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2008 11th IEEE International Conference on Computational Science and Engineering
An Adaptive System for Forest Fire Behavior Prediction
July 16-July 18
ISBN: 978-0-7695-3193-9
ASCII Text
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Roque Rodriguez, Ana Cort?, Tom? Margalef, Emilio Luque, "An Adaptive System for Forest Fire Behavior Prediction," Computational Science and Engineering, IEEE International Conference on, pp. 275-282, 2008 11th IEEE International Conference on Computational Science and Engineering, 2008.
 
 
BibTex
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@article{ 10.1109/CSE.2008.15,
author = {Roque Rodriguez and Ana Cort? and Tom? Margalef and Emilio Luque},
title = {An Adaptive System for Forest Fire Behavior Prediction},
journal ={Computational Science and Engineering, IEEE International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3193-9},
pages = {275-282},
doi = {http://doi.ieeecomputersociety.org/10.1109/CSE.2008.15},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computational Science and Engineering, IEEE International Conference on
TI - An Adaptive System for Forest Fire Behavior Prediction
SN - 978-0-7695-3193-9
SP275
EP282
A1 - Roque Rodriguez,
A1 - Ana Cort?,
A1 - Tom? Margalef,
A1 - Emilio Luque,
PY - 2008
KW - Parallel computing
KW - Forest fire prediction
KW - Parallel simulation
KW - High performance computing
KW - Evolutionary computing
KW - Dynamic Data Driven Application System
VL - 0
JA - Computational Science and Engineering, IEEE International Conference on
ER -
 
In this paper, we propose a combination of two Dynamic Data Driven Application System (DDDAS) methodologies to predict wildfires’ 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.
Index Terms:
Parallel computing, Forest fire prediction, Parallel simulation, High performance computing, Evolutionary computing, Dynamic Data Driven Application System
Citation:
Roque Rodriguez, Ana Cort?, Tom? Margalef, Emilio Luque, "An Adaptive System for Forest Fire Behavior Prediction," cse, pp.275-282, 2008 11th IEEE International Conference on Computational Science and Engineering, 2008
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