journal article·2022-09-23Open access

Peculiarities of the HVSR Method Application to Seismic Records Obtained by Ocean-Bottom Seismographs in the Arctic

Artem A. Krylov, Mikhail E. Kulikov, Sergey A. Kovachev, Igor P. Medvedev, Leopold I. Lobkovsky, Igor P. Semiletov

Applied Sciences· Volume 12· Issue 19

Abstract

The application of the horizontal-to-vertical spectral ratio (HVSR) modeling and inversion techniques is becoming more and more widespread for assessing the seismic response and velocity model of soil deposits due to their effectiveness, environmental friendliness, relative simplicity and low cost. Nevertheless, a number of issues related to the use of these techniques in difficult natural conditions, such as in the shelf areas of the Arctic seas, where the critical structures are also designed, remain poorly understood. In this paper, we describe the features of applying the HVSR modeling and inversion techniques to seismic records obtained by ocean-bottom seismographs (OBS) on the outer shelf of the Laptev Sea. This region is characterized by high seismotectonic activity, as well as sparse submarine permafrost distribution and the massive release of bubble methane from bottom sediments. The seismic stations were installed for one year and their period of operation included periods of time when the sea was covered with ice and when the sea was ice-free. The results of processing of the recorded ambient seismic noise, as well as the wave recorder data and ERA5 and EUMETSAT reanalysis data, showed a strong dependence of seafloor seismic noise on the presence of sea ice cover, as well as weather conditions, wind speed in particular. Wind-generated gravity waves, as well as infragravity waves, are responsible for the increase in the level of ambient seismic noise. The high-frequency range of 5 Hz and above is strongly affected by the coupling effect, which in turn also depends on wind-generated gravity waves and infragravity waves. The described seafloor seismic noise features must be taken into account during HVSR modeling and interpretation. The obtained HVSR curves plotted from the records of one of the OBSs revealed a resonant peak corresponding to 3 Hz, while the curves plotted from the records of another OBS did not show clear resonance peaks in the representative frequency range. Since both OBSs were located in the area of sparse distribution of submarine permafrost, the presence of a resonance peak may be an indicator of the presence of a contrasting boundary of the upper permafrost surface under the location of the OBS. The absence of a clear resonant peak in the HVSR curve may indicate that the permafrost boundary is either absent at this site or its depth is beyond the values corresponding to representative seismic sensor frequency band. Thus, HVSR modeling and inversion techniques can be effective for studying the position of submarine permafrost.
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Research context

OpenAlex topics: Seismic Imaging and Inversion Techniques · Seismic Waves and Analysis · Methane Hydrates and Related Phenomena

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Shirshov Institute of Oceanology, Russian Academy of Sciences, 36, Nakhimovskiy Prospekt, 117997 Moscow, Russia

Institute of Natural Resources, Tomsk State University, 36, Lenina Prospekt, 634050 Tomsk, Russia

Moscow Institute of Physics and Technology, 9, Institutsky Lane, 141700 Dolgoprudny, Russia

V.I. Il’ichev Pacific Oceanological Institute, Far Eastern Branch of the Russian Academy of Sciences, 43, Baltijskaya St., 690041 Vladivostok, Russia

Funding

Ministry of Science and High Education of the Russian Federation · Tomsk State University · Russian Foundation for Basic Research

References (64)

