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      Assessment of heavy metal pollutants accumulation in the Tisza river sediments

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      Journal of Environmental Management
      Elsevier BV

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          Abstract

          In this study we have worked on the evaluation of heavy metal contamination in the sediments taken from the Tisza River and its tributaries, and thereby used the sequential extraction method, geochemical normalization, the calculation of the enrichment factor (EF), and the methods of statistical analysis. The chemical fractionation of Ni, Cu, Zn, Cr, Pb, Fe, and Mn, carried out by using the modified Tessier method, points to different substrates and binding mechanisms of Cu, Zn and Pb in sediments of the tributaries and sediments of the Tisza River. The similarities in the distributions of Fe and Ni in all types of sediments are the result of geochemical similarity as well as of the fact that natural sources mainly affect the concentration levels of these elements. The calculated enrichment factors (EF, measured metal vs. background concentrations) indicated that metal contamination (Cu, Pb, Zn and Cr) was recorded in the sediments of the Tisza River, while no indications of pollution were detected in the tributaries of the Tisza River and the surrounding pools. The maximum values of the EF were close to 6 for Cu and Pb (moderately severe enrichment) and close to 4.5 for Zn (indicating moderate enrichment). It can be said that the Tisza River is slightly to moderately severely polluted with Cu, Zn, and Pb, and minorly polluted with Cr. It is concluded that sediments of the Tisza serve as a repository for heavy metal accumulation from adjacent urban and industrial areas.

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          Author and article information

          Journal
          Journal of Environmental Management
          Journal of Environmental Management
          Elsevier BV
          03014797
          August 2009
          August 2009
          : 90
          : 11
          : 3382-3390
          Article
          10.1016/j.jenvman.2009.05.013
          19515481
          3cd7e348-bf50-4af6-b807-b13214435084
          © 2009

          https://www.elsevier.com/tdm/userlicense/1.0/

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