Browse > Article
http://dx.doi.org/10.6109/jkiice.2016.20.8.1581

Prediction of Wildfire Spread and Propagation Algorithm for Disaster Area  

Koo, Nam-kyoung (Department of Computer Science Engineering, Korea University of Technology and Education)
Lee, Kang-whan (Department of Computer Science Engineering, Korea University of Technology and Education)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.8, 2016 , pp. 1581-1586 More about this Journal
Abstract
In this paper, we propose a central disaster monitoring system of the forest fire. This system provides the safe-zone and detection to reduce the suppression efforts. In existing system, it has a few providing the predicting of wildfire spread model and speed through topography, weather, fuel factor. This paper focus on the forest fire diffusion model and predictions of the path identified to ensure the safe zone. Also we have considering the forest fire of moving direction and speed for fire suppression and monitering. The proposed algorithm could provide the technique to analyze the attribute information that temperature, wind, smoke measured over time. This proposed central observing monitoring system could provide the moving direction of spred out forecast wildfire. This observing and monitering system analyze and simulation for the moving speed and direction forest fire, it could be able to predict and training the forest fire fighters in a given environment.
Keywords
Fire prediction & Fire Detection System; Weighting factors; Sensor; Context-Awareness;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 J. Lloret, M. Garcia, D Bri, and S. Sendra, "A wireless sensor network deployment for rural and forest fire detection and verification," Sensors, vol. 9, no. 11, pp. 8722-8747, Oct. 2009.   DOI
2 M. Holmes, Y. Wang, I. Ziedins, "The Application of Data Mining Tools and Statistical Techniques to Identify Patterns and Changes in Fire Events," The University of Auckland Final Research Rep. 95, 2009.
3 P.L. Andrews, L.L.P. Queen, "Fire modeling and information system technology," International Journal of Wildland Fire, vol.10, pp.343-352, June 2001.   DOI
4 K. Sha, W. Shi, O. Watkins, "Using Wireless Sensor Networks for Fire Rescue Applications: Requirements and Challenges," Electro information Technology, IEEE International Conference, 2006.
5 Turgay Celik, "Fast and Efficient Method for Fire Detection Using Image Processing," ETRI Journal, vol. 32, no. 6, pp.881-890, Dec. 2010   DOI
6 M. A. Parisien, V. S. Peters, Y. Wamg, J. M. Little, E. M. Bosch, and B. J. Stocks, "Spatial Patterns of Forest Fires in Canada, 1980-1999," International Journal of Wildland Fire, vol.15, pp.361-374, Sep. 2006.   DOI
7 K. G. Hirsch, "Canadian Forest Fire Behavior Prediction (FBP) System: user's guide," Canadian Forest Service, Special Report 7. 1996.
8 L. Cunbin, Z. Jing, T. Baoguo and Z. Ye, "Analysis of Forest Fire Spread Trend Surrounding Transmission Line Based on Rothermel Model and Huygens Principle," International Journal of Multimedia and Ubiquitous Engineering, vol. 9, no 9, pp.51-60, Sep. 2014.   DOI
9 H. William, A. Teukolsky, T. William, P. Brian, Numerical Recipes Example Book, 2nd ed. Cambridge New York, NY: Cambridge University Press, 1992.
10 A. Zhao, L. Wang and C. H. Yao, "Research on Electronic-nose Application Based on Wireless Sensor Networks," International Symposium on Instrumentation Science and Technology, pp.250-254, Aug. 2006.