Prognosis of metal concentrations in sediments and water of Paraopeba River following the collapse of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)

Detalhes bibliográficos
Autor(a) principal: Pacheco, Fernando António Leal
Data de Publicação: 2022
Outros Autores: do Valle Junior, Renato Farias, de Melo Silva, Maytê Maria Abreu Pires, Pissarra, Teresa Cristina Tarlé [UNESP], Carvalho de Melo, Marília, Valera, Carlos Alberto, Sanches Fernandes, Luís Filipe
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.scitotenv.2021.151157
http://hdl.handle.net/11449/233768
Resumo: In January 25, 2019, the B1 dam of Córrego do Feijão mine located in Brumadinho municipality (Minas Gerais, Brazil) collapsed and injected nearly 2.8 Mm3 of iron (Fe)- and manganese (Mn)-rich tailings in the Paraopeba River. This study assessed the contribution of tailings to the contamination of sediments and water by those metals. The dataset was built through daily to weekly samplings executed in the two years following the event, at 27 sites located along the Paraopeba plus 9 sites located at the confluence of main tributaries. The results evidenced a distinct contribution in the sectors “Anomalous” (8.6–63.3 km downstream from the dam) and “Natural” (115.8–341.6 km). The “Anomalous” sector presented large Fe/Al (12.2 ± 6.4) and Mn/Al (0.33 ± 0.19) ratios in sediments, thus being rich in tailings, while the “Natural” sector presented small ratios (2.4 ± 1.0; 0.06 ± 0.03) comparable to the natural sediments. A 500–700 m3/s stream flow discharge in the Paraopeba caused pronounced drops to the Fe/Al and Mn/Al ratios in the “Anomalous” sector, attributed to the mixture of contaminated sediments from the main water course with uncontaminated sediments injected by the tributaries during the event. Non-linear regressions showed Fe/Al and Mn/Al declines in the “Anomalous” sector, related with tailings mobilization downstream. The concentrations of Fe and Al in the sediments correlated positively with the corresponding concentrations in the Paraopeba water, conditioned by raising discharge rates and variations in the water pH. The contribution of tailings to the Fe correlation was demonstrated. No direct relation was established between the Mn concentrations in water and stream discharge, because manganese is associated with fine particles in the tailings that are mobilized to the water column even under low flows. The preliminary results of Seasonal Autoregressive Integrated Moving Average models predicted the return of Paraopeba to a pre-collapse condition in 7–11 years.
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spelling Prognosis of metal concentrations in sediments and water of Paraopeba River following the collapse of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)ContaminationPredictionsRiver waterSedimentsTailings dam collapseTime series analysisIn January 25, 2019, the B1 dam of Córrego do Feijão mine located in Brumadinho municipality (Minas Gerais, Brazil) collapsed and injected nearly 2.8 Mm3 of iron (Fe)- and manganese (Mn)-rich tailings in the Paraopeba River. This study assessed the contribution of tailings to the contamination of sediments and water by those metals. The dataset was built through daily to weekly samplings executed in the two years following the event, at 27 sites located along the Paraopeba plus 9 sites located at the confluence of main tributaries. The results evidenced a distinct contribution in the sectors “Anomalous” (8.6–63.3 km downstream from the dam) and “Natural” (115.8–341.6 km). The “Anomalous” sector presented large Fe/Al (12.2 ± 6.4) and Mn/Al (0.33 ± 0.19) ratios in sediments, thus being rich in tailings, while the “Natural” sector presented small ratios (2.4 ± 1.0; 0.06 ± 0.03) comparable to the natural sediments. A 500–700 m3/s stream flow discharge in the Paraopeba caused pronounced drops to the Fe/Al and Mn/Al ratios in the “Anomalous” sector, attributed to the mixture of contaminated sediments from the main water course with uncontaminated sediments injected by the tributaries during the event. Non-linear regressions showed Fe/Al and Mn/Al declines in the “Anomalous” sector, related with tailings mobilization downstream. The concentrations of Fe and Al in the sediments correlated positively with the corresponding concentrations in the Paraopeba water, conditioned by raising discharge rates and variations in the water pH. The contribution of tailings to the Fe correlation was demonstrated. No direct relation was established between the Mn concentrations in water and stream discharge, because manganese is associated with fine particles in the tailings that are mobilized to the water column even under low flows. The preliminary results of Seasonal Autoregressive Integrated Moving Average models predicted the return of Paraopeba to a pre-collapse condition in 7–11 years.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Universidade de Trás-os-Montes e Alto DouroFundação para a Ciência e a TecnologiaCQVR – Centro de Química de Vila Real Universidade de Trás-os-Montes e Alto Douro, Ap. 1013Instituto Federal do Triângulo Mineiro Campus Uberaba Laboratório de GeoprossessamentoFaculdade de Ciências Agrárias e Veterinárias Universidade Estadual Paulista (UNESP) Via de Acesso Prof. Paulo Donato Castellane s/nSecretaria de Estado de Meio Ambiente e Desenvolvimento Sustentável Cidade Administrativa do Estado de Minas Gerais Rodovia João Paulo II 4143 Bairro Serra Verde - Belo Horizonte - Minas GeraisCoordenadoria Regional das Promotorias de Justiça do Meio Ambiente das Bacias dos Rios Paranaíba e Baixo Rio Grande Rua Coronel Antônio Rios 951CITAB – Centro de Investigação e Tecnologias Agroambientais e Biológicas Universidade de Trás-os-Montes e Alto Douro, Ap. 1013Faculdade de Ciências Agrárias e Veterinárias Universidade Estadual Paulista (UNESP) Via de Acesso Prof. Paulo Donato Castellane s/nFundação para a Ciência e a Tecnologia: UIDB/00616/2020Fundação para a Ciência e a Tecnologia: UIDB/04033/2020Fundação para a Ciência e a Tecnologia: UIDP/00616/2020Universidade de Trás-os-Montes e Alto DouroLaboratório de GeoprossessamentoUniversidade Estadual Paulista (UNESP)Bairro Serra Verde - Belo Horizonte - Minas Gerais951Pacheco, Fernando António Lealdo Valle Junior, Renato Fariasde Melo Silva, Maytê Maria Abreu PiresPissarra, Teresa Cristina Tarlé [UNESP]Carvalho de Melo, MaríliaValera, Carlos AlbertoSanches Fernandes, Luís Filipe2022-05-01T10:03:12Z2022-05-01T10:03:12Z2022-02-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.scitotenv.2021.151157Science of the Total Environment, v. 809.1879-10260048-9697http://hdl.handle.net/11449/23376810.1016/j.scitotenv.2021.1511572-s2.0-85118362851Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScience of the Total Environmentinfo:eu-repo/semantics/openAccess2024-06-06T15:18:29Zoai:repositorio.unesp.br:11449/233768Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:08:33.814238Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Prognosis of metal concentrations in sediments and water of Paraopeba River following the collapse of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)
title Prognosis of metal concentrations in sediments and water of Paraopeba River following the collapse of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)
spellingShingle Prognosis of metal concentrations in sediments and water of Paraopeba River following the collapse of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)
Pacheco, Fernando António Leal
Contamination
Predictions
River water
Sediments
Tailings dam collapse
Time series analysis
title_short Prognosis of metal concentrations in sediments and water of Paraopeba River following the collapse of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)
title_full Prognosis of metal concentrations in sediments and water of Paraopeba River following the collapse of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)
title_fullStr Prognosis of metal concentrations in sediments and water of Paraopeba River following the collapse of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)
title_full_unstemmed Prognosis of metal concentrations in sediments and water of Paraopeba River following the collapse of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)
title_sort Prognosis of metal concentrations in sediments and water of Paraopeba River following the collapse of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)
author Pacheco, Fernando António Leal
author_facet Pacheco, Fernando António Leal
do Valle Junior, Renato Farias
de Melo Silva, Maytê Maria Abreu Pires
Pissarra, Teresa Cristina Tarlé [UNESP]
Carvalho de Melo, Marília
Valera, Carlos Alberto
Sanches Fernandes, Luís Filipe
author_role author
author2 do Valle Junior, Renato Farias
de Melo Silva, Maytê Maria Abreu Pires
Pissarra, Teresa Cristina Tarlé [UNESP]
Carvalho de Melo, Marília
Valera, Carlos Alberto
Sanches Fernandes, Luís Filipe
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de Trás-os-Montes e Alto Douro
Laboratório de Geoprossessamento
Universidade Estadual Paulista (UNESP)
Bairro Serra Verde - Belo Horizonte - Minas Gerais
951
dc.contributor.author.fl_str_mv Pacheco, Fernando António Leal
do Valle Junior, Renato Farias
de Melo Silva, Maytê Maria Abreu Pires
Pissarra, Teresa Cristina Tarlé [UNESP]
Carvalho de Melo, Marília
Valera, Carlos Alberto
Sanches Fernandes, Luís Filipe
dc.subject.por.fl_str_mv Contamination
Predictions
River water
Sediments
Tailings dam collapse
Time series analysis
topic Contamination
Predictions
River water
Sediments
Tailings dam collapse
Time series analysis
description In January 25, 2019, the B1 dam of Córrego do Feijão mine located in Brumadinho municipality (Minas Gerais, Brazil) collapsed and injected nearly 2.8 Mm3 of iron (Fe)- and manganese (Mn)-rich tailings in the Paraopeba River. This study assessed the contribution of tailings to the contamination of sediments and water by those metals. The dataset was built through daily to weekly samplings executed in the two years following the event, at 27 sites located along the Paraopeba plus 9 sites located at the confluence of main tributaries. The results evidenced a distinct contribution in the sectors “Anomalous” (8.6–63.3 km downstream from the dam) and “Natural” (115.8–341.6 km). The “Anomalous” sector presented large Fe/Al (12.2 ± 6.4) and Mn/Al (0.33 ± 0.19) ratios in sediments, thus being rich in tailings, while the “Natural” sector presented small ratios (2.4 ± 1.0; 0.06 ± 0.03) comparable to the natural sediments. A 500–700 m3/s stream flow discharge in the Paraopeba caused pronounced drops to the Fe/Al and Mn/Al ratios in the “Anomalous” sector, attributed to the mixture of contaminated sediments from the main water course with uncontaminated sediments injected by the tributaries during the event. Non-linear regressions showed Fe/Al and Mn/Al declines in the “Anomalous” sector, related with tailings mobilization downstream. The concentrations of Fe and Al in the sediments correlated positively with the corresponding concentrations in the Paraopeba water, conditioned by raising discharge rates and variations in the water pH. The contribution of tailings to the Fe correlation was demonstrated. No direct relation was established between the Mn concentrations in water and stream discharge, because manganese is associated with fine particles in the tailings that are mobilized to the water column even under low flows. The preliminary results of Seasonal Autoregressive Integrated Moving Average models predicted the return of Paraopeba to a pre-collapse condition in 7–11 years.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-01T10:03:12Z
2022-05-01T10:03:12Z
2022-02-25
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.scitotenv.2021.151157
Science of the Total Environment, v. 809.
1879-1026
0048-9697
http://hdl.handle.net/11449/233768
10.1016/j.scitotenv.2021.151157
2-s2.0-85118362851
url http://dx.doi.org/10.1016/j.scitotenv.2021.151157
http://hdl.handle.net/11449/233768
identifier_str_mv Science of the Total Environment, v. 809.
1879-1026
0048-9697
10.1016/j.scitotenv.2021.151157
2-s2.0-85118362851
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Science of the Total Environment
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
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repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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