Browse > Article
http://dx.doi.org/10.3741/JKWRA.2020.53.8.597

Application of exponential bandwidth harmony search with centralized global search for advanced nonlinear Muskingum model incorporating lateral flow  

Kim, Young Nam (Department of Civil Engineering, Chungbuk national University)
Lee, Eui Hoon (Department of Civil Engineering, Chungbuk national University)
Publication Information
Journal of Korea Water Resources Association / v.53, no.8, 2020 , pp. 597-604 More about this Journal
Abstract
Muskingum, a hydrologic channel flood routing, is a method of predicting outflow by using the relationship between inflow, outflow, and storage. As many studies for Muskingum model were suggested, parameters were gradually increased and the calculation process was complicated by many parameters. To solve this problem, an optimization algorithm was applied to the parameter estimation of Muskingum model. This study applied the Advanced Nonlinear Muskingum Model considering continuous flow (ANLMM-L) to Wilson flood data and Sutculer flood data and compared results of the Linear Nonsingum Model incorporating Lateral flow (LMM-L), and Kinematic Wave Model (KWM). The Sum of Squares (SSQ) was used as an index for comparing simulated and observed results. Exponential Bandwidth Harmony Search with Centralized Global Search (EBHS-CGS) was applied to the parameter estimation of ANLMM-L. In Wilson flood data, ANLMM-L showed more accurate results than LMM-L. In the Sutculer flood data, ANLMM-L showed better results than KWM, but SSQ was larger than in the case of Wilson flood data because the flow rate of Sutculer flood data is large. EBHS-CGS could be appplied to be appplicable to various water resources engineering problems as well as Muskingum flood routing in this study.
Keywords
Flood routing; Muskingum model; ANLMM-L; Optimization algorithm; Harmony search; EBHS-CGS;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Geem, Z.W., Kim, J.H., and Loganathan, G.V. (2001). "A new heuristic optimization algorithm: harmony search." Simulation, Simulation Councils INC, Vol. 76, No. 2, pp. 60-68.   DOI
2 Gill, M.A. (1978). "Flood routing by the Muskingum model." Journal of Hydrology, Elsevier, Vol. 36, No. 3-4, pp. 353-363.   DOI
3 Karahan, H., and Gurarslan, G. (2013). "Modelling flood routing problems using kinematic wave approach: Sutculer example." Proceedings of the 7th National Hydrology Congress, Isparta, Turkey, pp. 26-27.
4 Karahan, H., Gurarslan, G., and Geem, Z.W. (2015). "A new nonlinear Muskingum flood routing model incorporating lateral flow." Engineering Optimization, Taylor and Francis, Vol. 47, No. 6, pp. 737-749.   DOI
5 Kim, Y.N., and Lee, E.H. (2020). "Development of the meta-heuristic optimization algorithm: Exponential bandwidth harmony search with centralized global search." Journal of the Korea Academia-Industrial cooperation Society, JKAIS, Vol. 21, No. 2, pp. 8-18.   DOI
6 Lee, E.H., Lee, H.M., and Kim, J.H. (2018). "Development and application of advanced Muskingum flood routing model considering continuous flow." Water, MDPI, Vol. 10, No. 6, p. 760.   DOI
7 Mahdavi, M., Fesanghart, M., and Damangir, E. (2007). "An improved harmony search algorithm for solving optimization problems." Applied mathematics and computation, Elsevier Sicence INC, Vol. 188, No. 2, pp. 1567-1579.   DOI
8 McCarthy, G.T. (1938). "The unit hydrograph and flood routing." Proceedings Conference of North Atlantic Division, U.S. Army Corps of Engineers, New London, CT.
9 O'Donnell, T. (1985). "A direct three-parameter Muskingum procedure incorporating lateral inflow." Hydrological Sciences Journal, Taylor and Francis, Vol. 30, No. 3, pp. 479-496.   DOI
10 Omran, M.G., and Mahdavi, M. (2008). "Global-best harmony search." Applied mathematics and computation, Elsevier Sicence INC, Vol. 198, No. 2, pp. 643-656.   DOI
11 Wang, C.M., and Huang, Y.F. (2010). "Self-adaptive harmony search algorithm for optimization." Expert Systems with Applications, Pergamon-Elsevier Science LTD, Vol. 37, No. 4, pp. 2826-2837.   DOI
12 Wilson, E.M. (1974). Engineering Hydrology. Macmillan, London.