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

CORDIS · observation · Publication date unknown

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

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recordType

award

status

SIGNED

region

EU

value

260347.92

unit

EUR