Heterogeneous impacts of mobility restrictions on air quality in the State of Sao Paulo during the COVID-19 pandemic

Air quality in the State of Sao Paulo was evaluated during the first general State plan of mobility restrictions due to the COVID-19 pandemic (24th March to May 31, 2020). Nitrogen dioxide (NO2), ozone (O3), particulate matter PM10 and PM2.5 and sulphur dioxide (SO2) concentrations were assessed in...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Environmental pollution (1987) 2022-05, Vol.300, p.118984-118984, Article 118984
Hauptverfasser: Cirqueira, Samirys Sara Rodrigues, Rodrigues, Patricia Ferrini, Branco, Pedro, Vormittag, Evangelina, Nunes, Rafael, Anastacio, Andressa Vilas Boas, Veras, Mariana, Sousa, Sofia, Saldiva, Paulo Hilário Nascimento
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 118984
container_issue
container_start_page 118984
container_title Environmental pollution (1987)
container_volume 300
creator Cirqueira, Samirys Sara Rodrigues
Rodrigues, Patricia Ferrini
Branco, Pedro
Vormittag, Evangelina
Nunes, Rafael
Anastacio, Andressa Vilas Boas
Veras, Mariana
Sousa, Sofia
Saldiva, Paulo Hilário Nascimento
description Air quality in the State of Sao Paulo was evaluated during the first general State plan of mobility restrictions due to the COVID-19 pandemic (24th March to May 31, 2020). Nitrogen dioxide (NO2), ozone (O3), particulate matter PM10 and PM2.5 and sulphur dioxide (SO2) concentrations were assessed in cities of the Sao Paulo State with a monitoring station and compared to historical data. Linear regression models were built to investigate the relationship between the isolation of the population – determined using mobile phone monitoring data - and the concentration of each pollutant during the studied period. Although the reduction of pollutants such as NO2, SO2 and PM2.5 is very clear, the economic and climatic characteristics of each region were decisive in the general behaviour of O3 and PM10. It was not possible to establish a correlation between the pollutants and the isolation index, partly due to the lack of data, partly due to the compliance of the population to those measurements, which was variable over time. Another important limitation factor was the absence of data related to the pollutants of interest in many of the stations. However, the isolation measures carried out in the State opened the opportunity to individually assess the air quality measurements in each of the stations, enabling an understanding that will allow in the future the design of air quality policies together with local sanitary policies. [Display omitted] •We assessed the impact of mobility restrictions on air pollution in Sao Paulo.•65 stations where used to assess air quality in 35 cities.•NO2, O3, PM2.5, PM10 and SO2 in 2020 were compared to historical data.•Results show heterogeneous changes in air quality and no correlation with mobility.•Air quality policies should consider health and economic regional differences.
doi_str_mv 10.1016/j.envpol.2022.118984
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2628675162</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0269749122001981</els_id><sourcerecordid>2628675162</sourcerecordid><originalsourceid>FETCH-LOGICAL-c435t-13e7bde3b351ad55c33d952f0f72974a202cf87d75429cfce3a9b89fa6f5cb283</originalsourceid><addsrcrecordid>eNp9kEtv1DAUhS1ERaeFf4CQl2wy-JnEGyQ00IdUqUgFtpZjXxePkji1nUr9981MSpes7uKcc-89H0IfKdlSQusv-y2Mj1Pst4wwtqW0Va14gza0bXhVCybeog1htaoaoegpOst5TwgRnPN36JRLKmlL-QaVKyiQ4j2MEOeMwzAZWzKOHg-xC30oTzhBLinYEuK4CCM2IeGH2Ry1MOLyF_BdMQUOoTsT8U8z9xG7OYXx_qjubv9cf6-owpMZHQzBvkcn3vQZPrzMc_T74sev3VV1c3t5vft2U1nBZakoh6ZzwLvlXeOktJw7JZknvmGqEWYpbn3buEYKpqy3wI3qWuVN7aXtWMvP0ed175Tiw7zU0EPIFvreHNtqVrO2biSt2WIVq9WmmHMCr6cUBpOeNCX6wFvv9cpbH3jrlfcS-_RyYe4GcK-hf4AXw9fVAEvPxwBJZxtgtOBCAlu0i-H_F54BvWmT-g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2628675162</pqid></control><display><type>article</type><title>Heterogeneous impacts of mobility restrictions on air quality in the State of Sao Paulo during the COVID-19 pandemic</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Cirqueira, Samirys Sara Rodrigues ; Rodrigues, Patricia Ferrini ; Branco, Pedro ; Vormittag, Evangelina ; Nunes, Rafael ; Anastacio, Andressa Vilas Boas ; Veras, Mariana ; Sousa, Sofia ; Saldiva, Paulo Hilário Nascimento</creator><creatorcontrib>Cirqueira, Samirys