Simulating wildfire spread and containment remains a challenging problem due to the complexity of fire behavior. In this paper, the authors present an integrated simulation environment for surface wildfire spread and containment called DEVS-FIRE. DEVS-FIRE is based on the discrete event system specification (DEVS) and uses a cellular space model for simulating wildfire spread and agent models f...

Wildfires have significant impact on both ecosystems and human society. To effectively manage wildfires, simulation models are used to study and predict wildfire spread. The accuracy of wildfire spread simulations depends on many factors, including GIS data, fuel data, weather data, and high-fidelity wildfire behavior models. Unfortunately, due to the dynamic and complex nature of wildfire, it ...

Wildfires have significant impact on both ecosystems and human society. To effectively manage wildfires, simulation models are used to study and predict wildfire spread. The accuracy of wildfire spread simulations depends on many factors, including GIS data, fuel data, weather data, and high-fidelity wildfire behavior models. Unfortunately, due to the dynamic and complex nature of wildfire, it ...

lack of fire behavior studies and the immediate needs posed by the extent of the fire problem in forests of iran require that extensive studies be conducted to develop models to predict fire behavior in the region.in this study, farsite fire area simulator was applied to simulate spread and behavior of two real fires that had occurred in northern forests of iran during 2010 summer and fall seas...

Modeling the heat released from a burning wildfire is essential to support coupled atmosphere-fire simulation. This paper presents post-frontal combustion heat modeling in the wildfire spread model of DEVS-FIRE. The developed heat model integrates features from both the BURNUP model and the heat model of WRF-Fire to compute the heat flux of wildfire. To model fuel consumption, it uses the BURNU...

For more than a century, government wildfire managers have aggressively suppressed wildfires within western U.S. forests. In that time, our understanding of the ecological benefits of wildfire has improved. Nevertheless, it has been politically difficult for managers to limit suppression effort, even for relatively non-threatening wildfires. As wildfires within the western U.S. become more freq...

Wildfire evacuation trigger points are agreed-upon prominent geographic features (e.g., ridges, rivers, and roads) used in wildfire evacuation practices, and when a fire crosses these features, an evacuation is recommended for the communities or firefighter crew in the path of the fire (Cook, 2003; Cova et al., 2005). Spatial modeling of wildfire evacuation triggers has used fire-spread modelin...

Data assimilation is an important technique to improve simulation results by assimilating real time sensor data into a simulation model. A data assimilation framework based on Sequential Monte Carlo (SMC) methods for wildfire spread simulation has been developed in previous work. This paper provides systematic analysis and measurement to quantify the effectiveness and robustness of the develope...

High-performance wildfire simulators allow the future location of a wildfire to be rapidly predicted. The accuracy of such simulators needs to be evaluated; this can be achieved by comparing simulated and observed spread for documented historical fires. A key issue relates to the accuracy of data obtained from historical fires, such as the time-varying fire location, fire-ground weather and acc...

Wildfire spread model output is used to make important and oftentimes expensive decisions. This thesis presents “VFire Virtual Fire in Realistic Environment” an application and more importantly a framework for visualizing wildfire simulations in immersive environments. VFire will allow its users to visualize wildfires from perspectives and positions, which are normally too dangerous. Recent dev...