Document Detail


A novel method for determination of size resolved, submicrometer particle traffic emission factors.
MedLine Citation:
PMID:  16245834     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A novel approach to determine size-segregated particle number emission factors for traffic is presented. It was proven that using limited data sets (800-2000 samples) statistically significant emission factors from road traffic can be extracted. In this study data from four sites were used for calculating emission factors (rural and urban roadside, urban rooftop, and urban background). The measurements were performed using SMPS/DMPS (scanning or differential particle sizers) from TSI and commercial gas analyzers. Describing the particle concentration as a ratio to an exhaust trace gas, e.g. NOx, the dilution effect will be minimized. This ratio is easily compared among different studies. By knowledge of the emission factor of the chosen trace gas the emission ratio can be converted to an emission factor for particle numbers of defined particle sizes. For the presented method only one measurement site is needed, where the difference between high and low (background) traffic exposure is used. To define high and low traffic exposure, the best result was obtained using high ratio of [NO] to [NO2] and low [NOx], respectively. Emission ratios for 10-100-nm particles at two road sites, one high-speed 90-kmph rural case and one urban, slower, and more congested situation, were determined to (35 +/- 15) x 10(14) and (24 +/- 8) x 10(14) particles per mole NOx, respectively.
Authors:
Sara Janhäll; Mattias Hallquist
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Environmental science & technology     Volume:  39     ISSN:  0013-936X     ISO Abbreviation:  Environ. Sci. Technol.     Publication Date:  2005 Oct 
Date Detail:
Created Date:  2005-10-25     Completed Date:  2006-06-08     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0213155     Medline TA:  Environ Sci Technol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  7609-15     Citation Subset:  IM    
Affiliation:
Department of Chemistry, Atmospheric Science, S-412 96 Göteborg, Sweden. saraj@chem.gu.se
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MeSH Terms
Descriptor/Qualifier:
Environment*
Environmental Monitoring / methods*
Models, Theoretical*
Particle Size
Transportation*
Vehicle Emissions / analysis*
Chemical
Reg. No./Substance:
0/Vehicle Emissions

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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