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Experience in Determining S-Wave Velocities Beneath the Caucasus from Surface Wave Dispersion Curves Using High-Performance Computing. / Koroleva, T.; Zarochentsev, A.

Problems of Geocosmos—2024 (ICS 2024). Springer Nature, 2026. p. 165-177 (Springer Proceedings in Earth and Environmental Sciences; Vol. Part F1503).

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

Harvard

Koroleva, T & Zarochentsev, A 2026, Experience in Determining S-Wave Velocities Beneath the Caucasus from Surface Wave Dispersion Curves Using High-Performance Computing. in Problems of Geocosmos—2024 (ICS 2024). Springer Proceedings in Earth and Environmental Sciences, vol. Part F1503, Springer Nature, pp. 165-177, Problems of Geocosmos—2024 , Санкт-Петербург, Russian Federation, 22/04/24. https://doi.org/10.1007/978-3-031-92928-1_11

APA

Koroleva, T., & Zarochentsev, A. (2026). Experience in Determining S-Wave Velocities Beneath the Caucasus from Surface Wave Dispersion Curves Using High-Performance Computing. In Problems of Geocosmos—2024 (ICS 2024) (pp. 165-177). (Springer Proceedings in Earth and Environmental Sciences; Vol. Part F1503). Springer Nature. https://doi.org/10.1007/978-3-031-92928-1_11

Vancouver

Koroleva T, Zarochentsev A. Experience in Determining S-Wave Velocities Beneath the Caucasus from Surface Wave Dispersion Curves Using High-Performance Computing. In Problems of Geocosmos—2024 (ICS 2024). Springer Nature. 2026. p. 165-177. (Springer Proceedings in Earth and Environmental Sciences). https://doi.org/10.1007/978-3-031-92928-1_11

Author

Koroleva, T. ; Zarochentsev, A. / Experience in Determining S-Wave Velocities Beneath the Caucasus from Surface Wave Dispersion Curves Using High-Performance Computing. Problems of Geocosmos—2024 (ICS 2024). Springer Nature, 2026. pp. 165-177 (Springer Proceedings in Earth and Environmental Sciences).

BibTeX

@inproceedings{ad840a774a3e45dca003af6833e4a6ff,
title = "Experience in Determining S-Wave Velocities Beneath the Caucasus from Surface Wave Dispersion Curves Using High-Performance Computing",
abstract = "The article describes the experience of setting and solving the inverse problem of determining the velocity of shear waves under the Caucasus from surface wave dispersion curves using a high-performance distributed grid cluster. It is about options for adapting programs written for personal computers for modern high-performance clusters. Various models for assessing the velocity structure of the Caucasus and their suitability for the programs used are considered. It is concluded that the three-layer model of the crust does not fit the data well enough, which requires changes to the source program code. Also shows the fundamental possibility of using distributed computing systems such as GRID to solve inverse problems of Earth Physics. {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.",
keywords = "Ambient noise tomography, GRID, HPC, Inverse problem, S-wave velocities, Surface wave tomography",
author = "T. Koroleva and A. Zarochentsev",
note = "Export Date: 16 March 2026; Cited By: 0; Correspondence Address: T. Koroleva; Federal Research Center Geophysical Survey of the Russian Academy of Sciences, Obninsk, Kaluga Region, Russian Federation; email: tanchik18@yandex.ru; null ; Conference date: 22-04-2024 Through 26-04-2024",
year = "2026",
doi = "10.1007/978-3-031-92928-1_11",
language = "Английский",
series = "Springer Proceedings in Earth and Environmental Sciences",
publisher = "Springer Nature",
pages = "165--177",
booktitle = "Problems of Geocosmos—2024 (ICS 2024)",
address = "Германия",
url = "https://events.spbu.ru/events/geocosmos-2024, https://events.spbu.ru/events/geocosmos-2024?ysclid=lxlrfdjmhj251872220, https://equinocs.springernature.com/service/ics",

}

RIS

TY - GEN

T1 - Experience in Determining S-Wave Velocities Beneath the Caucasus from Surface Wave Dispersion Curves Using High-Performance Computing

AU - Koroleva, T.

AU - Zarochentsev, A.

N1 - Conference code: 15

PY - 2026

Y1 - 2026

N2 - The article describes the experience of setting and solving the inverse problem of determining the velocity of shear waves under the Caucasus from surface wave dispersion curves using a high-performance distributed grid cluster. It is about options for adapting programs written for personal computers for modern high-performance clusters. Various models for assessing the velocity structure of the Caucasus and their suitability for the programs used are considered. It is concluded that the three-layer model of the crust does not fit the data well enough, which requires changes to the source program code. Also shows the fundamental possibility of using distributed computing systems such as GRID to solve inverse problems of Earth Physics. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

AB - The article describes the experience of setting and solving the inverse problem of determining the velocity of shear waves under the Caucasus from surface wave dispersion curves using a high-performance distributed grid cluster. It is about options for adapting programs written for personal computers for modern high-performance clusters. Various models for assessing the velocity structure of the Caucasus and their suitability for the programs used are considered. It is concluded that the three-layer model of the crust does not fit the data well enough, which requires changes to the source program code. Also shows the fundamental possibility of using distributed computing systems such as GRID to solve inverse problems of Earth Physics. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

KW - Ambient noise tomography

KW - GRID

KW - HPC

KW - Inverse problem

KW - S-wave velocities

KW - Surface wave tomography

UR - https://www.mendeley.com/catalogue/0f174232-3c5d-3536-9d63-1af0163bc477/

U2 - 10.1007/978-3-031-92928-1_11

DO - 10.1007/978-3-031-92928-1_11

M3 - статья в сборнике материалов конференции

T3 - Springer Proceedings in Earth and Environmental Sciences

SP - 165

EP - 177

BT - Problems of Geocosmos—2024 (ICS 2024)

PB - Springer Nature

Y2 - 22 April 2024 through 26 April 2024

ER -

ID: 150628273