Central Italy dataset (CI)

Description

This page provides the data and products (parametric table and related research elaborations) associated with the Central Italy dataset described below.
This dataset consists of high-quality accelerometric and velocimetric waveforms related to stations and earthquakes located in Central Italy since 2009. It mainly includes events from normal faults that belong to the major seismic sequences that have occurred in Italy in the last 20 years (i.e. 2009, L’Aquila Mw 6.1; 2016-2017, Amatrice-Visso-Norcia Mw 6.5; 2018, Muccia Mw 4.6).
The overall dataset analyzed in this study consists of more than 30,000 waveforms of 456 earthquakes in the magnitude range between 3.2 and 6.5, and 460 stations within 120 km from the epicenter. The bulk data is characterized by low magnitudes (70% of the recordings have magnitudes less than 4 and more than 80% is in the distance range between 20 and 120 km).
The high density of events and stations in the study region, featured by dense azimuthal sampling of source-to-site ray paths, has allowed to produce several products related to seismological and geophysical parameters for ground motion prediction, which are downloadable below.

Products

  1. CI-FAS_flatfile: Parametric table of the Fourier Amplitude Spectra (FAS) ordinates and associated metadata for the shallow active crustal events in Central Italy (2009-2018) relative to the Central Italy datasets.
  2. CI-SA_flatfile: Parametric table of the 5% Acceleration response Spectra ordinates and associated metadata for the shallow active crustal events in Central Italy (2009-2018) relative to the Central Italy dataset.
  3. CI-GIT: seismological parameters and amplification functions derived by the GIT inversion described in Morasca et al (2022).
  4. CI-FAS_GMM: tables of the non-ergodic Fourier Amplitude Spectra (FAS)-based ground motion models. The zip file contains the results of the calibration of two non-ergodic FAS ground motion models calibrated on the CI dataset. The models are obtained using, as reference rock sites, the 36 recording stations identified by Lanzano et al. (2020), or, alternatively, the 6 recording sites furtherly selected by Morasca et al. (2022). The models are regressed using a one-step mixed-effect technique, with the functional form described in Morasca et al. (2022). The predictions are valid for PGA and 69 ordinates of FAS in the frequency interval 0.5Hz-25.06Hz.
  5. CI-FAS_GMM_one: Fourier Amplitude Spectra (FAS)-based ground motion model coefficients (one-step regression). It contains the coefficients and uncertainty terms of the non-ergodic FAS ground motion model calibrated on the CI dataset by Sgobba et al (2022) using a mixed-effect regression technique performed in one-step.
  6. CI-FAS_GMM_step: Fourier Amplitude Spectra (FAS)-based model coefficients (stepwise regression). It contains the coefficients and uncertainty terms of the non-ergodic FAS ground motion model calibrated on the CI dataset by Sgobba et al (2022) using a mixed-effect stepwise regression technique.
  7. CI-FAS_Directivity: dataset of directive events. It contains the information of the 162 analyzed events which shows directivity according to the criteria adopted in Colavitti et al (2022).
  8. CI-GIT_Spe: dataset of apparent source spectra for the events included in the GIT dataset.

Acknowledgments

This study has been partially developed within the research programs Pianeta Dinamico (Working Earth) - Geosciences for the Understanding of the Dynamics of the Earth and the Consequent Natural Risks (CUP code D53J19000170001), founded by the Italian Ministry of University and Research (MIUR) in the Task S3 - 2021 - Seismic attenuation and variability of seismic motion. This study has also benefited from funding provided by the agreement B1, DPC-INGV 2019-2021 between INGV and the Italian Dipartimento della Protezione Civile (DPC).

License

Creative Commons License The Central Italy datasets are licensed under the terms of the "Creative Commons Attribution 4.0 International (CC BY 4.0)" License. This means that you are free to share (reproduce, distribute, communicate to the public, publicly display, perform and play this material in any medium and format) and adapt (remix and build upon the material for any purpose, even commercially). The licensor cannot revoke these freedoms as long as you follow the license terms. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Disclaimer

This site provides access to the parametric table containing Central Italy parameters and associated earthquake, station and waveform metadata. Although all the parameters have been checked by analysts, no warranty, implicit or explicit is attached to the data. Every risk due to the improper use of data or the use of inaccurate information is assumed by the user.

References

  • Andrews D.J. (1986). Objective determination of source parameters and similarity of earthquakes of different size. In Das, S., Boatwright, J., and Scholz, C. H., editors, Earthquake Source Mechanics. American Geophysical Monograph 37, 259-267. https://doi.org/10.1029/GM037p0259
  • Bindi D., Luzi L., Massa M., Pacor F. (2010). Horizontal and vertical ground motion prediction equations derived from the Italian Accelerometric Archive (ITACA). Bull Earthq. Eng 8, 1209-1230. https://doi.org/10.1007/s10518-009-9130-9
  • Castro R.R., Anderson J.G., Singh K. (1990). Site response, attenuation and source spectra of S waves along the Guerrero, Mexico, subduction zone. Bull. Seism. Soc. Am. 80 (6A), 1481-1503. DOI: 10.1785/BSSA08006A1481
  • Herrmann R.B., Malagnini L., Munafò, I. (2011). Regional Moment Tensors of the 2009 L’Aquila earthquake Sequence. Bull. Seism. Soc. Am. 101 (3), 975-993. https://doi.org/10.1785/0120100184
  • Oth D., Bindi D., Parolai S., Di Giacomo D. (2010). Earthquake scaling characteristics and the scale-(in)dependence of seismic energy-to-moment ratio: Insights from KiK-net data in Japan. Geophys. Res. Lett. 37 (19). https://doi.org/10.1029/2010GL044572