Impact of the meteorological variables and of restrictions to urban mobility associated with the COVID-19 pandemic on the concentrations of particulate matter (PM10)
DOI:
https://doi.org/10.26848/rbgf.v18.07.p5323-5338Palabras clave:
Atmospheric pollution, Generalized Additive Model (GAM), SARS-CoV-2, Temporal variability of air pollutantsResumen
This study investigated the association of meteorological parameters with the different periods of urban mobility related to COVID-19, on the PM10 concentrations in a small town in Southern Brazil. The particulate matter was monitored during a two-year period from 2019 to 2021, which covered the pre-lockdown, lockdown, and relaxation time phases. The meteorological data and PM10 concentrations, monitored using a high-volume air sampler installed in the centre of the town, were implemented in a Generalized Additive Model (GAM) as predictive air pollutant concentration variables. The results indicated that the wind speed and direction did not affect the variation in PM10 concentrations. However, the seasons showed a significant influence, with greater PM10 concentrations in the winter, due to worse pollutant dispersion conditions. There was a mean reduction of 40% in the PM10 concentrations during the lockdown period, corroborating the efficacy of mobility restrictions on air quality. The study concluded that although rainfall and relative humidity interfered significantly with particulate matter concentrations, social mobility and seasons were also preponderant factors with respect to air quality improvements. The study also emphasized the importance of monitoring air pollution in small towns (with no air quality monitoring stations), where the impact of air pollutants on public health can also be significant.
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Derechos de autor 1969 Ana Flávia Scudeler, Elaine Schornobay Lui, Davi Zacarias de Souza, Kelly Geronazzo Martins, Waldir Nagel Schirmer
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