Implementation of Regression Method in Tidal Principal Components
Publish place: 10th International Congress on Civil Engineering
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICCE10_0541
تاریخ نمایه سازی: 19 تیر 1394
Abstract:
Considering the importance and role of tidal phenomena in the maritime, offshore structures and Hydrography; Creating and editing charts of the amplitude and phase of Persian Gulf tidal, can contribute to studies of the sea to make appropriate decisions. The purpose of this study is mapping locally the tidal amplitude and phase of the Persian Gulf and Oman Sea. Mean Sea Level (MSL) in different countries typically is determined by using spectral analysis of tide gauges observations. By using coastal tide gauges information available at Iranian Surveying Organization - scattered throughout the study area- the exact levels will be determined. By the means of sea level height observations, time series has been collected in Persian Gulf. The harmonic components of sea are fixed for each region and they are virtually unchangeable over time.Tidal phenomena can be studied by using mathematical and astronomical model. In this study, using a written code in Matlab Software can calculate all known components of the tidal potential of the Persian Gulf. In order to have a good comparison, data has been given to DHIMike21 Software and are compared with the results of the Matlab code and the results are drawn range.
Authors
Hamidreza Rabiefar
Assistant Professor, Department of Civil Engineering, Islamic Azad University-South Tehran Branch, Tehran, Iran
Narjes Bagheri
M.Sc., Department of Civil Engineering, Islamic Azad University-South Tehran Branch, Tehran, Iran
Mahyar Pourlak
Ph.D. Candidate in Civil Engineering, Hydraulic Structures, Qom University, Iran. Member of Young Researchers Club - Islamic Azad University South Tehran Branch, Tehran, Iran
Mehrdad Sabzevari
D. Candidate, Division of Geodesy and Geoinformatics, Drottning Kristinas väg ۳۰, Royal Institute of Technology (KTH), Stockholm, Sweden
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