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http://hdl.handle.net/2122/14805
Authors: | Faenza, Licia* Michelini, Alberto* Crowley, Helen* Borzi, Barbara* Faravelli, Marta* |
Title: | ShakeDaDO: A data collection combining earthquake building damage and ShakeMap parameters for Italy | Journal: | Artificial Intelligence in Geosciences | Series/Report no.: | /1 (2020) | Publisher: | Elsevier B.V. on behalf of KeAi Communications Co. Ltd. | Issue Date: | 11-Feb-2021 | DOI: | 10.1016/j.aiig.2021.01.002 | Keywords: | ShakeMap Damage Data Collection |
Subject Classification: | 05.08. Risk 05.02. Data dissemination 04.06. Seismology |
Abstract: | In this article, we present a new data collection that combines information about earthquake damage with seismic shaking. Starting from the Da.D.O. database, which provides information on the damage of individual buildings subjected to sequences of past earthquakes in Italy, we have generated ShakeMaps for all the events with magnitude greater than 5.0 that have contributed to these sequences. The sequences under examination are those of Irpinia 1980, Umbria Marche 1997, Pollino 1998, Molise 2002, L’Aquila 2009 and Emilia 2012. In this way, we were able to combine, for a total of the 117,695 buildings, the engineering parameters included in Da.D.O., but revised and reprocessed in this application, and the ground shaking data for six different variables (namely, in- tensity in MCS scale, PGA, PGV, SA at 0.3s, 1.0s and 3.0s). The potential applications of this data collection are innumerable: from recalibrating fragility curves to training machine learning models to quantifying earthquake damage. This data collection will be made available within Da.D.O., a platform of the Italian Department of Civil Protection, developed by EUCENTRE. |
Appears in Collections: | Article published / in press |
Files in This Item:
File | Description | Size | Format | |
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ShakeDaDO.pdf | Preprint of Article | 110.34 MB | Adobe PDF | View/Open |
faenza_etal_2021.pdf | Open Access paper | 9.71 MB | Adobe PDF | View/Open |
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