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A comprehensive integrated macroseismic dataset from multiple earthquake studies
by
Rossi, Antonio
, Castelli, Viviana
, Maramai, Alessandra
, Tuvè, Tiziana
, Antonucci, Andrea
, Bernardini, Filippo
, Tertulliani, Andrea
, Ercolani, Emanuela
, Orlando, Martina
, Graziani, Laura
in
Analysis
/ Data points
/ Datasets
/ Earthquakes
/ Hazard assessment
/ Italy
/ Questionnaires
/ Robustness
/ Seismic activity
/ Seismology
2025
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A comprehensive integrated macroseismic dataset from multiple earthquake studies
by
Rossi, Antonio
, Castelli, Viviana
, Maramai, Alessandra
, Tuvè, Tiziana
, Antonucci, Andrea
, Bernardini, Filippo
, Tertulliani, Andrea
, Ercolani, Emanuela
, Orlando, Martina
, Graziani, Laura
in
Analysis
/ Data points
/ Datasets
/ Earthquakes
/ Hazard assessment
/ Italy
/ Questionnaires
/ Robustness
/ Seismic activity
/ Seismology
2025
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Do you wish to request the book?
A comprehensive integrated macroseismic dataset from multiple earthquake studies
by
Rossi, Antonio
, Castelli, Viviana
, Maramai, Alessandra
, Tuvè, Tiziana
, Antonucci, Andrea
, Bernardini, Filippo
, Tertulliani, Andrea
, Ercolani, Emanuela
, Orlando, Martina
, Graziani, Laura
in
Analysis
/ Data points
/ Datasets
/ Earthquakes
/ Hazard assessment
/ Italy
/ Questionnaires
/ Robustness
/ Seismic activity
/ Seismology
2025
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A comprehensive integrated macroseismic dataset from multiple earthquake studies
Journal Article
A comprehensive integrated macroseismic dataset from multiple earthquake studies
2025
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Overview
Each Italian earthquake included in the Italian Parametric Catalogue (CPTI) is based on a single study, with its database stored in the Italian Macroseismic Database (DBMI). The DBMI contains macroseismic-intensity data for approximately 5000 Italian earthquakes. However, for the same events, numerous studies have been independently carried out over the years, with the data of such studies not having been incorporated into the DBMI. By consolidating all available data for each event, it is possible to significantly enhance the dataset used for hazard assessments and the reconstruction of local seismic histories. This approach would make studies of individual events much more robust and comprehensive. The objective of this work is to propose the integration of different macroseismic datasets for individual events by identifying criteria that can effectively merge a large number of intensity data points. A total of 45 Italian earthquakes with data from multiple sources were identified and reassessed through a rapid review process. This effort has resulted in the creation of a new dataset (https://doi.org/10.13127/macroseismic/teral024, Tertulliani et al., 2024), substantially increasing the number of macroseismic data points (MDPs) for the earthquakes covered by this study compared to in the DBMI15 (from 2892 to 9328 MDPs). Consequently, the macroseismic distributions for these 45 events have become more detailed, robust, and extensive.
Publisher
Copernicus GmbH,Copernicus Publications
Subject
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