2021
DOI: 10.3390/rs13091775
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Watch Out for the Tailings Pond, a Sharp Edge Hanging over Our Heads: Lessons Learned and Perceptions from the Brumadinho Tailings Dam Failure Disaster

Abstract: A catastrophic tailings dam failure disaster occurred in Brumadinho, Brazil on 25 January 2019, which resulted in over 270 casualties, 24,000 residents evacuated, and a huge economic loss. Environmental concerns were raised for the potential pollution of water due to tailings waste entering the Paraopeba River. In this paper, a detailed analysis has been carried out to investigate the disaster conditions of the Brumadinho dam failure using satellite images with different spatial resolutions. Our in-depth analy… Show more

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Cited by 25 publications
(6 citation statements)
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“…Tailings continued to flow along ~ 56 km of streams and rivers causing some of them to overflow and take on a pale colour. Pre and post-failure natural colour images and sediment index 19 , 20 renderings strongly suggest that the tailings had reached the Kalkfontein dam reservoir by 12 September (Fig. 6 ).…”
Section: Resultsmentioning
confidence: 94%
“…Tailings continued to flow along ~ 56 km of streams and rivers causing some of them to overflow and take on a pale colour. Pre and post-failure natural colour images and sediment index 19 , 20 renderings strongly suggest that the tailings had reached the Kalkfontein dam reservoir by 12 September (Fig. 6 ).…”
Section: Resultsmentioning
confidence: 94%
“…Numerous incidents of mine dam failures have led to environmental and social catastrophes (WISE Uranium Project, 2021). For instance, the Mariana and Brumadinho tailings dam failures in Brazil killed hundreds of people, displaced thousands and caused extensive environmental damage (Cheng et al, 2021). Reports alleged that leaders were made aware of potential risks long before the events, but pursued cost reductions and productivity gains rather than heed the warnings (Phillips, 2018).…”
Section: Literature Review Mining In Emerging Economiesmentioning
confidence: 99%
“…Remote sensing images of multiple times and multiple resolutions were used, from macro to micro, from whole to part, real-time monitoring of changes in mines in the study area. Reference [29] used Jixi mining area as the experimental research area and used the combination of ERDAS software and MapGIS software to carry out remote sensing processing of the collapse information in the study area. In addition, topographic maps, remote sensing images, and other data are used to verify the study area on the spot to verify whether the extraction of the collapsed area is correct.…”
Section: Related Workmentioning
confidence: 99%