Empirical-based models for predicting head-fire rate of spread in Australian fuel types
The knowledge of a free-burning fire's potential rate of spread is critical for safe and effective
bushfire control and use. A number of models for predicting the head-fire rate of spread in …
bushfire control and use. A number of models for predicting the head-fire rate of spread in …
Cohesive fire management within an uncertain environment: A review of risk handling and decision support systems
Wildfire management has been struggling in recent years with escalating devastation,
expenditures, and complexity. Given the copious factors involved and the complexity of their …
expenditures, and complexity. Given the copious factors involved and the complexity of their …
QUIC-fire: A fast-running simulation tool for prescribed fire planning
Coupled fire-atmospheric modeling tools are increasingly used to understand the complex
and dynamic behavior of wildland fires. Multiple research tools linking combustion to fluid …
and dynamic behavior of wildland fires. Multiple research tools linking combustion to fluid …
Effects of fuel spatial distribution on wildland fire behaviour
The distribution of fuels is recognised as a key driver of wildland fire behaviour. However,
our understanding of how fuel density heterogeneity affects fire behaviour is limited because …
our understanding of how fuel density heterogeneity affects fire behaviour is limited because …
Fire behavior modeling for operational decision-making
Simulation frameworks are necessary to facilitate decision-making to many fire agencies. An
accurate estimation of fire behavior is required to analyze potential impact and risk. Applied …
accurate estimation of fire behavior is required to analyze potential impact and risk. Applied …
A cloud-based framework for sensitivity analysis of natural hazard models
Computational models for natural hazards usually require a large number of input
parameters that affect the model outcome in a complex manner. The sensitivity of the input …
parameters that affect the model outcome in a complex manner. The sensitivity of the input …
[HTML][HTML] A hierarchical classification of wildland fire fuels for Australian vegetation types
Appropriate categorisation and description of living vegetation and dead biomass is
necessary to support the rising complexity of managing wildland fire and healthy …
necessary to support the rising complexity of managing wildland fire and healthy …
Bayesian physics informed neural networks for data assimilation and spatio-temporal modelling of wildfires
Abstract We apply the Physics Informed Neural Network (PINN) to the problem of wildfire fire-
front modelling. We use the PINN to solve the level-set equation, which is a partial …
front modelling. We use the PINN to solve the level-set equation, which is a partial …
Parameter estimation of fire propagation models using level set methods
A Alessandri, P Bagnerini, M Gaggero… - Applied Mathematical …, 2021 - Elsevier
The availability of wildland fire propagation models with parameters estimated in an
accurate way starting from measurements of fire fronts is crucial to predict the evolution of …
accurate way starting from measurements of fire fronts is crucial to predict the evolution of …
[HTML][HTML] RADAR-vegetation structural perpendicular index (R-VSPI) for the quantification of wildfire impact and post-fire vegetation recovery
The precise information on fuel characteristics is essential for wildfire modelling and
management. Satellite remote sensing can provide accurate and timely measurements of …
management. Satellite remote sensing can provide accurate and timely measurements of …