Abstract
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.
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Acknowledgements
This work has been partially supported by the Conserjería de Educación (Department of Education) of the regional government, the Junta de Castilla y León (SA020U16), by the University of Salamanca General Foundation (TCUE Grant and Prototransfer) both with the participation of ERDF, and by Fundación Universidades y Enseñanzas Superiores de Castilla y León through the University Nursery Business Promoters’ first award in 2018.
G. Pagnini is supported by the Basque Government through the BERC 2018–2021 program and by Spanish Ministry of Economy and Competitiveness MINECO through BCAM Severo Ochoa excellence accreditation SEV-2017-0718 and through project MTM16-76016-R MIP.
We thank the ICIAM2019 organization for the opportunity to disclose the modelling of environmental issues and highlight the role of Applied Mathematics in improving the environment through the mini-symposium specifically dedicated to environmental problems.
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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
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DOI: https://doi.org/10.1007/978-3-030-61795-0_1
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