Articles | Volume 13, issue 1
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, Ming Chang, Xuemei Wang, Jian Hang, Jinpu Zhang, Liqing Wu, and Min Shao


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (09 Jul 2019)  Author's response
ED: Publish subject to technical corrections (13 Aug 2019) by David Topping
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.