Light absorption enhancement of particulate matters and their source apportionment over the Asian continental outflow site and South Yellow Sea

Environ Sci Pollut Res Int. 2021 Feb;28(7):8022-8035. doi: 10.1007/s11356-020-11134-y. Epub 2020 Oct 13.

Abstract

Light absorption enhancement of black carbon due to the aerosol mixing states is an important parameterization for climate modeling, while emission source contributions to the enhancement factor are unclear. An intensive campaign was conducted simultaneously at a China coastal site (Qingdao city) and maritime sites (South Yellow Sea, SYS) in August and Nov to Dec 2018. The absorption enhancement (EMAC) of the black carbon was calculated using a two-step solvent dissolution protocol and found 1.96 ± 0.68, 1.64 ± 0.38, and 2.40 ± 0.76 for Qingdao summer (QS), Qingdao autumn (QA), and SYS, respectively. Positive matrix factorization (PMF) model identified six sources of PM2.5 and EMAC, which were secondary aerosol (with contribution 27.9% and 29.2%), coal combustion (24.9% and 20.2%), industrial emissions (15.2% and 25.4%), sea salt (6.9% and 9.6%), vehicle emissions (12.1% and 10.9%), and soil dust (13.0% and 4.7%), respectively. These sources increased the absorption of black carbon by a factor of 1.25 ± 0.11 (secondary aerosol), 1.21 ± 0.20 (industrial emissions), 1.17 ± 0.08 (coal combustion), 1.09 ± 0.07 (vehicle emissions), 1.08 ± 0.17 (sea salt), and 1.04 ± 0.10 (soil dust). Based on the correlation between PM and EMAC source contributions, we estimated that secondary aerosols, industrial emissions, and coal combustion contributed to 74.8% of absorption enhancement at a regional scale in China. The source apportionment for EMAC offers a new diagnosis for each source regarding aerosol forcing simulation which inputs from the individual emission sector.

Keywords: Black carbon; Positive matrix factorization; Radiative absorption; Source contributions.

MeSH terms

  • Aerosols / analysis
  • Air Pollutants* / analysis
  • China
  • Cities
  • Environmental Monitoring
  • Particulate Matter* / analysis
  • Seasons
  • Vehicle Emissions / analysis

Substances

  • Aerosols
  • Air Pollutants
  • Particulate Matter
  • Vehicle Emissions