Articles | Volume 21, issue 22
Research article
23 Nov 2021
Research article |  | 23 Nov 2021

Hyperfine-resolution mapping of on-road vehicle emissions with comprehensive traffic monitoring and an intelligent transportation system

Linhui Jiang, Yan Xia, Lu Wang, Xue Chen, Jianjie Ye, Tangyan Hou, Liqiang Wang, Yibo Zhang, Mengying Li, Zhen Li, Zhe Song, Yaping Jiang, Weiping Liu, Pengfei Li, Daniel Rosenfeld, John H. Seinfeld, and Shaocai Yu


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-533', Shunxiang Huang, 30 Aug 2021
    • AC1: 'Reply on RC1', Shaocai Yu, 14 Sep 2021
      • AC3: 'Reply on AC1', Shaocai Yu, 14 Sep 2021
  • RC2: 'Comment on acp-2021-533', Anonymous Referee #2, 02 Sep 2021
    • AC2: 'Reply on RC2', Shaocai Yu, 14 Sep 2021
      • AC4: 'Reply on AC2', Shaocai Yu, 14 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Shaocai Yu on behalf of the Authors (29 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (08 Oct 2021) by Sunling Gong
Short summary
This paper establishes a bottom-up approach to reveal a unique pattern of urban on-road vehicle emissions at a spatial resolution 1–3 orders of magnitude higher than current inventories. The results show that the hourly average on-road vehicle emissions of CO, NOx, HC, and PM2.5 are 74 kg, 40 kg, 8 kg, and 2 kg, respectively. Integrating our traffic-monitoring-based approach with urban measurements, we could address major data gaps between urban air pollutant emissions and concentrations.
Final-revised paper