Predicting on Human-caused Forest Fire Occurrence in South Korea

  • Chae, Hee Mun (The Institute of Forest Science, Kangwon National University) ;
  • Lee, Chan yong (Department of Forest Resources Protection, Forest Resources Faculty, College of Forest Science, Kangwon National University)
  • Received : 2005.10.04
  • Accepted : 2005.11.14
  • Published : 2006.06.30

Abstract

Most of the forest fires that occur in South Korea are caused by human. We partitioned South Korea into nine districts and used observed weather data and daily fire occurrence records for the 1994 to 2003 period to develop a human-caused fire occurrence model of South Korea. Logistic regression analysis techniques were used to relate the probability of a fire day to Fine Fuel Moisture Code (FFMC) component of the Canadian Forest Fire Danger Rating System. The probability of the number of fire day was increased as FFMC increased in the nine districts of South Korea.

Keywords

Acknowledgement

Supported by : Korea Science and Engineering Foundation (KOSEF)

References

  1. Choi, K. and Han, S.Y. 1996. Developing Forest Fire Occurrence Probability Model Using Meteorological Characteristics. Journal of Korean Forest society 85(1): 15-23
  2. Chou, Y.H., Minnich, R.A., and Chase, R.A. 1993. Mapping probability of tire occurrence in San Jacinto Mountains, California, USA. Environmental Management 17: 129-140 https://doi.org/10.1007/BF02393801
  3. Crosby, J.S. 1954. Probability of fire occurrence can be predicted. Northern Ozark Forest Research Center. October, 1954
  4. Cunningham, A.A. and Martell. D.L. 1973. A stochastic model for the occurrence of man-caused forest fires. Canadian Journal of Forest Research 3: 282-287 https://doi.org/10.1139/x73-038
  5. Korea Forest Service. 2003. Available from http://www.foa.go.Kr
  6. Korea Meteorological Administration. 2003. Available from http://www.Kma.go.kr
  7. Korean national statistic office. 2003. Available from http://www.Nso.go.kr
  8. Loftsgaarden, D.O., and Andrews, P.L. 1992. Constructing and testing logistic regression model for binary data; Applications to the National Fire Danger Rating System. United States Department of Agriculture. Forest Service. Intermountain Research Station. General Technical Report INT-286. 36pp
  9. Martell, D.L., Bevilacqua, E. and Stocks, B.J. 1989. Modeling seasonal variation in daily human-caused forest fire Occurrence. Canadian Journal of Forest Research. 19(10): 1555-1563 https://doi.org/10.1139/x89-237
  10. Martell, D.L., Otukol, S. and Stocks, B.J. 1987. A logistic model for predicting daily human-caused forest fire occurrence in Ontario. Canadian Journal of Forest Research 17(5): 394-401 https://doi.org/10.1139/x87-068
  11. Pew, K.L. and Larsen, C.P.S. 2001. GIS Analysis of Spatial and Temporal Pattern of human-caused wildfires in the temperature rain forest of Vancouver Island, Canada. Forest Ecology and Management 140 : 1-18 https://doi.org/10.1016/S0378-1127(00)00271-1
  12. Preisler, H.K., Brillinger, D.R., Burgan, R.E. and Benoit, J.W. 2003. Probability based models for estimation of wildfire risk. International Journal of wildland fire 13(2): 133-142 https://doi.org/10.1071/WF02061
  13. Stocks, B.J., Alexander, M.E., Mcalpine, R.S., Lawson, B.O. and Van Wanger, C.E. 1987. Canadian Forest Fire Danger Rating System. Users' Guide. Canadian Forest Service Fire Danger group
  14. Todd, B. and Kourtz, P.H. 1992. Predicting the daily occurrence of human-caused Forest Fire. Petawawa National Forestry Institute. Information Report PI-X-103. 16pp
  15. Van Wagner, C.E. 1970. New development in forest fire danger rating. Canadian Forest Service Report. Environment Information Report Ps-X-19
  16. Van Wagner, C.E. 1987. The development and structure of the Canadian forest fire weather index system. Canadian Forest Service. Petawawa National Forestry Institute. Forest Technical Report ETR-35. Chalk River. Ontario. 36pp
  17. Vega Garcia, C., Woodard, P.M., Titus, S.J., Adamowicz, W.L. and Lee, B.S. 1995. A logit Model for predicting the Daily Occurrence of human caused forest fires. International Journal of wildland fire 5(2): 101-111 https://doi.org/10.1071/WF9950101
  18. Wotton, B.M., Martell, D.L. and Logan, K.A. 2003. Climate change and human-caused forest fire occurrence in Ontario. Climatic change 60: 275-295 https://doi.org/10.1023/A:1026075919710