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Vehicle, driver and atmospheric factors in light-duty vehicle particle number emissions.

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English


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  • Abstract:
    Made possible by the collection of on-board tailpipe emissions data, this research identifies road

    and driver factors that are associated with a relatively understudied tailpipe pollutant from light-duty vehicles: ultrafine particle number emissions. High emission events (HEE) of ultrafine

    particle number (PN) emissions occurred most frequently at locations with steep upgrades or

    locations that required moderate to rapid accelerations (>3 mph/s). The analysis revealed that

    less than 2% of the time driving was responsible for almost a third of all ultrafine particles

    emitted along the designated 17-mile test route for a sample of 22 drivers. Variables identified

    in a generalized linear model as significant to PN emissions include measures of engine speed

    (RPM), driver behavior (speed and acceleration rates), and road geometry (grade). These factors

    account for approximately 61% of the variability measured. Few modal emissions models

    estimate PN emissions; however, this research has revealed that the same predictor variables

    used to model gas pollutants are significant predictors of PN emissions. Therefore, the addition

    of PN emissions estimates to existing models would require little effort if these relationships

    were developed with larger datasets. This project also documented additional challenges related

    to on-board PN data collection related to temperature, humidity, and background PN

    concentrations. Finally, a large amount of the variation in light-duty PN emissions remains

    unexplained, suggesting a need for more comprehensive on-board datasets, including data on

    particle size distribution.

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    urn:sha-512:623a6f4cd4bd3cc7048b65e3c20ebfbfc79f9348bad1507a44d38e49f080572a87669ce7956c09506262a777558c03295f400d8ac82d31f5097dca9b5eb635c8
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File Language:
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