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

fYear

2008

fDate

16-18 July 2008

Firstpage

275

Lastpage

282

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CSE.2008.15

Filename

4578243