Evaluation of Correlation between Chlorophyll-a and Multiple Parameters by Multiple Linear Regression Analysis

다중회귀분석을 이용한 낙동강 하류의 Chlorophyll-a 농도와 복합 영향인자들의 상관관계 분석

  • Lim, Ji-Sung (Department of Civil and Environmental Engineering, Pusan National University) ;
  • Kim, Young-Woo (Department of Civil and Environmental Engineering, Pusan National University) ;
  • Lee, Jae-Ho (Department of Civil and Environmental Engineering, Pusan National University) ;
  • Park, Tae-Joo (Department of Civil and Environmental Engineering, Pusan National University) ;
  • Byun, Im-Gyu (Institute for Environmental Technology and Industry, Pusan National University)
  • 임지성 (부산대학교 사회환경시스템공학부) ;
  • 김영우 (부산대학교 사회환경시스템공학부) ;
  • 이재호 (부산대학교 사회환경시스템공학부) ;
  • 박태주 (부산대학교 사회환경시스템공학부) ;
  • 변임규 (부산대학교 환경기술.산업개발연구소)
  • Received : 2015.03.23
  • Accepted : 2015.05.11
  • Published : 2015.05.31


In this study, Chlorophyll-a (chl-a) prediction model and multiple parameters affecting algae occurrence in Mulgeum site were evaluated by statistical analysis using water quality, hydraulic and climate data at Mulgeum site (1998~2008). Before the analysis, control chart method and effect period of typhoon were adopted for improving reliability of the data. After data preprocessing step two methods were used in this study. In method 1, chl-a prediction model was developed using preprocessed data. Another model was developed by Method 2 using significant parameters affecting chl-a after data preprocessing step. As a result of correlation analysis, water temperature, pH, DO, BOD, COD, T-N, $NO_3-N$, $PO_4-P$, flow rate, flow velocity and water depth were revealed as significant multiple parameters affecting chl-a concentration. Chl-a prediction model from Method 1 and 2 showed high $R^2$ value with 0.799 and 0.790 respectively. Validation for each prediction model was conducted with the data from 2009 to 2010. Training period and validation period of Method 1 showed 20.912 and 24.423 respectively. And Method 2 showed 21.422 and 26.277 in each period. Especially BOD, DO and $PO_4-P$ played important role in both model. So it is considered that analysis of algae occurrence at Mulgeum site need to focus on BOD, DO and $PO_4-P$.


Supported by : 환경부, 한국연구재단


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