Investigation the Effect of Using Variable Values for the Parameters of the Linear Muskingum Method Using the Particle Swarm Algorithm (PSO)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/article/10.1007/s11269-018-2082-6/fulltext.html
Reference22 articles.
1. Al-Humoud JM, Esen II (2006) Approximate methods for the estimation of Muskingum flood routing parameters. Water Resour Manag 20(6):979–990
2. Ayvaz MT, Gurarslan G (2017) A new partitioning approach for nonlinear Muskingum flood routing models with lateral flow contribution. J Hydrol 553:142–159
3. Barati R (2011) Parameter estimation of nonlinear Muskingum models using Nelder-mead simplex algorithm. J Hydrol Eng 16(11):946–954
4. Choudhury P, Shrivastava RK, Narulkar SM (2002) Flood routing in river networks using equivalent Muskingum inflow. J Hydrol Eng 7(6):413–419
5. Chow, Vente (1959) open channel hydraulics, Newyork;Macgraw-Hill book company
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