Impacts of the meteorological condition versus emissions reduction on the PM2 5 concentration over Beijing-Tianjin-Hebei during the COVID-19 lockdown |
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| Authors: | Yanqing Zhang Zhaokun Ma Yi Gao Meigen Zhang |
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| Affiliation: | 1. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;2. College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China;3. Shandong Academy for Environmental Planning, Jinan, China |
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| Abstract: | The impacts of the meteorological condition and emissions reduction on the aerosol concentration over the Beijing-Tianjin-Hebei(BTH)region during the COVID-19 lockdown were analyzed by conducting three numerical experiments,including one with the meteorological field in 2019 and MEIC-2019(2019 monthly Multi-resolution Emissions Inventory for China),one with the meteorological field in 2020 and MEIC-2019,and one with the me-teorological field in 2020 and MEIC-2020,via a WRF-Chem model.The numerical experiments were performed from 3 to 16 February in 2019 and in 2020,during which a severe fog-haze event(3-16 February 2020)occurred in the BTH region,with a simulated maximum daily PM2 5 of 245 μg m-3 in Tangshan and 175 μg m-3 in Beijing.The results indicate that the daily PM2.5 decreased by 5-150 μg m-3 due to the emissions reduction and increased by 10-175 μg m-3 due to the meteorological condition in Beijing,Shijiazhuang,Cangzhou,Handan,Hengshui,Chengde,Zhangjiakou,and Tangshan from 7 to 14 February.For the horizontal distribution,PM2.5 and different aerosol species concentrations from 7 to 14 February 2020 increased compared with those during the same period in 2019,indicating that the accumulation of pollutants caused by the unfavorable meteorological condition offset the decreases caused by the emissions reduction,leading to the high aerosol concentration during the COVID-19 lockdown. |
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| Keywords: | PM2 5 WRF-Chem Meteorological condition Emissions reduction |
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