| Issue |
E3S Web of Conferences
Volume 1, 2013
Proceedings of the 16th International Conference on Heavy Metals in the Environment
|
|
|---|---|---|
| Article Number | 33010 | |
| Number of page(s) | 4 | |
| Section | Heavy Metals in Sediments IV | |
| DOI | https://doi.org/10.1051/e3sconf/20130133010 | |
| Published online | 23 April 2013 | |
Assessment of heavy metals in sediments of the Sinos river basin, southern Brazil
1 Postgraduate Program in Remote Sensing – Federal University of Rio Grande do Sul (UFRGS), Brazil
2 State Foundation for Environmental Protection and Postgraduate Program in Remote Sensing - Federal University of Rio Grande do Sul (UFRGS), Brazil
3 State Foundation for Environmental Protection, Brazil
a ismaelquimrs@yahoo.com.br
b gerpro.pesquisa@fepam.rs.gov.br
c silvia.rolim@ufrgs.br
The present study aimed to evaluate the content of Cu, Cr, Ni, and Zn and their geochemical partitioning in sediments of the Sinos river basin in southern Brazil. This basin has a high population density and a great number of industries, especially metallurgy, electroplating works, steel mills, petrochemicals, and tanneries. The total metal concentrations were determined by X-ray fluorescence, and the concentrations in the sediment phases were determined by applying the BCR-701 sequential extraction method proposed by the Community Bureau of Reference of the European Community, using ICP/OES. Heavy metal contents were evaluated in the sediment fraction <63 μm. Results in the industrialized and densely populated region showed an increase in the total concentrations for Cu, Cr and Zn, and in the mobile fractions for the sequentially extracted metals Cu, Cr, Zn and Ni. Cr stood out particularly in the Portão stream, showing a total concentration of 1286 mg kg-1, due to the influence of tanneries in this region.
Key words: Heavy metals / Sediments / Sequential Extraction / BCR-701
© Owned by the authors, published by EDP Sciences, 2013
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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