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Modeling Dispersion of Emissions from Depressed Roadways

机译:模拟低洼巷道的排放扩散

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摘要

This paper presents an analysis of data from a wind tunnel () conducted to study dispersion of emissions from three depressed roadway configurations; a 6 m deep depressed roadway with vertical sidewalls, a 6 m deep depressed roadway with 30° sloping sidewalls, and a 9 m deep depressed roadway with vertical sidewalls. The width of the road at the bottom of the depression is 36 m for all cases. All these configurations induce complex flow fields, increase turbulence levels, and decrease surface concentrations downwind of the depressed road compared to those of the at-grade configuration. The parameters of flat terrain dispersion models are modified to describe concentrations measured downwind of the depressed roadways. In the first part of the paper, a flat terrain model proposed by is adapted. It turns out that this model with increased initial vertical dispersion and friction velocity is able to explain the observed concentration field. The results also suggest that the vertical concentration profiles of all cases under neutral conditions are best explained by a vertical distribution function with an exponent of 1.3. In the second part of the paper, these modifications are incorporated into a model based on the RLINE () line-source dispersion model. While this model can be adapted to yield acceptable estimates of near-surface concentrations (z< 6m) measured in the wind tunnel, the Gaussian vertical distribution in RLINE, with an exponent of 2, cannot describe the concentration at higher elevations. Our findings suggest a simple method to account for depressed highways in models such as RLINE and AERMOD through two parameters that modify vertical plume spread.
机译:本文对风洞()进行数据分析,以研究三种低洼巷道构型的排放物扩散。具有垂直侧壁的6 m深凹陷巷道,具有30°倾斜侧壁的6 m深凹陷巷道和具有垂直侧壁的9 m深凹陷巷道。在所有情况下,洼地底部的道路宽度均为36 m。与平地构造相比,所有这些构造都会引起复杂的流场,增加湍流水平并降低下坡路顺风处的表面浓度。修改了平坦地形扩散模型的参数,以描述在低洼道路的顺风处测得的浓度。在本文的第一部分中,采用了由提出的平坦地形模型。事实证明,具有增加的初始垂直离散度和摩擦速度的该模型能够解释观察到的浓度场。结果还表明,所有情况在中性条件下的垂直浓度分布最好用指数为1.3的垂直分布函数来解释。在本文的第二部分中,将这些修改合并到基于RLINE()线源色散模型的模型中。尽管可以对该模型进行调整以得出在风洞中测得的近地表浓度(z <6m)的可接受估计值,但RLINE中的高斯垂直分布(指数为2)无法描述更高海拔处的浓度。我们的发现提出了一种简单的方法,可以通过两个参数来修改垂直羽流扩散,从而在诸如RLINE和AERMOD之类的模型中解释高速公路的低洼状态。

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