Evaluation of interpolators for aquifer vulnerability study: The case of the Santa Maria River Basin
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Verde de Agroecologia e Desenvolvimento Sustentavel |
Texto Completo: | https://www.gvaa.com.br/revista/index.php/RVADS/article/view/4959 |
Resumo: | Studies evaluating the natural vulnerability of aquifers have relevant importance for the knowledge of subject environmental contamination areas. The correct application in vulnerability maps needs constant studies, aiming the improvement of the analyzes and the development of representative maps of the studied areas. The objective of this study was to evaluate the performance of different models for the interpolation of environmental indicators of aquifer vulnerability using the kriging technique. The study was carried out in the Santa Maria River Basin by analyzing the hydrogeological aspects of 255 tube wells, located in six municipalities in the southwest of the State of Rio Grande do Sul. The data indicated that the high vulnerability class prevailed in 47,45% of the evaluated wells, followed by the medium vulnerability class corresponding to 23,14%; the low vulnerability represented 14,50%, the extreme vulnerability class corresponded to 7,85% and insignificant indicated 7,05%. The spherical, exponential, gaussian and linear models were used to interpolate the data, to define the best fit from the application of the semivariogram function. The adjustments were evaluated through the least squares method, which evidenced the best approach from the spherical model among the tested models. The spatial distribution of vulnerability demonstrated the predominance of high vulnerability in the southern portion of the municipality of Santana do Livramento, central portion of Rosário do Sul, north and northeast of São Gabriel and center of Lavras do Sul. In some areas of the basin, in municipalities of Santana do Livramento and Lavras do Sul was found the class of extreme vulnerability aquifer. |
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Evaluation of interpolators for aquifer vulnerability study: The case of the Santa Maria River BasinAvaliação de interpoladores para o estudo de vulnerabilidade aquífera: O caso da Bacia do Rio Santa MariaGroundwaterContaminationSemivariogramKrigingÁgua subterrâneaContaminaçãoSemivariogramaKrigagemStudies evaluating the natural vulnerability of aquifers have relevant importance for the knowledge of subject environmental contamination areas. The correct application in vulnerability maps needs constant studies, aiming the improvement of the analyzes and the development of representative maps of the studied areas. The objective of this study was to evaluate the performance of different models for the interpolation of environmental indicators of aquifer vulnerability using the kriging technique. The study was carried out in the Santa Maria River Basin by analyzing the hydrogeological aspects of 255 tube wells, located in six municipalities in the southwest of the State of Rio Grande do Sul. The data indicated that the high vulnerability class prevailed in 47,45% of the evaluated wells, followed by the medium vulnerability class corresponding to 23,14%; the low vulnerability represented 14,50%, the extreme vulnerability class corresponded to 7,85% and insignificant indicated 7,05%. The spherical, exponential, gaussian and linear models were used to interpolate the data, to define the best fit from the application of the semivariogram function. The adjustments were evaluated through the least squares method, which evidenced the best approach from the spherical model among the tested models. The spatial distribution of vulnerability demonstrated the predominance of high vulnerability in the southern portion of the municipality of Santana do Livramento, central portion of Rosário do Sul, north and northeast of São Gabriel and center of Lavras do Sul. In some areas of the basin, in municipalities of Santana do Livramento and Lavras do Sul was found the class of extreme vulnerability aquifer.Estudos de avaliação da vulnerabilidade natural de aquíferos são de relevante importância para o conhecimento de áreas sujeitas à contaminação ambiental. A correta aplicação em mapas de vulnerabilidade necessita de estudos