2026-09-14T07:37:36Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1541712025-04-30T20:46:12Zcom_10366_138150com_10366_4512com_10366_3823col_10366_138151

Asensio Sevilla, María Isabel Ferragut Canals, Luis Álvarez León, David Laiz Alonso, Pablo Cascón Barbero, José Manuel Prieto Herráez, Diego Pagnini, Gianni 2024-01-12T10:26:10Z 2024-01-12T10:26:10Z 2021 Asensio, M.I. et al. (2021). PhyFire: An Online GIS-Integrated Wildfire Spread Simulation Tool Based on a Semiphysical Model. In: Asensio, M.I., Oliver, A., Sarrate, J. (eds) Applied Mathematics for Environmental Problems. SEMA SIMAI Springer Series(), vol 6. Springer, Cham. https://doi.org/10.1007/978-3-030-61795-0_1 2199-3041 http://hdl.handle.net/10366/154171 https://doi.org/10.1007/978-3-030-61795-0_1 2199-305X [EN]The PhyFire simplified physical wildfire spread model developed by the research group on Numerical Simulation and Scientific Computation at the University of Salamanca has been integrated into an online GIS interface in order to facilitate its use, automate the data input process, thereby reducing error and improving efficiency, and upgrade the graphical display of simulation results. The main features of the PhyFire model are presented: model equations, numerical solution and GIS integration. A description is provided of new advances in the PhyFire model related to the addition of random phenomena, such as fire-spotting. A real wildfire simulation with fire-spotting is also presented. application/pdf eng Springer SEMA SIMAI Springer Series book series (ICIAM2019SSSS); https://link.springer.com/chapter/10.1007/978-3-030-61795-0_1#Ack1 SA020U16 MTM16-76016-R MIP Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess PhyFire: An Online GIS-Integrated Wildfire Spread Simulation Tool Based on a Semiphysical Model info:eu-repo/semantics/article info:eu-repo/semantics/draft Applied Mathematics for Environmental Problems 6 1 20