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

Yuhan Huang; Casey K. C. Lee; Yat-Shing Yam; Wai-Chuen Mok; John L. Zhou; Yuan Zhuang; Nic C. Surawski; Bruce Organ; Edward F. C. Chan

doi:10.1126/sciadv.abl7575

journal article Feb 04, 2022

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

Yuhan Huang

Casey K. C. Lee Yat-Shing Yam

Edward F. C. Chan

Science Advances Vol. 8 No. 5 · American Association for the Advancement of Science (AAAS)

View at Publisher Save 10.1126/sciadv.abl7575

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.

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References

Details

Published: Feb 04, 2022
Vol/Issue: 8(5)

Authors

Y

Yuhan Huang

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

C

Casey K. C. Lee

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

Y

Yat-Shing Yam

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

W

Wai-Chuen Mok

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

J

John L. Zhou

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

Y

Yuan Zhuang

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

N

Nic C. Surawski

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

B

Bruce Organ

Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.; Jockey Club Heavy Vehicle Emissions Testing and Research Centre, Vocational Training Council, Hong Kong, China.

E

Edward F. C. Chan

Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.; Faculty of Science and Technology, Technological and Higher Education Institute of Hong Kong, Hong Kong, China.

Cite This Article

Yuhan Huang, Casey K. C. Lee, Yat-Shing Yam, et al. (2022). Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality. Science Advances, 8(5). https://doi.org/10.1126/sciadv.abl7575

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

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