Volume 8, Issue 16 (2-2018)                   jwmr 2018, 8(16): 34-43 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Akbarifard S, Qaderi K, Alinnejad M. Parameter Estimation of the Nonlinear Muskingum Flood-Routing Model Using Water Cycle Algorithm. jwmr. 2018; 8 (16) :34-43
URL: http://jwmr.sanru.ac.ir/article-1-901-en.html
Abstract:   (865 Views)
Flood routing in river is one of important issues in water engineering projects. Hydraulic routing is common in especially in river that has branches and river that have not basin information. So as to need obtain cross section and slops in all interval of river that Muskingum helps by saving time and cost. In this paper, a Water Cycle Algorithm (WCA) is proposed for the parameter estimation of the nonlinear Muskingum model. The results of the developed model were compared with those of the other meta­heuristic algorithms including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Harmony Search Algorithm (HS) and Imperialist Competitive Algorithm (ICA). In the proposed technique, an indirect penalty function approach is imposed on the model to prevent negativity of outflows and storages. The proposed algorithm finds the global or near-global minimum regardless of the initial parameter values with fast convergence. The proposed algorithm found the best solution among 5 different methods. The results demonstrate that the proposed algorithm can be applied confidently to estimate optimal parameter values of the nonlinear Muskingum model. Moreover, this algorithm may be applicable to any continuous engineering optimization problems.
Full-Text [PDF 1347 kb]   (610 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/01/29 | Revised: 2018/02/25 | Accepted: 2018/01/29 | Published: 2018/01/29

Add your comments about this article : Your username or Email:

© 2019 All Rights Reserved | Journal of Watershed Management Research

Designed & Developed by : Yektaweb