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April 30, 2026NATURAL AND MAN-MADE RISKS (PHYSICO-MATHEMATICAL AND APPLIED ASPECTS)0 citationsOpen Access

Numerical Modeling of the Dynamics of a Forest Fire Front Taking Into Account the Influence of Wind and Material Moisture

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EAEgor AstashovVPViktoriya Paryonkina

Key Points

  • To develop a mathematical model for forecasting forest fire dynamics considering environmental factors.
  • Developed a mathematical model using partial differential equations
  • Incorporated non-stationary heat conduction and convective heat transfer
  • Adapted models for the influence of wind speed and material humidity
  • Implemented a computational algorithm based on an implicit difference scheme
  • Increased wind speed (1 to 6 m/s) led to a 4.3-fold increase in fire front speed
  • Higher humidity (5% to 30%) resulted in a 1.8-fold decrease in front speed
  • Verification showed a discrepancy of no more than 12% compared to experimental data
  • Model aids Russian Ministry of Emergency Situations in predicting fire spread and optimizing responses

Abstract

The paper developed and verified a mathematical model for the operational forecasting of the dynamics of forest fires, based on a system of partial differential equations. The model includes a non-stationary heat conduction equation, convective heat transfer by air flows, and the combustion kinetics of cellulose materials, taking into account the humidity. The scientific novelty of the work lies in the adaptation of a physically grounded approach of heat engineering to the problems of modeling natural fires, which allowed to take into account the influence of meteorological factors and the properties of combustible materials. A computational algorithm based on an implicit difference scheme and the method of forward sweep is implemented. Quantitative relationships have been established: an increase in wind speed from 1 to 6 m/s leads to a 4.3-fold increase in front speed, while an increase in humidity from 5 % to 30 % reduces it by 1.8 times. Verification based on experimental data showed a discrepancy of no more than 12 %. The practical significance for the Russian Ministry of Emergency Situations is to create a tool for predicting the time it takes for a fire to reach populated areas and optimizing firefighting operations.

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Cite This Study

Astashov et al. (2026) studied this question.

synapsesocial.com/papers/69f2a49d8c0f03fd6776396fhttps://doi.org/10.61260/2304-0130-2026-1-18-28
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