Evaluation of a Multi-Isotope Approach as a Complement to Concentration Data within Environmental Forensics
Heavy metal contamination was identified in groundwater monitoring wells surrounding a waste deposit facility at the Rönnskär Cu–Pb–Zn smelter in Skellefteå, Northern Sweden, as well as in brackish water and sediments from the nearby harbor. Following an investigative study of the surrounding area,...
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ftdoajarticles:oai:doaj.org/article:dee58316e86e4da781d91a99e29fc531 2023-05-15T17:44:40+02:00 Evaluation of a Multi-Isotope Approach as a Complement to Concentration Data within Environmental Forensics Simon Pontér Stacy Sutliff-Johansson Emma Engström Anders Widerlund Anna Mäki Katerina Rodushkina Cora Paulukat Ilia Rodushkin 2020-12-01T00:00:00Z https://doi.org/10.3390/min11010037 https://doaj.org/article/dee58316e86e4da781d91a99e29fc531 EN eng MDPI AG https://www.mdpi.com/2075-163X/11/1/37 https://doaj.org/toc/2075-163X doi:10.3390/min11010037 2075-163X https://doaj.org/article/dee58316e86e4da781d91a99e29fc531 Minerals, Vol 11, Iss 37, p 37 (2020) isotope ratios smelter natural variability fractionation groundwater contamination heavy metals Mineralogy QE351-399.2 article 2020 ftdoajarticles https://doi.org/10.3390/min11010037 2022-12-31T00:36:47Z Heavy metal contamination was identified in groundwater monitoring wells surrounding a waste deposit facility at the Rönnskär Cu–Pb–Zn smelter in Skellefteå, Northern Sweden, as well as in brackish water and sediments from the nearby harbor. Following an investigative study of the surrounding area, brackish water from the Baltic Sea and sediments from a nearby harbor were also determined to be contaminated. This study investigated the ranges of isotopic compositions of four elements (Cd, Cu, Pb, and Zn) in smelter materials (ores, products, and waste) and polluted groundwater sediments of the affected area. The study’s objective was to evaluate the variability of the polluting source and identify possible isotope fractionation. This study further assesses the viability of using isotopic information to identify the source of the pollutant. These data were used in combination with multi-element screening analysis and multivariate statistical techniques. Expanding the number of elements utilized in isotope tracing empowers our abilities to decipher the source(s) and the extent of environmental exposure from contamination events related to mining and refining operations. Article in Journal/Newspaper Northern Sweden Directory of Open Access Journals: DOAJ Articles Minerals 11 1 37 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
isotope ratios smelter natural variability fractionation groundwater contamination heavy metals Mineralogy QE351-399.2 |
spellingShingle |
isotope ratios smelter natural variability fractionation groundwater contamination heavy metals Mineralogy QE351-399.2 Simon Pontér Stacy Sutliff-Johansson Emma Engström Anders Widerlund Anna Mäki Katerina Rodushkina Cora Paulukat Ilia Rodushkin Evaluation of a Multi-Isotope Approach as a Complement to Concentration Data within Environmental Forensics |
topic_facet |
isotope ratios smelter natural variability fractionation groundwater contamination heavy metals Mineralogy QE351-399.2 |
description |
Heavy metal contamination was identified in groundwater monitoring wells surrounding a waste deposit facility at the Rönnskär Cu–Pb–Zn smelter in Skellefteå, Northern Sweden, as well as in brackish water and sediments from the nearby harbor. Following an investigative study of the surrounding area, brackish water from the Baltic Sea and sediments from a nearby harbor were also determined to be contaminated. This study investigated the ranges of isotopic compositions of four elements (Cd, Cu, Pb, and Zn) in smelter materials (ores, products, and waste) and polluted groundwater sediments of the affected area. The study’s objective was to evaluate the variability of the polluting source and identify possible isotope fractionation. This study further assesses the viability of using isotopic information to identify the source of the pollutant. These data were used in combination with multi-element screening analysis and multivariate statistical techniques. Expanding the number of elements utilized in isotope tracing empowers our abilities to decipher the source(s) and the extent of environmental exposure from contamination events related to mining and refining operations. |
format |
Article in Journal/Newspaper |
author |
Simon Pontér Stacy Sutliff-Johansson Emma Engström Anders Widerlund Anna Mäki Katerina Rodushkina Cora Paulukat Ilia Rodushkin |
author_facet |
Simon Pontér Stacy Sutliff-Johansson Emma Engström Anders Widerlund Anna Mäki Katerina Rodushkina Cora Paulukat Ilia Rodushkin |
author_sort |
Simon Pontér |
title |
Evaluation of a Multi-Isotope Approach as a Complement to Concentration Data within Environmental Forensics |
title_short |
Evaluation of a Multi-Isotope Approach as a Complement to Concentration Data within Environmental Forensics |
title_full |
Evaluation of a Multi-Isotope Approach as a Complement to Concentration Data within Environmental Forensics |
title_fullStr |
Evaluation of a Multi-Isotope Approach as a Complement to Concentration Data within Environmental Forensics |
title_full_unstemmed |
Evaluation of a Multi-Isotope Approach as a Complement to Concentration Data within Environmental Forensics |
title_sort |
evaluation of a multi-isotope approach as a complement to concentration data within environmental forensics |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/min11010037 https://doaj.org/article/dee58316e86e4da781d91a99e29fc531 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_source |
Minerals, Vol 11, Iss 37, p 37 (2020) |
op_relation |
https://www.mdpi.com/2075-163X/11/1/37 https://doaj.org/toc/2075-163X doi:10.3390/min11010037 2075-163X https://doaj.org/article/dee58316e86e4da781d91a99e29fc531 |
op_doi |
https://doi.org/10.3390/min11010037 |
container_title |
Minerals |
container_volume |
11 |
container_issue |
1 |
container_start_page |
37 |
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1766146943445106688 |