Since 2005, the Italian Civil Protection (Dipartimento della Protezione Cilvile, DPC) has funded several projects driven toward fast assessment of ground motion shaking in Italy-the final goal being that of organizing the emergency and direct the search and rescue (SAR) teams. To this end, the Istituto Nazionale di Geofisica e Vulcanologia (INGV) has started to determine shakemaps using the USGS-ShakeMap package within 30 minutes from event occurrence and adopting a manually revised location. In this paper we present the INGV implementation of USGS-ShakeMap for earthquakes occurring in Italy and immediately neighboring areas. Emphasis is put on data acquisition, the adopted ground motion predictive relations and the site corrections for the local amplifications of the ground motion. Finally, two examples of shakemaps are shown-the first determined for a recent medium size earthquake, the other for the large Irpinia, 1980, M6.9 event. For both events, the maps are compared to the available macroseismic data.
This work describes a procedure to configure U.S. Geological Survey (USGS)‐ShakeMap for a given region. The procedure is applied to Italy to update and improve the ShakeMap service provided by Istituto Nazionale di Geofisica e Vulcanologia (INGV). The new configuration features (1) the adoption of recently developed ground‐motion models (GMMs) and of an updated map of VS30 for the local site effects and (2) the adoption of the newly developed USGS‐ShakeMap version 4 (v.4) software (see Data and Resources). We have used the same subdivision in tectonic regimes adopted for the GMMs for the new Italian seismic hazard model (MPS19, Meletti et al., 2017) and selected the most appropriate GMMs after application of a ranking procedure consisting of statistical tests. A cross‐validation technique has been applied to test the goodness of the selected configuration and to compare the ShakeMaps obtained with the old (Michelini et al., 2008) and the new settings. Finally, the INGV ShakeMap workflow has been renovated to exploit the data and analysis chain implemented at INGV from real‐time data streams acquisition to analyst revised waveforms including additional data (e.g., revised location, fault geometry) that may become available days after the event occurrence.
<p>On May 20, 2012 (02:03:53 UTC), an Mw 5.86 (Ml 5.9) earthquake struck the Pianura Padana Emiliana region (northern Italy), causing five deaths and damage to several villages and to the towns of Ferrara and Modena. The mainshock was preceded, three hours earlier, by a Mw 3.98 (Ml 4.1) foreshock, which almost co-located with the main event. After the main event, the seismic sequence included six earthquakes with magnitudes >5.0. The biggest aftershock was located about 12 km west of the first mainshock, and was a Mw 5.66 (Ml 5.8) earthquake that occurred on May 29, 2012 (07:00:03 UTC); this can be considered as a second mainshock. After this event, the official death toll of the seismic sequence was 17 people. Moreover, there had been severe damage to the economy of the region and there were 13,000 homeless. [...]</p><p> </p><p> </p><p> </p><p> </p>
The European Integrated Data Archive (EIDA) is the infrastructure that provides access to the seismic-waveform archives collected by European agencies. This distributed system is managed by Observatories and Research Facilities for European Seismology. EIDA provides seamless access to seismic data from 12 data archives across Europe by means of standard services, exposing data on behalf of hundreds of network operators and research organizations. More than 12,000 stations from permanent and temporary networks equipped with seismometers, accelerometers, pressure sensors, and other sensors are accessible through the EIDA federated services. A growing user base currently counting around 3000 unique users per year has been requesting data and using EIDA services. The EIDA system is designed to scale up to support additional new services, data types, and nodes. Data holdings, services, and user numbers have grown substantially since the establishment of EIDA in 2013. EIDA is currently active in developing suitable data management approaches for new emerging technologies (e.g., distributed acoustic sensing) and challenges related to big datasets. This article reviews the evolution of EIDA, the current data holdings, and service portfolio, and gives an outlook on the current developments and the future envisaged challenges.
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