Simulating forest fire spread and fire-fighting using cellular automata
•A stochastic cellular automata model is used to predict spread of forest fires.•Fire-fighting control measures account for the vegetation type and wind conditions.•The model shows promise for real-time fire management and fire risk planning. In response to the transboundary haze problem in Southeas...
Saved in:
| Published in: | Chinese journal of physics (Taipei) Vol. 65; pp. 642 - 650 |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01-06-2020
|
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | •A stochastic cellular automata model is used to predict spread of forest fires.•Fire-fighting control measures account for the vegetation type and wind conditions.•The model shows promise for real-time fire management and fire risk planning.
In response to the transboundary haze problem in Southeast Asia, a physical model is adopted to simulate the spread and extinguishing of fire. This study is done in the context of Dumai, Indonesia, as it is one of the areas that significantly contribute to the haze problem. This model aims to provide perspectives on the persistence of forest fires despite fire-fighting efforts. While existing models using Huygens’ principle of wave propagation allow an understanding of the natural spread of fire, our model applies cellular automata to predict and analyse the effects of fire-fighting intervention strategies, with the spatial and propagation dynamics of fire considered. Cellular automata is an active area of research among physicists, and is widely used by chemists and biologists to model many types of natural phenomena. We note similarities between our model predictions and observations of real-world phenomena. Analyses on the factors that affect the spread of fire are presented, in order to understand which ones are dominant in differing situations. This provides insights on optimum conditions for fire-fighting efforts, and suggests guidelines that may be considered for fire control in future forest fires. |
|---|---|
| ISSN: | 0577-9073 |
| DOI: | 10.1016/j.cjph.2020.04.001 |