Articles | Volume 22, issue 10
https://doi.org/10.5194/nhess-22-3487-2022
https://doi.org/10.5194/nhess-22-3487-2022
Research article
 | 
24 Oct 2022
Research article |  | 24 Oct 2022

Modelling ignition probability for human- and lightning-caused wildfires in Victoria, Australia

Annalie Dorph, Erica Marshall, Kate A. Parkins, and Trent D. Penman

Viewed

Total article views: 2,007 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,467 491 49 2,007 30 39
  • HTML: 1,467
  • PDF: 491
  • XML: 49
  • Total: 2,007
  • BibTeX: 30
  • EndNote: 39
Views and downloads (calculated since 08 Mar 2022)
Cumulative views and downloads (calculated since 08 Mar 2022)

Viewed (geographical distribution)

Total article views: 2,007 (including HTML, PDF, and XML) Thereof 1,904 with geography defined and 103 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Apr 2024
Download
Short summary
Wildfire spatial patterns are determined by fire ignition sources and vegetation fuel moisture. Fire ignitions can be mediated by humans (owing to proximity to human infrastructure) or caused by lightning (owing to fuel moisture, average annual rainfall and local weather). When moisture in dead vegetation is below 20 % the probability of a wildfire increases. The results of this research enable accurate spatial mapping of ignition probability to aid fire suppression efforts and future research.
Altmetrics
Final-revised paper
Preprint