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Development of a composite line source emission model for traffic interrupted microenvironments and its application in particle number emissions at a bus station

机译:交通中断微环境复合线源排放模型的开发及其在公交车站颗粒物排放中的应用

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A composite line source emission (CLSE) model was developed to specifically quantify exposure levels and describe the spatial variability of vehicle emissions in traffic interrupted microenvironments. This model took into account the complexity of vehicle movements in the queue, as well as different emission rates relevant to various driving conditions (cruise, decelerate, idle and accelerate), and it utilised multi-representative segments to capture the accurate emission distribution for real vehicle flow. Hence, this model was able to quickly quantify the time spent in each segment within the considered zone, as well as the composition and position of the requisite segments based on the vehicle fleet information, which not only helped to quantify the enhanced emissions at critical locations, but it also helped to define the emission source distribution of the disrupted steady flow for further dispersion modelling. The model then was applied to estimate particle number emissions at a bi-directional bus station used by diesel and compressed natural gas fuelled buses. It was found that the acceleration distance was of critical importance when estimating particle number emission, since the highest emissions occurred in sections where most of the buses were accelerating and no significant increases were observed at locations where they idled. It was also shown that emissions at the front end of the platform were 43 times greater than at the rear of the platform. Although the CLSE model is intended to be applied in traffic management and transport analysis systems for the evaluation of exposure, as well as the simulation of vehicle emissions in traffic interrupted microenvironments, the bus station model can also be used for the input of initial source definitions in future dispersion models.
机译:开发了一种复合线源排放(CLSE)模型来专门量化暴露水平并描述在交通中断的微环境中车辆排放的空间变异性。该模型考虑了队列中车辆运动的复杂性以及与各种驾驶条件(巡航,减速,怠速和加速)相关的不同排放率,并利用多代表段来捕获实际的准确排放分布。车辆流量。因此,该模型能够快速量化所考虑区域内每个路段所花费的时间,以及基于车队信息的必要路段的组成和位置,这不仅有助于量化关键位置的增强排放,但它也有助于定义中断的稳定流的排放源分布,以进行进一步的扩散建模。然后,该模型用于估算柴油和压缩天然气燃料公交车使用的双向公交车站的颗粒物排放量。已发现,在估算颗粒物排放量时,加速距离至关重要,因为最高排放量发生在大多数公交车正在加速的区域,并且在它们闲置的位置没有观察到明显的增加。还显示出平台前端的排放量是平台后端的43倍。尽管CLSE模型旨在用于交通管理和交通分析系统中,以评估暴露程度,以及在交通中断的微环境中模拟车辆排放,但是公交车站模型也可以用于输入初始来源定义在未来的色散模型中。

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