Sara Rodrigues ; Rodrigues, Patricia Ferrini ; Branco, Pedro ; Vormittag, Evangelina ; Nunes, Rafael ; Anastacio, Andressa Vilas Boas ; Veras, Mariana ; Sousa, Sofia ; Saldiva, Paulo Hilário Nascimento</creatorcontrib><description>Air quality in the State of Sao Paulo was evaluated during the first general State plan of mobility restrictions due to the COVID-19 pandemic (24th March to May 31, 2020). Nitrogen dioxide (NO2), ozone (O3), particulate matter PM10 and PM2.5 and sulphur dioxide (SO2) concentrations were assessed in cities of the Sao Paulo State with a monitoring station and compared to historical data. Linear regression models were built to investigate the relationship between the isolation of the population – determined using mobile phone monitoring data - and the concentration of each pollutant during the studied period. Although the reduction of pollutants such as NO2, SO2 and PM2.5 is very clear, the economic and climatic characteristics of each region were decisive in the general behaviour of O3 and PM10. It was not possible to establish a correlation between the pollutants and the isolation index, partly due to the lack of data, partly due to the compliance of the population to those measurements, which was variable over time. Another important limitation factor was the absence of data related to the pollutants of interest in many of the stations. However, the isolation measures carried out in the State opened the opportunity to individually assess the air quality measurements in each of the stations, enabling an understanding that will allow in the future the design of air quality policies together with local sanitary policies. [Display omitted] •We assessed the impact of mobility restrictions on air pollution in Sao Paulo.•65 stations where used to assess air quality in 35 cities.•NO2, O3, PM2.5, PM10 and SO2 in 2020 were compared to historical data.•Results show heterogeneous changes in air quality and no correlation with mobility.•Air quality policies should consider health and economic regional differences.</description><identifier>ISSN: 0269-7491</identifier><identifier>EISSN: 1873-6424</identifier><identifier>DOI: 10.1016/j.envpol.2022.118984</identifier><identifier>PMID: 35151813</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Air Pollutants - analysis ; Air pollution ; Air Pollution - analysis ; Air quality ; Brazil ; Cities ; COVID-19 ; Environmental Monitoring ; Humans ; Mobility restrictions ; Pandemics ; Particulate Matter - analysis ; SARS-CoV-2 ; Social isolation</subject><ispartof>Environmental pollution (1987), 2022-05, Vol.300, p.118984-118984, Article 118984</ispartof><rights>2022 Elsevier Ltd</rights><rights>Copyright © 2022 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c435t-13e7bde3b351ad55c33d952f0f72974a202cf87d75429cfce3a9b89fa6f5cb283</citedby><cites>FETCH-LOGICAL-c435t-13e7bde3b351ad55c33d952f0f72974a202cf87d75429cfce3a9b89fa6f5cb283</cites><orcidid>0000-0002-4139-673X ; 0000-0002-8363-4329</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.envpol.2022.118984$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35151813$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cirqueira, Samirys Sara Rodrigues</creatorcontrib><creatorcontrib>Rodrigues, Patricia Ferrini</creatorcontrib><creatorcontrib>Branco, Pedro</creatorcontrib><creatorcontrib>Vormittag, Evangelina</creatorcontrib><creatorcontrib>Nunes, Rafael</creatorcontrib><creatorcontrib>Anastacio, Andressa Vilas Boas</creatorcontrib><creatorcontrib>Veras, Mariana</creatorcontrib><creatorcontrib>Sousa, Sofia</creatorcontrib><creatorcontrib>Saldiva, Paulo Hilário Nascimento</creatorcontrib><title>Heterogeneous impacts of mobility restrictions on air quality in the State of Sao Paulo during the COVID-19 pandemic</title><title>Environmental pollution (1987)</title><addtitle>Environ Pollut</addtitle><description>Air quality in the State of Sao Paulo was evaluated during the first general State plan of mobility restrictions due to the COVID-19 pandemic (24th March to May 31, 2020). Nitrogen dioxide (NO2), ozone (O3), particulate matter PM10 and PM2.5 and sulphur dioxide (SO2) concentrations were assessed in cities of the Sao Paulo State with a monitoring station and compared to historical data. Linear regression models were built to investigate the relationship between the