Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , |
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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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 |
_version_ |
1752122083984277504 |