Influence of Fuel Heterogeneity and a Novel Fuel Rendering Technique on Fire Spread Predictions

Abstract

The overarching objective of this limited scope proposal is to quantify the sensitivity of fire spread predictions to the level of spatial detail found in novel 3D fine-scale surface fuels measurements. This is important because numerical-based coupled fire-atmosphere models produce highly resolved predictions of fire behavior, but have been limited by oversimplified fuels data and fuel models. Testing the efficacy of terrestrial and airborne laser scanning fuel metrics, we us Shannons Diversity Index to assess the effect on scale as a function of information loss. We develop an automated 3D fuels litter simulation to evaluate fine-scale variability.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2020
Accession Number
AD1135352

Entities

People

  • Eric Rowell
  • Kevin Hiers
  • Louis Loudermilk
  • Scott Goodrick

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Combustion
  • Computational Fluid Dynamics
  • Data Analysis
  • Data Science
  • Data Sets
  • Department Of Defense
  • Fires
  • Forest Fires
  • Forests
  • Fuel Consumption
  • Geometry
  • High Resolution
  • Low Resolution
  • Moisture Content
  • Simulations
  • Three Dimensional
  • United States

Readers

  • Computational Modeling and Simulation
  • Fire Suppression Systems Design.
  • Petroleum Engineering

Technology Areas

  • Directed Energy