Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 21, issue 18
Articles | Volume 21, issue 18
https://doi.org/10.5194/acp-21-14089-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-14089-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 18
Research article
 | 
23 Sep 2021
Research article |  | 23 Sep 2021

The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: description and demonstration of capability

Brian Nathan, Stefanie Kremser, Sara Mikaloff-Fletcher, Greg Bodeker, Leroy Bird, Ethan Dale, Dongqi Lin, Gustavo Olivares, and Elizabeth Somervell

Viewed

Total article views: 3,784 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,842 880 62 3,784 58 86
  • HTML: 2,842
  • PDF: 880
  • XML: 62
  • Total: 3,784
  • BibTeX: 58
  • EndNote: 86
Views and downloads (calculated since 27 Jan 2021)
Cumulative views and downloads (calculated since 27 Jan 2021)

Viewed (geographical distribution)

Total article views: 3,784 (including HTML, PDF, and XML) Thereof 3,784 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Nov 2025
Download
Short summary
The MAPM project showcases a method to improve estimates of PM2.5 emissions through an advanced statistical technique that is still new to the aerosol community. Using Christchurch, NZ, as a test bed, measurements from a field campaign in winter 2019 are incorporated into this new approach. An overestimation from local inventory estimates is identified. This technique may be exported to other urban areas in need.
Read more
Share
Altmetrics
Final-revised paper
Preprint