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http://dx.doi.org/10.12989/mwt.2022.13.5.245

Assessment and spatial variation of water quality using statistical techniques: Case study of Nakdong river, Korea  

Kim, Shin (Nakdong River Environment Research Center, National Institute of Environmental Research)
Publication Information
Membrane and Water Treatment / v.13, no.5, 2022 , pp. 245-257 More about this Journal
Abstract
Water quality characteristics and their spatial variations in the Nakdong River were statistically analyzed by multivariate techniques including correlation analysis, CA, and FA/PCA based on water quality parameters for 17 sites over 2017-2019, yielding PI values for primary factors. Site 10 indicated the highest parameter concentrations, and results of pearson's correlation analysis suggest that non-biodegradable organic matter had been distributed on the site. Five clusters were identified in order of descending pollution levels: I (Ib > Ia) > II (IIa > IIb) > III. Spatial variations started from sub-cluster Ib in which Daegu city and Geumho-river are joined. T-P, PO4-P, SS, COD, and TOC corresponded to VF 1 and 2, which were found to be principal components with strong influence on water quality. Sub-cluster Ib was strongly influenced by NO3-N and T-N compared to other clusters. According to the PIs, water quality pollution deteriorated due to non-biodegradable organic matter, nitrogen- and phosphorus-based nutrient salts in the middle and lower reaches, illustrating worsening water pollution due to inflows of anthropogenic sources on the Geumho-river, i.e., sewage and wastewater, discharged from Site 10, at which there is a concentration of urban, agricultural, and industrial areas.
Keywords
factor analysis/principal component analysis; correlation analysis; cluster analysis; Nakdong river; pollution index; water quality;
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