Modeled changes in source contributions of particulate matter during the COVID-19 pandemic in the Yangtze River Delta, China

  • Jinlong Ma
  • , Juanyong Shen
  • , Peng Wang
  • , Shengqiang Zhu
  • , Yu Wang
  • , Pengfei Wang
  • , Gehui Wang
  • , Jianmin Chen*
  • , Hongliang Zhang*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

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 (PM 2.5) from 23 January to 28 February 2020, based on different emission control cases. Compared to case 1 (without emission reductions), the total PM 2.5 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 PM 2.5 concentrations from transportation decreased by 40 %, while PM 2.5 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 PM 2.5 mass of all regions decreased 20 %-30 % in the YRD, with the largest decreased value of 5.0 μg m-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 PM 2.5. This study suggests adjustments of control measures for various sources and regions.

Original languageEnglish
Pages (from-to)7343-7355
Number of pages13
JournalAtmospheric Chemistry and Physics
Volume21
Issue number9
DOIs
StatePublished - 12 May 2021

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