TY - JOUR
T1 - Global air quality and covid-19 pandemic
T2 - Do we breathe cleaner air?
AU - Torkmahalleh, Mehdi Amouei
AU - Akhmetvaliyeva, Zarina
AU - Omran, Ali Darvishi
AU - Omran, Faezeh Darvish
AU - Kazemitabar, Mohadeseh
AU - Naseri, Mahtab
AU - Naseri, Motahareh
AU - Sharifi, Hamed
AU - Malekipirbazari, Milad
AU - Adotey, Enoch Kwasi
AU - Gorjinezhad, Soudabeh
AU - Eghtesadi, Neda
AU - Sabanov, Sergei
AU - Alastuey, Andrés
AU - Andrade, María de Fátima
AU - Buonanno, Giorgio
AU - Carbone, Samara
AU - Cárdenas-Fuentes, Diego Ernesto
AU - Cassee, Flemming R.
AU - Dai, Qili
AU - Henríquez, Andrés
AU - Hopke, Philip K.
AU - Keronen, Petri
AU - Khwaja, Haider Abbas
AU - Kim, Jong
AU - Kulmala, Markku
AU - Kumar, Prashant
AU - Kushta, Jonilda
AU - Kuula, Joel
AU - Massagué, Jordi
AU - Mitchell, Tamsin
AU - Mooibroek, Dennis
AU - Morawska, Lidia
AU - Niemi, Jarkko V.
AU - Ngagine, Soulemane Halif
AU - Norman, Michael
AU - Oyama, Beatríz
AU - Oyola, Pedro
AU - Öztürk, Fatma
AU - Petäjä, Tuukka
AU - Querol, Xavier
AU - Rashidi, Yousef
AU - Reyes, Felipe
AU - Ross-Jones, Matthew
AU - Salthammer, Tunga
AU - Savvides, Chrysanthos
AU - Stabile, Luca
AU - Sjöberg, Karin
AU - Söderlund, Karin
AU - Raman, Ramya Sunder
AU - Timonen, Hilkka
AU - Umezawa, Masakazu
AU - Viana, Mar
AU - Xie, Shanju
N1 - Funding Information:
The authors of this study truly appreciate the funding provided by Nazarbayev University through the Collaborative Research Grant (grant number: 091019CRP2104). MAT, MN, EA, and NE are the members of the Chemical and Aerosol Research Team (CART) and also the Environment and Resource Efficiency Cluster (EREC) at Nazarbayev University, and they would like to acknowledge the resources provided by CART and EREC to conduct this research. For India, except for Delhi, daily and hourly averaged air quality data were obtained from the Central Pollution Control Board (CPCB) CCR, OpenAQ or Air quality historical data platform, and location of stations were obtained from the OpenAQ website. CPCB is gratefully acknowledged for making the data available. Further, the CPCB data were consolidated and curated by Mr Prem Maheshwarkar, Earth and Environmental Sciences, IISER Bhopal whose contribution is also acknowledged. In Chile, the contributions made by Mr. Roberto Martinez, Head of the Planning and the Standards, Department of the Air Quality and Climate Change Division, Ministry for the Environment to provide data to this study, are greatly appreciated. In Brazil, CETESB (Environmental Company of the State of Sao Paulo) is acknowledged for its contribution to data preparation. In Cyprus, the authors would like to thank the Department of Labor Inspection of the Ministry of Environment of the Republic of Cyprus for providing the observational data for their monitoring network. For New Zealand, authors acknowledge the Environment Canterbury as the source for the Christchurch data. For Spain, Barcelona, the authors would like to thank "Department of Environmental Quality, Generalitat de Catalunya" as the data source. Turkish Ministry of Environment and Urbanization and Turkish State of Meteorological Services provided air quality and meteorological data, respectively, that are greatly appreciated. In the Netherlands, data were obtained from the National Institute for Public Health and the Environment (RIVM) and contained additional data from the GGD Amsterdam (provided by Dave de Jonge) and the DCMR Environmental Protection Agency (provided by Ed van der Gaag) and National Institute for Public Health and the Environment (RIVM) that are greatly appreciated. The authors would like to thank Tehran Air Quality Control Company for providing the data for the city of Tehran.
