A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices

Detalhes bibliográficos
Autor(a) principal: Pacheco, Fernando António Leal
Data de Publicação: 2022
Outros Autores: Lima, Victor Hugo Sarrazin, Pissarra, Teresa Cristina Tarlé [UNESP], do Valle Junior, Renato Farias, Silva, Maytê Maria Abreu Pires de Melo, de Melo, Marília Carvalho, Valera, Carlos Alberto, Moura, João Paulo, Fernandes, Luís Filipe Sanches
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.mex.2022.101858
http://hdl.handle.net/11449/249175
Resumo: The method presented in this study assesses groundwater contamination risk using a L-Matrix system approach. The L-Matrix in this case is a cartesian diagram where the XX-axis represents aquifer vulnerability (0≤V≤1) determined by the well-known DRASTIC model, and the YY-axis represents the potential hazardousness (0≤H≤1) of an activity (infrastructural development, industrial activities, livestock and agriculture) measured by a European Commission approach. The diagram is divided into four regions, the boundaries of which are set to V = 0.5 and H = 0.5. Watersheds are represented in this diagram considering their V and H indices, and assigned a potential contamination risk if groundwater sites located within their limits show contaminant concentrations above legal limits for a given use. Depending on the region the watershed falls in the L-Matrix diagram, different management or contamination prevention actions are highlighted: activity development, activity monitoring, activity planning or activity inspecting. Watersheds located in the inspecting region and simultaneously evidencing contamination risk require immediate action, namely conditioning or even suspension of use. The method is tested in the Paraopeba River basin (Minas Gerais, Brazil), a densely industrialized basin that was recently affected by an iron-ore mine tailings dam break. • The L-Matrix diagram highlights different groundwater susceptibility realities experienced by watersheds with different combinations of aquifer vulnerability and activity hazardousness, namely possibility for potential expansion of new hazardous activities but also the necessity to periodically inspect and eventually condition or suspend others. • The L-Matrix diagram is likely a better approach to implement contamination prevention measures in watersheds, than the integrated contamination risk index used by most methods.
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spelling A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indicesA framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indicesAquiferContamination likelihoodPotentially harmful activityThe method presented in this study assesses groundwater contamination risk using a L-Matrix system approach. The L-Matrix in this case is a cartesian diagram where the XX-axis represents aquifer vulnerability (0≤V≤1) determined by the well-known DRASTIC model, and the YY-axis represents the potential hazardousness (0≤H≤1) of an activity (infrastructural development, industrial activities, livestock and agriculture) measured by a European Commission approach. The diagram is divided into four regions, the boundaries of which are set to V = 0.5 and H = 0.5. Watersheds are represented in this diagram considering their V and H indices, and assigned a potential contamination risk if groundwater sites located within their limits show contaminant concentrations above legal limits for a given use. Depending on the region the watershed falls in the L-Matrix diagram, different management or contamination prevention actions are highlighted: activity development, activity monitoring, activity planning or activity inspecting. Watersheds located in the inspecting region and simultaneously evidencing contamination risk require immediate action, namely conditioning or even suspension of use. The method is tested in the Paraopeba River basin (Minas Gerais, Brazil), a densely industrialized basin that was recently affected by an iron-ore mine tailings dam break. • The L-Matrix diagram highlights different groundwater susceptibility realities experienced by watersheds with different combinations of aquifer vulnerability and activity hazardousness, namely possibility for potential expansion of new hazardous activities but also the necessity to periodically inspect and eventually condition or suspend others. • The L-Matrix diagram is likely a better approach to implement contamination prevention measures in watersheds, than the integrated contamination risk index used by most methods.CQVR - Chemistry Centre of Vila Real University of Trás-os-Montes and Alto Douro (UTAD), Ap. 1013,5001–801University of Trás-os-Montes and Alto Douro (UTAD), Ap. 1013,5001–801Faculty of Agrarian and Veterinary Sciences (FCAV) State University of São Paulo (UNESP), Via Prof. Paulo Donato Castellane, s/n, Jaboticabal SP 14884-900Federal Institute of Triângulo Mineiro (IFTM) Uberaba Campus Geoprocessing Laboratory, MG 38064-790Secretaria de Estado de Meio Ambiente e Desenvolvimento Sustentável Cidade Administrativa do Estado de Minas Gerais, Rodovia João Paulo II, 4143, Bairro Serra Verde, Minas GeraisCoordenadoria Regional das Promotorias de Justiça do Meio Ambiente das Bacias dos Rios Paranaíba e Baixo Rio Grande Rua Coronel Antônio Rios, 951, Uberaba, MG 38061-150CITAB - Centre for the Research and Technology of Agro-Environmental and Biological Sciences University of Trás-os-Montes and Alto Douro (UTAD), Ap. 1013,5001–801Faculty of Agrarian and Veterinary Sciences (FCAV) State University of