This document introduces a simulation-optimization approach to design strategic fuelbreaks that protect the fire-prone forest landscapes of Alberta, Canada. By conceptualizing the forest as a fuel network graph, the authors use spatial fire growth mo...
This document introduces a simulation-optimization approach to design strategic fuelbreaks that protect the fire-prone forest landscapes of Alberta, Canada. By conceptualizing the forest as a fuel network graph, the authors use spatial fire growth models to map fireplains, which represent the potential directions and likelihoods of wildfire transmission between different locations. The study compares various mathematical strategies, specifically the Critical Node Detection Problem and the Critical Edge Removal Problem, to determine the most effective way to compartmentalize the landscape into isolated segments. Unlike traditional methods that only look at local hazard levels, these network-based models successfully prevent major fire spread corridors and disrupt connectivity along prevailing wind paths. This document provides a robust framework for managers to prioritize wildfire risk mitigation under limited budgets.
