Lava flows have threatened and/or inundated inhabited areas and/or their supporting
networks 38 times at 12 volcanoes in the past 70 years. A systematic evaluation of these …

Prediction of the emplacement of volcanic mass flows (lava flows, pyroclastic density
currents, debris avalanches and debris flows) is required for hazard and risk assessment …

Monogenetic volcanic fields, such as the Auckland Volcanic Field (AVF), New Zealand, are
common on the Earth's surface and are typically dominated by basaltic lava flows up to 10 s …

In this paper, a model based on Cellular Automata (CAs) for predicting wildfire spreading is
presented. The proposed model is inspired by existing fire spread models, but also includes …

MAGFLOW is a physics-based numerical model for lava flow simulations based on the
Cellular Automaton approach that has been successfully used to predict the lava flow paths …

Modeling lava flow propagation is important to determine potential hazards to local
populations. Thermo-rheological models such as PyFLOWGO track downflow cooling and …

In the field of wildfire risk management the so-called burn probability maps (BPMs) are
increasingly used with the aim of estimating the probability of each point of a landscape to …

In recent years, urban models based on Cellular Automata (CA) are becoming increasingly
sophisticated and are being applied to real-world problems covering large geographical …

The rate at which lava is discharged plays a key role in controlling the distance covered by
lava flows from eruptive vents. We investigate the available time-averaged discharge rates …

Cellular Automata (CA) are discrete and parallel computational models useful for simulating
dynamic systems that evolve on the basis on local interactions. Some natural events, such …