Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …

The recent huge technological development of unmanned aerial vehicles (UAVs) can
provide breakthrough means of fighting wildland fires. We propose an innovative forest …

Wildfires are complex phenomena, both in time and space, in ecosystems. The ability to
understand wildfire dynamics and to predict the behaviour of the propagating fire is essential …

Cellular automata have been successfully applied to simulate the propagation of wildfires
with the aim of assisting fire managers in defining fire suppression tactics and in planning …

Assimilating real-time sensor data into large-scale spatial-temporal simulations, such as
simulations of wildfires, is a promising technique for improving simulation results. This asks …

The wildfire prediction model is crucial for accurate rescue and rapid evacuation. Existing
models mainly adopt regular grids or fire perimeters to describe the wildfire landscape …

Cellular Automata (CA) have been introduced many decades ago as one of the most
efficient parallel computational models able to simulate various physical processes and …

Environmental conditions, such as fuel load and moisture levels, can influence the
behaviour of wildfires. These factors are subject to natural small-scale variation which is …

Trajectory data of simultaneously moving objects is being recorded in many different
domains and applications. However, existing techniques that utilise such data often fail to …

Abstract A novel Large Eddy Simulation (LES) based fire field model that incorporates
pyrolysis modelling has been developed. This model is specifically designed for flame …