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Estimation of tsunami direction and horizontal velocity field from tsunami magnetic field.

Philos Trans A Math Phys Eng Sci

December 2024

Center for Data Assimilation Research and Applications, Joint Support-Center for Data Science Research, Tachikawa, Japan.

During tsunamis, the interaction between moving seawater and the Earth's magnetic field generates a magnetic field detectable by electromagnetic sensors located on land or on the seafloor. In this study, we introduce new methods for estimating tsunami propagation direction and horizontal velocity fields using tsunami magnetic field data. We derive a transfer function that establishes a relationship between the tsunami magnetic field and the velocity field, emphasizing the alignment between the horizontal magnetic field and the tsunami's propagation direction.

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Within the study of public perception and intended declarations in case of alert, an original dataset has been completed by using an online questionnaire, with a short URL link included in mobile alert messages, tested and displayed on 19 January 2024 along the French Mediterranean coast (engaging 189 municipalities and 9 departments). The aim is to further know and understand what people do and think upon receiving Cell Broadcast alerts, that deliver an attention-grabbing message directly on the screen of mobile phones of people located in the at-risk zones. A first notification was sent in the Tsunami Evacuation Zones from 09:30 to 10:30, and a second from 10:35 to 10:50 to close the test.

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Article Synopsis
  • Prompt ElastoGravity Signals are early indicators of earthquakes, detected before seismic waves arrive, but their usefulness has been limited by their low amplitude compared to background noise.
  • A new deep-learning model has been developed that effectively reduces this noise and can accurately assess the magnitude and focal mechanism of large earthquakes (≥ 7.8) just 2 minutes after they occur.
  • This advancement shows great promise for integrating elastogravity signals into early warning systems, particularly for tsunami alerts in areas with extensive seismic monitoring.
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Article Synopsis
  • A novel real-time tsunami monitoring system is developed using a submersible mooring setup, which includes a data acquisition and wave detection algorithm.
  • The design integrates underwater inductive coupling for data transmission and a redundant BeiDou communication device for enhanced reliability.
  • Laboratory and sea tests demonstrate the system's high reliability, stable performance, and significant advantages over traditional buoys, making it promising for real-time tsunami monitoring and early warning.
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Owing to global climate change or the ever-more frequent human activities in the offshore areas, it is highly probable that an imbalance in the offshore ecosystem has been induced. However, the importance of maintaining and protecting marine ecosystems' balance cannot be overstated. In recent years, various marine disasters have occurred frequently, such as harmful algal blooms (green tides and red tides), storm surge disasters, wave disasters, sea ice disasters, and tsunami disasters.

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