Next Article in Journal
Two-Stage Pose Estimation for AUV Visual Guidance Using PnP and Binocular Constraints
Previous Article in Journal
Numerical Modeling of Vegetation Influence on Tsunami-Induced Scour Mechanisms
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Study on the Joint Probability Distribution of Hydrodynamic Conditions in Xiamen Bay Based on Copula Functions

1
Fujian Communications Construction Quality and Safety Center, Fuzhou 350300, China
2
Xiamen Road & Bridge Engineering Investment and Development Co., Ltd., Xiamen 361000, China
3
Key Laboratory of Ministry of Education for Coastal Disaster and Protection, Hohai University, Nanjing 210098, China
4
College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2026, 14(4), 404; https://doi.org/10.3390/jmse14040404
Submission received: 9 January 2026 / Revised: 13 February 2026 / Accepted: 17 February 2026 / Published: 23 February 2026
(This article belongs to the Section Ocean Engineering)

Abstract

The Xiamen Bay area is frequently impacted by typhoons and is characterized by a complex hydrodynamic environment. The combined action of waves, currents, and storm surges threatens the construction of the Third Eastern Link. Traditional design methods often overlook the correlations among hydrological variables, potentially leading to overestimated design standards. To address this issue, we developed a high-accuracy multi-driver hydrodynamic numerical model for Xiamen Bay. A high-resolution dataset of waves, currents, and storm surges spanning nearly 20 years was established. Based on the Copula function, a trivariate joint probability distribution of wave–current–storm surge was constructed. The results indicate that the Gamma distribution is the most suitable marginal distribution for the individual variables, and the Clayton Copula function best captures the dependence structure among the three variables. For the same return period, the design values of wave height, current velocity, and water level obtained using the Copula method are lower than those derived using traditional standard methods. The research findings can provide a more scientific and economical design basis for the Third Eastern Link project and serve as a reference for multivariate joint probability modeling in similar sea areas.
Keywords: joint distribution; numerical simulation; Copula; return period joint distribution; numerical simulation; Copula; return period

Share and Cite

MDPI and ACS Style

Lin, X.; Wang, Z.; Shen, Y.; Zhou, C.; Zhou, C. Study on the Joint Probability Distribution of Hydrodynamic Conditions in Xiamen Bay Based on Copula Functions. J. Mar. Sci. Eng. 2026, 14, 404. https://doi.org/10.3390/jmse14040404

AMA Style

Lin X, Wang Z, Shen Y, Zhou C, Zhou C. Study on the Joint Probability Distribution of Hydrodynamic Conditions in Xiamen Bay Based on Copula Functions. Journal of Marine Science and Engineering. 2026; 14(4):404. https://doi.org/10.3390/jmse14040404

Chicago/Turabian Style

Lin, Xuechun, Zheng Wang, Yuwen Shen, Chunyan Zhou, and Changcun Zhou. 2026. "Study on the Joint Probability Distribution of Hydrodynamic Conditions in Xiamen Bay Based on Copula Functions" Journal of Marine Science and Engineering 14, no. 4: 404. https://doi.org/10.3390/jmse14040404

APA Style

Lin, X., Wang, Z., Shen, Y., Zhou, C., & Zhou, C. (2026). Study on the Joint Probability Distribution of Hydrodynamic Conditions in Xiamen Bay Based on Copula Functions. Journal of Marine Science and Engineering, 14(4), 404. https://doi.org/10.3390/jmse14040404

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop