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An Automatic Kurtosis-Based P- and S-Phase Picker Designed for Local Seismic Networks

2013; Seismological Society of America; Volume: 104; Issue: 1 Linguagem: Inglês

10.1785/0120120347

1943-3573

C. Baillard, Wayne C. Crawford, Valérie Ballu, Clément Hibert, A. Mangeney,

Seismic Waves and Analysis

Research Article| November 19, 2013 An Automatic Kurtosis‐Based P‐ and S‐Phase Picker Designed for Local Seismic Networks Christian Baillard; Christian Baillard aUniversité Paris Diderot–PRES Sorbonne Paris Cité, Institut de Physique du Globe de Paris, UMR CNRS 7154, 1 rue Jussieu, 75238 Paris, Francebaillard@ipgp.frcrawford@ipgp.frhibert@ipgp.frmangeney@ipgp.fr Search for other works by this author on: GSW Google Scholar Wayne C. Crawford; Wayne C. Crawford aUniversité Paris Diderot–PRES Sorbonne Paris Cité, Institut de Physique du Globe de Paris, UMR CNRS 7154, 1 rue Jussieu, 75238 Paris, Francebaillard@ipgp.frcrawford@ipgp.frhibert@ipgp.frmangeney@ipgp.fr Search for other works by this author on: GSW Google Scholar Valérie Ballu; Valérie Ballu bUniversité de La Rochelle, Littoral, Environnement et Sociétés (LIENSs), UMR CNRS 7266, 2 rue Olympe de Gouges, 17000 La Rochelle, Francevalerie.ballu@univ-lr.fr Search for other works by this author on: GSW Google Scholar Clément Hibert; Clément Hibert aUniversité Paris Diderot–PRES Sorbonne Paris Cité, Institut de Physique du Globe de Paris, UMR CNRS 7154, 1 rue Jussieu, 75238 Paris, Francebaillard@ipgp.frcrawford@ipgp.frhibert@ipgp.frmangeney@ipgp.fr Search for other works by this author on: GSW Google Scholar Anne Mangeney Anne Mangeney aUniversité Paris Diderot–PRES Sorbonne Paris Cité, Institut de Physique du Globe de Paris, UMR CNRS 7154, 1 rue Jussieu, 75238 Paris, Francebaillard@ipgp.frcrawford@ipgp.frhibert@ipgp.frmangeney@ipgp.fr Search for other works by this author on: GSW Google Scholar Author and Article Information Christian Baillard aUniversité Paris Diderot–PRES Sorbonne Paris Cité, Institut de Physique du Globe de Paris, UMR CNRS 7154, 1 rue Jussieu, 75238 Paris, Francebaillard@ipgp.frcrawford@ipgp.frhibert@ipgp.frmangeney@ipgp.fr Wayne C. Crawford aUniversité Paris Diderot–PRES Sorbonne Paris Cité, Institut de Physique du Globe de Paris, UMR CNRS 7154, 1 rue Jussieu, 75238 Paris, Francebaillard@ipgp.frcrawford@ipgp.frhibert@ipgp.frmangeney@ipgp.fr Valérie Ballu bUniversité de La Rochelle, Littoral, Environnement et Sociétés (LIENSs), UMR CNRS 7266, 2 rue Olympe de Gouges, 17000 La Rochelle, Francevalerie.ballu@univ-lr.fr Clément Hibert aUniversité Paris Diderot–PRES Sorbonne Paris Cité, Institut de Physique du Globe de Paris, UMR CNRS 7154, 1 rue Jussieu, 75238 Paris, Francebaillard@ipgp.frcrawford@ipgp.frhibert@ipgp.frmangeney@ipgp.fr Anne Mangeney aUniversité Paris Diderot–PRES Sorbonne Paris Cité, Institut de Physique du Globe de Paris, UMR CNRS 7154, 1 rue Jussieu, 75238 Paris, Francebaillard@ipgp.frcrawford@ipgp.frhibert@ipgp.frmangeney@ipgp.fr Publisher: Seismological Society of America First Online: 14 Jul 2017 Online ISSN: 1943-3573 Print ISSN: 0037-1106 Bulletin of the Seismological Society of America (2014) 104 (1): 394–409. https://doi.org/10.1785/0120120347 Article history First Online: 14 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Christian Baillard, Wayne C. Crawford, Valérie Ballu, Clément Hibert, Anne Mangeney; An Automatic Kurtosis‐Based P‐ and S‐Phase Picker Designed for Local Seismic Networks. Bulletin of the Seismological Society of America 2013;; 104 (1): 394–409. doi: https://doi.org/10.1785/0120120347 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyBulletin of the Seismological Society of America Search Advanced Search Abstract We present an automatic P‐ and S‐wave onset‐picking algorithm, using kurtosis‐derived characteristic functions (CF) and eigenvalue decompositions on three‐component seismic data. We modified the kurtosis CF (Saragiotis et al., 2002) to improve pick precision by computing the CF over several frequency bandwidths, window sizes, and smoothing parameters. Once phases are picked, our algorithm determines the onset type (P or S) using polarization parameters, removes bad picks using a clustering procedure and the signal‐to‐noise ratio (SNR) and assigns a pick quality index based on the SNR.We tested our algorithm on data from two different networks: (1) a 30‐station, 100×100 km array of mostly onland wideband seismometers in a subduction context and (2) a four‐station, 7×4 km array of ocean‐bottom seismometers over a midocean ridge volcano. We compared picks from the automatic algorithm with manual and short‐term average/long‐term average (STA/LTA)‐based automatic picks on subsets of each dataset. For the larger array, the automatic algorithm resulted in more locations than manual picking (133 versus 93 locations out of 163 total events detected), picking as many P onsets and twice as many S onsets as with manual picking or the STA/LTA algorithm. The difference between manual and automatic pick times for P‐wave onsets was 0.01±0.08 s overall, compared with −0.18±0.19 s using the STA/LTA picker. For S‐wave onsets, the difference was −0.09±0.23 s, which is comparable to the STA/LTA picker, but our picker provided nearly twice as many picks. The pick accuracy was constant over the range of event magnitudes (0.7–3.7 Ml). For the smaller array, the time difference between our algorithm and manual picks is 0.04±0.17 s for P waves and 0.07±0.08 s for S waves. Misfit between the automatic and manual picks is significantly lower using our procedure than using the STA/LTA algorithm. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.