Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91176
Title: Modeled changes in source contributions of particulate matter during the COVID-19 pandemic in the yangtze river delta, China
Authors: Ma, JL
Shen, JY
Wang, P 
Zhu, SQ
Wang, Y
Wang, PF
Wang, GH
Chen, JM
Zhang, HL
Issue Date: 2021
Source: Atmospheric chemistry and physics, 2021, v. 21, no. 9, p. 7343-7355
Abstract: Within a short time after the outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, Hubei, the Chinese government introduced a nationwide lockdown to prevent the spread of the pandemic. The quarantine measures have significantly decreased the anthropogenic activities, thus improving air quality. To study the impacts caused by the lockdown on specific source sectors and regions in the Yangtze River Delta (YRD), the Community Multiscale Air Quality (CMAQ) model was used to investigate the changes in source contributions to fine particulate matter (PM2.5) from 23 January to 28 February 2020, based on different emission control cases. Compared to case 1 (without emission reductions), the total PM2.5 mass for case 2 (with emission reductions) decreased by more than 20% over the entire YRD, and the reduction ratios of its components were 15 %, 16 %, 20 %, 43 %, 34 %, and 35% in primary organic aerosol (POA), elemental carbon (EC), sulfate, nitrate, ammonium, and secondary organic aerosol (SOA), respectively. The source apportionment results showed that PM2.5 concentrations from transportation decreased by 40 %, while PM2.5 concentrations from the residential and power sectors decreased by less than 10% due to the lockdown. Although all sources decreased, the relative contribution changed differently. Contributions from the residential sector increased by more than 10% to 35 %, while those in the industrial sector decreased by 33 %. Considering regional transport, the total PM2.5 mass of all regions decreased 20%-30% in the YRD, with the largest decreased value of 5.0 mu gm(-3) in Henan, Hebei, Beijing, and Tianjin (Ha-BTH). In Shanghai, the lower contributions from local emissions and regional transmission (mainly Shandong and Ha-BTH) led to the reduced PM2.5. This study suggests adjustments of control measures for various sources and regions.
Publisher: Copernicus GmbH
Journal: Atmospheric chemistry and physics 
ISSN: 1680-7316
EISSN: 1680-7324
DOI: 10.5194/acp-21-7343-2021
Rights: © Author(s) 2021.
This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/).
The following publication Ma, J., Shen, J., Wang, P., Zhu, S., Wang, Y., Wang, P., Wang, G., Chen, J., and Zhang, H.: Modeled changes in source contributions of particulate matter during the COVID-19 pandemic in the Yangtze River Delta, China, Atmos. Chem. Phys., 21, 7343–7355 is available at https://acp.copernicus.org/articles/21/7343/2021/
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