TY - JOUR
T1 - An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution
T2 - A national study in China during the COVID-19 lockdown period
AU - Song, Yushan
AU - Lin, Changqing
AU - Li, Ying
AU - Lau, Alexis K.H.
AU - Fung, Jimmy C.H.
AU - Lu, Xingcheng
AU - Guo, Cui
AU - Ma, Jun
AU - Lao, Xiang Qian
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/4/1
Y1 - 2021/4/1
N2 - Although the effects of meteorological factors on severe air pollution have been extensively investigated, quantitative decomposition of the contributions of meteorology and anthropogenic factors remains a big challenge. The novel coronavirus disease 2019 (COVID-19) pandemic affords a unique opportunity to test decomposition method. Based on a wind decomposition method, this study outlined an improved method to differentiate complex meteorological and anthropogenic effects. The improved method was then applied to investigate the cause of unanticipated haze pollution in China during the COVID-19 lockdown period. Results from the wind decomposition method show that weakened winds increased PM2.5 concentrations in the Beijing–Tianjin area and northeastern China (e.g., by 3.19 μg/m3 in Beijing). Using the improved decomposition method, we found that the combined meteorological effect (e.g., drastically elevated humidity levels and weakened airflow) substantially increased PM2.5 concentrations in northern China: the most substantial increases were in the Beijing–Tianjin–Hebei region (e.g., by 26.79 μg/m3 in Beijing). On excluding the meteorological effects, PM2.5 concentrations substantially decreased across China (e.g., by 21.84 μg/m3 in Beijing), evidencing that the strict restrictions on human activities indeed decreased PM2.5 concentrations. The unfavorable meteorological conditions, however, overwhelmed the beneficial effects of emission reduction, causing the severe haze pollution. These results indicate that the integrated meteorological effects should be considered to differentiate the meteorological and anthropogenic effects on severe air pollution.
AB - Although the effects of meteorological factors on severe air pollution have been extensively investigated, quantitative decomposition of the contributions of meteorology and anthropogenic factors remains a big challenge. The novel coronavirus disease 2019 (COVID-19) pandemic affords a unique opportunity to test decomposition method. Based on a wind decomposition method, this study outlined an improved method to differentiate complex meteorological and anthropogenic effects. The improved method was then applied to investigate the cause of unanticipated haze pollution in China during the COVID-19 lockdown period. Results from the wind decomposition method show that weakened winds increased PM2.5 concentrations in the Beijing–Tianjin area and northeastern China (e.g., by 3.19 μg/m3 in Beijing). Using the improved decomposition method, we found that the combined meteorological effect (e.g., drastically elevated humidity levels and weakened airflow) substantially increased PM2.5 concentrations in northern China: the most substantial increases were in the Beijing–Tianjin–Hebei region (e.g., by 26.79 μg/m3 in Beijing). On excluding the meteorological effects, PM2.5 concentrations substantially decreased across China (e.g., by 21.84 μg/m3 in Beijing), evidencing that the strict restrictions on human activities indeed decreased PM2.5 concentrations. The unfavorable meteorological conditions, however, overwhelmed the beneficial effects of emission reduction, causing the severe haze pollution. These results indicate that the integrated meteorological effects should be considered to differentiate the meteorological and anthropogenic effects on severe air pollution.
KW - Air pollution
KW - COVID-19
KW - Humidity
KW - Meteorology
KW - Pollutant emission
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000628522900001
UR - https://openalex.org/W3131478995
UR - https://www.scopus.com/pages/publications/85101223883
U2 - 10.1016/j.atmosenv.2021.118270
DO - 10.1016/j.atmosenv.2021.118270
M3 - Journal Article
SN - 1352-2310
VL - 250
JO - Atmospheric Environment
JF - Atmospheric Environment
M1 - 118270
ER -