Identification of Parameters Influencing the Accuracy of the Solution of the Nonlinear Muskingum Equation
Author:
Funder
Gdansk University of Technology
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-020-02599-0.pdf
Reference36 articles.
1. Barati R (2011) Parameter estimation of nonlinear Muskingum models using Nelder-Mead simplex algorithm. J Hydrol Eng 16(11):946–954. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000379
2. Bozorg-Haddad O, Abdi-Dehkordi M, Hamedi F, Pazoki M, Loáiciga HA (2019) Generalized storage equations for flood routing with nonlinear Muskingum models. Water Resour Manag 33(8):2677–2691. https://doi.org/10.1007/s11269-019-02247-2
3. Chu HJ, Chang LC (2009) Applying particle swarm optimization to parameter estimation of the nonlinear Muskingum model. J Hydrol Eng 14(9):1024–1027. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000070
4. Cunge JA (1969) On the subject of a flood propagation computation method (Muskingum method). J Hydraul Res 7(2):205–230
5. Cunge JA, Holly FM Jr, Verwey A (1980) Practical aspects of Computational River hydraulics. Pitman, London
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