Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis

Abstract Based on a time series analysis of the criteria pollutants, meteorological parameters, and COVID-19 positive cases, this paper explores the impact of epidemic prevention and control actions on air quality for five different periods of COVID-19 outbreak in Delhi, India. The study found that...

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Main Authors: Abhishek Dutta, Wanida Jinsart
Format: Article
Language:English
Published: Springer 2020-11-01
Series:Aerosol and Air Quality Research
Subjects:
Online Access:https://doi.org/10.4209/aaqr.2020.07.0417
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author Abhishek Dutta
Wanida Jinsart
author_facet Abhishek Dutta
Wanida Jinsart
author_sort Abhishek Dutta
collection DOAJ
description Abstract Based on a time series analysis of the criteria pollutants, meteorological parameters, and COVID-19 positive cases, this paper explores the impact of epidemic prevention and control actions on air quality for five different periods of COVID-19 outbreak in Delhi, India. The study found that under the epidemic control measure during 11 May–19 June 2020, the average concentrations of atmospheric air pollutants PM2.5, PM10, NO2, and CO were reduced to 42.15 µg m–3, 128.68 µg m–3, 27.31 ppb, and 0.83 ppm respectively, and were 73.85%, 46.48%, 63.43%, and 50.18% lower than the pre-COVID-19 level of January 2020, respectively. The steep fall of PM2.5, NO2, and CO was due to a drastic reduction in vehicular emission, but PM10 did not fall below the National Ambient Air Quality Standard. Between January 2020 to 11 May–19 June 2020 period, the pollutants O3 and SO2 increased significantly by 217.33% and 57.58 % respectively. The rise of SO2 in Delhi was due to long-distance transfer, power plant emissions, and biomass burning. The sharp increase of O3 happened due to accumulation in the atmosphere. During the peak COVID-19 phase (9 April–10 May 2020) Delhi had unprecedented improved AQI classes of II and III only. However, the pivotal pollutants in terms of their cumulative contribution to the AQI classes were PM10 and O3. Low RH and low-temperature situations exhibited positive correlations with the new COVID-19 infection cases in Delhi. Comparatively lower NO2 level in the air demonstrated a significant negative correlation with new COVID-19 cases while average SO2 concentration in the air, when increased to 24.05 ppb, showed a negative correlation with new COVID-19 cases in Delhi. This study indicated a possibility of O3 exhibiting a positive correlation with new COVID-19 cases under the condition of comparatively low temperature and low humidity.
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spelling doaj-art-1ef548f3af78457db5e77b7dd03b16482025-02-09T12:20:06ZengSpringerAerosol and Air Quality Research1680-85842071-14092020-11-0121313110.4209/aaqr.2020.07.0417Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An AnalysisAbhishek Dutta0Wanida Jinsart1Department of Environmental Science, Faculty of Science, Chulalongkorn University PathumwanDepartment of Environmental Science, Faculty of Science, Chulalongkorn University PathumwanAbstract Based on a time series analysis of the criteria pollutants, meteorological parameters, and COVID-19 positive cases, this paper explores the impact of epidemic prevention and control actions on air quality for five different periods of COVID-19 outbreak in Delhi, India. The study found that under the epidemic control measure during 11 May–19 June 2020, the average concentrations of atmospheric air pollutants PM2.5, PM10, NO2, and CO were reduced to 42.15 µg m–3, 128.68 µg m–3, 27.31 ppb, and 0.83 ppm respectively, and were 73.85%, 46.48%, 63.43%, and 50.18% lower than the pre-COVID-19 level of January 2020, respectively. The steep fall of PM2.5, NO2, and CO was due to a drastic reduction in vehicular emission, but PM10 did not fall below the National Ambient Air Quality Standard. Between January 2020 to 11 May–19 June 2020 period, the pollutants O3 and SO2 increased significantly by 217.33% and 57.58 % respectively. The rise of SO2 in Delhi was due to long-distance transfer, power plant emissions, and biomass burning. The sharp increase of O3 happened due to accumulation in the atmosphere. During the peak COVID-19 phase (9 April–10 May 2020) Delhi had unprecedented improved AQI classes of II and III only. However, the pivotal pollutants in terms of their cumulative contribution to the AQI classes were PM10 and O3. Low RH and low-temperature situations exhibited positive correlations with the new COVID-19 infection cases in Delhi. Comparatively lower NO2 level in the air demonstrated a significant negative correlation with new COVID-19 cases while average SO2 concentration in the air, when increased to 24.05 ppb, showed a negative correlation with new COVID-19 cases in Delhi. This study indicated a possibility of O3 exhibiting a positive correlation with new COVID-19 cases under the condition of comparatively low temperature and low humidity.https://doi.org/10.4209/aaqr.2020.07.0417COVID-19DelhiAir pollutantsAir Quality IndexMeteorological variables
spellingShingle Abhishek Dutta
Wanida Jinsart
Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis
Aerosol and Air Quality Research
COVID-19
Delhi
Air pollutants
Air Quality Index
Meteorological variables
title Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis
title_full Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis
title_fullStr Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis
title_full_unstemmed Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis
title_short Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis
title_sort air quality atmospheric variables and spread of covid 19 in delhi india an analysis
topic COVID-19
Delhi
Air pollutants
Air Quality Index
Meteorological variables
url https://doi.org/10.4209/aaqr.2020.07.0417
work_keys_str_mv AT abhishekdutta airqualityatmosphericvariablesandspreadofcovid19indelhiindiaananalysis
AT wanidajinsart airqualityatmosphericvariablesandspreadofcovid19indelhiindiaananalysis