Prediction of Wave Height of Wind-Generated Seas in Finite Water Depth.

Abstract

This paper presents a method to statistically predict peaks, troughs, and peak-to-trough excursions of waves in finite water depth such as waves in harbors, bays, and near-shore and offshore seas. The probability density functions are developed based on the concept that waves in finite water depth are a non-Gaussian random process with parameters which depends on the sea severity and water depth. As an example of application of the present method, numerical computations are carried out for water depth of 8.8 m (28.8 ft) in a sea of significant wave height of 3.2 m (104 ft). The results of computation show that the newly-developed probability density functions of peaks and troughs both reasonably agree with the histograms constructed from measured data obtained during the ARSLOE Project. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1984
Accession Number
ADA145996

Entities

People

  • M. K. Ochi
  • W. C. Wang

Organizations

  • University of Florida

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Coastal Engineering
  • Deep Water
  • Distribution Functions
  • Engineering
  • Gaussian Distributions
  • Military Research
  • Normal Distribution
  • Ocean Waves
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Shallow Water
  • Statistical Analysis
  • Statistical Distributions
  • Water
  • Waves

Readers

  • Coastal Oceanography
  • Marine Hydrodynamics
  • Statistical inference.