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http://dx.doi.org/10.4491/KSEE.2017.39.11.641

Assessment of Spatiotemporal Water Quality Variation Using Multivariate Statistical Techniques: A Case Study of the Imjin River Basin, Korea  

Cho, Yong-Chul (Han-River Environment Research Center, National Institute of Environmental Research)
Lee, Su-Woong (Han-River Environment Research Center, National Institute of Environmental Research)
Ryu, In-Gu (Han-River Environment Research Center, National Institute of Environmental Research)
Yu, Soon-Ju (Han-River Environment Research Center, National Institute of Environmental Research)
Publication Information
Journal of Korean Society of Environmental Engineers / v.39, no.11, 2017 , pp. 641-649 More about this Journal
Abstract
In the study, the water quality of the Imjin River basin with pollutants of changing characteristics it was determined through statistical analysis, correlation analysis, principle component and factor analysis, and cluster analysis. Among all analyzed data points, the average water quality concentration at the Sincheon 3 site shows high levels of BOD 13.4 mg/L, COD 19.9 mg/L, T-N 11.145 mg/L, T-P 0.336 mg/L, TOC 14.2 mg/L, indicating that Sincheon basin requires intersive water quality management out of the entire drainage basin. The correlational analysis of comprehensive water quality data shows statistically significant correlation between COD, TOC, BOD, T-N water quality factors, as well as finding of high correlation between organic and nutrients. The principal component analysis show that 2 main components being extracted at 81.221% from the measuring station's entire data, while seasonal data show 3 main components being extracted at 96.241%. Factor analysis of the entire data set and the seasonal data identify BOD, COD, T-N, T-P, TOC as the common factors influencing water quality. The spatial and temporal cluster analysis showed 4 groups and 3 groups, respectively, according to seasonal characteristics and land use. By analysing the water quality factors for the Imjin River basins over an 8 year period, with consideration to the spatial and temporal characteristics, this study will become the fundamental analytic data that will help understand the future changes of water quality in the Imjin River basin.
Keywords
Imjin River; Statistics Analysis; Correlation Analysis; Factor Analysis; Cluster Analysis;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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