End User representatives
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. This project aims 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.
The study 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 research team 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).
There are 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 fires.
- 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 fire-behaviour models.
It is expected that both the research and operational management communities will benefit 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.
The research will be utilised through the development of guidelines for identifying environmental conditions causing the extreme fire behaviour phenomena during operational fire behaviour analysis and improved fire behaviour simulators through the inclusion of extreme fire behaviours.
These outputs will result in improved prediction of fire behaviour at the point where damage to property and loss of life is more likely. Improved predictions will improve the knowledge base of fire managers and their ability to make informed decisions during fires and about landscape vulnerability. This will include improving the efficiency and safety of fire suppression activities, better targeting of public information and warnings, and an improved understanding of the potential effectiveness strategies for managing landscape fire risk.
|2018||Journal Article||Improving Fire Behaviour Data Obtained from Wildfires. Forests 9, (2018).|
|2017||Report||Determining threshold conditions for extreme fire behaviour: annual project report 2016-17. (Bushfire and Natural Hazards CRC, 2017).|
|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||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|
|07 Jul 2017||Building bushfire predictive services capability||9.97 MB (9.97 MB)||fire, fire weather, modelling|
|07 Jul 2017||Building bushfire predictive services capability - Simon Heemstra||0 bytes (0 bytes)||fire, fire impacts, modelling|
|31 Oct 2017||Determining threshold conditions for extreme fire behaviour: standardising data obtained from wildfires||567.23 KB (567.23 KB)||fire, fire impacts, fire severity|
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.
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.
|Threshold conditions for extreme fire behaviour||Dr Trent Penman||University of Melbourne|
|Fire spread prediction across fuel types||Dr Khalid Moinuddin||Victoria University|
|Fire coalescence and mass spotfire dynamics||A/Prof Jason Sharples||University of New South Wales|
|Coupled fire-atmosphere modelling||Dr Mika Peace||Bureau of Meteorology|