Using cellular automata and multi-criteria evaluation to simulate the wildfire expansion in prince george, british co-lumbia

HIGHLIGHTS

• What: By simulating different fire scenarios the study aims to grasp the complexities and potential variables affecting wildfire behavior. To more accurately simulate the wind`s influence on the spread of wildfire, the model introduced modified scenarios by altering Rule 1, as specified earlier. For C, the area fire spread is much smaller than the real datasets, and it has a different fire expansion direction trend because this study implements a smaller neighborhood size and makes a new approach for simulating the wind direction. It demonstrates the potential of Cellular Automata (CA) models in simulating wildfire spread . . .
  

   

  

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