Journal of Environmental Impact Assessment (환경영향평가)

Korean Society of Environmental Impact Assessment (한국환경영향평가학회)
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Parameter Optimization for Runoff Calibration of SWMM

SWMM의 유출량 보정을 위한 매개변수 최적화

  • Cho, Jae-Heon (Department of Environment and Disaster Prevention, Kwandong University) ;
  • Lee, Jong-Ho (Department of Urban Planning, Cheongju University)
  • 조재현 (관동대학교 환경방재학과) ;
  • 이종호 (청주대학교 도시계획학과)
  • Received : 2006.12.01
  • Accepted : 2006.12.14
  • Published : 2006.12.30
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Abstract

For the calibration of rainfall-runoff model, automatic calibration methods are used instead of manual calibration to obtain the reliable modeling results. When mathematical programming techniques such as linear programming and nonlinear programming are applied, there is a possibility to arrive at the local optimum. To solve this problem, genetic algorithm is introduced in this study. It 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 objective of this study is to develope a parameter optimization program that integrate a genetic algorithm and a rainfall-runoff model. The program can calibrate the various parameters related to the runoff process automatically. As a rainfall-runoff model, SWMM is applied. The automatic calibration program developed in this study is applied to the Jangcheon watershed flowing into the Youngrang Lake that is in the eutrophic state. Runoff surveys were carried out for two storm events on the Jangcheon watershed. The peak flow and runoff volume estimated by the calibrated model with the survey data shows good agreement with the observed values.

Keywords

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