Air pollution has been proven as a significant risk factor for multiple health conditions. A major portion of urban air pollution is attributed to vehicle emissions. In this study, a high school which is close to an interstate highway is numerical simulated to estimate the impact of traffic emissions on air quality. Two probability density functions, Weibull distribution and Rayleigh distribution, were used in wind data statistical analysis. A numerical method was used to estimate the wind speed at study site based on the wind data in meteorology stations. Both indoor and outdoor environment were simulated using computational fluid dynamics (CFD). The airflow and the dispersion of particulate air pollutants emitted from the highways surrounding the high school building were analyzed. The wind flow was simulated using Reynolds-Averaged Navier Stokes (RANS) model. The particulate matters are tracked using Lagrangian model. For the indoor simulation, the standard k-ε model is employed to model the air-phase turbulence. Discrete phase model (DPM) and Eulerian multiphase model were utilized for the particle phase, respectively. The comparison shows that the Lagrangian approach has better agreement since the dispersed-phase volume fractions are less than 10%.
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ASME 2014 International Mechanical Engineering Congress and Exposition
November 14–20, 2014
Montreal, Quebec, Canada
Conference Sponsors:
- ASME
ISBN:
978-0-7918-4958-3
PROCEEDINGS PAPER
Environment Analysis Near a Highway Using Computational Fluid Dynamics Available to Purchase
Xinwei Zhuang,
Xinwei Zhuang
Purdue University Calumet, Hammond, IN
Search for other works by this author on:
Xiuling Wang
Xiuling Wang
Purdue University Calumet, Hammond, IN
Search for other works by this author on:
Xinwei Zhuang
Purdue University Calumet, Hammond, IN
Xiuling Wang
Purdue University Calumet, Hammond, IN
Paper No:
IMECE2014-38717, V009T12A009; 6 pages
Published Online:
March 13, 2015
Citation
Zhuang, X, & Wang, X. "Environment Analysis Near a Highway Using Computational Fluid Dynamics." Proceedings of the ASME 2014 International Mechanical Engineering Congress and Exposition. Volume 9: Mechanics of Solids, Structures and Fluids. Montreal, Quebec, Canada. November 14–20, 2014. V009T12A009. ASME. https://doi.org/10.1115/IMECE2014-38717
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