Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies

Detalhes bibliográficos
Autor(a) principal: Gonçalves,Fábio Luiz Teixeira
Data de Publicação: 2010
Outros Autores: Beheng,Klaus Dieter, Massambani,Oswaldo, Vautz,Wolfgang, Klockow,Dieter
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=S0102-77862010000400003
Resumo: Below cloud scavenging processes have been investigated considering a numerical simulation, local atmospheric conditions and particulate matter (PM) concentrations, at different sites in Germany. The below cloud scavenging model has been coupled with bulk particulate matter counter TSI (Trust Portacounter dataset, consisting of the variability prediction of the particulate air concentrations during chosen rain events. The TSI samples and meteorological parameters were obtained during three winter Campaigns: at Deuselbach, March 1994, consisting in three different events; Sylt, April 1994 and; Freiburg, March 1995. The results show a good agreement between modeled and observed air concentrations, emphasizing the quality of the conceptual model used in the below cloud scavenging numerical modeling. The results between modeled and observed data have also presented high square Pearson coefficient correlations over 0.7 and significant, except the Freiburg Campaign event. The differences between numerical simulations and observed dataset are explained by the wind direction changes and, perhaps, the absence of advection mass terms inside the modeling. These results validate previous works based on the same conceptual model.
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spelling Scavenging processes of atmospheric particulate matter: a numerical modeling of case studiesscavenging processesparticulate matternumerical modelingBelow cloud scavenging processes have been investigated considering a numerical simulation, local atmospheric conditions and particulate matter (PM) concentrations, at different sites in Germany. The below cloud scavenging model has been coupled with bulk particulate matter counter TSI (Trust Portacounter dataset, consisting of the variability prediction of the particulate air concentrations during chosen rain events. The TSI samples and meteorological parameters were obtained during three winter Campaigns: at Deuselbach, March 1994, consisting in three different events; Sylt, April 1994 and; Freiburg, March 1995. The results show a good agreement between modeled and observed air concentrations, emphasizing the quality of the conceptual model used in the below cloud scavenging numerical modeling. The results between modeled and observed data have also presented high square Pearson coefficient correlations over 0.7 and significant, except the Freiburg Campaign event. The differences between numerical simulations and observed dataset are explained by the wind direction changes and, perhaps, the absence of advection mass terms inside the modeling. These results validate previous works based on the same conceptual model.Sociedade Brasileira de Meteorologia2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862010000400003Revista Brasileira de Meteorologia v.25 n.4 2010reponame:Revista Brasileira de Meteorologia (Online)instname:Sociedade Brasileira de Meteorologia (SBMET)instacron:SBMET10.1590/S0102-77862010000400003info:eu-repo/semantics/openAccessGonçalves,Fábio Luiz TeixeiraBeheng,Klaus DieterMassambani,OswaldoVautz,WolfgangKlockow,Dietereng2011-03-15T00:00:00Zoai:scielo:S0102-77862010000400003Revistahttp://www.rbmet.org.br/port/index.phpONGhttps://old.scielo.br/oai/scielo-oai.php||rbmet@rbmet.org.br1982-43510102-7786opendoar:2011-03-15T00:00Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)false
dc.title.none.fl_str_mv Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies
title Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies
spellingShingle Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies
Gonçalves,Fábio Luiz Teixeira
scavenging processes
particulate matter
numerical modeling
title_short Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies
title_full Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies
title_fullStr Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies
title_full_unstemmed Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies
title_sort Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies
author Gonçalves,Fábio Luiz Teixeira
author_facet Gonçalves,Fábio Luiz Teixeira
Beheng,Klaus Dieter
Massambani,Oswaldo
Vautz,Wolfgang
Klockow,Dieter
author_role author
author2 Beheng,Klaus Dieter
Massambani,Oswaldo
Vautz,Wolfgang
Klockow,Dieter
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Gonçalves,Fábio Luiz Teixeira
Beheng,Klaus Dieter
Massambani,Oswaldo
Vautz,Wolfgang
Klockow,Dieter
dc.subject.por.fl_str_mv scavenging processes
particulate matter
numerical modeling
topic scavenging processes
particulate matter
numerical modeling
description Below cloud scavenging processes have been investigated considering a numerical simulation, local atmospheric conditions and particulate matter (PM) concentrations, at different sites in Germany. The below cloud scavenging model has been coupled with bulk particulate matter counter TSI (Trust Portacounter dataset, consisting of the variability prediction of the particulate air concentrations during chosen rain events. The TSI samples and meteorological parameters were obtained during three winter Campaigns: at Deuselbach, March 1994, consisting in three different events; Sylt, April 1994 and; Freiburg, March 1995. The results show a good agreement between modeled and observed air concentrations, emphasizing the quality of the conceptual model used in the below cloud scavenging numerical modeling. The results between modeled and observed data have also presented high square Pearson coefficient correlations over 0.7 and significant, except the Freiburg Campaign event. The differences between numerical simulations and observed dataset are explained by the wind direction changes and, perhaps, the absence of advection mass terms inside the modeling. These results validate previous works based on the same conceptual model.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
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=S0102-77862010000400003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862010000400003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0102-77862010000400003
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.25 n.4 2010
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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