ON THE ALEATORY AND EPISTEMIC UNCERTAINTY OF THE WAVE RESOURCE ASSESSMENT IN THE NORTH WEST PACIFIC

被引:0
|
作者
Kidoura, Yusuke [1 ]
Wada, Ryota [1 ]
Waseda, Takuji [1 ]
机构
[1] Univ Tokyo, Grad Sch Frontier Sci, Dept Ocean Technol Policy & Environm, Kashiwa, Chiba 2778563, Japan
关键词
OSCILLATION;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents the results of quantifying uncertainty associated with the wave resource assessment in the North West Pacific. This study classifies uncertainty into 2 types: aleatory uncertainty and epistemic uncertainty. We defined the source of aleatory uncertainty as inter-annual variability of wave power and the source of episteraic uncertainty as difference between a model and an observation. Spectral analysis of inter-annual variability and correlation coefficient analysis between inter-annual variability and climate index such as Arctic Oscillation are conducted to quantify aleatory uncertainty. The results revealed that aleatory uncertainty in North West Pacific differs from that in North Atlantic. Regarding the cause of inter-annual variability, seas surrounding Japan can be classified into 4 regions: the sea of Okhotsk and Eastern Japan with high correlation with the North Pacific Index, the Japan Sea with Arctic Oscillation and Southern Japan with the typhoon frequency. These results provide the characteristic of uncertainty in wave power assessment in the North West Pacific, and they are helpful to establish standards of wave resource assessment in Japan.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] Judgment Extremity and Accuracy Under Epistemic vs. Aleatory Uncertainty
    Tannenbaum, David
    Fox, Craig R.
    Ulkumen, Gulden
    [J]. MANAGEMENT SCIENCE, 2017, 63 (02) : 497 - 518
  • [32] Statistical model calibration and design optimization under aleatory and epistemic uncertainty
    Jung, Yongsu
    Jo, Hwisang
    Choo, Jeonghwan
    Lee, Ikjin
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 222
  • [33] On the quantification of aleatory and epistemic uncertainty using Sliced-Normal distributions
    Crespo, Luis G.
    Colbert, Brendon K.
    Kenny, Sean P.
    Giesy, Daniel P.
    [J]. SYSTEMS & CONTROL LETTERS, 2019, 134
  • [34] Quantification of Aleatory and Epistemic Uncertainty in Bulk Power System Reliability Evaluation
    Awadallah, Selma Khalid E.
    Milanovic, Jovica V.
    [J]. 2013 IEEE GRENOBLE POWERTECH (POWERTECH), 2013,
  • [35] Assessment of the Cassini mission nuclear risk with aleatory and epistemic uncertainties
    Frank, MV
    [J]. PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT (PSAM 4), VOLS 1-4, 1998, : 2434 - 2439
  • [36] Robust design optimization of a multi-body system with aleatory and epistemic uncertainty
    Ma, Yuan-Zhuo
    Li, Chen-Xu
    Wang, You-Yu
    Zhang, Zhi-Yong
    Li, Hong-Shuang
    Ding, A. -Nai
    Rui, Xiao-Ting
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 245
  • [37] Deterministic sampling for propagating epistemic and aleatory uncertainty in dynamic event tree analysis
    Rahman, S.
    Karanki, D. R.
    Epiney, A.
    Wicaksono, D.
    Zerkak, O.
    Dang, V. N.
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2018, 175 : 62 - 78
  • [38] Aerodynamic Design Optimization of Wind Turbine Airfoils under Aleatory and Epistemic Uncertainty
    Caboni, M.
    Minisci, E.
    Riccardi, A.
    [J]. SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2018), 2018, 1037
  • [39] On the distinction between aleatory and epistemic uncertainty and its implications on reliability and risk analysis
    Aguirre, Felipe
    Sallak, Mohamed
    Schoen, Walter
    Qiu, Siqi
    [J]. SAFETY, RELIABILITY AND RISK ANALYSIS: BEYOND THE HORIZON, 2014, : 3221 - 3227
  • [40] Model validation metrics for CFD numerical simulation under aleatory and epistemic uncertainty
    Xiahou, Tangfan
    Chen, Jiangtao
    Shao, Zhidong
    Wu, Xiaojun
    Liu, Yu
    [J]. Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2022, 43 (08):