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Worldwide On-Road Vehicle Exhaust Emissions Study by Remote Sensing

机译：全球道路车辆废气排放遥感研究

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摘要

The remote sensing technology developed by the University of Denver provides the first practical approach to routinely characterize real-world, on-road automobile CO and HC exhaust emissions. It has been used to measure the exhaust emissions of more than 1 000 000 vehicles in many locations. This study presents an analysis and comparison of 22 fleet profiles collected by the remote sensor in different regions around the world. Three patterns of emissions distributions and contributions of the fleets are revealed by a hierarchial cluster analysis. The importance of vehicle maintenance on average CO and HC emissions is revealed by a quintile analysis. Good maintenance practices in Gothenburg, Sweden, contrast with other locations such as Los Angeles, CA, and Melbourne, Australia. The absolute emissions differences between well- and badly maintained vehicles of any age are considerably larger than observable effects of emission control technology and vehicle age.
机译：丹佛大学开发的遥感技术提供了第一种实用的方法，可以常规地表征现实世界中，公路上汽车的CO和HC废气排放。它已被用于测量许多地方超过100万辆汽车的废气排放。这项研究提出了对全球不同地区的遥感器收集的22个车队资料的分析和比较。通过层次聚类分析揭示了车队的排放分布和贡献的三种模式。五分位数分析揭示了车辆维护对平均CO和HC排放的重要性。瑞典哥德堡的良好维护规范与加利福尼亚州洛杉矶和澳大利亚墨尔本等其他地区形成对比。在任何年龄段维护良好和维护不良的车辆之间，绝对排放差异远远大于排放控制技术和车辆寿命的可观察效果。

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