Articles | Volume 19, issue 13
Atmos. Chem. Phys., 19, 8831–8843, 2019
https://doi.org/10.5194/acp-19-8831-2019
Atmos. Chem. Phys., 19, 8831–8843, 2019
https://doi.org/10.5194/acp-19-8831-2019

Research article 11 Jul 2019

Research article | 11 Jul 2019

High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets

Daoyuan Yang et al.

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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 Ye Wu on behalf of the Authors (19 Apr 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (02 May 2019) by Chul Han Song
RR by Anonymous Referee #2 (08 May 2019)
RR by Anonymous Referee #1 (15 May 2019)
ED: Publish subject to minor revisions (review by editor) (22 May 2019) by Chul Han Song
AR by Ye Wu on behalf of the Authors (04 Jun 2019)  Author's response    Manuscript
ED: Publish as is (13 Jun 2019) by Chul Han Song
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Short summary
Our work developed a high-resolution emission inventory (EMBEV-Link) with extensive traffic data covering the entire city of Beijing, which mapped the heterogeneity of road emissions associated with traffic dynamics. Nonlocal trucks accounted for substantial emissions (e.g., ~ 30 % of NOx), though they are missing in previous inventories. EMBEV-Link can support fine-grained dispersion modeling (e.g., 1 m × 1 m at hotspots) and mitigate the uncertainty in top-down emission mapping.
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