![]() ![]() Rothermel RC (1983) How to predict the spread and intensity of forest and range fires. ![]() Innocenti E, Santucci J, Hill DRC, Cnrs IUMR, Cedex A (2004) Active-DEVS: a computational model for the simulation of forest fire propagation * ![]() Retrieved from (Diptera_Culicidae)_larvae/file/9fcfd4ff51c851cff4.doc … of 7th symposium on fire and forest meteorology. Hu X, Ntaimo L (2009) Integrated simulation and optimization for wildfire containment. Syphard AD, Keeley JE, Brennan TJ (2011) Comparing the role of fuel breaks across southern California national forests. This process is experimental and the keywords may be updated as the learning algorithm improves.Īscoli D, Lonati M, Marzano R, Bovio G, Cavallero A, Lombardi G (2013) Prescribed burning and browsing to control tree encroachment in southern European heathlands. These keywords were added by machine and not by the authors. The short-term goal of the project is to help managers in making decisions about the number of extinguishing teams that should be deployed, the design of the water supply chain to bring water and other supplies to the firefighting teams, and the design of the change-of-shift transportation problem. FireFight uses the tooPath ( web server infrastructure to acquire the broadcasted real-time GPS position of approximately 1,650 land and aerial firefighting resources deployed across the territory. The main objective is the development of a web-accessible decision support system based on an integrated simulation and optimization framework for optimal wildfire containment. The FireFight project is being developed in collaboration with the GRAF wildland firefighting department (Generalitat de Catalunya, Spain). ![]()
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