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This recipe describes a procedure for empirical tsunami fragility assessment, for hierarchical damage levels, using generalized linear regression based on Bayesian updating and model class selection (BMCS). Although developed and described for tsunamis, the recipe is applicable to other types of hazards as long as they can be described by a given intensity measure. This procedure is primarily used for fragility assessment; nevertheless, it can be used also for vulnerability assessment for hierarchical fatality and loss levels.

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R16—Bayesian Empirical Fragility Assessment for Hierarchical Damage Levels: 2018 Sulawesi-Palu Tsunami

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Fatemeh Jalayer,
  • Hossein Ebrahimian

摘要

This recipe describes a procedure for empirical tsunami fragility assessment, for hierarchical damage levels, using generalized linear regression based on Bayesian updating and model class selection (BMCS). Although developed and described for tsunamis, the recipe is applicable to other types of hazards as long as they can be described by a given intensity measure. This procedure is primarily used for fragility assessment; nevertheless, it can be used also for vulnerability assessment for hierarchical fatality and loss levels.