A global observational analysis to understand changes in air quality during exceptionally low anthropogenic emission conditions

被引:160
作者
Sokhi, Ranjeet S. [1 ,2 ]
Singh, Vikas [3 ]
Querol, Xavier [4 ]
Finardi, Sandro [5 ]
Targino, Admir Creso [6 ]
Andrade, Maria de Fatima [7 ]
Pavlovic, Radenko [8 ]
Garland, Rebecca M. [9 ,10 ,11 ]
Massague, Jordi [4 ,12 ]
Kong, Shaofei [13 ]
Baklanov, Alexander [14 ]
Ren, Lu [15 ]
Tarasova, Oksana [14 ]
Carmichael, Greg [15 ]
Peuch, Vincent-Henri [16 ]
Anand, Vrinda [18 ]
Arbilla, Graciela [19 ]
Badali, Kaitlin [20 ]
Beig, Gufran [18 ]
Carlos Belalcazar, Luis [21 ]
Bolignano, Andrea [22 ]
Brimblecombe, Peter [23 ]
Camacho, Patricia [17 ]
Casallas, Alejandro [24 ,33 ]
Charland, Jean-Pierre [8 ]
Choi, Jason [25 ]
Chourdakis, Eleftherios [26 ]
Coll, Isabelle [27 ,28 ]
Collins, Marty [29 ]
Cyrys, Josef [30 ]
da Silva, Cleyton Martins [31 ]
Di Giosa, Alessandro Domenico [22 ]
Di Leo, Anna [32 ]
Ferro, Camilo [33 ]
Gavidia-Calderon, Mario [7 ]
Gayen, Amiya [34 ]
Ginzburg, Alexander [36 ]
Godefroy, Fabrice [37 ]
Alexandra Gonzalez, Yuri [21 ]
Guevara-Luna, Marco [38 ]
Haque, Sk Mafizul [34 ]
Havenga, Henno [10 ]
Herod, Dennis [39 ]
Horrak, Urmas [40 ]
Hussein, Tareq [41 ]
Ibarra, Sergio [7 ]
Jaimes, Monica [17 ]
Kaasik, Marko [40 ]
Khaiwal, Ravindra [42 ,43 ]
Kim, Jhoon [44 ]
机构
[1] Univ Hertfordshire, Ctr Atmospher & Climate Phys CACP, Hatfield, Herts, England
[2] Univ Hertfordshire, Ctr Climate Change Res C3R, Hatfield, Herts, England
[3] Natl Atmospher Res Lab, Gadanki, AP, India
[4] Spanish Res Council CSIC, Inst Environm Assessment & Water Res IDAEA, Barcelona, Spain
[5] ARIANET, Milan, Italy
[6] Fed Univ Technol, Grad Program Environm Engn, Londrina, Parana, Brazil
[7] Univ Sao Paulo, Dept Ciencias Atmosfer, Sao Paulo, Brazil
[8] Environm & Climate Change Canada, Meteorol Serv Canada, Dorval, PQ, Canada
[9] CSIR, Pretoria, South Africa
[10] North West Univ, Unit Environm Sci & Management, Potchefstroom, South Africa
[11] Univ Pretoria, Dept Geog Geoinformat & Meteorol, Pretoria, South Africa
[12] Univ Politecn Cataluna, BarcelonaTech UPC, Dept Min Ind & ICT Engn, Barcelona, Spain
[13] China Univ Geosci, Sch Environm Studies, Dept Atmospher Sci, Wuhan, Peoples R China
[14] World Meteorol Org WMO, Sci & Innovat Dept, Geneva, Switzerland
[15] Univ Iowa, Ctr Global & Reg Environm Res, Iowa City, IA USA
[16] European Ctr Medium Range Weather Forecasts, ECMWF, Shinfield Pk, Reading, Berks, England
[17] Secretaria Medio Ambiente Ciudad Mexico SEDEMA, Mexico City, DF, Mexico
[18] Govt India, Indian Inst Trop Meteorol, Minist Earth Sci, Pune, Maharashtra, India
[19] Univ Fed Rio de Janeiro, Rio De Janeiro, Brazil
[20] Environm & Climate Change Canada, Anal & Air Qual Sect, Air Qual Res Div, Ottawa, ON, Canada
[21] Univ Nacl Colombia, Bogota, Colombia
[22] Agenzia Reg Protez Ambiente Lazio, Rome, Italy
[23] Natl Sun Yat Sen Univ, Dept Marine Environm & Engn, Kaohsiung, Taiwan
[24] Abdus Salam Int Ctr Theoret Phys ICTP, Earth Syst Phys, Bogota, Colombia
[25] Ctr Appl Sci, Environm Protect Author Victoria, Macleod, Australia
[26] Aristotle Univ Thessaloniki, Lab Heat Transfer & Environm Engn, Thessaloniki, Greece
[27] Univ Paris Est Creteil, Creteil, France
[28] Univ Paris, LISA, CNRS, Creteil, France
[29] Resource Stewardship Div, Air Monitoring Operat, Environm & Pk, Edmonton, AB, Canada
[30] Helmholtz Zentrum Munchen, Inst Epidemiol, Neuherberg, Germany
[31] Univ Veiga Almeida, Rio De Janeiro, Brazil
[32] Agenzia Reg Protez Ambiente Lombardia, Milan, Italy
[33] Univ Sergio Arboleda, Escuela Ciencias Exactas & Ingn, Bogota, Colombia
[34] Univ Calcutta, Dept Geog, Kolkata, India
[35] Molina Ctr Energy & Environm, San Francisco, CA USA
[36] AM Obukhov Inst Atmospher Phys, Moscow, Russia
[37] Div Controle Rejets & Suivi Environm, Serv Environm, Montreal, PQ, Canada
[38] Univ Nacl Abierta & Distancia, Conservac Bioprospecc & Desarrollo Sostenible, Bogota, Colombia
[39] Environm & Climate Change Canada, Anal & Air Qual Sect, Air Qual Res Div, Natl Smog Anal, Ottawa, ON, Canada
[40] Univ Tartu, Inst Phys, Tartu, Estonia
[41] Univ Helsinki, Inst Atmospher & Earth Syst Res INAR Phys, Helsinki, Finland
[42] PGIMER, Dept Community Med, Chandigarh, India
[43] PGIMER, Sch Publ Hlth, Chandigarh, India
[44] Yonsei Univ, Dept Atmospher Sci, Seoul, South Korea
[45] Helsinki Reg Environm Serv Author, Helsinki, Finland
[46] Finnish Meteorol Inst, Helsinki, Finland
[47] Minist Environm & Lutte Changements Climat Quebe, Direct Gen Suivi Etat Environm, Direct Qualite Air & Climat, Quebec City, PQ, Canada
[48] Nova Scotia Environm, Air Qual Monitoring & Reporting, Halifax, NS, Canada
[49] NOAA, Chem Sci Lab, Boulder, CO USA
[50] Natl Inst Publ Hlth & Environm RIVM, Bilthoven, Netherlands
基金
欧盟地平线“2020”; 英国自然环境研究理事会; 俄罗斯基础研究基金会;
