Effective Harmonic Analysis With Spectrum Filtering Technique

Z. Peng, Hazel Grant, R. Sproson
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Abstract

A spectrum filtering technique has been introduced to improve harmonic analysis in this study. The impact of site characterization and physical processes have been examined to justify the necessity of applying the spectrum filtering technique following classic harmonic analysis. Investigations show that the imperfection of the harmonic toolbox, e.g. T_Tide, could be attributed to significant contributions to the long period energy of density gradient and background currents, the greater variability of current amplitude energy, and the larger energy surrounding the clustering diurnal and semi-diurnal tidal constituents. From applications on hydrodynamic model data, this study supports the argument that harmonic analysis with the spectrum filtering technique could significantly improve the accuracy of tidal energy and residuals separation.
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基于频谱滤波技术的有效谐波分析
在本研究中,引入了一种频谱滤波技术来改进谐波分析。研究了场地特征和物理过程的影响,以证明在经典谐波分析之后应用频谱滤波技术的必要性。研究表明,谐波工具箱(如T_Tide)的不完善可归因于密度梯度和背景流的长周期能量、电流振幅能量的较大变异性以及聚集日和半日潮汐成分周围的较大能量。从水动力模型数据的应用来看,本研究支持了谐波分析与频谱滤波技术可以显著提高潮汐能和残差分离精度的观点。
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