The maximum entropy distribution is proposed to fit the long term and extreme distribution of significant wave heights from which return value estimates are derived. The maximum entropy distribution is applied to data from two sites of different characteristics, namely from Japan characterized by the occurrence of typhoons and from the North Sea with continuous variation of sea state intensity. The compound distribution, Poisson-maximum entropy distribution, is described and adopted to model the data from these two locations. It is shown that in the case of continuous data from the North Sea, this model does not bring any advantage over the direct application of the maximum entropy distribution to adjust the significant wave heights larger than different thresholds. For this case the maximum entropy distribution provides good fits.
Skip Nav Destination
Ocean University of China,
Qingdao 266100,
Ocean University of China,
Qingdao 266100,
Engineering (CENTEC),
Instituto Superior Técnico,
Technical University of Lisbon,
Av. Rovisco Pais,
e-mail: guedess@mar.ist.utl.pt
Article navigation
August 2013
Research-Article
Return Value Estimation of Significant Wave Heights With Maximum Entropy Distribution
W. Liu,
Ocean University of China,
Qingdao 266100,
W. Liu
College of Engineering
,Ocean University of China,
Qingdao 266100,
China
Search for other works by this author on:
L. Z. Zhang,
Ocean University of China,
Qingdao 266100,
L. Z. Zhang
College of Mathematical Sciences
,Ocean University of China,
Qingdao 266100,
China
Search for other works by this author on:
C. Guedes Soares
Engineering (CENTEC),
Instituto Superior Técnico,
Technical University of Lisbon,
Av. Rovisco Pais,
e-mail: guedess@mar.ist.utl.pt
C. Guedes Soares
1
Centre for Marine Technology and
Engineering (CENTEC),
Instituto Superior Técnico,
Technical University of Lisbon,
Av. Rovisco Pais,
Lisbon 1049-001
, Portugal
e-mail: guedess@mar.ist.utl.pt
1Corresponding author.
Search for other works by this author on:
W. Liu
College of Engineering
,Ocean University of China,
Qingdao 266100,
China
L. Z. Zhang
College of Mathematical Sciences
,Ocean University of China,
Qingdao 266100,
China
C. Guedes Soares
Centre for Marine Technology and
Engineering (CENTEC),
Instituto Superior Técnico,
Technical University of Lisbon,
Av. Rovisco Pais,
Lisbon 1049-001
, Portugal
e-mail: guedess@mar.ist.utl.pt
1Corresponding author.
Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received May 15, 2011; final manuscript received October 20, 2012; published online May 2, 2013. Assoc. Editor: Arvid Naess.
J. Offshore Mech. Arct. Eng. Aug 2013, 135(3): 031103 (10 pages)
Published Online: May 2, 2013
Article history
Received:
May 15, 2011
Revision Received:
October 20, 2012
Citation
Dong, S., Liu, W., Zhang, L. Z., and Guedes Soares, C. (May 2, 2013). "Return Value Estimation of Significant Wave Heights With Maximum Entropy Distribution." ASME. J. Offshore Mech. Arct. Eng. August 2013; 135(3): 031103. https://doi.org/10.1115/1.4023248
Download citation file:
Get Email Alerts
Prediction of Wave Spectral Parameters Using Multiple-Output Regression Models to Support the Execution of Marine Operations
J. Offshore Mech. Arct. Eng (June 2024)
A Computational Study to Predict the Seakeeping Performance of a Surfaced Submarine in Irregular Waves
J. Offshore Mech. Arct. Eng (June 2024)
A Time Domain Model to Predict Dynamic Response of Multiple Floating Bodies Connected With Hinges Based on the Kane Method
J. Offshore Mech. Arct. Eng (June 2024)
What a Wave Buoy Actually Measures in 3D: Analysis of a Mild Sea State
J. Offshore Mech. Arct. Eng
Related Articles
Notes on the Prediction of Extreme Ship Response
J. Offshore Mech. Arct. Eng (May,2013)
Analyzing Extreme Sea State Conditions by Time-Series Simulation Accounting for Seasonality
J. Offshore Mech. Arct. Eng (October,2023)
Wave Power Statistics for Sea States
J. Offshore Mech. Arct. Eng (November,2011)
Modeling and Analysis of a Novel Offshore Binary Species Free-Floating Longline Macroalgal Farming System
J. Offshore Mech. Arct. Eng (April,2023)
Related Proceedings Papers
Related Chapters
Weak Key Analysis of Cellular Automata-Based Random Number Generation and Secret Key Cryptography
Intelligent Engineering Systems through Artificial Neural Networks
Age-Related Skin Research Based on Roughness and Entropy of Human Skin Image
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)
Near-Duplicate Image Detection Based on E 2 LSH
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)