Utilize este identificador para referenciar este registo: http://hdl.handle.net/10773/8440
Título: Modelling the photochemical pollution over the metropolitan area of Porto Alegre, Brazil
Autor: Borrego, C.
Monteiro, A.
Ferreira, J.
Moraes, M. R.
Carvalho, A.
Ribeiro, I.
Miranda, A. I.
Moreira, D. M.
Palavras-chave: Air quality modelling
CALGRID
ozone
Porto Alegre – Brazil
CAMx
Data: Jan-2010
Editora: Elsevier
Resumo: The main purpose of this study is to evaluate the photochemical pollution over the Metropolitan Area of Porto Alegre (MAPA), Brazil, where high concentrations of ozone have been registered during the past years. Due to the restricted spatial coverage of the monitoring air quality network, a numerical modelling technique was selected and applied to this assessment exercise. Two different chemistry-transport models - CAMx and CALGRID - were applied for a summer period, driven by the MM5 meteorological model. The meteorological model performance was evaluated comparing its results to available monitoring data measured at the Porto Alegre airport. Validation results point out a good model performance. it was not possible to evaluate the chemistry models performance due to the lack of adequate monitoring data. Nevertheless, the model intercomparison between CAMx and CALGRID shows a similar behaviour in what concerns the simulation of nitrogen dioxide, but some discrepancies concerning ozone. Regarding the fulfilment of the Brazilian air quality targets, the simulated ozone concentrations surpass the legislated value in specific periods, mainly outside the urban area of Porto Alegre. The ozone formation is influenced by the emission of pollutants that act as precursors (like the nitrogen oxides emitted at Porto Alegre urban area and coming from a large refinery complex) and by the meteorological conditions. (C) 2009 Elsevier Ltd. All rights reserved.
Peer review: yes
URI: http://hdl.handle.net/10773/8440
DOI: 10.1016/j.atmosenv.2009.10.027
ISSN: 1352-2310
Versão do Editor: http://www.sciencedirect.com/science/article/pii/S1352231009008899
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