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Monte Carlo simulation of nitrogen oxides dispersion from a vehicular exhaust plume and its sensitivity studies

机译:机动车尾气中氮氧化物弥散的蒙特卡罗模拟及其灵敏度研究

摘要

The pollutant dispersion behavior from the vehicular exhaust plume has a direct impact on human health, particularly to the drivers, bicyclists, motorcyclists, pedestrians, people working nearby and vehicle passengers. A two-dimensional pollutant dispersion numerical model was developed based on the joint-scalar probability density function (PDF) approach coupled with a k-ε turbulence model to simulate the initial dispersion process of nitrogen oxides, temperature and flow velocity distributions from a vehicular exhaust plume. A Monte Carlo algorithm was used to solve the PDF transport equations in order to obtain the dispersion distribution of nitrogen oxides concentration. The model was then validated by a series of sensitivity experimental studies in order to assess the effects of vehicular exhaust tailpipe velocities, wind speeds and chemistry on the initial dispersion of NO and NO 2 mass concentrations from the vehicular exhaust plume. The results show that the mass concentrations of nitrogen oxides decrease along the centerline of the vehicular exhaust plume in the downstream distance. The dispersion process can be enhanced when the vehicular exhaust tailpipe velocity is much larger than the wind speed. The oxidation reaction of NO plays an important role when the wind speed is large and the vehicular exhaust exit velocity is small, which leads to chemical reduction of NO, and the formation and accumulation of NO 2 in the exhaust plume. It is also found that the effect of vehicular exhaust-induced turbulence in the vicinity of the exhaust tailpipe exit is more dominant than the effect of wind turbulence, while the wind turbulence gradually shows a significant role for the dispersion of nitrogen oxides along with the development of exhaust plume. The range of dispersion of nitrogen oxides in the radial direction is increased along with the development of vehicular exhaust plume.
机译:车辆尾气中污染物的扩散行为直接影响人类健康,特别是对驾驶员,骑自行车的人,摩托车手,行人,附近工作的人和乘车人。基于联合标量概率密度函数(PDF)方法和k-ε湍流模型,建立了二维污染物弥散数值模型,以模拟氮氧化物的初始弥散过程,汽车排气中的温度和流速分布羽。为了获得氮氧化物浓度的分散分布,使用了蒙特卡罗算法来求解PDF输运方程。然后通过一系列敏感性实验研究验证该模型,以评估车辆排气尾管的速度,风速和化学物质对车辆尾气中NO和NO 2质量浓度初始分散的影响。结果表明,在下游距离,氮氧化物的质量浓度沿车辆尾气羽流的中心线降低。当车辆排气尾管的速度远大于风速时,可以增强扩散过程。当风速大且车辆排气出口速度较小时,NO的氧化反应起着重要的作用,这导致NO的化学还原以及NO 2在排气羽流中的形成和积累。还发现,在排气尾管出口附近,车辆排气引起的湍流的影响比风湍流的影响更为显着,而风湍流随着氮氧化物的发展逐渐显示出对氮氧化物弥散的重要作用。尾羽。随着车辆尾气羽流的发展,氮氧化物在径向上的分散范围增加。

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