Abstract. The BehavePlus FireModeling System is among the most widely used systems for wildland fire prediction. It is designed for use in a range of tasks including wildfire behaviour prediction, prescribed fire planning, fire investigation, fuel hazard assessment, fire model understanding, communication and research. BehavePlus is based on mathematical models for fire behaviour, fire effects and fire environment. It is a point system for which conditions are constant for each calculation, but is designed to encourage examination of the effect of a range of conditions through tables and graphs. BehavePlus is successor to BEHAVE, which was developed in 1977 and became available for field application in 1984. It was updated to BehavePlus in ...
Land managers are increasingly implementing strategies that employ the use of fire in prescribed bur...
Simulation frameworks are necessary to facilitate decision-making to many fire agencies. An accurate...
We describe the development of a model system for the prediction over the full range in fire behavio...
Use of mathematical fire models to predict fire behavior and fire effects plays an important support...
This manual documents the fuel modeling procedures of BEHAVE - a state-of-the-art wildland fire beha...
This manual documents the fuel modeling procedures of BEHAVE - a state-of-the-art wildland fire beha...
Wildland fire occurrence and behavior are complex phenomena involving essentially fuel (vegetation),...
This project was conducted in response to the need identified under Task 1 (RFP 2005-4)—extension of...
This paper discusses the current capabilities of zone fire modeling. CFAST is used as the example, b...
Fire modelling for assess the impact of fires and the effectiveness of fire safety measures for buil...
This project undertook a survey of the fire behaviour knowledge currently used by operational fire b...
There is presently no wildfire model developed for Swedish conditions, only a fire danger rating sys...
There is presently no wildfire model developed for Swedish conditions, only a fire danger rating sys...
There is an urgent need for next-generation smoke research and forecasting (SRF) systems to meet the...
Describes BURN subsystem, Part 1, the operational fire behavior prediction subsystem of the BEHAVE f...
Land managers are increasingly implementing strategies that employ the use of fire in prescribed bur...
Simulation frameworks are necessary to facilitate decision-making to many fire agencies. An accurate...
We describe the development of a model system for the prediction over the full range in fire behavio...
Use of mathematical fire models to predict fire behavior and fire effects plays an important support...
This manual documents the fuel modeling procedures of BEHAVE - a state-of-the-art wildland fire beha...
This manual documents the fuel modeling procedures of BEHAVE - a state-of-the-art wildland fire beha...
Wildland fire occurrence and behavior are complex phenomena involving essentially fuel (vegetation),...
This project was conducted in response to the need identified under Task 1 (RFP 2005-4)—extension of...
This paper discusses the current capabilities of zone fire modeling. CFAST is used as the example, b...
Fire modelling for assess the impact of fires and the effectiveness of fire safety measures for buil...
This project undertook a survey of the fire behaviour knowledge currently used by operational fire b...
There is presently no wildfire model developed for Swedish conditions, only a fire danger rating sys...
There is presently no wildfire model developed for Swedish conditions, only a fire danger rating sys...
There is an urgent need for next-generation smoke research and forecasting (SRF) systems to meet the...
Describes BURN subsystem, Part 1, the operational fire behavior prediction subsystem of the BEHAVE f...
Land managers are increasingly implementing strategies that employ the use of fire in prescribed bur...
Simulation frameworks are necessary to facilitate decision-making to many fire agencies. An accurate...
We describe the development of a model system for the prediction over the full range in fire behavio...