Multivariate analyses to establish reference values for soils in Médio Paraíba, state of Rio de Janeiro, Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , , |
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. |
id |
UFC-2_c702e848c7c5309e49aaa33befe1e98c |
---|---|
oai_identifier_str |
oai:scielo:S1806-66902018000100001 |
network_acronym_str |
UFC-2 |
network_name_str |
Revista ciência agronômica (Online) |
repository_id_str |
|
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 |
format |
article |
status_str |
publishedVersion |
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 |
eu_rights_str_mv |
openAccess |
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 |
_version_ |
1750297488966811648 |