Seismic characterization and reconstruction of reference ground motion at accelerometric sites of the Italian national accelerometric network (RAN)

Albarello, Dario; Francescone, Marco; Lunedei, Enrico; Paolucci, Enrico; Papasidero, Michele Pio; Peruzzi, G.; Pieruccini, Pierluigi

doi:10.1007/s11069-016-2310-4

Cited by 10 publications

(7 citation statements)

References 22 publications

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“…Seismic characterization of the accelerometric sites should be promoted in Italy, in order to improve the current knowledge on strong motion seismology and to retrieve ground motion at reference soil conditions, by removing the effect of local seismic response (Albarello et al 2016) to develop reliable ground motion prediction equations.…”

Section: Discussionmentioning

confidence: 99%

Site characterization of Italian accelerometric stations

Felicetta

D’Amico

Lanzano

et al. 2016

Bull Earthquake Eng

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The last release of the strong-motion database ITACA (ITalian ACelerometric Archive v 2.1, http://itaca.mi.ingv.it) includes, to date, about 25,222 three-component accelerometric waveforms generated by 1365 earthquakes with magnitude between 3.0 and 6.9 and recorded by 1210 stations in the time frame 1972-2015. One of the main goals of ITACA is to improve the characterization of the recording sites from the geological and geophysical point of view and to provide seismic classification according to Italian seismic code. To this aim, metadata of recording stations are stored in three main thematic levels (topographic features, geological features and geophysical measurements) useful for a large variety of applications in engineering seismology or earthquake engineering. In particular, 206 recording stations have been characterized by quantitative measurements of velocity profiles, conducted through different techniques (active and/or passive), and the V S,30 values are available in ITACA 2.1. Moreover, 357 horizontal to vertical spectral ratios of Fourier spectra of ambient noise and the value of the fundamental frequency are also accessible. All details about the stations contained in the ITACA database are described in specific reports.

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Section: Discussionmentioning

confidence: 99%

Site characterization of Italian accelerometric stations

Felicetta

D’Amico

Lanzano

et al. 2016

Bull Earthquake Eng

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“…Recently some efforts have been carried out at national level to perform extensive site characterization at seismic stations (e.g. Sandikkaya et al 2010;Michel et al 2014;Stewart et al 2014;Albarello et al 2017;Felicetta et al 2017;Hollender et al 2018). Currently only a few seismological national networks expose site condition characteristics with very detailed information and reports on site topography, morphology, geology and on seismic surveys used to derive V S profiles (Cornou and Bard 2019): examples of national database are provided by Switzerland through Site Characterization Database for Seismic Stations (Swiss Seismological Service (SED) at ETH Zürich 2015, http:// stati ons.…”

Section: Introductionmentioning

confidence: 99%

Indicators for site characterization at seismic station: recommendation from a dedicated survey

Cultrera

Cornou

Giulio

et al. 2021

Bull Earthquake Eng

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In recent years, the permanent seismic networks worldwide have largely increased, raising the amount of earthquake signals and the applications using seismic records. Although characterization of the soil properties at recording stations has a large impact on hazard estimates, it has not been implemented so far in a standardized way for reaching high-level metadata. To address this issue, we built an online questionnaire for the identification of the indicators useful for a reliable site characterization at a seismic station. We analysed the answers of a large number of experts in different fields, which allowed us to rank 24 different indicators and to identify the most relevant ones: fundamental frequency (f0), shear-wave velocity profile (VS), time-averaged Vs over 30 m (VS30), depth of seismological and engineering bedrock (Hseis_bed and Heng_bed), surface geology and soil class. Moreover, the questionnaire proposed two additional indices in terms of cost and difficulty to obtain a reliable value of each indicator, showing that the selection of the most relevant indicators results from a complex balance between physical relevancy, average cost and reliability. For each indicator we propose a summary report, provided as editable pdf, containing the background information of data acquisition and processing details, with the aim to homogenize site metadata information at European level and to define the quality of the site characterization (see companion paper Di Giulio et al. 2021). The selected indicators and the summary reports have been shared within European and worldwide scientific community and discussed in a dedicated international workshop. They represent a first attempt to reach a homogeneous set of high-level metadata for site characterization.

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“…To retrieve the Vs pro les, assess the depth of main seismic impedance contrasts and SB as well as attributing representative seismic parameters to the gt_units, outcomes of the HVSR and array measurements were jointly inverted by using Genetic Algorithm, Monte Carlo or Simulated Annealing inversion procedure (e.g., Arai and Tokimatsu, 2005;Albarello et al, 2011;Garcia-Jerez et al, 2016). In order to explore possible uncertainty in the nal outcome, the inversion has been carried out a number of times by retrieving each time the best tting solution (e.g., Albarello et al, 2017). In Fig.…”

Section: From Egm To Eggmmentioning

confidence: 99%

“…Despite of the inherently semi-qualitative character of the SM rst level, its outcomes are of primary importance for the subsequent levels. In the second level SM, ampli cation effects induced by the local 1D stratigraphical con guration are quanti ed by adopting a simpli ed approach based on the use of suitable abacuses (Peruzzi et al, 2016;Albarello et al, 2017;Paolucci et al, 2020). This second level SM can be seen as the rst operative basis for land and emergency planning, providing speci c indications to local authorities as concerns management of preventive activities (e.g., Mori et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Developing effective subsoil reference model for seismic microzonation studies.

Pieruccini¹,

Paolucci²,

Fantozzi³

et al. 2021

Preprint

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A general methodological approach is here discussed to integrate geological and geophysical information in seismic microzonation studies. In particular, the methodology aims at maximizing the exploitation of low-cost data for extensive preliminary assessment of ground motion amplification phenomena induced by the local seismostratigraphical configuration. Three main steps are delineated: a) the combination of geological/geomorphological analyses to develop an Engineering-Geological Model of the study area; b) targeted geophysical prospecting to provide an Engineering-Geological/Geophysical Model; c) evaluating effectiveness of Engineering-Geological/Geophysical Model by estimating expected ground motion amplification phenomena by the use of suitable computational tools. The workflow is illustrated by a case-study based on a set of villages in the Umbro-Marchean Apennine (Central Italy) damaged during the Seismic sequence occurred in Central Italy during 2016–2017.

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Seismic characterization and reconstruction of reference ground motion at accelerometric sites of the Italian national accelerometric network (RAN)

Cited by 10 publications

References 22 publications

Site characterization of Italian accelerometric stations

Site characterization of Italian accelerometric stations

Indicators for site characterization at seismic station: recommendation from a dedicated survey

Developing effective subsoil reference model for seismic microzonation studies.

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