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Evaluation of Water Quality Characteristics and Grade Classification of Yeongsan River Tributaries  

Jung, Soojung (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Kim, Kapsoon (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Seo, Dongju (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Kim, Junghyun (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Lim, Byungjin (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Publication Information
Journal of Korean Society on Water Environment / v.29, no.4, 2013 , pp. 504-513 More about this Journal
Abstract
Water quality trends for major tributaries (66 sites) in the Yeongsan River basin of Korea were examined for 12 parameters based on water quality data collected every month over a period of 12 months. The complex data matrix was treated with multivariate analysis such as PCA, FA and CA. PCA/FA identified four factors, which are responsible for the structure explaining 78.2% of the total variance. The first factor accounting 27.3% of the total variance was correlated with BOD, TN, TP, and TOC, and weighting values were allowed to these parameters for grade classification. CA rendered a dendrogram, where monitoring sites were grouped into 5 clusters. Cluster 2 corresponds to high pollution from domestic wastewater, wastewater treatment and run-off from livestock farms. For grade classification of tributaries, scores to 10 indexes were calculated considering the weighting values to 3 parameters as BOD, TN and TP which were categorized as the first factor after FA. The highest-polluted group included 10 tributaries such as Gwangjucheon, Jangsucheon, Daejeoncheon, Gamjungcheon, Yeongsancheon. The results indicate that grade classification method suggested in this study is useful in reliable classification of tributaries in the study area.
Keywords
Cluster analysis (CA); Factor analysis (FA); Grade classification; Principle component analysis (PCA); Water quality; Yeongsan river tributaries;
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Times Cited By KSCI : 7  (Citation Analysis)
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