Issues in optimal parameter estimation for the nonlinear Muskingum flood routing model
- Authors
- Geem, Zong Woo
- Issue Date
- 4-Mar-2014
- Publisher
- TAYLOR & FRANCIS LTD
- Keywords
- parameter estimation; nonlinear Muskingum model; flood routing; optimization
- Citation
- ENGINEERING OPTIMIZATION, v.46, no.3, pp.328 - 339
- Journal Title
- ENGINEERING OPTIMIZATION
- Volume
- 46
- Number
- 3
- Start Page
- 328
- End Page
- 339
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/12767
- DOI
- 10.1080/0305215X.2013.768242
- ISSN
- 0305-215X
- Abstract
- This study answers two questions raised in the parameter estimation optimization for the nonlinear Muskingum flood routing model. The first question is whether a new global optimum was still found after the existing global optimum had already been found. In order to fairly verify this question, a standard routing procedure for the nonlinear Muskingum model, which has not been clearly described previously, is proposed. Because the routing procedure was coded in a spreadsheet, any researcher can easily test it after downloading it. The second question is the reason why various approaches, such as Lagrange multiplier, Broyden-Fletcher-Goldfarb-Shanno (BFGS), genetic algorithm, harmony search and particle swarm optimization, have tackled only Wilson's data set as the parameter estimation optimization for the nonlinear Muskingum model, because Wilson's data have a unique structure which is differentiated from other data sets. This study also provides various data sets to compare.
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