Water Quality Assessment of 14 Reservoirs in Geum River Basin Using Multivariate Statistical Analysis
Objectives : 14 reservoirs in the Geum river watershed were clustered and classified using the results of factor analysis based on water quality characteristics. Also, correlation analysis between pollutants (land system, living system, livestock system) and water quality characteristics was perfo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Environmental Engineers
2021-07-01
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| Series: | 대한환경공학회지 |
| Subjects: | |
| Online Access: | https://www.jksee.or.kr/journal/view.php?number=4319 |
| Summary: | Objectives : 14 reservoirs in the Geum river watershed were clustered and classified using the results of factor
analysis based on water quality characteristics. Also, correlation analysis between pollutants (land system, living
system, livestock system) and water quality characteristics was performed to elucidate the effect of pollutants on
water quality.
Methods : Cluster analysis (CA), principal component analysis (PCA), and factor analysis (FA) using water quality
data of 14 reservoirs in the Geum river watershed during the last 5 years (2014-2018) were performed to derive
the principal components. Then, correlation analysis between principal components and pollutants was performed to
verify the feasibility of clustering.
Results and Discussion : From the factor analysis (FA) using water quality data of 14 reservoirs in the Geum
river watershed, three to six principal components (PCs) were extracted and extracted PCs explained approximately
74% of overall variations in water quality. As a result of clustering reservoirs based on the extracted PCs, the
reservoirs clustered by nitrogen and seasonal PCs were Ganwol, Geumgang, and Sapgyo, the reservoirs clustered
by organic pollution and internal production PCs were Tapjung, Dae, Seokmun, and Yongdam, the reservoirs
clustered by organic pollution, internal production, and phosphorus are Bunam, Yedang, and Cheongcheon, and
finally the remaining Boryeong, Daecheong, Chopyeong, and Songak were clustered as other factors. From the
correlation analysis between principal components and pollutants, significant correlation between the land, living,
and livestock pollutants and water quality characteristics was found in Ganwol, Topjeong, Daeho, Bunam, and
Daecheong. These reservoirs are considered to require continuous and careful management of specific (land, living,
livestock) pollutants. In terms of water quality and pollutant management, the Ganwol, Sapgyo, and Seokmunho are
considered to implement intensive measures to improve water quality and to reduce the input of various pollutants.
Conclusions : Although the water quality of the reservoir is a result of complex interactions such as influent water
factors, morphological and hydrological factors, internal production factors, and various pollutants, optimized
watershed and water quality management measures can be implemented through multivariate statistical analysis. |
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| ISSN: | 1225-5025 2383-7810 |