영향계수법과 유전알고리즘을 이용한 QUAL2K 모형의 매개변수 최적화 (Parameter Optimization of QUAL2K Using Influence Coefficient Algorithm and Genetic Algorithm)

조재현 (CHO JAE HEON); 이창훈 (Chang-Hun Lee)

Parameter Optimization of QUAL2K Using Influence Coefficient Algorithm and Genetic Algorithm

Journal of Environmental Impact Assessment
Abbr : J EIA
2009, 18(2), pp.99-109
Publisher : Korean Society Of Environmental Impact Assessment
Research Area : Engineering > Environmental Engineering

CHO JAE HEON ¹, Chang-Hun Lee ²

¹관동대학교
²관동대학교 보건환경위생학과

Accredited

ABSTRACT

In general, manual calibration is commonly used for the stream water quality modelling. Because the manual calibration depends upon the subjectivity and experience of the researcher, it has a problem with the objectivity of the modelling. Thus, the interest about the automatic calibration by the optimization technique is deeply increased. In this study, Influence coefficient algorithm and Genetic algorithm are introduced to develop an automatic calibration model for the QUAL2K that are the latest version of the QUAL2E. Genetic algorithm, used in this study, is very simple and easy to understand but also applicable to any complicated mathematical problem, and it can find out the global optimum solution effectively. The developed automatic calibration model is applied to the Gangneung Namdaecheon. The calibration results about the 11 water quality variables show the good correspondence between the calculated and observed water quality values.

KEYWORDS

automatic calibration, Influence coefficient algorithm, Genetic algorithm, QUAL2K, Gangneung Namdaecheon

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* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

KJCKorea
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Journal of Environmental Impact Assessment 2023 KCI Impact Factor : 0.51

Parameter Optimization of QUAL2K Using Influence Coefficient Algorithm and Genetic Algorithm

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Citation status

* References for papers published after 2023 are currently being built.

Journal of Environmental Impact Assessment 2023 KCI Impact Factor : 0.51

Parameter Optimization of QUAL2K Using Influence Coefficient Algorithm and Genetic Algorithm

ABSTRACT

KEYWORDS

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