Show source-provided references
1. Microtremor HVSR analysis of heterogeneous shallow sedimentary structures at Pohang, South Korea10.1093/jge/gxaa035 ↗
2. The horizontal-to-vertical spectral ratio and its applications10.1186/s13634-021-00765-z ↗
3. Seismic Noise H/V Spectral Ratio Can Be Inverted Jointly with Receiver Functions10.1134/S1069351321040017 ↗
4. Using Microseisms for Seismic Microzoning10.3103/S0747923922040053 ↗
5. On the amplitude characteristics of microtremor (Part 2)
6. A method for dynamic characteristics estimations of subsurface using microtremors on the ground surface
7. Laptev Sea Rifted Continental Margin: Modern Knowledge and Unsolved Questions
8. Eurasia spreading basin to Laptev Shelf transition: Structural pattern and heat flow10.1046/j.1365-246X.2003.01882.x ↗
9. Structure of the Khatanga–Lomonosov Fracture Zone according to Seismic Data10.1134/S1028334X19070286 ↗
10. Khatanga-Lomonosov fault zone: Structure, tectonic position and geodynamics
11. Results of Permafrost Modelling of the Lowlands and Shelf of the Laptev Sea Region, Russia10.1002/ppp.387 ↗
12. Modeling sub-sea permafrost in the East Siberian Arctic Shelf: The Laptev Sea region10.1029/2012JF002358 ↗
13. Matveeva, T.V., Kaminsky, V.D., Semenova, A.A., and Shchur, N.A. (2020). Factors Affecting the Formation and Evolution of Permafrost and Stability Zone of Gas Hydrates: Case Study of the Laptev Sea. Geosciences, 10.10.3390/geosciences10120504 ↗
14. Permafrost, Gas Hydrates and Gas Seeps in the Central Part of the Laptev Sea10.1134/S1028334X2109004X ↗
15. Distribution of permafrost and gas hydrates in relation to intensive gas emission in the central part of the Laptev Sea (Russian Arctic)10.1016/j.marpetgeo.2022.105527 ↗
16. The East Siberian Arctic Shelf: Towards further assessment of permafrost-related methane fluxes and role of sea ice10.1098/rsta.2014.0451 ↗
17. Current rates and mechanisms of subsea permafrost degradation in the East Siberian Arctic Shelf10.1038/ncomms15872 ↗
18. Shakhova, N., Semiletov, I., and Chuvilin, E. (2019). Understanding the Permafrost–Hydrate System and Associated Methane Releases in the East Siberian Arctic Shelf. Geosciences, 9.10.3390/geosciences9060251 ↗
19. Source apportionment of methane escaping the subsea permafrost system in the outer Eurasian Arctic Shelf10.1073/pnas.2019672118 ↗
20. Submarine permafrost depth from ambient seismic noise10.1002/2015GL065409 ↗
21. Kneier, F. (2019). Subsea Permafrost in the Laptev Sea: Influences on Degradation, State and Distribution. [Ph.D. Dissertation, Universität Potsdam].
22. The Seismotectonics and Seismicity of the Laptev Sea Region: The Current Situation and a First Experience in a Year-Long Installation of Ocean Bottom Seismometers on the Shelf10.1134/S0742046320060044 ↗
23. Krylov, A.A., Alekseev, D.A., Kovachev, S.A., Radiuk, E.A., and Novikov, M.A. (2021). Numerical Modeling of Nonlinear Response of Seafloor Porous Saturated Soil Deposits to SH-Wave Propagation. Appl. Sci., 11.10.3390/app11041854 ↗
24. Krylov, A.A., Egorov, I.V., Kovachev, S.A., Ilinskiy, D.A., Ganzha, O.Y., Timashkevich, G.K., Roginskiy, K.A., Kulikov, M.E., Novikov, M.A., and Ivanov, V.N. (2021). Ocean-Bottom Seismographs Based on Broadband MET Sensors: Architecture and Deployment Case Study in the Arctic. Sensors, 21.10.3390/s21123979 ↗
25. Krylov, A.A., Kovachev, S.A., Radiuk, E.A., Roginskiy, K.A., Novikov, M.A., Samylina, O.S., Lobkovsky, L.I., and Semiletov, I.P. (2022). MatNERApor—A Matlab Package for Numerical Modeling of Nonlinear Response of Porous Saturated Soil Deposits to P- and SH-Waves Propagation. Appl. Sci., 12.10.3390/app12094614 ↗
26. Hersbach, H., de Rosnay, P., Bell, B., Schepers, D., Simmons, A.J., Soci, C., Abdalla, S., Balmaseda, M.A., Balsamo, G., and Bechtold, P. (2018). Operational Global Reanalysis: Progress, Future Directions and Synergies with NWP, European Centre for Medium Range Weather Forecasts.
27. (2021, April 29). OSI SAF Global Sea Ice Concentration Climate Data Record v2.0—Multimission, EUMETSAT SAF on Ocean and Sea Ice. Available online: https://navigator.eumetsat.int/product/EO:EUM:DAT:MULT:OSI-450.
28. Havskov, J., and Ottemoller, L. (2010). Routine Data Processing in Earthquake Seismology with Sample Data, Exercises and Software, Springer.10.1007/978-90-481-8697-6 ↗
29. Rabiner, L.R., and Schafer, R.W. (1978). Digital Processing of Speech Signals, Prentice-Hall.
30. Oppenheim, A.V., Schafer, R.W., and Buck, J.R. (1999). Discrete-Time Signal Processing, Prentice Hall. [2nd ed.].
