Literature DB >> 16294872

Real-world emission factors of fine and ultrafine aerosol particles for different traffic situations in Switzerland.

David Imhof1, Ernest Weingartner, Carlos Ordónez, Robert Gehrig, Matz Hill, Brigitte Buchmann, Urs Baltensperger.   

Abstract

Extended field measurements of particle number (size distribution of particle diameters, D, in the range between 18 nm and 10 microm), surface area concentrations, and PM1 and PM10 mass concentrations were performed in Switzerland to determine traffic emissions using a comprehensive set of instruments. Measurements took place at roads with representative traffic regimes: at the kerbside of a motorway (120 km h(-1)), a highway (80-100 km h(-1)), and in an urban area with stop-and-go traffic (0-50 km h(-1)) regulated by light signals. Mean diurnal variations showed that the highest pollutant concentrations were during the morning rush hours, especially of the number density in the nanoparticle size range (D <50 nm). From the differences between up- and downwind concentrations (or differences between kerbside and background concentrations for the urban site), "real-life" emission factors were derived using NOx concentrations to calculate dilution factors. Particle number and volume emission factors of different size ranges (18-50 nm, 18-100 nm, and 18-300 nm) were derived for the total vehicle fleet and separated into a light-duty (LDV) and a heavy-duty vehicle (HDV) contribution. The total particle number emissions per vehicle were found to be about 11.7-13.5 x 10(14) particles km(-1) for constant speed (80-120 km h(-1) and 3.9 x 10(14) particles km(-1) for urban driving conditions. LDVs showed higher emission factors at constant high speed than under urban disturbed traffic flow. In contrast, HDVs emitted more air pollutants during deceleration and acceleration processes in stop-and-go traffic than with constant speed of about 80 km h(-1). On average, one HDV emits a 10-30 times higher amount of particulate air pollutants (in terms of both number and volume) than one LDV.

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Year:  2005        PMID: 16294872     DOI: 10.1021/es048925s

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  5 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.  Temporal distribution of air quality related to meteorology and road traffic in Madrid.

Authors:  Pedro J Perez-Martinez; Regina M Miranda
Journal:  Environ Monit Assess       Date:  2015-04-01       Impact factor: 2.513

3.  The effects of roadside vegetation characteristics on local, near-road air quality.

Authors:  Parikshit Deshmukh; Vlad Isakov; Akula Venkatram; Bo Yang; K Max Zhang; Russell Logan; Richard Baldauf
Journal:  Air Qual Atmos Health       Date:  2019-03-11       Impact factor: 3.763

4.  Transient variation of aerosol size distribution in an underground subway station.

Authors:  Soon-Bark Kwon; Hyeong-Gyu Namgung; Wootae Jeong; Duckshin Park; Jin Ki Eom
Journal:  Environ Monit Assess       Date:  2016-05-24       Impact factor: 2.513

5.  Sampling Low Air Pollution Concentrations at a Neighborhood Scale in a Desert U.S. Metropolis with Volatile Weather Patterns.

Authors:  Nathan Lothrop; Nicolas Lopez-Galvez; Robert A Canales; Mary Kay O'Rourke; Stefano Guerra; Paloma Beamer
Journal:  Int J Environ Res Public Health       Date:  2022-03-08       Impact factor: 4.614

  5 in total

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