Skip navigation
Por favor, use este identificador para citar o enlazar este ítem: http://rid.unrn.edu.ar/handle/20.500.12049/4234

Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorWaidelich, Sigfrido-
dc.contributor.authorLaneri, Karina-
dc.contributor.authorDenham, Mónica M.-
dc.date.accessioned2020-02-13T16:37:29Z-
dc.date.available2020-02-13T16:37:29Z-
dc.date.issued2018-12-12-
dc.identifier.citationDenham, Mónica., Waidelich, Sigfrido & Laneri, Karina. (2018). Fire propagation visualization in real time. Journal of Computer Science and Technology; 18 (03); e27.es_ES
dc.identifier.issn1666-6046es_ES
dc.identifier.issn1666-6038es_ES
dc.identifier.urihttps://journal.info.unlp.edu.ar/JCST/article/view/1102-
dc.identifier.urihttps://rid.unrn.edu.ar/jspui/handle/20.500.12049/4234-
dc.description.abstractOur 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.es_ES
dc.format.extentp. e27es_ES
dc.format.mediumimpresoes_ES
dc.format.mediumdigitales_ES
dc.language.isoenes_ES
dc.publisherFacultad de Informática, Universidad Nacional de La Plataes_ES
dc.titleFire propagation visualization in real timees_ES
dc.title.alternativeVisualización de la Propagación del Fuego en Incendios Forestales en Tiempo Reales_ES
dc.typeArticuloes_ES
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-sa/4.0/es_ES
dc.description.filiationFil: Waidelich, Sigfrido. Universidad Nacional de Río Negro. Laboratorio de Procesamiento de Señales Aplicado y Computación de Alto Rendimiento. Río Negro; Argentina.es_ES
dc.description.filiationFil: Denham, Mónica. Universidad Nacional de Río Negro. Laboratorio de Procesamiento de Señales Aplicado y Computación de Alto Rendimiento. Río Negro; Argentina.es_ES
dc.description.filiationFil: Denham, Mónica. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_ES
dc.description.filiationFil: Laneri, Karina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_ES
dc.description.filiationFil: Laneri, Karina. Centro Atómico Bariloche.Grupo de Física Estadística e Interdisciplinaria. Río Negro; Argentinaes_ES
dc.subject.keywordForest Fire Simulationes_ES
dc.subject.keywordGPGPUes_ES
dc.subject.keywordHigh Performance Computinges_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_ES
dc.subject.materiaIngeniería, Ciencia y Tecnologíaes_ES
dc.origin.lugarDesarrolloUniversidad Nacional de Río Negroes_ES
dc.origin.lugarDesarrolloCONICETes_ES
dc.relation.journalissue18 (3)es_ES
dc.description.reviewtruees_ES
dc.description.resumenOur 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.es_ES
dc.identifier.doihttps://doi.org/10.24215/16666038.18.e27-
dc.relation.journalTitleJournal of Computer Science & Technologyes_ES
Aparece en las colecciones: Artículos

Archivos en este ítem:
Archivo Descripción Tamaño Formato  
1102-Article Text-2538-1-10-20181212.pdf1,72 MBAdobe PDFVisualizar/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