statistical analysis of wave parameters in the north coast of the persian gulf

statistical analysis of wave parameters in the north coast of the persian gulf

;A. Parvaresh;S. Hassanzadeh;M. H. Bordbar
journal of food measurement and characterization 2005 Vol. 23 pp. 2031-2038
115
parvaresh2005annalesstatistical

Abstract

In this study we have analysed wind and wave time series data resulting from hourly measurements on the sea surface in Bushehr, the northern part of the Persian Gulf, from 15 July to 4 August 2000. Wind speed (U10) ranged from 0.34 to 10.38 m/s as alternating sea and land breezes. The lowest wind speed occurs at about midnight and the highest at around noon. The calculated autocorrelation of wind speed data shows that when the sea-land breeze is strong, the land-sea breeze is weak and vice versa. The significant wave height (Hs) varies between 0.10 to 1.02 m. The data of the present study reflects mostly the local waves or the sea waves. The calculated correlation between wind and wave parameters is rather weak, due to the continuous change in the wind direction. Wave height distribution follows the well-known Rayleigh distribution law. The cross correlation analyses between U10 and Hs reveal a time lag of 4h. Finally, we have shown that the time series of U10, Hs, and wave period are stationary. We have modeled these parameters by an auto regressive moving average (ARMA) and auto regressive integrated moving average (ARIMA) models.

Keywords. Oceanography: physical (Air-sea interactions; Surface waves and tides; Upper ocean processes)

Citation

ID: 228103
Ref Key: parvaresh2005annalesstatistical
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
228103
Unique Identifier:
10.5194/angeo-23-2031-2005
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet