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Statistical analysis of the vehicle pollutant emissions derived from several European road tunnel studies

机译:欧洲道路隧道研究得出的车辆污染物排放量的统计分析

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Real-world emission rates of road traffic Can be quantified by measurements in road tunnels. Emission factors (EFs) of in-use vehicles can be determined and the impact of major changes in technology and fuel composition can be estimated. Here, we present tunnel measurements of nitrogen oxides (NO,), carbon monoxide (CO), and total volatile organic compounds (t-VOCs) performed in spring 2001 in the Lundby tunnel (Sweden), in fall 2001 in the Plabutsch tunnel (Austria) and in fall 2002 in the Gubrist tunnel (Switzerland). In this paper, we derive EFs for light and heavy duty vehicles (LDVs and HDVs) by the statistical method of linear and non-linear regression analysis. The results demonstrate the large effect of the tunnel road gradient for NO, emissions of HDVs, whereas the influence of the road gradient is less pronounced for LDV emissions of NO, and CO. The developed statistical modeling approach allows the determination of EFs as a function of vehicle speed. The results also indicate a dependence of the EFs on the day of the week, probably caused by differences in the fleet composition. © 2005 Elsevier Ltd. All rights reserved.
机译:现实世界中道路交通的排放率可以通过对公路隧道的测量来量化。可以确定在用车辆的排放因子(EFs),并可以估算技术和燃料组成的重大变化的影响。在这里,我们介绍了2001年春季在瑞典伦德比隧道(2001年春季)和普拉布茨隧道(2001年秋季)中对氮氧化物(NO),一氧化碳(CO)和总挥发性有机化合物(t-VOCs)进行的隧道测量(奥地利),并于2002年秋季在古布里斯特隧道(瑞士)中使用。在本文中,我们通过线性和非线性回归分析的统计方法得出轻型和重型车辆(LDV和HDV)的电动势。结果表明,隧道道路坡度对NO,HDV排放具有很大的影响,而道路坡度对LDV排放的NO和CO的影响较小。发达的统计建模方法可以确定EFs作为函数车速。结果还表明,EF依赖于一周中的某天,这可能是由于机队组成的差异所致。 &复制; 2005 Elsevier Ltd.保留所有权利。

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