Discussion of “Applying Particle Swarm Optimization to Parameter Estimation of the Nonlinear Muskingum Model” by H.-J. Chu and L.-C. Chang
Author:
Affiliation:
1. Prof., Dept. of Civil Engineering, National Inst, of Technology, Durgapur 713209, West Bengal, India. E-mail: adas_wrpm@yahoo.com
Publisher
American Society of Civil Engineers (ASCE)
Subject
General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0000224
Reference7 articles.
1. Parameter Estimation for the Nonlinear Muskingum Model Using the BFGS Technique
2. Flood routing by the Muskingum method
3. PARAMETER ESTIMATION OF THE NONLINEAR MUSKINGUM MODEL USING HARMONY SEARCH
4. Parameter Estimation of Nonlinear Muskingum Models Using Genetic Algorithm
5. River Flood Routing by Nonlinear Muskingum Method
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1. Identification of Parameters Influencing the Accuracy of the Solution of the Nonlinear Muskingum Equation;Water Resources Management;2020-07-06
2. Assessment of river flow with significant lateral inflow through reverse routing modeling;Hydrological Processes;2017-02-15
3. Closure to “Parameter Estimation of Nonlinear Muskingum Models Using Nelder-Mead Simplex Algorithm” by Reza Barati;Journal of Hydrologic Engineering;2013-03
4. Closure to “Applying Particle Swarm Optimization to Parameter Estimation of the Nonlinear Muskingum Model” by H.-J. Chu and L.-C. Chang;Journal of Hydrologic Engineering;2010-11
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