• DocumentCode
    3045616
  • Title

    The probability prediction of storm surge disaster along south-east coasts of China

  • Author

    Pang, Liang ; Zhou, Jiyi ; Liu, Defu

  • Author_Institution
    Coll. of Eng., Ocean Univ. of China, Qingdao, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    1827
  • Lastpage
    1830
  • Abstract
    The research of long-term risk analysis method of typhoon induced storm surge disaster is always a compelling topic of marine science and engineering. Traditional approach is using univariate probability model based on yearly maximum sampling to describe the characteristics parameters of typhoon and water level. According to the probability analysis results, samples can be generated by using Monte Carlo method and long-term risk of storm surge disaster with some return period is calculated. In this paper, a double layer multi-objective probability model based on multivariate compound extreme value distribution is proposed. The annual typhoon frequency and correlations among different key parameters of typhoon are considered in the new model. This model is applied to the long-term risk analysis of typhoon induced storm surge disaster along the coast of China and it indicates reasonable results.
  • Keywords
    Monte Carlo methods; probability; risk analysis; sea level; storms; China southeast coast; Monte Carlo method; double layer multiobjective probability model; long term risk analysis method; marine engineering; marine science; multivariate compound extreme value distribution; probability prediction; storm surge disaster; typhoon; water level; Hurricanes; Risk analysis; Sea measurements; Storms; Surges; Typhoons; Wind speed; Multivariate compound extreme value distribution; Risk analysis; Stochastic simulation; Storm surge disaster; Typhoon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6002851
  • Filename
    6002851