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Database and Expert Systems Applications, 15th International Workshop on (DEXA'04)
Dynamic Resource Allocation For Forest Fire Risk Management
Zaragoza, Spain
August 30-September 03
ISBN: 0-7695-2195-9
Paolo Fiorucci, Universit? di Genova, Italy
Francesco Gaetani, Universit? di Genova, Italy
Riccardo Minciardi, Universit? di Genova, Italy
Roberto Sacil, Universit? di Genova, Italy
Eva Trasforini, Universit? di Genova, Italy
The occurrence of one or more simultaneous forest fires requires that decision makers are able to solve a complex problem of resources allocation to fight the fires. The efficiency of the emergency management system can be deeply affected by these decisions, which, in turn, are influenced by the predicted behavior of forest fires. In this paper, a methodology is introduced, based on system modeling and optimization, to manage resource allocation, for real time control of forest fires, over a regional area. While several studies have proposed different models of forest fire dynamics, a proper formalization related to the decision support aspect has not been so deeply investigated. In this work, a graph model and a mathematical formalization are introduced in order to describe the territory under consideration, and the dynamics of the detected fires. A specific case study in Liguria region (Italy) is presented, in order to highlight the feasibility of the proposed approach.
Paolo Fiorucci, Francesco Gaetani, Riccardo Minciardi, Roberto Sacil, Eva Trasforini, "Dynamic Resource Allocation For Forest Fire Risk Management," dexa, pp.603-607, Database and Expert Systems Applications, 15th International Workshop on (DEXA'04), 2004
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