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Floodplain soils contamination assessment using the sequential extraction method of heavy metals from past mining activities
Floodplains are among the most precious and threatened ecosystems in the world. The study deals with floodplain soil contamination caused by 8 heavy metals (HMs) (Cd, Co, Cr, Cu, Mo, Ni, Pb, Zn) originating and transported from old mine works along the Štiavnica River in Slovakia. We determined the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861111/ https://www.ncbi.nlm.nih.gov/pubmed/35190628 http://dx.doi.org/10.1038/s41598-022-06929-7 |
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author | Kanianska, Radoslava Varga, Jozef Benková, Nikola Kizeková, Miriam Jančová, Ľubica |
author_facet | Kanianska, Radoslava Varga, Jozef Benková, Nikola Kizeková, Miriam Jančová, Ľubica |
author_sort | Kanianska, Radoslava |
collection | PubMed |
description | Floodplains are among the most precious and threatened ecosystems in the world. The study deals with floodplain soil contamination caused by 8 heavy metals (HMs) (Cd, Co, Cr, Cu, Mo, Ni, Pb, Zn) originating and transported from old mine works along the Štiavnica River in Slovakia. We determined the total HMs content and the HM fractions using BCR sequential extraction method. We selected 12 alluvial sites (AS), two contaminated sites (CS), and one reference site (RS). The sampling points were located within the riparian zones (RZ), arable lands (AL), and grasslands (GL). We confirmed soil contamination by HMs and the related ecological risk by different factors. The contamination by HMs at many AS localities was similar or even higher than at CS localities. The highest contamination factor was calculated for Cu (39.8), followed by Pb (27.4), Zn (18.2), and Cd (7.2). The HMs partitioning in the different fractions at the CS and AS localities revealed that Cd, Zn, and Pb were mainly associated with the exchangeable and reducible fractions, while Cu was mainly associated with the oxidisable fraction. The soil properties were selectively correlated with the HM fractions. Based on the ANOVA results, the effect of different ecosystem types on HM fractions was revealed. |
format | Online Article Text |
id | pubmed-8861111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88611112022-02-23 Floodplain soils contamination assessment using the sequential extraction method of heavy metals from past mining activities Kanianska, Radoslava Varga, Jozef Benková, Nikola Kizeková, Miriam Jančová, Ľubica Sci Rep Article Floodplains are among the most precious and threatened ecosystems in the world. The study deals with floodplain soil contamination caused by 8 heavy metals (HMs) (Cd, Co, Cr, Cu, Mo, Ni, Pb, Zn) originating and transported from old mine works along the Štiavnica River in Slovakia. We determined the total HMs content and the HM fractions using BCR sequential extraction method. We selected 12 alluvial sites (AS), two contaminated sites (CS), and one reference site (RS). The sampling points were located within the riparian zones (RZ), arable lands (AL), and grasslands (GL). We confirmed soil contamination by HMs and the related ecological risk by different factors. The contamination by HMs at many AS localities was similar or even higher than at CS localities. The highest contamination factor was calculated for Cu (39.8), followed by Pb (27.4), Zn (18.2), and Cd (7.2). The HMs partitioning in the different fractions at the CS and AS localities revealed that Cd, Zn, and Pb were mainly associated with the exchangeable and reducible fractions, while Cu was mainly associated with the oxidisable fraction. The soil properties were selectively correlated with the HM fractions. Based on the ANOVA results, the effect of different ecosystem types on HM fractions was revealed. Nature Publishing Group UK 2022-02-21 /pmc/articles/PMC8861111/ /pubmed/35190628 http://dx.doi.org/10.1038/s41598-022-06929-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kanianska, Radoslava Varga, Jozef Benková, Nikola Kizeková, Miriam Jančová, Ľubica Floodplain soils contamination assessment using the sequential extraction method of heavy metals from past mining activities |
title | Floodplain soils contamination assessment using the sequential extraction method of heavy metals from past mining activities |
title_full | Floodplain soils contamination assessment using the sequential extraction method of heavy metals from past mining activities |
title_fullStr | Floodplain soils contamination assessment using the sequential extraction method of heavy metals from past mining activities |
title_full_unstemmed | Floodplain soils contamination assessment using the sequential extraction method of heavy metals from past mining activities |
title_short | Floodplain soils contamination assessment using the sequential extraction method of heavy metals from past mining activities |
title_sort | floodplain soils contamination assessment using the sequential extraction method of heavy metals from past mining activities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861111/ https://www.ncbi.nlm.nih.gov/pubmed/35190628 http://dx.doi.org/10.1038/s41598-022-06929-7 |
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