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首页> 外文期刊>Research journal of applied science, engineering and technology >Shoreline Response to Three Submerged Offshore Breakwaters along Kerteh Bay Coast of Terengganu
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Shoreline Response to Three Submerged Offshore Breakwaters along Kerteh Bay Coast of Terengganu

机译:丁加奴州克特赫湾沿岸的三个水下近海防波堤的海岸线响应

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摘要

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.
机译:这项研究将尝试针对地层波(淹没式防波堤)的形成方式(侵蚀或增生)和幅度(突显大小)创建专门的预测经验模型。过去,对海岸线对SBW的响应的预测是基于广义离岸防波堤(淹没和淹没)的预测经验模型进行的。但是,大多数文献记载的原型淹没结构的响应都会导致那里的泥土被侵蚀而不是积聚。人们认为这些结构的性能不如预期,因为使用了广义的预测经验模型来预测海岸线对这些结构的响应。将采用数值模型MIKE 21 CAM和航空/卫星图像来推导结构参数与环境参数之间的关系,这将导致形成预测经验模型。 SBW的理想原型可在马来西亚登嘉楼的Kerteh获得。这将作为研究区域,数值模型和航空/卫星图像的结果将通过研究区域的结果进行验证。预测经验模型也将在研究区域进行测试。预计将有助于理解控制SBWs的海岸线响应方式(即侵蚀和增生)和幅度(即凸度大小)的关键参数。还预期将建立预测性经验模型,以根据SBW的模式和幅度准确预测海岸线响应。

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