College of New Energy and Environment, Jilin University, Changchun 130012, China.
Int J Environ Res Public Health. 2020 Dec 3;17(23):9004. doi: 10.3390/ijerph17239004.
During the eruption of COVID-19, a citywide lockdown was executed from 26 January to 23 March 2020, in Shenyang, in which the ozone pollution has recorded significant variations. This paper mainly anatomized the comprehensive characteristics and evolution trends of ozone pollution based on the lockdown period in the first half of 2020. Using the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model and cluster analysis method to establish backward trajectories and channels, the spatial transport process of ozone in the preset period and the causation of typical ozone pollution events were investigated in depth. The results demonstrated that: The ozone concentration pollution in the first half of 2020 was increased than last year. During the lockdown period, the basic pollutants levels were lower than that in pre-lockdown under different proportions, except O maximum 8-h moving average (MDA8) was increased by 69.7%, accompanied by the delay of daily peak value, increased pollution days and longer pollution cycle. The typical pollution events were highly consistent with the evolution path of fine aerosol compelled by extreme weather. The ozone concentration and the atmospheric oxidation capacity can be stably maintained at a low level when NO concentration remained at 50-70 μg/m, no matter how much the AQI was. Meanwhile, ozone concentration in the downwind suburban was as low as the central city and soared in few stations amid post-lockdown, simultaneous the correlation between ozone and other pollutants converted from negative to positive. The trajectory indicated that the pollution sources during the lockdown and pre-lockdown were basically Southern Russia, Inner Mongolia, and the three provinces of Northeast China, the pollution from the Bohai Sea provoked ozone pollutants in Shenyang to rebound briskly amid post-lockdown, the pollution of neighboring countries and areas would have a stronger impact on air quality under the effect of lockdown.
在 COVID-19 爆发期间,沈阳市于 2020 年 1 月 26 日至 3 月 23 日实行全市封锁,在此期间臭氧污染发生了显著变化。本文主要基于 2020 年上半年的封锁期,分析臭氧污染的综合特征和演变趋势。利用 Hybrid Single Particle Lagrangian Integrated Trajectory(HYSPLIT)模型和聚类分析方法建立后向轨迹和通道,深入研究了预设时间段内臭氧的空间传输过程和典型臭氧污染事件的成因。结果表明:2020 年上半年臭氧浓度污染高于去年。在封锁期间,基本污染物水平低于封锁前的不同比例,除 O3 最大 8 小时移动平均值(MDA8)增加了 69.7%外,还伴随着日峰值的延迟、污染天数的增加和污染周期的延长。典型污染事件与极端天气强迫下细颗粒物的演变路径高度一致。当 NO 浓度保持在 50-70μg/m 时,臭氧浓度和大气氧化能力可以稳定地保持在低水平,无论 AQI 如何。同时,在封锁后,下风郊县的臭氧浓度与市中心一样低,少数站点的臭氧浓度迅速上升,同时臭氧与其他污染物之间的相关性由负转正。轨迹表明,封锁期间和封锁前的污染源基本来自俄罗斯南部、内蒙古和中国东北三省,封锁后,来自渤海的污染引发了沈阳臭氧污染物的迅速反弹,在封锁的影响下,邻国和地区的污染对空气质量的影响会更强。