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Related Experiment Video

Updated: Feb 11, 2026

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[Evaluating fire behavior simulators in southwestern China forest area].

Fan Zhao1,2, Li Fu Shu1, Ru Liang Zhou2

  • 1State Forestry Administration Key Open Laboratory of Forest Protection, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.

Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|April 26, 2018
PubMed
Summary

This study evaluated two forest fire simulators, Farsite and Prometheus, using data from a real wildfire. Farsite demonstrated higher accuracy in simulating fire spread and intensity, particularly in areas with specific vegetation like Pinus yunnanensis.

Keywords:
Farsite modelPrometheus modelfire behaviorforest fire

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Area of Science:

  • Forestry
  • Wildfire Science
  • Environmental Modeling

Background:

  • Forest fire behavior parameters are crucial for effective wildfire management.
  • Developed countries utilize fire behavior simulators for obtaining these parameters.
  • Evaluating the accuracy of these simulators is essential for reliable wildfire prediction.

Purpose of the Study:

  • To quantitatively assess the accuracy of two widely used forest fire simulators, Farsite (USA) and Prometheus (Canada).
  • To compare the simulated fire behavior parameters against actual data from the '3·29 Fire' in Anning City, China.
  • To identify areas where simulator performance differs, particularly concerning vegetation types.

Main Methods:

  • Selected Farsite and Prometheus simulators for analysis.
  • Utilized data from the '3·29 Fire' event in Anning City, Southwestern China.
  • Quantitatively compared simulated fire perimeters, rates of spread (ROS), and fireline intensity (FLI) with actual fire data.

Main Results:

  • Farsite showed higher precision in perimeter simulation compared to Prometheus, especially in Pinus yunnanensis distribution areas.
  • Farsite's simulated rate of spread (ROS) closely matched actual data, while Prometheus's results deviated significantly.
  • Farsite's fireline intensity (FLI) simulations were consistent, whereas Prometheus yielded notably different results, particularly in Quercus areas.

Conclusions:

  • Farsite generally provided more accurate simulations of forest fire behavior parameters (perimeter, ROS, FLI) compared to Prometheus.
  • Simulator accuracy is influenced by fuel models and vegetation distribution, such as Pinus yunnanensis and Quercus.
  • The findings support the use of Farsite for more reliable forest fire behavior prediction in similar environments.