Muskingum Models’ Development and their Parameter Estimation: A State-of-the-art Review-Reference-Cited by-同舟云学术

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Muskingum Models’ Development and their Parameter Estimation: A State-of-the-art Review

Published:2023-03-25 Issue:8 Volume:37 Page:3129-3150
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Wang Wen-chuan^ORCID,Tian Wei-can,Xu Dong-mei,Chau Kwok-wing,Ma Qiang,Liu Chang-jun

Funder

Special project for collaborative innovation of science and technology

Henan province university scientific and technological innovation team

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11269-023-03493-1.pdf

Reference79 articles.

1. Akbari R, Hessami-Kermani M-R (2021) A new method for dividing flood period in the variable-parameter Muskingum models. Hydrol Res 53:241–257. https://doi.org/10.2166/nh.2021.192

2. Akbari R, Hessami-Kermani M-R, Shojaee S (2020) Flood routing: improving outflow using a new non-linear Muskingum model with four variable parameters coupled with PSO-GA algorithm. Water Resour Manage 34:3291–3316. https://doi.org/10.1007/s11269-020-02613-5

3. Ayvaz MT, Kayhan AH, Ceylan H, Gurarslan G (2009) Hybridizing the harmony search algorithm with a spreadsheet ‘Solver’ for solving continuous engineering optimization problems. Eng Optim 41:1119–1144. https://doi.org/10.1080/03052150902926835

4. Bajracharya K, Barry DA (1997) Accuracy criteria for linearised diffusion wave flood routing. J Hydrol 195:200–217. https://doi.org/10.1016/S0022-1694(96)03235-0

5. Barati R (2011) Parameter estimation of nonlinear Muskingum models using Nelder-mead simplex algorithm. J Hydrol Eng 16:946–954. https://doi.org/10.1061/(asce)he.1943-5584.0000379

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