Abstract
This study examined the effect of maintaining a 2 metre distance between vehicles on commuter pollution exposure levels. Air quality samples were recorded inside cars on a busy road in Dublin. A turbulent dispersion model was used to predict the exposure levels from idling cars. Samples were recorded along the route by keeping a distance of approximately 2 metres by sight to the car in front, and then a second time keeping a distance of approximately 1 meter. Traffic numbers were recorded during each sample from local authority loops. Meteorological and idling time data were also recorded for a total of 10 pairs of samples. Experiments were then conducted to measure volatile organic compounds (VOCs) and particulate matter (PM{sub 2.5}). A calibrated computational fluid dynamics (CFD) model was then used to predict car exposure levels under varying conditions. Key parameters included ventilation rates; wind speed; and distance. The calibrated numerical model demonstrated that the pollution concentration decreased rapidly within the first 2 metres of the preceding exhaust. Maintaining a distance of 2 metres to the preceding vehicle showed a reduction in VOCs and particulate matter of approximately 30 to 40 per cent. It was concluded that further research is needed
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McNabola, A;
Broderick, B M;
Gill, L W
[1]
- Trinity College, Dublin (Ireland). Dept. of Civil, Structural, and Environmental Engineering
Citation Formats
McNabola, A, Broderick, B M, and Gill, L W.
Experimental and numerical investigation of idling car exposure.
Canada: N. p.,
2006.
Web.
McNabola, A, Broderick, B M, & Gill, L W.
Experimental and numerical investigation of idling car exposure.
Canada.
McNabola, A, Broderick, B M, and Gill, L W.
2006.
"Experimental and numerical investigation of idling car exposure."
Canada.
@misc{etde_20949004,
title = {Experimental and numerical investigation of idling car exposure}
author = {McNabola, A, Broderick, B M, and Gill, L W}
abstractNote = {This study examined the effect of maintaining a 2 metre distance between vehicles on commuter pollution exposure levels. Air quality samples were recorded inside cars on a busy road in Dublin. A turbulent dispersion model was used to predict the exposure levels from idling cars. Samples were recorded along the route by keeping a distance of approximately 2 metres by sight to the car in front, and then a second time keeping a distance of approximately 1 meter. Traffic numbers were recorded during each sample from local authority loops. Meteorological and idling time data were also recorded for a total of 10 pairs of samples. Experiments were then conducted to measure volatile organic compounds (VOCs) and particulate matter (PM{sub 2.5}). A calibrated computational fluid dynamics (CFD) model was then used to predict car exposure levels under varying conditions. Key parameters included ventilation rates; wind speed; and distance. The calibrated numerical model demonstrated that the pollution concentration decreased rapidly within the first 2 metres of the preceding exhaust. Maintaining a distance of 2 metres to the preceding vehicle showed a reduction in VOCs and particulate matter of approximately 30 to 40 per cent. It was concluded that further research is needed to determine if modified driving behaviours will promote higher levels of traffic congestion. 11 refs., 6 tabs., 11 figs.}
place = {Canada}
year = {2006}
month = {Jul}
}
title = {Experimental and numerical investigation of idling car exposure}
author = {McNabola, A, Broderick, B M, and Gill, L W}
abstractNote = {This study examined the effect of maintaining a 2 metre distance between vehicles on commuter pollution exposure levels. Air quality samples were recorded inside cars on a busy road in Dublin. A turbulent dispersion model was used to predict the exposure levels from idling cars. Samples were recorded along the route by keeping a distance of approximately 2 metres by sight to the car in front, and then a second time keeping a distance of approximately 1 meter. Traffic numbers were recorded during each sample from local authority loops. Meteorological and idling time data were also recorded for a total of 10 pairs of samples. Experiments were then conducted to measure volatile organic compounds (VOCs) and particulate matter (PM{sub 2.5}). A calibrated computational fluid dynamics (CFD) model was then used to predict car exposure levels under varying conditions. Key parameters included ventilation rates; wind speed; and distance. The calibrated numerical model demonstrated that the pollution concentration decreased rapidly within the first 2 metres of the preceding exhaust. Maintaining a distance of 2 metres to the preceding vehicle showed a reduction in VOCs and particulate matter of approximately 30 to 40 per cent. It was concluded that further research is needed to determine if modified driving behaviours will promote higher levels of traffic congestion. 11 refs., 6 tabs., 11 figs.}
place = {Canada}
year = {2006}
month = {Jul}
}