Jurnal
SINTA 1
Shallow S-wave Velocity Profile Estimation using Surface Velocity and Microtremor HVSR with a Linear Velocity Increase Approach
Journal of Mathematical and Fundamental Sciences · Vol. 54 No. 3 (2023) · hlm. 330–358
ISSN 2338-5510, 2337-5760
Terbit 2023-07-26
Penerbit Directorate for Research and Innovation (DRI) ITB
Bahasa eng
Abstrak
We propose a simple method for 1D S-wave velocity (Vs) profile estimation using a measured surface S-wave velocity (V1) and peak frequency of the observed microtremor horizontal-to-vertical spectral ratio (HVSR). In this method, the S-wave velocity profile is presented as linear velocity increase with depth in sediments over a bedrock layer that has a given constant S-wave velocity. Thus, the profile can be parameterized with the measured surface S-wave velocity and the velocity gradient. The gradient can be estimated based on the agreement of the peak frequencies of the observed microtremor HVSR and the theoretical ellipticity of the fundamental mode of the Rayleigh wave. We examined the applicability of the proposed method using numerical tests as well as application to actual data at five sites in the Bandung Basin, Indonesia, where observed Rayleigh wave phase velocities from microtremor array surveys were available. The applicability was confirmed in numerical tests using sample models of soil profiles in the basin. Actual application indicated the appropriateness of the estimated S-wave velocity profiles due to the similarity of their theoretical Rayleigh wave phase velocities with the observed Rayleigh wave phase velocities. Since the proposed method needs prior confirmation of the linear increase of the S-wave velocity, it is suitable for use in spatial interpolation of shallow S-wave velocity profiles with simple data acquisition.
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Bandung Institute of Technology Hasanuddin University Tokyo Institute of Technology Meteorological, Climatological, And Geophysical Agency Kagoshima University Indonesian Institute of Sciences
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Sumber metadata: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jmfs/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc)
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<dc:title xml:lang="en-US">Shallow S-wave Velocity Profile Estimation using Surface Velocity and Microtremor HVSR with a Linear Velocity Increase Approach</dc:title>
<dc:creator>Pramatadie, Andi Muhamad</dc:creator>
<dc:creator>Yamanaka, Hiroaki</dc:creator>
<dc:creator>Afnimar, Afnimar</dc:creator>
<dc:subject xml:lang="en-US">microtremors</dc:subject>
<dc:subject xml:lang="en-US">horizontal-to-vertical spectral ratio</dc:subject>
<dc:subject xml:lang="en-US">Rayleigh wave</dc:subject>
<dc:subject xml:lang="en-US">velocity-depth function</dc:subject>
<dc:subject xml:lang="en-US">soil amplification</dc:subject>
<dc:subject xml:lang="en-US">Geophysics</dc:subject>
<dc:description xml:lang="en-US">We propose a simple method for 1D S-wave velocity (Vs) profile estimation using a measured surface S-wave velocity (V1) and peak frequency of the observed microtremor horizontal-to-vertical spectral ratio (HVSR). In this method, the S-wave velocity profile is presented as linear velocity increase with depth in sediments over a bedrock layer that has a given constant S-wave velocity. Thus, the profile can be parameterized with the measured surface S-wave velocity and the velocity gradient. The gradient can be estimated based on the agreement of the peak frequencies of the observed microtremor HVSR and the theoretical ellipticity of the fundamental mode of the Rayleigh wave. We examined the applicability of the proposed method using numerical tests as well as application to actual data at five sites in the Bandung Basin, Indonesia, where observed Rayleigh wave phase velocities from microtremor array surveys were available. The applicability was confirmed in numerical tests using sample models of soil profiles in the basin. Actual application indicated the appropriateness of the estimated S-wave velocity profiles due to the similarity of their theoretical Rayleigh wave phase velocities with the observed Rayleigh wave phase velocities. Since the proposed method needs prior confirmation of the linear increase of the S-wave velocity, it is suitable for use in spatial interpolation of shallow S-wave velocity profiles with simple data acquisition.</dc:description>
<dc:publisher xml:lang="en-US">Directorate for Research and Innovation (DRI) ITB</dc:publisher>
<dc:date>2023-07-26</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://journals.itb.ac.id/index.php/jmfs/article/view/19317</dc:identifier>
<dc:identifier>10.5614/j.math.fund.sci.2023.54.3.4</dc:identifier>
<dc:source xml:lang="en-US">Journal of Mathematical and Fundamental Sciences; Vol. 54 No. 3 (2023); 330-358</dc:source>
<dc:source>2338-5510</dc:source>
<dc:source>2337-5760</dc:source>
<dc:source>10.5614/j.math.fund.sci.2023.54.3</dc:source>
<dc:language>eng</dc:language>
<dc:relation>https://journals.itb.ac.id/index.php/jmfs/article/view/19317/6241</dc:relation>
<dc:rights xml:lang="en-US">Copyright (c) 2023 Journal of Mathematical and Fundamental Sciences</dc:rights>
</oai_dc:dc>
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APA 7
Pramatadie, A. M., Yamanaka, H., & Afnimar, A. (2023). Shallow S-wave Velocity Profile Estimation using Surface Velocity and Microtremor HVSR with a Linear Velocity Increase Approach. Journal of Mathematical and Fundamental Sciences, 54(3), 330–358. https://doi.org/10.5614/j.math.fund.sci.2023.54.3.4
Salin
IEEE
A. M. Pramatadie, H. Yamanaka, and A. Afnimar, “Shallow S-wave Velocity Profile Estimation using Surface Velocity and Microtremor HVSR with a Linear Velocity Increase Approach,” Journal of Mathematical and Fundamental Sciences, vol. 54, no. 3, pp. 330–358, 2023, doi: 10.5614/j.math.fund.sci.2023.54.3.4.
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