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

Author

Listed:
  • Asensio-Sevilla, M.I.
  • Santos-Martín, M.T.
  • Álvarez-León, D.
  • Ferragut-Canals, L.

Abstract

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.

Suggested Citation

  • Asensio-Sevilla, M.I. & Santos-Martín, M.T. & Álvarez-León, D. & Ferragut-Canals, L., 2020. "Global sensitivity analysis of fuel-type-dependent input variables of a simplified physical fire spread model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 172(C), pages 33-44.
    • Handle: RePEc:eee:matcom:v:172:y:2020:i:c:p:33-44
    DOI: 10.1016/j.matcom.2020.01.001
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    References listed on IDEAS

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    1. Lamboni, M. & Iooss, B. & Popelin, A.-L. & Gamboa, F., 2013. "Derivative-based global sensitivity measures: General links with Sobol’ indices and numerical tests," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 87(C), pages 45-54.
    2. W. Matt Jolly & Mark A. Cochrane & Patrick H. Freeborn & Zachary A. Holden & Timothy J. Brown & Grant J. Williamson & David M. J. S. Bowman, 2015. "Climate-induced variations in global wildfire danger from 1979 to 2013," Nature Communications, Nature, vol. 6(1), pages 1-11, November.
    3. Mandel, Jan & Bennethum, Lynn S. & Beezley, Jonathan D. & Coen, Janice L. & Douglas, Craig C. & Kim, Minjeong & Vodacek, Anthony, 2008. "A wildland fire model with data assimilation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 584-606.
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