Abstract
The special forest fire prevention task of Beijing puts forward a higher demand of the forest fire prevention informatization. Based on geographical simulation system theory, and taken dynamic data driven application systems as technological paradigm, this paper brought forward a new fire simulation technology framework and network system, solved the key technology in the simulation system building process such as model base construction and management, model suitability selection, model adaptive correction, real-time simulation validation, forest fire space spreading simulation, and so on. Automation and intelligent selecting precision of the forest fire model reached more than 80%. Model error correction simulation reached a more satisfactory result. With the further improvement of system construction, the system will integrate with the operational system, and improve the forest fire fighting decision-making.
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References
Tian, Y.C., Liu, S.G., Zhao, G., et al.: Multi-model forecasting system of forest fire spreading based on deductive database. Journal of Beijing Forestry University 29, 49–53 (2007) (in Chinese)
McDonough, J.M., Yang, T.: Parallel Performance of a New Model for Wildland Fire Spread Predictions, Paralle CFD(Computational Fluid Dynamics) Conference. Las Palmas de Gran Canaria(ES) ( 5), 45–51 (2004)
Trunfio, G.A.: Predicting Wildfire Spreading Through a Hexagonal Cellular Automata Model. In: Sloot, P.M.A., Chopard, B., Hoekstra, A.G. (eds.) ACRI 2004. LNCS, vol. 3305, pp. 385–394. Springer, Heidelberg (2004)
Huang, H.G., Zhang, X.L., Wang, L.: Simulation of forest fire spread based on a 3D-surface Cellular Automata Model. Journal of Beijing Forestry University 27, 94–98 (in Chinese)
DDDAS Workshop Report[R/OL]. NSF Workshop Report (January 2006), http://www.cise.nsf.gov/dddas
Dynamic Data Driven Application Systems [R/OL]. NSF Workshop Report (March 2000), http://www.cise.nsf.gov/dddas
Darema, F.: Dynamic Data Driven Application Systems: A New Paradigm for Applications / Simulations and Measurement Methodology. In: Proceedings ICCS 2004, pp. 662–669 (2004)
Wilson, A.G.: Geography and the Environment Systems Analytical Methods. John Wiley & Sons, Ltd., Chichester (1981)
Chen, S.P.: Earth System Science. China Science and Technology Press, Beijing (1998)
Qian, X., Yu, L., Dai, R.: A new discipline of science –The study of open complex giant system and its methodology. Journal of Nature (1), 3–10 (1990)
Zhou, C., Sun, Z., Xie, Y.: Researches of Geographical Cellular Automata, pp. 20–23. Science Press, Beijing (1999)
Li, X., Ye, J., Liu, X.: Geographical Simulation Systems: Cellular Automata & Agent, pp. 8–21. Science Press, Beijing (2007)
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Yang, G., Li, Y. (2012). Design and Realization of the Dynamic Data Driven System of Forest Fire Simulation-—The Case Study of Beijing Forest Fire Prevention System. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25778-0_78
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DOI: https://doi.org/10.1007/978-3-642-25778-0_78
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