Dynamic Data Driven Application for Forest Fire Spread Prediction

Authors

  • Mónica Malén Denham

Abstract

This work describes a two stages prediction method for wildland fire growth prediction. Proposed method takes advantege of genetic algorithms in order to develope a high performance and scalable application.

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References

[1] Bevins C., ”FireLib User Manual and Technical Reference”. http://www.re.org/downloads/fireLib/1.0.4/relib.pdf. Acceded on January 2006.
[2] Darema, F. ”Dynamic Data Driven Applications Systems: A New Paradigm for Application Simulations and Measurements.” ICCS 2004, LNCS 3038, Springer Berlin / Heidelberg, pp. 662-669.
[3] Rothermel R., ”A mathematical model for predicting re spread in wildland fuels”. USDA FS, Ogden TU, Res. Pap. INT-115, 1972.

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Published

2012-08-01

How to Cite

Denham, M. M. (2012). Dynamic Data Driven Application for Forest Fire Spread Prediction. Journal of Computer Science and Technology, 12(02), p. 84–86. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/658

Issue

Vol. 12 No. 02 (2012): Thirty-Third Issue

Section

Thesis Overview

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Copyright and Licensing

Articles accepted for publication will be licensed under the Creative Commons BY-NC-SA. Authors must sign a non-exclusive distribution agreement after article acceptance.