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

He, Jianjun; Wu, Lin; Mao, Hongjun; Liu, Hongli; Jing, Boyu; Yu, Ye; Ren, Peipei; Feng, Cheng; Liu, Xuehao

doi:https://doi.org/10.5194/acp-16-3171-2016

Articles | Volume 16, issue 5

https://doi.org/10.5194/acp-16-3171-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

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

https://doi.org/10.5194/acp-16-3171-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 5

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, Lin Wu, Hongjun Mao, Hongli Liu, Boyu Jing, Ye Yu, Peipei Ren, Cheng Feng, and Xuehao Liu

Download

Final revised paper (published on 10 Mar 2016)
Supplement to the final revised paper
Preprint (discussion started on 14 Jul 2015)
Companion paper

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC C6826: 'Atmospheric chemistry', Anonymous Referee #1, 14 Sep 2015
- AC C9783: 'Response to Referee 1', Jianjun He, 26 Nov 2015
RC C7559: 'referee2', Anonymous Referee #2, 04 Oct 2015
- AC C9803: 'Response to referee 2', Jianjun He, 26 Nov 2015

Peer-review completion

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

AR by Jianjun He on behalf of the Authors (14 Dec 2015)

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 PM_2.5 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 PM_2.5 in July and December 2013 respectively.