Assessment of water quality of Yaglidere stream (Turkey) using multivariate statistical techniquess

• Autorzy: Uncumusaoglu A.A. , Akkan T.
• Języki publikacji: EN

Abstrakty

EN

Yağlıdere Stream is one of the major waterways flowing into the eastern Black Sea. In this study, multivariate statistical techniques, hierarchical cluster analysis (HCA), and principal component analysis (PCA) were applied to data on Yağlıdere water quality. Thus, we aimed to determine main pollution factors and time risky polluted areas. During the study, water samples were taken by monitoring 23 physico-chemical parameters at five different sites every month between June 2013 and May 2014. In addition, Pearson correlation was used to determine the relationships of all physico-chemical parameters. According to the results of HCA, five sampling areas were grouped into two clusters. From the PCA results, it may be estimated that river pollution is mainly from agricultural runoff and soil weathering, soil erosion, hydroelectric power plant installation activities, domestic disposal, and leaching from solid waste disposal sites. Consequently, the Yağlıdere is of good quality according to the physico-chemical data by national and international permissible limits, but it is under pressure. These temporal and spatial scale effects indicate that water-monitoring schemes need to be scaled-sensitive to water management for coming years.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2017
• Tom: 26
• Numer: 4
• Opis fizyczny: p.1715-1723,fig.,ref.

Twórcy

autor

Uncumusaoglu A.A.

• Department of Environmental Engineering, Faculty of Engineering, Giresun University 28200, Giresun, Turkey

autor

Akkan T.

• Department of Biology, Faculty of Arts and Sciences, Giresun University, 28200, Giresun, Turkey

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Identyfikatory

DOI

10.15244/pjoes/68952