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http://hdl.handle.net/2122/15892
Authors: | Mascandola, Claudia* Lanzano, Giovanni* Pacor, Francesca* |
Title: | Consistency Check of ITACAext, the Flatfile of the Italian Accelerometric Archive | Journal: | Geosciences | Series/Report no.: | /12 (2022) | Publisher: | MDPI | Issue Date: | Sep-2022 | DOI: | 10.3390/geosciences12090334 | Keywords: | ground-motion models residual analysis consistency check strong motion flatfile |
Subject Classification: | 04.06. Seismology | Abstract: | We present the results of a consistency check performed over a flatfile of accelerometric data extracted from the ITalian ACcelerometric Archive (ITACA), enriched with velocimetric records of events with magnitude M < 4.0. The flatfile, called ITACAext, includes 31,967 waveforms from 1709 shallow crustal earthquakes, in the magnitude range from 3.0 to 6.9, and occurred in the period of 1972–2019 in Italy. The consistency check is carried out by decomposing the residuals obtained from a reference ground motion model, for the ordinates of the 5% damped acceleration response spectra. The residual components are subsequently analyzed to identify a list of events, stations, and records that significantly deviate from the median trends predicted by the model. The results indicate that about 10% of events and stations are outliers, while only 1% of the waveforms present anomalous amplitudes. The asymmetrical azimuthal coverage of seismic stations around the epicenter is the most common issue that can affect the estimates of the repeatable event residual term. On the other hand, peculiarities in the site-response or wrong estimates of the soil parameters (i.e., the average shear-wave velocity in the first 30 m of the subsoil) are the main issues related to the repeatable station residuals. Finally, single records can show large residuals because of issues related to signal acquisition (e.g., multiple events, noisy records) or possible near-source effects (e.g., rupture directivity). |
Appears in Collections: | Article published / in press |
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Mascandola_etal_2022_ITACAext.pdf | Open Access published article | 2.34 MB | Adobe PDF | View/Open |
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