Fire Weather assessment and visualization
- Autores
- Waidelich, Sigfrido; Zimmerman, Viviana; Laneri, Karina; Denham, Mónica M.
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Fil: Waidelich, Sigfrido. Universidad Nacional de Río Negro. Laboratorio de Procesamiento de Señales Aplicado y Computación de Alto Rendimiento; Argentina
Fil: Zimmerman, Viviana. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina.
Fil: Laneri, Karina. Centro Atómico Bariloche, Física Estadística e Interdisciplinaria; Argentina
Fil: Denham, Mönica M. Universidad Nacional de Río Negro. Laboratorio de Procesamiento de Señales Aplicado y Computación de Alto Rendimiento; Argentina
Fil: Laneri, Karina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Denham, Mönica M. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
The Fire Weather Index (FWI) is extensively used in Argentina to support operative preventive measures for forest fires management. This index describes the moisture content of three different fuel types and the effect of the wind in the behaviour of fire. During last years our team developed a wildfire simulator with several functionalities requested by firefighters. In this work we report the spatial visualization of the FWI on our simulator, in order to describe the dependence of forest fire risks on FWI and fuel type of Northwest Patagonian forests in Argentina. This additional functionality allows the user to visualize the local spatial configuration of fire risk. The potential of this tool is that it would provide the FWI to be readily used in all fire stations in Argentina. Moreover, it could be taken as input information of a fire propagation model under development. In this sense, the need of modelling the impact of weather on the fuel becomes essential for the accuracy of forest fire simulations. - Materia
-
Ingeniería, Ciencia y Tecnología
Fire Weather Index
Forest Fire Simulation
GPGPU
Ingeniería, Ciencia y Tecnología - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de Río Negro
- OAI Identificador
- oai:rid.unrn.edu.ar:20.500.12049/4510
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Fire Weather assessment and visualizationWaidelich, SigfridoZimmerman, VivianaLaneri, KarinaDenham, Mónica M.Ingeniería, Ciencia y TecnologíaFire Weather IndexForest Fire SimulationGPGPUIngeniería, Ciencia y TecnologíaFil: Waidelich, Sigfrido. Universidad Nacional de Río Negro. Laboratorio de Procesamiento de Señales Aplicado y Computación de Alto Rendimiento; ArgentinaFil: Zimmerman, Viviana. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina.Fil: Laneri, Karina. Centro Atómico Bariloche, Física Estadística e Interdisciplinaria; ArgentinaFil: Denham, Mönica M. Universidad Nacional de Río Negro. Laboratorio de Procesamiento de Señales Aplicado y Computación de Alto Rendimiento; ArgentinaFil: Laneri, Karina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Denham, Mönica M. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaThe Fire Weather Index (FWI) is extensively used in Argentina to support operative preventive measures for forest fires management. This index describes the moisture content of three different fuel types and the effect of the wind in the behaviour of fire. During last years our team developed a wildfire simulator with several functionalities requested by firefighters. In this work we report the spatial visualization of the FWI on our simulator, in order to describe the dependence of forest fire risks on FWI and fuel type of Northwest Patagonian forests in Argentina. This additional functionality allows the user to visualize the local spatial configuration of fire risk. The potential of this tool is that it would provide the FWI to be readily used in all fire stations in Argentina. Moreover, it could be taken as input information of a fire propagation model under development. In this sense, the need of modelling the impact of weather on the fuel becomes essential for the accuracy of forest fire simulations.2019-10-15info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/90905https://rid.unrn.edu.ar/jspui/handle/20.500.12049/4510engXXV Congreso Argentino de Ciencias de la Computación (CACIC), Universidad Nacional de Río Cuartohttp://sedici.unlp.edu.ar/handle/10915/90905info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/reponame:RID-UNRN (UNRN)instname:Universidad Nacional de Río Negro2025-10-16T10:06:06Zoai:rid.unrn.edu.ar:20.500.12049/4510instacron:UNRNInstitucionalhttps://rid.unrn.edu.ar/jspui/Universidad públicaNo correspondehttps://rid.unrn.edu.ar/oai/snrdrid@unrn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:43692025-10-16 10:06:06.902RID-UNRN (UNRN) - Universidad Nacional de Río Negrofalse |
