Articles | Volume 24, issue 4
https://doi.org/10.5194/nhess-24-1401-2024
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the Creative Commons Attribution 4.0 License.
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https://doi.org/10.5194/nhess-24-1401-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Apr 2024
Research article |
| 24 Apr 2024
| 24 Apr 2024
Scoring and ranking probabilistic seismic hazard models: an application based on macroseismic intensity data
Istituto Nazionale di Geofisica e Vulcanologia, 56125 Pisa, Italy
Francesco Visini
Istituto Nazionale di Geofisica e Vulcanologia, 56125 Pisa, Italy
Andrea Rovida
Istituto Nazionale di Geofisica e Vulcanologia, 20133 Milan, Italy
Warner Marzocchi
Department of Earth Sciences, Environment and Resources, University of Naples Federico II, 80126 Naples, Italy
Carlo Meletti
Istituto Nazionale di Geofisica e Vulcanologia, 56125 Pisa, Italy
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Short summary
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.
We propose a scoring strategy to rank multiple models/branches of a probabilistic seismic hazard...
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