4.7 Article

Characterizing particulate polycyclic aromatic hydrocarbon emissions from diesel vehicles using a portable emissions measurement system

Journal

SCIENTIFIC REPORTS
Volume 7, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-017-09822-w

Keywords

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Funding

  1. National Key Research and Development Program of China [2017YFC0212100]
  2. National Natural Science Foundation of China (NSFC) [91544222]
  3. Ministry of Science and Technology (MOST)'s International Science and Technology Cooperation Program [2016YFE0106300]
  4. China Postdoctoral Science Foundation [2017M610092]
  5. Cornell University's David R Atkinson Center for a Sustainable Future (ACSF)
  6. Cornell University's Jeffrey Sean Lehman Fund

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Particulate polycyclic aromatic hydrocarbons (p-PAHs) emitted from diesel vehicles are of concern because of their significant health impacts. Laboratory tests, road tunnel and roadside experiments have been conducted to measure p-PAH emissions. While providing valuable information, these methods have limited capabilities of characterizing p-PAH emissions either from individual vehicles or under real-world conditions. We employed a portable emissions measurement (PEMS) to measure real-world emission factors of priority p-PAHs for diesel vehicles representative of an array of emission control technologies. The results indicated over 80% reduction in p-PAH emission factors comparing the China V and China II emission standard groups (113 mu g kg(-1) vs. 733 mu g kg(-1)). The toxicity abatement in terms of Benzo[a] pyrene equivalent emissions was substantial because of the large reductions in highly toxic components. By assessing real traffic conditions, the p-PAH emission factors on freeways were lower than on local roads by 52% +/- 24%. A significant correlation (R-2=0.85) between the p-PAH and black carbon emissions was identified with a mass ratio of approximately 1/2000. A literature review indicated that diesel p-PAH emission factors varied widely by engine technology, measurement methods and conditions, and the molecular diagnostic ratio method for source apportionment should be used with great caution.

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