Geoprocessing Applied to the Determination of Susceptibility Index Funding for Tubular Wells of the Serra Geral System in Frederico Westphalen -- Rio Grande do Sul
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Anuário do Instituto de Geociências (Online) |
Texto Completo: | https://revistas.ufrj.br/index.php/aigeo/article/view/7017 |
Resumo: | The issue related to the contamination of the superficial and underground water resources, associated to the lack of environmental monitoring, instigates researchers and professionals to seek new information and methods to promote a proper management. Thus, searching for a better understanding of the susceptibility to contamination of groundwater resources in the city of Frederico Westphalen -RS, Rio Grande do Sul, Brazil, and its potential sources of contamination. This work combines the methodologies of Susceptibility Index (IS) with the Pollutant Origin Surcharge Hydraulically (POSH) system through geoprocessing tools. For this, it has built up a database of hydrogeological information based on System Groundwater Information (SIAGAS) from the Geological Service of Brazil, to the depth parameters of water level and the material of the aquifer. Also, there has been raised information of relief and land use from the images provided by the United States Geological Survey (USGS). From this information, we determined the IS and applied the POSH method for the determination of potential sources of pollution load generation from the local aquifer. The results showed an IS ranging from low to very low in 14% of the city, moderately low in 55%, moderate high at 30% and higher by 1%, with the largest classes found east of the city mainly in the areas of agricultural crops subsistence. The use of POSH method indicated that the potential sources of contaminant load generation are located in areas of moderate to high susceptibility to contamination. These being areas more susceptible to contamination from diffuse sources, depending on annual crops of surface and groundwater sources. Therefore, it was concluded that the geoprocessing techniques applied in the relationship between the IS and POSH, optimize the identification of potential sites and sources of groundwater pollution, being useful in monitoring and environmental planning. |
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Geoprocessing Applied to the Determination of Susceptibility Index Funding for Tubular Wells of the Serra Geral System in Frederico Westphalen -- Rio Grande do SulGeoprocessamento Aplicado à Determinação do Índice de Susceptibilidade das Captações por Poços Tubulares do Sistema Aquífero Serra Geral em Frederico Westphalen -- Rio Grande do SulGroundwater; Contamination; POSH.Água Subterrânea; Contaminação; POSH.The issue related to the contamination of the superficial and underground water resources, associated to the lack of environmental monitoring, instigates researchers and professionals to seek new information and methods to promote a proper management. Thus, searching for a better understanding of the susceptibility to contamination of groundwater resources in the city of Frederico Westphalen -RS, Rio Grande do Sul, Brazil, and its potential sources of contamination. This work combines the methodologies of Susceptibility Index (IS) with the Pollutant Origin Surcharge Hydraulically (POSH) system through geoprocessing tools. For this, it has built up a database of hydrogeological information based on System Groundwater Information (SIAGAS) from the Geological Service of Brazil, to the depth parameters of water level and the material of the aquifer. Also, there has been raised information of relief and land use from the images provided by the United States Geological Survey (USGS). From this information, we determined the IS and applied the POSH method for the determination of potential sources of pollution load generation from the local aquifer. The results showed an IS ranging from low to very low in 14% of the city, moderately low in 55%, moderate high at 30% and higher by 1%, with the largest classes found east of the city mainly in the areas of agricultural crops subsistence. The use of POSH method indicated that the potential sources of contaminant load generation are located in areas of moderate to high susceptibility to contamination. These being areas more susceptible to contamination from diffuse sources, depending on annual crops of surface and groundwater sources. Therefore, it was concluded that the geoprocessing techniques applied in the relationship between the IS and POSH, optimize the identification of potential sites and sources of groundwater pollution, being useful in monitoring and environmental planning.A problemática relacionada à contaminação dos recursos hídricos superficiais e subterrâneos, associada à falta de monitoramento do ambiente, instigam pesquisadores e profissionais pela busca de novas fontes de informações e métodos que visem promover sua gestão adequada. Deste modo, buscando um maior conhecimento sobre a suscetibilidade à contaminação dos recursos hídricos subterrâneos do município de Frederico WestphalenRio Grande do Sul, Brasil, e suas potenciais fontes de contaminação. Esse trabalho combina as metodologias do Índice de Susceptibilidade (IS) com o sistema Pollutant Origin Surcharge Hydraulically (POSH), por meio de ferramentas de geoprocessamento. Para isto, construiu-se um banco de informações hidrogeológicas com base no Sistema de Informações de Águas Subterrâneas (SIAGAS) do Serviço Geológico do Brasil, para os parâmetros profundidade do nível d'água e o material do aquífero. Ainda, foram levantadas informações de relevo e uso do solo a partir das imagens disponibilizadas pelo United States Geological Survey (USGS). A partir destas informações, foi determinado o IS e aplicado o método POSH para a determinação das fontes potenciais de geração de carga poluidora do aquífero local. Os resultados apresentaram um IS variando entre baixo e muito baixo em 14 % do município, moderado baixo em 55 %, moderado alto em 30% e elevado em 1 %, sendo as maiores classes encontradas ao leste do município principalmente nas áreas de cultivos agrícolas de subsistência. O emprego do método POSH indicou que as fontes potenciais de geração de carga contaminante estão localizadas nas áreas de moderada a alta susceptibilidade à contaminação, sendo essas áreas, mais sujeitas a contaminação de origem difusa, em função dos cultivos anuais, dos