Analyzing the influence of vehicular traffic on the concentration of pollutants in the city of São Paulo
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2023
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This study employs surface and remote sensing data jointly with deep learning techniques
to examine the influence of vehicular traffic in the seasonal patterns of CO, NO2
, PM2.5, and PM10
concentrations in the São Paulo municipality, as the period of physical distancing (March 2020 to
December 2021), due to SARS-CoV-2 pandemic and the resumption of activities, made it possible to
observe significant variations in the flow of vehicles in the city of São Paulo. Firstly, an analysis of the
planetary boundary layer height and ventilation coefficient was performed to identify the seasons’
patterns of pollution dispersion. Then, the variations (from 2018 to 2021) of the seasonal average
values of air temperature, relative humidity, precipitation, and thermal inversion occurrence/position
were compared to identify possible variations in the patterns of such variables that would justify (or
deny) the occurrence of more favorable conditions for pollutants dispersion. However, no significant
variations were found. Finally, the seasonal average concentrations of the previously mentioned
pollutants were compared from 2018 to 2021, and the daily concentrations observed during the
pandemic period were compared with a model based on an artificial neural network. Regarding the
concentration of pollutants, the primarily sourced from vehicular traffic (CO and NO2
) exhibited
substantial variations, demonstrating an inverse relationship with the rate of social distancing.
In addition, the measured concentrations deviated from the predictive model during periods of
significant social isolation. Conversely, pollutants that were not primarily linked to vehicular sources
(PM2.5 and PM10) exhibited minimal variation from 2018 to 2021; thus, their measured concentration
remained consistent with the prediction model.
Como referenciar
MOREIRA, GREGORI de A.; CACHEFFO, ALEXANDRE; ANDRADE, IZABEL da S.; LOPES, FABIO JULIANO da S.; GOMES, ANTONIO A.; LANDULFO, EDUARDO. Analyzing the influence of vehicular traffic on the concentration of pollutants in the city of São Paulo: an approach based on pandemic SARS-CoV-2 data and deep learning. Atmosphere, v. 14, n. 10, p. 1-16, 2023. DOI: 10.3390/atmos14101578. Disponível em: http://repositorio.ipen.br/handle/123456789/34210. Acesso em: 11 May 2024.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.