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Environmental Geology

, Volume 54, Issue 2, pp 275–282 | Cite as

Water pollution sources assessment by multivariate statistical methods in the Tahtali Basin, Turkey

Original Article

Abstract

In this study, multivariate statistical methods including factor, principal component and cluster analysis were applied to surface water quality data sets obtained from the Tahtali River Basin, Turkey. Factor and principal components analysis results revealed that surface water quality was mainly controlled by agricultural uses and domestic discharges. Cluster analysis generated two clusters. Based on the locations of the sites consisted by each cluster and variable concentrations at these stations, it was concluded that agricultural discharges strongly affected north and northeast part of the region. These methods are believed to assist water managers to understand complex nature of water quality issues and determine priorities to improve water quality.

Keywords

Cluster analysis Factor analysis Multivariate statistical methods Principal component analysis Tahtali River Basin Water quality 

Notes

Acknowledgments

The authors express their special thanks to members of the Izmir Water and Sewerage Authority (IZSU) for their assistance in providing necessary data for the study.

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Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  1. 1.Department of Environmental Engineering, Faculty of EngineeringDokuz Eylul UniversityIzmirTurkey
  2. 2.Department of Statistics, Faculty of ScienceEge UniversityIzmirTurkey

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