Simulating forest fire spread and fire-fighting using cellular automata

2020 ◽  
Vol 65 ◽  
pp. 642-650
Author(s):  
K. Mutthulakshmi ◽  
Megan Rui En Wee ◽  
Yew Chong Kester Wong ◽  
Joel Weijia Lai ◽  
Jin Ming Koh ◽  
...  
2017 ◽  
Vol 91 (1) ◽  
pp. 309-319 ◽  
Author(s):  
Xiaoping Rui ◽  
Shan Hui ◽  
Xuetao Yu ◽  
Guangyuan Zhang ◽  
Bin Wu

Author(s):  
H D Bhakti ◽  
H Ibrahim ◽  
F Fristella ◽  
M Faisal

2007 ◽  
Vol 31 (6) ◽  
pp. 1213-1227 ◽  
Author(s):  
L. Hernández Encinas ◽  
S. Hoya White ◽  
A. Martín del Rey ◽  
G. Rodríguez Sánchez

Author(s):  
Omar Jellouli ◽  
Abdessamed Bernoussi ◽  
Mina Amharref ◽  
Mustapha Ouardouz

Forests ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1431
Author(s):  
Liyang Sun ◽  
Congcong Xu ◽  
Yanglangxing He ◽  
Yanjun Zhao ◽  
Yuan Xu ◽  
...  

The popular simulation process that uses traditional cellular automata with a fixed time step to simulate forest fire spread may be limited in its ability to reflect the characteristics of actual fire development. This study combines cellular automata with an existing forest fire model to construct an improved forest fire spread model, which calculates a speed change rate index based on the meteorological factors that affect the spread of forest fires and the actual environment of the current location of the spread. The proposed model can adaptively adjust the time step of cellular automata through the speed change rate index, simulating forest fire spread more in line with the actual fire development trends while ensuring accuracy. When used to analyze a forest fire that occurred in Mianning County, Liangshan Prefecture, Sichuan Province in 2020, our model exhibited simulation accuracy of 96.9%, and kappa coefficient of 0.6214. The simulated fire situation adapted well to the complex and dynamic fire environment, accurately depicting the detailed fire situation. The algorithm can be used to simulate and predict the spread of forest fires, ensuring the accuracy of spread simulation and helping decision makers formulate reasonable plans.


2012 ◽  
Vol 468-471 ◽  
pp. 480-483
Author(s):  
Chun Yuan Chang ◽  
Chun Mei Yang ◽  
Xiao Fang Sun

Forest fire fighting is very complex, the simulation using linear method is impossible. This paper proposed an Agent-based model for forest firefighting, designed the properties and behaviors of Fire Agent, Fighter Agent, and Commander Agent, simulated the fire spread and firefighting in forest by the three kinds of Agent’s actions, evolutions, and interactions; Developed the simulation software on Repast, which is composed of fire context, Agents, display, statistics and analysis etc; Simulated fighting with different number of Fighter Agent. The simulation’s statistics and analysis of Agents support both theory and practice for forest firefighting.


Author(s):  
Fernando Valcarce ◽  
Jesús Gonzalo ◽  
Joaquín Ramírez ◽  
Abel Calle Montes ◽  
Emilio Chuvieco

2000 ◽  
Vol 43 (S1) ◽  
pp. 104-112 ◽  
Author(s):  
Qijiang Zhu ◽  
Taizong Rong ◽  
Rui Sun

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