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

Autor: Huang Y; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia. Electronic address: yuhan.huang@uts.edu.au., Mok WC; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia., Yam YS; Environmental Protection Department, Hong Kong Special Administrative Region Government, Hong Kong, China., 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., 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, China., Chan EFC; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia; Faculty of Science and Technology, Technological and Higher Education Institute of Hong Kong, Hong Kong, China., Mofijur M; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia; School of Information, Systems and Modelling, University of Technology Sydney, NSW 2007, Australia., Mahlia TMI; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia; School of Information, Systems and Modelling, University of Technology Sydney, NSW 2007, Australia., Ong HC; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia; School of Information, Systems and Modelling, University of Technology Sydney, NSW 2007, Australia.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2020 Oct 20; Vol. 740, pp. 139868. Date of Electronic Publication: 2020 Jun 13.
DOI: 10.1016/j.scitotenv.2020.139868
Abstrakt: 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 NO 2 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 NO 2 was decreasing, O 3 was generally increasing for all AQ stations. AQ data showed that O 3 had little correlation with either NO 2 or NO x , but was mainly determined by NO 2 /NO x ratio. Roadside NO 2 /NO x ratio increased first and then decreased or stabilized after 2014, while ambient NO 2 /NO x 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 NO x measured by roadside AQ stations, indicating that vehicle emissions were the major contributor to roadside NO x pollution. Ambient NO x emissions could be affected by various sources, leading to different correlation levels between RS and ambient AQ results.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2020 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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