연구홍보포털

논문 초록 (Abstract)

Water quality analysis for Geum river basin including eight major lakes (e.g., Kanwol lake, Daecheong lake, Seokho lake, Songak lake, Yedang lake, Cheongcheon lake, Chopyung lake, and Geumkang lake) was performed. Then, comprehensive multivariate statistical techniques (i.e., correlation analysis, principal component analysis/factor analysis, and multiple linear regression model) for Kanwol lake as a representative of agricultural reservoir, for Daecheong lake as a representative of drinking water reservoir, and for Geumkang lake as a representative of estuary reservoir were performed. According to the Spearman correlation results, TP values were positively associated with both agriculture and urban lands, and inversely associated with forest land due to the surface runoff of TP from the agriculture practices and impermeable surface of urban land. Based on the Pearson correlation analysis of various lakes, eutrophication from excessive algal growth was a complex function of various water quality parameters. Also, factor rotation lumping of huge and complex water quality parameters into simpler factor structures (i.e., varifactors) was feasible to facilitate the interpretation of complex water quality matrices. Finally, the multiple linear regression models explain approximately up to 58% of the Chl-a variations using different water quality variables, indicating that correcting spatial factors would be required to understand each spatial patterns of lakes with different functionalities.