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

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

doi:https://doi.org/10.5194/acp-21-14089-2021

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

Data sets

MAPM Campaign PM Data Ethan Dale, Stefanie Kremser, Jordis Tradowsky, Greg Bodeker, Leroy Bird, Gustavo Olivares, Guy Coulson, Elizabeth Somervell, Woodrow Pattinson, Jonathan Barte, and Jan-Niklas Schmidt https://doi.org/10.5281/zenodo.4023693

New Zealand's National Climate Database NIWA https://cliflo.niwa.co.nz/

Short summary

The MAPM project showcases a method to improve estimates of PM_2.5 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.