Analytical and numerical insights into wildfire dynamics: Exploring the advection-diffusion-reaction model
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866910313030352896 |
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| author | Reisch, Cordula Navas-Montilla, Adrián Özgen-Xian, Ilhan |
| author_facet | Reisch, Cordula Navas-Montilla, Adrián Özgen-Xian, Ilhan |
| contents | Understanding the dynamics of wildfire is crucial for developing management and intervention strategies. Mathematical and computational models can be used to improve our understanding of wildfire processes and dynamics. This paper presents a systematic study of a widely used advection-diffusion-reaction wildfire model with non-linear coupling. The importance of single mechanisms is discovered by analysing hierarchical sub-models. Numerical simulations provide further insight into the dynamics. As a result, the influence of wind and model parameters such as the bulk density or the heating value on the wildfire propagation speed and the remaining biomass after the burn are assessed. Linearisation techniques for a reduced model provide surprisingly good estimates for the propagation speed in the full model. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2307_16174 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Analytical and numerical insights into wildfire dynamics: Exploring the advection-diffusion-reaction model Reisch, Cordula Navas-Montilla, Adrián Özgen-Xian, Ilhan Dynamical Systems 35K57, 35Q80, 65M12, 92F05 Understanding the dynamics of wildfire is crucial for developing management and intervention strategies. Mathematical and computational models can be used to improve our understanding of wildfire processes and dynamics. This paper presents a systematic study of a widely used advection-diffusion-reaction wildfire model with non-linear coupling. The importance of single mechanisms is discovered by analysing hierarchical sub-models. Numerical simulations provide further insight into the dynamics. As a result, the influence of wind and model parameters such as the bulk density or the heating value on the wildfire propagation speed and the remaining biomass after the burn are assessed. Linearisation techniques for a reduced model provide surprisingly good estimates for the propagation speed in the full model. |
| title | Analytical and numerical insights into wildfire dynamics: Exploring the advection-diffusion-reaction model |
| topic | Dynamical Systems 35K57, 35Q80, 65M12, 92F05 |
| url | https://arxiv.org/abs/2307.16174 |