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Spatial and Temporal Distribution of Highway-Generated Air Pollution in a Residential Urban Neighborhood: Comparison of Monitoring and Dispersion Modeling Results

机译:城市居民区公路产生的空气污染的时空分布:监测和扩散模拟结果的比较

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Exposure to highway-generated air pollution is associated with elevated risk for adverse health effects. However, quantification of exposures, and hence health risk, is hampered by incomplete knowledge of the spatial and temporal variation of pollutants in near-highway residential areas. As part of a study to determine whether people who live near highways express measurably higher risk factors for cardiovascular disease, we developed a mobile laboratory to measure near-highway air pollution gradients at relatively high temporal resolution. In this paper, we report a subset of measured spatial and temporal variation of fine and ultrafine particles (7-225 nm) in the near-highway urban environment, and we evaluate the ability of the CALINE4 software package to predict ultrafine particle concentrations on an hourly timescale. CALINE4 is a line source Gaussian dispersion model intended for regulatory modeling of pollutants in areas within 400 m of highways. Fine and ultrafine particle monitoring was done within an 8,000 m2 area that straddles the highway. Small-scale spatial and short-term temporal variations were found in both upwind and downwind pollutant levels. Particle number concentration generally decreased with increasing distance from Ⅰ-93, though the slope of the concentration gradient varied with time of day, wind direction, and day of the week. Experimental measurements on a transect perpendicular to Ⅰ-93 were compared to the results from CALINE4 for the morning of January 6, 2010. Using estimated emission factors of 9 x 10~14 to 18 x 10~14 particles (7-225 nm) per vehicle per mile, we achieved the best agreement between the model and the data. These calculated emission factors are consistent with values previously published in the literature. These early results suggest that a more refined model can be developed that estimates concentrations of ultrafine particles over the entire study area.
机译:暴露于高速公路产生的空气污染会增加不利健康影响的风险。然而,由于对高速公路附近居民区污染物的时空变化的不完全了解,暴露的量化以及健康风险受到了限制。作为确定居住在高速公路附近的人是否表达出心血管疾病危险因素的研究的一部分,我们开发了一个移动实验室,以相对较高的时间分辨率测量高速公路附近的空气污染梯度。在本文中,我们报告了在高速公路近郊环境中测得的细颗粒和超细颗粒(7-225 nm)的时空变化的子集,并且我们评估了CALINE4软件包预测超细颗粒浓度的能力。每小时时间表。 CALINE4是线源高斯色散模型,旨在对高速公路400 m以内的区域的污染物进行法规建模。在横跨高速公路的8,000平方米区域内进行了细颗粒和超细颗粒监测。在上风和下风的污染物水平上都发现了小规模的空间和短期时间变化。粒子数浓度通常随着距Ⅰ-93距离的增加而降低,尽管浓度梯度的斜率随一天中的时间,风向和一周中的一天而变化。将垂直于Ⅰ-93的断面的实验测量结果与CALINE4于2010年1月6日的结果进行了比较。使用的发射因子估计为9 x 10〜14至18 x 10〜14个粒子(7-225 nm)/车辆每英里,我们在模型和数据之间取得了最佳的一致性。这些计算出的排放因子与先前文献中公布的值一致。这些早期结果表明,可以开发出更精细的模型,以估计整个研究区域内超细颗粒的浓度。

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