Cargando…
Urban air pollution reduction: evidence from phase-wise analysis of COVID-19 pandemic lockdown
Until 31 May 2020, more than six million confirm COVID-19 cases had been reported worldwide. Lockdown has resulted in significant air quality improvement, especially in urban regions. The lockdown has acted as a natural experiment empowering researchers, policymakers, and governing bodies. The prese...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284691/ http://dx.doi.org/10.1007/s12517-021-07777-x |
_version_ | 1783723438361280512 |
---|---|
author | Yadav, Shailendra Kumar Sharma, Raghav Kumar, Sankalp Agarwal, Aviral Mohan, Vignesh Mishra, Rajeev Kumar Shukla, Ankita |
author_facet | Yadav, Shailendra Kumar Sharma, Raghav Kumar, Sankalp Agarwal, Aviral Mohan, Vignesh Mishra, Rajeev Kumar Shukla, Ankita |
author_sort | Yadav, Shailendra Kumar |
collection | PubMed |
description | Until 31 May 2020, more than six million confirm COVID-19 cases had been reported worldwide. Lockdown has resulted in significant air quality improvement, especially in urban regions. The lockdown has acted as a natural experiment empowering researchers, policymakers, and governing bodies. The present study focuses on quantifying and analysing the effect of lockdown on India’s metropolitan cities, namely New Delhi, Mumbai, Kolkata, Chennai, and Bangalore. The study analyses the phase-wise and diurnal variations in the air quality from 24 March 2020 to 31 May 2020 while focussing on-peak and off-peak duration concentrations. To investigate the reason behind pollutant reduction, correlation of drop percentages in pollutant concentrations with vehicle population, extent of construction activity, and meteorological parameters are analysed. The 24-h drop in PM(10) and PM(2.5) showed a high correlation (R(2) = 0.97 and 0.72, respectively) with the city’s vehicle population. During peak hours, the inland cities (Delhi and Bangalore), with a more extensive vehicle fleet, recorded a higher drop in PM(10) and PM(2.5) concentrations than coastal cities (Mumbai, Chennai, and Kolkata). With respect to 2019 concentration, the maximum decrease in pollutant concentrations averaged across the five study locations was recorded in NO(2) (46%), followed by PM(2.5) (40%), PM(10) (37%), and CO (19%). SO(2) and O(3) contrarily recorded an overall increase of 40% and 41%. These results wherein vehicular pollutants recorded the maximum drop indicate that reduced vehicular traffic primarily influenced air quality improvement during the lockdown. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12517-021-07777-x. |
format | Online Article Text |
id | pubmed-8284691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82846912021-07-19 Urban air pollution reduction: evidence from phase-wise analysis of COVID-19 pandemic lockdown Yadav, Shailendra Kumar Sharma, Raghav Kumar, Sankalp Agarwal, Aviral Mohan, Vignesh Mishra, Rajeev Kumar Shukla, Ankita Arab J Geosci Original Paper Until 31 May 2020, more than six million confirm COVID-19 cases had been reported worldwide. Lockdown has resulted in significant air quality improvement, especially in urban regions. The lockdown has acted as a natural experiment empowering researchers, policymakers, and governing bodies. The present study focuses on quantifying and analysing the effect of lockdown on India’s metropolitan cities, namely New Delhi, Mumbai, Kolkata, Chennai, and Bangalore. The study analyses the phase-wise and diurnal variations in the air quality from 24 March 2020 to 31 May 2020 while focussing on-peak and off-peak duration concentrations. To investigate the reason behind pollutant reduction, correlation of drop percentages in pollutant concentrations with vehicle population, extent of construction activity, and meteorological parameters are analysed. The 24-h drop in PM(10) and PM(2.5) showed a high correlation (R(2) = 0.97 and 0.72, respectively) with the city’s vehicle population. During peak hours, the inland cities (Delhi and Bangalore), with a more extensive vehicle fleet, recorded a higher drop in PM(10) and PM(2.5) concentrations than coastal cities (Mumbai, Chennai, and Kolkata). With respect to 2019 concentration, the maximum decrease in pollutant concentrations averaged across the five study locations was recorded in NO(2) (46%), followed by PM(2.5) (40%), PM(10) (37%), and CO (19%). SO(2) and O(3) contrarily recorded an overall increase of 40% and 41%. These results wherein vehicular pollutants recorded the maximum drop indicate that reduced vehicular traffic primarily influenced air quality improvement during the lockdown. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12517-021-07777-x. Springer International Publishing 2021-07-16 2021 /pmc/articles/PMC8284691/ http://dx.doi.org/10.1007/s12517-021-07777-x Text en © Saudi Society for Geosciences 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Yadav, Shailendra Kumar Sharma, Raghav Kumar, Sankalp Agarwal, Aviral Mohan, Vignesh Mishra, Rajeev Kumar Shukla, Ankita Urban air pollution reduction: evidence from phase-wise analysis of COVID-19 pandemic lockdown |
title | Urban air pollution reduction: evidence from phase-wise analysis of COVID-19 pandemic lockdown |
title_full | Urban air pollution reduction: evidence from phase-wise analysis of COVID-19 pandemic lockdown |
title_fullStr | Urban air pollution reduction: evidence from phase-wise analysis of COVID-19 pandemic lockdown |
title_full_unstemmed | Urban air pollution reduction: evidence from phase-wise analysis of COVID-19 pandemic lockdown |
title_short | Urban air pollution reduction: evidence from phase-wise analysis of COVID-19 pandemic lockdown |
title_sort | urban air pollution reduction: evidence from phase-wise analysis of covid-19 pandemic lockdown |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284691/ http://dx.doi.org/10.1007/s12517-021-07777-x |
work_keys_str_mv | AT yadavshailendrakumar urbanairpollutionreductionevidencefromphasewiseanalysisofcovid19pandemiclockdown AT sharmaraghav urbanairpollutionreductionevidencefromphasewiseanalysisofcovid19pandemiclockdown AT kumarsankalp urbanairpollutionreductionevidencefromphasewiseanalysisofcovid19pandemiclockdown AT agarwalaviral urbanairpollutionreductionevidencefromphasewiseanalysisofcovid19pandemiclockdown AT mohanvignesh urbanairpollutionreductionevidencefromphasewiseanalysisofcovid19pandemiclockdown AT mishrarajeevkumar urbanairpollutionreductionevidencefromphasewiseanalysisofcovid19pandemiclockdown AT shuklaankita urbanairpollutionreductionevidencefromphasewiseanalysisofcovid19pandemiclockdown |