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Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis

A strong motion monitoring network records data that provide an excellent way to study how source, path, and site effects influence the ground motion, specifically in the near-source area. Such data are essential for updating seismic hazard maps and consequently building codes and earthquake-resista...

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Autores principales: Costa, Giovanni, Brondi, Piero, Cataldi, Laura, Cirilli, Stefano, Cuius, Arianna, Ertuncay, Deniz, Falconer, Piero, Filippi, Luisa, Fornasari, Simone Francesco, Pazzi, Veronica, Turpaud, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370850/
https://www.ncbi.nlm.nih.gov/pubmed/35957260
http://dx.doi.org/10.3390/s22155699
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author Costa, Giovanni
Brondi, Piero
Cataldi, Laura
Cirilli, Stefano
Cuius, Arianna
Ertuncay, Deniz
Falconer, Piero
Filippi, Luisa
Fornasari, Simone Francesco
Pazzi, Veronica
Turpaud, Philippe
author_facet Costa, Giovanni
Brondi, Piero
Cataldi, Laura
Cirilli, Stefano
Cuius, Arianna
Ertuncay, Deniz
Falconer, Piero
Filippi, Luisa
Fornasari, Simone Francesco
Pazzi, Veronica
Turpaud, Philippe
author_sort Costa, Giovanni
collection PubMed
description A strong motion monitoring network records data that provide an excellent way to study how source, path, and site effects influence the ground motion, specifically in the near-source area. Such data are essential for updating seismic hazard maps and consequently building codes and earthquake-resistant design. This paper aims to present the Italian Strong Motion Network (RAN), describing its current status, employment, and further developments. It has 648 stations and is the result of a fruitful co-operation between the Italian government, regions, and local authorities. In fact, the network can be divided into three sub-networks: the Friuli Venezia Giulia Accelerometric Network, the Irpinia Seismic Network, and all the other stations. The Antelope software automatically collects, processes, and archives data in the data acquisition centre in Rome (Italy). The efficiency of the network on a daily basis is today more than 97%. The automatic and fast procedures that run in Antelope for the real-time strong motion data analysis are continuously improved at the University of Trieste: a large set of strong motion parameters and correspondent Ground Motion Prediction Equations allow ground shaking intensity maps to be provided for moderate to strong earthquakes occurring within the Italian territory. These maps and strong motion parameters are included in automatic reports generated for civil protection purposes.
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spelling pubmed-93708502022-08-12 Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis Costa, Giovanni Brondi, Piero Cataldi, Laura Cirilli, Stefano Cuius, Arianna Ertuncay, Deniz Falconer, Piero Filippi, Luisa Fornasari, Simone Francesco Pazzi, Veronica Turpaud, Philippe Sensors (Basel) Article A strong motion monitoring network records data that provide an excellent way to study how source, path, and site effects influence the ground motion, specifically in the near-source area. Such data are essential for updating seismic hazard maps and consequently building codes and earthquake-resistant design. This paper aims to present the Italian Strong Motion Network (RAN), describing its current status, employment, and further developments. It has 648 stations and is the result of a fruitful co-operation between the Italian government, regions, and local authorities. In fact, the network can be divided into three sub-networks: the Friuli Venezia Giulia Accelerometric Network, the Irpinia Seismic Network, and all the other stations. The Antelope software automatically collects, processes, and archives data in the data acquisition centre in Rome (Italy). The efficiency of the network on a daily basis is today more than 97%. The automatic and fast procedures that run in Antelope for the real-time strong motion data analysis are continuously improved at the University of Trieste: a large set of strong motion parameters and correspondent Ground Motion Prediction Equations allow ground shaking intensity maps to be provided for moderate to strong earthquakes occurring within the Italian territory. These maps and strong motion parameters are included in automatic reports generated for civil protection purposes. MDPI 2022-07-29 /pmc/articles/PMC9370850/ /pubmed/35957260 http://dx.doi.org/10.3390/s22155699 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Costa, Giovanni
Brondi, Piero
Cataldi, Laura
Cirilli, Stefano
Cuius, Arianna
Ertuncay, Deniz
Falconer, Piero
Filippi, Luisa
Fornasari, Simone Francesco
Pazzi, Veronica
Turpaud, Philippe
Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis
title Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis
title_full Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis
title_fullStr Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis
title_full_unstemmed Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis
title_short Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis
title_sort near-real-time strong motion acquisition at national scale and automatic analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370850/
https://www.ncbi.nlm.nih.gov/pubmed/35957260
http://dx.doi.org/10.3390/s22155699
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