Simulating wildfire spreading processes in a spatially heterogeneous landscapes using an improved cellular automaton model

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 5, Issue , 2004, Pages 3371-3374

  Yongzhong, Zhang ^a,c   Feng, Z D ^a,b   Tao, Han ^d   Liyu, Wu ^e   Kegong, Li ^c   Xin, Duan ^c  

^a LANZHOU UNIVERSITY   (China)

^b MONTCLAIR STATE UNIVERSITY   (United States)

^c Anal and Test Ctr of Gansu Prov   (China)

^d NATIONAL CLIMATE CENTER   (China)

^e GANSU AGRICULTURAL UNIVERSITY   (China)

Author keywords

Cellular Automaton; Hexagon; Rothermel's model; Simulation; Wildfire

Indexed keywords

ALGORITHMS; ANISOTROPY; AUTOMATION; COMPUTER SIMULATION; FIRES; MAPS; NATURAL RESOURCES;

CELL-BASED DATA; CELLULAR AUTOMATION (CA) METHOD; LANDSCAPES; WILDFIRE SPREADING PROCESSES;

REMOTE SENSING;

EID: 15944364403     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Rothermel, R.C., 1972. A mathematical model for predicting fire spread in wildland fuels. USDA For. Serv., Intermt For. and Range Exp. Stn, Ogden, UT. Res. Pap. INT-1
2. A.M.G. Lopes, M.G. Cruz, D.X. Viegas,2002. FireStation - an integrated software system for the numerical simulation of fire spread on complex topography. Environmental Modelling & Software 17 (2002) 269-285
3. Karafyllidis, I., Thanailakis, A., 1997. A model for predicting forest fire spreading using cellular Automaton. Ecol. Modeling 99, 87-97.
4. Stephen G Berjak, John W Hearne, 2002. An improved cellular automaton model for simulating fire in a spatially heterogeneous Savanna system. Ecological Modelling, 148 133-151
5. Weise, D.R. Biging, G.S., 1996. Effects of wind velocity and slope on flame properties. Can. J. For. Res. 26, 1849-1858.
6. Cheney, N.P., 1981. Fire behaviour. In: Gill, A.M., Groves, R.H., Noble, I.R. (Eds.), Fire and the Australian Biota. Australian Academy of Science, Canberra, pp. 157-175.
7. F. Morandini, P.A. Santoni, J.H. Balbi, 2001. The contribution of radiant heat transfer to laboratory-scale fire spread under the influences of wind and slope. Fire Safety Journal 36, 519-543.
8. Mendes-Lopes JM, Ventura JM, Amaral JM, 1998.Rate of spread and flame characteristics in a bed of pine needles. In: Proceedings of the Third International Conference on Fire Research, Luso, vol. I, p. 497-511.
9. Lu Chang et al. 2003. Study of forest fire spread in valley topography. Fire safety science. Vol 12, No 1.
10. Dupuy J.L. 1995,Slope and fuel load effects on fire behavior: laboratory experiments in pine needles fuel beds. Int J Wildland Fire:5(3): 153-64.
11. Du Fei, Hou Zongze, Liu Jiaqi,2001. Method of Ground fire boundaries spread modeling and computer simulation. Fire Safety science, Vol 10, No. 4
12. Wolfram, S., 1994. Cellular Automaton and Complexity. Ad-dison Wesley, Reading, Massachusetts.
13. Vichniac, G.Y., 1984. Simulating physics with cellular Automaton. Phys. D, 10:96-116.
14. A. Simeoni,. P.A. Santoni,. and J.H. Balbi, 2002. A strategy to elaborate forest fire spread models for management tools including a computer time-saving algorithm. International Journal of Modelling and Simulation, Vol. 22, No. 4.