Publication Date:
2017-04-04
Description:
For early-warning applications in particular, the reliability and efficiency
of rapid scenario generation strongly depend on the availability of reliable
strong ground-motion prediction tools. If shake maps are used to represent
patterns of potential damage as a consequence of large earthquakes, attenuation
relations are used as a tool for predicting peak ground-motion
parameters and intensities. One of the limitations in the use of attenuation
relations is that these have only rarely been retrieved from data collected in
the same tectonic environment in which the prediction has to be performed.
As a consequence, strong ground motion can result in underestimations
or overestimations with respect to the recorded data. This also
holds for Italy, and in particular for the Southern Apennines, due to limitations
in the available databases, both in terms of distances and magnitude.
Moreover, for “real-time” early-warning applications, it is important to
have attenuation models for which the parameters can be easily upgraded
when new data are collected, whether this has to be done during the earthquake
rupture occurrence or in the post-event, when all the strong motion
waveforms are available.
Here we present a strong-motion attenuation relation for early-warning
applications in the Campania region (Southern Apennines), Italy. The
model has a classical analytical formulation, and its coefficients were retrieved
from a synthetic strong-motion database created by using a stochastic
approach. The input parameters for the simulation technique were obtained through the spectral analysis of waveforms of earthquakes recorded
by the Istituto Nazionale di Geofisica e Vulcanologia (INGV) network
for a magnitude range Md (1.5,5.0) in the last fifteen years, and they
have been extrapolated to cover a larger range.
To validate the inferred relation, comparisons with two existing attenuation
relations are presented. The results show that the calibration of the attenuation
parameters, i.e., geometric spreading, quality factor Q, static
stress drop values along with their uncertainties, are the main concern.
Description:
Published
Description:
133-152
Description:
4.1. Metodologie sismologiche per l'ingegneria sismica
Description:
reserved
Keywords:
A Strong Motion
;
Earlywarning
;
04. Solid Earth::04.06. Seismology::04.06.03. Earthquake source and dynamics
;
04. Solid Earth::04.06. Seismology::04.06.04. Ground motion
;
04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
book chapter
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