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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]
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Database: Engineering Source
Description
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]
ISSN:21664250
DOI:10.1080/21664250.2025.2513744