Generalized Storage Equations for Flood Routing with Nonlinear Muskingum Models

Omid Bozorg-Haddad (), Mehri Abdi-Dehkordi (), Farzan Hamedi (), Maryam Pazoki () and Hugo A. Loáiciga ()
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Omid Bozorg-Haddad: University of Tehran
Mehri Abdi-Dehkordi: University of Tehran
Farzan Hamedi: University of Tehran
Maryam Pazoki: University of Tehran
Hugo A. Loáiciga: University of California

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2019, vol. 33, issue 8, No 5, 2677-2691

Abstract: Abstract The nonlinear Muskingum model is a leading method for hydrologic routing. The efficiency of the nonlinear Muskingum model for routing of hydrograph outflow has been improved in recent years. This study introduces four Muskingum models with improved, generalized, nonlinear storage equations. The proposed models provide more degrees of freedom in fitting observed hydraulic data than other corresponding nonlinear Muskingum models and they have better predictive skill for river flow than other nonlinear Muskingum models. The accuracy of the proposed Muskingum models is herein demonstrated with examples.

Keywords: Hydrologic routing method; Nonlinear Muskingum; Outflow hydrograph; Storage equation (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:33:y:2019:i:8:d:10.1007_s11269-019-02247-2

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DOI: 10.1007/s11269-019-02247-2

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