On-road remote sensing of diesel vehicle emissions measurement and emission factors estimation in Hong Kong

被引：52
|
作者：
Chan, TL [1 ]
Ning, Z [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Mech Engn, Res Ctr Combust & Pollul Control, Kowloon, Hong Kong, Peoples R China
来源：
ATMOSPHERIC ENVIRONMENT | 2005年 / 39卷 / 36期
关键词：
on-road vehicle emissions; remote sensing measurement technique; emission factors; regression analysis;
D O I：
10.1016/j.atmosenv.2005.07.048
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In the present study, the real world on-road diesel vehicle emissions of carbon monoxide (CO), hydrocarbons (HC) and nitric oxide (NO) were investigated at nine sites in Hong Kong. A regression analysis approach based on the measured vehicle emission data was used to estimate the on-road diesel vehicle emission factors of CO, HC and NO with respect to the effects of instantaneous vehicle speed and acceleration/deceleration profiles for local urban driving patterns. The results show that the diesel vehicle model years, engine sizes, vehicle types and driving patterns have a strong correlation with their emission factors. A comparison was made between the average diesel and petrol vehicle emissions factors in Hong Kong. The deviation of the average emission factors of aggregate diesel vehicles reflects the variability of local road condition, vehicle traffic fleet and volume, driving pattern, fuel composition and ambient condition etc. Finally, a unique database of the correlation of diesel vehicle emission factors (i.e., g km(-1) and g l(-1)) on different model years and vehicle types for urban driving patterns in Hong Kong was established. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码：6843 / 6856
页数：14
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