2026-10-11T04:43:22Z https://oai.datacite.org/oai

doi:10.13127/hic-scenarios 2025-04-23T13:42:31Z WNGN CRUI.INGV

1 CRUI.INGV 10.13127/HIC-SCENARIOS Čejka, František František Čejka https://orcid.org/0000-0001-6418-0029 Charles University Sgobba, Sara Sara Sgobba https://orcid.org/0000-0002-5669-8650 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Pacor, Francesca Francesca Pacor https://orcid.org/0000-0001-5745-0414 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Felicetta, Chiara Chiara Felicetta https://orcid.org/0000-0003-2852-9144 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Valentová, Lubica Lubica Valentová https://orcid.org/0000-0002-9574-1105 Charles University Gallovic, Frantisek Frantisek Gallovic https://orcid.org/0000-0002-9268-3923 Charles University Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2024 Output of seismological analyses ground motion model central italy kinematic simulations Istituto Nazionale di Geofisica e Vulcanologia (INGV) https://ror.org/00qps9a02 Charles University https://ror.org/024d6js02 2024-03-14 en 10.1785/0120230251 849 MB text/csv text/plain application/x-7z-compressed 1.0 Open Access Creative Commons Attribution 4.0 International The flat-file collects synthetic ground motion parameters from kinematic rupture scenarios for Central Italy. The scenarios are generated using the Hybrid Integral Composite (HIC) model by Gallovič and Brokešová (2008) for a hypothetical representative event of Mw 6.2 (Amatrice 2016-like), in a shallow extensional tectonic setting. The synthetic seismograms are computed in 1D crustal velocity models, including region-specific profiles and creating thousands of rupture scenarios by varying the source parameters, i.e.: i) the fault area, ii) the nucleation point position, iii) the slip distribution, iv) the rupture velocity, and v) the subsource corner frequencies. The resulting distributions of synthetic spectral accelerations, as discussed in Čejka et al (2024), agree with the empirical ground motion model of Sgobba et al. (2021) for Central Italy in terms of the mean and total variability. Central Italy Central Italy 10.8168 15.9602 40.7564 44.2245 Ministero dell'Università e della Ricerca (MUR) https://doi.org/10.13039/501100003407 Pianeta Dinamico: Geoscienze per la comprensione dei meccanismi di funzionamento della Terra e dei conseguenti rischi naturali