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Linking In-Vehicle Ultrafine Particle Exposures to On-Road Concentrations.


ABSTRACT: For traffic-related pollutants like ultrafine particles (UFP, Dp < 100 nm), a significant fraction of overall exposure occurs within or close to the transit microenvironment. Therefore, understanding exposure to these pollutants in such microenvironments is crucial to accurately assessing overall UFP exposure. The aim of this study was to develop models for predicting in-cabin UFP concentrations if roadway concentrations are known, taking into account vehicle characteristics, ventilation settings, driving conditions and air exchange rates (AER). Particle concentrations and AER were measured in 43 and 73 vehicles, respectively, under various ventilation settings and driving speeds. Multiple linear regression (MLR) and generalized estimating equation (GEE) regression models were used to identify and quantify the factors that determine inside-to-outside (I/O) UFP ratios and AERs across a full range of vehicle types and ages. AER was the most significant determinant of UFP I/O ratios, and was strongly influenced by ventilation setting (recirculation or outside air intake). Inclusion of ventilation fan speed, vehicle age or mileage, and driving speed explained greater than 79% of the variability in measured UFP I/O ratios.

SUBMITTER: Hudda N 

PROVIDER: S-EPMC3718189 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature

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Linking In-Vehicle Ultrafine Particle Exposures to On-Road Concentrations.

Hudda Neelakshi N   Eckel Sandrah P SP   Knibbs Luke D LD   Sioutas Constantinos C   Delfino Ralph J RJ   Fruin Scott A SA  

Atmospheric environment (Oxford, England : 1994) 20121101


For traffic-related pollutants like ultrafine particles (UFP, D<sub>p</sub> < 100 nm), a significant fraction of overall exposure occurs within or close to the transit microenvironment. Therefore, understanding exposure to these pollutants in such microenvironments is crucial to accurately assessing overall UFP exposure. The aim of this study was to develop models for predicting in-cabin UFP concentrations if roadway concentrations are known, taking into account vehicle characteristics, ventilat  ...[more]

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