Tratamento estatístico dos parâmetros da qualidade das águas da bacia do alto curso do Rio das Velhas
Autor(a) principal: | |
---|---|
Data de Publicação: | 2007 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Química Nova (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422007000400008 |
Resumo: | Water quality was monitored at the upper course of the Rio das Velhas, a major tributary of the São Francisco basin located in the state of Minas Gerais, over an extension of 108 km from its source up to the limits with the Sabara district. Monitoring was done at 37 different sites over a period of 2 years (2003-2004) for 39 parameters. Multivariate statistical techniques were applied to interpret the large water-quality data set and to establish an optimal long-term monitoring network. Cluster analysis separated the sampling sites into groups of similarity, and also indicated the stations investigated for correlation and recommended to be removed from the monitoring network. Principal component analysis identified four components, which are responsible for the data structure explaining 80% of the total variance of the data. The principal parameters are characterized as due to mining activities and domestic sewage. Significant data reduction was achieved. |
id |
SBQ-3_523321bba8014fee9f80a39995c53a42 |
---|---|
oai_identifier_str |
oai:scielo:S0100-40422007000400008 |
network_acronym_str |
SBQ-3 |
network_name_str |
Química Nova (Online) |
repository_id_str |
|
spelling |
Tratamento estatístico dos parâmetros da qualidade das águas da bacia do alto curso do Rio das VelhasRio das Velhas basinwater qualitymultivariate analysisWater quality was monitored at the upper course of the Rio das Velhas, a major tributary of the São Francisco basin located in the state of Minas Gerais, over an extension of 108 km from its source up to the limits with the Sabara district. Monitoring was done at 37 different sites over a period of 2 years (2003-2004) for 39 parameters. Multivariate statistical techniques were applied to interpret the large water-quality data set and to establish an optimal long-term monitoring network. Cluster analysis separated the sampling sites into groups of similarity, and also indicated the stations investigated for correlation and recommended to be removed from the monitoring network. Principal component analysis identified four components, which are responsible for the data structure explaining 80% of the total variance of the data. The principal parameters are characterized as due to mining activities and domestic sewage. Significant data reduction was achieved.Sociedade Brasileira de Química2007-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422007000400008Química Nova v.30 n.4 2007reponame:Química Nova (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0100-40422007000400008info:eu-repo/semantics/openAccessNonato,Eliana A.Viola,Zenilde G. G.Almeida,Katiane C. B.Schor,Heloiza H. R.por2007-08-10T00:00:00Zoai:scielo:S0100-40422007000400008Revistahttps://www.scielo.br/j/qn/ONGhttps://old.scielo.br/oai/scielo-oai.phpquimicanova@sbq.org.br1678-70640100-4042opendoar:2007-08-10T00:00Química Nova (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
Tratamento estatístico dos parâmetros da qualidade das águas da bacia do alto curso do Rio das Velhas |
title |
Tratamento estatístico dos parâmetros da qualidade das águas da bacia do alto curso do Rio das Velhas |
spellingShingle |
Tratamento estatístico dos parâmetros da qualidade das águas da bacia do alto curso do Rio das Velhas Nonato,Eliana A. Rio das Velhas basin water quality multivariate analysis |
title_short |
Tratamento estatístico dos parâmetros da qualidade das águas da bacia do alto curso do Rio das Velhas |
title_full |
Tratamento estatístico dos parâmetros da qualidade das águas da bacia do alto curso do Rio das Velhas |
title_fullStr |
Tratamento estatístico dos parâmetros da qualidade das águas da bacia do alto curso do Rio das Velhas |
title_full_unstemmed |
Tratamento estatístico dos parâmetros da qualidade das águas da bacia do alto curso do Rio das Velhas |
title_sort |
Tratamento estatístico dos parâmetros da qualidade das águas da bacia do alto curso do Rio das Velhas |
author |
Nonato,Eliana A. |
author_facet |
Nonato,Eliana A. Viola,Zenilde G. G. Almeida,Katiane C. B. Schor,Heloiza H. R. |
author_role |
author |
author2 |
Viola,Zenilde G. G. Almeida,Katiane C. B. Schor,Heloiza H. R. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Nonato,Eliana A. Viola,Zenilde G. G. Almeida,Katiane C. B. Schor,Heloiza H. R. |
dc.subject.por.fl_str_mv |
Rio das Velhas basin water quality multivariate analysis |
topic |
Rio das Velhas basin water quality multivariate analysis |
description |
Water quality was monitored at the upper course of the Rio das Velhas, a major tributary of the São Francisco basin located in the state of Minas Gerais, over an extension of 108 km from its source up to the limits with the Sabara district. Monitoring was done at 37 different sites over a period of 2 years (2003-2004) for 39 parameters. Multivariate statistical techniques were applied to interpret the large water-quality data set and to establish an optimal long-term monitoring network. Cluster analysis separated the sampling sites into groups of similarity, and also indicated the stations investigated for correlation and recommended to be removed from the monitoring network. Principal component analysis identified four components, which are responsible for the data structure explaining 80% of the total variance of the data. The principal parameters are characterized as due to mining activities and domestic sewage. Significant data reduction was achieved. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-08-01 |
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=S0100-40422007000400008 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422007000400008 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
10.1590/S0100-40422007000400008 |
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 |
Química Nova v.30 n.4 2007 reponame:Química Nova (Online) instname:Sociedade Brasileira de Química (SBQ) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
reponame_str |
Química Nova (Online) |
collection |
Química Nova (Online) |
repository.name.fl_str_mv |
Química Nova (Online) - Sociedade Brasileira de Química (SBQ) |
repository.mail.fl_str_mv |
quimicanova@sbq.org.br |
_version_ |
1750318106436173824 |