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Assessment of variations in water quality using statistical techniques: a case study of Işıklı Lake, Çivril/Denizli, Turkey

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An Erratum to this article was published on 08 April 2017

Abstract

A study of the hydrochemical evaluation of waters in the Işıklı Lake and surrounding area was carried out with the objective of identifying the geochemical processes and their relation with water quality in the region. The multivariate statistical techniques were used in the hydrochemical evaluation of waters. Statistical analysis of water quality parameters was made to seeing the interrelationship between different variables in order to explain the water quality and pollution status of study area. For this purpose, water samples were taken from lake, river, stream, and springs which are represented by investigated area and water qualities were evaluated. Generally, Ca2+, Mg2+, and Cl, HCO3 ions are dominant within surface water and water sources. Arsenic concentration increase is determined in Işıklı spring and Kufi stream water samples. Also, aluminum concentration is high level in the Kufi stream water samples. This increase was related to igneous rocks as geogenic origin. Also, geogenic contamination was identified in R-mode factor and cluster analyses. There is high correlation between electrical conductivity and major ions of waters.

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Acknowledgements

This study has been achieved under the scope of The Scientific and Technological Research Council of Turkey (TÜBİTAK/2209-A), the project of University Students Research Projects Support Programme-2015.

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Correspondence to Fatma Aksever.

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The original version of this article was revised: the paper previously published with incorrect Fig. 5 caption. Given in this article is the correct caption

An erratum to this article is available at http://dx.doi.org/10.1007/s12517-017-2975-3.

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Aksever, F., Büyükşahin, S. Assessment of variations in water quality using statistical techniques: a case study of Işıklı Lake, Çivril/Denizli, Turkey. Arab J Geosci 10, 143 (2017). https://doi.org/10.1007/s12517-017-2877-4

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