Publication Date:
2017-04-04
Description:
In this paper, waveform similarity analysis is adapted and implemented in a declustering
procedure to identify foreshocks and aftershocks, to obtain instrumental catalogues that are
cleaned of dependent events and to perform an independent check of the results of traditional
declustering techniques.
Unlike other traditional declustering methods (i.e. windowing techniques), the application
of cross-correlation analysis allows definition of groups of dependent events (multiplets) characterized
by similar location, fault mechanism and propagation pattern. In this way the chain of
intervening related events is led by the seismogenetic features of earthquakes. Furthermore, a
time-selection criterion is used to define time-independent seismic episodes eventually joined
(on the basis of waveform similarity) into a single multiplet. The results, obtained applying
our procedure to a test data set, show that the declustered catalogue is drawn by the Poisson
distribution with a degree of confidence higher than using the Gardner and Knopoff method.
The declustered catalogues, applying these two approaches, are similar with respect to the
frequency–magnitude distribution and the number of earthquakes.
Nevertheless, the application of our approach leads to declustered catalogues properly related
to the seismotectonic background and the reology of the investigated area and the success of
the procedure is ensured by the independence of the results on estimated location errors of the
events collected in the raw catalogue.
Description:
Published
Description:
100-108
Description:
1.1. TTC - Monitoraggio sismico del territorio nazionale
Description:
JCR Journal
Description:
partially_open
Keywords:
Declustering
;
waveform analysis
;
04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
article
