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(Online) Estimation of Ice Thickness using Standing Waves. / Ngomayezwe, L.; Fedin, K.; Kolesnikov, Y.

5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023. European Association of Geoscientists and Engineers, EAGE, 2023. p. 1-6 (5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Ngomayezwe, L, Fedin, K & Kolesnikov, Y 2023, (Online) Estimation of Ice Thickness using Standing Waves. in 5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023. 5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023, European Association of Geoscientists and Engineers, EAGE, pp. 1-6. https://doi.org/10.3997/2214-4609.202378076

APA

Ngomayezwe, L., Fedin, K., & Kolesnikov, Y. (2023). (Online) Estimation of Ice Thickness using Standing Waves. In 5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023 (pp. 1-6). (5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023). European Association of Geoscientists and Engineers, EAGE. https://doi.org/10.3997/2214-4609.202378076

Vancouver

Ngomayezwe L, Fedin K, Kolesnikov Y. (Online) Estimation of Ice Thickness using Standing Waves. In 5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023. European Association of Geoscientists and Engineers, EAGE. 2023. p. 1-6. (5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023). doi: 10.3997/2214-4609.202378076

Author

Ngomayezwe, L. ; Fedin, K. ; Kolesnikov, Y. / (Online) Estimation of Ice Thickness using Standing Waves. 5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023. European Association of Geoscientists and Engineers, EAGE, 2023. pp. 1-6 (5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023).

BibTeX

@inproceedings{3381b86f6156485384ff1068dede9db8,
title = "(Online) Estimation of Ice Thickness using Standing Waves",
abstract = "The study presents the possibility of determining the thickness of the ice cover using acoustic noise. It is shown that the accumulation of amplitude spectra of noise recordings made on the surface of the ice layer makes it possible to determine the nature of the frequency distribution changes (the contact of ice with the ground) of several lower modes of compression standing waves formed in the layer. The frequencies changes of the standing waves can be used to estimate both the type of underlying medium (water or frozen ground) and the thickness of the ice layer at a known longitudinal wave velocity, and to evaluate the ratio of acoustic stiffnesses of the cover. In general, according to the obtained results, the passive seismic standing waves method has proven to be an effective tool for fairly accurate determination of the ice thickness.",
author = "L. Ngomayezwe and K. Fedin and Y. Kolesnikov",
note = "The authors gratefully acknowledge the financial support by the Russian Science Foundation, Grant No 22-29-00289. Публикация для корректировки.",
year = "2023",
doi = "10.3997/2214-4609.202378076",
language = "English",
isbn = "9789462824577",
series = "5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023",
publisher = "European Association of Geoscientists and Engineers, EAGE",
pages = "1--6",
booktitle = "5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023",

}

RIS

TY - GEN

T1 - (Online) Estimation of Ice Thickness using Standing Waves

AU - Ngomayezwe, L.

AU - Fedin, K.

AU - Kolesnikov, Y.

N1 - The authors gratefully acknowledge the financial support by the Russian Science Foundation, Grant No 22-29-00289. Публикация для корректировки.

PY - 2023

Y1 - 2023

N2 - The study presents the possibility of determining the thickness of the ice cover using acoustic noise. It is shown that the accumulation of amplitude spectra of noise recordings made on the surface of the ice layer makes it possible to determine the nature of the frequency distribution changes (the contact of ice with the ground) of several lower modes of compression standing waves formed in the layer. The frequencies changes of the standing waves can be used to estimate both the type of underlying medium (water or frozen ground) and the thickness of the ice layer at a known longitudinal wave velocity, and to evaluate the ratio of acoustic stiffnesses of the cover. In general, according to the obtained results, the passive seismic standing waves method has proven to be an effective tool for fairly accurate determination of the ice thickness.

AB - The study presents the possibility of determining the thickness of the ice cover using acoustic noise. It is shown that the accumulation of amplitude spectra of noise recordings made on the surface of the ice layer makes it possible to determine the nature of the frequency distribution changes (the contact of ice with the ground) of several lower modes of compression standing waves formed in the layer. The frequencies changes of the standing waves can be used to estimate both the type of underlying medium (water or frozen ground) and the thickness of the ice layer at a known longitudinal wave velocity, and to evaluate the ratio of acoustic stiffnesses of the cover. In general, according to the obtained results, the passive seismic standing waves method has proven to be an effective tool for fairly accurate determination of the ice thickness.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85171344144&origin=inward&txGid=786d5200e8c704305a3104ed2b017f47

UR - https://www.mendeley.com/catalogue/29e4d79b-5be6-3605-b244-7aba33093010/

U2 - 10.3997/2214-4609.202378076

DO - 10.3997/2214-4609.202378076

M3 - Conference contribution

SN - 9789462824577

T3 - 5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023

SP - 1

EP - 6

BT - 5th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2023

PB - European Association of Geoscientists and Engineers, EAGE

ER -

ID: 59174063