RT Journal Article
T1 Locating fuel breaks to minimise the risk of impact of wild fire
A1 Rodríguez Martínez, Adán
A1 Vitoriano Villanueva, Begoña
A1 Leguey, Ignacio
A1 Damage, Marc
AB 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.
PB R. Piskac c/o Redaktion Sun SITE Informatik V RWTH Aachen
SN 1613-0073
YR 2018
FD 2018
LK https://hdl.handle.net/20.500.14352/19397
UL https://hdl.handle.net/20.500.14352/19397
LA eng
NO 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.
DS Docta Complutense
RD 8 abr 2025