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Título: | Fire propagation visualization in real time |
Otros títulos: | Visualización de la Propagación del Fuego en Incendios Forestales en Tiempo Real |
Autor(es): | Waidelich, Sigfrido Laneri, Karina Denham, Mónica M. |
Fecha de publicación: | 12-dic-2018 |
Editorial: | Facultad de Informática, Universidad Nacional de La Plata |
Citación: | Denham, Mónica., Waidelich, Sigfrido & Laneri, Karina. (2018). Fire propagation visualization in real time. Journal of Computer Science and Technology; 18 (03); e27. |
Revista: | Journal of Computer Science & Technology |
Abstract: | Our motivation comes from the need of a tailored computational tool for simulation and prediction of forest fire propagation, to be used by firefighters in Patagonia, Argentina. Based on previous works on Graphic Processing Units (GPU) for fitting and simulating fires in our region, we developed a visualization interface for real time computing, simulation and prediction of fire propagation. We have the possibility of changing the ensemble of raster maps layers to change the region in which fire will propagate. The visualization platform runs on GPUs and the user can rotate and zoom the landscape to select the optimal view of fire propagation. Opacity of different layers can be regulated by the user, allowing to see fire propagation at the same time that underlying vegetation, wind direction and intensity. The ignition point can also be selected by the user, and firebreaks can be plotted while simulation is going on. After the performance of a high number of stochastic simulations in parallel in GPUs, the application shows a map of the final fire surface colored according to the probability that a given cell burns. In this way the user can visually identify the most critical direction for fire propagation, a useful information to stop fire optimizing resources, which is specially important when they are scarce like is the case of our Patagonia region. |
Resumen: | Our motivation comes from the need of a tailored computational tool for simulation and prediction of forest fire propagation, to be used by firefighters in Patagonia, Argentina. Based on previous works on Graphic Processing Units (GPU) for fitting and simulating fires in our region, we developed a visualization interface for real time computing, simulation and prediction of fire propagation. We have the possibility of changing the ensemble of raster maps layers to change the region in which fire will propagate. The visualization platform runs on GPUs and the user can rotate and zoom the landscape to select the optimal view of fire propagation. Opacity of different layers can be regulated by the user, allowing to see fire propagation at the same time that underlying vegetation, wind direction and intensity. The ignition point can also be selected by the user, and firebreaks can be plotted while simulation is going on. After the performance of a high number of stochastic simulations in parallel in GPUs, the application shows a map of the final fire surface colored according to the probability that a given cell burns. In this way the user can visually identify the most critical direction for fire propagation, a useful information to stop fire optimizing resources, which is specially important when they are scarce like is the case of our Patagonia region. |
URI: | https://journal.info.unlp.edu.ar/JCST/article/view/1102 https://rid.unrn.edu.ar/jspui/handle/20.500.12049/4234 |
Identificador DOI: | https://doi.org/10.24215/16666038.18.e27 |
ISSN: | 1666-6046 1666-6038 |
Aparece en las colecciones: | Artículos |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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1102-Article Text-2538-1-10-20181212.pdf | 1,72 MB | Adobe PDF | Visualizar/Abrir |
Este documento es resultado del financiamiento otorgado por el Estado Nacional, por lo tanto queda sujeto al cumplimiento de la Ley N° 26.899
Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.