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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9370850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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