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  5. A new picking algorithm based on the variance piecewise constant models
 
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A new picking algorithm based on the variance piecewise constant models

Author(s)
D’Angelo, Nicoletta  
Di Benedetto, Andrea  
Adelfio, Giada  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Palermo, Palermo, Italia  
D'Alessandro, Antonino  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Palermo, Palermo, Italia  
Chiodi, Marcello  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Palermo, Palermo, Italia  
Language
English
Obiettivo Specifico
8T. Sismologia in tempo reale e Early Warning Sismico e da Tsunami
Status
Published
JCR Journal
JCR Journal
Journal
Stochastic Environmental Research and Risk Assessment  
Issue/vol(year)
/36 (2022)
ISSN
1436-3240
Publisher
Springer
Pages (printed)
2101-2113
Date Issued
2022
DOI
10.1007/s00477-022-02218-x
URI
https://www.earth-prints.org/handle/2122/16238
Abstract
In this paper, we propose a novel picking algorithm for the automatic P- and S-waves onset time determination. Our algorithm is based on the variance piecewise constant models of the earthquake waveforms. The effectiveness and robustness of our picking algorithm are tested both on synthetic seismograms and real data. We simulate seismic events with different magnitudes (between 2 and 5) recorded at different epicentral distances (between 10 and 250 km). For the application to real data, we analyse waveforms from the seismic sequence of L’Aquila (Italy), in 2009. The obtained results are compared with those obtained by the application of the classic STA/LTA picking algorithm. Although the two algorithms lead to similar results in the simulated scenarios, the proposed algorithm results in greater flexibility and automation capacity, as shown in the real data analysis. Indeed, our proposed algorithm does not require testing and optimization phases, resulting potentially very useful in earthquakes routine analysis for novel seismic networks or in regions whose earthquakes characteristics are unknown.
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