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Forest Fire Simulation Using PDE & ABM

Implementations of the forest fire model with PDE & ABM methods:

  1. PDE: Partial Differential Equation
  2. ABM: Agent-Based Modeling

Directory Structure

All the files are located in the 'Project/' directory. The overall structure is the following:

  • 'Project/CSE_6730_FinalReport.pdf' is the written proposal for this project.
  • 'Project/PDE/Final Version/forest_fire_PDE_final_version.ipynb': Shows the model and results in a notebook. (It generates Figures 4, 5, 6, 7 inthe Final Report)
  • 'Project/PDE/Final Version/forest_fire_PDE_final_version_for_results_analysis.ipynb': Shows the model and results in a notebook. (It generates Figure 9, 11, and Table 1 in the Final Report)

Running PDE

The main script is 'PDE/Final Version/forest_fire_PDE_final_version.ipynb', and you can run it in Jupyter Notebook.

Running ABM

The main script is 'ABM/ABM.ipynb', and you can run it in Jupyter Notebook.

Contributors

  1. Srikanth Avasarala: srikanth.june21@gmail.com
  2. Xiaodong An: xan37@gatech.edu
  3. Pranoy Ray: pranoyray64@gmail.com

This project was completed for the partial fulfillment of requirements for the CSE6730 course offered in Fall 2024

About

The simulation of forest fires using Partial Differential Equation (PDE) and Agent-Based Modeling (ABM) methods. The wildfire propagation dynamics and their interaction with environmental factors (e.g. temp., wind, humidity) are studied on actual data collected from 2018 in California.

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