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Article dans une revue

A Simplified Mathematical Model for Fire Spread Predictions in Wildland Fires Combining between the Models of Anderson and Rothermel

Abstract :

Predicting the potential behavior a forest fire is an essential task in fire management which aims to minimize the negative impact of fire on property and society. Many fire spread models were developed. They are either physics-based or empirical models. These mathematical models usually use a set of non-linear equations which are mostly complex and couldn’t easily applied in developing countries like Lebanon. This paper poses a semi-empirical mathematical model referring to the experimental results used in Anderson’s model (1983) and relying on Rothermel’s model (1972). The proposed equation uses parameters of both weather and topography, where wind speed and direction, fuel moisture content and slope coefficient are introduced to obtain the expected spread rate (mile/hour).This proposed model is characterized by its simplicity and thus the possibility of implementation in Lebanon.

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https://hal.univ-angers.fr/hal-03285195
Contributeur : Okina Université d'Angers <>
Soumis le : mardi 13 juillet 2021 - 10:48:47
Dernière modification le : mercredi 14 juillet 2021 - 03:43:28

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Ali Karouni, Bassam Daya, Samia Bahlak, Pierre Chauvet. A Simplified Mathematical Model for Fire Spread Predictions in Wildland Fires Combining between the Models of Anderson and Rothermel. International Journal of Modeling and Optimization, IJMO, 2014, 4 (3), pp.197-200. ⟨10.7763/IJMO.2014.V4.372⟩. ⟨hal-03285195⟩

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