Publisher Copyright:
© The Author(s).
PY - 2021/4
Y1 - 2021/4
N2 - The global spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has challenged most countries worldwide. It was quickly recognized that reduced activities (lockdowns) during the Coronavirus Disease of 2019 (COVID-19) pandemic produced major changes in air quality. Our objective was to assess the impacts of COVID-19 lockdowns on ground-level PM2.5, NO2, and O3 concentrations on a global scale. We obtained data from 34 countries, 141 cities, and 458 air monitoring stations on 5 continents (few data from Africa). On a global average basis, a 34.0% reduction in NO2 concentration and a 15.0% reduction in PM2.5 were estimated during the strict lockdown period (until April 30, 2020). Global average O3 concentration increased by 86.0% during this same period. Individual country and continent-wise comparisons have been made between lockdown and business-as-usual periods. Universally, NO2 was the pollutant most affected by the COVID-19 pandemic. These effects were likely because its emissions were from sources that were typically restricted (i.e., surface traffic and non-essential industries) by the lockdowns and its short lifetime in the atmosphere. Our results indicate that lockdown measures and resulting reduced emissions reduced exposure to most harmful pollutants and could provide global-scale health benefits. However, the increased O3 may have substantially reduced those benefits and more detailed health assessments are required to accurately quantify the health gains. At the same, these restrictions were obtained at substantial economic costs and with other health issues (depression, suicide, spousal abuse, drug overdoses, etc.). Thus, any similar reductions in air pollution would need to be obtained without these extensive economic and other consequences produced by the imposed activity reductions.
AB - The global spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has challenged most countries worldwide. It was quickly recognized that reduced activities (lockdowns) during the Coronavirus Disease of 2019 (COVID-19) pandemic produced major changes in air quality. Our objective was to assess the impacts of COVID-19 lockdowns on ground-level PM2.5, NO2, and O3 concentrations on a global scale. We obtained data from 34 countries, 141 cities, and 458 air monitoring stations on 5 continents (few data from Africa). On a global average basis, a 34.0% reduction in NO2 concentration and a 15.0% reduction in PM2.5 were estimated during the strict lockdown period (until April 30, 2020). Global average O3 concentration increased by 86.0% during this same period. Individual country and continent-wise comparisons have been made between lockdown and business-as-usual periods. Universally, NO2 was the pollutant most affected by the COVID-19 pandemic. These effects were likely because its emissions were from sources that were typically restricted (i.e., surface traffic and non-essential industries) by the lockdowns and its short lifetime in the atmosphere. Our results indicate that lockdown measures and resulting reduced emissions reduced exposure to most harmful pollutants and could provide global-scale health benefits. However, the increased O3 may have substantially reduced those benefits and more detailed health assessments are required to accurately quantify the health gains. At the same, these restrictions were obtained at substantial economic costs and with other health issues (depression, suicide, spousal abuse, drug overdoses, etc.). Thus, any similar reductions in air pollution would need to be obtained without these extensive economic and other consequences produced by the imposed activity reductions.
KW - COVID-19 pandemic
KW - Global air quality
KW - NO2
KW - O3
KW - PM2.5
KW - SARS-CoV-2
KW - Ventilation
KW - Particulate matter (PM)
UR - http://www.scopus.com/inward/record.url?scp=85103255938&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85103255938&partnerID=8YFLogxK
U2 - 10.4209/aaqr.200567
DO - 10.4209/aaqr.200567
M3 - Article
AN - SCOPUS:85103255938
SN - 1680-8584
VL - 21
JO - Aerosol and Air Quality Research
JF - Aerosol and Air Quality Research
IS - 4
M1 - 200567
ER -