Application of Empirical Orthogonal Function Models to Analyze Shoreline Change at Bangkalan Madura

IF 0.2 Q4 ENGINEERING, MULTIDISCIPLINARY Makara Journal of Technology Pub Date : 2011-11-01 DOI:10.7454/MST.V15I2.933
Darius Arkwright, Suntoyo
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Abstract

Bangkalan’s shoreline, especially on the opposite side of Surabaya, has been evaluated to determine the morphological changes due to wave attack, near-shore current, long-shore sediment transport and coastal configuration. This research aims to determine the dominant patterns of variation of Bangkalan’s shoreline change, expressed by Eigen-function in empirical orthogonal function (EOF) models. That was started with data collection such as oceanographic data (wave and tidal), bathymetry and topographic map and sediment data. All data was used for forecasting two-monthly shoreline. Coordinate of two-monthly shoreline was used as input of EOF model. The first Eigen mode is a profile of shoreline equilibrium. The second Eigen mode shows pivot point that separates the different behaviors, which indicates a positive balance of shoreline from the direction of the dominant force. The models execution based on 1986’s shoreline show the shoreline change significantly at some cells e.g. around Suramadu bridge (cell 1-40), Batuporon (cell 70-100), Jungdima (cell 142-170) and at Kamal port (cell 230-250). The model of shoreline change using EOF was validated with the One-line model and data of 1995’s map’s shoreline. The E.O.F. value of model RMSE, 0.02, is less than the root mean square error (RMSE) value of One-line model, 0.04, which shows that the EOF model performance better than One-line models.
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应用经验正交函数模型分析Bangkalan Madura岸线变化
Bangkalan的海岸线,特别是泗水对面的海岸线,已经被评估,以确定波浪攻击,近岸水流,长岸沉积物运输和海岸配置造成的形态变化。本研究旨在确定邦卡兰岸线变化的主导变化模式,并在经验正交函数(EOF)模型中用特征函数表示。这是从数据收集开始的,如海洋学数据(波浪和潮汐)、测深和地形图以及沉积物数据。所有数据用于预测两个月的海岸线。EOF模型以两个月岸线坐标作为输入。第一个特征模态是海岸线平衡剖面。第二个特征模态显示了分离不同行为的枢轴点,这表明海岸线与主导力方向的正平衡。根据1986年的海岸线执行的模型显示,在苏拉玛杜大桥(1-40号)、巴图波隆(70-100号)、Jungdima(142-170号)和Kamal港(230-250号)周围,一些单元的海岸线发生了显著变化。利用单线模型和1995年地图岸线数据对EOF模型进行了验证。模型RMSE的E.O.F.值为0.02,小于One-line模型的均方根误差(RMSE)值0.04,说明EOF模型的性能优于One-line模型。
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来源期刊
Makara Journal of Technology
Makara Journal of Technology ENGINEERING, MULTIDISCIPLINARY-
自引率
0.00%
发文量
13
审稿时长
20 weeks
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