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Identification of coastal sand deposits from tsunamis and storm waves based on numerical computations

Identification of coastal sand deposits from tsunamis and storm waves based on numerical computations
Identification of coastal sand deposits from tsunamis and storm waves based on numerical computations

Tsunami and storm deposits can be utilized for estimating inundation zones and recurrence intervals of extreme waves in modern, historic, and prehistoric times. However, the distribution of these deposits is extremely complex and affected by various factors such as the size of the waves, topography, bathymetry, and the supply of sediment and its properties. Here, we use numerical computations to identify the key factors affecting the inundation extent of tsunamis and storm waves, and which subsequently govern the distribution of the corresponding coastal sand deposits. The results demonstrate that the overall topography slope has the most significant impact on the inundation extent of tsunamis and storm waves and subsequently the inland distribution distance of the transported deposits. The existence of onshore sediment sources is crucial for estimating the maximum extent of storm deposits because only a limited amount of sediment is carried inland by the storm waves. In contrast, the presence of onshore sediment sources is less critical for the delineation of the maximum distribution envelope of tsunami deposits compared to other parameters. The parameters that mainly control the sediment deposit volume over land under tsunami and storm wave conditions are the grain size and wave height, respectively. Our computed results are summarized using the Dean number, Shields number, and Iribarren number showing an inter-connectivity between topography, input wave characteristic, and onshore distributions of both types of deposits. Despite some simplifications, this approach can efficiently lead to an identification and reconstruction of past catastrophic wave events.

identification of tsunami and storm deposits, numerical simulation, sediment transport
2169-9003
Watanabe, Masashi
880b3e5b-42a4-49a2-b196-0d06e54e45db
Goto, Kazuhisa
83ebddaf-a094-4138-b5d0-47d561e975e3
Roeber, Volker
919cc675-eb72-4f7a-b944-42f36a1c0499
Imamura, Fumihiko
13656bc7-ebb6-42c7-a49e-689e2a837a8f
Watanabe, Masashi
880b3e5b-42a4-49a2-b196-0d06e54e45db
Goto, Kazuhisa
83ebddaf-a094-4138-b5d0-47d561e975e3
Roeber, Volker
919cc675-eb72-4f7a-b944-42f36a1c0499
Imamura, Fumihiko
13656bc7-ebb6-42c7-a49e-689e2a837a8f

Watanabe, Masashi, Goto, Kazuhisa, Roeber, Volker and Imamura, Fumihiko (2021) Identification of coastal sand deposits from tsunamis and storm waves based on numerical computations. Journal of Geophysical Research: Earth Surface, 126 (7), [e2021JF006092]. (doi:10.1029/2021JF006092).

Record type: Article

Abstract

Tsunami and storm deposits can be utilized for estimating inundation zones and recurrence intervals of extreme waves in modern, historic, and prehistoric times. However, the distribution of these deposits is extremely complex and affected by various factors such as the size of the waves, topography, bathymetry, and the supply of sediment and its properties. Here, we use numerical computations to identify the key factors affecting the inundation extent of tsunamis and storm waves, and which subsequently govern the distribution of the corresponding coastal sand deposits. The results demonstrate that the overall topography slope has the most significant impact on the inundation extent of tsunamis and storm waves and subsequently the inland distribution distance of the transported deposits. The existence of onshore sediment sources is crucial for estimating the maximum extent of storm deposits because only a limited amount of sediment is carried inland by the storm waves. In contrast, the presence of onshore sediment sources is less critical for the delineation of the maximum distribution envelope of tsunami deposits compared to other parameters. The parameters that mainly control the sediment deposit volume over land under tsunami and storm wave conditions are the grain size and wave height, respectively. Our computed results are summarized using the Dean number, Shields number, and Iribarren number showing an inter-connectivity between topography, input wave characteristic, and onshore distributions of both types of deposits. Despite some simplifications, this approach can efficiently lead to an identification and reconstruction of past catastrophic wave events.

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More information

Accepted/In Press date: 12 June 2021
Published date: 9 July 2021
Additional Information: Publisher Copyright: © 2021. American Geophysical Union. All Rights Reserved.
Keywords: identification of tsunami and storm deposits, numerical simulation, sediment transport

Identifiers

Local EPrints ID: 493950
URI: http://eprints.soton.ac.uk/id/eprint/493950
ISSN: 2169-9003
PURE UUID: ac983994-96bb-4ab3-91c4-3e1247d219f5
ORCID for Masashi Watanabe: ORCID iD orcid.org/0000-0003-3670-7385

Catalogue record

Date deposited: 17 Sep 2024 17:04
Last modified: 19 Sep 2024 02:09

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Contributors

Author: Masashi Watanabe ORCID iD
Author: Kazuhisa Goto
Author: Volker Roeber
Author: Fumihiko Imamura

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