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Open Chemistry

formerly Central European Journal of Chemistry

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IMPACT FACTOR 2016 (Open Chemistry): 1.027
IMPACT FACTOR 2016 (Central European Journal of Chemistry): 1.460

CiteScore 2016: 0.61

SCImago Journal Rank (SJR) 2016: 0.288
Source Normalized Impact per Paper (SNIP) 2016: 0.735

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ISSN
2391-5420
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Volume 11, Issue 12 (Dec 2013)

Issues

Assessment of elemental contamination in the bottom sediments from a dam reservoir using a sequential extraction technique and chemometric analysis

Marzena Dabioch / Andrzej Kita / Piotr Zerzucha / Katarzyna Pytlakowska
Published Online: 2013-09-26 | DOI: https://doi.org/10.2478/s11532-013-0334-0

Abstract

The concentration of elements in sediments is an important aspect of the quality of water ecosystems. The element concentrations in bottom sediments from Goczalkowice Reservoir, Poland, were investigated to determine the levels, accumulation and distribution of elements; to understand the contamination and potential toxicity of elements; and to trace the possible source of pollution. Sediments were collected from 8 sampling points. The functional speciation, mobility and bioavailability of elements were evaluated by means of modified Tessier sequential extraction. The element contents were measured by optical emission spectrometry with inductively coupled plasma. The experimental results were analyzed using chemometric methods such as principal component analysis and cluster analysis to elucidate the metal distributions, correlations and associations. The highest concentrations of most elements were found at the center of the reservoir. The distribution of metals in the individual fractions was varied. To assess the extent of anthropogenic impact indices, contamination factor, degree of contamination, metal pollution index and risk assessment code were applied. The calculated factors showed the highest contamination factor and the ability of chromium to be released from sediments. The degree of contamination showed that the area is characterized by a very high contamination. Strontium and manganese showed high potential ecological risk for sediments.

Keywords: Heavy metals; Sediments; Modified Tessier sequential extraction; Principal component analysis; Cluster analysis

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About the article

Published Online: 2013-09-26

Published in Print: 2013-12-01


Citation Information: Open Chemistry, ISSN (Online) 2391-5420, DOI: https://doi.org/10.2478/s11532-013-0334-0.

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© 2013 Versita Warsaw. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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