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Global sensitivity analysis of fuel-type-dependent input variables of a simplified physical fire spread model

Author(s): María Isabel Asensio-Sevilla, M. Teresa Santos-Martín, David Álvarez-León, Luis Ferragut-Canals
Year Published: 2020
Description:

A new global sensitivity analysis has been conducted of fuel-type-dependent input variables of the simplified physical fire spread model (PhyFire) to understand how the use of spatial averages, that is, fuel models, influences the results of PhyFire with a view to enhancing its understanding and improving its design. The model’s simplicity, the numerical techniques used, and a recent code optimisation, allow undertaking the analysis with very competitive computational times. The fuel data used correspond to grasslands, shrublands and forest in the Spanish region of Galicia. The analysis results validate the flame length sub-model proposed in the paper, which significantly improves the model’s efficiency.

Citation: Asensio-Sevilla, María Isabel; Santos-Martín, M. Teresa; Álvarez-León, David; Ferragut-Canals, Luis. 2020. Global sensitivity analysis of fuel-type-dependent input variables of a simplified physical fire spread model. Mathematics and Computers in Simulation 172:33-44. https://doi.org/10.1016/j.matcom.2020.01.001
Topic(s): Fire Behavior, Simulation Modeling
Ecosystem(s): None
Document Type: Book or Chapter or Journal Article
NRFSN number: 21466
FRAMES RCS number: 60676
Record updated: Jul 8, 2020