Title :
An Adaptive System for Forest Fire Behavior Prediction
Author :
Rodriguez, Roque ; Cortes, Ana ; Margalef, Tomás ; Luque, Emilio
Author_Institution :
Dept. d´´ Arquitectura de Computadors i Sistemes Operatius, Univ. Autonoma de Barcelona, Barcelona
Abstract :
In this paper, we propose a combination of two dynamic data driven application system (DDDAS) methodologies to predict wildfirespsila propagation. Our goal is to build a system that dynamically adapts to constant changes in environmental conditions when a hazard occurs and under strict real-time deadlines. For this purpose, we are on the way of building a parallel wildfire prediction method, which is able to assimilate real-time data to be injected in the prediction process at execution time.
Keywords :
adaptive systems; data assimilation; disasters; environmental science computing; fires; forestry; hazards; parallel processing; real-time systems; adaptive system; dynamic data driven application system; environmental condition; forest fire behavior prediction; hazard; parallel computing; parallel wildfire prediction; real-time data assimilation; wildfire propagation prediction; Adaptive systems; Calibration; Computational modeling; Fires; High performance computing; Humidity; Predictive models; Real time systems; Surfaces; Wind speed; Dynamic Data Driven Application System; Evolutionary computing; Forest fire prediction; High performance computing; Parallel computing; Parallel simulation;
Conference_Titel :
Computational Science and Engineering, 2008. CSE '08. 11th IEEE International Conference on
Conference_Location :
Sao Paulo
Print_ISBN :
978-0-7695-3193-9
DOI :
10.1109/CSE.2008.15
