Articles | Volume 13, issue 1
Geosci. Model Dev., 13, 23–40, 2020

Special issue: Air Quality Research at Street-Level (ACP/GMD inter-journal...

Geosci. Model Dev., 13, 23–40, 2020

Model description paper 03 Jan 2020

Model description paper | 03 Jan 2020

Development of the Real-time On-road Emission (ROE v1.0) model for street-scale air quality modeling based on dynamic traffic big data

Luolin Wu et al.

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Revised manuscript accepted for GMD
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Cited articles

An, X., Hou, Q., Li, N., and Zhai, S.: Assessment of human exposure level to PM10 in China, Atmos. Environ., 70, 376–386,, 2013. 
Ashie, Y. and Kono, T.: Urban-scale CFD analysis in support of a climate-sensitive design for the Tokyo Bay area, Int. J. Climatol., 31, 174–188,, 2011. 
Britter, R. E. and Hanna, S. R.: Flow and dispersion in urban areas, Annu. Rev. Fluid Mech., 35, 469–496,, 2003. 
Cai, H. and Xie, S. D.: Estimation of vehicular emission inventories in China from 1980 to 2005, Atmos. Environ., 41, 8963–8979,, 2007. 
Che, W., Zheng, J., Wang, S., Zhong, L., and Lau, A.: Assessment of motor vehicle emission control policies using Model-3/CMAQ model for the Pearl River Delta region, China, Atmos. Environ., 45, 1740–1751,, 2011. 
Short summary
We developed the Real-time On-road Emission (ROE v1.0) model to obtain the street-scale on-road hot emissions by using real-time big data for traffic provided by the Gaode Map navigation application. The results are close to other emission inventories. Meanwhile, we applied our results to a street-level air quality model for studying the impact of the national holiday traffic volume change on air quality. The model can be further extended to more districts in China or other countries.