F. Alvelos, I. Martins
We integrate suppression planning into a simulation-based optimization framework for forest management. Forest management is iteratively guided by feedback from fire spread simulations and the optimization of firefighting resource base locations.
The approach employs mixed integer programming to solve the forest management problem and optimize the distribution of firefighting bases. It uses shortest path algorithms to assess fire potential by identifying high-risk paths that could lead to unacceptable fire spread. If such paths are detected, the algorithm adjusts the constraints of the forestry model and re-optimizes both forest management and firefighting base placement. This iterative process continues until no unacceptable fire paths are found. Fire paths are obtained by representing the forest as a network. To model potential base locations, a resource network is also defined. We present computational experiments conducted in a Portuguese forest to test this approach.
Palabras clave: forestry, wildfire, mixed integer programming
Programado
APDIO-SEIO
11 de junio de 2025 10:30
Sala VIP Jaume Morera i Galícia