scholarly journals Exhaust emissions of particulate matter from light-duty vehicles – an overview and the current situation

2017 ◽  
Vol 171 (4) ◽  
pp. 227-238
Author(s):  
Piotr BIELACZYC ◽  
Andrzej SZCZOTKA ◽  
Joseph WOODBURN

Emissions of particulate matter associated with the use of light-duty vehicles are an increasingly important topic, with more and more political attention focused on this issue. Now that direct injection Diesel engines feature DPFs, particle emissions from other engine types operating on other fuels are also of great interest. This paper discusses the phenomenon in general, briefly reviews worldwide legislation and emissions limits and presents the results of a laboratory test programme measuring the particle emissions from a range of vehicles. The experimental programme showed that the engine/fuel type has a greater impact on particle emissions than the test conditions.

2009 ◽  
Vol 157 (8-9) ◽  
pp. 2320-2327 ◽  
Author(s):  
Elias Vouitsis ◽  
Leonidas Ntziachristos ◽  
Panayiotis Pistikopoulos ◽  
Zissis Samaras ◽  
Loukia Chrysikou ◽  
...  

2017 ◽  
Vol 208 ◽  
pp. 1538-1561 ◽  
Author(s):  
Kai Morganti ◽  
Marwan Al-Abdullah ◽  
Abdullah Alzubail ◽  
Gautam Kalghatgi ◽  
Yoann Viollet ◽  
...  

Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 643
Author(s):  
Sofia Caumo ◽  
Roy E. Bruns ◽  
Pérola C. Vasconcellos

This study presents the emission profiles of n-alkanes for different vehicular sources in two Brazilian cities. Atmospheric particulate matter was collected in São Paulo (Southeast) and in Salvador (Northeast) to determine n-alkanes. The sites were impacted by bus emissions and heavy and light-duty vehicles. The objective of the present study is to attempt to differentiate the profile of n-alkane emissions for particulate matter (PM) collected at different sites. PM concentrations ranged between 73 and 488 µg m−3, and the highest concentration corresponded to a tunnel for light and heavy duty vehicles. At sites where diesel-fueled vehicles are dominant, the n-alkanes show a unimodal distribution, which is different from the bimodal profile observed in the literature. Carbon preference index values corresponded to anthropogenic sources for most of the sites, as expected, but Cmax varied comparing to literature and a source signature was difficult to observe. The main sources to air pollution were indicated by principal component analysis (PCA). For PCA, a receptor model often used as an exploratory tool to identify the major sources of air pollutant emissions, the principal factors were attributed to mixed sources and to bus emissions. Chromatograms of four specific samples showed distinct profiles of unresolved complex mixtures (UCM), indicating different contributions of contamination from petroleum or fossil fuel residues, which are unable to resolve by gas chromatography. The UCM area seemed higher in samples collected at sites with the abundance of heavy vehicles.


2006 ◽  
Vol 40 (27) ◽  
pp. 5224-5235 ◽  
Author(s):  
Matthew T. Spencer ◽  
Laura G. Shields ◽  
David A. Sodeman ◽  
Stephen M. Toner ◽  
Kimberly A. Prather

2014 ◽  
Vol 7 (1) ◽  
pp. 183-199 ◽  
Author(s):  
George Karavalakis ◽  
Daniel Short ◽  
Diep Vu ◽  
Mark Villela ◽  
Robert Russell ◽  
...  

1997 ◽  
Vol 31 (5) ◽  
pp. 1302-1307 ◽  
Author(s):  
Patricia A. Mulawa ◽  
Steven H. Cadle ◽  
Kenneth Knapp ◽  
Roy Zweidinger ◽  
Richard Snow ◽  
...  

2016 ◽  
Vol 9 (3) ◽  
pp. 1775-1785 ◽  
Author(s):  
Huzeifa Badshah ◽  
David Kittelson ◽  
William Northrop

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