Physical modelling of dynamic bushfire propagation leading to parameterization for operational modelling

Bushfires play a pivotal role in the ecosystems of Australia, contributing to the natural regeneration of flora and the maintenance of biodiversity. However, with the increasing impacts of climate change, the frequency and intensity of bushfires are escalating, leading to severe environmental degradation and heightened risks to human life and property. The need for advanced predictive tools to manage and mitigate these risks is more pressing than ever. This paper explores the application of physical modelling to understand the dynamic behaviours of bushfire propagation, particularly in extreme conditions, and discusses how these models can be parameterized for use in operational forecasting systems.

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Publication Details

Published
2024-11-24
DOI
https://doi.org/10.71427/icfserp2024/75
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00
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article

Physical modelling of dynamic bushfire propagation leading to parameterization for operational modelling

Matthew Kyng, Khalid Moinuddin, Ahmad Hassan, Gilbert Accary
Landslides and related hazards
article

Physical modelling of dynamic bushfire propagation leading to parameterization for operational modelling

Matthew Kyng, Khalid Moinuddin, Ahmad Hassan, Gilbert Accary
article en

Abstract

Bushfires play a pivotal role in the ecosystems of Australia, contributing to the natural regeneration of flora and the maintenance of biodiversity. However, with the increasing impacts of climate change, the frequency and intensity of bushfires are escalating, leading to severe environmental degradation and heightened risks to human life and property. The need for advanced predictive tools to manage and mitigate these risks is more pressing than ever. This paper explores the application of physical modelling to understand the dynamic behaviours of bushfire propagation, particularly in extreme conditions, and discusses how these models can be parameterized for use in operational forecasting systems.

Openalex Percentile: Top 57%
Landslides and related hazards
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