Preprints
https://doi.org/10.5194/nhess-2022-216
https://doi.org/10.5194/nhess-2022-216
02 Sep 2022
 | 02 Sep 2022
Status: a revised version of this preprint is currently under review for the journal NHESS.

Looking for undocumented earthquake effects: an application to Italian localities

Andrea Antonucci, Andrea Rovida, Vera D'Amico, and Dario Albarello

Abstract. A methodology to detect local incompleteness of macroseismic intensity data at the local scale is presented. In particular, the probability that undocumented effects actually occurred at a site is determined by considering intensity prediction equations (in their probabilistic form) integrated by observations relative to known events documented at surrounding sites. Outcomes of this analysis can be used to investigate how representative and known are the seismic histories of localities (i.e., the list of documented effects through time). The proposed approach is applied to the Italian area. The analysis shows that, at most of the considered sites, effects of intensity ≥ 6 should most probably have been occurred at least once, but they are not contained in the current version of the Italian Macroseismic Databases. In few cases, instead, the lack of data may concern higher intensity levels (i.e., ≥ 8). The distribution of potentially lost information suggests geographical correlations possibly related to the heterogeneity of the seismic activity over the Italian territory.

Andrea Antonucci et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2022-216 Antonucci et al.', Carlos H. Caracciolo, 28 Oct 2022
    • AC1: 'Reply on RC1', Andrea Antonucci, 20 Jan 2023
  • RC2: 'Comment on nhess-2022-216', Josep Batlló, 11 Jan 2023
    • AC2: 'Reply on RC2', Andrea Antonucci, 20 Jan 2023

Andrea Antonucci et al.

Andrea Antonucci et al.

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Short summary
The earthquake effects undocumented at 228 Italian localities were calculated through a probabilistic approach starting from the values obtained through the use of an intensity prediction equation taking into account the intensity data documented at close localities for a given earthquake. The results showed some geographical dependences and correlations with the intensity levels investigated.
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