Assessing air quality changes in large cities during COVID-19 lockdowns: The impacts of traffic-free urban conditions in Almaty, Kazakhstan

Kerimray, Aiymgul; Baimatova, Nassiba; Ibragimova, Olga P.; Bukenov, Bauyrzhan; Kenessov, Bulat; Plotitsyn, Pavel; Karaca, Ferhat

doi:10.1016/j.scitotenv.2020.139179

Cited by 405 publications

(403 citation statements)

References 11 publications

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“…Number of cities worldwide experienced air quality improvements during COVID-19 lockdowns; however, such changes may have been different in places with major contributions from nontra c related sources [14]. When we compared the concentration of PM 2.5 for 140 days before and 140 days during in Addis Ababa the mean concentration of PM 2.5 was increased 5.6 µg/m 3 during COVID-19 in Fig.…”

Section: Discussionmentioning

confidence: 99%

“…People living in an area with high levels of pollutant are more prone to develop chronic respiratory conditions and suitable to any infective agent [13]. A number of cities worldwide experienced air quality improvements during COVID-19 lockdowns; however, such changes may have been different in places with major contributions from nontra c related sources [14].…”

Section: Introductionmentioning

confidence: 99%

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Implications of COVID-19 on The of Fine Particulate Matter (PM2.5) in Ethiopia

Bulto

Chebo

Ede

et al. 2020

Preprint

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Background: The novel coronavirus pandemic, namely COVID-19, has become a global public health problem. COVID-19 was first reported in Ethiopia on 14 March 2020 by WHO. This paper is aimed at identifying the implication of COVID-19 on the concentration of PM2.5 from March 14, 2020 to July 31, 2020 in Ethiopia. Methods: The study gathered the environmental data released by Addis Ababa Central monitoring station before and during the coronavirus pandemic and discusses its impact on air quality. Daily concentrations of PM2.5 were compared before and during the COVId-19 for 280 days. The study compared the daily concentration of PM2.5 before COVID-19 from October 25, 2019 to March 13, 2020 and during COVID-19 from March 14, 2020 to July 31, 2020. The summary of the particulate matter, number of cases and deaths from March 14, 2020 to July 31, 2020 were analyzed in Ethiopia.Results: The results show that, the concentration of PM2.5 during COVID-19 was higher than before COVID-19. As air pollution increased the number of deaths was increased during coronavirus pandemic. There were 16,615 confirmed cases and 263 number of deaths from March 14, 2020 to July 31, 2020 in Ethiopia. Conclusion: We found that the concentration of PM2.5 during COVID-19 was higher than before COVID-19. COVID-19 has implications for the fine particulate matter (PM2.5) pollution in metropolitan city.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implications of COVID-19 on The of Fine Particulate Matter (PM2.5) in Ethiopia

Bulto

Chebo

Ede

et al. 2020

Preprint

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“…But at the same time, some of them found that ozone increased distinctly. Similarly, (Kerimray et al 2020) indicated the concentrations of NO 2 , PM 2.5 , and CO reduced obviously.…”

Section: Introductionmentioning

confidence: 92%

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

Chang

2020

Preprint

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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.

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“…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%

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

Sekar

Jasna

Binoy

et al. 2020

Preprint

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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.

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Assessing air quality changes in large cities during COVID-19 lockdowns: The impacts of traffic-free urban conditions in Almaty, Kazakhstan

Cited by 405 publications

References 11 publications

Implications of COVID-19 on The of Fine Particulate Matter (PM2.5) in Ethiopia

Implications of COVID-19 on The of Fine Particulate Matter (PM2.5) in Ethiopia

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

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