Study of Mobile Source Pollutants Based on Multi-Source Data Fusion: A Case Study of Zibo City, China

Chunyan Zheng, Ruiyuan Liu, Shuai Zhang, Jiaojiao Li, Pengcheng Ma, Dong Guo (), Ronghan Yao, Cong Guo, Jianlong Li and Yongjia Sui
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Chunyan Zheng: School of Management, Shandong University of Technology, Zibo 255000, China
Ruiyuan Liu: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China
Shuai Zhang: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China
Jiaojiao Li: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China
Pengcheng Ma: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China
Dong Guo: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China
Ronghan Yao: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China
Cong Guo: Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
Jianlong Li: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China
Yongjia Sui: School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China

Sustainability, 2023, vol. 15, issue 11, 1-17

Abstract: The primary pollutants emitted from mobile sources have become one of the main sources of urban air pollution. In this study, the primary pollutants CO, HC, NOx and PM from mobile sources in Zibo city, China are studied. Firstly, the localized mobile-source pollutant emission factors are corrected using vehicle emission experiments; secondly, multi-source data fusion is performed using road network data, road traffic data, air quality and meteorological data; then, the corrected pollutant emission factors and multi-source data are used to construct a localized emission measurement model and dispersion simulation model, visualize the emission distribution and propose residual concentration correction to accurately obtain the pollutant sharing rate. The results show that the pollutant emission trends are highly coupled with the distribution of urban residents’ working hours. Based on the localized dispersion model used to analyze the pollutant traceability at air monitoring stations, the emission sharing rate of NOx is the largest, and according to the analysis of the changing trend of mobile-source emission sharing rate, the mobile source pollutants in Zibo are mainly influenced by pollutant emissions from road motor vehicles. This study provides data support and a theoretical basis for the management of the transportation industry to carry out exhaust gas control of motor vehicles and non-road mobile machinery and to make decisions related to improving the air environment (delineating the scope of low emission zones).

Keywords: multi-source data; mobile sources; pollutants; emission measurement; emission traceability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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