constantes, visando o aperfeiçoamento das análises e o desenvolvimento de mapas representativos das áreas estudadas. Objetivou-se, neste contexto, avaliar o desempenho de diferentes modelos para a interpolação de indicadores ambientais de vulnerabilidade aquífera, utilizando a técnica de krigagem. O estudo procedeu-se na Bacia Hidrográfica do Rio Santa Maria por meio da análise dos aspectos hidrogeológicos de 255 poços tubulares, localizados em seis municípios no sudoeste do Estado do Rio Grande do Sul. Os dados indicaram que a classe de alta vulnerabilidade predominou em 47,45% dos poços avaliados, seguida da classe de média vulnerabilidade correspondendo a 23,14%; a baixa vulnerabilidade representou 14,50%, a classe de extrema vulnerabilidade aquífera correspondeu a 7,85% e a insignificante indicou 7,05%. Para interpolação dos dados, foram avaliados os modelos esférico, exponencial, gaussiano e linear, com o intuito de definir o melhor ajuste a partir da aplicação da função de semivariograma. Os ajustes foram avaliados através do método dos mínimos quadrados, que evidenciou a melhor abordagem a partir do modelo esférico dentre os modelos testados. A distribuição espacial da vulnerabilidade demonstrou o predomínio de alta vulnerabilidade na porção sul do município de Santana do Livramento, porção central de Rosário do Sul, norte e noroeste de São Gabriel e centro de Lavras do Sul. Em algumas áreas da bacia, nos municípios de Santana do Livramento e Lavras do Sul foi constatada a classe de extrema vulnerabilidade aquífera.Editora Verde2017-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfapplication/pdfimage/jpeghttps://www.gvaa.com.br/revista/index.php/RVADS/article/view/495910.18378/rvads.v12i4.4959Revista Verde de Agroecologia e Desenvolvimento Sustentável; Vol. 12 No. 4 (2017); 756 - 762Revista Verde de Agroecologia e Desenvolvimento Sustentável; Vol. 12 Núm. 4 (2017); 756 - 762Revista Verde de Agroecologia e Desenvolvimento Sustentável; v. 12 n. 4 (2017); 756 - 7621981-8203reponame:Revista Verde de Agroecologia e Desenvolvimento Sustentavelinstname:Grupo Verde de Agroecologia e Abelhas (GVAA)instacron:GVAAporhttps://www.gvaa.com.br/revista/index.php/RVADS/article/view/4959/4638https://www.gvaa.com.br/revista/index.php/RVADS/article/view/4959/4800https://www.gvaa.com.br/revista/index.php/RVADS/article/view/4959/9196https://www.gvaa.com.br/revista/index.php/RVADS/article/view/4959/9197Copyright (c) 2017 Thiago Boeno Patricio Luiz et al.info:eu-repo/semantics/openAccessLuiz, Thiago Boeno PatricioDescovi Filho, Leônidas Luiz VolcatoSilva, José Luiz Silvério da2021-06-14T13:14:37Zoai:ojs.gvaa.com.br:article/4959Revistahttps://www.gvaa.com.br/revista/index.php/RVADS/PUBhttps://www.gvaa.com.br/revista/index.php/RVADS/oairvadsgvaa@gmail.com || patriciomaracaja@gmail.com || revistaverde1@gmail.com || suporte@antsoft.com.br1981-82031981-8203opendoar:2024-03-06T12:59:20.326405Revista Verde de Agroecologia e Desenvolvimento Sustentavel - Grupo Verde de Agroecologia e Abelhas (GVAA)false |
dc.title.none.fl_str_mv |
Evaluation of interpolators for aquifer vulnerability study: The case of the Santa Maria River Basin Avaliação de interpoladores para o estudo de vulnerabilidade aquífera: O caso da Bacia do Rio Santa Maria |
title |
Evaluation of interpolators for aquifer vulnerability study: The case of the Santa Maria River Basin |
spellingShingle |
Evaluation of interpolators for aquifer vulnerability study: The case of the Santa Maria River Basin Luiz, Thiago Boeno Patricio Groundwater Contamination Semivariogram Kriging Água subterrânea Contaminação Semivariograma Krigagem |
title_short |
Evaluation of interpolators for aquifer vulnerability study: The case of the Santa Maria River Basin |
title_full |
Evaluation of interpolators for aquifer vulnerability study: The case of the Santa Maria River Basin |
title_fullStr |
Evaluation of interpolators for aquifer vulnerability study: The case of the Santa Maria River Basin |
title_full_unstemmed |
Evaluation of interpolators for aquifer vulnerability study: The case of the Santa Maria River Basin |
title_sort |
Evaluation of interpolators for aquifer vulnerability study: The case of the Santa Maria River Basin |
author |
Luiz, Thiago Boeno Patricio |
author_facet |
