Forest fire propagation prediction based on overlapping DDDAS forecasts

Artès, Tomás; Cardil Forradellas, Adrián; Cortés, Ana; Margalef, Tomàs; Molina Terrén, Domingo; Pelegrín, Lucas; Ramírez, Joaquín

doi:https://doi.org/10.1016/j.procs.2015.05.294

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Issue date

2015

Author

Artès, Tomás

Cardil Forradellas, Adrián

Cortés, Ana

Margalef, Tomàs

Molina Terrén, Domingo

Pelegrín, Lucas

Ramírez, Joaquín

Suggested citation

Artès, Tomás; Cardil Forradellas, Adrián; Cortés, Ana; Margalef, Tomàs; Molina Terrén, Domingo; Pelegrín, Lucas; Ramírez, Joaquín; . (2015) . Forest fire propagation prediction based on overlapping DDDAS forecasts. Procedia Computer Science, 2015, vol. 51, p. 1623-1632. https://doi.org/10.1016/j.procs.2015.05.294.

Abstract

Forest fire devastate every year thousand of hectares of forest around the world. Fire behavior prediction is a useful tool to aid coordination and management of human and mitigation resources when fighting against these kind of hazards. Any fire spread forecast system requires to be fitted with different kind of data with a high degree of uncertainty, such as for example, me- teorological data and vegetation map among others. The dynamics of this kind of phenomena requires to develop a forecast system with the ability to adapt to changing conditions. In this work two different fire spread forecast systems based on the Dynamic Data Driven Application paradigm are applied and an alternative approach based on the combination of both predictions is presented. This new method uses the computational power provided by high performance computing systems to deliver the predictions under strict real time constraints.

Note

International Conference on Computational Science, ICCS 2015 – Computational Science at the Gates of Nature

URI

http://hdl.handle.net/10459.1/57928

DOI

https://doi.org/10.1016/j.procs.2015.05.294

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Procedia Computer Science, 2015, vol. 51, p. 1623-1632

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Except where otherwise noted, this item's license is described as cc-by-nc-nd (c) Artès et al., 2016