A Computational System for the Heuristic Forecasting of Fire Risk

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Título:	A Computational System for the Heuristic Forecasting of Fire Risk
Autor:	Cabrero-Canosa, Mariano; Mosqueira-Rey, Eduardo; Moret-Bonillo, Vicente; Carballo, E.; Piñeiro, M.; Kolev, S.; Galiñares, A. V.; Paz-Andrade, M. J.; Carballas, Tarsy CSIC ORCID
Palabras clave:	Fire risk forecasting Heuristics Artificial intelligence
Fecha de publicación:	jul-2002
Editor:	International Institute of Informatics and Systemics
Citación:	6th World Multiconference on Systemics, Cybernetics and Informatics and 8th International Conference on Information System Analysis and Synthesis (SCI/ISAS 2002) ; 001410
Resumen:	This article describes a computational system which forecasts the potential risk of forest fires, by processing a set of meteorological variables so as to produce a fire weather risk index. The system also studies a set of area characteristics, which provides us with long-term static information on potential fire risk. This area-specific information constitutes the interpretation context and can be used to refine the results computed from the weather index.
Descripción:	5 pages, 5 figures.-- Communication presented at the 6th World Multiconference on Systemics, Cybernetics and Informatics and 8th International Conference on Information System Analysis and Synthesis (SCI/ISAS 2002, Orlando, Florida, Jul 14-18, 2002).
URI:	http://hdl.handle.net/10261/8882
ISBN:	980-07-8150-1
Aparece en las colecciones:	(IIAG) Comunicaciones congresos