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Nonlinear Sciences > Cellular Automata and Lattice Gases

arXiv:1712.04498 (nlin)
[Submitted on 12 Dec 2017]

Title:Pixel-Level Statistical Analyses of Prescribed Fire Spread

Authors:Miles Currie, Kevin Speer, Kevin Hiers, Joseph O'Brien, Scott Goodrick, Bryan Quaife
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Abstract:Wildland fire dynamics is a complex turbulent dimensional process. Cellular automata (CA) is an efficient tool to predict fire dynamics, but the main parameters of the method are challenging to estimate. To overcome this challenge, we compute statistical distributions of the key parameters of a CA model using infrared images from controlled burns. Moreover, we apply this analysis to different spatial scales and compare the experimental results to a simple statistical model. By performing this analysis and making this comparison, several capabilities and limitations of CA are revealed.
Comments: 14 pages, 7 figures, 2 tables
Subjects: Cellular Automata and Lattice Gases (nlin.CG); Probability (math.PR); Atmospheric and Oceanic Physics (physics.ao-ph)
Cite as: arXiv:1712.04498 [nlin.CG]
  (or arXiv:1712.04498v1 [nlin.CG] for this version)
  https://doi.org/10.48550/arXiv.1712.04498

Submission history

From: Bryan Quaife [view email]
[v1] Tue, 12 Dec 2017 20:28:55 UTC (339 KB)
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