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The Heavy Particulate Matter Pollution During the COVID-19 Lockdown Period in the Guanzhong Basin, China

  • Xia Li
  • , Naifang Bei
  • , Jiarui Wu
  • , Suixin Liu
  • , Qiyuan Wang
  • , Jie Tian
  • , Lang Liu
  • , Ruonan Wang
  • , Guohui Li
  • CAS - Institute of Earth Environment
  • University of Chinese Academy of Sciences
  • Chinese Academy of Sciences

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Nationwide restrictions on human activities (lockdown) in China since 23 January 2020, to control the 2019 novel coronavirus disease pandemic (COVID-19), has provided an opportunity to evaluate the effect of emission mitigation on particulate matter (PM) pollution. The WRF-Chem simulations of persistent heavy PM pollution episodes from 20 January to 14 February 2020, in the Guanzhong Basin (GZB), northwest China, reveal that large-scale emission reduction of primary pollutants has not substantially improved the air quality during the COVID-19 lockdown period. Simultaneous reduction of primary precursors during the lockdown period only decreases the near-surface PM2.5 mass concentration by 11.6% (12.6 μg m−3), but increases ozone (O3) concentration by 9.2% (5.5 μg m−3) in the GZB. The primary organic aerosol and nitrate are the major contributor to the decreased PM2.5 in the GZB, with the reduction of 28.0% and 21.8%, respectively, followed by EC (10.1%) and ammonium (7.2%). The increased atmospheric oxidizing capacity by the O3 enhancement facilitates the secondary aerosol (SA) formation in the GZB, increasing secondary organic aerosol and sulphate by 6.5% and 3.3%, respectively. Furthermore, sensitivity experiments suggest that combined emission reduction of NOX and VOCs following the ratio of 1:1 is conducive to lowering the wintertime SA and O3 concentration and further alleviating the PM pollution in the GZB.

Original languageEnglish
Article numbere2021JD036191
JournalJournal of Geophysical Research: Atmospheres
Volume127
Issue number8
DOIs
StatePublished - 27 Apr 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • Guanzhong basin
  • atmospheric oxidizing capacity
  • particulate matter pollution
  • secondary aerosols

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