Evidence map›Paper›PMID 34152464›Full record

ArticleEnvironmental monitoring and assessment2021

Spectro-temporal analysis of the Paraopeba River water after the tailings dam burst of the Córrego do Feijão mine, in Brumadinho, Brazil.

David Bruno de Sousa Teixeira, Mariana Faria Veloso, Fernanda Laurinda Valadares Ferreira, José Marinaldo Gleriani, Cibele Hummel do Amaral

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 16 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

David Bruno de Sousa TeixeiraDepartment of Agricultural Engineering, Federal University of Viçosa (UFV), Vicosa, MG, Brazil. david.teixeira@ufv.br.ORCID http://orcid.org/0000-0003-4808-6328
Mariana Faria VelosoDepartment of Agricultural Engineering, Federal University of Viçosa (UFV), Vicosa, MG, Brazil.ORCID http://orcid.org/0000-0002-8368-7877
Fernanda Laurinda Valadares FerreiraDepartment of Agricultural Engineering, Federal University of Viçosa (UFV), Vicosa, MG, Brazil.ORCID http://orcid.org/0000-0003-3206-8467
José Marinaldo GlerianiDepartment of Forest Engineering, Federal University of Viçosa (UFV), Vicosa, MG, Brazil.ORCID http://orcid.org/0000-0002-8735-1676
Cibele Hummel do AmaralDepartment of Forest Engineering, Federal University of Viçosa (UFV), Vicosa, MG, Brazil.ORCID http://orcid.org/0000-0001-7597-2427
Universidade Federal de Viçosa · BR

Funding

Coordination for the Improvement of Higher Level Personnel (CAPES) 001
6 · The paper itself

Abstract

Remote sensing is an important tool for environmental assessment, especially in the event of disasters such as the tailings dam burst at the Córrego do Feijão mine, located in the Paraopeba River basin, Brazil. Thus, this study aimed to carry out a spectro-temporal analysis of the Paraopeba River water given the dam burst, using multispectral images from the MSI sensor onboard Sentinel-2 satellites. For this analysis, sections along the river were defined by the creation of buffers, with 10-km intervals each, starting from the origin of the burst. For each section, the average visible to near-infrared (NIR) reflectance values per band and the Normalized Difference Water Index (NDWI) were obtained. We found that the red edge and NIR bands (B5, B6, B7, B8, and B8A) showed higher reflectance values when compared to the visible bands in the months immediately after the disaster, especially in the first 20 km. In these months, negative NDWI values were also found for almost all sections downstream, demonstrating the large volume of mining tailings in the Paraopeba River. The seasonal variation of the observed values indicates the resuspension of the material deposited at the river bottom with the beginning of the rainy season. Finally, we highlight the usefulness of the MSI/Sentinel-2 red edge and NIR bands for further studies on the monitoring from space of water bodies subjected to contamination by large amounts of mud with iron ore tailings and contaminants, as occurred in the state of Minas Gerais, southeastern Brazil.

Indexed as

Environmental MonitoringWater Pollutants, ChemicalBrazilRiversWaterWaterWater Pollutants, ChemicalEnvironmental disasterNDWIRed-edge reflectanceRemote sensingSentinel-2Time series

Identifiers

PMID34152464
OpenAlexW3176146201

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.