Contributions of non-tailpipe emissions to near-road PM2.5 and PM10: A chemical mass balance study

Environ Pollut. 2023 Oct 15:335:122283. doi: 10.1016/j.envpol.2023.122283. Epub 2023 Jul 28.

Abstract

As the importance of non-tailpipe particles (NTP) over tailpipe emissions from urban traffic has been increasing, there is a need to evaluate NTP contributions to ambient particulate matter (PM) using representative source profiles. The Brake and Tire Wear Study conducted in Los Angeles, California in the winter of 2020 collected 64 PM2.5 and 64 PM10 samples from 32 pairs of downwind-upwind measurements at two near-road locations (I-5 in Anaheim and I-710 in Long Beach). These samples were characterized for inorganic and organic markers and, along with locally-developed brake wear, tire wear, and road dust source profiles, subject to source apportionment using the effective-variance chemical mass balance (EV-CMB) model. Model results highlighted the dominance of resuspended dust in both PM2.5 (23-33%) and PM10 (32-53%). Brake and tire wear contributed more to PM2.5 than tailpipe exhausts (diesel + gasoline) for I-5 (29-30% vs. 19-21%) while they were comparable for I-710 (15-17% vs. 15-19%). For PM10, the brake and tire wear contributions were 2-3 times the exhaust contributions. Different fleet compositions on and near I-5 and I-710 appeared to influence the relative importance of NTP and exhaust sources. The downwind-upwind differences in source contributions were often insignificant, consistent with small and/or nearly equal impacts of adjacent highway traffic emissions on the downwind and upwind sites. The utility of sole markers, such as barium and zinc, to predict brake and tire wear abundances in ambient PM is evaluated.

Keywords: Brake wear; Hybrid environmental receptor model (HERM); Source apportionment; Source profile; Tire wear.

MeSH terms

  • Air Pollutants* / analysis
  • Dust
  • Environmental Monitoring
  • Particulate Matter / analysis
  • Vehicle Emissions / analysis

Substances

  • Air Pollutants
  • Particulate Matter
  • Vehicle Emissions
  • Dust