The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
DOI: | 10.1016/j.jag.2020.102119 |
Texto Completo: | http://dx.doi.org/10.1016/j.jag.2020.102119 http://hdl.handle.net/11449/196853 |
Resumo: | On 25th January 2019, the tailings dam of the Brumadinho iron mine operated by Vale S/A failed catastrophically. The death toll stood at 259 and 11 people remained missing as of January 2020. This tragedy occurred three years after Mariana's tailings dam rupture - the most significant tailing dam disaster in Brazilian history. Thus far, a systematic investigation on the cause and effect of the failure has yet to be conducted. Here, we use satellite-driven soil moisture index, multispectral high-resolution imagery and Interferometric Synthetic Aperture Radar (InSAR) products to assess pre-disaster scenarios and the direct causes of the tailings dam collapse. A decreasing trend in the moisture content at the surface and the full evanescence of pond water through time (2011-2019) suggest that the water was gradually penetrating the fill downwards and caused the seepage erosion, saturating the tailings dam. Large-scale slumping of the dam (extensional failure) upon the rupture indicates that the materials of the fill were already saturated. InSAR measurements reveal a dramatic, up to 30 cm subsidence in the dam (at the rear part) within the past 12 months before the dam collapse, signifying that the sediments had been removed from the fill. Although the information on the resistance level of the tailings dam to infiltrations is not available, these pieces of evidence collectively indicate that the seepage erosion (piping) is the primary cause for the chronic weakening of the structure and, hence, the internal liquefaction condition. Upon the collapse, the fully saturated mud tailings flowed down the gentle slope area (3.13 x 10(6) m(2)), where 73 % were originally covered by tree, grass or agricultural tracts. The toxic mud eventually reached the Paraopeba River after travelling 10 km, abruptly increasing the suspended particulate matter (SPM) concentration and the toxic chemical elements in the river, immediately affecting the local livelihoods that depend on its water. The Paraopeba River is a major tributary of the San Francisco River, the second-longest river in Brazil reaching the Atlantic Ocean. We anticipate that the environmental repercussions of this toxic seepage will be felt throughout the entire basin, especially riverine communities located downstream. |
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The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in BrazilDam collapseMiningContaminated mudSuspended particulate matterRemote sensingOn 25th January 2019, the tailings dam of the Brumadinho iron mine operated by Vale S/A failed catastrophically. The death toll stood at 259 and 11 people remained missing as of January 2020. This tragedy occurred three years after Mariana's tailings dam rupture - the most significant tailing dam disaster in Brazilian history. Thus far, a systematic investigation on the cause and effect of the failure has yet to be conducted. Here, we use satellite-driven soil moisture index, multispectral high-resolution imagery and Interferometric Synthetic Aperture Radar (InSAR) products to assess pre-disaster scenarios and the direct causes of the tailings dam collapse. A decreasing trend in the moisture content at the surface and the full evanescence of pond water through time (2011-2019) suggest that the water was gradually penetrating the fill downwards and caused the seepage erosion, saturating the tailings dam. Large-scale slumping of the dam (extensional failure) upon the rupture indicates that the materials of the fill were already saturated. InSAR measurements reveal a dramatic, up to 30 cm subsidence in the dam (at the rear part) within the past 12 months before the dam collapse, signifying that the sediments had been removed from the fill. Although the information on the resistance level of the tailings dam to infiltrations is not available, these pieces of evidence collectively indicate that the seepage