Sokhi Ranjeet S, Singh Vikas, Querol Xavier, Finardi Sandro, Targino Admir Créso, Andrade Maria de Fatima, Pavlovic Radenko, Garland Rebecca M, Massagué Jordi, Kong Shaofei, Baklanov Alexander, Ren Lu, Tarasova Oksana, Carmichael Greg, Peuch Vincent-Henri, Anand Vrinda, Arbilla Graciela, Badali Kaitlin, Beig Gufran, Belalcazar Luis Carlos, Bolignano Andrea, Brimblecombe Peter, Camacho Patricia, Casallas Alejandro, Charland Jean-Pierre, Choi Jason, Chourdakis Eleftherios, Coll Isabelle, Collins Marty, Cyrys Josef, da Silva Cleyton Martins, Di Giosa Alessandro Domenico, Di Leo Anna, Ferro Camilo, Gavidia-Calderon Mario, Gayen Amiya, Ginzburg Alexander, Godefroy Fabrice, Gonzalez Yuri Alexandra, Guevara-Luna Marco, Haque Sk Mafizul, Havenga Henno, Herod Dennis, Hõrrak Urmas, Hussein Tareq, Ibarra Sergio, Jaimes Monica, Kaasik Marko, Khaiwal Ravindra, Kim Jhoon, Kousa Anu, Kukkonen Jaakko, Kulmala Markku, Kuula Joel, La Violette Nathalie, Lanzani Guido, Liu Xi, MacDougall Stephanie, Manseau Patrick M, Marchegiani Giada, McDonald Brian, Mishra Swasti Vardhan, Molina Luisa T, Mooibroek Dennis, Mor Suman, Moussiopoulos Nicolas, Murena Fabio, Niemi Jarkko V, Noe Steffen, Nogueira Thiago, Norman Michael, Pérez-Camaño Juan Luis, Petäjä Tuukka, Piketh Stuart, Rathod Aditi, Reid Ken, Retama Armando, Rivera Olivia, Rojas Néstor Y, Rojas-Quincho Jhojan P, San José Roberto, Sánchez Odón, Seguel Rodrigo J, Sillanpää Salla, Su Yushan, Tapper Nigel, Terrazas Antonio, Timonen Hilkka, Toscano Domenico, Tsegas George, Velders Guus J M, Vlachokostas Christos, von Schneidemesser Erika, Vpm Rajasree, Yadav Ravi, Zalakeviciute Rasa, Zavala Miguel
Centre for Atmospheric and Climate Physics (CACP) and Centre for Climate Change Research (C3R), University of Hertfordshire, Hatfield, Hertfordshire, UK.
National Atmospheric Research Laboratory, Gadanki, AP, India.
Environ Int. 2021 Dec;157:106818. doi: 10.1016/j.envint.2021.106818. Epub 2021 Aug 20.
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 PM, PM, PMC (coarse fraction of PM), NO, SO, NOx, CO, O and the total gaseous oxidant (OX = NO + O) 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 NO 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 NO and between 30% and 40% in mean PM concentrations over 2020 full lockdown compared to the same period in 2015-2019. However, PM 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 NO/CO ratio). Some Chinese cities showed similar increases in PM during the lockdown periods, but in this case, it was likely due to secondary PM formation. Changes in O 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 ~70%. The SO anomalies were negative for 2020 compared to 2015-2019 (between ~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 ~40%. The NO/CO ratio indicated that specific sites (such as those in Spanish cities) were affected by biomass burning plumes, which outweighed the NO decrease due to the general reduction in mobility (ratio of ~60%). Analysis of the total oxidant (OX = NO + O) showed that primary NO emissions at urban locations were greater than the O production, whereas at background sites, OX was mostly driven by the regional contributions rather than local NO and O 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 PM 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.
这项全球研究由世界气象组织全球大气观测(WMO/GAW)计划协调,旨在了解在全球排放量极低的新冠疫情期间主要空气污染物的行为。我们调查了2020年与2015 - 2019年期间相比,排放以及区域和局地气象差异的影响。通过采用全球一致的方法,这项全面的观测分析聚焦于2020年1月至9月的封锁前、部分封锁、全面封锁和两个放松期内,全球城市及其周边地区以下空气污染物的空气质量变化:PM、PM、PMC(PM的粗颗粒部分)、NO、SO、NOx、CO、O以及总气态氧化剂(OX = NO + O)。该分析基于来自世界七个地理区域63个城市、覆盖25个国家的540多个交通、背景和农村站点的地面空气质量实地观测数据。计算了空气污染物浓度的异常值(2020年各时期与2015 - 2019年同期相比的增加或减少),并通过计算这些时期ERA5再分析数据和局地观测数据的异常值,分析了气象条件的可能影响。我们观察到,对于大多数城市,NO和NOx浓度的降低与人们的出行存在正相关。一些亚洲和南美城市的PMC与出行变化之间也存在相关性。对于其他污染物,未观察到明显信号,这表明除了车辆排放外,其他来源也对空气质量变化有很大贡献。作为对关键空气质量物种环境浓度变化的全球和区域概述,我们观察到,与2015 - 2019年同期相比,2020年全面封锁期间平均NO浓度下降高达约70%,平均PM浓度下降30%至40%。然而,即使在同一区域内,PM也呈现出复杂的信号,一些西班牙城市的PM有所增加,主要归因于非洲沙尘的远距离传输和/或生物质燃烧(通过NO/CO比值分析得到证实)。一些中国城市在封锁期间PM也有类似增加,但这种情况下可能是由于二次PM的形成。O浓度变化高度不均匀,没有总体变化或略有增加(如欧洲的情况),东亚和南美分别有25%和30%的正异常,哥伦比亚的正异常最大,约为70%。与2015 - 2019年相比,2020年所有区域的SO异常均为负(约25%至60%)。对于CO,所有区域均观察到负异常,南美下降幅度最大,高达约40%。NO/CO比值表明,特定地点(如西班牙城市的那些地点)受到生物质燃烧羽流的影响,这超过了因出行普遍减少导致的NO下降(比值约为60%)。对总氧化剂(OX = NO + O)的分析表明,城市地区的一次NO排放大于O的生成,而在背景站点,OX主要由区域贡献驱动,而非当地的NO和O浓度。本研究清楚地凸显了在分析城市及其周边地区空气质量时,即使在大幅减排期间,气象和偶发贡献(如沙尘、家庭、农业生物质燃烧和作物施肥)的重要性。仍有必要更好地了解在复杂气象条件下,以及气候变化和社会经济驱动因素的影响下,二次污染物对排放变化的化学反应将如何影响未来空气质量。对区域和全球政策的影响也很重大,因为我们的研究清楚地表明,尽管出行大幅减少,但世界许多地区的PM浓度仍不太可能符合世界卫生组织的指导方针。因此,可能需要修订空气质量法规(如《哥德堡议定书》),设定更具雄心、针对世界不同地区的具体目标。