Assessment of air quality changes during COVID-19 partial lockdown in a Brazilian metropolis: from lockdown to economic opening of Rio de Janeiro, Brazil

Beringui, Karmel; Justo, Elizanne P. S.; Falco, Anna De; Santa-Helena, Eduarda; Rocha, Wérickson Fortunato de Carvalho; Deroubaix, Adrien; Gioda, Adriana

doi:10.1007/s11869-021-01127-2

Cited by 8 publications

(6 citation statements)

References 33 publications

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“…In Brazil, a partial lockdown started in March 2020 and ended in June 2020 (Beringui et al, 2022). The effect of lockdown policies on the air quality of Brazil, considering the variations in the average air pollutant concentrations in March 2020 relative to the pre-COVID-19 period, shows that the highest decrease ranged from 22 to 112 % was for CO followed by NO2 (-24%) (see Figure 3-Brazil).…”

Section: Results and Discussion Per Countries Among Continentsmentioning

confidence: 98%

“…The effect of lockdown policies on the air quality of Brazil, considering the variations in the average air pollutant concentrations in March 2020 relative to the pre-COVID-19 period, shows that the highest decrease ranged from 22 to 112 % was for CO followed by NO2 (-24%) (see Figure 3-Brazil). Beringui et al, 2022 showed the variation in the air quality during the partial lockdown in Rio de Janeiro city (Brazil). Results showed that CO concentration reduced significantly because of decreasing in the traffic density, while O3 concentration increased, most probably as a consequence of the reduction in primary air pollutants.…”

Section: Results and Discussion Per Countries Among Continentsmentioning

confidence: 99%

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COVID-19 Lockdown Impact on Air Pollution: A Global Comparative Analysis

Akan¹,

Coccia²

2022

Preprint

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The goal of this study is to develop a global analysis, based on data from 2015 to 2022, that clarifies the impact of containment policies (e.g., lockdown and quarantine) for Coronavirus Disease-2019 (COVID-19) on the air pollution between countries of different continents. In this context, average changes of CO, NO2, SO2, O3, PM2.5, and PM10 concentrations based on measurements at ground level in January, February, and March for 2019, 2020, 2021, and 2022 are compared with average values of 2015-2018 period between 300 cities of 19 countries in 5 continents. Results show that the maximum reduction in pollutant concentrations during this period is given by: CO (-4,367.5%) in France, NO2 (-150.5%) in China and Australia, SO2 (-154.1%) in Israel, O3 (-94.1%) in China, PM2.5 (-41.4%) in Germany and PM10 (-157.4%) in Turkey. Findings reveal that the effects of containment policies on air quality vary significantly between countries depending on different geographical characteristics of regions. This study has main environmental policy implications because it clarifies the critical role of severe control measure to reduce air pollution and support sustainable environment and development.

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Section: Results and Discussion Per Countries Among Continentsmentioning

confidence: 98%

Section: Results and Discussion Per Countries Among Continentsmentioning

confidence: 99%

COVID-19 Lockdown Impact on Air Pollution: A Global Comparative Analysis

Akan¹,

Coccia²

2022

Preprint

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“…where, I ini is a value that corresponds to the initial concentration of the range, I fin is a value that corresponds to the final concentration of the range, C ini is the initial concentration of the range in which the measured concentration is located, C fin is the final concentration of the range in which the measured concentration is located and C is the measured pollutant concentration (Beringui et al 2022(Beringui et al , 2023.…”

Section: Air Quality Indexmentioning

confidence: 99%

Atmospheric Aerosols and Air Quality in the 2022 Dry Season in Huancayo-Perú

Angeles Vasquez,

Angeles-Suazo,

Abi Karam

et al. 2024

Anu. Inst. Geociênc.

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This work presents results of Aerosol Optical Depth (AOD) and Direct Radiative Force (DRF) at the top of the atmosphere (TOA), obtained during monitoring campaigns carried out at the Huancayo Observatory of the Geophysical Institute of Peru (OH-IGP ) in April and August 2022. In these campaigns, a Sun CIMEL photometer was used to measure the microphysical and optical properties of aerosols at wavelengths ranging from 340 to 1020 nm, and a low-cost Purple-air sensor to quantify the concentration of material particulate (PM), in fine and coarse modes. The AOD results indicated values in the range 0.06-0.22. The daily averages of PM2.5 and PM10 did not exceed Peru's current Environmental Quality Standards (50 μg/m3 and 100 μg/m3). The air quality index (AQI) calculated for PM2.5 and PM10 was classified as good. On some days during the campaigns, the air quality was classified as moderate. These results contribute to a better understanding of the current climatic conditions of the Peruvian Altiplano.

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“…Misrepresentation of anthropogenic emissions in air quality models can lead to a bias in modeled oxidant level in megacities (e.g., Khan et al, 2021). However, the observed increases in O 3 concentrations during the COVID19 pandemic in São Paulo and even in Rio de Janeiro (e.g., Beringui et al, 2022;Nakada & Urban, 2020), are not reproduced by the global simulations performed by Gaubert et al (2021). Ensembles of regional air quality models have been developed initially for Europe (Galmarini et al, 2004) and North America (Monache et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Intercomparison of Air Quality Models in a Megacity: Toward an Operational Ensemble Forecasting System for São Paulo

Deroubaix,

Hoelzemann,

Ynoue

et al. 2024

JGR Atmospheres

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An intercomparison of four regional air quality models is performed in the tropical megacity of São Paulo with the perspective of developing a forecasting system based on a model ensemble. Modeled concentrations of the main regulated pollutants are compared with combined observations in the megacity center, after analyzing the spatial scale of representativeness of air monitoring stations. During three contrasting periods characterized by different types of pollution events, the hourly concentrations of carbon monoxide (CO), nitrogen oxides (NOx), sulfur dioxide (SO2), and particulate matter (PM2.5 and PM10) modeled by the ensemble are in moderate agreement with observations. The median of the ensemble provides the best performance (R ≈ 0.7 for CO, 0.7 for NOx, 0.5 for SO2, 0.5 for PM2.5, and 0.4 for PM10) because each model has periods and pollutants for which it has the best agreement. NOx concentration is modeled with a large inter‐model variability, highlighting potential for improvement of anthropogenic emissions. Pollutants transported by biomass burning events strongly affect the air quality in São Paulo and are associated with significant inter‐model variability. Modeled hourly concentration of ozone (O3) is overestimated during the day (≈20 ppb) and underestimated at night (≈10 ppb), while nitrogen dioxide (NO2) is overestimated at night (≈20 ppb). The observed O3 concentration is best reproduced by the median of the ensemble (R ≈ 0.8), taking advantage of the variable performance of the models. Therefore, an operational air quality forecast system based on a regional model ensemble is promising for São Paulo.

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Assessment of air quality changes during COVID-19 partial lockdown in a Brazilian metropolis: from lockdown to economic opening of Rio de Janeiro, Brazil

Cited by 8 publications

References 33 publications

COVID-19 Lockdown Impact on Air Pollution: A Global Comparative Analysis

COVID-19 Lockdown Impact on Air Pollution: A Global Comparative Analysis

Atmospheric Aerosols and Air Quality in the 2022 Dry Season in Huancayo-Perú

Intercomparison of Air Quality Models in a Megacity: Toward an Operational Ensemble Forecasting System for São Paulo

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