Articles | Volume 26, issue 8
https://doi.org/10.5194/nhess-26-3597-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-3597-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Basin-scale geometric focusing: a probabilistic-geometric framework for global tsunami exposure assessment and the 2025 Kamchatka Peninsula tsunami
Ali Abdolali
CORRESPONDING AUTHOR
USACE Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, USA
Michael-Angelo Y.-H. Lam
USACE Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, USA
Usama Kadri
School of Mathematics, Cardiff University, CF24 4AG, Cardiff, UK
Matt Malej
USACE Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, USA
Maxim Filimonov
School of Computer Science and Informatics, Cardiff University, CF24 4AG, Cardiff, UK
Fengyan Shi
Center for Applied Coastal Research, Department of Civil, Construction and Environmental Engineering, University of Delaware, Newark, DE 19716, USA
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Short summary
This study introduces a hybrid tsunami risk method that fuses probabilistic hazard assessment with ray tracing to enable rapid global mapping. Using historical tsunamigenic earthquake statistics, it identifies how bathymetry focuses wave energy into convergence hotspots. Validated with the 2025 M8.8 Kamchatka and 2011 M9.0 Tohoku events, high-fidelity Boussinesq outputs showed strong observational skill, offering a robust basis for quick hazard evaluation and coastal resilience planning.
This study introduces a hybrid tsunami risk method that fuses probabilistic hazard assessment...
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