Ronan Adler Tavella, Flavio Manoel Rodrigues da Silva Júnior
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引用次数: 0
Abstract
This study investigated the interruption-recovery pattern of air pollutants (O3, PM2.5 and PM10) during and after the COVID-19 pandemic in Southern Brazil using machine learning models. The results showed that 2020 was an atypical year for air pollution levels due to restriction measures. However, we also found that 2021 was not a definitive year for the assessed air pollutants in the region but rather a transitional year. It was only in 2022 that the pollutant levels returned to usual levels in the region. In this sense, our findings suggest that the levels observed in 2022 can be considered the "new normal" for air pollutants in the region. Furthermore, we found that O3 levels decreased significantly and were sustained and further decreased in 2022, while PM2.5 and PM10 levels showed a reversed but similar trend with a slight increase in concentrations from 2020 to 2021 and again from 2021 to 2022. Overall, this study provides valuable insights into the impacts of COVID-19 on air pollution levels and highlights the need for continued efforts to improve air quality in the region.
期刊介绍:
MAPAN-Journal Metrology Society of India is a quarterly publication. It is exclusively devoted to Metrology (Scientific, Industrial or Legal). It has been fulfilling an important need of Metrologists and particularly of quality practitioners by publishing exclusive articles on scientific, industrial and legal metrology.
The journal publishes research communication or technical articles of current interest in measurement science; original work, tutorial or survey papers in any metrology related area; reviews and analytical studies in metrology; case studies on reliability, uncertainty in measurements; and reports and results of intercomparison and proficiency testing.