Abstract
AbstractTo complement the new European Strong-Motion dataset and the ongoing efforts to update the seismic hazard and risk assessment of Europe and Mediterranean regions, we propose a new regionally adaptable ground-motion model (GMM). We present here the GMM capable of predicting the 5% damped RotD50 of PGA, PGV, and $$ SA\left( {T = 0.01 - 8\,{\text{s}}} \right) $$
S
A
T
=
0.01
-
8
s
from shallow crustal earthquakes of $$ 3 \le M_{W} \le 7.4 $$
3
≤
M
W
≤
7.4
occurring $$ 0 < R_{JB} \le 545\,{\text{km}} $$
0
<
R
JB
≤
545
km
away from sites with $$ 90 \le V_{s30} \le 3000\,{\text{m}}\,{\text{s}}^{ - 1} $$
90
≤
V
s
30
≤
3000
m
s
-
1
or $$ 0.001 \le slope \le 1\,{\text{m}}\,{\text{m}}^{ - 1} $$
0.001
≤
s
l
o
p
e
≤
1
m
m
-
1
. The extended applicability derived from thousands of new recordings, however, comes with an apparent increase in the aleatory variability (σ). Firstly, anticipating contaminations and peculiarities in the dataset, we employed robust mixed-effect regressions to down weigh only, and not eliminate entirely, the influence of outliers on the GMM median and σ. Secondly, we regionalised the attenuating path and localised the earthquake sources using the most recent models, to quantify region-specific anelastic attenuation and locality-specific earthquake characteristics as random-effects, respectively. Thirdly, using the mixed-effect variance–covariance structure, the GMM can be adapted to new regions, localities, and sites with specific datasets. Consequently, the σ is curtailed to a 7% increase at T < 0.3 s, and a substantial 15% decrease at T ≥ 0.3 s, compared to the RESORCE based partially non-ergodic GMM. We provide the 46 attenuating region-, 56 earthquake localities-, and 1829 site-specific adjustments, demonstrate their usage, and present their robustness through a 10-fold cross-validation exercise.
Funder
SIGMA2 consortium
H2020 Research Infrastructures
Publisher
Springer Science and Business Media LLC
Subject
Geophysics,Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering
Cited by
96 articles.
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