Literature DB >> 15242151

On-road vehicle particulate matter and gaseous emission distributions in Las Vegas, Nevada, compared with other areas.

Claudio Mazzoleni1, Hampden D Kuhns, Hans Moosmüller, Robert E Keislar, Peter W Barber, Norman F Robinson, John G Watson, Djordje Nikolic.   

Abstract

During the spring and summer of 2000, 2001, and 2002, gaseous and particulate matter (PM) fuel-based emission factors for approximately 150,000 low-tailpipe, individual vehicles in the Las Vegas, NV, area were measured via on-road remote sensing. For the gaseous pollutants (carbon monoxide, hydrocarbons, and nitrogen oxide), a commercial vehicle emissions remote sensing system (VERSS) was used. The PM emissions were determined using a Lidar-based VERSS. Emission distributions and their shapes were analyzed and compared with previous studies. The large skewness of the distributions is evident for both gaseous pollutants and PM and has important implications for emission reduction policies, because the majority of emissions are attributed to a small fraction of vehicles. Results of this Las Vegas study and studies at other geographical locations were compared. The gaseous pollutants were found to be close to those measured by VERSS in other U.S. cities. The PM emission factors for spark ignition and diesel vehicles are in the range of previous tunnel and dynamometer studies.

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Year:  2004        PMID: 15242151     DOI: 10.1080/10473289.2004.10470938

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  2 in total

1.  Derivation of motor vehicle tailpipe particle emission factors suitable for modelling urban fleet emissions and air quality assessments.

Authors:  Diane U Keogh; Joe Kelly; Kerrie Mengersen; Rohan Jayaratne; Luis Ferreira; Lidia Morawska
Journal:  Environ Sci Pollut Res Int       Date:  2009-06-26       Impact factor: 4.223

2.  Comparing the Use of High- to Low-Cost Black Carbon and Carbon Dioxide Sensors for Characterizing On-Road Diesel Truck Emissions.

Authors:  Rebecca A Sugrue; Chelsea V Preble; Thomas W Kirchstetter
Journal:  Sensors (Basel)       Date:  2020-11-24       Impact factor: 3.576

  2 in total

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