Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Development and Evaluation of Regression Model for TOC Contentation Estimation in Gam Stream Watershed

감천 유역의 TOC 농도 추정을 위한 회귀 모형 개발 및 평가

  • Jung, Kang-Young (Nakdong River Environment Research Center, National Institute of Environmental Research, NIER) ;
  • Ahn, Jung-Min (Nakdong River Environment Research Center, National Institute of Environmental Research, NIER) ;
  • Lee, Kyung-Lak (Nakdong River Environment Research Center, National Institute of Environmental Research, NIER) ;
  • Kim, Shin (Nakdong River Environment Research Center, National Institute of Environmental Research, NIER) ;
  • Yu, Jae-Jeong (Nakdong River Environment Research Center, National Institute of Environmental Research, NIER) ;
  • Cheon, Se-Uk (Nakdong River Environment Research Center, National Institute of Environmental Research, NIER) ;
  • Lee, In Jung (Nakdong River Environment Research Center, National Institute of Environmental Research, NIER)
  • 정강영 (국립환경과학원 낙동강물환경연구소) ;
  • 안정민 (국립환경과학원 낙동강물환경연구소) ;
  • 이경락 (국립환경과학원 낙동강물환경연구소) ;
  • 김신 (국립환경과학원 낙동강물환경연구소) ;
  • 유재정 (국립환경과학원 낙동강물환경연구소) ;
  • 천세억 (국립환경과학원 낙동강물환경연구소) ;
  • 이인정 (국립환경과학원 낙동강물환경연구소)
  • Received : 2015.01.27
  • Accepted : 2015.05.28
  • Published : 2015.06.30
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Abstract

In this study, it is an object to develop a regression model for the estimation of TOC (total organic carbon) concentration using investigated data for three years from 2010 to 2012 in the Gam Stream unit watershed, and applied in 2009 to verify the applicability of the regression model. TOC and $COD_{Mn}$ (chemical oxygen demand) were appeared to be derived the highest correlation. TOC was significantly correlated with 5 variables including BOD (biological oxygen demand), discharge, SS (suspended solids), Chl-a (chlorophyll a) and TP (total phosphorus) of p<0.01. As a result of PCA (principal component analysis) and FA (factor analysis), COD, TOC, SS, discharge, BOD and TP have been classified as a first factor. TOCe concentration was estimated using the model developed as an independent variable $BOD_5$ and $COD_{Mn}$. R squared value between TOC and measurement TOC is 0.745 and 0.822, respectively. The independent variable were added step by step while removing lower importance variable. Based on the developed optimal model, R squared value between measurement value and estimation value for TOC was 0.852. It was found that multiple independent variables might be a better the estimation of TOC concentration using the regression model equation(in a given sites).

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References

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