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61	Developing a 2D Forest Fire Spread Simulation for Enhanced Decision-Making During Catastrophes in Sweden Gauffin Dahlin, David January 2024 (has links) This thesis presents the development and evaluation of a 2D simulation model designed to predict the spread and behavior of forest fires, with a specific focus on Swedish forest ecosystems. Despite the model's simplicity and inherent limitations due to assumptions such as homogeneity in fuel distribution and the exclusion of topographical influences, the simulations yield remarkably accurate predictions of fire spread and intensity. The model integrates basic meteorological data (wind speed and direction, temperature) and uses a discretized spatial approach to simulate the dynamics of forest fires. Initial results suggest that even with minimal input variables and broad assumptions, the model offers significant predictive capabilities, highlighting potential areas for future refinement. Key aspects such as the interaction between conduction and advection terms, the role of water vaporization in fire dynamics, and the influence of wind on fire propagation are discussed. The findings encourage further development of the model, aiming at incorporating more complex variables such as topography and more forest fuels, potentially enhancing its utility in real-time fire management and decision-making processes. Forest Fire Simulation 2D Fire Spread Model Heat Transfer in Forest Fires Cellular Automata Wildfire Behavior Meteorological Data in Fire Modeling Fire Dynamics Fire Management Decision-Making Forest Ecosystems Sweden Wildfire Study Computational Fire Models Advection and Conduction in Fires Water Vaporization in Wildfires Fire Induced Weather Patterns Fire Spread Prediction Real-time Fire Management Environmental Impact of Forest Fires Empirical Data for Fire Simulation Firefighter Interventions Stochastic Wind Modeling Mathematics Matematik

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Developing a 2D Forest Fire Spread Simulation for Enhanced Decision-Making During Catastrophes in Sweden