Parameter estimation of Muskingum model using grey wolf optimizer algorithm

Flood routing plays a crucial role in prevention of major economic and human losses, which, in this study, has been conducted via both three- and four-constant parameter non-linear Muskingum models for four hydrographs, along with the Grey Wolf Optimizer (GWO) algorithm. Three benchmark examples and...

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Detalles Bibliográficos
Autores principales: Akbari, Reyhaneh, Hessami-Kermani, Masoud-Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720891/
https://www.ncbi.nlm.nih.gov/pubmed/35004221
http://dx.doi.org/10.1016/j.mex.2021.101589

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720891/
https://www.ncbi.nlm.nih.gov/pubmed/35004221
http://dx.doi.org/10.1016/j.mex.2021.101589

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