On the transition of major pollutant and O 3 production regime during Covid-19 lockdowns

Lockdowns enforced amid the pandemic facilitated the evaluation of the impact of emission reductions on air quality and the production regime of O under NOx reduction. Analysis of space-time variation of various pollutants (PM10, PM2.5, NOx, CO, O and VOC or TNMHC) through the lockdown phases at eig...

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Veröffentlicht in:Journal of environmental management 2023-02, Vol.328, p.116907
Hauptverfasser: R, Latha, Bano, Shahana, More, Dolly, Ambulkar, Rupal, Mondal, Trina, Maurya, Priyadarshi, Bs, Murthy
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container_start_page 116907
container_title Journal of environmental management
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creator R, Latha
Bano, Shahana
More, Dolly
Ambulkar, Rupal
Mondal, Trina
Maurya, Priyadarshi
Bs, Murthy
description Lockdowns enforced amid the pandemic facilitated the evaluation of the impact of emission reductions on air quality and the production regime of O under NOx reduction. Analysis of space-time variation of various pollutants (PM10, PM2.5, NOx, CO, O and VOC or TNMHC) through the lockdown phases at eight typical stations (Urban/Metro, Rural/high vegetation and coastal) is carried out. It reveals how the major pollutant (PM10 or PM2.5 or O , or CO) differs from station to station as lockdowns progress depending on geography, land-use pattern and efficacy of lockdown implementation. Among the stations analyzed, Delhi (Chandnichowk), the most polluted (PM10 = 203 μgm ; O  = 17.4 ppbv) in pre-lockdown, experienced maximum reduction during the first phase of lockdown in PM2.5 (-47%), NO (-40%), CO (-37%) while O remained almost the same (2% reduction) to pre-lockdown levels. The least polluted Mahabaleshwar (PM10 = 45 μgm ; O  = 54 ppbv) witnessed relatively less reduction in PM2.5 (-2.9%), NO (-4.7%), CO (-49%) while O increased by 36% to pre-lockdown levels. In rural stations with lots of greenery, O is the major pollutant attributed to biogenic VOC emissions from vegetation besides lower NO levels. In other stations, PM2.5 or PM10 is the primary pollutant. At Chennai, Jabalpur, Mahabaleshwar and Goa, the deciding factor of Air Quality Index (AQI) remained unchanged, with reduced values. Particulate matter, PM10 decided AQI for three stations (dust as control component), and PM2.5 decided the same for two but within acceptable limits for stations. Improvement of AQI through control of dust would prove beneficial for Chennai and Patiala; anthropogenic emission control would work for Chandani chowk, Goa and Patiala; emission control of CO is required for Mahabaleshwar and Thiruvanathapuram. Under low VOC/NOx ratio conditions, O varies with the ratio, NO/NO , with a negative (positive) slope indicating VOC-sensitive (NOx-sensitive) regime. Peak O isopleths as a function of NOx and VOC depicting distinct patterns suggest that O variation is entirely non-linear for a given NOx or VOC.
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subjects Air Pollutants - analysis
Air Pollution - analysis
Air Pollution - prevention & control
Communicable Disease Control
COVID-19 - epidemiology
COVID-19 - prevention & control
Dust - analysis
Environmental Monitoring
Environmental Pollutants - analysis
Humans
India
Nitrogen Dioxide - analysis
Particulate Matter - analysis
title On the transition of major pollutant and O 3 production regime during Covid-19 lockdowns
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