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Research Article | Open Access

Pre-eruption landslide as a possible cause of early tsunami waves from Tongo volcano on January 15, 2022

Raissa Mazova1( )Kirill Polyakov1Dmitry Smirnov1Ivan Smirnov1Andrey Kurkin1,2Jorge Van Den Bosch F3
Nizhny Novgorod State Technical University n.a. R.E. Alekseev, Nizhny Novgorod, Russia
V.I. Il'ichev Pacific Oceanological Institute Far Eastern Branch Russian Academy of Sciences, Vladivostok, Russia
Engineering Center Mitigation Natural Catastrophes Faculty of Engineering, University of Antofagasta, Antofagasta, Chile
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Abstract

In this paper, a mechanism is proposed for the occurrence of "early" tsunami waves on various coasts of the Pacific Ocean, which arrived after the eruption of the Tonga volcano 4–5 hours earlier than the actual time of the tsunami wave arrival at a given sea level. The paper shows that Kthere is another alternative hypothesis about the generation of an early wave train by a pre-eruption landslide source, which is localized on the slope of the Tonga volcano, in addition to the hypothesis available in the literature explaining this phenomenon as the generation of tsunami waves by Lamb waves or caldera collapse. At the same time, during the period of preparing for the eruption, the trigger for the pre-eruption landslide process could have been both minor seismic foreshocks, which were numerous before the eruption, and the process of preparing for the volcanic eruption itself. Wave characteristics of the tsunami generated by the pre-eruption landslide process on the volcanic slope are obtained. A possible implementation of the pre-eruption landslide mechanism for generating "early" tsunami waves is presented by considering various scenarios of pre-eruption landslide source formation and taking the tsunami characteristics at specific sites into account.

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AIMS Geosciences
Pages 274-297

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Cite this article:
Mazova R, Polyakov K, Smirnov D, et al. Pre-eruption landslide as a possible cause of early tsunami waves from Tongo volcano on January 15, 2022. AIMS Geosciences, 2025, 11(2): 274-297. https://doi.org/10.3934/geosci.2025012

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Received: 03 November 2024
Revised: 21 February 2025
Accepted: 14 March 2025
Published: 15 June 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)