TY - JOUR

T1 - On the assessment of the efficiency of deep-sea monitoring sensors for a tsunami warning system

AU - Voronina, Tatyana A.

AU - Voronin, Vladislav V.

N1 - The research proposed supported by the State Budget Program with The Institute of Computational Mathematics and Mathematical Geophysics Siberian Branch of Russian Academy of Science (ICMMG SB RAS) (0315-2024-0005).

PY - 2025/6/2

Y1 - 2025/6/2

N2 - This paper presents a methodology for selecting an effective set of sensors in an existing tsunami monitoring system, providing the data to reconstruct the initial tsunami waveform and to determine the amplitudes of incoming waves at given locations. Remote tsunami waveforms are inverted using the truncated singular value decomposition (SVD) method. The relationship between the configuration of the monitoring system and the main inversion parameters is illustrated with examples under modelled formulations. It is found that the inversion results can be significantly improved by using data from deep-sea sensors located along the directions of most intense tsunami energy propagation. The ‘informative value’ of the data can be estimated from the intensity of the energy transfer. To select optimal sensor locations, we propose a methodology based on the estimation of the specific energy distribution of tsunami waves. It is shown that in the framework of our approach, using the most informative data, it is possible not only to reconstruct the tsunami source, but also to determine the amplitudes of the incoming waves at locations where no observations were available (forecast points), provided they were included in the preliminary calculations. The proposed methodology is illustrated with the example of a real tsunami in the Solomon Islands on 6 February 2013 and presented in the form of a diagram.

AB - This paper presents a methodology for selecting an effective set of sensors in an existing tsunami monitoring system, providing the data to reconstruct the initial tsunami waveform and to determine the amplitudes of incoming waves at given locations. Remote tsunami waveforms are inverted using the truncated singular value decomposition (SVD) method. The relationship between the configuration of the monitoring system and the main inversion parameters is illustrated with examples under modelled formulations. It is found that the inversion results can be significantly improved by using data from deep-sea sensors located along the directions of most intense tsunami energy propagation. The ‘informative value’ of the data can be estimated from the intensity of the energy transfer. To select optimal sensor locations, we propose a methodology based on the estimation of the specific energy distribution of tsunami waves. It is shown that in the framework of our approach, using the most informative data, it is possible not only to reconstruct the tsunami source, but also to determine the amplitudes of the incoming waves at locations where no observations were available (forecast points), provided they were included in the preliminary calculations. The proposed methodology is illustrated with the example of a real tsunami in the Solomon Islands on 6 February 2013 and presented in the form of a diagram.

KW - Ill-posed problem

KW - Numerical modeling

KW - Specific energy

KW - Tsunamis

KW - Waveform inversion

UR - https://www.mendeley.com/catalogue/e69c0502-26cd-3aa1-b9c0-d87e9f3bac9f/

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-105007082053&origin=inward&txGid=b01053fc380ea00304a11a385540472f

U2 - 10.1007/s11001-025-09577-4

DO - 10.1007/s11001-025-09577-4

M3 - Article

VL - 46

JO - Marine Geophysical Research

JF - Marine Geophysical Research

SN - 1573-0581

IS - 2

M1 - 15

ER -