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

被引：8

作者：

Costa, Giovanni ^{[1
]}

Brondi, Piero ^{[1
]}

Cataldi, Laura ^{[1
]}

Cirilli, Stefano ^{[1
]}

Cuius, Arianna ^{[1
]}

Ertuncay, Deniz ^{[1
]}

Falconer, Piero ^{[1
]}

Filippi, Luisa ^{[2
]}

Fornasari, Simone Francesco ^{[1
]}

Pazzi, Veronica ^{[1
]}

Turpaud, Philippe ^{[1
]}

机构：

[1] Univ Trieste, Dept Math & Geosci, SeisRaM Working Grp, Via Eduardo Weiss 4, I-34128 Trieste, Italy

[2] Presidenza Consiglio Minist, Civil Protect Dept, Via Vitorchiano 4, I-00195 Rome, Italy

来源：

SENSORS | 2022年 / 22卷 / 15期

关键词：

Italian Strong Motion Network; seismic hazard; emergency management; Antelope software; strong motion parameters; ground motion parameters; automatic earthquake detection; earthquake monitoring; civil protection; ground shaking maps; SEISMIC HAZARD MAPS; ANOMALY DETECTION; EARTHQUAKE; NETWORK; INTENSITY; STRESS; ENERGY;

D O I：

10.3390/s22155699

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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.

引用

页数：17

共 74 条

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