In-cloud and below-cloud scavenging analysis of sulfate in the metropolitan area of São Paulo, Brasil

Detalhes bibliográficos
Autor(a) principal: Gonçalves,F. L. T.
Data de Publicação: 2007
Outros Autores: Morinobu,W. N., Andrade,M. F., Fornaro,A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Meteorologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862007000100010
Resumo: The Metropolitan Area of São Paulo (MASP) is one of the largest urban centers in the world. The significant atmospheric concentrations of ozone, inhalable particles and other pollutants in the MASP raise serious air-quality concerns. In this study, we consider gases, particulate matter (PM) and cloud processes, with a focus on sulfate chemistry. The Regional Atmospheric Modeling System mesoscale numerical model was used in conjunction with detailed scavenging models to compare varying PM mass spectra and size distributions. Field data were collected during the July 1989-May 1990 and February-October 2000 campaigns. Adjusted-urban and rural spectra seem to fit better with observed results which improved the scavenging numerical modeling. Correlations between modeled and observed concentrations were better when the model included rural and adjusted-urban spectra, suggesting locally dominant below-cloud scavenging. Spatial variability analysis and numerical modeling also revealed that the varying sulfate rainwater concentrations indicate below-cloud removal process dominance.
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spelling In-cloud and below-cloud scavenging analysis of sulfate in the metropolitan area of São Paulo, Brasilair pollutionsulfur compoundsnumerical modelingscavenging processesrainwater chemistryThe Metropolitan Area of São Paulo (MASP) is one of the largest urban centers in the world. The significant atmospheric concentrations of ozone, inhalable particles and other pollutants in the MASP raise serious air-quality concerns. In this study, we consider gases, particulate matter (PM) and cloud processes, with a focus on sulfate chemistry. The Regional Atmospheric Modeling System mesoscale numerical model was used in conjunction with detailed scavenging models to compare varying PM mass spectra and size distributions. Field data were collected during the July 1989-May 1990 and February-October 2000 campaigns. Adjusted-urban and rural spectra seem to fit better with observed results which improved the scavenging numerical modeling. Correlations between modeled and observed concentrations were better when the model included rural and adjusted-urban spectra, suggesting locally dominant below-cloud scavenging. Spatial variability analysis and numerical modeling also revealed that the varying sulfate rainwater concentrations indicate below-cloud removal process dominance.Sociedade Brasileira de Meteorologia2007-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862007000100010Revista Brasileira de Meteorologia v.22 n.1 2007reponame:Revista Brasileira de Meteorologia (Online)instname:Sociedade Brasileira de Meteorologia (SBMET)instacron:SBMET10.1590/S0102-77862007000100010info:eu-repo/semantics/openAccessGonçalves,F. L. T.Morinobu,W. N.Andrade,M. F.Fornaro,A.eng2007-11-22T00:00:00Zoai:scielo:S0102-77862007000100010Revistahttp://www.rbmet.org.br/port/index.phpONGhttps://old.scielo.br/oai/scielo-oai.php||rbmet@rbmet.org.br1982-43510102-7786opendoar:2007-11-22T00:00Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)false
dc.title.none.fl_str_mv In-cloud and below-cloud scavenging analysis of sulfate in the metropolitan area of São Paulo, Brasil
title In-cloud and below-cloud scavenging analysis of sulfate in the metropolitan area of São Paulo, Brasil
spellingShingle In-cloud and below-cloud scavenging analysis of sulfate in the metropolitan area of São Paulo, Brasil
Gonçalves,F. L. T.
air pollution
sulfur compounds
numerical modeling
scavenging processes
rainwater chemistry
title_short In-cloud and below-cloud scavenging analysis of sulfate in the metropolitan area of São Paulo, Brasil
title_full In-cloud and below-cloud scavenging analysis of sulfate in the metropolitan area of São Paulo, Brasil
title_fullStr In-cloud and below-cloud scavenging analysis of sulfate in the metropolitan area of São Paulo, Brasil
title_full_unstemmed In-cloud and below-cloud scavenging analysis of sulfate in the metropolitan area of São Paulo, Brasil
title_sort In-cloud and below-cloud scavenging analysis of sulfate in the metropolitan area of São Paulo, Brasil
author Gonçalves,F. L. T.
author_facet Gonçalves,F. L. T.
Morinobu,W. N.
Andrade,M. F.
Fornaro,A.
author_role author
author2 Morinobu,W. N.
Andrade,M. F.
Fornaro,A.
author2_role author
author
author
dc.contributor.author.fl_str_mv Gonçalves,F. L. T.
Morinobu,W. N.
Andrade,M. F.
Fornaro,A.
dc.subject.por.fl_str_mv air pollution
sulfur compounds
numerical modeling
scavenging processes
rainwater chemistry
topic air pollution
sulfur compounds
numerical modeling
scavenging processes
rainwater chemistry
description The Metropolitan Area of São Paulo (MASP) is one of the largest urban centers in the world. The significant atmospheric concentrations of ozone, inhalable particles and other pollutants in the MASP raise serious air-quality concerns. In this study, we consider gases, particulate matter (PM) and cloud processes, with a focus on sulfate chemistry. The Regional Atmospheric Modeling System mesoscale numerical model was used in conjunction with detailed scavenging models to compare varying PM mass spectra and size distributions. Field data were collected during the July 1989-May 1990 and February-October 2000 campaigns. Adjusted-urban and rural spectra seem to fit better with observed results which improved the scavenging numerical modeling. Correlations between modeled and observed concentrations were better when the model included rural and adjusted-urban spectra, suggesting locally dominant below-cloud scavenging. Spatial variability analysis and numerical modeling also revealed that the varying sulfate rainwater concentrations indicate below-cloud removal process dominance.
publishDate 2007
dc.date.none.fl_str_mv 2007-04-01
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=S0102-77862007000100010
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862007000100010
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0102-77862007000100010
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 Meteorologia
publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
dc.source.none.fl_str_mv Revista Brasileira de Meteorologia v.22 n.1 2007
reponame:Revista Brasileira de Meteorologia (Online)
instname:Sociedade Brasileira de Meteorologia (SBMET)
instacron:SBMET
instname_str Sociedade Brasileira de Meteorologia (SBMET)
instacron_str SBMET
institution SBMET
reponame_str Revista Brasileira de Meteorologia (Online)
collection Revista Brasileira de Meteorologia (Online)
repository.name.fl_str_mv Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)
repository.mail.fl_str_mv ||rbmet@rbmet.org.br
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