São Paulo (UNESP), Via Prof. Paulo Donato Castellane, s/n, Jaboticabal SP 14884-900University of Trás-os-Montes and Alto Douro (UTAD)Universidade Estadual Paulista (UNESP)Geoprocessing LaboratoryCidade Administrativa do Estado de Minas GeraisRua Coronel Antônio RiosPacheco, Fernando António LealLima, Victor Hugo SarrazinPissarra, Teresa Cristina Tarlé [UNESP]do Valle Junior, Renato FariasSilva, Maytê Maria Abreu Pires de Melode Melo, Marília CarvalhoValera, Carlos AlbertoMoura, João PauloFernandes, Luís Filipe Sanches2023-07-29T14:12:19Z2023-07-29T14:12:19Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.mex.2022.101858MethodsX, v. 9.2215-0161http://hdl.handle.net/11449/24917510.1016/j.mex.2022.1018582-s2.0-85138536722Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMethodsXinfo:eu-repo/semantics/openAccess2023-07-29T14:12:19Zoai:repositorio.unesp.br:11449/249175Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T14:12:19Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
title A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
spellingShingle A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
Pacheco, Fernando António Leal
A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
Aquifer
Contamination likelihood
Potentially harmful activity
title_short A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
title_full A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
title_fullStr A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
title_full_unstemmed A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
title_sort A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
author Pacheco, Fernando António Leal
author_facet Pacheco, Fernando António Leal
Lima, Victor Hugo Sarrazin
Pissarra, Teresa Cristina Tarlé [UNESP]
do Valle Junior, Renato Farias
Silva, Maytê Maria Abreu Pires de Melo
de Melo, Marília Carvalho
Valera, Carlos Alberto
Moura, João Paulo
Fernandes, Luís Filipe Sanches
author_role author
author2 Lima, Victor Hugo Sarrazin
Pissarra, Teresa Cristina Tarlé [UNESP]
do Valle Junior, Renato Farias
Silva, Maytê Maria Abreu Pires de Melo
de Melo, Marília Carvalho
Valera, Carlos Alberto
Moura, João Paulo
Fernandes, Luís Filipe Sanches
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv University of Trás-os-Montes and Alto Douro (UTAD)
Universidade Estadual Paulista (UNESP)
Geoprocessing Laboratory
Cidade Administrativa do Estado de Minas Gerais
Rua Coronel Antônio Rios
dc.contributor.author.fl_str_mv Pacheco, Fernando António Leal
Lima, Victor Hugo Sarrazin
Pissarra, Teresa Cristina Tarlé [UNESP]
do Valle Junior, Renato Farias
Silva, Maytê Maria Abreu Pires de Melo
de Melo, Marília Carvalho
Valera, Carlos Alberto
Moura, João Paulo
Fernandes, Luís Filipe Sanches
dc.subject.por.fl_str_mv A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
Aquifer
Contamination likelihood
Potentially harmful activity
topic A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
Aquifer
Contamination likelihood
Potentially harmful activity
description The method presented in this study assesses groundwater contamination risk using a L-Matrix system approach. The L-Matrix in this case is a cartesian diagram where the XX-axis represents aquifer vulnerability (0≤V≤1) determined by the well-known DRASTIC model, and the YY-axis represents the potential hazardousness (0≤H≤1) of an activity (infrastructural development, industrial activities, livestock and agriculture) measured by a European Commission approach. The diagram is divided into four regions, the boundaries of which are set to V = 0.5 and H = 0.5. Watersheds are represented in this diagram considering their V and H indices, and assigned a potential contamination risk if groundwater sites located within their limits show contaminant concentrations above legal limits for a given use. Depending on the region the watershed falls in the L-Matrix diagram, different management or contamination prevention actions are highlighted: activity development, activity monitoring, activity planning or activity inspecting. Watersheds located in the inspecting region and simultaneously evidencing contamination risk require immediate action, namely conditioning or even suspension of use. The method is tested in the Paraopeba River basin (Minas Gerais, Brazil), a densely industrialized basin that was recently affected by an iron-ore mine tailings dam break. • The L-Matrix diagram highlights different groundwater susceptibility realities experienced by watersheds with different combinations of aquifer vulnerability and activity hazardousness, namely possibility for potential expansion of new hazardous activities but also the necessity to periodically inspect and eventually condition or suspend others. • The L-Matrix diagram is likely a better approach to implement contamination prevention measures in watersheds, than the integrated contamination risk index used by most methods.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-07-29T14:12:19Z
2023-07-29T14:12:19Z
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.mex.2022.101858
MethodsX, v. 9.
2215-0161
http://hdl.handle.net/11449/249175
10.1016/j.mex.2022.101858
2-s2.0-85138536722
url http://dx.doi.org/10.1016/j.mex.2022.101858
http://hdl.handle.net/11449/249175
identifier_str_mv MethodsX, v. 9.
2215-0161
10.1016/j.mex.2022.101858
2-s2.0-85138536722
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv MethodsX
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
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
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