Effect of pollution on physical and chemical water data: a multivariate statistical analysis
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Publication Date: | 2023 |
Other Authors: | , , , , |
Format: | Article |
Language: | eng |
Source: | GeSec |
Download full: | https://ojs.revistagesec.org.br/secretariado/article/view/2125 |
Summary: | This study aimed to show the importance and functionality of the tools of multivariate statistics in the environmental area, and more specifically on 13 water collection points of the Subaé River in the municipality of Feira de Santana, Bahia, an important Industrial Pole in the region, carried out with 3 samplings. To achieve this objective, applied research of exploratory nature and quantitative approach was carried out. As method and technical procedures were adopted, respectively, the bibliographic review, and a case study. As a contribution of this research, it is pointed out the holistic view of opportunities to carry out new research on the subject in question with the tools presented. |
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Effect of pollution on physical and chemical water data: a multivariate statistical analysisStatistical SoftwareMultivariate StatisticsDendogramPCAThis study aimed to show the importance and functionality of the tools of multivariate statistics in the environmental area, and more specifically on 13 water collection points of the Subaé River in the municipality of Feira de Santana, Bahia, an important Industrial Pole in the region, carried out with 3 samplings. To achieve this objective, applied research of exploratory nature and quantitative approach was carried out. As method and technical procedures were adopted, respectively, the bibliographic review, and a case study. As a contribution of this research, it is pointed out the holistic view of opportunities to carry out new research on the subject in question with the tools presented.Revista de Gestão e Secretariado2023-05-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.revistagesec.org.br/secretariado/article/view/212510.7769/gesec.v14i5.2125Revista de Gestão e Secretariado (Management and Administrative Professional Review); Vol. 14 No. 5 (2023): Revista de Gestão e Secretariado v.14, n.5, 2023; 7353-7366Revista de Gestão e Secretariado; Vol. 14 Núm. 5 (2023): Revista de Gestão e Secretariado v.14, n.5, 2023; 7353-7366Revista de Gestão e Secretariado; v. 14 n. 5 (2023): Revista de Gestão e Secretariado v.14, n.5, 2023; 7353-73662178-9010reponame:GeSecinstname:Sindicato das Secretárias do Estado de São Paulo (SINSESP)instacron:SINSESPenghttps://ojs.revistagesec.org.br/secretariado/article/view/2125/1110Fonseca, DangelysCorrea, Marcus Paulo de OliveiraSantos, Ramona RodriguesCardoso, Ronald PalandiReis, José Salvador da MottaSampaio, Nilo Antonio de Souzainfo:eu-repo/semantics/openAccess2023-05-11T10:27:39Zoai:ojs2.revistagesec.org.br:article/2125Revistahttps://www.revistagesec.org.br/ONGhttps://ojs.revistagesec.org.br/secretariado/oaieditor@revistagesec.org.br | gestoreditorial@revistagesec.org.br | rf.sabino@gmail.com2178-90102178-9010opendoar:2023-05-11T10:27:39GeSec - Sindicato das Secretárias do Estado de São Paulo (SINSESP)false |
dc.title.none.fl_str_mv |
Effect of pollution on physical and chemical water data: a multivariate statistical analysis |
title |
Effect of pollution on physical and chemical water data: a multivariate statistical analysis |
spellingShingle |
Effect of pollution on physical and chemical water data: a multivariate statistical analysis Fonseca, Dangelys Statistical Software Multivariate Statistics Dendogram PCA |
title_short |
Effect of pollution on physical and chemical water data: a multivariate statistical analysis |
title_full |
Effect of pollution on physical and chemical water data: a multivariate statistical analysis |
title_fullStr |
Effect of pollution on physical and chemical water data: a multivariate statistical analysis |
title_full_unstemmed |
Effect of pollution on physical and chemical water data: a multivariate statistical analysis |
title_sort |
Effect of pollution on physical and chemical water data: a multivariate statistical analysis |
author |
Fonseca, Dangelys |
author_facet |
Fonseca, Dangelys Correa, Marcus Paulo de Oliveira Santos, Ramona Rodrigues Cardoso, Ronald Palandi Reis, José Salvador da Motta Sampaio, Nilo Antonio de Souza |
author_role |
author |
author2 |
Correa, Marcus Paulo de Oliveira Santos, Ramona Rodrigues Cardoso, Ronald Palandi Reis, José Salvador da Motta Sampaio, Nilo Antonio de Souza |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Fonseca, Dangelys Correa, Marcus Paulo de Oliveira Santos, Ramona Rodrigues Cardoso, Ronald Palandi Reis, José Salvador da Motta Sampaio, Nilo Antonio de Souza |
dc.subject.por.fl_str_mv |
Statistical Software Multivariate Statistics Dendogram PCA |
topic |
Statistical Software Multivariate Statistics Dendogram PCA |
description |
This study aimed to show the importance and functionality of the tools of multivariate statistics in the environmental area, and more specifically on 13 water collection points of the Subaé River in the municipality of Feira de Santana, Bahia, an important Industrial Pole in the region, carried out with 3 samplings. To achieve this objective, applied research of exploratory nature and quantitative approach was carried out. As method and technical procedures were adopted, respectively, the bibliographic review, and a case study. As a contribution of this research, it is pointed out the holistic view of opportunities to carry out new research on the subject in question with the tools presented. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-05-10 |
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://ojs.revistagesec.org.br/secretariado/article/view/2125 10.7769/gesec.v14i5.2125 |
url |
https://ojs.revistagesec.org.br/secretariado/article/view/2125 |
identifier_str_mv |
10.7769/gesec.v14i5.2125 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://ojs.revistagesec.org.br/secretariado/article/view/2125/1110 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Revista de Gestão e Secretariado |
publisher.none.fl_str_mv |
Revista de Gestão e Secretariado |
dc.source.none.fl_str_mv |
Revista de Gestão e Secretariado (Management and Administrative Professional Review); Vol. 14 No. 5 (2023): Revista de Gestão e Secretariado v.14, n.5, 2023; 7353-7366 Revista de Gestão e Secretariado; Vol. 14 Núm. 5 (2023): Revista de Gestão e Secretariado v.14, n.5, 2023; 7353-7366 Revista de Gestão e Secretariado; v. 14 n. 5 (2023): Revista de Gestão e Secretariado v.14, n.5, 2023; 7353-7366 2178-9010 reponame:GeSec instname:Sindicato das Secretárias do Estado de São Paulo (SINSESP) instacron:SINSESP |
instname_str |
Sindicato das Secretárias do Estado de São Paulo (SINSESP) |
instacron_str |
SINSESP |
institution |
SINSESP |
reponame_str |
GeSec |
collection |
GeSec |
repository.name.fl_str_mv |
GeSec - Sindicato das Secretárias do Estado de São Paulo (SINSESP) |
repository.mail.fl_str_mv |
editor@revistagesec.org.br | gestoreditorial@revistagesec.org.br | rf.sabino@gmail.com |
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1838625559840555008 |