Analyses of colloidal, truly dissolved, and DGT-labile metal species and phosphorus in mining area surrounded by tailing dams using self-organising maps

Detalhes bibliográficos
Autor(a) principal: Gontijo, Erik Sartori Jeunon [UNESP]
Data de Publicação: 2022
Outros Autores: Monteiro, Adnívia Santos Costa, Tonello, Paulo Sérgio [UNESP], Roeser, Hubert Mathias Peter, Friese, Kurt, Rosa, André Henrique [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.chemosphere.2022.135003
http://hdl.handle.net/11449/240098
Resumo: The knowledge of size-distribution and lability of metals and nutrients in freshwater systems is important for estimation of the ecological effects of mining. However, it is still limited in several mining areas such as the Quadrilátero Ferrífero (Brazil) which was severely polluted by the collapse of the Fundão tailings dam in November 2015. In this study, results of an investigation from 2014 using a neural network named self-organising map (SO-Map) into the conditions of selected trace metals that are of particular importance to mining areas (Cr, Cu, Co, Mn, Ni, Pb, Zn) are presented. Additionally, P was considered by its high importance as a nutrient and sites later affected by the dam burst were also included by chance. Water samples were collected at six sites in dry and rainy seasons and filtered and ultrafiltered for determination of total dissolved (<0.45 μm) and truly dissolved (<1 kDa) fractions. Diffusive gradients in thin films (DGT) devices were deployed in situ for determination of the DGT-labile fraction. All data were analysed using SO-Map and Spearman's rank correlation. Phosphorus in the Carmo River occurred mainly in the truly dissolved and DGT-labile fractions. The higher amounts of this element in the river water (up to 263 μg L−1 of total P) might be related to untreated sewage discharge. Moreover, the concentrations of other trace metals (Mn, Cu, Co, Ni, Zn) were high, even under the “natural” conditions (before the dam failure) due to natural and anthropogenic factors such as local lithology and mining.
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spelling Analyses of colloidal, truly dissolved, and DGT-labile metal species and phosphorus in mining area surrounded by tailing dams using self-organising mapsDiffusive gradients in thin filmsKohonen neural networkMining impactsSize fractionationUltrafiltrationThe knowledge of size-distribution and lability of metals and nutrients in freshwater systems is important for estimation of the ecological effects of mining. However, it is still limited in several mining areas such as the Quadrilátero Ferrífero (Brazil) which was severely polluted by the collapse of the Fundão tailings dam in November 2015. In this study, results of an investigation from 2014 using a neural network named self-organising map (SO-Map) into the conditions of selected trace metals that are of particular importance to mining areas (Cr, Cu, Co, Mn, Ni, Pb, Zn) are presented. Additionally, P was considered by its high importance as a nutrient and sites later affected by the dam burst were also included by chance. Water samples were collected at six sites in dry and rainy seasons and filtered and ultrafiltered for determination of total dissolved (<0.45 μm) and truly dissolved (<1 kDa) fractions. Diffusive gradients in thin films (DGT) devices were deployed in situ for determination of the DGT-labile fraction. All data were analysed using SO-Map and Spearman's rank correlation. Phosphorus in the Carmo River occurred mainly in the truly dissolved and DGT-labile fractions. The higher amounts of this element in the river water (up to 263 μg L−1 of total P) might be related to untreated sewage discharge. Moreover, the concentrations of other trace metals (Mn, Cu, Co, Ni, Zn) were high, even under the “natural” conditions (before the dam failure) due to natural and anthropogenic factors such as local lithology and mining.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Deutscher Akademischer AustauschdienstInstitute of Science and Technology São Paulo State University (UNESP), Av. Três de Março, 511, Alto da Boa Vista, SPFederal University of Sergipe (UFS) Campus São Cristóvão, Av. Marechal Rondon, s/n, Jardim Rosa Elze, SEFederal University of Ouro Preto (UFOP) Campus Universitário, Morro do Cruzeiro, MGDepartment of Lake Research Helmholtz Centre for Environmental Research – UFZ, Brueckstr. 3aInstitute of Science and Technology São Paulo State University (UNESP), Av. Três de Março, 511, Alto da Boa Vista, SPFAPESP: 12/17727–8FAPESP: 13/14122–0FAPESP: 19/06800–5Deutscher Akademischer Austauschdienst: 99999.008107/2015–07CAPES: BEX10452/14–1Deutscher Akademischer Austauschdienst: DAAD-ID 57414997Universidade Estadual Paulista (UNESP)Universidade Federal de Sergipe (UFS)Federal University of Ouro Preto (UFOP)Helmholtz Centre for Environmental Research – UFZGontijo, Erik Sartori Jeunon [UNESP]Monteiro, Adnívia Santos CostaTonello, Paulo Sérgio [UNESP]Roeser, Hubert Mathias PeterFriese, KurtRosa, André Henrique [UNESP]2023-03-01T20:01:28Z2023-03-01T20:01:28Z2022-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.chemosphere.2022.135003Chemosphere, v. 303.1879-12980045-6535http://hdl.handle.net/11449/24009810.1016/j.chemosphere.2022.1350032-s2.0-85130543301Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengChemosphereinfo:eu-repo/semantics/openAccess2023-03-01T20:01:29Zoai:repositorio.unesp.br:11449/240098Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-03-01T20:01:29Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Analyses of colloidal, truly dissolved, and DGT-labile metal species and phosphorus in mining area surrounded by tailing dams using self-organising maps
