Compartir
Título
Validating the effect of fuel moisture content by a multivalued operator in a simplified physical fire spread model
Autor(es)
Materia
Fuel moisture content
Rate of spread
Multivalued operator
Wildfire spread simulation
Clasificación UNESCO
1203.26 Simulación
Fecha de publicación
2023
Editor
Elsevier
Citación
Asensio, M.I. Cascón, J.M. Laiz, P. Prieto-Herráez, D. Validating the effect of fuel moisture content by a multivalued operator in a simplified physical fire spread model. Environmental Modelling and Software. 2023; 164: 105710. https://doi.org/10.1016/j.envsoft.2023.105710
Resumen
[EN]Fuel moisture content (FMC) plays a significant role in wildfire behavior and rate of spread (ROS). In addition,
FMC is a highly dynamic factor and very vulnerable to climate variations. Understanding the effect of FMC
on the behavior of fire spread models is crucial, and detailed analysis of specific aspects of complex models is
a very effective way to improve them. The simplified physical fire spread model PhyFire considers the effect
of FMC in a novel way, involving a multivalued maximal monotone operator. Several numerical experiments
have been carried out to confirm that the behavior of the ROS simulated with PhyFire involving FMC is
as expected in the reviewed literature: an exponential decrease in fire ROS compared to FMC, for different
scenarios, considering different fuel types, terrain slopes and wind speeds. PhyFire performs very accurately,
proving that the multivalued operator used is suitable and consistent.
URI
ISSN
1364-8152
DOI
10.1016/j.envsoft.2023.105710
Versión del editor
Colecciones
- SINUMCC. Artículos [18]
Ficheros en el ítem
Nombre:
Tamaño:
1.956Mb
Formato:
Adobe PDF
Descripción:
Artículo principal