Abstract
This paper provides a concise and comprehensive analysis of forest fire spread simulation. The Alexandridis model was implemented and enhanced utilizing stochastic methods in a Python environment. The impact of various factors influencing fire spread was individually studied. Results were empirically analyzed based on model-generated images, addressing the lack of real fire data. Multiple scenarios and parameter values were explored, highlighting the effectiveness of the developed method. In summary, this paper provides a concise and comprehensive analysis of forest fire spread simulation, demonstrating the efficacy of the Alexandridis model. Findings suggest the potential for developing a more effective model to combat forest fires and improve prediction and prevention methods.
| Original language | English |
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| Title of host publication | Proceedings - 8th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 31-38 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798350387643 |
| ISBN (Print) | 9798350387643 |
| DOIs | |
| Publication status | Published - 5 Jul 2024 |
| Event | 8th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2024 - Lisbon, Portugal Duration: 5 Jul 2024 → … |
Publication series
| Name | 2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE) |
|---|
Conference
| Conference | 8th International Young Engineers Forum on Electrical and Computer Engineering, YEF-ECE 2024 |
|---|---|
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 5/07/24 → … |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- cellular automata
- forest-fire
- simulation
- stochastic model