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

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

Sci Total Environ

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.

Published: October 2020

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 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 was decreasing, O was generally increasing for all AQ stations. AQ data showed that O had little correlation with either NO or NO, but was mainly determined by NO/NO ratio. Roadside NO/NO ratio increased first and then decreased or stabilized after 2014, while ambient NO/NO 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 measured by roadside AQ stations, indicating that vehicle emissions were the major contributor to roadside NO pollution. Ambient NO emissions could be affected by various sources, leading to different correlation levels between RS and ambient AQ results.

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Source
http://dx.doi.org/10.1016/j.scitotenv.2020.139868DOI Listing

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