erosion (piping) is the primary cause for the chronic weakening of the structure and, hence, the internal liquefaction condition. Upon the collapse, the fully saturated mud tailings flowed down the gentle slope area (3.13 x 10(6) m(2)), where 73 % were originally covered by tree, grass or agricultural tracts. The toxic mud eventually reached the Paraopeba River after travelling 10 km, abruptly increasing the suspended particulate matter (SPM) concentration and the toxic chemical elements in the river, immediately affecting the local livelihoods that depend on its water. The Paraopeba River is a major tributary of the San Francisco River, the second-longest river in Brazil reaching the Atlantic Ocean. We anticipate that the environmental repercussions of this toxic seepage will be felt throughout the entire basin, especially riverine communities located downstream.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)SUG-NAP of the Nanyang Technological UniversitySao Paulo State Univ, Dept Cartog, Unesp, Presidente Prudente, SP, BrazilSao Paulo State Univ, Dept Environm Engn, Unesp, Presidente Prudente, SP, BrazilNanyang Technol Univ, Natl Inst Educ, Singapore, SingaporeNanyang Technol Univ, Asian Sch Environm, Singapore, SingaporeAcad Sinica, Inst Earth Sci, Taipei, TaiwanUniv Estadual Campinas, Inst Geosci, Unicamp, Campinas, BrazilSao Paulo State Univ, Dept Cartog, Unesp, Presidente Prudente, SP, BrazilSao Paulo State Univ, Dept Environm Engn, Unesp, Presidente Prudente, SP, BrazilFAPESP: 19/00259-0CNPq: 309712/2017-3CNPq: 303169/2018-4FAPESP: 2018/01033-3SUG-NAP of the Nanyang Technological University: 3/19EPElsevier B.V.Universidade Estadual Paulista (Unesp)Nanyang Technol UnivAcad SinicaUniversidade Estadual de Campinas (UNICAMP)Silva Rotta, Luiz Henrique [UNESP]Alcantara, Enner [UNESP]Park, EdwardNegri, Rogerio Galante [UNESP]Lin, Yunung NinaBernardo, Nariane [UNESP]Goncalves Mendes, Tatiana Sussel [UNESP]Souza Filho, Carlos Roberto2020-12-10T19:58:16Z2020-12-10T19:58:16Z2020-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12http://dx.doi.org/10.1016/j.jag.2020.102119International Journal Of Applied Earth Observation And Geoinformation. Amsterdam: Elsevier, v. 90, 12 p., 2020.1569-8432http://hdl.handle.net/11449/19685310.1016/j.jag.2020.102119WOS:00053025060000882018051329812880000-0002-4808-2362Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal Of Applied Earth Observation And Geoinformationinfo:eu-repo/semantics/openAccess2024-06-18T18:18:05Zoai:repositorio.unesp.br:11449/196853Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:00:23.251151Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil |
title |
The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil |
spellingShingle |
The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil Silva Rotta, Luiz Henrique [UNESP] Dam collapse Mining Contaminated mud Suspended particulate matter Remote sensing Silva Rotta, Luiz Henrique [UNESP] Dam collapse Mining Contaminated mud Suspended particulate matter Remote sensing |
title_short |
The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil |
title_full |
The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil |
title_fullStr |
The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil |
title_full_unstemmed |
The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil |
title_sort |
The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil |
author |
Silva Rotta, Luiz Henrique [UNESP] |
author_facet |
Silva Rotta, Luiz Henrique [UNESP] Silva Rotta, Luiz Henrique [UNESP] Alcantara, Enner [UNESP] Park, Edward Negri, Rogerio Galante [UNESP] Lin, Yunung Nina Bernardo, Nariane [UNESP] Goncalves Mendes, Tatiana Sussel [UNESP] Souza Filho, Carlos Roberto Alcantara, Enner [UNESP] Park, Edward Negri, Rogerio Galante [UNESP] Lin, Yunung Nina Bernardo, Nariane [UNESP] Goncalves Mendes, Tatiana Sussel [UNESP] Souza Filho, Carlos Roberto |
author_role |
author |
author2 |
Alcantara, Enner [UNESP] Park, Edward Negri, Rogerio Galante [UNESP] Lin, Yunung Nina Bernardo, Nariane [UNESP] Goncalves Mendes, Tatiana Sussel [UNESP] Souza Filho, Carlos Roberto |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Nanyang Technol Univ Acad Sinica Universidade Estadual de Campinas (UNICAMP) |
