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 cause significant economic damage and have quite devastating effect on environment all over the world. Early fire detection and quick and appropriate intervention are of vital importance for wildfire damage minimization. In both cases, video-monitoring system could be quite useful. In this paper, after a short survey of various approaches to the wildfire monitoring, particularly to te...

Applying wildfire risk assessment models can inform investments in loss mitigation and landscape restoration, and can be used to monitor spatiotemporal trends in risk. Assessing wildfire risk entails the integration of fire modeling outputs, maps of highly valued resources and assets (HVRAs), characterization of fire effects, and articulation of relative importance across HVRAs. Quantifying and...

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 ...

This paper presents performance results from work done on Sun’s WildFire system. WildFire is a codename for a prototype shared memory multiprocessor developed by Sun MicrosystemsTM consisting of up to four unmodified Sun EnterpriseTM x000 series symmetric multiprocessors (SMPs). A goal of the WildFire system is to evaluate the effectiveness of leveraging large SMPs in the construction of even l...

Wildfire management in the wildland-urban interface (WUI) protects property and life from wildland fire. One approach that has potential to provide information about the amount and location of fuels to forest managers and, at the same time, increase public knowledge and engagement in reducing wildfire threats is public participation in scientific research (PPSR)—also known as citizen science—wh...

BACKGROUND Cardiovascular health effects of fine particulate matter (PM2.5) exposure from wildfire smoke are neither definitive nor consistent with PM2.5 from other air pollution sources. Non-comparability among wildfire health studies limits research conclusions. METHODS We examined cardiovascular and respiratory health outcomes related to peat wildfire smoke exposure in a population where s...

BACKGROUND Wildfire activity is predicted to increase in many parts of the world due to changes in temperature and precipitation patterns from global climate change. Wildfire smoke contains numerous hazardous air pollutants and many studies have documented population health effects from this exposure. OBJECTIVES We aimed to assess the evidence of health effects from exposure to wildfire smoke...

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...

Forests in the United States generate many non-market benefits for society that can be enhanced and diminished by wildfire and wildfire management. The Federal Wildland Fire Management Policy (1995, updated 2001), and subsequent Guidance to the Implementation of that policy provided in 2009, require fire management priorities be set on the basis of values to be protected (including natural and ...