چكيده به لاتين
Abstract:
Winds are significant importance for marine researchers and engineers in the field of hydrodynamics and wave formation processes, sediment transport and forces on marine structures such as drilling rig and renewable energies like marine turbines. The communication between wind and waves can be recovered at sea. The goal of many researchers in the past is to obtain a proper parametric relationship for the recovery of waves using wind data. The ports and maritime organization has measured wave data in many parts of Iran in coastline tracking project, which is very suitable for assessing wave models, but the most important challenge is the lack of sea-based wind data in many of these areas and high cost To produce such data. In this research, local wind data is recoverd using the local wavelength spectrum in the region. Due to the limited number of wind data measurements, it is possible to retrieve wind data from wave spectrum, thus obtaining information from local winds in many parts of the coast.
In order to extract the wave data from the wave spectrum, parametric methods such as Jonswap are considered first. But to increase accuracy, in the first step, using the Gilhousn-Heravi method, the waves are separated to swell that without direct impact of the wind and seas that are directly affected by the wind. Since the energy and frequency of local waves depend on wind speed, Hesselmann's method is used to retrieve wind data. Data from six areas such as Lake (Huron and Ontario), the Gulf (Persian Gulf and the Gulf of Mexico) and the ocean (northwest coast of the United States) will be verified, and the effects of changes in depth and climate will be examined. The results of this study show that by obtaining local coefficients for the Hesselmann relationship, the local velocity measure is estimated with a proper accuracy.
Keywords: Wind data retrieve,Separation of swell and seas,Gilhusen,Hasselmann