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 |
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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. |
doi_str_mv | 10.1016/j.jenvman.2022.116907 |
format | Article |
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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.</description><identifier>EISSN: 1095-8630</identifier><identifier>DOI: 10.1016/j.jenvman.2022.116907</identifier><identifier>PMID: 36508979</identifier><language>eng</language><publisher>England</publisher><subject>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</subject><ispartof>Journal of environmental management, 2023-02, Vol.328, p.116907</ispartof><rights>Copyright © 2022 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36508979$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>R, Latha</creatorcontrib><creatorcontrib>Bano, Shahana</creatorcontrib><creatorcontrib>More, Dolly</creatorcontrib><creatorcontrib>Ambulkar, Rupal</creatorcontrib><creatorcontrib>Mondal, Trina</creatorcontrib><creatorcontrib>Maurya, Priyadarshi</creatorcontrib><creatorcontrib>Bs, Murthy</creatorcontrib><title>On the transition of major pollutant and O 3 production regime during Covid-19 lockdowns</title><title>Journal of environmental management</title><addtitle>J Environ Manage</addtitle><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.</description><subject>Air Pollutants - analysis</subject><subject>Air Pollution - analysis</subject><subject>Air Pollution - prevention & control</subject><subject>Communicable Disease Control</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - prevention & control</subject><subject>Dust - analysis</subject><subject>Environmental Monitoring</subject><subject>Environmental Pollutants - analysis</subject><subject>Humans</subject><subject>India</subject><subject>Nitrogen Dioxide - analysis</subject><subject>Particulate Matter - analysis</subject><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFzr1uwjAUQGELCRF--ghU9wUSrmMlwTNqxcbCwIYMNuA0vo5sh6pvXwnBzHSWbziMLTkWHHm9aovW0N0pKkosy4LzWmIzYlOOssrXtcCMzWJsEVGUvJmwTNQVrmUjp-ywI0g3AykoijZZT-Av4FTrA_S-64akKIEiDTsQ0Aevh_NDBXO1zoAegqUrbPzd6pxL6Pz5R_tfigs2vqgumo9n5-zz-2u_2eb9cHJGH_tgnQp_x9eKeAv-ATHmRk4</recordid><startdate>20230215</startdate><enddate>20230215</enddate><creator>R, Latha</creator><creator>Bano, Shahana</creator><creator>More, Dolly</creator><creator>Ambulkar, Rupal</creator><creator>Mondal, Trina</creator><creator>Maurya, Priyadarshi</creator><creator>Bs, Murthy</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope></search><sort><creationdate>20230215</creationdate><title>On the transition of major pollutant and O 3 production regime during Covid-19 lockdowns</title><author>R, Latha ; Bano, Shahana ; More, Dolly ; Ambulkar, Rupal ; Mondal, Trina ; Maurya, Priyadarshi ; Bs, Murthy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-pubmed_primary_365089793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Air Pollutants - analysis</topic><topic>Air Pollution - analysis</topic><topic>Air Pollution - prevention & control</topic><topic>Communicable Disease Control</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - prevention & control</topic><topic>Dust - analysis</topic><topic>Environmental Monitoring</topic><topic>Environmental Pollutants - analysis</topic><topic>Humans</topic><topic>India</topic><topic>Nitrogen Dioxide - analysis</topic><topic>Particulate Matter - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>R, Latha</creatorcontrib><creatorcontrib>Bano, Shahana</creatorcontrib><creatorcontrib>More, Dolly</creatorcontrib><creatorcontrib>Ambulkar, Rupal</creatorcontrib><creatorcontrib>Mondal, Trina</creatorcontrib><creatorcontrib>Maurya, Priyadarshi</creatorcontrib><creatorcontrib>Bs, Murthy</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>R, Latha</au><au>Bano, Shahana</au><au>More, Dolly</au><au>Ambulkar, Rupal</au><au>Mondal, Trina</au><au>Maurya, Priyadarshi</au><au>Bs, Murthy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the transition of major pollutant and O 3 production regime during Covid-19 lockdowns</atitle><jtitle>Journal of environmental management</jtitle><addtitle>J Environ Manage</addtitle><date>2023-02-15</date><risdate>2023</risdate><volume>328</volume><spage>116907</spage><pages>116907-</pages><eissn>1095-8630</eissn><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.</abstract><cop>England</cop><pmid>36508979</pmid><doi>10.1016/j.jenvman.2022.116907</doi></addata></record> |
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source | MEDLINE; Elsevier ScienceDirect Journals |
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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