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.
Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
Environ Res. 2019 Oct;177:108614. doi: 10.1016/j.envres.2019.108614. Epub 2019 Jul 27.
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.
车辆排放是香港空气污染的主要来源，影响着人类健康。自 2014 年 9 月以来，香港一直在实施一项“加强控制汽油和液化石油气（LPG）车辆排放”计划，该计划利用遥感（RS）技术。RS 提供了测量数据，成功识别出高排放的汽油和 LPG 车辆，然后需要对这些车辆进行维修或从道路车辆车队中淘汰。本文旨在评估这一全球独特的 RS 监测计划的有效性。获得了一个包含 2144422 条记录的大型 RS 数据集，涵盖了 2012 年 1 月 6 日至 2016 年 12 月 30 日期间的数据，其中 1206762 条记录有效，适合进一步调查。结果表明，汽油车的排放因子（EF）有显著降低，其中 40.5%的 HC、45.3%的 CO 和 29.6%的 NO 排放降低。此外，LPG 车的 HC、CO 和 NO 的 EF 降低率分别为 48.4%、41.1%和 58.7%。在这段调查期间，对于组合车辆车队，HC、CO 和 NO 的降低率分别为 55.9%、50.5%和 60.9%。研究结果表明，利用 RS 实施的强化排放控制计划在识别需要维修的高排放车辆方面非常有效，从而减少了实际行驶中汽油和 LPG 车辆的排放。
