. (1990). Least-square parameter estimation for Muskingum flood routing. Journalof'Hydraulic Engineering, ASCE, 116(4), 580-586.
  • Bebran, S., & Nazli, H. (2008). Water crisis in the world and Iran. Center for Strategic Research ofthe Expediency Council.
  • Chow, V T. (2012). Open-Channel Hydraulics. McGraw-Hill Book Company: New York.
  • Dawdy, D.R., Goldman, D.; Merkel, W. H.; Unkrich, C.L., Woolhiser, D.A., Goodrich, D.C., Hromadka, TV, & De Vries, J. J. (1989). Discussion and closure on: kinematic wave routing and computational error. Journal of Hydraulic Engineering, 115(2), 278-289.
  • Geem, Z. W. (2006). Parameter estimation for the nonlinear Muskingum model using the BFGS technique. Journal of Irrigation and Drainage Engineering, 132(5), 414-41%.
  • Gill, M. A. (1978). Flood routing by Muskingum method. Journal of Hydraulic, 36(34), 353-363.
  • Karamoz, M. (2007). Advanced hydrology. Amirkabir University of Technology Tehran,480P,2005.
  • Mahdavi, M. (2007). Applied hydrology (Volume II). Tehran University Press, Tehran, Iran, 264 p.
  • Kim, J. H., Geem, Z. W, & Kim, E. S. (2001). Parameter estimation ofthe nonlinear Muskingum model using harmony search. American Water Resources Association, 37(5), 1131-1138.
  • [II] McCarthy (1936). Method of flood-routing, report on survey for flood control, Connecticut river valley. Vel. Ser. J,AppendixU.S. Ar.corps of Engrs.
  • McCuen, R.H. (2011). Hydrologic analysis and design. Prentic-Hall, Englewood Cliffs, New Jersey, 8-14PP
  • MIKE 11 a modeling system for Rivers and Channels, User's Manual, 11 4.10. 2011.
  • Mirzazadeh, P., & Akbari, G. (2013). A case study of flood dynamic wave simulation in natural waterways using numerical solution of unsteady flows. CMCE Journal, 3(2), 66-76.
  • Mirzazadeh, P., Akbari, G., & Ghahremani, A. (2014). Optimal method on hydrologic flow routing operations. 8th National Congress on Civil Engineering. Babol, Iran.
  • Mirzazadeh, P., & Gholamhossein, A. (2012). Optimization ofMaskingum model hydrological parameters. 9th International River Engineering Conference. Ahvaz, Shahid Chamran University.
  • Papamichail, D., & Georgiou, P. (1994). Parameter estimation of linear and nonlinear muskingum models for river flood routing. Transactions on Ecology and the Environment, 7,1743-3541.
  • Sedigh Kia, M., & Mirzai, S. (2011). Optimization of muskingum factors using the object functions defined by HEC-HMS software in the maron river. Second National Conference on National Iranian Applied Water Resources Research. Zanjan, Zanjan Regional Water Company.
  • Stocker,J. J.(1957). Water waves. Inter science publishers. N.Y, 1871.
  • Tabatabaei, M., & Shahraki, A. (2013). Case study: Finding the most optimal hydrological method in flood reconstruction. First National Conference on Water Crisis, Isfahan, Islamic Azad University, Khorasgan Branch.
  • Tung,Y. K. (1985). River floodrouting by nonlinear Muskingummethod../o«raa/ of Hydraulic Engineering, 777(12), 14471460.
  • Yoon, J. W., & Padmanabhan, G. (1993). Parameter-estimation of linear and nonlinear Muskingum models. Journal of Water Resources Planning and Management, 779(5), 600-610.

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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