A partial least squares-path model of causality among environmental deterioration indicators in the dry period of Paraopeba River after the rupture of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)

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dc.contributor.authorMendes, Rafaella Gouveia
dc.contributor.authordo Valle Junior, Renato Farias
dc.contributor.authorde Melo Silva, Maytê Maria Abreu Pires
dc.contributor.authorSanches Fernandes, Luís Filipe
dc.contributor.authorPinheiro Fernandes, António Carlos
dc.contributor.authorPissarra, Teresa Cristina Tarlé [UNESP]
dc.contributor.authorde Melod, Marília Carvalho
dc.contributor.authorValera, Carlos Alberto
dc.contributor.authorPacheco, Fernando António Leal
dc.contributor.institutionLaboratório de Geoprossessamento
dc.contributor.institutionUniversidade de Trás-os-Montes e Alto Douro (UTAD)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionCidade Administrativa do Estado de Minas Gerais
dc.contributor.institutionUniversidade Vale do Rio Verde (UNINCOR)
dc.contributor.institutionCoordenadoria Regional das Promotorias de Justiça do Meio Ambiente das Bacias dos Rios Paranaíba e Baixo Rio Grande
dc.date.accessioned2023-03-02T00:29:48Z
dc.date.available2023-03-02T00:29:48Z
dc.date.issued2022-08-01
dc.description.abstractThis study investigated the collapse of B1 mine-tailings dam that occurred in 25 January 2019 and severely affected the Brumadinho region (Minas Gerais state, Brazil) socially, economically and environmentally. As regards water resources, the event impacted the Paraopeba River in the first 155.3 km counted from the dam site, meaning nearly half the main water course downstream of B1. In the impacted sector, high concentrations of tailings-related Al, Fe, Mn, P in river sediment-tailings mixtures and water were detected, as well as changes to the reflectance of riparian forests. In the river water, the metal concentrations raised significantly above safe levels. For caution, the water management authorities declared immediate suspension of Paraopeba River as drinking water source to the Metropolitan Region of Belo Horizonte (6 million people), irrespective of representing nearly 30% of all supply. In this study, the main purpose was to assess potential links between tailings distribution, river water composition and reflectance of forest vegetation, which worked out as latent variables in regression models. The latent variables were represented by numerous physical and chemical parameters, measured 4 times in 22 sites during the dry period of 2019. The modeling results suggested the release of aluminum and phosphorus from sand fractions in the mine tailings as major cause of water contamination. The NDVI changes were interpreted as environmental deterioration. Changes in redox potential may have raised manganese concentrations in surface water further affecting the forest NDVI. Distance from the B1 dam and dissolved calcium appear to attenuate deterioration. Overall, the regressions allowed robust prognoses of environmental deterioration in the Paraopeba River under low flow conditions. More importantly, they can be transposed to similar dam ruptures helping environmental authorities to decide upon measures that can bring the affected rivers to pre-rupture conditions.en
dc.description.affiliationInstituto Federal do Triângulo Mineiro (IFTM) Campus Uberaba Laboratório de Geoprossessamento, MG
dc.description.affiliationCentro de Investigação e Tecnologias Agroambientais e Biológicas (CITAB) Universidade de Trás-os-Montes e Alto Douro (UTAD), Ap. 1013
dc.description.affiliationFaculdade de Ciências Agrárias e Veterinárias Universidade Estadual Paulista (UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP
dc.description.affiliationSecretaria de Estado de Meio Ambiente e Desenvolvimento Sustentável Cidade Administrativa do Estado de Minas Gerais, Rodovia João Paulo II, Bairro Serra Verde, Minas Gerais
dc.description.affiliationUniversidade Vale do Rio Verde (UNINCOR), Av. Castelo Branco, 82 - Chácara das Rosas, MG
dc.description.affiliationCoordenadoria Regional das Promotorias de Justiça do Meio Ambiente das Bacias dos Rios Paranaíba e Baixo Rio Grande, Rua Coronel Antônio Rios, 951, MG
dc.description.affiliationCentro de Química de Vila Real (CQVR) Universidade de Trás-os-Montes e Alto Douro (UTAD), Ap. 1013
dc.description.affiliationUnespFaculdade de Ciências Agrárias e Veterinárias Universidade Estadual Paulista (UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipUniversidade de Trás-os-Montes e Alto Douro
dc.description.sponsorshipFundação para a Ciência e a Tecnologia
dc.description.sponsorshipIdUniversidade de Trás-os-Montes e Alto Douro: 5500074952/5500074950/5500074953
dc.description.sponsorshipIdFundação para a Ciência e a Tecnologia: UIDB/00616/2020
dc.description.sponsorshipIdFundação para a Ciência e a Tecnologia: UIDB/04033/2020
dc.description.sponsorshipIdFundação para a Ciência e a Tecnologia: UIDP/00616/2020
dc.identifierhttp://dx.doi.org/10.1016/j.envpol.2022.119341
dc.identifier.citationEnvironmental Pollution, v. 306.
dc.identifier.doi10.1016/j.envpol.2022.119341
dc.identifier.issn1873-6424
dc.identifier.issn0269-7491
dc.identifier.scopus2-s2.0-85129906740
dc.identifier.urihttp://hdl.handle.net/11449/241831
dc.language.isoeng
dc.relation.ispartofEnvironmental Pollution
dc.sourceScopus
dc.subjectBrumadinho (Brazil)
dc.subjectDam rupture
dc.subjectEnvironmental degradation
dc.subjectPartial least squares-path modeling
dc.subjectTailings distribution
dc.subjectWater quality
dc.titleA partial least squares-path model of causality among environmental deterioration indicators in the dry period of Paraopeba River after the rupture of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)en
dc.typeArtigo
unesp.author.orcid0000-0003-0774-5788[2]
unesp.author.orcid0000-0001-6124-1578[5]
unesp.author.orcid0000-0002-2399-5261[9]
unesp.departmentEngenharia Rural - FCAVpt

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Jaboticabal - FCAV - Faculdade de Ciências Agrárias e Veterinárias