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On-road rapid identification of high-polluting transport buses

机译:高污染运输巴士的公路快速识别

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摘要

Exhaust emissions from motor vehicles vary widely and depend on factors such as engine operating conditions, fuel, age, mileage and service history. A method has been devised to rapidly identify high-polluting vehicles as they travel on the road. The method is able to monitor emissions from a large number of vehicles in a short time and avoids the need to conduct expensive and time consuming tests on chassis dynamometers. ududA sample of the exhaust plume is captured as each vehicle passes a roadside monitoring station and the pollutant emission factors are calculated from the measured concentrations using carbon dioxide as a tracer. Although, similar methods have been used to monitor soot and gaseous mass emissions, to-date it has not been used to monitor particle number emissions from a large fleet of vehicles. This is particularly important as epidemiological studies have shown that particle number concentration is an important parameter in determining adverse health effects.ududThe method was applied to measurements of particle number emissions from individual buses in the Brisbane City Council diesel fleet operating on the South-East Busway. Results indicate that the particle number emission factors are gamma- distributed, with a high proportion of the emissions being emitted by a small percentage of the buses. Although most of the high-emitters are the oldest buses in the fleet, there are clear exceptions, with some newer buses emitting as much. We attribute this to their recent service history, particularly pertaining to improper tuning of the engines. We recommend that a targeted correction program would be a highly effective measure in mitigating urban environmental pollution.
机译:机动车的废气排放差异很大,并取决于诸如发动机工况,燃料,使用年限,行驶里程和使用历史等因素。已经设计出一种方法来快速识别高污染的车辆在道路上行驶。该方法能够在短时间内监视大量车辆的排放,并且无需在底盘测功机上进行昂贵且费时的测试。 ud ud每辆车经过路边监测站时都会采集废气羽流样本,并使用二氧化碳作为示踪剂,根据测量的浓度计算污染物排放因子。尽管已经使用了类似的方法来监视烟尘和气体质量排放,但是迄今为止,尚未使用它来监视大型车队的颗粒物排放。这一点尤为重要,因为流行病学研究表明,颗粒物浓度是确定不良健康影响的重要参数。 ud ud该方法用于测量在南部布里斯班市议会柴油车队中每辆公共汽车的颗粒物排放量-东公交专用道。结果表明,颗粒数排放因子是伽马分布的,其中很大一部分排放是由一小部分公交车排放的。尽管大多数高排放汽车是车队中最古老的公交车,但也有明显的例外,一些较新的公交车排放的排放量也很高。我们将其归因于他们最近的服务历史,尤其是与引擎调整不当有关。我们建议有针对性的纠正计划将是减轻城市环境污染的有效措施。

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