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    Discussion of “Improved Nonlinear Muskingum Model with Variable Exponent Parameter” by Said M. Easa 

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 010
    Author(s): Farzan Hamedi; Omid Bozorg Haddad; Hosein Orouji
    Publisher: American Society of Civil Engineers
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    Closure to “Application of a Hybrid Optimization Method in Muskingum Parameter Estimation” by Omid Bozorg Haddad, Farzan Hamedi, Elahe Fallah-Mehdipour, Hosein Orouji, and Miguel A. Mariño 

    Source: Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 009
    Author(s): Farzan Hamedi; Omid Bozorg-Haddad; Hugo A. Loáiciga
    Publisher: American Society of Civil Engineers
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    Parameter Estimation of Extended Nonlinear Muskingum Models with the Weed Optimization Algorithm 

    Source: Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 012
    Author(s): Farzan Hamedi; Omid Bozorg-Haddad; Maryam Pazoki; Hamid-Reza Asgari; Mehran Parsa; Hugo A. Loáiciga
    Publisher: American Society of Civil Engineers
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    Nonlinear Muskingum Model for Flood Routing in Irrigation Canals Using Storage Moving Average 

    Source: Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 005
    Author(s): Farzan Hamedi; Omid Bozorg-Haddad; Hossein Orouji; Elahe Fallah-Mehdipour; Hugo A. Loáiciga
    Publisher: American Society of Civil Engineers
    Abstract: The Muskingum routing method involves the calculation of the storage volume in river reaches. The accurate calculation of the storage volume is difficult to achieve with the nonlinear Muskingum model (NMM). This paper ...
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    Nonlinear Muskingum Model for Flood Routing in Irrigation Canals Using Storage Moving Average 

    Source: Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 005
    Author(s): Farzan Hamedi; Omid Bozorg-Haddad; Hossein Orouji; Elahe Fallah-Mehdipour; Hugo A. Loáiciga
    Publisher: American Society of Civil Engineers
    Abstract: The Muskingum routing method involves the calculation of the storage volume in river reaches. The accurate calculation of the storage volume is difficult to achieve with the nonlinear Muskingum model (NMM). This paper ...
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    Application of a Hybrid Optimization Method in Muskingum Parameter Estimation 

    Source: Journal of Irrigation and Drainage Engineering:;2015:;Volume ( 141 ):;issue: 012
    Author(s): Omid Bozorg Haddad; Farzan Hamedi; Elahe Fallah-Mehdipour; Hosein Orouji; Miguel A. Mariño
    Publisher: American Society of Civil Engineers
    Abstract: Two new mathematical forms of the nonlinear Muskingum model called NL4 and NL5, involving four and five parameters, respectively, can be used in river flood routing. The accuracy of the estimation of the Muskingum model ...
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