posted on 2024-04-10, 14:53authored byYue Tan, Yingnan Zhang, Tao Wang, Tianshu Chen, Jiangshan Mu, Likun Xue
In 2022, many Chinese cities experienced lockdowns and
heatwaves.
We analyzed ground and satellite data using machine learning to elucidate
chemical and meteorological drivers of changes in O3 pollution
in 27 major Chinese cities during lockdowns. We found that there was
an increase in O3 concentrations in 23 out of 27 cities
compared with the corresponding period in 2021. Random forest modeling
indicates that emission reductions in transportation and other sectors,
as well as the changes in meteorology, increased the level of O3 in most cities. In cities with over 80% transportation reductions
and temperature fluctuations within −2 to 2 °C, the increases
in O3 concentrations were mainly attributable to reductions
in nitrogen oxide (NOx) emissions. In
cities that experienced heatwaves and droughts, increases in the O3 concentrations were primarily driven by increases in temperature
and volatile organic compound (VOC) emissions, and reductions in NOx concentrations from ground transport were
offset by increases in emissions from coal-fired power generation.
Despite 3–99% reduction in passenger volume, most cities remained
VOC-limited during lockdowns. These findings demonstrate that to alleviate
urban O3 pollution, it will be necessary to further reduce
industrial emissions along with transportation sources and to take
into account the climate penalty and the impact of heatwaves on O3 pollution.