DOI QR코드

DOI QR Code

Predicting typhoons in Korea

국내 태풍 예측

  • Received : 2015.01.20
  • Accepted : 2015.03.17
  • Published : 2015.03.31

Abstract

We develop a model to predict typhoons in Korea. We collect data for typhoons and classify those depending on the severity level. Following a Bayesian approach, we develop a model that explains the relationship between different levels of typhoons. Through the analysis of the model, we can predict the rate of typhoons, the probability of approaching Korean peninsular, and the probability of striking Korean peninsular. We show that the uncertainty for the occurrence of various types of typhoons reduces dramatically by adaptively updating model parameters as we acquire data.

Keywords

References

  1. 김백조, "태풍예측 향상을 위한 태풍관측 현황과 전략", 한국방재학회, 제6권 3호 (2006) : 117-125
  2. 나인채, 이우정, 강지영, 장기호, 강기룡, 신도식, "저기압공간위상도를 이용한 태풍예측 모델간의 온대저기압화 과정 비교", 한국기상학회 학술대회 논문집 (2014)
  3. 서승남, 김상익, "태풍 볼라벤의 서해안 폭풍해일분석", 한국해안해양공학회지, 제26권1호 (2014) :41-48
  4. 이창수, 권혁성, 하용준, "기온 확률 모형에 근거한날씨 보험의 가격결정에 대한 연구", 보혐금융연구, 제19권 2호 (2012) : 55-76
  5. 한상진, 김근정, 오순미, "전통적 사고예측모형의 한계 및 개선 방안 : Hauer 사고예측모형의 소개 및 적용", 한국도로학회 논문집, 제10권 1호 (2008) : 19-29
  6. Aitchison, I.R., and Dunsmore, "Statistical Prediction Analysis", Cambridge University Press, (1975)
  7. Cohan, Faisal et al. "A New Methodology for Safety Management Based on Feedback from Credible Accident-Probabilistic Fault Tree Analysis System", Journal of Hazardous Materials, 87, No.1 (2002) : 23-36 https://doi.org/10.1016/S0304-3894(01)00276-X
  8. Piet,S.J. "Implication of Probabilistic Risk Assessment for Fusion Decision Making", Fusion Technology, Vol.10, pp.31-48, 1986
  9. Bruske, S.Z. and Holland, D.F.,"Risk Assessment Technology for the Evaluation of Tritium Accident Mitigation", Nuclear Technology Fusion, Vol.4, pp.539-543, 1983
  10. Shachter, Ross D., "Evaluating Influence Diagrams" Operations Research, Vol.34, No.26 (1987) : 871-882
  11. Yang, Heejoong, "Forecasting Accidents by Transforming Event Trees into Influence Diagrams", 산업경영시스템학회지,Vol. 29, No.1, pp.72-75, 2006