title Analyses of colloidal, truly dissolved, and DGT-labile metal species and phosphorus in mining area surrounded by tailing dams using self-organising maps
spellingShingle Analyses of colloidal, truly dissolved, and DGT-labile metal species and phosphorus in mining area surrounded by tailing dams using self-organising maps
Gontijo, Erik Sartori Jeunon [UNESP]
Diffusive gradients in thin films
Kohonen neural network
Mining impacts
Size fractionation
Ultrafiltration
title_short Analyses of colloidal, truly dissolved, and DGT-labile metal species and phosphorus in mining area surrounded by tailing dams using self-organising maps
title_full Analyses of colloidal, truly dissolved, and DGT-labile metal species and phosphorus in mining area surrounded by tailing dams using self-organising maps
title_fullStr Analyses of colloidal, truly dissolved, and DGT-labile metal species and phosphorus in mining area surrounded by tailing dams using self-organising maps
title_full_unstemmed Analyses of colloidal, truly dissolved, and DGT-labile metal species and phosphorus in mining area surrounded by tailing dams using self-organising maps
title_sort Analyses of colloidal, truly dissolved, and DGT-labile metal species and phosphorus in mining area surrounded by tailing dams using self-organising maps
author Gontijo, Erik Sartori Jeunon [UNESP]
author_facet Gontijo, Erik Sartori Jeunon [UNESP]
Monteiro, Adnívia Santos Costa
Tonello, Paulo Sérgio [UNESP]
Roeser, Hubert Mathias Peter
Friese, Kurt
Rosa, André Henrique [UNESP]
author_role author
author2 Monteiro, Adnívia Santos Costa
Tonello, Paulo Sérgio [UNESP]
Roeser, Hubert Mathias Peter
Friese, Kurt
Rosa, André Henrique [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Federal de Sergipe (UFS)
Federal University of Ouro Preto (UFOP)
Helmholtz Centre for Environmental Research – UFZ
dc.contributor.author.fl_str_mv Gontijo, Erik Sartori Jeunon [UNESP]
Monteiro, Adnívia Santos Costa
Tonello, Paulo Sérgio [UNESP]
Roeser, Hubert Mathias Peter
Friese, Kurt
Rosa, André Henrique [UNESP]
dc.subject.por.fl_str_mv Diffusive gradients in thin films
Kohonen neural network
Mining impacts
Size fractionation
Ultrafiltration
topic Diffusive gradients in thin films
Kohonen neural network
Mining impacts
Size fractionation
Ultrafiltration
description The knowledge of size-distribution and lability of metals and nutrients in freshwater systems is important for estimation of the ecological effects of mining. However, it is still limited in several mining areas such as the Quadrilátero Ferrífero (Brazil) which was severely polluted by the collapse of the Fundão tailings dam in November 2015. In this study, results of an investigation from 2014 using a neural network named self-organising map (SO-Map) into the conditions of selected trace metals that are of particular importance to mining areas (Cr, Cu, Co, Mn, Ni, Pb, Zn) are presented. Additionally, P was considered by its high importance as a nutrient and sites later affected by the dam burst were also included by chance. Water samples were collected at six sites in dry and rainy seasons and filtered and ultrafiltered for determination of total dissolved (<0.45 μm) and truly dissolved (<1 kDa) fractions. Diffusive gradients in thin films (DGT) devices were deployed in situ for determination of the DGT-labile fraction. All data were analysed using SO-Map and Spearman's rank correlation. Phosphorus in the Carmo River occurred mainly in the truly dissolved and DGT-labile fractions. The higher amounts of this element in the river water (up to 263 μg L−1 of total P) might be related to untreated sewage discharge. Moreover, the concentrations of other trace metals (Mn, Cu, Co, Ni, Zn) were high, even under the “natural” conditions (before the dam failure) due to natural and anthropogenic factors such as local lithology and mining.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-01
2023-03-01T20:01:28Z
2023-03-01T20:01:28Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.chemosphere.2022.135003
Chemosphere, v. 303.
1879-1298
0045-6535
http://hdl.handle.net/11449/240098
10.1016/j.chemosphere.2022.135003
2-s2.0-85130543301
url http://dx.doi.org/10.1016/j.chemosphere.2022.135003
http://hdl.handle.net/11449/240098
identifier_str_mv Chemosphere, v. 303.
1879-1298
0045-6535
10.1016/j.chemosphere.2022.135003
2-s2.0-85130543301
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Chemosphere
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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