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This recipe describes a method for building simulation-based PTHA at local scale, by combining an adequate discretization of source scenarios with high-resolution inundation modelling. This leads to tens to hundreds of thousands of moderately intensive numerical simulations being required. In recent years, more efficient GPU-based High-Performance Computing (HPC) facilities, together with efficient GPU-optimized models for simulating tsunami inundation, have made local hazard assessment a feasible but still highly computationally demanding task. To reduce the computational cost of the analysis, different strategies can be implemented.

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R2–Local Probabilistic Tsunami Hazard Analysis

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Manuela Volpe,
  • Steven J. Gibbons,
  • Enrico Baglione

摘要

This recipe describes a method for building simulation-based PTHA at local scale, by combining an adequate discretization of source scenarios with high-resolution inundation modelling. This leads to tens to hundreds of thousands of moderately intensive numerical simulations being required. In recent years, more efficient GPU-based High-Performance Computing (HPC) facilities, together with efficient GPU-optimized models for simulating tsunami inundation, have made local hazard assessment a feasible but still highly computationally demanding task. To reduce the computational cost of the analysis, different strategies can be implemented.