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While a number of advances have been made in understanding bushfire development under extreme conditions, these have not been quantified in a manner that is suitable for inclusion in fire behaviour modelling framework. One aim of this project is to develop statistical models that allow for the inclusion of dynamic effects when they are important – that is, when fires grow sufficiently large and complex.
This project is identifying the thresholds beyond which dynamic fire behaviour becomes a dominant factor, the effects that these dynamic effects have on the overall power output of a fire, and the impacts that such dynamic effects have on fire severity. This will necessarily include consideration of other factors such as how fine fuel moisture varies across a landscape.
The project is investigating the conditions and processes under which bushfire behaviour undergoes major transitions, including fire convection and plume dynamics, evaluating the consequences of eruptive fire behaviour (spotting, convection driven wind damage, rapid fire spread) and determining the combination of conditions for such behaviours to occur (unstable atmosphere, fuel properties and weather conditions).
This project involves three overlapping research activities:
- Collating fire behaviour observations - creating a database of observations of extreme fire behaviour to use in model development and verification, working with government agencies to develop reconstructions of past fire events.
- Understanding extreme fire weather and fire behaviour - determining the thresholds in fire and environmental conditions (weather, fuel, topography) that lead to extreme fire phenomena, such as fire tornados and ember storms.
- Factors linked to extreme fire behaviour - developing simple statistical equations to represent dynamic fire phenomena that can be integrated into existing firebehaviour models.
The project is expected to benefit both the research and operational management communities by greatly improving knowledge of extreme bushfires. Currently, there is limited information with which to develop new models or test theories about extreme fire behaviour.
This project will create new observational datasets of such fires and use them to describe empirical relationships between fire phenomena and the key environmental conditions that drive them. These relationships could be incorporated into existing fire simulation systems and generate further research, including the verification of physics-based models and the development of new theories of fire propagation.
|2016||Conference Paper||Effect of prescribed burning on wildfire severity - a landscape case study from the 2003 fires in Victoria. AFAC16 (Bushfire and Natural Hazards CRC, 2016).|
|2016||Report||Determining threshold conditions for extreme fire behaviour: Annual project report 2015-2016. (Bushfire and Natural Hazards CRC, 2016).|
|2015||Journal Article||Reducing the risk of house loss due to wildfires. Environmental Modelling & Software 67, 12-25 (2015).|
|2015||Presentation||Determining threshold conditions for extreme fire behaviour. (2015).|
|2015||Report||Determining threshold conditions for extreme fire behaviour: Annual project report 2014-2015. (Bushfire and Natural Hazards CRC, 2015).|
|27 Oct 2014||Environmental thresholds for dynamic fire propagation||fire, propagation|
|04 Dec 2014||Threshold conditions for extreme fire behaviour||610.43 KB (610.43 KB)||fire, fire severity, modelling|
|22 Mar 2016||Severe and High Impact Weather - cluster overview||0 bytes (0 bytes)||fire, modelling, scenario analysis|
|24 Oct 2016||Determining threshold conditions for extreme fire behaviour||1.88 MB (1.88 MB)||fire severity, mitigation, severe weather|
|25 Oct 2016||Next generation fire modelling||1.35 MB (1.35 MB)||fire impacts, fire severity, fire weather|
This project aims to better describe the nature of bushfires, especially very severe ones, and the effect of land-use planning responses in reducing bushfire risk across a wide range of values and assets.
Bushfire management involves making decisions about complex issues that involve people, communities, stakeholders and organisations with many different perceptions and objectives.
The bushfire behaviour and management group of the University of Melbourne is conducting a project to identify the thresholds beyond which dynamic fire behaviour becomes a dominant factor and determine the combination of conditions for such behaviours to occur.