Abstract Suppose a ‘fire’ breaks out in the digital realm. Which fire brigade would we call? Do sufficiently understand vulnerabilities? What should prioritize our fire-fighting efforts? powers do authorities have to minimize number of victims and limit damage? Are their commensurate for world? These questions take on renewed urgency when question is not limited domain but, left unchecked, has ...

Large recent fires in the western U.S. have contributed to a perception that fire exclusion has caused an unprecedented occurrence of uncharacteristically severe fires, particularly in lower elevation dry pine forests. In the absence of long-term fire severity records, it is unknown how short-term trends compare to fire severity prior to 20th century fire exclusion. This study compares historic...

Developing a predictive model for forest fires occurrence is an important activity in a fire prevention program. The model describes characteristics of areas where fires occur based on past fires data. It is essential as an early warning system for preventing forest fires, thus major damages because of fires can be avoided. This study describes the application of data mining technique namely de...

BACKGROUND Anthropogenic uses of fire play a key role in regulating fire regimes in African savannas. These fires contribute the highest proportion of the globally burned area, substantial biomass burning emissions and threaten maintenance and enhancement of carbon stocks. An understanding of fire regimes at local scales is required for the estimation and prediction of the contribution of these...

[1] During the summer of 2004, extensive wildfires burned in Alaska and western Canada; the fires were the largest on record for Alaska. Smoke from these fires was observed over the continental United States in satellite images, and a variety of chemical tracers associated with the fires were sampled by aircrafts deployed during the International Consortium for Atmospheric Research on Transport...

OBJECTIVE To identify the predictors of residential fire deaths in the Ontario pediatric population using systematically collected data from the Office of the Chief Coroner. DESIGN Retrospective cohort study. SETTING Ontario. PARTICIPANTS Children younger than 16 years of age who died in accidental residential fires in Ontario between January 1, 2001, and December 31, 2006. MAIN OUTCOME...