EGU2020-11611
https://doi.org/10.5194/egusphere-egu2020-11611
EGU General Assembly 2020
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Mapping Air Pollution eMissions (MAPM)

Stefanie Kremser1, Sara Mikaloff-Fletcher2, Brian Nathan2, Ethan Dale1, Jordis Tradowsky1, Leroy Bird1, Greg Bodeker1, Dongqi Lin3, Guy Coulson2, Marwan Katurji3, Gustavo Olivares2, Tim Mallett4, Laura Revell3, and Ian Longley2
Stefanie Kremser et al.
  • 1Bodeker Scientific, New Zealand
  • 2National Institute of Water & Atmospheric Research, New Zealand
  • 3University of Canterbury, New Zealand
  • 4Environment Canterbury, New Zealand

The growth of megacities from global urbanization has degraded urban air quality sufficient to impede economic growth and create a public health hazard. Emissions of particulate matter, photochemically reactive gases, and long-lived greenhouse gases, contribute to the urban environmental footprint with concomitant economic and social costs. Mitigation actions rely critically on knowing where these emissions occur. In response to this challenge, our team has developed a new method, MAPM (Mapping Air Pollution eMissions), to generate near real-time surface emissions maps of particulate matter pollution. Surface particulate matter (PM 2.5) emission maps will be derived from atmospheric measurements of particulate matter using an inverse model in conjunction with a state-of-the-art mesoscale atmospheric model.

The MAPM methodology is validated and refined using particulate matter measurements made during a field campaign that took place in Christchurch, New Zealand from June to September 2019. Key questions that MAPM aims to answer include:

  • How do uncertainties on the PM 2.5 measurements affect the quality of the emissions maps we extract from our inverse model.
  • How do uncertainties in the meteorological data affect the quality of the emissions maps we extract from our inverse model.
  • How does the spatial and temporal resolution of the air pollution concentration measurements affect the uncertainties in the retrieved pollution emissions maps?

Here we will not only present the measurements made during the winter field campaign but also present the first derived PM 2.5 emissions maps for the city of Christchurch.

How to cite: Kremser, S., Mikaloff-Fletcher, S., Nathan, B., Dale, E., Tradowsky, J., Bird, L., Bodeker, G., Lin, D., Coulson, G., Katurji, M., Olivares, G., Mallett, T., Revell, L., and Longley, I.: Mapping Air Pollution eMissions (MAPM), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11611, https://doi.org/10.5194/egusphere-egu2020-11611, 2020.

This abstract will not be presented.