Gaseous and Particle Emission Factors from the Selected On-Road Petrol/Gasoline, Diesel, and Liquefied Petroleum Gas Vehicles

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• 作者：T. L. Chan ; Z. Ning ; J. S. Wang ; C. S. Cheung ; C. W. Leung ; W. T. Hung
• 刊名：Energy & Fuels
• 出版年：2007
• 出版时间：September 2007
• 年：2007
• 卷：21
• 期：5
• 页码：2710 - 2718
• 全文大小：149K
• 年卷期：v.21,no.5(September 2007)
• ISSN：1520-5029

文摘

Motor vehicle emissions have been identified as the major source of air pollution in most urban cities. Theyhave a serious impact on our urban air quality and public health. In the present study, the vehicle exhaustgaseous and particle emissions from different fuel types of on-road representative vehicles including petrol/gasoline, diesel, and liquefied petroleum gas vehicles for urban driving conditions ranging from 10 to 70 kmh^-1 were investigated using the chassis dynamometer and remote sensing testing systems. Both testing systemshave been widely used for dirty screening/clean screening credit utility programs, and for inspection andmaintenance programs. The measured vehicle exhaust emission concentrations from both testing systems werefurther calculated into the average gaseous and particle (i.e., PM_0.1, PM_2.5, and PM₁₀) emission factors (EFs)in milligrams or grams per kilometer for different urban driving conditions. The results show that the differentfuel types of the selected on-road vehicles and their driving conditions have a direct effect on the characterizationof vehicle exhaust gaseous and particle emission factors. The correlation equations of the calculated averagevehicle emission factors of different size fractionated exhaust particles and hydrocarbons (HCs) in milligramsor grams per kilometer with a good regression coefficient, R², value from different fuel types of on-roadrepresentative vehicles were also established. It is demonstrated clearly that the correlation between EF_PM andEF_HC is highly sensitive to the different fuel types, engine cylinder sizes and rated powers, and aftertreatmentemission control and maintenance conditions of the selected on-road vehicles. The results of the present studycan be used for predicting the gaseous and particle pollutants dispersion from on-road vehicles in urban roadwayenvironments.