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Spatial autocorrelation method using AR model; Kukan jiko sokanho eno AR model no tekiyo

Abstract

Examination was made about the applicability of the AR model to the spatial autocorrelation (SAC) method, which analyzes the surface wave phase velocity in a microtremor, for the estimation of the underground structure. In this examination, microtremor data recorded in Morioka City, Iwate Prefecture, was used. In the SAC method, a spatial autocorrelation function with the frequency as a variable is determined from microtremor data observed by circular arrays. Then, the Bessel function is adapted to the spatial autocorrelation coefficient with the distance between seismographs as a variable for the determination of the phase velocity. The result of the AR model application in this study and the results of the conventional BPF and FFT method were compared. It was then found that the phase velocities obtained by the BPF and FFT methods were more dispersed than the same obtained by the AR model. The dispersion in the BPF method is attributed to the bandwidth used in the band-pass filter and, in the FFT method, to the impact of the bandwidth on the smoothing of the cross spectrum. 2 refs., 7 figs.
Authors:
Yamamoto, H; Obuchi, T; Saito, T [1] 
  1. Iwate University, Iwate (Japan). Faculty of Engineering
Publication Date:
May 01, 1996
Product Type:
Conference
Report Number:
CONF-9605233-
Reference Number:
SCA: 580000; 440700; PA: NEDO-96:913469; EDB-96:173390; SN: 96001687076
Resource Relation:
Conference: 94. SEGJ (The Society of Exploration Geophysicists of Japan) Conference, Butsuri tansa gakkai dai 94 kai (1996 nendo shunki) gakujutsu koenkai, Tokyo (Japan), 15-17 May 1996; Other Information: PBD: May 1996; Related Information: Is Part Of Proceedings of the 94th SEGJ (The Society of Exploration Geophysicists of Japan) Conference; PB: 475 p.; Butsuri tansa gakkai dai 94 kai (1996 nendo shunki) gakujutsu koenkai koen ronbunshu
Subject:
58 GEOSCIENCES; 44 INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; SEISMIC SURVEYS; CORRELATION FUNCTIONS; SEISMIC ARRAYS; SEISMIC DETECTORS; RAYLEIGH WAVES; PHASE VELOCITY; FLUCTUATIONS; FREQUENCY ANALYSIS; BESSEL FUNCTIONS
OSTI ID:
395506
Research Organizations:
Society of Exploration Geophysicists of Japan, Tokyo (Japan)
Country of Origin:
Japan
Language:
Japanese
Other Identifying Numbers:
Other: ON: DE97709027; TRN: 96:913469
Availability:
Available from The Society of Exploration Geophysicists of Japan, 2-18, Nakamagome 2-chome, Ota-ku, Tokyo, Japan; OSTI as DE97709027
Submitting Site:
NEDO
Size:
pp. 173-177
Announcement Date:

Citation Formats

Yamamoto, H, Obuchi, T, and Saito, T. Spatial autocorrelation method using AR model; Kukan jiko sokanho eno AR model no tekiyo. Japan: N. p., 1996. Web.
Yamamoto, H, Obuchi, T, & Saito, T. Spatial autocorrelation method using AR model; Kukan jiko sokanho eno AR model no tekiyo. Japan.
Yamamoto, H, Obuchi, T, and Saito, T. 1996. "Spatial autocorrelation method using AR model; Kukan jiko sokanho eno AR model no tekiyo." Japan.
@misc{etde_395506,
title = {Spatial autocorrelation method using AR model; Kukan jiko sokanho eno AR model no tekiyo}
author = {Yamamoto, H, Obuchi, T, and Saito, T}
abstractNote = {Examination was made about the applicability of the AR model to the spatial autocorrelation (SAC) method, which analyzes the surface wave phase velocity in a microtremor, for the estimation of the underground structure. In this examination, microtremor data recorded in Morioka City, Iwate Prefecture, was used. In the SAC method, a spatial autocorrelation function with the frequency as a variable is determined from microtremor data observed by circular arrays. Then, the Bessel function is adapted to the spatial autocorrelation coefficient with the distance between seismographs as a variable for the determination of the phase velocity. The result of the AR model application in this study and the results of the conventional BPF and FFT method were compared. It was then found that the phase velocities obtained by the BPF and FFT methods were more dispersed than the same obtained by the AR model. The dispersion in the BPF method is attributed to the bandwidth used in the band-pass filter and, in the FFT method, to the impact of the bandwidth on the smoothing of the cross spectrum. 2 refs., 7 figs.}
place = {Japan}
year = {1996}
month = {May}
}