Microtremor exploration for shallow S-wave velocity profiles at stations in local strong motion network in Bursa, Yalova, and Kocaeli in north-western Turkey

2017 ◽  
Vol 48 (3) ◽  
pp. 255-263 ◽  
Author(s):  
Özgür Tuna Özmen ◽  
Hiroaki Yamanaka ◽  
Kosuke Chimoto ◽  
Ulubey Çeken ◽  
Mehmet Akif Alkan ◽  
...  
Keyword(s):  
Wave Velocity ◽  
Strong Motion ◽  
Velocity Profiles ◽  
S Wave ◽  
Western Turkey ◽  
Strong Motion Network ◽  
North Western

Exploration of S-wave velocity profiles at strong motion stations in Eskisehir, Turkey, using microtremor phase velocity and S-wave amplification

2018 ◽  
Vol 22 (5) ◽  
pp. 1127-1137 ◽  
Author(s):  
Hiroaki Yamanaka ◽  
Ögur Tuna Özmen ◽  
Kosuke Chimoto ◽  
Mehmet Akif Alkan ◽  
Muammer Tün ◽  
...  
Keyword(s):  
Phase Velocity ◽  
Wave Velocity ◽  
Strong Motion ◽  
Velocity Profiles ◽  
S Wave ◽  
Wave Amplification

Estimation of site amplification and S-wave velocity profiles in metropolitan Manila, the Philippines, from earthquake ground motion records

2011 ◽  
Vol 42 (1) ◽  
pp. 69-79 ◽  
Author(s):  
Hiroaki Yamanaka ◽  
Kaoru Ohtawara ◽  
Rhommel Grutas ◽  
Robert B. Tiglao ◽  
Melchor Lasala ◽  
...  
Keyword(s):  
Ground Motion ◽  
Wave Velocity ◽  
Site Amplification ◽  
Velocity Profiles ◽  
The Philippines ◽  
Earthquake Ground Motion ◽  
S Wave ◽  
Ground Motion Records

Tuning S-Wave Velocity Structure of Deep Sedimentary Layers in the Shimousa Region of the Kanto Basin, Japan, Using Autocorrelation of Strong-Motion Records

2020 ◽  
Vol 110 (6) ◽  
pp. 2882-2891
Author(s):  
Kosuke Chimoto ◽  
Hiroaki Yamanaka
Keyword(s):  
Wave Velocity ◽  
Velocity Structure ◽  
Strong Motion ◽  
S Wave ◽  
Reflected Waves ◽  
Arrival Times ◽  
Strong Motion Records ◽  
Kanto Basin ◽  
Determination Of Parameters

ABSTRACT The autocorrelation of ambient noise is used to capture reflected waves for crustal and sedimentary structures. We applied autocorrelation to strong-motion records to capture the reflected waves from sedimentary layers and used them for tuning the S-wave velocity structure of these layers. Because a sedimentary-layered structure is complicated and generates many reflected waves, it is important to identify the boundary layer from which the waves reflected. We used spectral whitening during autocorrelation analysis to capture the reflected waves from the seismic bedrock with an appropriate smoothing band, which controls the wave arrival from the desired layer boundary. The effect of whitening was confirmed by the undulation frequency observed in the transfer function of the sedimentary layers. After careful determination of parameters for spectral whitening, we applied data processing to the strong-motion records observed at the stations in the Shimousa region of the Kanto Basin, Japan, to estimate the arrival times of the reflected waves. The arrival times of the reflected waves were found to be fast in the northern part of the Shimousa region and slow in the western and southern parts. These arrival times are consistent with those obtained using existing models. Because we observed a slight difference in the arrival times, the autocorrelation function at each station was used for tuning the S-wave velocity structure model of the sedimentary layers using the inversion technique. The tuned models perfectly match the autocorrelation functions in terms of the arrival time of the reflected waves from the seismic bedrock.

Estimation of shallow S-wave velocity structure using microtremor exploration at strong motion stations observed the 2014 Aegean Sea earthquake

2019 ◽  
Author(s):  
Kosuke Chimoto ◽  
Hiroaki Yamanaka ◽  
Seckin Ozgur Citak ◽  
Ozlem Karagoz ◽  
Oguz Ozel ◽  
...  
Keyword(s):  
Wave Velocity ◽  
Velocity Structure ◽  
Strong Motion ◽  
Aegean Sea ◽  
S Wave

scholarly journals Shear-Wave Velocity Characterization of the USGS Hawaiian Strong-Motion Network on the Island of Hawaii and Development of an NEHRP Site-Class Map

2011 ◽  
Vol 101 (5) ◽  
pp. 2252-2269 ◽  
Author(s):  
I. G. Wong ◽  
K. H. Stokoe ◽  
B. R. Cox ◽  
J. Yuan ◽  
K. L. Knudsen ◽  
...  
Keyword(s):  
Shear Wave ◽  
Wave Velocity ◽  
Shear Wave Velocity ◽  
Strong Motion ◽  
Site Class ◽  
Strong Motion Network

S-wave Velocity Profiles for Earthquake Engineering Purposes for the Cologne Area (Germany)

2006 ◽  
Vol 4 (1) ◽  
pp. 65-94 ◽  
Author(s):  
S. Parolai ◽  
S. M. Richwalski ◽  
C. Milkereit ◽  
D. Fäh
Keyword(s):  
Wave Velocity ◽  
Earthquake Engineering ◽  
Velocity Profiles ◽  
S Wave

scholarly journals Estimation of S-Wave Velocity Profiles at Lima City, Peru Using Microtremor Arrays

2014 ◽  
Vol 9 (6) ◽  
pp. 931-938 ◽  
Author(s):  
Selene Quispe ◽  
◽  
Kosuke Chimoto ◽  
Hiroaki Yamanaka ◽  
Hernando Tavera ◽  
...  
Keyword(s):  
Wave Velocity ◽  
Velocity Structure ◽  
Site Effect ◽  
Site Amplification ◽  
Velocity Profiles ◽  
S Wave ◽  
Phase Velocity Dispersion ◽  
Seismic Recording ◽  
Phase Velocity Dispersion Curve ◽  
Alluvial Material

Microtremor exploration was performed around seismic recording stations at five sites in Lima city, Peru in order to know the site amplification at these sites. The Spatial Autocorrelation (SPAC) method was applied to determine the observed phase velocity dispersion curve, which was subsequently inverted in order to estimate the 1-D S-wave velocity structure. From these results, the theoretical amplification factor was calculated to evaluate the site effect at each site. S-wave velocity profiles at alluvial gravel sites have S-wave velocities ranging from ∼500 to ∼1500 m/s which gradually increase with depth, while Vs profiles at sites located on fine alluvial material such as sand and silt have Swave velocities that vary between ∼200 and ∼500 m/s. The site responses of all Vs profiles show relatively high amplification levels at frequencies larger than 3 Hz. The average transfer function was calculated to make a comparison with values within the existing amplification map of Lima city. These calculations agreed with the proposed site amplification ranges.

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