Research on Integrated Fire Danger Index Application Based on Ignition and Fire

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Abstract:

The use of MODIS remote sensing data desired physical concept fuel preheating energy based on data, by fully considering the heat in the ignition probability index actual transfer heat loss in the process of combining fire probability index by population density and surface roughness index. Construction of integrated fire danger index by ignite two exponential probability index and fire probability index. After the analysis of forest fire in Heilongjiang in October 12, 2004 fire points results, show that the model can obtain better forecasting results. This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.

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Periodical:

Advanced Materials Research (Volumes 734-737)

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3264-3270

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Online since:

August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Thonicke K., Venevsky S., Sitch S., Cramer W. (2001) .The role of fire disturbance for global vegetation dynamics: coupling fire into a Dynamic Global Vegetation Model. Global Ecology and Biogeography 10 (6), 661-677.

DOI: 10.1046/j.1466-822x.2001.00175.x

Google Scholar

[2] Schumacher S., Bugmann H. (2006). The relative importance of climatic effects, wildfires and management for future forest landscape dynamics in the Swiss Alps. Global Change Biology 12 (8), 1435–1450.

DOI: 10.1111/j.1365-2486.2006.01188.x

Google Scholar

[3] Conedera M., Cesti G., Pezzatti B., Zumbrunnen T., Spinedi F. (2006) .Lightning-induced fires in the Alpine region: An increasing problem. In 'V International Conference on Forest Fire Research'. Figueira da Foz, Portugal. (Ed. D. X. Viegas). (ADAI/CEIF University of Coimbra)

DOI: 10.1016/j.foreco.2006.08.096

Google Scholar

[4] Johnson E. A. (1992) 'Fire and vegetation dynamics: Studies from the North American boreal forest.' (Cambridge University Press: Cambridge)

Google Scholar

[5] Dolling K., Chu P. S., Fujioka F. (2005). Agricultural and Forest Meteorology 133 (1-4), 17-27.

Google Scholar

[6] Baohua Huang, Lixia Zhou. remote sensing for land and resources,2008(3):56-60. (in chinese)

Google Scholar

[7] R. C. Rothermel, "A mathematical model for predicting fire spread in wildland fuels," U.S. Dept. Agricult. Forest Service, Intermountain Forest and Range Experiment Station, Ogden, UT, Res. Paper INT-115,1972.

DOI: 10.5962/bhl.title.68703

Google Scholar

[8] L. S. Bradshaw, J. E. Deeming, R. E. Burgan, and J. D. Cohen, "The 1978 National Fire-Danger Rating System: Technical documentation," U.S. Dept. Agicult. Forest Service, Intermountain Forest and Range Experiment Station, Ogden, UT, General Tech. Rep. INT-169, 1984.

DOI: 10.5962/bhl.title.68713

Google Scholar

[9] Blackmarr, W. H.1969. Instability of pine litter influenced by moisture content. Southeastern Forest Experiment Station(Manuscript).

Google Scholar

[10] Guyette, R.P.; Cutter, B.E. 1997. Fire history, population, and calcium cycling in the Current River watershed.In: Proceedings 11th Central Hardwood Forest Conference. Pallardy, S.G.; Cecich, R.A.; Garrett, H.G.; Johnson, P.S., eds.; March 23-26; Columbia, MO. Gen.Tech. Rep. NC-188. U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station.

DOI: 10.2737/nc-gtr-188

Google Scholar

[11] Lixia Zhou, Guangming Gao et.al Journal of safety and environment, 2008, (2): 113-11. (in chinese)

Google Scholar