## Wildfire propagation modelling

##### Fecha

2018##### Metadatos

Mostrar el registro completo del ítem##### Resumen

Wildfires are a concrete problem with a strong impact on human life, property and the environment, because
they cause disruption and are an important source of pollutants. Climate change and the legacy of poor management are responsible for wildfires increasing in occurrence and in extension of the burned area. Wildfires
are a challenging task for research, mainly because of their multi-scale and multi-disciplinary nature. Wildfire
propagation is studied in the literature by two alternative approaches: the reaction-diffusion equation and the
front tracking level-set method. The solution of the reaction-diffusion equation is a smooth function with an
infinite domain, while the level-set method generates a sharp function that is not zero inside a compact domain.
However, these two approaches can indeed be considered complementary and reconciled. With this purpose
we derive a method based on the idea to split the motion of the front into a drifting part and a fluctuating
part. This splitting allows specific numerical and physical choices that can improve the models. In particular,
the drifting part can be provided by chosen existing method (e.g. one based on the level-set method) and this
permits the choice for the best drifting part. The fluctuating part is the result of a comprehensive statistical
description of the physics of the system and includes the random effects, e.g., turbulent hot-air transport and
fire-spotting. As a consequence, the fluctuating part can have a non-zero mean (for example, due to ember
jump lengths), which means that the drifting part does not correspond to the average motion. This last fact
distinguishes between the present splitting and the well-known Reynolds decomposition adopted in turbulence
studies. Actually, the effective front emerges to be the weighted superposition of drifting fronts according to
the probability density function of the fire-line displacement by random effects. The resulting effective process
emerges to be governed by an evolution equation of the reaction-diffusion type. In this reconciled approach,
the rate of spread of the fire keeps the same key and characterising role that is typical in the level-set approach.
Moreover, the model emerges to be suitable for simulating effects due to turbulent convection, such as fire
flank and backing fire, the faster fire spread being because of the actions by hot-air pre-heating and by ember
landing, and also due to the fire overcoming a fire-break zone, which is a case not resolved by models based on the
level-set method. A physical parametrization of fire-spotting is also proposed and numerical simulations are shown.