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PIM-TSUNAMI: A global TSUNAMI hazard amplification model considering site-specific factors and applying Physics-Informed Machine learning

Project description

Advanced model accounts for overlooked factors that amplify tsunami potential

Tsunamis triggered by megathrust earthquakes in subduction zones have caused some of the deadliest disasters in history, such as the 2004 Indian Ocean tsunami that claimed over 220 000 lives. Recent research has shown that site-specific factors such as slab curvature, bathymetry steepness and sediment thickness, can amplify tsunami hazards by two- to threefold. Despite advancements in tsunami hazard analysis, these critical factors remain underexplored. With the support of the Marie Skłodowska-Curie Actions programme, the PIM-TSUNAMI project aims to develop a physics-informed machine learning model that incorporates site-specific factors on tsunami heights. The proposed model should help support researchers and disaster risk reduction authorities worldwide in enhancing tsunami safety.

Objective

Project PIM-TSUNAMI aims to develop a model that incorporates the effects of site-specific factors on tsunami heights, using Physics-Informed Machine Learning simulations and offering a user-friendly interface. Megathrust earthquakes in subduction zones, along with their cascading tsunamis, have led to some of the most devastating hazards on Earth, such as the 2004 Indian Ocean tsunami, which claimed more than 220,000 lives, and the 2011 Tohoku tsunami in Japan, resulting in over 20,000 fatalities. Recent understanding has revealed that the tsunami potential of megathrust earthquakes depends on site-specific factors such as slab curvature, bathymetry steepness, and sediment thickness. Despite significant advancements in tsunami hazard analysis over the past 30 years, the critical issue of site-specific factors, which can amplify tsunami hazards two- to threefold, remains a major gap in research and practice. By addressing this critical gap, PIM-TSUNAMI offers significant improvements to global tsunami hazard assessments and contributes to the safety of millions of people worldwide who live at risk of tsunamis.

The objectives of this project are: i) Understand the impacts of site-specific factors on tsunami-genesis, ii) Develop a user-friendly model for tsunami amplification for global subduction zones, and iii) Disseminate the model to relevant stakeholders. The user-friendly interface of the PIM-TSUNAMI model combined with our diverse dissemination strategy and the host supervisor’s active involvement in the tsunami community and his role as Secretary General of the IUGG Joint Tsunami Commission will guarantee its reach to relevant stakeholders and Disaster Risk Reduction (DRR) authorities worldwide and implementation. The automated workflow of PIM-TSUNAMI makes it easily accessible and applicable to researchers and coastal DRR authorities worldwide.

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

UNIVERSITY OF BATH
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 260 347,92
Address
CLAVERTON DOWN
BA2 7AY BATH
United Kingdom

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Region
South West (England) Gloucestershire, Wiltshire and Bristol/Bath area Bath and North East Somerset, North Somerset and South Gloucestershire
Activity type
Higher or Secondary Education Establishments
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Total cost

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