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  1. Myanmar Maritime University
  2. Department of Port and Harbour Engineering

Prediction of Wave Characteristics along Myanmar Coast Line

http://hdl.handle.net/20.500.12678/0000007238
http://hdl.handle.net/20.500.12678/0000007238
6e0f60e1-4ec2-41ea-9529-dbab564305c0
e69a95fd-fb5f-407a-8372-46d30c4e91f0
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Publication type
Journal article
Upload type
Publication
Title
Title Prediction of Wave Characteristics along Myanmar Coast Line
Language en
Authors
Saw Nu Sanda Thein
YANG HuaLong
LIU ZhongBo
Description
According to the instant development of maritime transport all over the world,
Myanmar, as a developing country, also needs to upgrade existing ports and to construct
new deep sea ports for larger vessels. There are some potential areas for deep sea port
project along Myanmar coastline. Due to the absence of long-term in-situ data and high
cost of wave measurements, coastal engineers have to estimate wave characteristics using
a variety of methods, which involve empirical and numerical solutions. The main
purpose of this research is to predict the wave characteristics for coastal regions of
Myanmar by using a third-generation numerical wave model SWAN (Simulating WAves
Nearshore). In this article, the generation of waves by a constant wind filed blowing over
a fetch limited area is presented firstly and the results are compared with empirical
formulae for validation. The simulated wave parameters are well agreed with the results
from empirical equations. And then, numerical simulation is carried out with actual wind
field for the duration of average maximum wind speed in the Bay of Bengal in monsoon
season. The calculated results are compared with the ECMWF (European Centre for
Medium-Range Weather Forecasts) ERA-Interim reanalysis data sets. Finally, the wave
characteristics for future port development areas are predicted.
Keywords
SWAN Wave Model, Wind-generated Wave, Numerical Simulation, Wave Characteristics, Monsoon Season
Journal articles
11
Journal of International Academic Research for Multidisciplinary (JIARM)
35-48
6
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