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

• Published in: Atmospheric environment (1994) Vol. 38; no. 14; pp. 2055 - 2066
• Main Authors: Chan, T.L., Ning, Z., Leung, C.W., Cheung, C.S., Hung, W.T., Dong, G.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.05.2004; Elsevier Science
• Subjects: Applied sciences; Atmospheric pollution; Emission factors; Exact sciences and technology; On-road vehicle emissions; Pollution; Pollution sources. Measurement results; Regression analysis; Remote sensing measurement technique; Transports; Hong Kong; Asia; China; China, People's Rep., Hong Kong; Emission factors; Remote sensing measurement technique; Regression analysis; On-road vehicle emissions; Hydrocarbon; Troposphere; Motor vehicle; Urban area; Pollutant emission; Remote sensing; Correlation analysis; Nitric oxide; Emission standard; Air pollution; Exhaust gas; Road traffic; Carbon monoxide; Emission measure; Organic compounds
• ISSN: 1352-2310; 1873-2844
• DOI: 10.1016/j.atmosenv.2004.01.031

In the present study, the real world on-road petrol 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 petrol vehicle emission data was also used to estimate the on-road petrol 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 petrol vehicle model years, engine sizes and driving patterns have a strong correlation on their emission factors. A comparison of average petrol vehicle emission factors in different engine sizes and European vehicle emission standards was also presented. The deviation of the average emission factors of aggregate petrol vehicle reflects on 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 petrol vehicle emission factors on different model years and engine sizes for urban driving patterns in Hong Kong was established.