The impact of COVID-19 partial lockdown on the air quality of the city of Rio de Janeiro, Brazil

Dantas, Guilherme; Siciliano, Bruno; França, Bruno Wanderley; Silva, Cleyton Martins da; Arbilla, Graciela

doi:10.1016/j.scitotenv.2020.139085

Cited by 576 publications

(609 citation statements)

References 13 publications

Supporting

Mentioning

474

Contrasting

Unclassified

Order By: Relevance

“…• SO2 is negatively related to COVID-19 cases. (Dantas, Siciliano, França, da Silva, & Arbilla, (2020) • PM10…”

Section: Chinamentioning

confidence: 99%

Climate indicators and COVID-19 recovery: A case of Wuhan city during the lockdown

Zhai

Fareed

Iqbal

et al. 2020

Preprint

View full text Add to dashboard Cite

The world needs to get out of the COVID-19 pandemic smoothly through a thorough socio-economic recovery. The first and the foremost step towards this process is the recovery of the people affected medically (COVID-19 patients). This is probably the first empirical study discussing the recovery from COVID-19 disease, and specifically aiming at exploring the environmental impact on COVID-19 recovered patients. The sample data is taken during the lockdown period in Wuhan from 23rd January 2020 to 8th April 2020. The novel econometric technique of Quantile-on-Quantile regression, recently proposed by Shin and Zhu (2016), is employed to capture the asymmetric association between environmental factors (TEMP, HUM, PM2.5, PM10, CO, SO2, NO2, and O3) and number of recovered patients from COVID-19 disease. We observe the heterogeneity among the variables across different quantiles of both independent and dependent variables. The findings suggest that TEMP, PM2.5, PM10, CO, NO2, and O3 are negatively related to the COVID-19 recovery, while HUM and SO2 show a positive association at most of the quantiles. The study recommends that maintaining a safe and comfortable environment for the patients may increase the number of recovered cases from COVID-19. The success story of Wuhan, the initial epicenter of the novel coronavirus in China can serve as an important case study for other countries to bring the outbreak under control. The current study could be conducive for the policymakers of those countries where the COVID-19 pandemic is still unrestrained.

show abstract

“…• SO2 is negatively related to COVID-19 cases. (Dantas, Siciliano, França, da Silva, & Arbilla, (2020) • PM10…”

Section: Chinamentioning

confidence: 99%

Climate indicators and COVID-19 recovery: A case of Wuhan city during the lockdown

Zhai

Fareed

Iqbal

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Contemporarily, many scholars have carried out relevant researches in the world. (Dantas et al 2020;Lal et al 2020;Li et al 2020;Nakada and Urban 2020) found that the lockdown reduces the emissions of SO 2 , NO x , PM 2.5 , CO, VOCs, and AQI, even low-to-moderate reduce Aerosol Optical Depth obviously in the corresponding research region. But at the same time, some of them found that ozone increased distinctly.…”

Section: Introductionmentioning

confidence: 99%

Air quality changes and Grey relational analysis of pollutants exceeding standards during the COVID-19 pandemic in Wuhan

Chang

2020

Preprint

View full text Add to dashboard Cite

The COVID-19 has spread widely around the world, and the air quality during that period has changed significantly. On the contrary, air quality also can affect the development of the pandemic. Therefore, it is pretty necessary to study air quality changes during the pandemic. This paper achieves this goal by applying the Over-standard multiples method and Grey relational analysis to study the individual and overall change trends of pollutants in Wuhan during the same period in the past seven years. The result shows that the concentrations of SO2 and O3 increased affected by the pandemic but still meet the standard. However, the pandemic promoted a decrease in PM2.5, PM10, and NO2 concentrations, but it had just reached the standard or even exceeded the standard. This article discussed the feasibility of using Grey relational analysis to analyze pollutants exceeding the standard from an overall perspective and provided new ideas for future research.

show abstract

“…Italy (Cristina et al 2020;Muhammad et al 2020;Zambrano-monserrate et al 2020), Spain, France (Muhammad et al 2020;Zambrano-monserrate et al 2020), USA (Muhammad et al 2020), Germany (Zambrano-monserrate et al 2020), Brazil (Dantas et al 2020), Kazakhstan (Kerimray et al 2020), etc.…”

Section: Introductionmentioning

confidence: 99%

“…The control on construction-related activities could also have contributed to the decrement observed in PM 2.5 and PM 10 concentrations. The decrease in ambient sulfur-di-oxide (SO 2 ) concentration during the control period was proportional to the decreased emission from industrial activities (Dantas et al 2020;Mahato et al 2020;Wang et al 2020b). Although there was a decrease in air pollution in many countries of the world during lockdown, restricted anthropogenic activities were not su cient alone to explain the reduction in the level of pollutants in air.…”

Section: Introductionmentioning

confidence: 99%

“…A study from China reported that due to the partial effect of unfavorable meteorological conditions, the reduction ratios of PM 2.5 concentrations, as a result of lockdown, were smaller than the reduction ratios of precursor emissions (Wang et al 2020a), indicating the in uence of weather on ambient pollutant concentrations. Even though the major air pollutants, such as PM 2.5 , PM 10 , CO, NO 2 , SO 2 and ammonia (NH 3 ), saw a large reduction in their concentrations, the concentration of ozone (O 3 ) increased during the lockdown period in many parts of the world (Cristina et al 2020;Dantas et al 2020;Mahato et al 2020;Wang et al 2020b). The reason behind this reverse trend of O 3 concentration was identi ed as the decreased PM concentrations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Air quality change due to COVID-19 lockdown in India and its perception by public

Sekar

Jasna

Binoy

et al. 2020

Preprint

View full text Add to dashboard Cite

In this study, air quality data for 100 days recorded at 193 stations distributed throughout India were analyzed to understand the changes in air quality following the country-wide lockdown imposed from 25th March to 17th May 2020 to contain the spread of the COVID-19 pandemic. The responses from a nationwide online survey conducted to obtain public perceptions of air quality improvement were also analyzed. On average, an approximately 40% improvement in the air quality index was observed, contributed by a reduction in 40% of PM10, 44% of PM2.5, 51% of NO2 and 21% of SO2. There was a significant difference between the levels of all the pollutants before and after the lockdown (p<0.05), except ozone. The Pearson correlation coefficient showed that the correlation between PM10 and PM2.5 with ozone was significant after the lockdown period, indicating that a significant portion of the particulates present in the atmosphere after the lockdown period is secondary. The survey for public perception showed that 60% of the 1750 respondents perceived improvement in air quality. On a scale of 1 to 5, the respondents from Delhi perceived the highest improvement, from 2.2 to 4.5. An odds ratio of 17 indicated a very high dependence of perception on actual air quality. PM10 levels had the highest influence in shaping public perceptions of air quality. The results from Google Trends analysis showed that media had no influence on shaping the perception of improvement in air quality.

show abstract

The impact of COVID-19 partial lockdown on the air quality of the city of Rio de Janeiro, Brazil

Cited by 576 publications

References 13 publications

Climate indicators and COVID-19 recovery: A case of Wuhan city during the lockdown

Climate indicators and COVID-19 recovery: A case of Wuhan city during the lockdown

Air quality changes and Grey relational analysis of pollutants exceeding standards during the COVID-19 pandemic in Wuhan

Air quality change due to COVID-19 lockdown in India and its perception by public

Contact Info

Product

Resources

About