Articles | Volume 24, issue 4
https://doi.org/10.5194/nhess-24-1401-2024
https://doi.org/10.5194/nhess-24-1401-2024
Research article
 | 
24 Apr 2024
Research article |  | 24 Apr 2024

Scoring and ranking probabilistic seismic hazard models: an application based on macroseismic intensity data

Vera D'Amico, Francesco Visini, Andrea Rovida, Warner Marzocchi, and Carlo Meletti

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Cited articles

Abrahamson, N., Gregor, N., and Addo, K.: BC Hydro ground motion prediction equations for subduction earthquakes, Earthq. Spectra, 32, 23–44, https://doi.org/10.1193/051712EQS188MR, 2016. 
Albarello, D. and D'Amico, V.: Scoring and testing procedures devoted to probabilistic seismic hazard assessment, Surv. Geophys., 36, 269–293, https://doi.org/10.1007/s10712-015-9316-4, 2015. 
Albarello, D., Camassi, R., and Rebez, A.: Detection of space and time heterogeneity in the completeness of a seismic catalog by a statistical approach: an application to the Italian area, Bull. Seismol. Soc. Am., 91, 1694–1703, https://doi.org/10.1785/0120000058, 2001. 
Antonucci, A.: A probabilistic approach for integrating macroseismic data and its application to estimate the data completeness, PhD Thesis, University of Pisa, Pisa, 222 pp. https://etd.adm.unipi.it/theses/available/etd-02222022-104750/unrestricted/Andrea_Antonucci_PhD_Thesis.pdf (last access: 19 April 2024), 2022. 
Antonucci, A., Rovida, A., D'Amico, V., and Albarello, D.: Looking for undocumented earthquake effects: a probabilistic analysis of Italian macroseismic data, Nat. Hazards Earth Syst. Sci., 23, 1805–1816, https://doi.org/10.5194/nhess-23-1805-2023, 2023. 
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We propose a scoring strategy to rank multiple models/branches of a probabilistic seismic hazard analysis (PSHA) model that could be useful to consider specific requests from stakeholders responsible for seismic risk reduction actions. In fact, applications of PSHA often require sampling a few hazard curves from the model. The procedure is introduced through an application aimed to score and rank the branches of a recent Italian PSHA model according to their fit with macroseismic intensity data.
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