Multivariate analyses to establish reference values for soils in Médio Paraíba, state of Rio de Janeiro, Brazil

Detalhes bibliográficos
Autor(a) principal: Mattos,Amanda Guimarães de
Data de Publicação: 2018
Outros Autores: Lima,Erica Souto Abreu, Amaral Sobrinho,Nelson Moura Brasil do, Zoffoli,Hugo José de Oliveira, Pérez,Daniel Vidal
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000100001
Resumo: ABSTRACT Quality Reference Values (QRVs) for potentially toxic elements are obtained from background levels in soils. However, this determination from mean values or percentiles is not appropriate given the variability in the natural distribution of these elements in soils. Therefore, the objective of this study was to propose a new methodology to establish the QRVs, using the Médio Paraíba region (RJ, Brazil) as an example, from groups of soils defined based on the pseudo-total levels of B, Ba, Co, Cr, Cu, Ni, Pb, and Zn through the use of multivariate analyses and discriminant functions. A total of 40 points, collected at depths of 0-20 and 20-40 cm, were used for the determination of pseudo-total contents, according to the EPA 3051A methodology. The samples were separated into three groups to better represent the variability of the soils of the region. The classification functions were obtained based on the variables Mn, Fe, and Mg. In general, the groups G1 and G2 presented lower values than the ones obtained when the sample universe was used, whereas G3 presented higher values. The QRVs obtained from the soil groups presented substantial differences that translate into advantages for the management of the contaminated areas of the region.
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spelling Multivariate analyses to establish reference values for soils in Médio Paraíba, state of Rio de Janeiro, BrazilGuiding valuesHeavy metalsCluster analysisABSTRACT Quality Reference Values (QRVs) for potentially toxic elements are obtained from background levels in soils. However, this determination from mean values or percentiles is not appropriate given the variability in the natural distribution of these elements in soils. Therefore, the objective of this study was to propose a new methodology to establish the QRVs, using the Médio Paraíba region (RJ, Brazil) as an example, from groups of soils defined based on the pseudo-total levels of B, Ba, Co, Cr, Cu, Ni, Pb, and Zn through the use of multivariate analyses and discriminant functions. A total of 40 points, collected at depths of 0-20 and 20-40 cm, were used for the determination of pseudo-total contents, according to the EPA 3051A methodology. The samples were separated into three groups to better represent the variability of the soils of the region. The classification functions were obtained based on the variables Mn, Fe, and Mg. In general, the groups G1 and G2 presented lower values than the ones obtained when the sample universe was used, whereas G3 presented higher values. The QRVs obtained from the soil groups presented substantial differences that translate into advantages for the management of the contaminated areas of the region.Universidade Federal do Ceará2018-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000100001Revista Ciência Agronômica v.49 n.1 2018reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20180001info:eu-repo/semantics/openAccessMattos,Amanda Guimarães deLima,Erica Souto AbreuAmaral Sobrinho,Nelson Moura Brasil doZoffoli,Hugo José de OliveiraPérez,Daniel Vidaleng2018-01-30T00:00:00Zoai:scielo:S1806-66902018000100001Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2018-01-30T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Multivariate analyses to establish reference values for soils in Médio Paraíba, state of Rio de Janeiro, Brazil
title Multivariate analyses to establish reference values for soils in Médio Paraíba, state of Rio de Janeiro, Brazil
spellingShingle Multivariate analyses to establish reference values for soils in Médio Paraíba, state of Rio de Janeiro, Brazil
Mattos,Amanda Guimarães de
Guiding values
Heavy metals
Cluster analysis
title_short Multivariate analyses to establish reference values for soils in Médio Paraíba, state of Rio de Janeiro, Brazil
title_full Multivariate analyses to establish reference values for soils in Médio Paraíba, state of Rio de Janeiro, Brazil
title_fullStr Multivariate analyses to establish reference values for soils in Médio Paraíba, state of Rio de Janeiro, Brazil
title_full_unstemmed Multivariate analyses to establish reference values for soils in Médio Paraíba, state of Rio de Janeiro, Brazil
title_sort Multivariate analyses to establish reference values for soils in Médio Paraíba, state of Rio de Janeiro, Brazil
author Mattos,Amanda Guimarães de
author_facet Mattos,Amanda Guimarães de
Lima,Erica Souto Abreu
Amaral Sobrinho,Nelson Moura Brasil do
Zoffoli,Hugo José de Oliveira
Pérez,Daniel Vidal
author_role author
author2 Lima,Erica Souto Abreu
Amaral Sobrinho,Nelson Moura Brasil do
Zoffoli,Hugo José de Oliveira
Pérez,Daniel Vidal
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Mattos,Amanda Guimarães de
Lima,Erica Souto Abreu
Amaral Sobrinho,Nelson Moura Brasil do
Zoffoli,Hugo José de Oliveira
Pérez,Daniel Vidal
dc.subject.por.fl_str_mv Guiding values
Heavy metals
Cluster analysis
topic Guiding values
Heavy metals
Cluster analysis
description ABSTRACT Quality Reference Values (QRVs) for potentially toxic elements are obtained from background levels in soils. However, this determination from mean values or percentiles is not appropriate given the variability in the natural distribution of these elements in soils. Therefore, the objective of this study was to propose a new methodology to establish the QRVs, using the Médio Paraíba region (RJ, Brazil) as an example, from groups of soils defined based on the pseudo-total levels of B, Ba, Co, Cr, Cu, Ni, Pb, and Zn through the use of multivariate analyses and discriminant functions. A total of 40 points, collected at depths of 0-20 and 20-40 cm, were used for the determination of pseudo-total contents, according to the EPA 3051A methodology. The samples were separated into three groups to better represent the variability of the soils of the region. The classification functions were obtained based on the variables Mn, Fe, and Mg. In general, the groups G1 and G2 presented lower values than the ones obtained when the sample universe was used, whereas G3 presented higher values. The QRVs obtained from the soil groups presented substantial differences that translate into advantages for the management of the contaminated areas of the region.
publishDate 2018
dc.date.none.fl_str_mv 2018-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000100001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000100001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20180001
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.49 n.1 2018
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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