End User representatives
Bushfires occur on a scale that may be measured in kilometres. However, a challenge faced in developing next generation bushfire models is to capture the significant contributions that small scale phenomena make to the spread of bushfires.
This project is using spatial averaging to accurately describe the interactions between the wind and vegetative canopies. Averaging methods are being used to quantify the rate of thermal radiation in bushfires.
These length scales will be spanned by making use of a computational technique known as large eddy simulation, which accurately resolves phenomena that occur on the length scales of tens of centimetres, and which relies on approximations of the small scale phenomena.
However, a conflict exists between modelling the physical details that govern the rate of spread of bushfires and the availability of computing power. As a result, one strand of the research is developing improved computational methods. One such method has enabled the project to model buoyancy-driven flows with great accuracy. The next stage of the project’s work is to apply it specifically to the rate of spread of bushfires.
Infrastructure must be not only bushfireresistant, but also aesthetically pleasing and economical to build. To be truly creative, designers benefit from having access to a deep understanding of the mechanisms that determine the rate of heat transfer between a bushfire and structures. A further strand of the research aims to develop simple-to-use formula that will help designers of infrastructure at the urban-bushfire interface.
The study will also obtain more accurate fuel data, develop a bushfire model based on Australian vegetation, model airflow through tree canopies, and provide a detailed description of the generation and spread of embers.
|2016||Journal Article||Turbulent flow over transitionally rough surfaces with varying roughness densities. Journal of Fluid Dynamics October 2016, (2016).|
|2016||Report||Fire spread prediction across fuel types: Annual project report 2015-2016. (Bushfire and Natural Hazards CRC, 2016).|
|2015||Presentation||The spread of fires in landscapes. (2015).|
|2015||Report||Fire spread prediction across fuel types: Annual project report 2014-2015. (Bushfire and Natural Hazards CRC, 2015).|
|2015||Report||Fire Spread Across Fuel Types Annual Report 2014. (2015).|
|21 Mar 2014||Fire spread prediction across fuel types||1.49 MB (1.49 MB)||fire, modelling, prescribed burning|
|08 Sep 2014||Next generation models for predicting the behaviour of bushfires||1.12 MB (1.12 MB)||fire, modelling|
|27 Oct 2014||Next generation models for predicting the behaviour of bushfires||fire, modelling|
|04 Dec 2014||Challenges in physics based bushfire modelling||885.16 KB (885.16 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||Fire spread across fuel types||3.44 MB (3.44 MB)||fire impacts, fuel reduction, modelling|
|25 Oct 2016||Next generation fire modelling||1.35 MB (1.35 MB)||fire impacts, fire severity, fire weather|
Bushfires occur on a scale that may be measured in kilometers. However, a challenge faced in developing next generation bushfire models is to capture the significant contributions that small scale phenomena make to the propagation of bushfires.
A simple model of flow through a tree canopy and comparison with large-eddy simulations.
Firebrands are burning pieces of, for example, bark, leaf litter, and twigs. Firebrands can be transported by wind from metres to kilometres from the head fire. Firebrands are responsible for causing spot fires during the spread of bushfire. Firebrands are the primary factor in house loss during bushfire.
Operational fire models rely on wind reduction factors to relate the standard meteorological measured or forecast wind speed to the flame-height wind speeds within a tree canopy.
|Mapping bushfire hazard and impacts||Prof Albert van Dijk||Australian National University|
|Disaster landscape attribution: thermal anomaly surveillance and hazard mapping, data scaling and validation||Prof Simon Jones||RMIT University|
|Improved predictions of severe weather to reduce community impact||Dr Jeff Kepert||Bureau of Meteorology|
|Optimisation of fuel reduction burning regimes for fuel reduction, carbon, water and vegetation outcomes||Dr Tina Bell||University of Sydney|