

FOLLOWUS
1.College of Engineering, University of California Berkeley, Berkeley 94720, USA
2.Dornsife College, University of Southern California, Los Angeles 90007, USA
3.Statistics and Applied Probability, University of California Santa Barbara, Santa Barbara 93106, USA
4.School of Mathematical Sciences, Ocean University of China, Qingdao 266071, China
5.College of Engineering, Ocean University of China, Qingdao 266071, China
Guilin LIU, E-mail:liuguilin73@ouc.edu.cn
收稿:2020-08-24,
录用:2020-9-27,
网络首发:2020-10-26,
纸质出版:2021-07
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Study on evaluation standard of uncertainty of design wave height calculation model[J]. 海洋湖沼学报(英文), 2021,39(4):1188-1197.
Baiyu CHEN, Yi KOU, Fang WU, et al. Study on evaluation standard of uncertainty of design wave height calculation model[J]. Journal of Oceanology and Limnology, 2021, 39(4): 1188-1197.
Study on evaluation standard of uncertainty of design wave height calculation model[J]. 海洋湖沼学报(英文), 2021,39(4):1188-1197. DOI: 10.1007/s00343-020-0327-8.
Baiyu CHEN, Yi KOU, Fang WU, et al. Study on evaluation standard of uncertainty of design wave height calculation model[J]. Journal of Oceanology and Limnology, 2021, 39(4): 1188-1197. DOI: 10.1007/s00343-020-0327-8.
The accurate calculation of marine environmental design parameters depends on the probability distribution model
and the calculation results of different distribution models are often different. It is very important to determine which distribution model is more stable and reasonable when extrapolating the recurrence level of the studied sea area. In this paper
we constructed an evaluation method of the overall uncertainty of the calculation results and a measurement of the uncertainty of the design parameters derivation model
by incorporating the influence of sample information on the model information entropy
such as sample size
degree of dispersion
and sampling error. Results show that the sample data size and the degree of dispersion are directly proportional to the information entropy. Within the same group of data
the maximum entropy distribution model has the lowest overall uncertainty
while the Gumbel distribution model has the largest overall uncertainty. In other words
the maximum entropy distribution model has good applicability in the accurate calculation of marine environmental design parameters.
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