4.7 Article

Long-range air pollution transport in East Asia during the first week of the COVID-19 lockdown in China

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 741, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2020.140214

Keywords

Transboundary aerosol; Taiwan; Shutdown; Emissions reduction; CMAQ; PM2.5

Funding

  1. Ministry of Science and Technology [107-2111-M-008-337, 108-2811-M-008-513]
  2. National CentralUniversity New Research Staff Grant
  3. Taiwan Environmental Protection Administration

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Long-range transport (LRT) of air pollutants from East Asia during the northeast monsoon season impacts several downwind locations. In 2020, the initial COVID-19 lockdowns in China overlapped with Week 3 of the Chinese New Year (CNY) holiday, and an Asian outflow event. Thus, movement of the Chinese populace from city to city was already greatly reduced by the time of the LRT episode, although the reductions in industrial output are less clear. We found NO2 column concentrations were reduced by 24% during the CNY Week 3 this year compared to previous years. The attenuated transport event arrived to northern Taiwan with a PM2.5 concentration <45 mu g m(-3) and most often <35 mu g m(-3), which is 2-3 times lower than LRT episodes of similar back-trajectory and synoptic patterns. The whole episode persisted for about 60 h, longer than most LRT episodes from China to Taiwan. CMAQ v5.2.1 modeling of the LRT event with 100% emission and reduced emission scenarios, revealed emissions in China were approximately 50% less than normal periods. Due to the length of the episode and the significant reduction in emissions, Taiwan avoided a PM2.5 surplus of 19.2 mu g m(-3) on average during the episode, equivalent to a 0.5 mu g m(-3) reduction for the whole 3-month winter season. Employing the 100% emission model scenario and scaling up to the average episode hours each winter, the PM2.5 surplus delivered via plumes on the northeast monsoon is equivalent to a 0.5 mu g m(-3) surplus for the whole year. (c) 2020 Elsevier B.V. All rights reserved.

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