title: Quantification of particle number emission factors for motor vehicles from on-road measurements.
abstract: The database on particle number emission factors has been very limited to date despite the increasing interest in the effects of human exposure to particles in the submicrometer range. There are also major questions on the comparability of emission factors derived through dynamometer versus on-road studies. Thus, the aims of this study were (1) to quantify vehicle number emission factors in the submicrometer (and also supermicrometer) range for stop-start and free-flowing traffic at about 100 km h(-1) driving conditions through extensive road measurements and (2) to compare the emission factors from the road measurements with those obtained previously from dynamometer studies conducted in Brisbane. For submicrometer particles the average emission factors for Tora Street were estimated at (1.89 +/- 3.40) x 10(13) particles km(-1) (mean +/- standard error; n = 386) for petrol and (7.17 +/- 2.80) x 10(14) particles km(-1) (diesel; n = 196) and for supermicrometer particles at 2.59 x 10(9) particles km(-1) and 1.53 x 10(12) particles km(-1), respectively. The average number emission factors for submicrometer particles estimated for Ipswich Road (stop-start traffic mode) were (2.18 +/- 0.57) x 10(13) particles km(-1) (petrol) and (2.04 +/- 0.24) x 10(14) particles km(-1) (diesel). One implication of the conclusion that emission factors of heavy duty diesel vehicles are over 1 order of magnitude higher than emission factors of petrol-fueled passenger cars is that future control and management strategies should in particular target heavy duty vehicles, as even a moderate decrease in emissions of these vehicles would have a significant impact on lowering atmospheric concentrations of particles. The finding that particle number emissions per vehicle-km are significantly larger for higher speed vehicle operation has an important implication on urban traffic planning and optimization of vehicle speed to lower their impact on airborne pollution. Additionally, statistical analysis showed that neither the measuring method (dynamometer or on-road), nor data origin (Brisbane or elsewhere in the world), is associated with a statistically significant difference between the average values of emission factors for diesel, petrol, and vehicle fleet mix. However, statistical analyses of the effect of fuel showed that the mean values of emission factors for petrol and diesel are different at a 5% significance level.
authors.affiliation: International Laboratory of Air Quality and Health, School of Civil Engineering, Queensland University of Technology, Brisbane, Australia. l.morawska@qut.edu.au
authors.forename: Lidia
authors.initials: L
authors.lastname: Morawska
authors.forename: Milan
authors.initials: M
authors.lastname: Jamriska
authors.forename: Stephen
authors.initials: S
authors.lastname: Thomas
authors.forename: Luis
authors.initials: L
authors.lastname: Ferreira
authors.forename: Kerrie
authors.initials: K
authors.lastname: Mengersen
authors.forename: Darren
authors.initials: D
authors.lastname: Wraith
authors.forename: Fraser
authors.initials: F
authors.lastname: McGregor
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D008685:Meteorological Concepts; D018986:Motor Vehicles; D001335:Vehicle Emissions
chemical_list: D000393:Air Pollutants; D001335:Vehicle Emissions