Parameter Estimation for the Forest Fire Propagation Model

Martin Ambroz, Karol Mikula, Marek Fraštia, Marián Marčiš
2020 Tatra Mountains Mathematical Publications  
AbstractThis paper first gives a brief overview of the Lagrangian forest fire propagation model [Ambroz, M.—Balažovjech, M.—Medl'a, M.—Mikula, K.: Numerical modeling of wildland surface fire propagation by evolving surface curves, Adv. Comput. Math. 45 (2019), no. 2, 1067–1103], which we apply to grass-field areas. Then, we aim to estimate the optimal model parameters. To achieve this goal, we use data assimilation of the measured data. From the data, we are able to estimate the normal velocity
more » ... of the fire front (rate of spread), dominant wind direction and selected model parameters. In the data assimilation process, we use the Hausdorff distance as well as the Mean Hausdorff distance as a criterion. Moreover, we predict the fire propagation in small time intervals.
doi:10.2478/tmmp-2020-0001 fatcat:46rhbnnvo5fyjnmtl7irubn37i