Journal of Environmental Impact Assessment (환경영향평가)

Korean Society of Environmental Impact Assessment (한국환경영향평가학회)
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Parameter Optimization of QUAL2K Using Influence Coefficient Algorithm and Genetic Algorithm

영향계수법과 유전알고리즘을 이용한 QUAL2K 모형의 매개변수 최적화

  • Cho, Jae-Heon (Department of Health and Environmental Hygiene, Kwandong University) ;
  • Lee, Chang-Hun (Department of Health and Environmental Hygiene, Kwandong University)
  • 조재현 (관동대학교 보건환경위생학과) ;
  • 이창훈 (관동대학교 보건환경위생학과)
  • Received : 2009.02.24
  • Accepted : 2009.04.16
  • Published : 2009.04.30
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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

References

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