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Wind Tunnel Experiments to Study Chaparral Crown Fires
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Detecting deterministic chaos in a high-complexity fire model.

Jenna Sjunneson McDanold1,2, Alex Jonko1, Kara Yedinak3

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Summary
This summary is machine-generated.

Wildfire behavior is highly chaotic and spatially correlated at the fireline

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Area of Science:

  • Atmospheric Hydrodynamics
  • Wildfire Dynamics
  • Chaos Theory

Background:

  • Wind sensitivity in marginal fire behavior is documented in field observations and complex models.
  • Understanding fire-line dynamics is crucial for predicting wildfire spread and intensity.

Purpose of the Study:

  • To investigate the chaotic nature of fire behavior at the fireline using advanced modeling.
  • To analyze the spatial correlations of fire dynamics with wind and heat transfer.

Main Methods:

  • Utilized the FIRETEC coupled atmospheric hydrodynamic-fire behavior model to simulate marginal fire scenarios.
  • Generated 1D time series data for solid fuel temperature, convective heat transfer, horizontal wind, and vertical wind velocity.
  • Applied the Chaos 0-1 test to identify chaotic signals and permutation entropy to assess stochasticity.

Main Results:

  • The leading edge of the fireline exhibits highly chaotic and spatially correlated behavior.
  • Time step length was found to influence determinism, necessitating stochasticity analysis.
  • Spatial relationships were analyzed by including data from in front of and behind the fireline.

Conclusions:

  • The fireline's leading edge demonstrates complex, chaotic dynamics influenced by wind and heat transfer.
  • Challenges exist in simplifying these complex time series for existing 1D algorithms.
  • Findings provide insights for future research in wildfire modeling and prediction.