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dc.date.accessioned 2018-10-16T17:39:35Z
dc.date.available 2018-10-16T17:39:35Z
dc.date.issued 2018
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/69918
dc.description.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. en
dc.format.extent 53-61 es
dc.language en es
dc.subject Forest Fire Simulation, GPGPU, High Performance Computing en
dc.subject prevención de desastres es
dc.subject simulación es
dc.title Fire propagation visualization in real time en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-1659-4 es
sedici.creator.person Waidelich, Sigfrido es
sedici.creator.person Laneri, Karina es
sedici.creator.person Denham, Mónica Malén es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2018-06
sedici.relation.event VI Jornadas de Cloud Computing & Big Data (JCC&BD) (La Plata, 2018) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/69464 es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/71659 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)