Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality

Author:

Huang Yuhan1ORCID,Lee Casey K. C.2,Yam Yat-Shing2ORCID,Mok Wai-Chuen1ORCID,Zhou John L.1ORCID,Zhuang Yuan3,Surawski Nic C.1ORCID,Organ Bruce14ORCID,Chan Edward F. C.15

Affiliation:

1. Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.

2. Environmental Protection Department, Hong Kong Special Administrative Region Government, Hong Kong, China.

3. School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China.

4. Jockey Club Heavy Vehicle Emissions Testing and Research Centre, Vocational Training Council, Hong Kong, China.

5. Faculty of Science and Technology, Technological and Higher Education Institute of Hong Kong, Hong Kong, China.

Abstract

Vehicle emissions are the most important source of air pollution in the urban environment worldwide, and their detection and control are critical for protecting public health. Here, we report the use of on-road remote sensing (RS) technology for fast, accurate, and cost-effective identification of high-emitting vehicles as an enforcement program for improving urban air quality. Using large emission datasets from chassis dynamometer testing, RS, and air quality monitoring, we found that significant percentages of in-use petrol and LPG vehicles failed the emission standards, particularly the high-mileage fleets. The RS enforcement program greatly cleaned these fleets, in terms of high-emitter percentages, fleet average emissions, roadside and ambient pollutant concentrations, and emission inventory. The challenges of the current enforcement program are conservative setting of cut points, single-lane measurement sites, and lack of application experience in diesel vehicles. Developing more accurate and vertical RS systems will improve and extend their applications.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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