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

A. David V. Brou; Aya Brigitte N’Dri

doi:10.5802/crmeca.77

Short paper

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

A. David V. Brou ¹ ; Aya Brigitte N’Dri ²

¹ Université Jean Lorougnon Guédé de Daloa, UFR Environnement, Laboratoire des Sciences et Technologies de l’Environnement, BP 150 Daloa, Côte d’Ivoire
² Université Nangui Abrogoua, UFR des sciences de la nature, Laboratoire d’Ecologie et Développement Durable, Station d’Ecologie de Lamto/CRE, Côte d’Ivoire

Comptes Rendus. Mécanique, Volume 349 (2021) no. 1, pp. 43-53.

Abstract
Résumé

Thirty-one bush fire experiments are used to assess the predictive capability of a bush fire spread model. This model has been optimized by a deterministic method of parameter calibration. The experiments used were carried out each year from 2014 to 2017 in a forest–savannah transition zone. The characteristics of the herbaceous stratum as well as the meteorological and topographical data are well documented. The characteristics of the fire have also been measured to understand the behaviour of the fire in a Guinean savannah. The predicted rate of fire spread and fire contours gave results in good accordance with those of the experiments.

Trente et une (31) expériences de feu de brousse ont été utilisées pour évaluer la capacité prédictive d’un modèle de propagation de feux de brousse. Ce modèle a été optimisé par une méthode déterministe de calibrage des paramètres. Les expériences utilisées ont été réalisées chaque année de 2014 à 2017 dans une zone de transition forêt - savane. Les caractéristiques de la strate herbacée ainsi que les données météorologiques et topographiques ont été bien documentées. Les caractéristiques du feu ont été également mesurées pour comprendre le comportement du feu dans une savane Guinéenne. Les vitesses de propagation et les contours de feux prédits ont donné des résultats en bon accord avec ceux des expériences.

Received: 2020-12-08
Revised: 2021-01-30
Accepted: 2021-02-03
Published online: 2021-03-04

DOI: 10.5802/crmeca.77

Keywords: Optimized model evaluation, Calibration parameter, Large-scale bush fire experiments, Rate of spread, Fire propagation, Guinean savannah

Author's affiliations:

A. David V. Brou ¹; Aya Brigitte N’Dri ²

¹ Université Jean Lorougnon Guédé de Daloa, UFR Environnement, Laboratoire des Sciences et Technologies de l’Environnement, BP 150 Daloa, Côte d’Ivoire
² Université Nangui Abrogoua, UFR des sciences de la nature, Laboratoire d’Ecologie et Développement Durable, Station d’Ecologie de Lamto/CRE, Côte d’Ivoire

License:

CC-BY 4.0

Copyrights: The authors retain unrestricted copyrights and publishing rights

@article{CRMECA_2021__349_1_43_0,
     author = {A. David V. Brou and Aya Brigitte N{\textquoteright}Dri},
     title = {Evaluation of an optimized bush fire propagation model with large-scale fire experiments},
     journal = {Comptes Rendus. M\'ecanique},
     pages = {43--53},
     publisher = {Acad\'emie des sciences, Paris},
     volume = {349},
     number = {1},
     year = {2021},
     doi = {10.5802/crmeca.77},
     language = {en},
}

TY  - JOUR
AU  - A. David V. Brou
AU  - Aya Brigitte N’Dri
TI  - Evaluation of an optimized bush fire propagation model with large-scale fire experiments
JO  - Comptes Rendus. Mécanique
PY  - 2021
SP  - 43
EP  - 53
VL  - 349
IS  - 1
PB  - Académie des sciences, Paris
DO  - 10.5802/crmeca.77
LA  - en
ID  - CRMECA_2021__349_1_43_0
ER  -

%0 Journal Article
%A A. David V. Brou
%A Aya Brigitte N’Dri
%T Evaluation of an optimized bush fire propagation model with large-scale fire experiments
%J Comptes Rendus. Mécanique
%D 2021
%P 43-53
%V 349
%N 1
%I Académie des sciences, Paris
%R 10.5802/crmeca.77
%G en
%F CRMECA_2021__349_1_43_0

A. David V. Brou; Aya Brigitte N’Dri. Evaluation of an optimized bush fire propagation model with large-scale fire experiments. Comptes Rendus. Mécanique, Volume 349 (2021) no. 1, pp. 43-53. doi : 10.5802/crmeca.77. https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.5802/crmeca.77/

References
Cited by

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

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

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

[5] M. Rochoux; C. Emery; S. Ricci; B. Cuenot; A. Trouvé 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

