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

Authors :
D'Angelo, Nicoletta
Di Benedetto, Andrea
Adelfio, Giada
D'Alessandro, Antonino
Chiodi, Marcello
Source :
Stochastic Environmental Research & Risk Assessment. Aug2022, Vol. 36 Issue 8, p2101-2113. 13p.
Publication Year :
2022

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14363240
Volume :
36
Issue :
8
Database :
Academic Search Index
Journal :
Stochastic Environmental Research & Risk Assessment
Publication Type :
Academic Journal
Accession number :
159002876
Full Text :
https://doi.org/10.1007/s00477-022-02218-x