State of the Art and Future Perspectives of the Engineering Strong Motion Database Data Processing
Session: Strong-Motion Data Processing and Dissemination: State-of-the-Art and Outlook
Type: Oral
Date: 4/23/2021
Presentation Time: 09:45 AM Pacific
Description:
In this work, we present the new strong-motion service for the data processing of the Engineering Strong Motion database (ESM, https://esm-db.eu) and the future perspectives for automated quality screening and processing of large ground-motion datasets.
ESM is developed under the general coordination of the ORFEUS (Observatories and Research facilities for European Seismology; http://orfeus-eu.org/) strong-motion management committee with the aim to enables users to access daily updated strong-motion waveforms related to events with magnitude greater than 4, mainly recorded in the Pan-European regions. ESM is fully compatible with the European Integrated Data Archive (EIDA; http://orfeus-eu.org/data/eida/) and disseminates waveforms and related metadata according to the Federation of Digital Seismograph Networks (FDSN, https://www.fdsn.org/networks/).
Accelerometric waveforms uploaded in the ESM database are routinely processed following a standard procedure (Paolucci et al., 2011; Puglia et al., 2018) and then visually inspected and revised by means of a renewed user-friendly web interface (https://esm-db.eu/processing/select). Although the expert judgment both on the data quality and the processing settings is an undeniable added value, the ever-increasing growth rate (currently about 2,000 records per year) requires the development of an automated protocol to reduce the need for manual intervention. In this regards the machine-learning-based method should open new perspectives to automatically classify and process large ground-motion datasets. Furthermore, it should be advisable to implement in the ESM data processing service alternative processing schemes accounting for specific features of the seismic records such as near-source effects (i.e., fling-step).
Presenting Author: Maria D'Amico
Student Presenter: No
Authors
Maria D'Amico Presenting Author maria.damico@ingv.it Istituto Nazionale di Geofisica e Vulcanologia |
Lucia Luzi lucia.luzi@ingv.it Istituto Nazionale di Geofisica e Vulcanologia |
Claudia Mascandola claudia.mascandola@ingv.it Istituto Nazionale di Geofisica e Vulcanologia |
Chiara Felicetta chiara.felicetta@ingv.it Istituto Nazionale di Geofisica e Vulcanologia |
Emiliano Russo emiliano.russo@ingv.it Istituto Nazionale di Geofisica e Vulcanologia |
Rodolfo Puglia rodolfo.puglia@ingv.it Istituto Nazionale di Geofisica e Vulcanologia |
Giovanni Lanzano Corresponding Author giovanni.lanzano@ingv.it Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Milano |
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State of the Art and Future Perspectives of the Engineering Strong Motion Database Data Processing
Category
Strong-motion Data Processing and Dissemination: State-of-the-Art and Outlook