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Browsing by Author "Liaw, Shyne-Ruey"

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    Beach Erosion and Preventive Countermeasure at Kangnan Coast, Taiwan
    (2009-03-01)
    Liou, Jin-Cheng
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    Chang, Hsien-Kuo
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    Chen, Wei-Wei
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    Liaw, Shyne-Ruey
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    土木工程學系
    Kangnan Coast has suffered from beach erosion since the extension of breakwaters and two groins of Hsinchu Fishing Harbor was completed. This is a typical example of human impact on coastal erosion in Taiwan. The aim of this article is to explore the erosion at Kangnan Coast using several analyses, such as shoreline revolution detected from satellite images, planform description of depth variation, volumetric change of bathymetry, and variations in the trends of volumetric changes of the sea bottom. Beach erosion at Kangnan Coast in response to structural effects was quantitatively determined. A suggested countermeasure using submerged detached breakwaters, developed through a 3-year study, is proposed to mitigate beach erosion.
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    Simulated wave-driven ANN model for typhoon waves
    (2011-01-01)
    Chang, Hsien-Kuo
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    Liou, Jin-Cheng
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    Liu, Shen-Jung
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    Liaw, Shyne-Ruey
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    土木工程學系
    This paper investigates an artificial neural network (ANN) model for typhoon waves used to modify poor calculations of the numerical model in special cases. Two key factors, local winds and simulated waves produced by the numerical model, were used as input parameters of the proposed ANN model. The waves were simulated by the numerical model from a wave action equation indicating the physical processes of energy transfer and wave propagation. Simulated wave input is a very important parameter for the proposed ANN model, allowing for the accurate calculation of water waves in the sea. The applicable Mike21_SW model was chosen to provide an accurate calculation. Through model verification, the proposed ANN model has a particularly accurate calculation at the peak of each typhoon and at its occurrence time. The computed waves of each typhoon were examined to be consistent with the observed waves. (C) 2010 Elsevier Ltd. All rights reserved.