Time-dependent neo-deterministic seismic hazard scenarios: Preliminary report on the M6.2 Central Italy earthquake, 24th August 2016

A scenario-based Neo-Deterministic approach to Seismic Hazard Assessment (NDSHA) is available nowadays, which permits considering a wide range of possible seismic sources as the starting point for deriving scenarios by means of full waveforms modeling. The method does not make use of attenuation relations and naturally supplies realistic time series of ground shaking, including reliable estimates of ground displacement, readily applicable to complete engineering analysis. Based on the neo-deterministic approach, an operational integrated procedure for seismic hazard assessment has been developed that allows for the definition of time dependent scenarios of ground shaking, through the routine updating of earthquake predictions, performed by means of the algorithms CN and M8S. The integrated NDSHA procedure for seismic input definition, which is currently applied to the Italian territory, combines different pattern recognition techniques, designed for the space-time identification of strong earthquakes, with algorithms for the realistic modeling of ground motion. Accordingly, a set of deterministic scenarios of ground motion at bedrock, which refers to the time interval when a strong event is likely to occur within the alerted area, is defined both at regional and local scale. CN and M8S predictions, as well as the related time-dependent ground motion scenarios associated with the alarmed areas, are routinely updated since 2006. The prospective application of the time-dependent NDSHA approach provides information that can be useful in assigning priorities for timely mitigation actions and, at the same time, allows for a rigorous validation of the proposed methodology. The results from real-time testing of the time-dependent NDSHA scenarios are illustrated with specific reference to the August 24th, 2016 Central Italy earthquake.

[1]  K. Priestley,et al.  FOCAL DEPTHS OF MODERATE AND LARGE SIZE EARTHQUAKES IN IRAN , 2002 .

[2]  G. Panza,et al.  The contribution of pattern recognition of seismic and morphostructural data to seismic hazard assessment , 2014, 1406.2932.

[3]  A. A. Soloviev,et al.  Nonlinear dynamics of the lithosphere and earthquake prediction , 2003 .

[4]  F. Vaccari,et al.  Neo-Deterministic Seismic Hazard and Pattern Recognition Techniques: Time-Dependent Scenarios for North-Eastern Italy , 2011 .

[5]  Vladimir Kossobokov,et al.  Operational earthquake forecast/prediction , 2012, Rendiconti Lincei.

[6]  Kojiro Irikura,et al.  Advanced Seismic Hazard Assessment , 2011 .

[7]  Vladimir Kossobokov,et al.  Advance prediction of the March 11, 2011 Great East Japan Earthquake: A missed opportunity for disaster preparedness , 2012 .

[8]  Antonella Peresan,et al.  Seismic Hazard Scenarios as Preventive Tools for a Disaster Resilient Society , 2012 .

[9]  S. Pulinets,et al.  Pre-Earthquake Processes : A Multidisciplinary Approach to Earthquake Prediction Studies , 2018 .

[10]  Giuliano F. Panza,et al.  Seismic wave propagation in laterally heterogeneous anelastic media: Theory and applications to seismic zonation , 2001 .

[11]  Vladimir Kossobokov,et al.  Intermediate-term middle-range earthquake predictions in Italy: a review , 2005 .

[12]  Gianluca Valensise,et al.  Redazione della mappa di pericolosita' sismica prevista dall'Ordinanza della Presidenza del Consiglio dei Ministri del 20 Marzo 2003, n. 3274 , 2004 .

[13]  G. Panza,et al.  Identification of seismogenic nodes in the Alps and Dinarides , 2004 .