isolation of the population – determined using mobile phone monitoring data - and the concentration of each pollutant during the studied period. Although the reduction of pollutants such as NO2, SO2 and PM2.5 is very clear, the economic and climatic characteristics of each region were decisive in the general behaviour of O3 and PM10. It was not possible to establish a correlation between the pollutants and the isolation index, partly due to the lack of data, partly due to the compliance of the population to those measurements, which was variable over time. Another important limitation factor was the absence of data related to the pollutants of interest in many of the stations. However, the isolation measures carried out in the State opened the opportunity to individually assess the air quality measurements in each of the stations, enabling an understanding that will allow in the future the design of air quality policies together with local sanitary policies. [Display omitted] •We assessed the impact of mobility restrictions on air pollution in Sao Paulo.•65 stations where used to assess air quality in 35 cities.•NO2, O3, PM2.5, PM10 and SO2 in 2020 were compared to historical data.•Results show heterogeneous changes in air quality and no correlation with mobility.•Air quality policies should consider health and economic regional differences.</description><subject>Air Pollutants - analysis</subject><subject>Air pollution</subject><subject>Air Pollution - analysis</subject><subject>Air quality</subject><subject>Brazil</subject><subject>Cities</subject><subject>COVID-19</subject><subject>Environmental Monitoring</subject><subject>Humans</subject><subject>Mobility restrictions</subject><subject>Pandemics</subject><subject>Particulate Matter - analysis</subject><subject>SARS-CoV-2</subject><subject>Social isolation</subject><issn>0269-7491</issn><issn>1873-6424</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtv1DAUhS1ERaeFf4CQl2wy-JnEGyQ00IdUqUgFtpZjXxePkji1nUr9981MSpes7uKcc-89H0IfKdlSQusv-y2Mj1Pst4wwtqW0Va14gza0bXhVCybeog1htaoaoegpOst5TwgRnPN36JRLKmlL-QaVKyiQ4j2MEOeMwzAZWzKOHg-xC30oTzhBLinYEuK4CCM2IeGH2Ry1MOLyF_BdMQUOoTsT8U8z9xG7OYXx_qjubv9cf6-owpMZHQzBvkcn3vQZPrzMc_T74sev3VV1c3t5vft2U1nBZakoh6ZzwLvlXeOktJw7JZknvmGqEWYpbn3buEYKpqy3wI3qWuVN7aXtWMvP0ed175Tiw7zU0EPIFvreHNtqVrO2biSt2WIVq9WmmHMCr6cUBpOeNCX6wFvv9cpbH3jrlfcS-_RyYe4GcK-hf4AXw9fVAEvPxwBJZxtgtOBCAlu0i-H_F54BvWmT-g</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Cirqueira, Samirys Sara Rodrigues</creator><creator>Rodrigues, Patricia Ferrini</creator><creator>Branco, Pedro</creator><creator>Vormittag, Evangelina</creator><creator>Nunes, Rafael</creator><creator>Anastacio, Andressa Vilas Boas</creator><creator>Veras, Mariana</creator><creator>Sousa, Sofia</creator><creator>Saldiva, Paulo Hilário Nascimento</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4139-673X</orcidid><orcidid>https://orcid.org/0000-0002-8363-4329</orcidid></search><sort><creationdate>20220501</creationdate><title>Heterogeneous impacts of mobility restrictions on air quality in the State of Sao Paulo during the COVID-19 pandemic</title><author>Cirqueira, Samirys Sara Rodrigues ; Rodrigues, Patricia Ferrini ; Branco, Pedro ; Vormittag, Evangelina ; Nunes, Rafael ; Anastacio, Andressa Vilas Boas ; Veras, Mariana ; Sousa, Sofia ; Saldiva, Paulo Hilário Nascimento</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c435t-13e7bde3b351ad55c33d952f0f72974a202cf87d75429cfce3a9b89fa6f5cb283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Air Pollutants - analysis</topic><topic>Air pollution</topic><topic>Air Pollution - analysis</topic><topic>Air quality</topic><topic>Brazil</topic><topic>Cities</topic><topic>COVID-19</topic><topic>Environmental Monitoring</topic><topic>Humans</topic><topic>Mobility restrictions</topic><topic>Pandemics</topic><topic>Particulate Matter - analysis</topic><topic>SARS-CoV-2</topic><topic>Social isolation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cirqueira, Samirys Sara Rodrigues</creatorcontrib><creatorcontrib>Rodrigues, Patricia Ferrini</creatorcontrib><creatorcontrib>Branco, Pedro</creatorcontrib><creatorcontrib>Vormittag, Evangelina</creatorcontrib><creatorcontrib>Nunes, Rafael</creatorcontrib><creatorcontrib>Anastacio, Andressa Vilas Boas</creatorcontrib><creatorcontrib>Veras, Mariana</creatorcontrib><creatorcontrib>Sousa, Sofia</creatorcontrib><creatorcontrib>Saldiva, Paulo