Articles | Volume 21, issue 22
Research article
23 Nov 2021
Research article |  | 23 Nov 2021

Hyperfine-resolution mapping of on-road vehicle emissions with comprehensive traffic monitoring and an intelligent transportation system

Linhui Jiang, Yan Xia, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, and Shaocai Yu

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Cited articles

Anenberg, S. C., Miller, J., Minjares, R., Du, L., Henze, D. K., Lacey, F., Malley, C. S., Emberson, L., Franco, V., Klimont, Z., and Heyes, C.: Impacts and mitigation of excess diesel-related NOx emissions in 11 major vehicle markets, Nature, 545, 467–471,, 2017. 
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Bartko, J. J.: The Intraclass Correlation Coefficient as a Measure of Reliability, Psychol. Rep., 19, 3–11,, 1966. 
Chen, J., Li, W., Zhang, H., Jiang, W., Li, W., Sui, Y., Song, X., and Shibasaki, R.: Mining urban sustainable performance: GPS data-based spatio-temporal analysis on on-road braking emission, J. Clean. Prod., 270, 122489,, 2020. 
Short summary
This paper establishes a bottom-up approach to reveal a unique pattern of urban on-road vehicle emissions at a spatial resolution 1–3 orders of magnitude higher than current inventories. The results show that the hourly average on-road vehicle emissions of CO, NOx, HC, and PM2.5 are 74 kg, 40 kg, 8 kg, and 2 kg, respectively. Integrating our traffic-monitoring-based approach with urban measurements, we could address major data gaps between urban air pollutant emissions and concentrations.
Final-revised paper