Dispersion of traffic-related exhaust particles near the Berlin urban motorway - Estimation of fleet emission factors

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • W. Birmili - , Leibniz Institute for Tropospheric Research (Author)
  • B. Alaviippola - , Leibniz Institute for Tropospheric Research, Finnish Meteorological Institute (Author)
  • D. Hinneburg - , Leibniz Institute for Tropospheric Research (Author)
  • O. Knoth - , Leibniz Institute for Tropospheric Research (Author)
  • T. Tuch - , Leibniz Institute for Tropospheric Research, Helmholtz Centre for Environmental Research (Author)
  • J. Borken-Kleefeld - , German Aerospace Center (DLR) (Author)
  • A. Schacht - , International Institute for Applied Systems Analysis, Laxenburg (Author)

Abstract

Atmospheric particle number size distributions of airborne particles (diameter range 10-500 nm) were collected over ten weeks at three sites in the vicinity of the A 100 urban motorway in Berlin, Germany. The A 100 carries about 180 000 vehicles on a weekday. The roadside particle distributions showed a number maximum between 20 and 60 nm clearly related to the motorway emissions. The average total number concentration at roadside was 28 000 cm-3 with a total range of 1200-168 000 cm-3. At distances of 80 and 400 m from the motorway the concentrations decreased to mean levels of 11 000 and 9000 cm-3, respectively. An obstacle-resolving dispersion model was applied to simulate the 3-D flow field and traffic tracer transport in the urban environment around the motorway. By inverse modelling, vehicle emission factors were derived that are representative of a fleet with a relative share of 6% lorry-like vehicles, and driving at a speed of 80km h-1. Three different calculation approaches were compared, which differ in the choice of the experimental winds driving the flow simulation. The average emission factor per vehicle was 2.1 (±0.2) · 1014km-1 for particle number and 0.077 (±0.01) · 1014 cm3 km-1 for particle volume. Regression analysis suggested that lorry-like vehicles emit 123 (±28) times more particle number than passenger car-like vehicles, and lorry-like vehicles account for about 91% of particulate number emissions on weekdays. Our work highlights the increasing applicability of 3-D flow models in urban microscale environments and their usefulness for determining traffic emission factors.

Details

Original languageEnglish
Pages (from-to)2355-2374
Number of pages20
JournalAtmospheric Chemistry and Physics
Volume9
Issue number7
Publication statusPublished - 2009
Peer-reviewedYes
Externally publishedYes

External IDs

ORCID /0000-0002-5465-8559/work/150883969

Keywords

ASJC Scopus subject areas