Ozone (O) levels in East China suffered from rapid
increases during the COVID-19 period. To clarify the reason for the
O increase, a continuous campaign was performed in a
industrial city in North China Plain (NCP). Meanwhile, the
machine-learning technique and the box model were employed to reveal the
mechanisms of O increase from the perspective of
meteorology and photochemical process, respectively. The result
suggested that the ambient O level in Tangshan
increased from 18.7 ± 4.63 to 45.6 ± 8.52 μg/m
(143%) after COVID-19 lockdown, and the emission reduction and
meteorology contributed to 77% and 66% of this increment,
respectively. The higher Wind speed (WS) coupled with regional transport
played a significant role on O increase (30.8 kg/s).
The O sensitivity verified that O
production was highly volatile organic compounds (VOC)-sensitive
(Relative incremental reactivity (RIR): 0.75), while the
NO showed the negative impact on O
production in Tangshan (RIR: -0.59). It suggested that the control of
VOCs rather than NO might be more effective in reducing
O level in Tangshan because it was located on the
VOC-limited regime. Besides, both of ozone formation potential (OFP)
analysis and observation-based model (OBM) demonstrated that the alkenes
(36.3 ppb) and anthropogenic oxygenated volatile organic compounds
(OVOCs) (15.2 ppb) showed the higher OFP compared with other species,
and their reactions released a large number of HO and
RO radicals. Moreover, the concentrations of these
species did not experience marked decreases after COVID-19 lockdown,
which were major contributors to O increase during this
period.