MULTIVARIATE STATISTICS APPLIED TO IRRIGATION WATER QUALITY DATA OF A WATERSHED IN THE SEMIARID REGION OF BRAZIL
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Caatinga |
Texto Completo: | https://periodicos.ufersa.edu.br/caatinga/article/view/9440 |
Resumo: | Water scarcity is one of the main problems in the Semiarid region of Brazil, which can be mitigated by water resource management strategies. The objective of this work was to classify waters of a watershed in the Semiarid region of Brazil and select the water attributes that most affect the quality of waters used for irrigation (QWI), using multivariate statistics. The study area was the Riacho da Bica watershed, which is between the municipalities of Portalegre and Viçosa, Rio Grande do Norte, Brazil. The QWI was determined using water samples from 15 collections carried out from 2016 to 2018, in five specific points of the watershed, starting in the spring and following the water course. The water attributes evaluated were: electrical conductivity (EC), potential hydrogen (pH), and sodium (Na+), potassium (K+), magnesium (Mg2+), calcium (Ca2+), carbonate (CO32-), chloride (Cl-), and bicarbonate (HCO3-) contents. The water quality data were subjected to multivariate statistics through factorial analysis (FA) and principal component analysis (PCA). The application of multivariate statistics through FA-PCA generated four principal components. The attributes that most explained the QWI variation were potassium, calcium, and pH for Factor 01, and sodium and RAS for Factor 02. The watershed waters were classified as low risk of salinity and medium risk of sodicity (C1S2) for irrigation purposes. |
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MULTIVARIATE STATISTICS APPLIED TO IRRIGATION WATER QUALITY DATA OF A WATERSHED IN THE SEMIARID REGION OF BRAZILESTATÍSTICA MULTIVARIADA APLICADA A QUALIDADE DA ÁGUA PARA IRRIGAÇÃO EM MICROBACIA PERENE DO SEMIÁRIDO BRASILEIRORecursos Hídricos. Salinidade. Agricultura.Water Resources. Salinity. Agriculture.Water scarcity is one of the main problems in the Semiarid region of Brazil, which can be mitigated by water resource management strategies. The objective of this work was to classify waters of a watershed in the Semiarid region of Brazil and select the water attributes that most affect the quality of waters used for irrigation (QWI), using multivariate statistics. The study area was the Riacho da Bica watershed, which is between the municipalities of Portalegre and Viçosa, Rio Grande do Norte, Brazil. The QWI was determined using water samples from 15 collections carried out from 2016 to 2018, in five specific points of the watershed, starting in the spring and following the water course. The water attributes evaluated were: electrical conductivity (EC), potential hydrogen (pH), and sodium (Na+), potassium (K+), magnesium (Mg2+), calcium (Ca2+), carbonate (CO32-), chloride (Cl-), and bicarbonate (HCO3-) contents. The water quality data were subjected to multivariate statistics through factorial analysis (FA) and principal component analysis (PCA). The application of multivariate statistics through FA-PCA generated four principal components. The attributes that most explained the QWI variation were potassium, calcium, and pH for Factor 01, and sodium and RAS for Factor 02. The watershed waters were classified as low risk of salinity and medium risk of sodicity (C1S2) for irrigation purposes. A escassez hídrica se configura como um dos principais problemas do semiárido, devendo ser mitigado pelas estratégias de gestão dos recursos hídricos. O objetivo desse trabalho foi classificar a água e utilizar a estatística multivariada, como uma ferramenta para selecionar os atributos que possuem maior influência na qualidade da água utilizada para fins de irrigação, em uma microbacia hidrográfica do semiárido brasileiro. Á área de estudo está inserida na microbacia hidrográfica do Riacho da Bica, entre os municípios de Portalegre-RN e Viçosa-RN. A determinação da qualidade da água para fins de irrigação foi realizada por meio de quinze campanhas de coleta de amostras de água em cinco pontos específicos do Riacho da Bica, iniciando na nascente e seguindo o curso d’água, no período de 2016 a 2018, sendo avaliados atributos como condutividade elétrica (CE), potencial hidrogeniônico (pH), sódio (Na+), potássio (K+), magnésio (Mg2+), cálcio (Ca2+), carbonato (CO32-), cloreto (Cl-), bicarbonato (HCO3-). Os dados de qualidade de água foram submetidos a estatística multivariada com a realização da análise fatorial (AF) e a análise de componentes principais (ACP). A aplicação da estatística multivariada, gerou através da ACP/AF, quatro componentes principais. O pH, potássio e cálcio foram os atributos que mais explicam a qualidade da água para irrigação para o Fator 01, para o Fator 02 os atributos sódio e RAS. A água da microbacia hidrográfica foi classificada para fins de irrigação como baixo risco de salinidade e médio risco de sodicidade (C1S2).Universidade Federal Rural do Semi-Árido2021-07-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufersa.edu.br/caatinga/article/view/9440REVISTA CAATINGA; Vol. 34 No. 3 (2021); 650-658Revista Caatinga; v. 34 n. 3 (2021); 650-6581983-21250100-316Xreponame:Revista Caatingainstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://periodicos.ufersa.edu.br/caatinga/article/view/9440/10707Copyright (c) 2021 Revista Caatingainfo:eu-repo/semantics/openAccessOliveira Júnior, Raimundo Fernandes deLemos Filho, Luis César de AquinoBatista, Rafael OliveiraFerreira, Larissa Luana NicodemosCosta, Lucas Ramos daCaminha, Mateus Pessoa2021-07-19T20:44:31Zoai:ojs.periodicos.ufersa.edu.br:article/9440Revistahttps://periodicos.ufersa.edu.br/index.php/caatinga/indexPUBhttps://periodicos.ufersa.edu.br/index.php/caatinga/oaipatricio@ufersa.edu.br|| caatinga@ufersa.edu.br1983-21250100-316Xopendoar:2021-07-19T20:44:31Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)false |