Luiz, Thiago Boeno Patricio Descovi Filho, Leônidas Luiz Volcato Silva, José Luiz Silvério da |
author_role |
author |
author2 |
Descovi Filho, Leônidas Luiz Volcato Silva, José Luiz Silvério da |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Luiz, Thiago Boeno Patricio Descovi Filho, Leônidas Luiz Volcato Silva, José Luiz Silvério da |
dc.subject.por.fl_str_mv |
Groundwater Contamination Semivariogram Kriging Água subterrânea Contaminação Semivariograma Krigagem |
topic |
Groundwater Contamination Semivariogram Kriging Água subterrânea Contaminação Semivariograma Krigagem |
description |
Studies evaluating the natural vulnerability of aquifers have relevant importance for the knowledge of subject environmental contamination areas. The correct application in vulnerability maps needs constant studies, aiming the improvement of the analyzes and the development of representative maps of the studied areas. The objective of this study was to evaluate the performance of different models for the interpolation of environmental indicators of aquifer vulnerability using the kriging technique. The study was carried out in the Santa Maria River Basin by analyzing the hydrogeological aspects of 255 tube wells, located in six municipalities in the southwest of the State of Rio Grande do Sul. The data indicated that the high vulnerability class prevailed in 47,45% of the evaluated wells, followed by the medium vulnerability class corresponding to 23,14%; the low vulnerability represented 14,50%, the extreme vulnerability class corresponded to 7,85% and insignificant indicated 7,05%. The spherical, exponential, gaussian and linear models were used to interpolate the data, to define the best fit from the application of the semivariogram function. The adjustments were evaluated through the least squares method, which evidenced the best approach from the spherical model among the tested models. The spatial distribution of vulnerability demonstrated the predominance of high vulnerability in the southern portion of the municipality of Santana do Livramento, central portion of Rosário do Sul, north and northeast of São Gabriel and center of Lavras do Sul. In some areas of the basin, in municipalities of Santana do Livramento and Lavras do Sul was found the class of extreme vulnerability aquifer. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-10-01 |
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://www.gvaa.com.br/revista/index.php/RVADS/article/view/4959 10.18378/rvads.v12i4.4959 |
url |
https://www.gvaa.com.br/revista/index.php/RVADS/article/view/4959 |
identifier_str_mv |
10.18378/rvads.v12i4.4959 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.gvaa.com.br/revista/index.php/RVADS/article/view/4959/4638 https://www.gvaa.com.br/revista/index.php/RVADS/article/view/4959/4800 https://www.gvaa.com.br/revista/index.php/RVADS/article/view/4959/9196 https://www.gvaa.com.br/revista/index.php/RVADS/article/view/4959/9197 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Thiago Boeno Patricio Luiz et al. info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Thiago Boeno Patricio Luiz et al. |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html application/pdf application/pdf image/jpeg |
dc.publisher.none.fl_str_mv |
Editora Verde |
publisher.none.fl_str_mv |
Editora Verde |
dc.source.none.fl_str_mv |
Revista Verde de Agroecologia e Desenvolvimento Sustentável; Vol. 12 No. 4 (2017); 756 - 762 Revista Verde de Agroecologia e Desenvolvimento Sustentável; Vol. 12 Núm. 4 (2017); 756 - 762 Revista Verde de Agroecologia e Desenvolvimento Sustentável; v. 12 n. 4 (2017); 756 - 762 1981-8203 reponame:Revista Verde de Agroecologia e Desenvolvimento Sustentavel instname:Grupo Verde de Agroecologia e Abelhas (GVAA) instacron:GVAA |
instname_str |
Grupo Verde de Agroecologia e Abelhas (GVAA) |
instacron_str |
GVAA |
institution |
GVAA |
reponame_str |
Revista Verde de Agroecologia e Desenvolvimento Sustentavel |
collection |
Revista Verde de Agroecologia e Desenvolvimento Sustentavel |
repository.name.fl_str_mv |
Revista Verde de Agroecologia e Desenvolvimento Sustentavel - Grupo Verde de Agroecologia e Abelhas (GVAA) |
repository.mail.fl_str_mv |
rvadsgvaa@gmail.com || patriciomaracaja@gmail.com || revistaverde1@gmail.com || suporte@antsoft.com.br |
_version_ |
1798948090984529920 |