Ambient air quality of a less industrialized region of India (Kerala) during the COVID-19 lockdown

Thomas, Jobin; Jainet, P J; Sudheer, K. P.

doi:10.1016/j.ancene.2020.100270

Cited by 22 publications

(18 citation statements)

References 42 publications

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“…Chandigarh showed a decrement of 16.3% from 21-days before lockdown to the first phase of lockdown and then showed an enhancement of 5.4% in the second phase of lockdown compared to the first phase. A sharp reduction in the range of 24-67% is also reported over Kerala amid lockdown and meteorological changes [39].…”

Section: Carbon Monoxide (Co)mentioning

confidence: 84%

“…PM measurements over Gadanki, a rural site in south India revealed that PM2.5 and PM10 dropped down by $47% and 50% respectively from pre-lockdown (15th Feb -21st Mar 2020) to lockdown [36]. Similarly, studies over south India reported that PM2.5 reduced by 53%, 15-22%, and 24-47% over Kunnur, Bengaluru and Kerala respectively during lockdown over pre-lockdown (1st Jan-22nd Mar 2020) [30,39,40]. Thus, a decrease in traffic density, human mobility, shutting of industries drastically reduced PM pollution over India leading to the emergence of blue sky after a decade [25,43].…”

Section: Particulate Matter (Pm)mentioning

confidence: 98%

“…Significant reduction in the range of 41-55% in NOx concentration is also observed at Chennai, the southern coastal site of India. Studies over Hyderabad and Kerala specified NO2 concentration dropped down by 33% and 48% respectively during lockdown over pre-lockdown [39,63] . NO2 concentration curbed down by $60% and 30-84% from pre-lockdown to lockdown over Maharashtra and Gujrat respectively [31,38].…”

Section: Nitrogen Oxides (Nox)mentioning

confidence: 99%

See 2 more Smart Citations

COVID-19 Lockdown and the Aerosphere in India: Lessons Learned on How to Reduce Air Pollution

Panda¹,

Satpathy²,

Das³

et al. 2022

Biotechnology to Combat COVID-19

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The giant increase in COVID-19 infection across India forced the government to impose strict lockdown in order to curb the pandemic. Although the stringent restrictions crippled India’s economy and poor people’s livelihood, it significantly improved the air quality of most of the polluted cities of India and rejuvenated the atmosphere. Thus, the major objective of this study is to provide a comprehensive overview of lockdown on pollutants prevailing in the atmosphere. A prominent decline in primary pollutants such as Particulate matter (PM), Black carbon (BC), Oxides of nitrogen (NOx), Carbon monoxide (CO) is observed across the country. However, lockdown had a trifling impact on Sulphur dioxide (SO2) concentration over some parts of India due to the constant operation of coal-fired thermal plants as a part of essential service. Furthermore, the sudden decline in NOx concentration disturbed the complex atmospheric chemistry and lead to an enhancement of surface ozone (O3) (secondary pollutant) in many cities of India. Thus, lockdown emerged as a unique opportunity for the atmospheric researchers, policymakers as well as stakeholders to collect baseline data of pollutants and their major sources. This will help to set new targets of air quality standards and to develop various mitigation processes to combat air pollution.

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Section: Carbon Monoxide (Co)mentioning

confidence: 84%

Section: Particulate Matter (Pm)mentioning

confidence: 98%

Section: Nitrogen Oxides (Nox)mentioning

confidence: 99%

See 1 more Smart Citation

COVID-19 Lockdown and the Aerosphere in India: Lessons Learned on How to Reduce Air Pollution

Panda¹,

Satpathy²,

Das³

et al. 2022

Biotechnology to Combat COVID-19

View full text Add to dashboard Cite

show abstract

“…The efficiency of such cyclones ranges between 75 and 85 %, for particles larger than 20 μm in size. However, this is not sufficient in terms of the objectives laid down in the EU Directive 2008/50/EC on ambient air quality and cleaner air for Europe [21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 97%

Experimental investigation of a one-level eight-channel cyclone-separator incorporating quarter-rings

Chlebnikovas

2021

Hem Ind

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The main aim of this investigation was an experimental analysis of the air cleaning efficiency in a mock-up next-generation air cleaning device - one-level 8-channel industrial cyclone-separator with quarter-rings - while changing parameters of the inner structure and the assessment of the effects of dispersion of particulate matter. Therefore, the research was carried out in two stages: the first stage covered the analysis of the efficiency of the multi-channel cyclone with particulate matter of <20 and <50 ?m. During the second stage, a cascade impactor was used to measure the particle collection efficiency in the multi-channel cyclone by fractions: PM1, PM2.5 and PM10. Results of the tests with using the cascade impactor were compared to show changes in the PM composition before and after the multi-channel cyclone-separator. According to the obtained experimental data, the one-level 8-channel cyclone-separator collects 70 to 80 % of PM up to 10 ?m in size, 45 to 60 % of PM up to 2.5 ?m in size and 21 to 25 % of PM up to 1 ?m in size.

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“…In China, the country where SARS-CoV-2 had its origin and where the isolation measures were started in January 2020, the reduction of atmospheric pollutants, such as NO 2 (Venter et al 2020 ; Wang et al 2020 ; Chen et al 2020 ; Chen et al 2021 ) and PM 2,5 (Venter et al 2020 ; Chen et al 2020 ; Giani et al 2020 ; Shi et al 2021 ), has been verified after the adoption of measures to cope Covid-19. In Southeast Asia, air quality during the pandemic period was also object of study, with improvement in cities like India (Mahato et al 2020 ; Thomas et al 2020 ; Tyagi et al 2021 ). In Pakistan, on the other hand there were no significant changes in PM 2,5 (Mehmood et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Impacts of Covid-19 interventions on air quality: evidence from Brazilian metropolitan regions

Silva

Zamprogna

et al. 2022

Int. J. Environ. Sci. Technol.

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The Covid-19 pandemic has negatively disrupted the way our economy and society functions. Nonetheless, there have also been some positive externalities of the pandemic on the environment. This paper aims to evaluate the concentration of nitrogen dioxide in Brazilian metropolitan regions after the policies adopted to confront Covid-19. In terms of methodological approach, the study employs cross-sectional quantitative analyses to compare the period of 36 days, i.e., 12 March to 16 April—before (in 2019) and after (in 2020) the pandemic declaration. The data were obtained from the Sentinel 5-P low-Earth polar satellite concerning Brazilian metropolitan regions (n = 24). Thorough spatial and statistical analyses were undertaken to identify the pre- and during pandemic nitrogen dioxide concentrations. Complementarily, Spearman’s correlation test was performed with variables that impact air quality. The study results a fall in nitrogen dioxide concentration levels in 21 of the 24 metropolitan regions which was observed. The Spearman’s correlation coefficient between the nitrogen dioxide variation and the vehicle density was 0.485, at a significance level of 0.05. With these findings in mind, the paper advocates that while the pandemic has a significant negative consequence on the health of population globally, a series of measures that result in a new social organization directly interfere in the reduction of air pollution that contributes to the quality of the air we breathe.

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Ambient air quality of a less industrialized region of India (Kerala) during the COVID-19 lockdown

Abstract: Graphical abstract

Cited by 22 publications

References 42 publications

COVID-19 Lockdown and the Aerosphere in India: Lessons Learned on How to Reduce Air Pollution

COVID-19 Lockdown and the Aerosphere in India: Lessons Learned on How to Reduce Air Pollution

Experimental investigation of a one-level eight-channel cyclone-separator incorporating quarter-rings

Impacts of Covid-19 interventions on air quality: evidence from Brazilian metropolitan regions

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