Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas Watershed

Detalhes bibliográficos
Autor(a) principal: Vicq, Raphael
Data de Publicação: 2021
Outros Autores: Albuquerque, Teresa, Fonseca, Rita, Leite, Mariangela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/33953
Resumo: The geochemistry of fluvial deposits is one of the most used proxies for contamination assessment in mined areas. A river sediment survey was carried out in Iron Quadrangle (IQ), Brazil, between 2013 and 2015. Subsequently, in the last four years, two dam failures happened, causing great environmental damage. Geostatistical modelling was used to model Potentially Toxic Elements’ spatial patterns and the definition of hot/ cold clusters for Arsenic contamination risk concerning catastrophic scenarios, such as dam failure. and so used as a tool for vulnerability and risk assessment. The preliminary results for Arsenic spatial distribution are introduced and discussed.
id RCAP_0af2d98329d98d49468153d54b6edfe5
oai_identifier_str oai:dspace.uevora.pt:10174/33953
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas WatershedIron QuadranglePotentially toxic elementsGeostatistic ModellingThe geochemistry of fluvial deposits is one of the most used proxies for contamination assessment in mined areas. A river sediment survey was carried out in Iron Quadrangle (IQ), Brazil, between 2013 and 2015. Subsequently, in the last four years, two dam failures happened, causing great environmental damage. Geostatistical modelling was used to model Potentially Toxic Elements’ spatial patterns and the definition of hot/ cold clusters for Arsenic contamination risk concerning catastrophic scenarios, such as dam failure. and so used as a tool for vulnerability and risk assessment. The preliminary results for Arsenic spatial distribution are introduced and discussed.International Mine Water Association2023-02-07T12:20:38Z2023-02-072021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/33953http://hdl.handle.net/10174/33953engVICQ, R., ALBUQUERQUE, T., FONSECA, R., LEITE, M. (2020) Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas Watershed. In: Pope, J., Wolkersdorfer, C., Sartz, L., Weber, A., Wolkersdorfer, K. (Eds.) Mine Water Solutions, IMWA 2020, pp. 13-19.raphaelvicq@gmail.comteresal@ipcb.ptrfonseca@uevora.ptndVicq, RaphaelAlbuquerque, TeresaFonseca, RitaLeite, Mariangelainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:36:09Zoai:dspace.uevora.pt:10174/33953Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:22:40.377221Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas Watershed
title Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas Watershed
spellingShingle Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas Watershed
Vicq, Raphael
Iron Quadrangle
Potentially toxic elements
Geostatistic Modelling
title_short Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas Watershed
title_full Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas Watershed
title_fullStr Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas Watershed
title_full_unstemmed Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas Watershed
title_sort Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas Watershed
author Vicq, Raphael
author_facet Vicq, Raphael
Albuquerque, Teresa
Fonseca, Rita
Leite, Mariangela
author_role author
author2 Albuquerque, Teresa
Fonseca, Rita
Leite, Mariangela
author2_role author
author
author
dc.contributor.author.fl_str_mv Vicq, Raphael
Albuquerque, Teresa
Fonseca, Rita
Leite, Mariangela
dc.subject.por.fl_str_mv Iron Quadrangle
Potentially toxic elements
Geostatistic Modelling
topic Iron Quadrangle
Potentially toxic elements
Geostatistic Modelling
description The geochemistry of fluvial deposits is one of the most used proxies for contamination assessment in mined areas. A river sediment survey was carried out in Iron Quadrangle (IQ), Brazil, between 2013 and 2015. Subsequently, in the last four years, two dam failures happened, causing great environmental damage. Geostatistical modelling was used to model Potentially Toxic Elements’ spatial patterns and the definition of hot/ cold clusters for Arsenic contamination risk concerning catastrophic scenarios, such as dam failure. and so used as a tool for vulnerability and risk assessment. The preliminary results for Arsenic spatial distribution are introduced and discussed.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01T00:00:00Z
2023-02-07T12:20:38Z
2023-02-07
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://hdl.handle.net/10174/33953
http://hdl.handle.net/10174/33953
url http://hdl.handle.net/10174/33953
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv VICQ, R., ALBUQUERQUE, T., FONSECA, R., LEITE, M. (2020) Catastrophe Vulnerability and Risk Mapping in the Iron Quadrangle, Brazil – Preliminary Results in the Rio das Velhas Watershed. In: Pope, J., Wolkersdorfer, C., Sartz, L., Weber, A., Wolkersdorfer, K. (Eds.) Mine Water Solutions, IMWA 2020, pp. 13-19.
raphaelvicq@gmail.com
teresal@ipcb.pt
rfonseca@uevora.pt
nd
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv International Mine Water Association
publisher.none.fl_str_mv International Mine Water Association
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799136708267081728