Munir Said, Chen Haibo, Crowther Richard
Institue for Transport Studies, Faculty of Environment, University of Leeds, Leeds, LS2 9JT, UK.
Team Leader (Environmental Advisory), Transport Strategy, Leeds City Council, Leeds, LS1 1UR, UK.
Atmos Pollut Res. 2022 Oct;13(10):101548. doi: 10.1016/j.apr.2022.101548. Epub 2022 Sep 8.
The main aim of the COVID-19 lockdown was to curtail the person-to-person transmission of COVID-19. However, it also acted as an air quality intervention. The effect of the lockdown has been extensively analysed on NO, O, PM and PM, however, little has been done on how total (TPN) and nanoparticle numbers (NPN) have been affected by the lockdown. This paper quantifies the effect of the lockdown on TPN and NPN in the UK, and compares how the effect varies between rural, urban background and traffic sites. Furthermore, the effect on particle numbers is compared with particle mass concentrations, mainly PM and PM. Two approaches are used: (a) comparing measured levels of the pollutants in 2019 with 2020 during the lockdown periods; and (b) comparing the predictions of machine learning with measured concentrations using business as usual (BAU) scenario during the lockdown period. P (particle size ≤100 nm) increased by 39% at Chilbolton Observatory (CHO) and decreased by 13% and 14% at London Honor Oak Park (LHO) and London Marylebone Road (LMR), respectively. Particles from 101 to 200 nm (P) showed a similar trend to P, however, average levels of particles 201-605 nm (P) decreased at all sites. TPN, PM and PM concentrations decreased at LMR and LHO sites. Estimated PM, PM and TPN decreased at all three sites, however, the amount of change varied from site to site. Pollutant concentrations increased back the to pre-pandemic levels, suggesting more sustainable interventions for permanent air quality improvement.
新冠疫情封锁的主要目的是减少新冠病毒的人际传播。然而,它也起到了空气质量干预的作用。封锁对一氧化氮(NO)、臭氧(O)、细颗粒物(PM)和粗颗粒物(PM)的影响已得到广泛分析,然而,关于封锁如何影响总颗粒物数量(TPN)和纳米颗粒数量(NPN)的研究却很少。本文量化了英国封锁对TPN和NPN的影响,并比较了农村、城市背景和交通站点之间影响的差异。此外,还将颗粒物数量的影响与颗粒物质量浓度(主要是PM和PM)进行了比较。采用了两种方法:(a)比较2019年和2020年封锁期间污染物的测量水平;(b)将机器学习的预测结果与封锁期间照常营业(BAU)情景下的测量浓度进行比较。在奇尔博顿天文台(CHO),粒径≤100纳米的颗粒物(P)增加了39%,而在伦敦荣誉橡树公园(LHO)和伦敦马里波恩路(LMR)分别下降了13%和14%。粒径在101至200纳米之间的颗粒物(P)呈现出与P类似的趋势,然而,粒径在201 - 605纳米之间的颗粒物(P)在所有站点的平均水平都有所下降。LMR和LHO站点的TPN、PM和PM浓度下降。所有三个站点的估计PM、PM和TPN都有所下降,不过变化幅度因站点而异。污染物浓度回升至疫情前水平,这表明需要采取更可持续的干预措施来实现空气质量的永久改善。