Evaluation of an optimized bush fire propagation model with large-scale fire experiments

Author:

Brou A. David V.,N’Dri Aya Brigitte

Publisher

Cellule MathDoc/CEDRAM

Subject

Mechanics of Materials,General Materials Science

Reference25 articles.

1. [1] NASA Fire : 2019-08-25 and 2019-08-26 (NASA. August 25, 2019. Available at: https://firms.modaps.eosdis.nasa.gov/map/#z:3;c:28.1,-17.3;t:adv-points;d:2019-08-25..2019-08-26;l:firms_noaa20-viirs,firms_viirs,firms_modis_a,firms_modis_t. Accessed on March 6, 2020)

2. [2] Countryman, C. The fire environment concept, USDA For. Serv., Pac. Southwest For. and Range Exp. Station., 1972 (15 p)

3. [3] Tomas, A.; Andrés, C.; Ana, C.; Tomas, M. Time aware genetic algorithm fire propagation prediction: exploiting multi-core platforms, Concurr. Comput., Volume 29 (2017), pp. 1-18

4. [4] Rios, O.; Valero, M.; Pastor, E.; Planas, E. A data-driven fire spread simulator: Validation in Vall-llobrega’s fire, Front. Mech. Eng., Volume 5 (2019), pp. 1-11

5. [5] Rochoux, M.; Emery, C.; Ricci, S.; Cuenot, B.; Trouvé, A. A comparative study of parameter estimation and state estimation approaches in data - driven wildfire spread modeling, VII International Conference on Forest Fire Research, Coimbra (2014), pp. 1-12

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