Abstract
One of the consequences of climate change is the increase in forest fires around the world. In order to act quickly when this type of natural disaster occurs, it is important to have simulation tools that allow a better approximation of the evolution of the fire, especially in Wildland Urban Interface (WUI) areas. Most forest fire propagation simulators tend to represent the perimeter of the fire in a polygonal way, which often does not allow us to capture the real evolution of the fire in complex environments, both at the terrain and vegetation levels. In this work, we focus on Elliptical Wave Propagation (EWP) based simulators, which represent the perimeter of the fire with a set of points connected to each other by straight lines. When the perimeter grows and new points must be added, the interpolation method used is linear interpolation. This system generates unrealistic shapes of fires. In this work, an interpolation method leveraging Composite Bézier Curves (CBC) is proposed to generate fire evolution shapes in a more realistic way. The proposed method has been incorporated into FARSITE, a well-known EWP-based forest fire spread simulator. Both interpolation methods have been applied to ideal scenarios and a real case. The results show that the proposed interpolation method (CBC) is capable of generating more realistic fire shapes and, in addition, enables the simulator the ability to better simulate the spread of fire in WUI zones.
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Acknowledgments
This work has been granted by the Spanish Ministry of Science and Innovation MCIN AEI/10.13039/501100011033 under contracts PID2020-113614RB-C21 and CPP2021-008762 and by the European Union-NextGenerationEU/PRTR. It also has been partially granted by the Catalan Government under grant 2021-SGR-574. We would like to thank Bombers de la Generalitat de Catalunya and Agencia Estatal de Meteorología (AEMET) of Spain for providing valuable data on fire evolution and meteorological data of the Pont de Vilomara fire.
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González, I., Carrillo, C., Cortés, A., Margalef, T. (2024). Enhancing the Realism of Wildfire Simulation Using Composite Bézier Curves. In: Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2024. ICCS 2024. Lecture Notes in Computer Science, vol 14832. Springer, Cham. https://doi.org/10.1007/978-3-031-63749-0_11
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