• DocumentCode
    162313
  • Title

    Estimation of occurrence probability of oceanic rogue waves

  • Author

    Leng-Hsuan Tseng ; Jen-Ping Peng ; Ying-Chih Chen ; Dong-Jiing Doong ; Cheng-Han Tsai

  • Author_Institution
    Dept. of Marine Environ. Inf., Nat. Taiwan Ocean Univ. (NTOU), Keelung, Taiwan
  • fYear
    2014
  • fDate
    7-10 April 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Freak wave may cause danger to ships or people who active at coastal area. Prediction of freak wave can provide early alarm information and hence reduce risks of hazards. However, due to the unclear of freak wave mechanism, deterministic prediction is not possible but stochastic method can be used for research of occurrence probability of freak waves. In this study, nonlinear wave theory is considered for derivation of freak wave occurrence probability. It is function of number of waves and kurtosis of water elevation. Field data from long-term measurements were used for validation which demonstrates the existence of bias. The average root-mean-square-error is 22.4% which is acceptable.
  • Keywords
    hazards; ocean waves; probability; stochastic processes; average root-mean-square-error; bias existence; coastal area; early alarm information; freak wave deterministic prediction; freak wave mechanism; freak wave occurrence probability derivation; freak wave occurrence probability research; freak wave prediction; long-term measurement field data; nonlinear wave theory; oceanic rogue wave occurrence probability estimation; reduce hazard risk; stochastic method; water elevation kurtosis; wave number function; Educational institutions; Estimation; Informatics; Marine vehicles; Oceans; Sea measurements; Ultrasonic variables measurement; freak wave; nonlinear; occurrence probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2014 - TAIPEI
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4799-3645-8
  • Type

    conf

  • DOI
    10.1109/OCEANS-TAIPEI.2014.6964535
  • Filename
    6964535