Locating fuel breaks to minimise the risk of impact of wild fire

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R. Piskac c/o Redaktion Sun SITE Informatik V RWTH Aachen
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In order to respond the question “Where to locate fuel breaks?”, a peculiar location model is presented involving stochastic mixed integer nonlinear optimization, Bayesian networks and directional statistic inference. From a first simple approximation to the large model, will be shown what motivates follow models and its complexity incorporated. Also, a case study with real data about Corsica region is presented.
En: G. Di Stefano, A. Navarra Editors: Proceedings of the GEOSAFE Workshop on Robust Solutions for Fire Fighting L'Aquila, Italy, July 19-20, 2018.
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