Hilário Nascimento</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental pollution (1987)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cirqueira, Samirys Sara Rodrigues</au><au>Rodrigues, Patricia Ferrini</au><au>Branco, Pedro</au><au>Vormittag, Evangelina</au><au>Nunes, Rafael</au><au>Anastacio, Andressa Vilas Boas</au><au>Veras, Mariana</au><au>Sousa, Sofia</au><au>Saldiva, Paulo Hilário Nascimento</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Heterogeneous impacts of mobility restrictions on air quality in the State of Sao Paulo during the COVID-19 pandemic</atitle><jtitle>Environmental pollution (1987)</jtitle><addtitle>Environ Pollut</addtitle><date>2022-05-01</date><risdate>2022</risdate><volume>300</volume><spage>118984</spage><epage>118984</epage><pages>118984-118984</pages><artnum>118984</artnum><issn>0269-7491</issn><eissn>1873-6424</eissn><abstract>Air quality in the State of Sao Paulo was evaluated during the first general State plan of mobility restrictions due to the COVID-19 pandemic (24th March to May 31, 2020). Nitrogen dioxide (NO2), ozone (O3), particulate matter PM10 and PM2.5 and sulphur dioxide (SO2) concentrations were assessed in cities of the Sao Paulo State with a monitoring station and compared to historical data. Linear regression models were built to investigate the relationship between the isolation of the population – determined using mobile phone monitoring data - and the concentration of each pollutant during the studied period. Although the reduction of pollutants such as NO2, SO2 and PM2.5 is very clear, the economic and climatic characteristics of each region were decisive in the general behaviour of O3 and PM10. It was not possible to establish a correlation between the pollutants and the isolation index, partly due to the lack of data, partly due to the compliance of the population to those measurements, which was variable over time. Another important limitation factor was the absence of data related to the pollutants of interest in many of the stations. However, the isolation measures carried out in the State opened the opportunity to individually assess the air quality measurements in each of the stations, enabling an understanding that will allow in the future the design of air quality policies together with local sanitary policies. [Display omitted] •We assessed the impact of mobility restrictions on air pollution in Sao Paulo.•65 stations where used to assess air quality in 35 cities.•NO2, O3, PM2.5, PM10 and SO2 in 2020 were compared to historical data.•Results show heterogeneous changes in air quality and no correlation with mobility.•Air quality policies should consider health and economic regional differences.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>35151813</pmid><doi>10.1016/j.envpol.2022.118984</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-4139-673X</orcidid><orcidid>https://orcid.org/0000-0002-8363-4329</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0269-7491
ispartof Environmental pollution (1987), 2022-05, Vol.300, p.118984-118984, Article 118984
issn 0269-7491
1873-6424
language eng
recordid cdi_proquest_miscellaneous_2628675162
source MEDLINE; ScienceDirect Journals (5 years ago - present)
subjects Air Pollutants - analysis
Air pollution
Air Pollution - analysis
Air quality
Brazil
Cities
COVID-19
Environmental Monitoring
Humans
Mobility restrictions
Pandemics
Particulate Matter - analysis
SARS-CoV-2
Social isolation
title Heterogeneous impacts of mobility restrictions on air quality in the State of Sao Paulo during the COVID-19 pandemic
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T11%3A34%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Heterogeneous%20impacts%20of%20mobility%20restrictions%20on%20air%20quality%20in%20the%20State%20of%20Sao%20Paulo%20during%20the%20COVID-19%20pandemic&rft.jtitle=Environmental%20pollution%20(1987)&rft.au=Cirqueira,%20Samirys%20Sara%20Rodrigues&rft.date=2022-05-01&rft.volume=300&rft.spage=118984&rft.epage=118984&rft.pages=118984-118984&rft.artnum=118984&rft.issn=0269-7491&rft.eissn=1873-6424&rft_id=info:doi/10.1016/j.envpol.2022.118984&rft_dat=%3Cproquest_cross%3E2628675162%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2628675162&rft_id=info:pmid/35151813&rft_els_id=S0269749122001981&rfr_iscdi=true