Abstract
The Two-Stage forest fire spread prediction methodology was developed to enhance forest fire evolution forecast by tackling the uncertainty of some environmental conditions. However, there are parameters, such as wind, that present a variation along terrain and time. In such cases, it is necessary to couple forest fire propagation models and complementary models, such as meteorological forecast and wind field models. This multi-model approach improves the accuracy of the predictions by introducing an overhead in the execution time. In this paper, different multi-model approaches are discussed and the results show that the propagation prediction is improved. Exploiting multi-core architectures of current processors, we can reduce the overhead introduced by complementary models.
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Acknowledgments
This research has been supported by MICINN-Spain TIN2011-28689-C02-01 and the Spanish Network CAPAP-H4(TIN2011-15734-E). The authors also would like to thank the WindNinja team, especially to Jason Forthofer.
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Brun, C., Margalef, T., Cortés, A. et al. Enhancing multi-model forest fire spread prediction by exploiting multi-core parallelism. J Supercomput 70, 721–732 (2014). https://doi.org/10.1007/s11227-014-1168-z
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DOI: https://doi.org/10.1007/s11227-014-1168-z