Articles | Volume 17, issue 8
https://doi.org/10.5194/essd-17-4063-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-4063-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A comprehensive integrated macroseismic dataset from multiple earthquake studies
Andrea Tertulliani
CORRESPONDING AUTHOR
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Andrea Antonucci
Istituto Nazionale di Geofisica e Vulcanologia, Milan, Italy
Filippo Bernardini
Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy
Viviana Castelli
Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy
Emanuela Ercolani
Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy
Laura Graziani
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Alessandra Maramai
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Martina Orlando
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Dipartimento di Scienze, Università Roma TRE, Rome, Italy
Antonio Rossi
Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
Tiziana Tuvè
Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, Catania, Italy
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We present a probabilistic approach for integrating incomplete intensity distributions by means of the Bayesian combination of estimates provided by intensity prediction equations (IPEs) and data documented at nearby localities, accounting for the relevant uncertainties. The performance of the proposed methodology is tested at 28 Italian localities with long and rich seismic histories and for the strong 1980 and 2009 earthquakes in Italy. An application of this approach is also illustrated.
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Short summary
We present the results of a rapid and reliable study of 45 Italian earthquakes characterized by datasets with potential inconsistencies or inhomogeneities. The used methodology obviates the need for exhaustive earthquake re-evaluation, and it is particularly effective for the updating of medium and low events, with a large amount of low-intensity data. The result is a new dataset very useful in improving “seismic histories” and in contributing to the enhancement of the seismic hazard of an area.
We present the results of a rapid and reliable study of 45 Italian earthquakes characterized by...
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