Articles | Volume 5, issue 1
https://doi.org/10.5194/ascmo-5-57-2019
https://doi.org/10.5194/ascmo-5-57-2019
16 Apr 2019
 | 16 Apr 2019

Fitting a stochastic fire spread model to data

X. Joey Wang, John R. J. Thompson, W. John Braun, and Douglas G. Woolford

Viewed

Total article views: 4,957 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,437 452 68 4,957 252 63 57
  • HTML: 4,437
  • PDF: 452
  • XML: 68
  • Total: 4,957
  • Supplement: 252
  • BibTeX: 63
  • EndNote: 57
Views and downloads (calculated since 16 Apr 2019)
Cumulative views and downloads (calculated since 16 Apr 2019)

Viewed (geographical distribution)

Total article views: 3,869 (including HTML, PDF, and XML) Thereof 3,684 with geography defined and 185 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
This paper presents the analysis of data from small-scale laboratory experimental smouldering fires that were digitally video-recorded. The video images of these fires bear a resemblance to remotely sensed images of wildfires and provide an opportunity to fit and assess a spatial model for fire spread that attempts to account for uncertainty in fire growth. We found that the fitting method is feasible, and the spatial model provides a suitable mathematical for the fire spread process.