Investigations into Temporal Variation Characteristics of Near-shore Waves

  • Lizhe Liu
  • , Hexu Wang
  • , Haokai Yang
  • , Yaqi Wang
  • , Lei Ren
  • , Michael Hartnett

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

Abstract

Analysis of the temporal distribution characteristics of waves can evaluate the temporal distribution status of regional wave energy resources. In this paper, wave dataset from an offshore wave buoy was used, annual and seasonal variation characteristics of significant wave height and zero-crossing wave period were analyzed. Joint frequency distribution between wave height and wave period was established by using Copula function to analyze their correlations.

Original languageEnglish
Title of host publication2021 7th International Conference on Hydraulic and Civil Engineering and Smart Water Conservancy and Intelligent Disaster Reduction Forum, ICHCE and SWIDR 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1662-1666
Number of pages5
ISBN (Electronic)9781665408653
DOIs
Publication statusPublished - 2021
Event7th International Conference on Hydraulic and Civil Engineering and Smart Water Conservancy and Intelligent Disaster Reduction Forum, ICHCE and SWIDR 2021 - Nanjing, China
Duration: 6 Nov 20218 Nov 2021

Publication series

Name2021 7th International Conference on Hydraulic and Civil Engineering and Smart Water Conservancy and Intelligent Disaster Reduction Forum, ICHCE and SWIDR 2021

Conference

Conference7th International Conference on Hydraulic and Civil Engineering and Smart Water Conservancy and Intelligent Disaster Reduction Forum, ICHCE and SWIDR 2021
Country/TerritoryChina
CityNanjing
Period6/11/218/11/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Copula
  • statistical analysis
  • wave

Fingerprint

Dive into the research topics of 'Investigations into Temporal Variation Characteristics of Near-shore Waves'. Together they form a unique fingerprint.

Cite this