Application of multivariate statistical analysis to superficial soils around a coal burning power plant
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of the Brazilian Chemical Society (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532004000100019 |
Resumo: | The Thermoelectric Complex Jorge Lacerda (TCJL), located in the Santa Catarina State, Brazil, is the largest coal burning thermoelectric complex of Latin America and consists of seven power plants with a total capacity of 832 MWe. In order to estimate the contribution of the atmospheric releases from the TCJL to the elemental composition of surface soils around it, forty-five samples were collected at up to a distance of 8 km. Forty-two elements were determined by ICP-MS and ICP-AES after total acid dissolution. The technique of principal component analysis was employed to identify the major sources that contribute to surface soil composition. Additionally, a source apportioning using multiple regression on absolute principal component scores was performed in order to obtain quantitative information about the contribution of the different identified sources on the soil composition. Based on the results obtained, four sources were identified as the main contributors to the surface soil elemental composition. One of them was related to TCJL because it retains volatile elements enriched on fly ash and released from powerhouse stacks. |
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Application of multivariate statistical analysis to superficial soils around a coal burning power plantsurface soilsICP-MScoal fired power plantelemental compositionchemometricsThe Thermoelectric Complex Jorge Lacerda (TCJL), located in the Santa Catarina State, Brazil, is the largest coal burning thermoelectric complex of Latin America and consists of seven power plants with a total capacity of 832 MWe. In order to estimate the contribution of the atmospheric releases from the TCJL to the elemental composition of surface soils around it, forty-five samples were collected at up to a distance of 8 km. Forty-two elements were determined by ICP-MS and ICP-AES after total acid dissolution. The technique of principal component analysis was employed to identify the major sources that contribute to surface soil composition. Additionally, a source apportioning using multiple regression on absolute principal component scores was performed in order to obtain quantitative information about the contribution of the different identified sources on the soil composition. Based on the results obtained, four sources were identified as the main contributors to the surface soil elemental composition. One of them was related to TCJL because it retains volatile elements enriched on fly ash and released from powerhouse stacks.Sociedade Brasileira de Química2004-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532004000100019Journal of the Brazilian Chemical Society v.15 n.1 2004reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0103-50532004000100019info:eu-repo/semantics/openAccessGodoy,Maria Luiza D. PGodoy,José MRoldão,Luis AConti,Luis Feng2004-05-25T00:00:00Zoai:scielo:S0103-50532004000100019Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2004-05-25T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
Application of multivariate statistical analysis to superficial soils around a coal burning power plant |
title |
Application of multivariate statistical analysis to superficial soils around a coal burning power plant |
spellingShingle |
Application of multivariate statistical analysis to superficial soils around a coal burning power plant Godoy,Maria Luiza D. P surface soils ICP-MS coal fired power plant elemental composition chemometrics |
title_short |
Application of multivariate statistical analysis to superficial soils around a coal burning power plant |
title_full |
Application of multivariate statistical analysis to superficial soils around a coal burning power plant |
title_fullStr |
Application of multivariate statistical analysis to superficial soils around a coal burning power plant |
title_full_unstemmed |
Application of multivariate statistical analysis to superficial soils around a coal burning power plant |
title_sort |
Application of multivariate statistical analysis to superficial soils around a coal burning power plant |
author |
Godoy,Maria Luiza D. P |
author_facet |
Godoy,Maria Luiza D. P Godoy,José M Roldão,Luis A Conti,Luis F |
author_role |
author |
author2 |
Godoy,José M Roldão,Luis A Conti,Luis F |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Godoy,Maria Luiza D. P Godoy,José M Roldão,Luis A Conti,Luis F |
dc.subject.por.fl_str_mv |
surface soils ICP-MS coal fired power plant elemental composition chemometrics |
topic |
surface soils ICP-MS coal fired power plant elemental composition chemometrics |
description |
The Thermoelectric Complex Jorge Lacerda (TCJL), located in the Santa Catarina State, Brazil, is the largest coal burning thermoelectric complex of Latin America and consists of seven power plants with a total capacity of 832 MWe. In order to estimate the contribution of the atmospheric releases from the TCJL to the elemental composition of surface soils around it, forty-five samples were collected at up to a distance of 8 km. Forty-two elements were determined by ICP-MS and ICP-AES after total acid dissolution. The technique of principal component analysis was employed to identify the major sources that contribute to surface soil composition. Additionally, a source apportioning using multiple regression on absolute principal component scores was performed in order to obtain quantitative information about the contribution of the different identified sources on the soil composition. Based on the results obtained, four sources were identified as the main contributors to the surface soil elemental composition. One of them was related to TCJL because it retains volatile elements enriched on fly ash and released from powerhouse stacks. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004-02-01 |
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=S0103-50532004000100019 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532004000100019 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0103-50532004000100019 |
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 |
Sociedade Brasileira de Química |
publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
dc.source.none.fl_str_mv |
Journal of the Brazilian Chemical Society v.15 n.1 2004 reponame:Journal of the Brazilian Chemical Society (Online) instname:Sociedade Brasileira de Química (SBQ) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
reponame_str |
Journal of the Brazilian Chemical Society (Online) |
collection |
Journal of the Brazilian Chemical Society (Online) |
repository.name.fl_str_mv |
Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ) |
repository.mail.fl_str_mv |
||office@jbcs.sbq.org.br |
_version_ |
1750318165424865280 |