What question did this study set out to answer?

The study aims to develop a computationally efficient framework for assessing tsunami hazards generated by submarine landslides.

Landslide-Tsurrogate v1.0: a computationally efficient framework for probabilistic tsunami hazard assessment applied to Mayotte (France)

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Open-source tool estimates tsunami hazards from landslides, suggesting faster assessments for coastal areas.

The study aims to develop a computationally efficient framework for assessing tsunami hazards generated by submarine landslides.
Developed an open-source tool using Python and MATLAB.
Utilized surrogate models based on generalized polynomial chaos expansion.
Applied the tool to a test case involving five zones in Mayotte.
Achieved convergence with only 135 deterministic simulations per zone.
Produced probabilistic results in under 2 seconds on basic laptops.
Enabled sensitivity analyses to identify influential parameters.

Denamiel et al. (2026) studied this question.

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