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Separating Storm surge from Tidal Level Based on Wavelet Packet Transform

机译:基于小波包变换的风暴潮与潮位分离

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摘要

W artykule przedstawiono algorytm realizacji transformaty Falkowej, analizuj?cy dane o astronomicznych parametrach ptywów oraz podniesieniu si? poziomu morza w czasie sztormu (nagon). Opracowana metoda pomaga w efektywnym odró?nieniu tych dwóch zjawisk, co ogranicza ryzyko fa?szywego alarmu. Na podstawie rzeczywistych danych, dokonano jej porównania z metodami liniowymi, co wykaza?o sprawniejsze dzia?anie.%A method of wavelet packet transformation (WPT) is presented in this paper, which regards the tidal level as a signal with containing different frequency of astronomical tidal components and storm surge components. The tidal level signal can be decomposed serials of frequency bands signals by using WPT to carry out time-frequency analysis for procuring the representative frequency bands of storm surge. Then the storm surge process gained by reconstructing the exclusive decomposed wavelet packet coefficients. Taken the typhoon NO.9608 measured tidal level of Xiamen tide station as an example, the storm surge calculates by using the presented method, which compared the value calculated by transformation linear method with the measured value. The result shows that the suggested method can preferably separate storm surge and provide a new way to separate storm surge from short-term tidal level material.
机译:本文介绍了小波变换的实现算法,分析了点的天文参数和上升的数据。暴风雨中的海平面(海角)。所开发的方法有助于有效地区分这两种现象,从而降低了误报的风险。基于实际数据,将其与线性方法进行比较,表明操作效率更高。%本文提出了一种小波包变换(WPT)方法,该方法将潮汐水平视为包含不同频率频率的信号。天文潮汐分量和风暴潮分量。通过使用WPT进行时频分析以获取风暴潮的代表性频段,可以将潮汐信号分解为一系列频段信号。然后通过重建排他的分解小波包系数获得风暴潮过程。以厦门潮台站9608号台风实测潮位为例,采用本文提出的方法计算风暴潮,将变换线性法计算的数值与实测值进行比较。结果表明,所提出的方法可以较好地分离风暴潮,并提供一种从短期潮汐水平物质中分离风暴潮的新方法。

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