Articles | Volume 16, issue 5
Atmos. Chem. Phys., 16, 3171–3184, 2016
https://doi.org/10.5194/acp-16-3171-2016

Special issue: Haze-fog forecasts and near real time (NRT) data application...

Atmos. Chem. Phys., 16, 3171–3184, 2016
https://doi.org/10.5194/acp-16-3171-2016

Research article 10 Mar 2016

Research article | 10 Mar 2016

Development of a vehicle emission inventory with high temporal–spatial resolution based on NRT traffic data and its impact on air pollution in Beijing – Part 2: Impact of vehicle emission on urban air quality

Jianjun He et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jianjun He on behalf of the Authors (28 Nov 2015)  Author's response    Manuscript
ED: Publish as is (10 Dec 2015) by Sunling Gong
Short summary
Based on a vehicle emission inventory with high temporal–spatial resolution established by bottom-up methodology, this paper evaluates the performance of the CUACE model and investigates the vehicle emission contribution (VEC) to ambient NO2 and PM2.5 with an emission source sensitivity method. With good performance of pollutant concentrations, numerical simulation revealed that the mean VEC is 55.4 and 48.5 % for NO2 and 5.4 and 10.5 % for PM2.5 in July and December 2013 respectively.
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