AI Article Synopsis

  • The pandemic lockdowns allowed researchers to assess how reduced emissions impacted air quality across different locations, analyzing pollutants like PM10, PM2.5, NOx, CO, and ozone (O) at various stations.
  • Major differences in pollutant levels were noted in specific cities, with Delhi experiencing significant reductions in PM2.5, NO, and CO during lockdown while rural areas like Mahabaleshwar showed minor changes and even an increase in ozone levels.
  • The findings suggest that air quality improvements depend on the type of pollutants dominating each region, with recommendations for targeted emission controls to enhance air quality across various locations.

Article Abstract

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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Source
http://dx.doi.org/10.1016/j.jenvman.2022.116907DOI Listing

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