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Statistical Analysis of Water Flow and Water Quality Data in the Imjin River Basin for Total Pollutant Load Management

임진강 유역 오염물질 총량관리를 위한 유량-수질 자료의 통계분석

  • Cho, Yong-Chul (Han-River Environment Research Center, National Institute of Environmental Research) ;
  • Choi, Hyeon-Mi (Han-River Environment Research Center, National Institute of Environmental Research) ;
  • Lee, Young Joon (Han-River Environment Research Center, National Institute of Environmental Research) ;
  • Ryu, Ingu (Han-River Environment Research Center, National Institute of Environmental Research) ;
  • Lee, Myung-Gu (Han-River Environment Research Center, National Institute of Environmental Research) ;
  • Gu, Donghoi (Han-River Environment Research Center, National Institute of Environmental Research) ;
  • Choi, Kyungwan (Han-River Environment Research Center, National Institute of Environmental Research) ;
  • Yu, Soonju (Han-River Environment Research Center, National Institute of Environmental Research)
  • 조용철 (국립환경과학원 한강물환경연구소) ;
  • 최현미 (국립환경과학원 한강물환경연구소) ;
  • 이영준 (국립환경과학원 한강물환경연구소) ;
  • 류인구 (국립환경과학원 한강물환경연구소) ;
  • 이명구 (국립환경과학원 한강물환경연구소) ;
  • 구동회 (국립환경과학원 한강물환경연구소) ;
  • 최경완 (국립환경과학원 한강물환경연구소) ;
  • 유순주 (국립환경과학원 한강물환경연구소)
  • Received : 2018.06.04
  • Accepted : 2018.07.13
  • Published : 2018.08.31

Abstract

The purpose of this study was assessment the quality of water by using the statistical analysis technique of the Water flow and water quality from January 2012 to December 2016 at the unit basin for total pollutant load management system (TPLMS) in the Imjin River. Water flow and water quality were monitored at an average of 8 day intervals, 11 parameters were used for correlation analysis, principal component analysis (PCA), factor analysis (FA), and cluster analysis (CA). The Hierarchical CA was classified into three according to the change of space, such as natural rivers, urban rivers, point with large influence of point pollution source, it was found that the type of contamination source the similarity of water quality affected the classification of cluster. Using one-way analysis of variance (ANOVA) and post-hoc Analysis, there were statistically significant differences between mean values among the clusters. Correlation analysis showed the correlation coefficient between $COD_{Mn}$ and TOC was 0.951 (p<0.01) and the correlation was statistically significantly higher. According to the result PCA and FA, 3 principal components can explaining 72% of the total variations in water quality characteristics and main factor was EC, $BOD_5$, $COD_{Mn}$, TN, TP and TOC indirect indicators of organic matter and nutrients were influenced. This study presented the regression equation obtained by applying the factor scores to the multiple linear regression analysis and concluded that the management Indirect indicators of organic matter and nutrients is important for water quality management in the Imjin River basin.

본 연구의 목적은 임진강 수질오염총량관리제도를 위한 단위유역의 2012년 1월부터 2016년 12월까지 유량과 수질자료를 통계분석기법에 이용하여 수질특성을 평가하는 것이다. 유량과 수질은 평균 8일 간격으로 측정하였으며 11개 항목을 상관분석, 주성분 분석, 요인분석, 군집분석에 사용하였다. 군집분석의 결과 공간변화에 따라 자연형 하천, 도시형 하천, 점오염원 영향이 큰 지점 등으로 3개의 그룹으로 분류되었으며, 오염원의 종류와 수질 유사성이 군집 분류에 영향을 미치는 것으로 나타났다. 일원 분산분석과 사후검정을 이용하여 군집간의 평균사이에는 통계적으로 유의한 수준의 차이가 있는 것으로 나타났다. 상관분석에서 $COD_{Mn}$와 TOC의 상관계수가 0.951(p<0.01)로 상관성이 통계적으로 유의하게 높게 나타났다. 주성분 분석 결과 3개의 주성분으로 전체 수질특성의 72%를 설명할 수 있으며 요인분석에서 주요 요인은 EC, $BOD_5$, $COD_{Mn}$, TN, TP, TOC 항목으로 나타나 유기물과 영양염류 간접지표가 수질에 영향을 미치는 것으로 나타났다. 본 연구에서 요인점수를 다중 선형회귀분석에 적용하여 회귀 방정식을 제시하고 임진강 유역 수질관리에 유기물 및 영양염류 간접지표 항목의 관리가 중요하다고 판단된다.

Keywords

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