Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 23, issue 8
Articles | Volume 23, issue 8
https://doi.org/10.5194/nhess-23-2697-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-2697-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 8
Research article
 | 
01 Aug 2023
Research article |  | 01 Aug 2023

Joint probability analysis of storm surges and waves caused by tropical cyclones for the estimation of protection standard: a case study on the eastern coast of the Leizhou Peninsula and the island of Hainan in China

Zhang Haixia, Cheng Meng, and Fang Weihua

Viewed

Total article views: 4,408 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,865 1,396 147 4,408 201 268
  • HTML: 2,865
  • PDF: 1,396
  • XML: 147
  • Total: 4,408
  • BibTeX: 201
  • EndNote: 268
Views and downloads (calculated since 28 Sep 2022)
Cumulative views and downloads (calculated since 28 Sep 2022)

Viewed (geographical distribution)

Total article views: 4,408 (including HTML, PDF, and XML) Thereof 4,308 with geography defined and 100 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 08 May 2026
Download
Short summary
Simultaneous storm surge and waves can cause great damage due to cascading effects. Quantitative joint probability analysis is critical to determine their optimal protection design values. The joint probability of the surge and wave for the eastern coasts of Leizhou Peninsula and Hainan are estimated with a Gumbel copula based on 62 years of numerically simulated data, and the optimal design values under various joint return periods are derived using the non-linear programming method.
Read more
Share
Altmetrics
Final-revised paper
Preprint