Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Development and Evaluation of Simple Regression Model and Multiple Regression Model for TOC Contentation Estimation in Stream Flow

하천수내 TOC 농도 추정을 위한 단순회귀모형과 다중회귀모형의 개발과 평가

  • Jung, Jaewoon (Department of Rural & Bio-systems Engineering, Chonnam National University, Yeongsan River Environment Research Center) ;
  • Cho, Sohyun (Yeongsan River Environment Research Center) ;
  • Choi, Jinhee (Yeongsan River Environment Research Center) ;
  • Kim, Kapsoon (Yeongsan River Environment Research Center) ;
  • Jung, Soojung (Yeongsan River Environment Research Center) ;
  • Lim, Byungjin (Yeongsan River Environment Research Center)
  • 정재운 (전남대학교 지역바이오시스템공학과, 국립환경과학원 영산강물환경연구소) ;
  • 조소현 (국립환경과학원 영산강물환경연구소) ;
  • 최진희 (국립환경과학원 영산강물환경연구소) ;
  • 김갑순 (국립환경과학원 영산강물환경연구소) ;
  • 정수정 (국립환경과학원 영산강물환경연구소) ;
  • 임병진 (국립환경과학원 영산강물환경연구소)
  • Published : 2013.09.30
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Abstract

The objective of this study is to develop and evaluate simple and multiple regression models for Total Organic Carbon (TOC) concentration estimation in stream flow. For development (using water quality data in 2012) and evaluation (using water quality data in 2011) of regression models, we used water quality data from downstream of Yeongsan river basin during 2011 and 2012, and correlation analysis between TOC and water quality parameters was conducted. The concentrations of TOC were positively correlated with Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), TN (Total Nitrogen), Water Temperature (WT) and Electric Conductivity (EC). From these results, simple and multiple regression models for TOC estimation were developed as follows : $TOC=0.5809{\times}BOD+3.1557$, $TOC=0.4365{\times}COD+1.3731$. As a result of the application evaluation of the developed regression models, the multiple regression model was found to estimate TOC better than simple regression models.

Keywords

References

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