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Assessment through Statistical Methods of Water Quality Parameters(WQPs) in the Han River in Korea
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 Title & Authors
Assessment through Statistical Methods of Water Quality Parameters(WQPs) in the Han River in Korea
Kim, Jae Hyoun;
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Objective: This study was conducted to develop a chemical oxygen demand (COD) regression model using water quality monitoring data (January, 2014) obtained from the Han River auto-monitoring stations. Methods: Surface water quality data at 198 sampling stations along the six major areas were assembled and analyzed to determine the spatial distribution and clustering of monitoring stations based on 18 WQPs and regression modeling using selected parameters. Statistical techniques, including combined genetic algorithm-multiple linear regression (GA-MLR), cluster analysis (CA) and principal component analysis (PCA) were used to build a COD model using water quality data. Results: A best GA-MLR model facilitated computing the WQPs for a 5-descriptor COD model with satisfactory statistical results ($r^2
CA;GA-MLR;Han River;PCA;Water quality parameter (WQP);
 Cited by
한강수질 평가를 위한 COD (화학적 산소 요구량) 모델 평가,;;

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