GNGTS 2022 - Atti del 40° Convegno Nazionale

202 GNGTS 2022 Sessione 2.1 Tab. 1 - GMMs selected for this work. Rjb = Joyner and Boore distance, Repi = epicentral distance, Rhypo = hypocentral distance, Rrup = rupture distance. GMMs Acronym R metric     Range of applicability M R (km) Ambraseys et al. (1996) AMB96 Rjb Ms = 4 - 7.5 0 - 200 Sabetta and Pugliese (1996) SP96 Rjb, Repi 4.6 - 6.8 0 - 100 Ambraseys and Douglas (2003) AD03 Rjb Ms = 5.8 - 7.8 0 - 15 Akkar and Bommer (2010) AB10 Rjb 5 - 7.6 0 - 99 Bindi et al. (2011) ITA10 Rjb 4.1 – 6.9 0 - 200 Akkar et al. (2014) ASB14 Rjb, Rhypo, Repi 4.7 – 7.6 0 - 200 Campbell and Bozorgnia (2014) CB14 Rrup 5.5 – 8.5 0 - 300 Boore et al. (2014) BSSA14 Rjb 3 – 7.9 0 - 400 Chiou and Youngs (2014) CY14 Rrup 3.5 – 8.0 0 - 300 Cauzzi et al. (2015) CEA15 Rrup 4.5 – 7.9 0 - 150 Bindi et al. (2014) ITA14 Rjb, Rhypo 4 – 7.6 0 - 300 Lanzano et al. (2019) ITA18 Rjb, Rrup 3.5 - 8 0 - 200 Kotha et al. (2020) K20 Rjb 3 – 7.4 0 - 545 between (d B e ) and a within component (d W es ). Between-event residuals (Eq. 1) represent the average shift of the observed ground motions of an individual earthquake e from the median predicted value µ es obtained using a specific GMM (Chen and Faccioli, 2013). Note that, in Eq.1, y es is the natural logarithm of the observation of earthquake e at station s and NS the total number of stations (recordings) available for earthquake ( e ). On the other hand, within-event residuals (Eq. 2) are defined as the misfit between an individual observation of earthquake e at station s ( y es ) with respect to the event-corrected median estimate ( µ es + δB e ). (1) (2) Fig. 2 shows the mean between event residuals (mean δB e ) computed for the different GMMs under study; the values are shown separately for four periods (0s, 0.5s, 1s and 2s) and Fig. 1 - Magnitude and distance (M w – R jb ) ranges of the records used in this study (blue rectangle), selected from the NESS2 dataset. (Left): distribution of NESS2 records with respect to their EC8 site class, (right): distribution of NESS2 records with respect to their faulting mechanism. (Adapted from Paolucci et al. , 2022).