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A New index for assessing aquaculture facility damage caused by tsunamis using a drifting model: a case study of the 2022 Tonga eruption tsunami.

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Title: A New index for assessing aquaculture facility damage caused by tsunamis using a drifting model: a case study of the 2022 Tonga eruption tsunami.
Authors: Shigihara, Yoshinori1 (AUTHOR) shigi@nda.ac.jp, Tanaka, Kento2 (AUTHOR), Suppasri, Anawat3 (AUTHOR), Takagawa, Tomohiro4 (AUTHOR), Yamamoto, Ako1 (AUTHOR), Sasaki, Daisuke3 (AUTHOR), Imamura, Fumihiko3 (AUTHOR)
Source: Coastal Engineering Journal. Sep2025, Vol. 67 Issue 3, p471-494. 24p.
Subjects: Tsunamis, Hunga Tonga-Hunga Ha'apai Eruption & Tsunami, 2022, Risk assessment, Tsunami forecasting, Breakwaters, Loss control, Aquaculture
Geographic Terms: Tonga
Abstract: Tsunamis can cause extensive damage to aquaculture facilities in coastal areas, significantly affecting the local economy and fishing industry. This study used the 2022 Tonga eruption tsunami as a case study to develop a method for predicting such damage. The method is based on field survey data that reflect the actual conditions of damage. Numerical simulations were conducted to reproduce the tsunami flows and drifting behavior of aquaculture facilities in Yamada Bay and Ofunato Bay on the Sanriku Coast. To improve existing damage criteria, we propose a new index, potential drift displacement (PDD), which quantifies the drifting behavior of aquaculture facilities and helps identify high-risk fishing grounds. As a result of the analysis, a positive correlation was found between PDD and tsunami flow velocity. Moreover, the impact of the presence or absence of breakwaters as tsunami protection, as well as the topography of the bay, on the damage was clarified. The simulation of breakwater removal further confirmed the tsunami energy-shielding effect of breakwaters and suggested the possibility of reducing damage by optimizing the location of aquaculture facilities. The findings of this study support more accurate tsunami damage risk assessments for aquaculture facilities and can inform strategies for mitigating future damage. [ABSTRACT FROM AUTHOR]
Copyright of Coastal Engineering Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: A New index for assessing aquaculture facility damage caused by tsunamis using a drifting model: a case study of the 2022 Tonga eruption tsunami.
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  Data: <searchLink fieldCode="AR" term="%22Shigihara%2C+Yoshinori%22">Shigihara, Yoshinori</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> shigi@nda.ac.jp</i><br /><searchLink fieldCode="AR" term="%22Tanaka%2C+Kento%22">Tanaka, Kento</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Suppasri%2C+Anawat%22">Suppasri, Anawat</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Takagawa%2C+Tomohiro%22">Takagawa, Tomohiro</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yamamoto%2C+Ako%22">Yamamoto, Ako</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sasaki%2C+Daisuke%22">Sasaki, Daisuke</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Imamura%2C+Fumihiko%22">Imamura, Fumihiko</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Coastal+Engineering+Journal%22">Coastal Engineering Journal</searchLink>. Sep2025, Vol. 67 Issue 3, p471-494. 24p.
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  Data: <searchLink fieldCode="DE" term="%22Tsunamis%22">Tsunamis</searchLink><br /><searchLink fieldCode="DE" term="%22Hunga+Tonga-Hunga+Ha'apai+Eruption+%26+Tsunami%2C+2022%22">Hunga Tonga-Hunga Ha'apai Eruption & Tsunami, 2022</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Tsunami+forecasting%22">Tsunami forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Breakwaters%22">Breakwaters</searchLink><br /><searchLink fieldCode="DE" term="%22Loss+control%22">Loss control</searchLink><br /><searchLink fieldCode="DE" term="%22Aquaculture%22">Aquaculture</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Tonga%22">Tonga</searchLink>
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  Label: Abstract
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  Data: Tsunamis can cause extensive damage to aquaculture facilities in coastal areas, significantly affecting the local economy and fishing industry. This study used the 2022 Tonga eruption tsunami as a case study to develop a method for predicting such damage. The method is based on field survey data that reflect the actual conditions of damage. Numerical simulations were conducted to reproduce the tsunami flows and drifting behavior of aquaculture facilities in Yamada Bay and Ofunato Bay on the Sanriku Coast. To improve existing damage criteria, we propose a new index, potential drift displacement (PDD), which quantifies the drifting behavior of aquaculture facilities and helps identify high-risk fishing grounds. As a result of the analysis, a positive correlation was found between PDD and tsunami flow velocity. Moreover, the impact of the presence or absence of breakwaters as tsunami protection, as well as the topography of the bay, on the damage was clarified. The simulation of breakwater removal further confirmed the tsunami energy-shielding effect of breakwaters and suggested the possibility of reducing damage by optimizing the location of aquaculture facilities. The findings of this study support more accurate tsunami damage risk assessments for aquaculture facilities and can inform strategies for mitigating future damage. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Coastal Engineering Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/21664250.2025.2513744
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 24
        StartPage: 471
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      – SubjectFull: Tsunamis
        Type: general
      – SubjectFull: Hunga Tonga-Hunga Ha'apai Eruption & Tsunami, 2022
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Tsunami forecasting
        Type: general
      – SubjectFull: Breakwaters
        Type: general
      – SubjectFull: Loss control
        Type: general
      – SubjectFull: Aquaculture
        Type: general
      – SubjectFull: Tonga
        Type: general
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      – TitleFull: A New index for assessing aquaculture facility damage caused by tsunamis using a drifting model: a case study of the 2022 Tonga eruption tsunami.
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              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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