Applications of EMD to analyses of high-frequency beachface responses to Storm Bebinca in the Qing’an Bay, Guangdong Province, China

Hu, Taihuan; Li, Zhiqiang; Zeng, Chunhua; Li, Gaocong; Zhang, Huiling

doi:10.1007/s13131-021-1948-2

Cited by 5 publications

(3 citation statements)

References 54 publications

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“…Spectral analysis is a mature method for studying wave structures and is widely used in the study of surf zones (Puleo et al, 2014;Hu et al, 2022). To analyze the depth, velocity, and BLE during beach recovery, taking T8 with the longest tidal cycle duration as an example, the depth and velocity were resampled to the recording frequency corresponding to the PAA, and the bed level during this cycle was fully influenced by depth and velocity.…”

Section: Very-low-frequency Pulsation In the Surf Zonementioning

confidence: 99%

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Bed level changes in the surf zone during post-storm beach recovery

Hu,

Li,

Zeng

et al. 2023

Front. Mar. Sci.

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The study of post-storm beach recovery is important for economic development and the protection of life in coastal areas. In this study, field observations were conducted for 21 days in the surf zone of Dongdao Beach, Hailing Island, China, after tropical storm “Cempaka”. Data on depth, wave, Eulerian velocity, sediment, three-dimensional topography of the beach, and high-frequency variations in bed-level elevation were collected. The results showed that the beach experienced medium- to low- to medium-energy waves during field observations and covered two complete astronomical tide cycles. Contrary to the effect of wave energy conditions on beaches under normal wave conditions, a higher wave energy during beach recovery can promote silting and accelerate beach recovery. Tidal water level is an important factor affecting beach restoration, and a smaller tidal range is conducive to beach accretion. In a mixed semidiurnal tide, beach erosion and accretion occurred in the “highest tide” and “sub-highest tide” tidal cycles, respectively, and the combined effect of the two affected the change in the bed level in a mixed semidiurnal tide. After the storm, the hydrodynamic forcing mechanism and self-organization process of the sand bar jointly drove the formation of the topography of the bar channel in the surf zone. After the storm stopped, the spectral energy in free surface elevation was mainly distributed in the very low frequency and decayed rapidly at the infragravity band. The very low-frequency pulsation of the surf zone during recovery is a prominent feature of bed-level elevation, depth, and velocity. This study provides a good case for the study of hydrodynamic and bed level changes in the post-storm surf zone, as well as a reference for future studies of the intrinsic mechanisms post-storm beach recovery processes around the world.

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Section: Very-low-frequency Pulsation In the Surf Zonementioning

confidence: 99%

“…Conducting field observations during storms is both difficult and dangerous. Nevertheless, some researchers have performed simultaneous measurements of hydrodynamics and bed level changes during storms (Zeng et al, 2020;Hu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Bed level changes in the surf zone during post-storm beach recovery

Hu,

Li,

Zeng

et al. 2023

Front. Mar. Sci.

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“…Hilbert-Huang transform (HHT) is a nonlinear and non-stationary signal analysis method proposed by Huang et al [3] in 1998, which includes empirical mode decomposition (EMD) and Hilbert spectrum analysis. This method has been widely used in fault diagnosis [4], transformer's winding faults [5], power prediction [6,7], and several other fields [8][9][10]. However, the EMD has issues with endpoint effect [11] and modal confusion [12,13], which results in false components and makes it difficult to extract fault frequency.…”

Section: Introductionmentioning

confidence: 99%

Study of slope integral extension mode decomposition method for bearing-nonlinear vibration signal

Dai¹,

Huang²,

Shi³

2023

J. vibroeng.

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This study aims to solve the problem of extreme point ambiguity caused by energy instability at the signal end. Thus, an adaptive nonlinear signal decomposition method based on motion energy accumulation division is proposed, namely slope integral extension mode decomposition (SIEMD). The proposed method considers the fluctuation rate and vibration energy between the peaks of the waveform as its scale. Firstly, the comprehensive index is defined to adaptively select the ideal interval, and the extension characteristics of the waveform signal are obtained. Secondly, the energy of the waveform interval is iterated. Hence, the optimal extension waveform is fitted by combining the edge position information of the curve. The experimental part verifies that the method can extract 92 % of the fault information, and verifies that the proposed method overcomes the limitation of the previous one-dimensional signal waveform dimension. Moreover, from the perspective of signal energy, it eliminates the false information of the intrinsic modal function (IMF) components, more suitable for the randomness of the signal, thereby providing a new way for fault feature extraction.

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Coastal erosion risk assessment of Hainan Island, China

Su,

Li,

et al. 2023

Acta Oceanol. Sin.

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Applications of EMD to analyses of high-frequency beachface responses to Storm Bebinca in the Qing’an Bay, Guangdong Province, China

Cited by 5 publications

References 54 publications

Bed level changes in the surf zone during post-storm beach recovery

Bed level changes in the surf zone during post-storm beach recovery

Study of slope integral extension mode decomposition method for bearing-nonlinear vibration signal

Coastal erosion risk assessment of Hainan Island, China

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