Ropkins Karl, Tate James E
Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK.
Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK.
Sci Total Environ. 2021 Feb 1;754:142374. doi: 10.1016/j.scitotenv.2020.142374. Epub 2020 Sep 16.
UK government implemented national lockdown in response to COVID-19 on the 23-26 March 2020. As elsewhere in Europe and Internationally, associated restrictions initially limited individual mobility and workplace activity to essential services and travel, and significant air quality benefits were widely anticipated. Here, break-point/segment methods are applied to air pollutant time-series from the first half of 2020 to provide an independent estimate of the timings of discrete changes in NO, NO, NO, O, PM and PM time-series from Automatic Urban Rural Network (AURN) monitoring stations across the UK. NO, NO and NO all exhibit abrupt decreases at the time the UK locked down of (on average) 7.6 to 17 μg·m (or 32 to 50%) at Urban Traffic stations and 4 to 5.7 μg·m (or 26 to 46%) at Urban Background stations. However, after the initial abrupt reduction, gradual increases were then observed through lockdown. This suggests that the return of vehicles to the road during early lockdown has already offset much of the air quality improvement seen when locking down (provisional estimate 50 to 70% by 01 July). While locking down O increased (7 to 7.4 μg·m or 14 to 17% at Urban stations) broadly in line with NO reductions, but later changes suggest significant non-lockdown contributions to O during the months that followed. Increases of similar magnitudes were observed for both PM (5.9 to 6.3 μg·m) and PM (3.9 to 5.0 μg·m) at both Rural and Urban stations alike, but the distribution of changes suggests the lockdown was not an obvious direct source of changes in levels of either of these species during this period, and that more complex contributions, e.g. from resuspension and secondary aerosol, may be more likely major drivers for these changes.
2020年3月23日至26日,英国政府为应对新冠疫情实施了全国封锁。与欧洲其他地区及国际上其他地方一样,相关限制措施最初将个人出行和工作场所活动限制在必要服务和出行范围内,人们普遍预计空气质量将因此得到显著改善。在此,采用断点/分段方法对2020年上半年的空气污染物时间序列进行分析,以独立估计英国城乡自动监测网络(AURN)监测站的一氧化氮(NO)、二氧化氮(NO₂)、氮氧化物(NOₓ)、臭氧(O₃)、细颗粒物(PM₂.₅)和粗颗粒物(PM₁₀)时间序列中离散变化的时间点。在英国封锁之时,城市交通监测站的NO、NO₂和NOₓ均出现突然下降,平均下降幅度为7.6至17微克/立方米(即32%至50%),城市背景监测站的下降幅度为4至5.7微克/立方米(即26%至46%)。然而,在最初的突然下降之后,在封锁期间又观察到逐渐上升的情况。这表明在封锁初期车辆重返道路已经抵消了封锁时所见到的大部分空气质量改善(截至7月1日的初步估计为50%至70%)。虽然封锁期间城市监测站的O₃有所增加(增加了7至7.4微克/立方米,即14%至17%),大致与NO的减少幅度一致,但后续变化表明在随后几个月中,非封锁因素对O₃的贡献很大。农村和城市监测站的PM₂.₅(增加了5.9至6.3微克/立方米)和PM₁₀(增加了3.9至5.0微克/立方米)均出现了类似幅度的增加,但变化分布情况表明,在此期间封锁并非这两种污染物浓度变化的明显直接来源,更复杂的因素,例如再悬浮和二次气溶胶,可能更有可能是这些变化的主要驱动因素。