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dc.contributor.authorDenham, Mónica-
dc.contributor.authorWaidelich, Sigfrido-
dc.contributor.authorLaneri, Karina-
dc.date.accessioned2022-10-28T15:04:34Z-
dc.date.available2022-10-28T15:04:34Z-
dc.date.issued2022-12-
dc.identifier.citationDenham, M. M., Waidelich, S., & Laneri, K. (2022). Visualization and modeling of forest fire propagation in Patagonia. Environmental Modelling & Software; 158; 105526. https://doi.org/10.1016/j.envsoft.2022.105526es_ES
dc.identifier.issn1364-8152es_ES
dc.identifier.otherhttps://www.sciencedirect.com/science/article/pii/S1364815222002262?via%3Dihub-
dc.identifier.urihttp://rid.unrn.edu.ar/handle/20.500.12049/9237-
dc.description.abstractFire propagation is a big concern all over the world. Visualization is a valuable tool to test possible different scenarios for fire spread, specially for designing strategies for fire control, mitigation and management. We present a parallel High-Performance Computing (HPC) forest fire simulator with an interactive and intuitive user interface that offers several functionalities to the user. The visualization interface allows to choose the propagation model of preference, the scenario of interest, as well as numerous simulation features including firebreaks and ignition points. We show some of the outputs for two different mathematical models for fire spreading. The simulator was developed with an open source philosophy in the framework of Faster Than Real Time (FTRT) applications thinking on its possible use in the field during a forest fire propagation. It can be run in Linux (Ubuntu) and Windows Operating Systems and for portability purposes the simulator was also implemented on a NVIDIA Jetson Nano.es_ES
dc.format.extentp. 105526es_ES
dc.language.isoenes_ES
dc.publisherELSEVIERes_ES
dc.relation.urihttps://www.sciencedirect.com/journal/environmental-modelling-and-softwarees_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.titleVisualization and modeling of forest fire propagation in Patagoniaes_ES
dc.typeArticuloes_ES
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-ND 4.0)-
dc.description.filiationLaneri, Karina. CONICET. Centro Atómico Bariloche. Río Negro, Argentina.es_ES
dc.description.filiationWaidelich, Sigfrido. Universidad Nacional de Río Negro. Centro Interdisciplinario de Telecomunicaciones, Electrónica, Computación y Ciencia Aplicada. Río Negro, Argentina.es_ES
dc.description.filiationDenham, Mónica. Universidad Nacional de Río Negro. Centro Interdisciplinario de Telecomunicaciones, Electrónica, Computación y Ciencia Aplicada. Río Negro, Argentina. CONICETes_ES
dc.subject.keywordSimulationes_ES
dc.subject.keywordModelinges_ES
dc.subject.keywordForest fire behaviores_ES
dc.subject.keywordHigh-performance computinges_ES
dc.subject.keywordGPGPUes_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_ES
dc.subject.materiaIngenierías, Ciencia y Teconologías (general)es_ES
dc.origin.lugarDesarrolloUniversidad Nacional de Río Negro. CONICET. Centro Atómico Barilochees_ES
dc.relation.journalissue158es_ES
dc.description.reviewtruees_ES
dc.description.resumenFire propagation is a big concern all over the world. Visualization is a valuable tool to test possible different scenarios for fire spread, specially for designing strategies for fire control, mitigation and management. We present a parallel High-Performance Computing (HPC) forest fire simulator with an interactive and intuitive user interface that offers several functionalities to the user. The visualization interface allows to choose the propagation model of preference, the scenario of interest, as well as numerous simulation features including firebreaks and ignition points. We show some of the outputs for two different mathematical models for fire spreading. The simulator was developed with an open source philosophy in the framework of Faster Than Real Time (FTRT) applications thinking on its possible use in the field during a forest fire propagation. It can be run in Linux (Ubuntu) and Windows Operating Systems and for portability purposes the simulator was also implemented on a NVIDIA Jetson Nano.es_ES
dc.identifier.doihttps://doi.org/10.1016/j.envsoft.2022.105526-
dc.relation.journalTitleJournal of Environmental Modelling and Softwarees_ES
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