Forest fire modeling using cellular automata and percolation threshold analysis

Author(s):  
Sang Il Pak ◽  
Tomohisa Hayakawa
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

2017 ◽  
Vol 5 (3) ◽  
pp. 99-122
Author(s):  
Parham Pahlavani ◽  
Hamid Reza Sahraiian ◽  
Amin Raei ◽  
◽  
◽  
...  

Author(s):  
Severin Staudinger

In this chapter a heuristic forest fire model based on cellular automata is presented and realized for efficiency reasons with the DataFlow programming approach. Real-world images taken by satellites are analyzed and used as the basis for simulations. In the presented forest fire model, natural influences like wind strength and direction, burning behavior, as well as different levels of inflammability are considered. The DataFlow implementation on an FPGA-based Maxeler MAX3 Vectis card was compared to a sequential C version executed on an Intel Xeon E5-2650 2.0 GHz CPU. The author obtained speedups of up to 70 for a strong wind situation and 46 for a random wind setting while reducing energy consumption.


2017 ◽  
Author(s):  
Francesco Giannino ◽  
Lucia Russo ◽  
Davide Ascoli ◽  
Antonello Migliozzi ◽  
Constantinos I. Siettos ◽  
...  

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

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