关键词
COVID-19; Ozone; Particulate matter; Nitrogen dioxide; Sulphur dioxide; Carbon monoxide; FINE PARTICULATE MATTER; COVID-19; LOCKDOWN; OZONE; POLLUTION; PM2.5; NO2; CLIMATE; AEROSOL; TRENDS; URBAN;
D O I
10.1016/j.envint.2021.106818
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This global study, which has been coordinated by the World Meteorological Organization Global Atmospheric Watch (WMO/GAW) programme, aims to understand the behaviour of key air pollutant species during the COVID-19 pandemic period of exceptionally low emissions across the globe. We investigated the effects of the differences in both emissions and regional and local meteorology in 2020 compared with the period 2015-2019. By adopting a globally consistent approach, this comprehensive observational analysis focuses on changes in air quality in and around cities across the globe for the following air pollutants PM2.5, PM10, PMC (coarse fraction of PM), NO2, SO2, NOx, CO, O-3 and the total gaseous oxidant (O-X = NO2 + O-3) during the pre-lockdown, partial lockdown, full lockdown and two relaxation periods spanning from January to September 2020. The analysis is based on in situ ground-based air quality observations at over 540 traffic, background and rural stations, from 63 cities and covering 25 countries over seven geographical regions of the world. Anomalies in the air pollutant concentrations (increases or decreases during 2020 periods compared to equivalent 2015-2019 periods) were calculated and the possible effects of meteorological conditions were analysed by computing anomalies from ERA5 reanalyses and local observations for these periods. We observed a positive correlation between the reductions in NO2 and NOx concentrations and peoples' mobility for most cities. A correlation between PMC and mobility changes was also seen for some Asian and South American cities. A clear signal was not observed for other pollutants, suggesting that sources besides vehicular emissions also substantially contributed to the change in air quality. As a global and regional overview of the changes in ambient concentrations of key air quality species, we observed decreases of up to about 70% in mean NO2 and between 30% and 40% in mean PM2.5 concentrations over 2020 full lockdown compared to the same period in 2015-2019. However, PM2.5 exhibited complex signals, even within the same region, with increases in some Spanish cities, attributed mainly to the long-range transport of African dust and/or biomass burning (corroborated with the analysis of NO2/CO ratio). Some Chinese cities showed similar increases in PM2.5 during the lockdown periods, but in this case, it was likely due to secondary PM formation. Changes in O-3 concentrations were highly heterogeneous, with no overall change or small increases (as in the case of Europe), and positive anomalies of 25% and 30% in East Asia and South America, respectively, with Colombia showing the largest positive anomaly of similar to 70%. The SO2 anomalies were negative for 2020 compared to 2015-2019 (between similar to 25 to 60%) for all regions. For CO, negative anomalies were observed for all regions with the largest decrease for South America of up to similar to 40%. The NO2/CO ratio indicated that specific sites (such as those in Spanish cities) were affected by biomass burning plumes, which outweighed the NO2 decrease due to the general reduction in mobility (ratio of similar to 60%). Analysis of the total oxidant (OX = NO2 + O-3) showed that primary NO2 emissions at urban locations were greater than the O-3 production, whereas at background sites, O-X was mostly driven by the regional contributions rather than local NO2 and O-3 concentrations. The present study clearly highlights the importance of meteorology and episodic contributions (e.g., from dust, domestic, agricultural biomass burning and crop fertilizing) when analysing air quality in and around cities even during large emissions reductions. There is still the need to better understand how the chemical responses of secondary pollutants to emission change under complex meteorological conditions, along with climate change and socio-economic drivers may affect future air quality. The implications for regional and global policies are also significant, as our study clearly indicates that PM2.5 concentrations would not likely meet the World Health Organization guidelines in many parts of the world, despite the drastic reductions in mobility. Consequently, revisions of air quality regulation (e.g., the Gothenburg Protocol) with more ambitious targets that are specific to the different regions of the world may well be required.
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页数:25
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