Modelling Tidal Flow Hydrodynamics of Sunda Strait, Indonesia

M. B. Pratama, V. Venugopal, Harman Ajiwibowo, Juventus Welly Radianta Ginting, F. Novico
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引用次数: 4

Abstract

In the past years, Indonesian people put more attention to Sunda Strait located between Java and Sumatra Islands, one of the busiest straits occupied with residential, recreational, fisheries, transportation, industrial and mining activities. Previous works on numerical modelling of tidal flow hydrodynamics of the Sunda Strait have resulted in good agreement against field data; however, the calibration of the models used was not described in detail. This paper presents the process of setting up the model, extensive calibration, validation and prediction of tidal currents for the Sunda Strait. A two-dimensional tidal-driven model is constructed using Delft3D, an open-source developed by Deltares. Four different bathymetry datasets, four different boundary condition configurations, and various bed roughness values are used, and their suitability in predicting tidal water level and current are investigated. It is found that changing the bathymetry and boundary conditions improve the model validation significantly. GEBCO_2019 bathymetry dataset outperforms the Batnas, even though it has a coarser resolution. For boundary conditions, the combination of water level and current velocity results in a better validation compares to using water level or current velocity only. However, the bed roughness shows an insignificant influence in predicting tidal conditions. The averaged current velocity is lower at the Southern than the Northern side of the strait due to a larger cross-section, consequence of deeper water. High tidal currents of magnitude around 2 m.s -1 are seen at the bottleneck of the strait.
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印尼巽他海峡潮汐流流体动力学模拟
巽他海峡位于爪哇岛和苏门答腊岛之间,是印尼最繁忙的海峡之一,居住、娱乐、渔业、交通、工矿等活动都集中在巽他海峡。以往关于巽他海峡潮汐流体动力学的数值模拟工作与实测数据吻合较好;然而,所使用的模型的校准没有详细描述。本文介绍了巽他海峡潮流模型的建立、大量定标、验证和预测的过程。利用Delft3D (Deltares开发的开源软件)构建二维潮汐驱动模型。利用4种不同的水深数据集、4种不同的边界条件配置和不同的河床粗糙度值,研究了它们在预测潮汐水位和潮流中的适用性。研究发现,改变水深和边界条件可以显著提高模型的有效性。GEBCO_2019测深数据集优于Batnas,尽管它的分辨率更粗糙。对于边界条件,与仅使用水位或流速相比,水位和流速的组合效果更好。而河床粗糙度对潮汐条件的预测影响不显著。由于水深较深,海峡南侧的平均流速比海峡北侧低,断面较大。在海峡的瓶颈处可以看到2毫秒-1左右的高潮汐流。
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