Articles | Volume 24, issue 5
https://doi.org/10.5194/acp-24-2985-2024
https://doi.org/10.5194/acp-24-2985-2024
Research article
 | 
07 Mar 2024
Research article |  | 07 Mar 2024

Improved estimates of smoke exposure during Australia fire seasons: importance of quantifying plume injection heights

Xu Feng, Loretta J. Mickley, Michelle L. Bell, Tianjia Liu, Jenny A. Fisher, and Maria Val Martin

Viewed

Total article views: 1,852 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,442 323 87 1,852 104 48 49
  • HTML: 1,442
  • PDF: 323
  • XML: 87
  • Total: 1,852
  • Supplement: 104
  • BibTeX: 48
  • EndNote: 49
Views and downloads (calculated since 22 Jun 2023)
Cumulative views and downloads (calculated since 22 Jun 2023)

Viewed (geographical distribution)

Total article views: 1,852 (including HTML, PDF, and XML) Thereof 1,803 with geography defined and 49 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
During severe wildfire seasons, smoke can have a significant impact on air quality in Australia. Our study demonstrates that characterization of the smoke plume injection fractions greatly affects estimates of surface smoke PM2.5. Using the plume behavior predicted by the machine learning method leads to the best model agreement with observed surface PM2.5 in key cities across Australia, with smoke PM2.5 accounting for 5 %–52 % of total PM2.5 on average during fire seasons from 2009 to 2020.
Altmetrics
Final-revised paper
Preprint