An Experimental Framework of Particulate Matter Emission Factor Development for Traffic Modeling
To estimate traffic facility-oriented particulate matter (PM) emissions, emission factors are both necessary and critical for traffic planners and the community of traffic professionals. This study used locally calibrated laser-scattering sensors to collect PM emission concentrations in a tunnel. Em...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-04-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/14/4/706 |
| _version_ | 1827745872459333632 |
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| author | Sicong Zhu Yongdi Qiao Wenjie Peng Qi Zhao Zhen Li Xiaoting Liu Hao Wang Guohua Song Lei Yu Lei Shi Qing Lan |
| author_facet | Sicong Zhu Yongdi Qiao Wenjie Peng Qi Zhao Zhen Li Xiaoting Liu Hao Wang Guohua Song Lei Yu Lei Shi Qing Lan |
| author_sort | Sicong Zhu |
| collection | DOAJ |
| description | To estimate traffic facility-oriented particulate matter (PM) emissions, emission factors are both necessary and critical for traffic planners and the community of traffic professionals. This study used locally calibrated laser-scattering sensors to collect PM emission concentrations in a tunnel. Emission factors of both light-duty and heavy-duty vehicles were found to be higher in autumn compared to summer. Based on this study’s data analysis, PM emissions, in terms of mass, have a strong seasonal effect. The study also conducted a PM composition test on normal days and during haze events. Preliminary results suggested that the transformation of gaseous tailpipe emissions to PM is significant within the tunnel during a haze event. This study, therefore, recommends locally calibrated portable devices to monitor mobile-source traffic emissions. The study suggests that emission factor estimation of traffic modeling packages should consider the dynamic PM formation mechanism. The study also presents traffic policy implications regarding PM emission control. |
| first_indexed | 2024-03-11T05:14:36Z |
| format | Article |
| id | doaj.art-00e691a06a294aa0a19adf13e2e471f5 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-11T05:14:36Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-00e691a06a294aa0a19adf13e2e471f52023-11-17T18:17:37ZengMDPI AGAtmosphere2073-44332023-04-0114470610.3390/atmos14040706An Experimental Framework of Particulate Matter Emission Factor Development for Traffic ModelingSicong Zhu0Yongdi Qiao1Wenjie Peng2Qi Zhao3Zhen Li4Xiaoting Liu5Hao Wang6Guohua Song7Lei Yu8Lei Shi9Qing Lan10Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Haidian District, Beijing 100044, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Haidian District, Beijing 100044, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Haidian District, Beijing 100044, ChinaThe Department of Traffic Information and Control Engineering, North China University of Technology, No. 5, Jinyuanzhuang Road, Shijingshan District, Beijing 100144, ChinaCollege of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, ChinaDepartment of Ophthalmology, The First Affiliated Hospital, Jinan University, Guangzhou 510632, ChinaInstitute for Environmental and Climate Research, Jinan University, Guangzhou 511443, ChinaKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Haidian District, Beijing 100044, ChinaSchool of Transportation and Logistics Engineering, Shandong Jiaotong University, No. 5001 Haitang Road, Changqing District, Jinan 250357, ChinaHebei Expressway Group Limited, No. 136, Yellow River Avenue, Gaoxin District, Shijiazhung 050031, ChinaHebei Higher Institute of Transportation Infrastructure Research, Development Center for Digital and Intelligent Technology Application, Cangzhou 061001, ChinaTo estimate traffic facility-oriented particulate matter (PM) emissions, emission factors are both necessary and critical for traffic planners and the community of traffic professionals. This study used locally calibrated laser-scattering sensors to collect PM emission concentrations in a tunnel. Emission factors of both light-duty and heavy-duty vehicles were found to be higher in autumn compared to summer. Based on this study’s data analysis, PM emissions, in terms of mass, have a strong seasonal effect. The study also conducted a PM composition test on normal days and during haze events. Preliminary results suggested that the transformation of gaseous tailpipe emissions to PM is significant within the tunnel during a haze event. This study, therefore, recommends locally calibrated portable devices to monitor mobile-source traffic emissions. The study suggests that emission factor estimation of traffic modeling packages should consider the dynamic PM formation mechanism. The study also presents traffic policy implications regarding PM emission control.https://www.mdpi.com/2073-4433/14/4/706PMemission factorhaze eventcomposition |
| spellingShingle | Sicong Zhu Yongdi Qiao Wenjie Peng Qi Zhao Zhen Li Xiaoting Liu Hao Wang Guohua Song Lei Yu Lei Shi Qing Lan An Experimental Framework of Particulate Matter Emission Factor Development for Traffic Modeling Atmosphere PM emission factor haze event composition |
| title | An Experimental Framework of Particulate Matter Emission Factor Development for Traffic Modeling |
| title_full | An Experimental Framework of Particulate Matter Emission Factor Development for Traffic Modeling |
| title_fullStr | An Experimental Framework of Particulate Matter Emission Factor Development for Traffic Modeling |
| title_full_unstemmed | An Experimental Framework of Particulate Matter Emission Factor Development for Traffic Modeling |
| title_short | An Experimental Framework of Particulate Matter Emission Factor Development for Traffic Modeling |
| title_sort | experimental framework of particulate matter emission factor development for traffic modeling |
| topic | PM emission factor haze event composition |
| url | https://www.mdpi.com/2073-4433/14/4/706 |
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