mananciais superficiais e subterrâneos. Portanto, conclui-se que as técnicas de Geoprocessamento, aplicadas na associação entre o IS e POSH, otimizam a identificação dos potenciais locais e fontes de poluição das águas subterrâneas, sendo úteis no monitoramento e planejamento do ambiente.Universidade Federal do Rio de Janeiro2016-10-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/701710.11137/2016_3_79_88Anuário do Instituto de Geociências; Vol 39, No 3 (2016); 79-88Anuário do Instituto de Geociências; Vol 39, No 3 (2016); 79-881982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJporhttps://revistas.ufrj.br/index.php/aigeo/article/view/7017/5584Copyright (c) 2016 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBorba, Willian Fernando deSilva, José Luiz Silvério daAllasia, Daniel GustavoRosa, Cristiano Niederauer daFavaretto, Jean RicardoRibeiro, Luis Filipe Tavares2017-02-15T18:21:53Zoai:www.revistas.ufrj.br:article/7017Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2017-02-15T18:21:53Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Geoprocessing Applied to the Determination of Susceptibility Index Funding for Tubular Wells of the Serra Geral System in Frederico Westphalen -- Rio Grande do Sul Geoprocessamento Aplicado à Determinação do Índice de Susceptibilidade das Captações por Poços Tubulares do Sistema Aquífero Serra Geral em Frederico Westphalen -- Rio Grande do Sul |
title |
Geoprocessing Applied to the Determination of Susceptibility Index Funding for Tubular Wells of the Serra Geral System in Frederico Westphalen -- Rio Grande do Sul |
spellingShingle |
Geoprocessing Applied to the Determination of Susceptibility Index Funding for Tubular Wells of the Serra Geral System in Frederico Westphalen -- Rio Grande do Sul Borba, Willian Fernando de Groundwater; Contamination; POSH. Água Subterrânea; Contaminação; POSH. |
title_short |
Geoprocessing Applied to the Determination of Susceptibility Index Funding for Tubular Wells of the Serra Geral System in Frederico Westphalen -- Rio Grande do Sul |
title_full |
Geoprocessing Applied to the Determination of Susceptibility Index Funding for Tubular Wells of the Serra Geral System in Frederico Westphalen -- Rio Grande do Sul |
title_fullStr |
Geoprocessing Applied to the Determination of Susceptibility Index Funding for Tubular Wells of the Serra Geral System in Frederico Westphalen -- Rio Grande do Sul |
title_full_unstemmed |
Geoprocessing Applied to the Determination of Susceptibility Index Funding for Tubular Wells of the Serra Geral System in Frederico Westphalen -- Rio Grande do Sul |
title_sort |
Geoprocessing Applied to the Determination of Susceptibility Index Funding for Tubular Wells of the Serra Geral System in Frederico Westphalen -- Rio Grande do Sul |
author |
Borba, Willian Fernando de |
author_facet |
Borba, Willian Fernando de Silva, José Luiz Silvério da Allasia, Daniel Gustavo Rosa, Cristiano Niederauer da Favaretto, Jean Ricardo Ribeiro, Luis Filipe Tavares |
author_role |
author |
author2 |
Silva, José Luiz Silvério da Allasia, Daniel Gustavo Rosa, Cristiano Niederauer da Favaretto, Jean Ricardo Ribeiro, Luis Filipe Tavares |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Borba, Willian Fernando de Silva, José Luiz Silvério da Allasia, Daniel Gustavo Rosa, Cristiano Niederauer da Favaretto, Jean Ricardo Ribeiro, Luis Filipe Tavares |
dc.subject.por.fl_str_mv |
Groundwater; Contamination; POSH. Água Subterrânea; Contaminação; POSH. |
topic |
Groundwater; Contamination; POSH. Água Subterrânea; Contaminação; POSH. |
description |
The issue related to the contamination of the superficial and underground water resources, associated to the lack of environmental monitoring, instigates researchers and professionals to seek new information and methods to promote a proper management. Thus, searching for a better understanding of the susceptibility to contamination of groundwater resources in the city of Frederico Westphalen -RS, Rio Grande do Sul, Brazil, and its potential sources of contamination. This work combines the methodologies of Susceptibility Index (IS) with the Pollutant Origin Surcharge Hydraulically (POSH) system through geoprocessing tools. For this, it has built up a database of hydrogeological information based on System Groundwater Information (SIAGAS) from the Geological Service of Brazil, to the depth parameters of water level and the material of the aquifer. Also, there has been raised information of relief and land use from the images provided by the United States Geological Survey (USGS). From this information, we determined the IS and applied the POSH method for the determination of potential sources of pollution load generation from the local aquifer. The results showed an IS ranging from low to very low in 14% of the city, moderately low in 55%, moderate high at 30% and higher by 1%, with the largest classes found east of the city mainly in the areas of agricultural crops subsistence. The use of POSH method indicated that the potential sources of contaminant load generation are located in areas of moderate to high susceptibility to contamination. These being areas more susceptible to contamination from diffuse sources, depending on annual crops of surface and groundwater sources. Therefore, it was concluded that the geoprocessing techniques applied in the relationship between the IS and POSH, optimize the identification of potential sites and sources of groundwater pollution, being useful in monitoring and environmental planning. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-10-03 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/7017 10.11137/2016_3_79_88 |
url |
https://revistas.ufrj.br/index.php/aigeo/article/view/7017 |
identifier_str_mv |
10.11137/2016_3_79_88 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/7017/5584 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
dc.source.none.fl_str_mv |
Anuário do Instituto de Geociências; Vol 39, No 3 (2016); 79-88 Anuário do Instituto de Geociências; Vol 39, No 3 (2016); 79-88 1982-3908 0101-9759 reponame:Anuário do Instituto de Geociências (Online) instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Anuário do Instituto de Geociências (Online) |
collection |
Anuário do Instituto de Geociências (Online) |
repository.name.fl_str_mv |
Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
anuario@igeo.ufrj.br|| |
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1797053537409040384 |