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  Empirical tsunami fragility modelling for hierarchical damage levels

Jalayer, F., Ebrahimian, H., Trevlopoulos, K., Bradley, B. (2023 online): Empirical tsunami fragility modelling for hierarchical damage levels. - Natural Hazards and Earth System Sciences (NHESS), 23, 909-931.
https://doi.org/10.5194/nhess-23-909-2023

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025801 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025801_1
Genre: Journal Article

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 Creators:
Jalayer, Fatemeh1, 2, Author
Ebrahimian, Hossein1, 2, Author
Trevlopoulos, Konstantinos1, 2, Author
Bradley, Brendon1, 2, Author
Affiliations:
1External Organizations, ou_persistent22              
2Geo-INQUIRE, External Organizations, ou_5025076              

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 Abstract: The present work proposes a simulation-based Bayesian method for parameter estimation and fragility model selection for mutually exclusive and collectively exhaustive (MECE) damage states. This method uses an adaptive Markov chain Monte Carlo simulation (MCMC) based on likelihood estimation using point-wise intensity values. It identifies the simplest model that fits the data best, among the set of viable fragility models considered. The proposed methodology is demonstrated for empirical fragility assessments for two different tsunami events and different classes of buildings with varying numbers of observed damage and flow depth data pairs. As case studies, observed pairs of data for flow depth and the corresponding damage level from the South Pacific tsunami on 29 September 2009 and the Sulawesi–Palu tsunami on 28 September 2018 are used. Damage data related to a total of five different building classes are analysed. It is shown that the proposed methodology is stable and efficient for data sets with a very low number of damage versus intensity data pairs and cases in which observed data are missing for some of the damage levels.

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Language(s): eng - English
 Dates: 2023-03-02
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5194/nhess-23-909-2023
 Degree: -

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Project name : Geo.INQUIRE
Grant ID : 101058518
Funding program : Horizon Europe (HE)
Funding organization : European Commission (EC)

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Title: Natural Hazards and Earth System Sciences (NHESS)
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 23 Sequence Number: - Start / End Page: 909 - 931 Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals352