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

Authors :
Luís Filipe Sanches Fernandes
Renato Farias do Valle Junior
Fernando António Leal Pacheco
Teresa Cristina Tarlé Pissarra
Maytê Maria Abreu Pires de Melo Silva
Carlos Alberto Valera
Marília Carvalho de Melo
Universidade de Trás-os-Montes e Alto Douro
Laboratório de Geoprossessamento
Universidade Estadual Paulista (UNESP)
Bairro Serra Verde - Belo Horizonte - Minas Gerais
Source :
Scopus, Repositório Institucional da UNESP, Universidade Estadual Paulista (UNESP), instacron:UNESP
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

Made available in DSpace on 2022-05-01T10:03:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-02-25 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Universidade de Trás-os-Montes e Alto Douro Fundação para a Ciência e a Tecnologia 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. CQVR – Centro de Química de Vila Real Universidade de Trás-os-Montes e Alto Douro, Ap. 1013 Instituto Federal do Triângulo Mineiro Campus Uberaba Laboratório de Geoprossessamento Faculdade de Ciências Agrárias e Veterinárias Universidade Estadual Paulista (UNESP) Via de Acesso Prof. Paulo Donato Castellane s/n Secretaria 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 Gerais Coordenadoria Regional das Promotorias de Justiça do Meio Ambiente das Bacias dos Rios Paranaíba e Baixo Rio Grande Rua Coronel Antônio Rios 951 CITAB – Centro de Investigação e Tecnologias Agroambientais e Biológicas Universidade de Trás-os-Montes e Alto Douro, Ap. 1013 Faculdade de Ciências Agrárias e Veterinárias Universidade Estadual Paulista (UNESP) Via de Acesso Prof. Paulo Donato Castellane s/n Fundação para a Ciência e a Tecnologia: UIDB/00616/2020 Fundação para a Ciência e a Tecnologia: UIDB/04033/2020 Fundação para a Ciência e a Tecnologia: UIDP/00616/2020

Details

ISSN :
00489697
Volume :
809
Database :
OpenAIRE
Journal :
Science of The Total Environment
Accession number :
edsair.doi.dedup.....b18e8d6b2c6b2146875d9006a1f24f6e
Full Text :
https://doi.org/10.1016/j.scitotenv.2021.151157