Modeling of Wind Flow and Its Impact on Forest Fire Spread: Cellular Automata Approach

2016 ◽  
pp. 269-279 ◽  
Author(s):  
Omar Jellouli ◽  
Abdessamed Bernoussi ◽  
Mina Amharref ◽  
Mustapha Ouardouz
Keyword(s):  
Cellular Automata ◽  
Forest Fire ◽  
Fire Spread ◽  
Wind Flow

Forest fire spread simulation algorithm based on cellular automata

2017 ◽  
Vol 91 (1) ◽  
pp. 309-319 ◽  
Author(s):  
Xiaoping Rui ◽  
Shan Hui ◽  
Xuetao Yu ◽  
Guangyuan Zhang ◽  
Bin Wu
Keyword(s):  
Cellular Automata ◽  
Forest Fire ◽  
Fire Spread ◽  
Simulation Algorithm

scholarly journals Fire spread simulation using cellular automata in forest fire

2020 ◽  
Vol 821 ◽  
pp. 012037
Author(s):  
H D Bhakti ◽  
H Ibrahim ◽  
F Fristella ◽  
M Faisal
Keyword(s):  
Cellular Automata ◽  
Forest Fire ◽  
Fire Spread

scholarly journals Modelling forest fire spread using hexagonal cellular automata

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

scholarly journals Adaptive Forest Fire Spread Simulation Algorithm Based on Cellular Automata

Forests ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1431
Author(s):  
Liyang Sun ◽  
Congcong Xu ◽  
Yanglangxing He ◽  
Yanjun Zhao ◽  
Yuan Xu ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Forest Fire ◽  
Forest Fires ◽  
Fire Spread ◽  
Time Step ◽  
Simulation Accuracy ◽  
Change Rate ◽  
Spread Model ◽  
Speed Change ◽  
Actual Fire

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.

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 ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Forest Fire ◽  
Fire Spread ◽  
Fire Fighting

A case study on fractal simulation of forest fire spread

2000 ◽  
Vol 43 (S1) ◽  
pp. 104-112 ◽  
Author(s):  
Qijiang Zhu ◽  
Taizong Rong ◽  
Rui Sun
Keyword(s):  
Forest Fire ◽  
Fire Spread ◽  
Fractal Simulation

The Examination of the Economical Effectiveness of Forest Fire Suppression by Using Theoretical Fire Spread Models

2016 ◽  
Vol 15 (1) ◽  
pp. 85-92
Author(s):  
Ágoston Restás
Keyword(s):  
Forest Fire ◽  
Economic Efficiency ◽  
Fire Suppression ◽  
Fire Spread ◽  
Concentric Circle ◽  
Model Based ◽  
Actual Fire ◽  
Concentric Circles ◽  
Circle Model ◽  
Rectangular Model

It is commonly known that firefighting is very expensive solution; therefore it isn’t useless to study it by the criteria of efficiency. But the meaning of efficiency for fire managers can be different from the meaning of efficiency for economists. From an economic viewpoint, it is stricter than from a technical view. Method: this research used geometric aspects of the fire spread created rectangular and concentric circles models and used basic mathematic calculations and logical conclusions. Results and discussion: The rectangular model shows the criteria of economic efficiency of firefighting. Moreover, the results from rectangular model can be transferred also to the section of concentric circles model. Based on the concentric circle model we can define both the economic efficiency of fighting forest fire and minimal criteria of successful suppression expressed by the elementary information we have regarding the actual fire.

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