Literature DB >> 29482019

Emission measurement of diesel vehicles in Hong Kong through on-road remote sensing: Performance review and identification of high-emitters.

Yuhan Huang1, Bruce Organ2, John L Zhou3, Nic C Surawski1, Guang Hong4, Edward F C Chan5, Yat Shing Yam6.   

Abstract

A two-year remote sensing measurement program was carried out in Hong Kong to obtain a large dataset of on-road diesel vehicle emissions. Analysis was performed to evaluate the effect of vehicle manufacture year (1949-2015) and engine size (0.4-20 L) on the emission rates and high-emitters. The results showed that CO emission rates of larger engine size vehicles were higher than those of small vehicles during the study period, while HC and NO were higher before manufacture year 2006 and then became similar levels between manufacture years 2006 and 2015. CO, HC and NO of all vehicles showed an unexpectedly increasing trend during 1998-2004, in particular ≥6001 cc vehicles. However, they all decreased steadily in the last decade (2005-2015), except for NO of ≥6001 cc vehicles during 2013-2015. The distributions of CO and HC emission rates were highly skewed as the dirtiest 10% vehicles emitted much higher emissions than all the other vehicles. Moreover, this skewness became more significant for larger engine size or newer vehicles. The results indicated that remote sensing technology would be very effective to screen the CO and HC high-emitters and thus control the on-road vehicle emissions, but less effective for controlling NO emissions. No clear correlation was observed between the manufacture year and percentage of high-emitters for ≤3000 cc vehicles. However, the percentage of high-emitters decreased with newer manufacture year for larger vehicles. In addition, high-emitters of different pollutants were relatively independent, in particular NO emissions, indicating that high-emitter screening criteria should be defined on a CO-or-HC-or-NO basis, rather than a CO-and-HC-and-NO basis.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diesel vehicles; Engine size; High-emitters; On-road remote sensing; Real-world emissions

Mesh:

Substances:

Year:  2018        PMID: 29482019     DOI: 10.1016/j.envpol.2018.02.043

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  2 in total

1.  Comparing the Use of High- to Low-Cost Black Carbon and Carbon Dioxide Sensors for Characterizing On-Road Diesel Truck Emissions.

Authors:  Rebecca A Sugrue; Chelsea V Preble; Thomas W Kirchstetter
Journal:  Sensors (Basel)       Date:  2020-11-24       Impact factor: 3.576

2.  A Comprehensive 2018-Based Vehicle Emission Inventory and Its Spatial-Temporal Characteristics in the Central Liaoning Urban Agglomeration, China.

Authors:  Yingying Liu; Xueyan Zhao; Jing Wang; Shengnan Zhu; Bin Han; Di Zhao; Xinhua Wang; Chunmei Geng
Journal:  Int J Environ Res Public Health       Date:  2022-02-11       Impact factor: 3.390

  2 in total

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