There is a newer version of the record available.

Published October 2019 | Version v1
Journal article

A remote sensing emissions monitoring programme reduces emissions of gasoline and LPG vehicles

  • 1. Jockey Club Heavy Vehicle Emissions Testing and Research Centre, Vocational Training Council (Hong Kong)
  • 2. Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007 (Australia)
  • 3. Environmental Protection Department, The Government of the Hong Kong Special Administrative Region (Hong Kong)
  • 4. School of Mechanical and Mechatronic Engineering, University of Technology Sydney, NSW 2007 (Australia)

Description

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.

Additional details

Identifiers

DOI
10.1016/j.envres.2019.108614;
PII
S0013935119304116;

Publishing Information

Journal Title
Environmental Research
Journal Volume
177
Journal Page Range
vp.
ISSN
0013-9351
CODEN
ENVRAL

Optional Information

Copyright
Copyright (c) 2019 Elsevier Inc. All rights reserved.