| dc.title.none.fl_str_mv |
Fire Weather assessment and visualization |
| title |
Fire Weather assessment and visualization |
| spellingShingle |
Fire Weather assessment and visualization Waidelich, Sigfrido Ingeniería, Ciencia y Tecnología Fire Weather Index Forest Fire Simulation GPGPU Ingeniería, Ciencia y Tecnología |
| title_short |
Fire Weather assessment and visualization |
| title_full |
Fire Weather assessment and visualization |
| title_fullStr |
Fire Weather assessment and visualization |
| title_full_unstemmed |
Fire Weather assessment and visualization |
| title_sort |
Fire Weather assessment and visualization |
| dc.creator.none.fl_str_mv |
Waidelich, Sigfrido Zimmerman, Viviana Laneri, Karina Denham, Mónica M. |
| author |
Waidelich, Sigfrido |
| author_facet |
Waidelich, Sigfrido Zimmerman, Viviana Laneri, Karina Denham, Mónica M. |
| author_role |
author |
| author2 |
Zimmerman, Viviana Laneri, Karina Denham, Mónica M. |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Ingeniería, Ciencia y Tecnología Fire Weather Index Forest Fire Simulation GPGPU Ingeniería, Ciencia y Tecnología |
| topic |
Ingeniería, Ciencia y Tecnología Fire Weather Index Forest Fire Simulation GPGPU Ingeniería, Ciencia y Tecnología |
| dc.description.none.fl_txt_mv |
Fil: Waidelich, Sigfrido. Universidad Nacional de Río Negro. Laboratorio de Procesamiento de Señales Aplicado y Computación de Alto Rendimiento; Argentina Fil: Zimmerman, Viviana. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina. Fil: Laneri, Karina. Centro Atómico Bariloche, Física Estadística e Interdisciplinaria; Argentina Fil: Denham, Mönica M. Universidad Nacional de Río Negro. Laboratorio de Procesamiento de Señales Aplicado y Computación de Alto Rendimiento; Argentina Fil: Laneri, Karina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Denham, Mönica M. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina The Fire Weather Index (FWI) is extensively used in Argentina to support operative preventive measures for forest fires management. This index describes the moisture content of three different fuel types and the effect of the wind in the behaviour of fire. During last years our team developed a wildfire simulator with several functionalities requested by firefighters. In this work we report the spatial visualization of the FWI on our simulator, in order to describe the dependence of forest fire risks on FWI and fuel type of Northwest Patagonian forests in Argentina. This additional functionality allows the user to visualize the local spatial configuration of fire risk. The potential of this tool is that it would provide the FWI to be readily used in all fire stations in Argentina. Moreover, it could be taken as input information of a fire propagation model under development. In this sense, the need of modelling the impact of weather on the fuel becomes essential for the accuracy of forest fire simulations. |
| description |
Fil: Waidelich, Sigfrido. Universidad Nacional de Río Negro. Laboratorio de Procesamiento de Señales Aplicado y Computación de Alto Rendimiento; Argentina |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019-10-15 |
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info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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http://sedici.unlp.edu.ar/handle/10915/90905 https://rid.unrn.edu.ar/jspui/handle/20.500.12049/4510 |
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http://sedici.unlp.edu.ar/handle/10915/90905 https://rid.unrn.edu.ar/jspui/handle/20.500.12049/4510 |
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eng |
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eng |
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XXV Congreso Argentino de Ciencias de la Computación (CACIC), Universidad Nacional de Río Cuarto http://sedici.unlp.edu.ar/handle/10915/90905 |
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