Literature DB >> 32559527

Evaluating in-use vehicle emissions using air quality monitoring stations and on-road remote sensing systems.

Yuhan Huang1, Wai-Chuen Mok2, Yat-Shing Yam3, John L Zhou4, Nic C Surawski2, Bruce Organ5, Edward F C Chan6, M Mofijur7, Teuku Meurah Indra Mahlia7, Hwai Chyuan Ong7.   

Abstract

This study investigated real world in-use vehicle emissions using two regulatory techniques simultaneously, namely on-road remote sensing (RS) systems and air quality (AQ) monitoring stations, aiming to provide a full pollution profile from tailpipe to roadside and atmosphere. Two large AQ and RS datasets collected during 2012-2018 were analyzed. The effects of various emission control programmes on the trends of tailpipe emissions and air quality were evaluated. Correlations between tailpipe emissions and roadside and ambient air quality were also explored. The results showed a decreasing trend of NO2 at both roadside and ambient AQ stations from 2013 to 2016, which was attributed to the intensive implementation of a series of vehicle emissions control programmes. Although NO2 was decreasing, O3 was generally increasing for all AQ stations. AQ data showed that O3 had little correlation with either NO2 or NOx, but was mainly determined by NO2/NOx ratio. Roadside NO2/NOx ratio increased first and then decreased or stabilized after 2014, while ambient NO2/NOx ratio increased steadily. RS data showed that the overall NO decreased quickly during 2012-2015 and then decreased moderately after 2015. The decrease was mainly attributed to the effective NO reduction from LPG vehicles. However, diesel NO remained high and reduced relatively slowly during the study period. Gasoline vehicles were relatively clean compared with LPG and diesel vehicles. Finally, good correlations were demonstrated between NO measured by RS sites and NOx measured by roadside AQ stations, indicating that vehicle emissions were the major contributor to roadside NOx pollution. Ambient NOx emissions could be affected by various sources, leading to different correlation levels between RS and ambient AQ results.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Air pollution; Real driving emissions; Remote sensing; Tailpipe, roadside and ambient; Vehicle emission control programmes

Year:  2020        PMID: 32559527     DOI: 10.1016/j.scitotenv.2020.139868

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Emission Variations of Primary Air Pollutants from Highway Vehicles and Implications during the COVID-19 Pandemic in Beijing, China.

Authors:  Xizi Cao; Ye Tian; Yan Shen; Tongran Wu; Renfei Li; Xinyu Liu; Amanzheli Yeerken; Yangyang Cui; Yifeng Xue; Aiping Lian
Journal:  Int J Environ Res Public Health       Date:  2021-04-12       Impact factor: 3.390

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

Authors:  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
Journal:  Sci Adv       Date:  2022-02-02       Impact factor: 14.136

  2 in total

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