31. Hlawatsch, F., and Auger, F. (2008). “Reassignment”. Time-Frequency Analysis: Concepts and Methods, ISTE/John Wiley and Sons.10.1002/9780470611203 ↗
32. Algorithms for computing the time-corrected instantaneous frequency (reassigned) spectrogram, with applications10.1121/1.2133000 ↗
33. The use of Fast Fourier Transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms10.1109/TAU.1967.1161901 ↗
34. Geopsy: A User-Friendly Open-Source Tool Set for Ambient Vibration Processing10.1785/0220190360 ↗
35. (2004). Guidelines for the Implementation of the H/V Spectral Ration Technique on Ambient Vibrations Measurements, Processing and Interpretation, European Commission. SESAME European Research Project WP12–Deliverable D23.12, European Commission–Research General Directorate Project No. EVG1-CT-2000-00026, SESAME.
36. Automatic earthquake recognition and timing from single traces10.1785/BSSA0680051521 ↗
37. Automatic phase pickers: Their present use and future prospects10.1785/BSSA07206B0225 ↗
38. OpenHVSR: Imaging the subsurface 2D/3D elastic properties through multiple HVSR modeling and inversion10.1016/j.cageo.2016.05.009 ↗
39. Calculation of surface motions of a layered half-space10.1785/BSSA0600051625 ↗
40. Munk, W.H. (1950, January 1). Origin and generation of waves. Proceedings of the 1st International Conference on Coastal Engineering, Long Beach, CA, USA.10.9753/icce.v1.1 ↗
41. Broadband seismology and noise under the ocean10.1029/97RG02287 ↗
42. Authigenic minerals in the bottom sediments from seeps of the Laptev Sea
43. Solonenko, V.P. (1975). Seismic Microzoning in Permafrost Conditions, Nauka. (In Russian).
44. A theory for the generation of microseisms10.1098/rsta.1950.0012 ↗
45. Analysis of the primary and secondary microseisms in the wavefield of the ambient noise recorded in northern Poland10.1007/s11600-018-0194-2 ↗
46. Bard, P.-Y. (1999, January 1–3). Microtremor measurements: A tool for site effect estimation?. Proceedings of the Second International Symposium on the Effects of Surface Geology on Seismic Motion, Yokohama, Japan.
47. The influence of wind on measurements of seismic noise10.1111/j.1365-246X.2004.02561.x ↗
48. Evaluation of the influence of experimental conditions on H/V results from ambient noise recordings10.1007/s10518-007-9040-7 ↗
49. Microtremor recordings in Northern Mississippi10.1016/j.enggeo.2014.07.001 ↗
50. Rabinovich, A.B. (2009). Seiches and harbour oscillations. Handbook of Coastal and Ocean Engineering, World Scientific Publ.10.1142/9789812819307_0009 ↗
51. The sources of deep ocean infragravity waves observed in the North Atlantic Ocean10.1002/2014JC010657 ↗
52. Long-period acoustic and seismic measurements and ocean floor currents10.1109/48.9239 ↗
53. Fidelity of ocean bottom seismic observations10.1007/BF01204343 ↗
54. Identifying and Removing Tilt Noise from Low-Frequency (<0.1 Hz) Seafloor Vertical Seismic Data10.1785/0119990121 ↗
55. Exploring source regions of single- and double-frequency microseisms recorded in eastern North American margin (ENAM) by cross-correlation
56. Guo, Z., Huang, Y., Aydin, A., and Xue, M. (2020). Identifying the Frequency Dependent Interactions between OceanWaves and the Continental Margin on Seismic Noise Recordings. J. Mar. Sci. Eng., 8.10.3390/jmse8020134 ↗
57. Analysis of three-component ambient vibration array measurements10.1111/j.1365-246X.2007.03625.x ↗
58. Characteristics of long-period microtremors and their applicability in exploration of deep layers10.1785/BSSA0840061831 ↗
59. Fäh, D., Wathelet, M., Kristekova, M., Havenith, H., Endrun, B., Stamm, G., Poggi, V., Burjanek, J., and Cornou, C. (2010). Using Ellipticity Information for Site, European Union. NEtwork of Research Infrastructures for European Seismology Report.
60. Microtremor measurements used to map thickness of soft sediments10.1785/BSSA0890010250 ↗
61. New relationships between vs. thickness of sediments, and resonance frequency calculated by the H/V ratio of seismic noise for the cologne area (Germany)10.1785/0120010248 ↗
62. New relationship between fundamental station frequency and thickness of soft sediments from seismic ambient noise10.1007/s10950-018-9753-x ↗
63. Bedrock Depth Evaluation using Microtremor Measurement: Empirical guidelines at Weathered Granite Formation in Singapore10.1016/j.jappgeo.2019.103866 ↗
64. Polarization characteristics of Rayleigh waves to improve seismic site effects analysis by HVSR method10.1016/j.enggeo.2021.106274 ↗