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 1: Development and evaluation of vehicle emission inventory

Jing, Boyu; Wu, Lin; Mao, Hongjun; Gong, Sunning; He, Jianjun; Zou, Chao; Song, Guohua; Li, Xiaoyu; Wu, Zhong

doi:https://doi.org/10.5194/acp-16-3161-2016

Articles | Volume 16, issue 5

https://doi.org/10.5194/acp-16-3161-2016

© 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-16-3161-2016

© 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 1: Development and evaluation of vehicle emission inventory

Boyu Jing, Lin Wu, Hongjun Mao, Sunning Gong, Jianjun He, Chao Zou, Guohua Song, Xiaoyu Li, and Zhong Wu

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Final revised paper (published on 10 Mar 2016)
Preprint (discussion started on 05 Oct 2015)
Companion paper

Interactive discussion

Status: closed

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

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RC C8524: 'Comment', Anonymous Referee #1, 26 Oct 2015
- AC C11423: 'Response for Referee 1', jing boyu, 12 Jan 2016
RC C8822: 'Discussion for', Anonymous Referee #3, 02 Nov 2015
- AC C11425: 'Response for Referee 3', jing boyu, 12 Jan 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by jing boyu on behalf of the Authors (22 Jan 2016) Author's response Manuscript

ED: Publish as is (13 Feb 2016) by Xiao-Ye ZHANG

AR by jing boyu on behalf of the Authors (15 Feb 2016)

Short summary

This paper presents a bottom-up methodology based on the local emission factors, complemented with the widely used emission factors of COPERT model and near-real-time (NRT) traffic data on road segments to develop a high temporal/spatial resolution vehicle emission inventory (HTSVE) for the urban Beijing area. The results show that the vehicle emissions of NO_x, CO, HC and PM were 10.54 × 10⁴, 42.51 × 10⁴ and 2.13 × 10⁴ and 0.41 × 10⁴ Mg respectively.