[6] A. Farguell; A. Cortés; T. Margalef; J. Miro; J. Mercader Data resolution effects on a coupled data driven system for forest fire propagation prediction, Procedia Comput. Sci., Volume 108 (2017), pp. 1562-1571 | DOI

[7] Y. Xin-She; K. Slawomir Computational Optimization and Applications in Engineering and Industry, 356, Springer, Berlin, Heidelberg, 2011, pp. 1-11

[8] M. H. Tchiekre; A. D. V. Brou; J. K. Adou Detreministic optimization techniques to calibrate parameters in a wildland fire propagation model, C. R. Méc., Volume 348 (2020), pp. 759-768

[9] B. Porterie; N. Zekri; J.-P. Clerc; J.-C. Loraud Un Réseau de Petit Monde local à sites pondérés pour les feux de forêts, C. R. Phys., Volume 6 (2005), pp. 151-157 | DOI

[10] B. Porterie; N. Zekri; J.-P. Clerc; J.-C. Loraud Influence des brandons sur la propagation d’un feu de forêt, C. R. Phys., Volume 6 (2005), pp. 1153-1160 | DOI

[11] A. Kaiss; L. Zekri; N. Zekri; B. Porterie; J.-P. Clerc; C. Picard Efficacité des coupures de combustible dans la prévention des feux de forêts, C. R. Phys., Volume 8 (2007), pp. 462-468 | DOI

[12] B. Porterie; N. Zekri; J.-P. Clerc; J.-P. Loraud Modeling forest fire spread and spotting process with small world networks, Combust. Flame, Volume 149 (2007), pp. 63-78 | DOI

[13] J. Adou; Y. Billaud; D. Brou; J.-P. Clerc; J.-L. Consalvi; A. Fuentes; A. Kaiss; F. Nmira; B. Porterie; L. Zekri; N. Zekri Simulating wildfire patterns using a small - world network model, Ecol. Model., Volume 221 (2010), pp. 1463-1471 | DOI

[14] J. Adou; A. Brou; B. Porterie Modeling wildland fire propagation using a semi - physical network model, Case Stud. Fire Saf., Volume 4 (2015), pp. 11-18 | DOI

[15] Gouvernement de Côte d’Ivoire Portail Officiel du Gouvernement de Côte d’Ivoire (Available at: http://www.gouv.ci/_actualite-article.php?d=3&recordID=8535. Accessed on April 23, 2020)

[16] B. Monod; A. Collin; G. Parent; P. Boulet Infrared radiative properties of vegetation involved in forest fires, Fire Saf. J., Volume 44 (2009), pp. 88-95 | DOI

[17] Z. Acem; G. Parent; B. Monod; G. Jeandel; P. Boulet Experiment study in the infrared of the radiative properties of pine needles, Exp. Therm. Fluid Sci., Volume 34 (2010), pp. 893-899 | DOI

[18] F. M. White Heat and Mass Transfer, Addison-Wesley, Reading, MA, 1988, 718 pages (Ed., 2, illustrated, reprinted)

[19] M. B. Kenneth; W. R. Kenneth; J. R. Christopher Modeling thermally thick pyrolysis of wood, Biomass Bioenerg., Volume 22 (2002), pp. 41-53

[20] B. Babu; A. S. Chaurasia Heat transfert and kinetics in the pyrolysis of shrinking biomass particle, Chem. Eng. Sci., Volume 59 (2004), pp. 1999-2012 | DOI

[21] Z. Kuo; S. José; G. Daniel; M. German; F. Gilles Modeling of beech wood pellet pyrolisis under concentrated solar radiation, Renew. Energ., Volume 99 (2006), pp. 721-729

[22] E. Grieco; G. Baldi Analysis and modelling of wood pyrolysis, Chem. Eng. Sci., Volume 66 (2011), pp. 650-660 | DOI

[23] X. Sànchez-Monroy; W. Mell; J. Torres-Arenas; B. W. Butler Fire spread upslope: Numerical simulation of laboratory esperiments, Fire Saf. J., Volume 108 (2019), 102844 | DOI

[24] Scilab Company http://www.scilab.org (Addressed 04/11/2019)

[25] A. B. N’Dri; D. S. Tionhonkélé; G. Jacques; D. Kanvaly; K. Mouhamadou; K. N. Julien; A. K. N’golo; B. Sébastien Season affects fire behavior in annually burned humid savanna of West Africa, Fire Ecol., Volume 14 (2018), pp. 1-11 | DOI

Cited by Sources:

Comments - Policy