dc.contributor.author.fl_str_mv |
Silva Rotta, Luiz Henrique [UNESP] Alcantara, Enner [UNESP] Park, Edward Negri, Rogerio Galante [UNESP] Lin, Yunung Nina Bernardo, Nariane [UNESP] Goncalves Mendes, Tatiana Sussel [UNESP] Souza Filho, Carlos Roberto |
dc.subject.por.fl_str_mv |
Dam collapse Mining Contaminated mud Suspended particulate matter Remote sensing |
topic |
Dam collapse Mining Contaminated mud Suspended particulate matter Remote sensing |
description |
On 25th January 2019, the tailings dam of the Brumadinho iron mine operated by Vale S/A failed catastrophically. The death toll stood at 259 and 11 people remained missing as of January 2020. This tragedy occurred three years after Mariana's tailings dam rupture - the most significant tailing dam disaster in Brazilian history. Thus far, a systematic investigation on the cause and effect of the failure has yet to be conducted. Here, we use satellite-driven soil moisture index, multispectral high-resolution imagery and Interferometric Synthetic Aperture Radar (InSAR) products to assess pre-disaster scenarios and the direct causes of the tailings dam collapse. A decreasing trend in the moisture content at the surface and the full evanescence of pond water through time (2011-2019) suggest that the water was gradually penetrating the fill downwards and caused the seepage erosion, saturating the tailings dam. Large-scale slumping of the dam (extensional failure) upon the rupture indicates that the materials of the fill were already saturated. InSAR measurements reveal a dramatic, up to 30 cm subsidence in the dam (at the rear part) within the past 12 months before the dam collapse, signifying that the sediments had been removed from the fill. Although the information on the resistance level of the tailings dam to infiltrations is not available, these pieces of evidence collectively indicate that the seepage erosion (piping) is the primary cause for the chronic weakening of the structure and, hence, the internal liquefaction condition. Upon the collapse, the fully saturated mud tailings flowed down the gentle slope area (3.13 x 10(6) m(2)), where 73 % were originally covered by tree, grass or agricultural tracts. The toxic mud eventually reached the Paraopeba River after travelling 10 km, abruptly increasing the suspended particulate matter (SPM) concentration and the toxic chemical elements in the river, immediately affecting the local livelihoods that depend on its water. The Paraopeba River is a major tributary of the San Francisco River, the second-longest river in Brazil reaching the Atlantic Ocean. We anticipate that the environmental repercussions of this toxic seepage will be felt throughout the entire basin, especially riverine communities located downstream. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-10T19:58:16Z 2020-12-10T19:58:16Z 2020-08-01 |
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.jag.2020.102119 International Journal Of Applied Earth Observation And Geoinformation. Amsterdam: Elsevier, v. 90, 12 p., 2020. 1569-8432 http://hdl.handle.net/11449/196853 10.1016/j.jag.2020.102119 WOS:000530250600008 8201805132981288 0000-0002-4808-2362 |
url |
http://dx.doi.org/10.1016/j.jag.2020.102119 http://hdl.handle.net/11449/196853 |
identifier_str_mv |
International Journal Of Applied Earth Observation And Geoinformation. Amsterdam: Elsevier, v. 90, 12 p., 2020. 1569-8432 10.1016/j.jag.2020.102119 WOS:000530250600008 8201805132981288 0000-0002-4808-2362 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal Of Applied Earth Observation And Geoinformation |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
12 |
dc.publisher.none.fl_str_mv |
Elsevier B.V. |
publisher.none.fl_str_mv |
Elsevier B.V. |
dc.source.none.fl_str_mv |
Web of Science 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 |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1822182418614845440 |
dc.identifier.doi.none.fl_str_mv |
10.1016/j.jag.2020.102119 |