dc.title.none.fl_str_mv |
MULTIVARIATE STATISTICS APPLIED TO IRRIGATION WATER QUALITY DATA OF A WATERSHED IN THE SEMIARID REGION OF BRAZIL ESTATÍSTICA MULTIVARIADA APLICADA A QUALIDADE DA ÁGUA PARA IRRIGAÇÃO EM MICROBACIA PERENE DO SEMIÁRIDO BRASILEIRO |
title |
MULTIVARIATE STATISTICS APPLIED TO IRRIGATION WATER QUALITY DATA OF A WATERSHED IN THE SEMIARID REGION OF BRAZIL |
spellingShingle |
MULTIVARIATE STATISTICS APPLIED TO IRRIGATION WATER QUALITY DATA OF A WATERSHED IN THE SEMIARID REGION OF BRAZIL Oliveira Júnior, Raimundo Fernandes de Recursos Hídricos. Salinidade. Agricultura. Water Resources. Salinity. Agriculture. |
title_short |
MULTIVARIATE STATISTICS APPLIED TO IRRIGATION WATER QUALITY DATA OF A WATERSHED IN THE SEMIARID REGION OF BRAZIL |
title_full |
MULTIVARIATE STATISTICS APPLIED TO IRRIGATION WATER QUALITY DATA OF A WATERSHED IN THE SEMIARID REGION OF BRAZIL |
title_fullStr |
MULTIVARIATE STATISTICS APPLIED TO IRRIGATION WATER QUALITY DATA OF A WATERSHED IN THE SEMIARID REGION OF BRAZIL |
title_full_unstemmed |
MULTIVARIATE STATISTICS APPLIED TO IRRIGATION WATER QUALITY DATA OF A WATERSHED IN THE SEMIARID REGION OF BRAZIL |
title_sort |
MULTIVARIATE STATISTICS APPLIED TO IRRIGATION WATER QUALITY DATA OF A WATERSHED IN THE SEMIARID REGION OF BRAZIL |
author |
Oliveira Júnior, Raimundo Fernandes de |
author_facet |
Oliveira Júnior, Raimundo Fernandes de Lemos Filho, Luis César de Aquino Batista, Rafael Oliveira Ferreira, Larissa Luana Nicodemos Costa, Lucas Ramos da Caminha, Mateus Pessoa |
author_role |
author |
author2 |
Lemos Filho, Luis César de Aquino Batista, Rafael Oliveira Ferreira, Larissa Luana Nicodemos Costa, Lucas Ramos da Caminha, Mateus Pessoa |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Oliveira Júnior, Raimundo Fernandes de Lemos Filho, Luis César de Aquino Batista, Rafael Oliveira Ferreira, Larissa Luana Nicodemos Costa, Lucas Ramos da Caminha, Mateus Pessoa |
dc.subject.por.fl_str_mv |
Recursos Hídricos. Salinidade. Agricultura. Water Resources. Salinity. Agriculture. |
topic |
Recursos Hídricos. Salinidade. Agricultura. Water Resources. Salinity. Agriculture. |
description |
Water scarcity is one of the main problems in the Semiarid region of Brazil, which can be mitigated by water resource management strategies. The objective of this work was to classify waters of a watershed in the Semiarid region of Brazil and select the water attributes that most affect the quality of waters used for irrigation (QWI), using multivariate statistics. The study area was the Riacho da Bica watershed, which is between the municipalities of Portalegre and Viçosa, Rio Grande do Norte, Brazil. The QWI was determined using water samples from 15 collections carried out from 2016 to 2018, in five specific points of the watershed, starting in the spring and following the water course. The water attributes evaluated were: electrical conductivity (EC), potential hydrogen (pH), and sodium (Na+), potassium (K+), magnesium (Mg2+), calcium (Ca2+), carbonate (CO32-), chloride (Cl-), and bicarbonate (HCO3-) contents. The water quality data were subjected to multivariate statistics through factorial analysis (FA) and principal component analysis (PCA). The application of multivariate statistics through FA-PCA generated four principal components. The attributes that most explained the QWI variation were potassium, calcium, and pH for Factor 01, and sodium and RAS for Factor 02. The watershed waters were classified as low risk of salinity and medium risk of sodicity (C1S2) for irrigation purposes. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-19 |
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://periodicos.ufersa.edu.br/caatinga/article/view/9440 |
url |
https://periodicos.ufersa.edu.br/caatinga/article/view/9440 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufersa.edu.br/caatinga/article/view/9440/10707 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Revista Caatinga info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Revista Caatinga |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal Rural do Semi-Árido |
publisher.none.fl_str_mv |
Universidade Federal Rural do Semi-Árido |
dc.source.none.fl_str_mv |
REVISTA CAATINGA; Vol. 34 No. 3 (2021); 650-658 Revista Caatinga; v. 34 n. 3 (2021); 650-658 1983-2125 0100-316X reponame:Revista Caatinga instname:Universidade Federal Rural do Semi-Árido (UFERSA) instacron:UFERSA |
instname_str |
Universidade Federal Rural do Semi-Árido (UFERSA) |
instacron_str |
UFERSA |
institution |
UFERSA |
reponame_str |
Revista Caatinga |
collection |
Revista Caatinga |
repository.name.fl_str_mv |
Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA) |
repository.mail.fl_str_mv |
patricio@ufersa.edu.br|| caatinga@ufersa.edu.br |
_version_ |
1754734750859264000 |