Hostname: page-component-89b8bd64d-nlwjb Total loading time: 0 Render date: 2026-05-09T07:24:42.193Z Has data issue: false hasContentIssue false

Propagation of underwater wave groups in a compressible ocean coupled with an elastic seafloor

Published online by Cambridge University Press:  02 October 2024

Umesh A. Korde*
Affiliation:
Environmental and Health Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
*
Email address for correspondence: ukorde1@jhu.edu

Abstract

The overall system of interest is an infinite half-space in which a compressible ocean is the top layer and an elastic seafloor (together with the crust beneath) forms a semi-infinite bottom layer. Whereas water-column compression waves and seafloor waves individually have received considerable attention, not much is known about their propagation as groups. This work utilizes the group behaviour of these waves to derive energy balance relations for wavenumber spectra for wave groups propagating through a mildly non-uniform water-column–seafloor system. Dispersion relations for the coupled system are derived using known kinematic and kinetic conditions at the interface, and free and forced wave solutions for the wavenumber spectra are obtained, with particular attention to the case when certain frequency–wavenumber combinations in the forcing excite the two-media system into resonance. Wavenumber spectra predicted using the theory for mildly non-uniform media are found to be close to those predicted assuming uniform media, though the effect of non-uniformity becomes more noticeable as the groups propagate farther from the generation area. Here, nonlinear interactions among stationary, random multi-directional surface-wave fields provide the forcing for groups of compression waves in the water and surface waves on the seafloor. The formulation includes the cumulative effect of multiple generation areas along the group propagation direction. Comparisons with observational data from a sensor array in the Atlantic Ocean indicate that the theory can be applied to reconstruct plausible combinations of generation areas and interaction times that are consistent with the measured data, for deriving approximate predictions at down-wave distances along the group propagation directions. Implications of this and other findings are discussed for (i) the potential for energy conversion from water-column compression waves on the seafloor, (ii) tracking of tropical cyclones from the seafloor, and (iii) quantification and comparative assessment of low-frequency mid-ocean ambient noise and microseism activity.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press.
Figure 0

Figure 1. Schematic sketch (not to scale) providing an overview of the system being studied, along with some definitions.

Figure 1

Figure 2. Schematic overview of the dynamics, with the interacting surface waves on the free surface, the acoustic-gravity waves and the Scholte waves. The cross-bars on the arrows provide a notional indication of the wavelengths of the surface waves and the acoustic-gravity and Scholte waves.

Figure 2

Figure 3. Schematic concept diagram illustrating the interaction between two surface waves with wavenumbers ${\boldsymbol \kappa }$ and ${\boldsymbol \kappa }'$ at frequencies $\sigma _1$ and $\sigma _2$. When two surface waves are nearly parallel, their interaction would lead to a horizontal wavenumber ${\boldsymbol k}$ that may be too large to lie on the dispersion surface for the acoustic-gravity–Scholte wave system (a), though with nearly opposing surface waves, the resulting horizontal wavenumber is small enough to lie on the dispersion surface (b), so resonant energy transfer can occur. The contribution of wave components like (b) will therefore dominate the integral in (5.7).

Figure 3

Figure 4. Approximate bathymetry plot showing the location of the sensor array deployed during April 2013 as part of a wider study on the Rainbow hydrothermal field (Canales et al.2013; Dunn et al.2017). The array is comprised of 46 sensor stations spanning an area $80\,\textrm {km} \times 32\,\textrm {km}$, with average inter-sensor spacing 7 km (Dunn et al.2017). Data from sensor station rows 2 and 3 are used further in this work, including pressure–frequency variations for the sensors marked with circles around them. This figure was generated by Joey Stanley, Johns Hopkins University.

Figure 4

Table 1. Hindcast data (ERDDAP 2022) at 36.5$^\circ$N, 32.5$^\circ$W, north-east of the sensor array location (Canales et al.2013). Data from hour 00:00 to 01:00 UTC on 27 April 2013 (highlighted) are used to provide conditions at generation area 1.

Figure 5

Table 2. Hindcast data (ERDDAP 2022) at 36$^\circ$N, 34$^\circ$W (Canales et al.2013). This is the nominal location of the array. These data provide the conditions for generation areas 2–5. Data from hour 00:00 to 01:00 UTC on 27 April 2013 (highlighted) are used.

Figure 6

Figure 5. Phase velocity variations used in the seafloor half-space and in the water column. Graphs plot the relations outlined in (6.1). (a) Seafloor phase velocities. (b) In-water phase velocity.

Figure 7

Figure 6. Dispersion curves for the first three modes of the acoustic-gravity–Scholte wave system, as represented in terms of the normalized frequency $\omega$ and the ratio of the phase speeds of the seafloor Scholte wave and the water-column acoustic-gravity wave. Solutions for the three modes as detected by numerical search were plotted after rejecting spurious roots and replacing clear outliers with linearly interpolated values.

Figure 8

Figure 7. Second-order pressure evaluated at the surface with the method of § 5.

Figure 9

Figure 8. Group velocity variation in the horizontal plane and in the vertical direction with mild non-uniformity in the media. Group velocities without non-uniformities are shown for comparison. (a) Horizontal $(x_1, x_2)$ plane. (b) Vertical direction $y$.

Figure 10

Figure 9. Comparison of terms arising from non-uniformity in the media in (3.27), relative to $1/t$. The effect of non-uniformity builds over time and eventually will exceed $1/t$. Distance travelled by a group is group velocity $\times$ time.

Figure 11

Figure 10. Wavenumber spectra for seafloor pressure and Scholte wave displacements for the two wave groups with and without non-uniformity, as found based on § 3: (a) $S_a({\boldsymbol k})$ over $x_1$, (b) $S_{a}({\boldsymbol k})$ over $x_2$, (c) $S_r({\boldsymbol k})$ over $x_1$, (d) $S_{r}({\boldsymbol k})$ over $x_2$.

Figure 12

Figure 11. (a) Relative errors due to the uniformity assumption relative to the mild-uniformity results. The differences are seen to be small. (b) Relative difference between the wavenumber spectra predicted by the two techniques discussed in the text (§§ 3 and 3.1.1). The difference is smallest at the edge of the generation area.

Figure 13

Figure 12. Variation of the power and Scholte wave amplitudes with distance from a single generation area north-east of the array for two wave groups.

Figure 14

Figure 13. Fourier coefficients for pressure and Scholte wave amplitudes with distance from a single generation area north-east of the array for two wave groups.

Figure 15

Figure 14. Representative observational data: measurements during the same hour at selected stations.

Figure 16

Figure 15. Sensor measurements during UTC 00:00 to 01:00 on 27 April 2013, showing the recorded values in Pa for groups 1 and 2. Also shown are approximate locations of plausible generation areas and the propagation direction of the wave groups.

Figure 17

Figure 16. Pressure variation with multiple generation areas with areas and interaction times along with sensor measurements in two rows in the array. (a) Sensor-recorded pressure amplitudes for the group 1 plot are for $\omega = 1.04$ rad s$^{-1}$. (b) Sensor amplitudes for the group 2 plot are at $\omega = 1.2$ rad s$^{-1}$.

Figure 18

Figure 17. Scholte wave amplitude variation with multiple generation areas with areas and interaction times: (a) group 1, (b) group 2.

Supplementary material: File

Korde supplementary material

Korde supplementary material
Download Korde supplementary material(File)
File 301 KB