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Journal Article

A new picking algorithm based on the variance piecewise constant models

Nicoletta D’Angelo; Andrea Di Benedetto; Giada Adelfio; Antonino D’Alessandro; Marcello Chiodi
Stochastic Environmental Research and Risk Assessment · Vol. 36, Issue 8 · pp. 2101-2113 · 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.

Bibliographic Information

JournalStochastic Environmental Research and Risk Assessment
PublisherSpringer
Publication Date2022-08-01
Publication Year2022
Volume36
Issue8
Pages2101-2113
Document TypeJournal Article
Print ISSN1436-3240
eISSN1436-3259
DOI10.1007/s00477-022-02218-x

Access Information

NARA Access Coverage1987-01-01~Current
Journal Homepagehttps://www.springer.com/journal/477
Publisher PageOpen Publisher Page
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