Modeling the processes of removing sulfur dioxide and sulfate particles present at different locations in the metropolitan region of Sao Paulo Modelagem dos processos de remoção sulfato e dióxido de enxofre presente no particulado em diferentes localidades da região metropolitana de São Paulo
Tipo
Artigo
Data de publicação
2010
Periódico
Revista Brasileira de Geofisica
Citações (Scopus)
2
Autores
Goncalves F.L.T.
Mantovani Jr. L.C.
Fornaro A.
Pedrotti J.J.
Mantovani Jr. L.C.
Fornaro A.
Pedrotti J.J.
Orientador
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
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Resumo
This article deals with the scavenging processes modeling of the particulate sulfate and the gas sulfur dioxide, emphasizing the synoptic conditions at different sampling sites in order to verify the domination of the in-cloud or below-cloud scavenging processes in the Metropolitan Area of São Paulo (RMSP). Three sampling sites were chosen: GV (Granja Viana) at RMSP surroundings, IAG-USP and Mackenzie (RMSP center). Basing on synoptic conditions, it was chosen a group of events where the numerical modeling, a simple scavenging model, was used. These synoptic conditions were usually convective cloud storms, which are usual at RMSP. The results show that the in-cloud processes were dominant (80%) for sulfate/sulfur dioxide scavenging processes, with below-cloud process indicating around 20% of the total. Clearly convective events, with total rainfall higher than 20 mm, are better modeled than the stratiform events, with correlation coeffcient of 0.92. There is also a clear association with events presenting higher rainfall amount and the ratio between modeled and observed data set with correlation coeffcient of 0.63. Additionally, the suburb sampling site, GV, as expected due to the pollution source distance, presents in general smaller amount of rainwater sulfate (modeled and observed) than the center sampling site, Mackenzie, where the characterization event explains partially the rainfall concentration differences. © 2010 Sociedade Brasileira de Geofísica.