[S01-1] Open session I

[S01-1-05] Rapid estimation of seismic moment, magnitude and energy for small to large events: improvement from Central Italy, 2016 seismic sequence

^○Antonella Gallo¹, Giovanni Costa¹, Rita De Nardis², Luisa Filippi³, Giusy Lavecchia², Elisa Zambonelli³ (1.Department of Mathematics and Geosciences, University of Trieste, Italy, 2.CRUST-DiSPUTer-Universiy of Chieti-Pescara “G. d'Annunzio", Chieti Scalo, Italy, 3.Dipartimento di Protezione Civile, Roma, Italy)

The implementation of techniques that are able to determine the characteristics of a given event in near real time is essential for seismology and is of enormous importance to deal with the seismic emergency as quickly and accurately as possible. The SeisRaM (Seismological Research and Monitoring) Group of the Department of Mathematics and Geosciences of the University of Trieste is concerned to the seismic monitoring in real time of the Italian territory. Techniques and procedures have been developed for the accurate determination of source parameters that are computed within few minutes after the earthquakes and rapidly revised. A long collaboration with a National Civil Protection leads to improve the quality of the results and to optimize such procedures for civil defense purpose. The recent seismic sequence, occurred in the intra-Apennine extensional fault system of Central Italy, gave the opportunity to further test the near real time system. In fact, records from the seismic sequence following the Amatrice earthquake of 2016, 24 August (Lavecchia et al, 2016), are analyzed using an automated routine to determine moment magnitudes and strong motion parameters. Seismic moment and the corresponding moment magnitude are obtained from the spectrum of far-field body waves (Gallo et al, 2014), as well as radiated energy, the Brune stress drop and apparent stress. The application of the automated algorithm in near real time provides important insight into the ground motion characteristic to obtain a rapid characterization of seismic source parameters in case of a strong event, for research, engineering purposes and emergency services.