A framework model to determine groundwater contamination risk based on a L-Matrix of aquifer vulnerability and hazardous activity indices
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , |
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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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/openAccess2024-06-06T15:18:17Zoai:repositorio.unesp.br:11449/249175Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:06:29.562766Repositório 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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_version_ |
1808128756446920704 |