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.

A forest fire spread fast model based on cellular automaton in spatially heterogeneous area of China

2009 ◽  
Author(s):  
Tao Sun ◽  
Zhe Chen ◽  
Linghan Zhang ◽  
Qianqing Qin ◽  
Wentong Dong ◽  
...  
Keyword(s):  
Cellular Automaton ◽  
Forest Fire ◽  
Fire Spread ◽  
Model Based

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.

Forest fire spread model based on the grey system theory

2018 ◽  
Vol 76 (5) ◽  
pp. 3602-3614 ◽  
Author(s):  
Chundong Lv ◽  
Jia Wang ◽  
Fanfei Zhang
Keyword(s):  
System Theory ◽  
Forest Fire ◽  
Fire Spread ◽  
Grey System Theory ◽  
Grey System ◽  
Model Based ◽  
Spread Model ◽  
Fire Spread Model

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

Preliminary assessment of night vision goggles in airborne forest fire suppression

2007 ◽  
Author(s):  
Sion Jennings ◽  
Greg Craig ◽  
Rob Erdos ◽  
Don Filiter ◽  
Bob Crowell ◽  
...  
Keyword(s):  
Forest Fire ◽  
Fire Suppression ◽  
Night Vision ◽  
Preliminary Assessment

scholarly journals Physical parametrisation of fire-spotting for operational fire spread models: response analysis with a model based on the Level Set Method

2018 ◽  
Author(s):  
Inderpreet Kaur ◽  
Anton Butenko ◽  
Gianni Pagnini
Keyword(s):  
Level Set Method ◽  
Level Set ◽  
Discrete Event ◽  
Fire Spread ◽  
Response Analysis ◽  
System Specification ◽  
Time Step ◽  
Processing Scheme ◽  
Model Based ◽  
The Many

Abstract. Fire-spotting is often responsible for a dangerous flare up in the wildfire and causes secondary ignitions isolated from the primary fire zone leading to perilous situations. In this paper a complete physical parametrisation of fire-spotting is presented within a formulation aimed to include random processes into operational fire spread models. This formulation can be implemented into existing operational models as a post-processing scheme at each time step, without calling for any major changes in the original framework. In particular, the efficacy of this formulation has already been shown for wildfire simulators based on an Eulerian moving interface method, namely the Level Set Method (LSM) that forms the baseline of the operational software WRF-SFIRE, and for wildfire simulators based on a Lagrangian front tracking technique, namely the Discrete Event System Specification (DEVS) that forms the baseline of the operational software FOREFIRE. The simple and computationally less expensive parametrisation includes the important parameters necessary for describing the landing behavior of the firebrands. The results from different simulations with a simple model based on the LSM highlight the response of the parametrisation to varying fire intensities, wind conditions and different firebrand radii. The contribution of the firebrands towards increasing the fire perimeter varies according to different concurrent conditions and the simulation results prove to be in agreement with the physical processes. Among the many rigorous approaches available in literature to model the firebrand transport and distribution, the approach presented here proves to be simple yet versatile for application to operational fire spread models.

Modeling Forest Fire Spread Through a Game Method for Modeling Based on Hexagonal Cells

2014 ◽  
pp. 321-328 ◽  
Author(s):  
Evdokia Sotirova ◽  
Emilia Velizarova ◽  
Stefka Fidanova ◽  
Krassimir Atanassov
Keyword(s):  
Forest Fire ◽  
Fire Spread
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