Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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The Applicability for Estimating MFFn by SWMM in The Trunk Road

간선도로에서 MFFn 산정 시 SWMM의 적용성 평가

  • Kwon, Hun-Gak (Nakdong River Water Environment Research Center, National Institute of Environmental Research) ;
  • Lee, Jae-Woon (Nakdong River Water Environment Research Center, National Institute of Environmental Research) ;
  • Yi, Youn-Jeong (Nakdong River Water Environment Research Center, National Institute of Environmental Research) ;
  • Yoon, Young-Sam (National Institute of Environmental Research) ;
  • Lee, Chun-Sik (Department of Environmental Engineering, Kyeongnam National University of Science and Technology) ;
  • Lee, Jae-Kwan (Nakdong River Water Environment Research Center, National Institute of Environmental Research)
  • 권헌각 (국립환경과학원 낙동강물환경연구소) ;
  • 이재운 (국립환경과학원 낙동강물환경연구소) ;
  • 이윤정 (국립환경과학원 낙동강물환경연구소) ;
  • 윤영삼 (국립환경과학원) ;
  • 이춘식 (경남과학기술대학교) ;
  • 이재관 (국립환경과학원 낙동강물환경연구소)
  • Received : 2011.04.28
  • Accepted : 2011.07.12
  • Published : 2011.09.30
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Abstract

The first flush phenomenon and the Mass First Flush (MFFn) were analyzed for various rainy events in trunk road. Applicability for estimate MFFn using SWMM was evaluated by comparision with observed MFFn. First flush phenomenon was investigated by normalized cumulated (NCL) curve of every pollutant based on ten times of rainfall events monitoring data from 2008 to 2009. As a result, magnitude of first flush phenomenon varied with the pollutants and rainfall events. First flush phenomenon was detected highly in the trunk road. MFFn was estimated by varying n-value from 10 to 90% on the rainfall events. The n-value increases, MFFn is closed to '1'. As time passed, the rainfall runoff was getting similar to ratio of pollutants accumulation. The result of a measure of the strength of the linear relationship between observed data and expected data under model was good ($R^2$=0.956). As the final outcome, we have good reliability, estimation and application of MFFn using model seem statistically possible.

Keywords

References

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