TY - JOUR
T1 - Substantial changes in gaseous pollutants and chemical compositions in fine particles in the North China Plain during the COVID-19 lockdown period
T2 - Anthropogenic vs. meteorological influences
AU - Li, Rui
AU - Zhao, Yilong
AU - Fu, Hongbo
AU - Chen, Jianmin
AU - Peng, Meng
AU - Wang, Chunying
N1 - Publisher Copyright:
© 2021 Rui Li et al.
PY - 2021/6/9
Y1 - 2021/6/9
N2 - The rapid response to the COVID-19 pandemic led to unprecedented decreases in economic activities, thereby reducing the pollutant emissions. A random forest (RF) model was applied to determine the respective contributions of meteorology and anthropogenic emissions to the changes in air quality. The result suggested that the strict lockdown measures significantly decreased primary components such as Cr (-67 %) and Fe (-61 %) in PM2:5 (p < 0:01), whereas the higher relative humidity (RH) and NH3 level and the lower air temperature (T) remarkably enhanced the production of secondary aerosol, including SO24-(29 %), NO-3 (29 %), and NHC 4 (21 %) (p < 0:05). The positive matrix factorization (PMF) result suggested that the contribution ratios of secondary formation (SF), industrial process (IP), biomass burning (BB), coal combustion (CC), and road dust (RD) changed from 36 %, 27 %, 21 %, 12 %, and 4 % before the COVID-19 outbreak to 44 %, 20 %, 20 %, 9 %, and 7 %, respectively. The rapid increase in the contribution ratio derived from SF to PM2:5 implied that the intermittent haze events during the COVID-19 period were characterized by secondary aerosol pollution, which was mainly contributed by the unfavorable meteorological conditions and high NH3 level.
AB - The rapid response to the COVID-19 pandemic led to unprecedented decreases in economic activities, thereby reducing the pollutant emissions. A random forest (RF) model was applied to determine the respective contributions of meteorology and anthropogenic emissions to the changes in air quality. The result suggested that the strict lockdown measures significantly decreased primary components such as Cr (-67 %) and Fe (-61 %) in PM2:5 (p < 0:01), whereas the higher relative humidity (RH) and NH3 level and the lower air temperature (T) remarkably enhanced the production of secondary aerosol, including SO24-(29 %), NO-3 (29 %), and NHC 4 (21 %) (p < 0:05). The positive matrix factorization (PMF) result suggested that the contribution ratios of secondary formation (SF), industrial process (IP), biomass burning (BB), coal combustion (CC), and road dust (RD) changed from 36 %, 27 %, 21 %, 12 %, and 4 % before the COVID-19 outbreak to 44 %, 20 %, 20 %, 9 %, and 7 %, respectively. The rapid increase in the contribution ratio derived from SF to PM2:5 implied that the intermittent haze events during the COVID-19 period were characterized by secondary aerosol pollution, which was mainly contributed by the unfavorable meteorological conditions and high NH3 level.
UR - https://www.scopus.com/pages/publications/85107722237
U2 - 10.5194/acp-21-8677-2021
DO - 10.5194/acp-21-8677-2021
M3 - 文章
AN - SCOPUS:85107722237
SN - 1680-7316
VL - 21
SP - 8677
EP - 8692
JO - Atmospheric Chemistry and Physics
JF - Atmospheric Chemistry and Physics
IS - 11
ER -