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A physics-based cellular automaton model for wildland fire evolution

Nijhuis, Robert-Jan F.G. (2024) A physics-based cellular automaton model for wildland fire evolution.

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Abstract:In this report, a physics-based mathematical model is used to predict the devel- opment of a wildfire using a cellular automaton. Physical factors from fire behaviour fuel model data are used as specified by Rothermel in 1972 [9] as an input to the automaton. The automaton was implemented in C for performance reasons and only uses libegeotiff as an external library. Our results are visually compared with a sim- ilar model (Jiang et al) that uses a larger set of physical factors. Our results differ from Jiang et al under the same starting location and fire behaviour fuel model, which is likely due to the fact that certain variables such as temperature, humidity, eleva- tion and wind were not considered in the model. However, these variables can be incorporated in future works as per Jiang et al[6] and Andrews [4].
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:31 mathematics, 54 computer science
Programme:Applied Mathematics BSc (56965)
Link to this item:https://purl.utwente.nl/essays/101828
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