Source Identification of Traffic-Related Ultrafine Particles Data Mining Contest | Zendy

Kelly Sabaliauskas | Zendy; Greg J. Evans | Zendy; Cheol–Heon Jeong | Zendy

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Source Identification of Traffic-Related Ultrafine Particles Data Mining Contest

Author(s) -

Kelly Sabaliauskas,

Greg J. Evans,

Cheol–Heon Jeong

Publication year - 2012

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2012.09.118

Subject(s) - ultrafine particle , aerosol , particulates , gasoline , environmental science , particle size , diesel fuel , fraction (chemistry) , diesel exhaust , particle (ecology) , materials science , computer science , meteorology , chemical engineering , automotive engineering , nanotechnology , chemistry , waste management , physics , geology , engineering , oceanography , organic chemistry

Atmospheric particulate matter (PM) is a complex mixture of microscopic particles with different shapes, sizes and chemical compositions. The ultrafine size fraction of PM consists of particles with diameters less than 100nm. In urban areas, traffic is a dominant source of ultrafine particles (UFP). Gasoline-powered and diesel-powered engines emit UFP with different size distributions and chemical compositions. This paper describes the UFP and supporting data provided by Southern Ontario Centre for Atmospheric Aerosol Research for the purposes of identifying particle size distributions emitted from diesel-powered and gasoline-powered vehicles

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