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We present the results of a feasibility study of an earthquake early warning system (EEWS) for the Campania region (southern Italy) using schools as specific targets. The study considered the seismogenic zones as sources of potential earthquakes for the area, the Italian accelerometric network as the recording network for seismic event occurrence, and the performances of the software platform PRESTo for data analysis and processing. We analyze the distribution of lead-times for all possible threatening seismic sources for each municipality in the region under study by extracting the lead-time value corresponding to the 5th, 10th and 25th percentiles of the distributions. We discuss the results for the 5th percentile in order to analyze the worst-case scenario: in the case of a single site, the lead-time is expected to be larger than this value in the 95 % of the cases. Since the population distribution in Campania is uneven and most of the people live nearby the coast, whilst the most destructive earthquakes occur along the Apennine chain, we can conclude that an efficient EEWS can allow most of the schools in the area to undertake some mitigating actions. The testing of the EEWS was carried out in the high school ITIS 'E. Majorana', located at Somma Vesuviana, about 80 km from the seismogenic Irpinia region. For this purpose, the Sentinel, an actuator made up of low-cost hardware (i.e., Arduino), was developed in close cooperation with students and teachers of the school to receive alert messages from the PRESTo platform and warn the school users in case of a seismic event. The EEWS and the Sentinel were successfully tested during some blind drills performed during normal school activities. [ABSTRACT FROM AUTHOR]

The Alto-Tiberina fault (ATF), located within the Umbria-Marche region in Central Italy, is a low-angle dipping fault plane that shows both a seismic and an aseismic behavior (creeping). Although in the last years only moderate earthquakes have been recorded in correspondence of the high-angle synthetic and antithetic faults located in the fault hanging wall, some studies suggest that a strong earthquake (M>6.5) can be generated in correspondence of a locked volume in the northern part of ATF fault plane.The aim of this work, in the framework of the project "Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe" (SERA), is to obtain a detailed seismic catalogue on the ATF to better define the seismic/aseismic patches and possible interactions with the shallower seismicity in the high-angle synthetic and antithetic faults.The spatio-temporal distribution of microseismicity from 2010 to 2014 along the ATF has been analyzed project by using a template matching algorithm that allows augmenting the detected earthquakes of a factor 10, and decreasing of 1-1.5 degrees the completeness magnitude.An input catalogue of 3680 events located along the ATF fault plane and the waveforms from 20 seismic stations of the Alto-Tiberina near fault observatory (TABOO) are considered. To avoid including events out of the low-angle ATF plane, after the template matching process, an accurate validation procedure has been applied by using a statistical analysis of detection parameters.From a time-space analysis of the new catalogue we observe that during the Pietralunga (2010), Città di Castello (2013) and Gubbio (2013-2014) sequences (MWmax=3.9) that occurred in the shallow crust, the ATF in-plane seismicity increases at the bottom of the synthetic and antithetical faults intersecting the ATF low-angle main fault plane.Furthermore, it is interesting to note that a microseismicity swarm on ATF Fault plane anticipate of about 1 month the occurrence of Città di Castello sequence in 2013. In addition, along-strike seismic migrations are observed during the entire analyzed time period and in particular before the Gubbio sequence in 2013, in proximity of its nucleation area. [ABSTRACT FROM AUTHOR]

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.