Statistical characterisation of water quality in Great Usuthu River (Swaziland)

Tomasz Kowalkowski School of Chemistry, Department of Environmental Analytical Chemistry, University of Witwatersrand WITS 2050, South Africa; Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University, Gagarina 7, Toruń, 87-100, Poland

Ewa M. Cukrowska School of Chemistry, Department of Environmental Analytical Chemistry, University of Witwatersrand WITS 2050, South Africa

Bianka Hlobsile Mkhatshwa The Department of Chemistry, University of Swaziland, P/B 4, Kwaluseni, Swaziland

Bogusław Buszewski Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University, Gagarina 7, Toruń, 87-100, Poland

Abstract

This study was undertaken to investigate the heavy metals pollution in the Great Usuthu River (Swaziland). The influence of major pollution sites were assessed using chemometric methods, namely cluster and discrimination analyses. Levels of lead, chromium, vanadium, cadmium and cobalt were determined in both water and sediment samples. In addition chemical oxygen demand was also determined for the water samples. The statistical methods indicated the major parameters discriminating the sampling sites characteristics and showed the seasonality in the dataset.

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Acknowledgments

The authors would like to thank National Research Foundation South Africa for the financial support.

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Statistical characterisation of water quality in Great Usuthu River (Swaziland)

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Statistical characterisation of water quality in Great Usuthu River (Swaziland)

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