@article {146,
	title = {Quantifying the impact of traffic-related air pollution on the indoor air quality of a naturally ventilated building},
	journal = {Environment International},
	volume = {89-90},
	year = {2016},
	month = {04/2106},
	pages = {138 - 146},
	abstract = {Improper natural ventilation practices may deteriorate indoor air quality when in close proximity to roadways, although the intention is often to reduce energy consumption. In this study, we employed a CFD-based air quality model to quantify the impact of traffic-related air pollution on the indoor air quality of a naturally ventilated building. Our study found that the building envelope restricts dispersion and dilution of particulate matter. The indoor concentration in the baseline condition located 10m away from the roadway is roughly 16{\textendash}21\% greater than that at the edge of the roadway. The indoor flow recirculation creates a well-mixed zone with little variation in fine particle concentration (i.e., 253nm). For ultrafine particles (<100nm), a noticeable decrease in particle concentrations indoors with increasing distance from the road is observed due to Brownian and turbulent diffusion. In addition, the indoor concentration strongly depends on the distance between the roadway and building, particle size, wind condition, and window size and location. A break-even point is observed at D'~2.1 (normalized distance from the roadway by the width of the road). The indoor particle concentration is greater than that at the highway where D'<2.1, and vice versa. For new building planning, the distance from the roadway and the ambient wind condition need to be considered at the early design stage whereas the size and location of the window openings, the interior layout, and the placement of fresh air intakes are important to the indoor air quality of existing buildings adjacent to roadways.},
	keywords = {Computational fluid dynamics (CFD), I/O ratio, Indoor air quality, Natural ventilation, Particulate matter, Ultrafine particles (UFPs)},
	isbn = {0160-4120},
	doi = {10.1016/j.envint.2016.01.016},
	url = {http://www.sciencedirect.com/science/article/pii/S0160412016300162},
	author = {Tong, Zheming and Chen, Yujiao and Malkawi, Ali and Gary Adamkiewicz and John D. Spengler}
}
