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Combination of Hi-net and KiK-net data for deconvolution interferometry

Nori Nakata
Combination of Hi-net and KiK-net data for deconvolution interferometry
Bulletin of the Seismological Society of America (December 2013) 103 (6): 3073-3082

Abstract

Application of deconvolution interferometry to wavefields observed by KiK-net, a strong-motion recording network in Japan, is useful for estimating wave velocities and S-wave splitting in the near surface. At the location of the borehole accelerometer of each KiK-net station, a velocity sensor is also installed as a part of a high-sensitivity seismograph network (Hi-net). I present a technique that uses both Hi-net and KiK-net records for computing deconvolution interferometry. The deconvolved waveform obtained from the combination of Hi-net and KiK-net data is similar to the waveform computed from KiK-net data only. This similarity in the waveforms indicates that one can use Hi-net wavefields for deconvolution interferometry. Because Hi-net records have a high signal-to-noise ratio (SNR) and high dynamic resolution, SNR and quality of amplitude and phase of deconvolved waveforms can be improved with Hi-net data. These advantages are especially important for short-time moving-window seismic interferometry and deconvolution interferometry using coda waves.


ISSN: 0037-1106
EISSN: 1943-3573
Coden: BSSAAP
Serial Title: Bulletin of the Seismological Society of America
Serial Volume: 103
Serial Issue: 6
Title: Combination of Hi-net and KiK-net data for deconvolution interferometry
Author(s): Nakata, Nori
Affiliation: Stanford University, Department of Geophysics, Stanford, CA, United States
Pages: 3073-3082
Published: 201312
Text Language: English
Publisher: Seismological Society of America, Berkeley, CA, United States
References: 23
Accession Number: 2014-001468
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Annotation: Includes appendices
Illustration Description: illus. incl. 1 table
N30°00'00" - N45°00'00", E129°00'00" - E147°00'00"
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Abstract, Copyright, Seismological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 201402
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