An Historical Review of the Simplified Physical Fire Spread Model PhyFire: Model and Numerical Methods

Author:

Asensio María Isabel12ORCID,Cascón José Manuel13ORCID,Prieto-Herráez Diego45ORCID,Ferragut Luis5ORCID

Affiliation:

1. Institute of Fundamental Physics and Mathematics, Universidad de Salamanca, Plaza de la Merced 4, 37008 Salamanca, Spain

2. Department of Applied Mathematics, Universidad de Salamanca, Calle del Parque 2, 37008 Salamanca, Spain

3. Department of Economy and Economic History, Universidad de Salamanca, Edificio FES, Campus Miguel de Unamuno, 37007 Salamanca, Spain

4. Sciences and Arts Faculty, Universidad Católica de Ávila (UCAV), Calle Canteros s/n, 05005 Ávila, Spain

5. Research Group on Numerical Simulation and Scientific Calculation, Universidad de Salamanca, 37008 Salamanca, Spain

Abstract

A historical review is conducted of PhyFire, a simplified physical forest fire spread model developed by the research group on Numerical Simulation and Scientific Computation (SINUMCC) at the University of Salamanca. The review ranges from the first version of the model to the current one now integrated into GIS, considering all the mathematical problems and numerical methods involved throughout its development: finite differences, mixed, classical and adaptive finite elements, data assimilation, sensitivity analysis, parameter adjustment, and parallel computation, among others. The simulation of processes as complex as forest fires involves a multidisciplinary effort that is constantly being enhanced, while posing interesting challenges from a mathematical, numerical, and computational perspective, without losing sight of the overriding aim of developing an efficient, effective, and useful simulation tool.

Funder

European Union’s Horizon 2020 - Research and Innovation Framework Programme

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference68 articles.

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2. (2022, September 28). GFASv1.2 Wildfire Locations and Total Fire Radiative for June–August 2022 over Eurasia. Credit: Copernicus Atmosphere Monitoring Service. Available online: https://atmosphere.copernicus.eu/europes-summer-wildfire-emissions-highest-15-years.

3. The Global Fire Atlas of individual fire size, duration, speed and direction;Andela;Earth Syst. Sci. Data,2019

4. Finney, M. (2004). FARSITE: Fire Area Simulator-Model Development and Evaluation, U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. Research Paper RMRS-RP-4 (Revised).

5. Andrews Patricia, L., and Butler, B.W. (2006). Fuels Management-How to Measure Success: Conference Proceedings, Proceedings RMRS-P-41 ed., U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.

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