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Estiamtion of Time Series Model on Forest Fire Occurrences and Burned Area from 1970 to 2005  

Lee, Byungdoo (Division of Forest Fire, Korea Forest Research Institute)
Chung, Joosang (Department of Forest Sciences, Seoul National University)
Publication Information
Journal of Korean Society of Forest Science / v.95, no.6, 2006 , pp. 643-648 More about this Journal
Abstract
It is important to understand the patterns of forest fire in terms of effective prevention and suppression activities. In this study, the monthly forest fire occurrences and their burned areas were investigated to enhance the understanding of the patterns of forest fire in Korea. The statistics of forest fires in Korea, 1970 through 2005, built by Korea Forest Service was analyzed by using time series analysis technique to fit ARIMA models proposed by Box-Jenkins. The monthly differences in forest fire characteristics were clearly distinguished, with 59% of total forest fire occurrences and 72% of total burned area being in March and April. ARIMA(1, 0, 1) was the best fitted model to both the fire accurrences and the burned area time series. The fire time series have a strong relation to the fire occurrences and the burned area of 1 month and 12 months before.
Keywords
forest fire; burned area; statistics; time series analysis; ARIMA;
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1 산림청. 2005. 2005년 산불통계연보. pp. 187
2 이병두. 2005. GIS와 RS를 이용한 2000년 삼척산불 행동 특성 분석 및 산불확산예측모델 개발. 서울대학교 박사학위 논문. pp. 117
3 Duncan, D.B. 1955. Multiple range and multiple F tests. Biometrics 11: 1-42   DOI   ScienceOn
4 Kasischke, E.S, Williams, D. and Barry, D. 2002. Analysis of the patterns of large fires in the boreal forest region of Alaska. International Journal of Wildland Fire 11: 131-144   DOI   ScienceOn
5 Pew, K.L. and Larsen, C.P.S. 2001. GIS analysis of spatial and temporal patterns of humancaused wildfires in the temperature rain forest of Vancouver Island, Canada. Forest Ecology and Management 140: 1-18   DOI   ScienceOn
6 Mouillot, F., Ratte, J., Joffre, R., Moreno, J.M. and Rambal, S. 2003. Some determinants of the spatiotemporal fire cycle in a Mediterranean landscape (Corsica, France). Landscape Ecology 18: 665-674   DOI
7 Van Wagner, C.E. 1988. The historical pattern of annual area burned in Canada. The Forestry Chronicle 64: 182-188   DOI
8 Akaike, H. 1971. Information theory and an extension of the maximum likelihood principle. pp. 267-281. In: Petrov, B.N. and Csaki, F., ed. 2nd international symposium on information theory. Institute of Statistical Mathematics. Research Memorandum No. 46
9 Martell, D.L., Otukol, S. and Stocks, B.J. 1987. A logistic model for predicting daily people caused forest fire occurrence in Ontario. Canadian Journal of Forestry Research 17: 394-401   DOI
10 Schoenberg, P.P., Peng, R., Huang, Z. and Rundel, P. 2003. Detection of nonlinearities in the dependence of burn area on fuel age and climate variables. International Journal of Wildland Fire 12: 1-6   DOI   ScienceOn
11 Akaike, H. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control 79: 716-723
12 Schwartz, G. 1978. Estimating the dimension of a model. Annal of Statistics 6: 461-464   DOI
13 Barney, R.J. and Stocks, B.J. 1983. Fire frequencies during the suppression period. pp. 45-62. In : Wein, R.W. and MacLean, D.A., The role of fire in northern circum-polar ecosystems. John Wiley and Sons. New York
14 Stephens, S.L. 2005. Forest fire causes and extent on United States forest service lands. International Journal of Wildland Fire 14(3): 213-222   DOI   ScienceOn
15 최병선. 1995. 다변량 시계열분석. 세경사. pp. 1051
16 Gill, A.M. 1975. Fire and the Australian flora : a review. Australian Forestry 38: 4-25   DOI
17 Lee, B., Park, P.S. and Chung, J. 2006. Temporal and spatial characteristics of forest fires in South Korea between 1970 and 2003. International Journal of Wildland Fire 15(3): 389-396   DOI   ScienceOn
18 Box, G.E.P. and Jenkins, G.M. 1976. Time series analysis: Forecasting and control. Holden-Day, San Francisco
19 Crimmins, M.A. and Comrie, A.C. 2004. Interactions between antecedent climate and wildfire variability across southeastern Arizona. International Journal of Wildland Fire 13: 455-466   DOI   ScienceOn
20 SAS Institute Inc. 2003. SAS 9.1 Help and Documentation. SAS Institute Inc. Cary, N.C., USA
21 조신섭, 손영숙. 1999. SAS/ETS를 이용한 시계열분석. 율곡출판사. pp. 430