Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 13
Articles | Volume 22, issue 13
https://doi.org/10.5194/acp-22-8617-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-8617-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 13
Research article
 | 
05 Jul 2022
Research article |  | 05 Jul 2022

Improving NOx emission estimates in Beijing using network observations and a perturbed emissions ensemble

Le Yuan, Olalekan A. M. Popoola, Christina Hood, David Carruthers, Roderic L. Jones, Haitong Zhe Sun, Huan Liu, Qiang Zhang, and Alexander T. Archibald

Viewed

Total article views: 3,079 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,304 715 60 3,079 292 58 84
  • HTML: 2,304
  • PDF: 715
  • XML: 60
  • Total: 3,079
  • Supplement: 292
  • BibTeX: 58
  • EndNote: 84
Views and downloads (calculated since 09 Mar 2022)
Cumulative views and downloads (calculated since 09 Mar 2022)

Viewed (geographical distribution)

Total article views: 3,079 (including HTML, PDF, and XML) Thereof 3,079 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Jul 2025
Download
Short summary
Emission estimates represent a major source of uncertainty in air quality modelling. We developed a novel approach to improve emission estimates from existing inventories using air quality models and routine in situ observations. Using this approach, we derived improved estimates of NOx emissions from the transport sector in Beijing in 2016. This approach has great potential in deriving timely updates of emissions for other pollutants, particularly in regions undergoing rapid emission changes.
Read more
Share
Altmetrics
Final-revised paper
Preprint