한국수자원학회

문헌정보

논문집

한국수자원학회논문집 Vol.52 No.10전체 목록 바로가기 Vol 목록 바로가기

저장대모형의 매개변수 산정을 위한 최적화 기법의 적합성 분석 / Analysis of the applicability of parameter estimation methods for a transient storage model PDF

저자명: 노효섭;백동해;서일원

발행사: 한국수자원학회

수록사항: 한국수자원학회논문집, Vol.52 No.10(2019-10)

페이지: 시작페이지(681)

ISSN: 1226-6280

요약

A Transient Storage Model (TSM) is one of the most widely used model accounting for complex solute transport in natural river to understanding natural river properties with four TSM key parameters. The TSM parameters are estimated via inverse modeling. Parameter estimation of the TSM is carried out by solving optimization problem about finding best fitted simulation curve with measured curve obtained from tracer test. Several studies have reported uncertainty in parameter estimation from non-convexity of the problem. In this study, we assessed best combination of optimization method and objective function for TSM parameter estimation using Cheong-mi Creek tracer test data. In order to find best optimization setting guaranteeing convergence and speed, Evolutionary Algorithm (EA) based global optimization methods, such as CCE of SCE-UA and MCCE of SP-UCI, and error based objective functions were compared, using Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL). Overall results showed that multi-EA SC-SAHEL with Percent Mean Squared Error (PMSE) objective function is the best optimization setting which is fastest and stable method in convergence.

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