| Literature DB >> 30021437 |
Jonathan M Wang1,2, Cheol-Heon Jeong1, Nathan Hilker1, Kerolyn K Shairsingh1, Robert M Healy2, Uwayemi Sofowote2, Jerzy Debosz2, Yushan Su2, Michiyo McGaughey3, Geoff Doerksen3, Tony Munoz2, Luc White4, Dennis Herod4, Greg J Evans1.
Abstract
A daily integrated emission factor (EF) method was applied to data from three near-road monitoring sites to identify variables that impact traffic related pollutant concentrations in the near-road environment. The sites were operated for 20 months in 2015-2017, with each site differing in terms of design, local meteorology, and fleet compositions. Measurement distance from the roadway and local meteorology were found to affect pollutant concentrations irrespective of background subtraction. However, using emission factors mostly accounted for the effects of dilution and dispersion, allowing intersite differences in emissions to be resolved. A multiple linear regression model that included predictor variables such as fraction of larger vehicles (>7.6 m in length; i.e., heavy-duty vehicles), vehicle speed, and ambient temperature accounted for intersite variability of the fleet average NO, NO x, and particle number EFs (R2:0.50-0.75), with lower model performance for CO and black carbon (BC) EFs (R2:0.28-0.46). NO x and BC EFs were affected more than CO and particle number EFs by the fraction of larger vehicles, which also resulted in measurable weekday/weekend differences. Pollutant EFs also varied with ambient temperature and because there were little seasonal changes in fleet composition, this was attributed to changes in fuel composition and/or post-tailpipe transformation of pollutants.Entities:
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Year: 2018 PMID: 30021437 DOI: 10.1021/acs.est.8b01914
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 9.028