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A remote sensing emissions monitoring programme reduces emissions of gasoline and LPG vehicles.
Organ, Bruce; Huang, Yuhan; Zhou, John L; Surawski, Nic C; Yam, Yat-Shing; Mok, Wai-Chun; Hong, Guang.
Affiliation
  • Organ B; 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.
  • Huang Y; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
  • Zhou JL; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia. Electronic address: Junliang.Zhou@uts.edu.au.
  • Surawski NC; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
  • Yam YS; Environmental Protection Department, The Government of the Hong Kong Special Administrative Region, Hong Kong.
  • Mok WC; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
  • Hong G; School of Mechanical and Mechatronic Engineering, University of Technology Sydney, NSW 2007, Australia.
Environ Res ; 177: 108614, 2019 10.
Article in En | MEDLINE | ID: mdl-31394302
ABSTRACT
Vehicle emissions are a major source of air pollution in Hong Kong affecting human health. A 'strengthened emissions control of gasoline and liquefied petroleum gas (LPG) vehicles' programme has been operating in Hong Kong since September 2014 utilising remote sensing (RS) technology. RS has provided measurement data to successfully identify high emitting gasoline and LPG vehicles which then need to be repaired or removed from the on-road vehicle fleet. This paper aims to evaluate the effectiveness of this globally unique RS monitoring programme. A large RS dataset of 2,144,422 records was obtained covering the period from 6th January 2012 to 30th December 2016, of which 1,206,762 records were valid and suitable for further investigation. The results show that there have been significant reductions of emissions factors (EF) for 40.5% HC, 45.3% CO and 29.6% NO for gasoline vehicles. Additionally, EF reductions of 48.4% HC, 41.1% CO and 58.7% NO were achieved for LPG vehicles. For the combined vehicle fleet, the reductions for HC, CO and NO were 55.9%, 50.5% and 60.9% respectively during this survey period. The findings demonstrate that the strengthened emissions control programme utilising RS has been very effective in identifying high emitting vehicles for repair so as to reduce the emissions from gasoline and LPG vehicles under real driving.
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Full text: 1 Database: MEDLINE Main subject: Vehicle Emissions / Environmental Monitoring / Air Pollutants / Remote Sensing Technology Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Year: 2019 Type: Article

Full text: 1 Database: MEDLINE Main subject: Vehicle Emissions / Environmental Monitoring / Air Pollutants / Remote Sensing Technology Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Year: 2019 Type: Article