Modeling near-road air quality using a computational fluid dynamics model, CFD-VIT-RIT

Environmental Science & Technology
Y Jason Wang, K Max Zhang

Abstract

It is well recognized that dilution is an important mechanism governing the near-road air pollutant concentrations. In this paper, we aim to advance our understanding of turbulent mixing mechanisms on and near roadways using computation fluid dynamics. Turbulent mixing mechanisms can be classified into three categories according to their origins: vehicle-induced turbulence (VIT), road-induced turbulence (RIT), and atmospheric boundary layer turbulence. RIT includes the turbulence generated by road embankment, road surface thermal effects, and roadside structures. Both VIT and RIT are affected by the roadway designs. We incorporate the detailed treatment of VIT and RIT into the CFD (namely CFD-VIT-RIT) and apply the model in simulating the spatial gradients of carbon monoxide near two major highways with different traffic mix and roadway configurations. The modeling results are compared to the field measurements and those from CALINE4 and CFD without considering VIT and RIT. We demonstrate that the incorporation of VIT and RIT considerably improves the modeling predictions, especially on vertical gradients and seasonal variations of carbon monoxide. Our study implies that roadway design can significantly influence the near-road ...Continue Reading

References

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Citations

Nov 17, 2011·Environmental Science & Technology·Zheming TongK Max Zhang
Aug 15, 2015·Environmental Pollution·Zheming TongBenjamin Flanner
Oct 13, 2015·The Science of the Total Environment·Zheming TongK Max Zhang
Mar 24, 2015·Environmental Pollution·Zheming TongYoshiki Harada
Jan 27, 2017·International Journal of Environmental Research and Public Health·Jiangshe Zhang, Weifu Ding
Nov 22, 2016·Environmental Health Insights·Michael J BrownKenneth A Werley
Jun 1, 2017·Air Quality, Atmosphere, & Health·Jennifer Richmond-BryantSue Kimbrough
Mar 23, 2018·Environmental Science & Technology·Bo YangXian Wu

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