title: Impact of coal-carrying trains on particulate matter concentrations in South Delta, British Columbia, Canada.
abstract: Transport of coal by train through residential neighborhoods in Metro Vancouver, British Columbia, Canada may increase the possibility of exposure to particulate matter at different size ranges, with concomitant potential negative health impacts. This pilot study identifies and quantifies train impacts on particulate matter (PM) concentrations at a single location. Field work was conducted during August and September 2014, with the attributes of a subset of passing trains confirmed visually, and the majority of passages identified with audio data. In addition to fixed ground based monitors at distances 15 and 50 m from the train tracks, an horizontally pointing mini-micropulse lidar system was deployed on three days to make backscatter and depolarization measurements in an attempt to identify the zone of influence, and sources, of train-generated PM. Ancillary wind and dust fall data were also utilized. Trains carrying coal are associated with a 5.3 (54%), 4.1 (33%), and 2.6 (17%) μgm-3average increase in concentration over a 14 min period compared to the average concentrations over the 10 min prior to and after a train passage ("control" or "background" conditions), for PM3, PM10, and PM20, respectively. In addition, for PM10and PM20, concentrations during train passages of non-coal-carrying trains were not found to be significantly different from PM concentrations during control conditions. Presence of coal dust particles at the site was confirmed by dust fall measurements. Although enhancements of PM concentrations during 14 min train passages were generally modest, passing coal trains occasionally enhanced concentrations at 50 m from the tracks by ∼100 μgm-3. Results showed that not every train passage increased PM concentrations, and the effect appears to be highly dependent on wind direction, local meteorology and load related factors. LiDAR imagery suggests that re-mobilization of track-side PM by train-induced turbulence may be a significant contributor to coarse particle enhancements.
authors.affiliation: Dept. of Earth, Ocean, and Atmospheric Sciences, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
authors.forename: K
authors.initials: K
authors.lastname: Akaoka
authors.affiliation: Dept. of Geography, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada. Electronic address: ian@geog.ubc.ca.
authors.forename: I
authors.initials: I
authors.lastname: McKendry
authors.affiliation: Planning, Policy, and Environment, Metro Vancouver, Burnaby, BC, V5H 4G8, Canada.
authors.forename: J
authors.initials: J
authors.lastname: Saxton
authors.affiliation: Dept. of Geography, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
authors.forename: P W
authors.initials: PW
authors.lastname: Cottle
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D001955:British Columbia; D003031:Coal / Q000032:analysis*; D004391:Dust / Q000032:analysis*; D004784:Environmental Monitoring; D010316:Particle Size; D052638:Particulate Matter / Q000032:analysis*; D010865:Pilot Projects; D011890:Railroads; D014919:Wind
chemical_list: D000393:Air Pollutants; D003031:Coal; D004391:Dust; D052638:Particulate Matter
keywords: Coal dust; Micropulse LiDAR; Particulate matter; Train emissions