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Shoreline Response to Three Submerged Offshore Breakwaters along Kerteh Bay Coast of Terengganu

Tunji, Lawal Abdul Qayoom and Hashim, Ahmad Mustafa and Wan Yusof, Khamaruzaman (2012) Shoreline Response to Three Submerged Offshore Breakwaters along Kerteh Bay Coast of Terengganu. [Citation Index Journal]

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Abstract

This study will attempt to create a predictive empirical model exclusively for SBWs (submerged breakwaters) in terms of mode (erosion or accretion) and magnitude (size of salient) of formation. In the past,prediction of shoreline response to SBWs was done based on predictive empirical model for generalized offshore breakwaters (Submerged & Emerged). But majority of documented response of prototype submerged structures result in erosion rather than accretion in there lee. It is believed that these structures don’t perform as expected because a generalized predictive empirical model is used to predict the shoreline response to these structures. A numerical model MIKE 21 CAM and aerial/satellite imagery will be adopted to deduce relationships between structural and environmental parameters, which will result in formation of a predictive empirical model. An ideal prototype of SBWs is available in Kerteh, Terengganu, Malaysia. This will serve as a study area and the results from the Numerical model and aerial/satellite images will be validated with results from the study area. The predictive empirical model will as well be tested on the study area. It is expected that a contribution will be made towards the understanding of the key parameters that governs the mode (i.e., erosion and accretion) and the magnitude (i.e., size of salient) of shoreline response to SBWs. It is also expected that a predictive empirical model will be established to accurately predict shoreline response in terms of mode and magnitude of SBWs.

Item Type:Citation Index Journal
Uncontrolled Keywords:Aerial/satellite imagery; coastal erosion; numerical modeling; predictive model; submerged breakwater
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Departments / MOR / COE:Departments > Civil Engineering
Research Institutes > Deep Water Technology
ID Code:7834
Deposited By: AP Ahmad Mustafa Hashim
Deposited On:14 Aug 2012 03:09
Last Modified:19 Jan 2017 08:21

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