Use 5 site Eurocode 8 (EC8) classes (150 stations in total):
Vs,30> 800m∕s. CA= 1 and other Cis are zero.
360 < Vs,30≤ 800m∕s. CB= 1 and other Cis are zero.
180 < Vs,30≤ 360m∕s. CC= 1 and other Cis are zero.
Vs,30≤ 180m∕s. CD= 1 and other Cis are zero.
5–20m of C- or D-type alluvium underlain by stiffer material with Vs,30> 800m∕s. CE= 1 and other
Cis are zero.
About 130 stations are classified based on shear-wave velocity profiles and rest from geological and
Use 4 faulting mechanism classes using classification of Zoback (1992):
E1= 1 and other Eis are zero.
E2= 1 and other Eis are zero.
E3= 1 and other Eis are zero.
E4= 1 and other Eis are zero.
Derive models using 3 datasets:
Dataset of Bindi et al. (2011a) but retaining singly-recorded events to increase number of stations
with > 2 records. Only 25 stations recorded > 9 events. 117 stations.
Extend BIea to include all records from 4.0 ≤ Mw6.9 including those for which magnitude conversion
required. 254 stations.
Data from 2009 L’Aquila sequence (42.4-42.8N, 13.2-13.6E). 38 stations. All events are normal-faulting
(hence mechanism terms removed) and have focal depths < 10km.
Records baseline corrected and filtered using 2-order acausal Butterworth filter after cosine tapering.
Select cut-offs based on Fourier amplitude spectra. Double integrate to get displacements. Linearly detrend
displacements. Double differentiate to get correct accelerations.
Develop model to examine single-station σ (computed using approach of Rodriguez-Marek et al. (2011))
and influence of datasets on its value.
Examine inter-event residuals w.r.t. Mw and find no trends.
Examine intra-event residuals w.r.t. station number.
Examine intra-event residuals w.r.t. r and find large variability in range 80–100km, which relate to Moho
Examine histograms of ϕSS,S, distribution of ϕSS,S w.r.t. site class, and ϕSS,S w.r.t. station number.
Identify stations with large ϕSS,S and discuss reasons for large values.
Examine single-station σ w.r.t. magnitude-distance bins. Find that it is generally higher for 0–40km.
Examine influence of number of records per station on mean ϕSS and find results are quite stable.
Find σ is higher for BIea2 compared to BIea, which relate to use of converted Mw.
Find σ for ABR is lower compared to other datasets, which relate to restriction of events from small