Horizontal to Vertical Spectral Ratio (HVSR) Analysis of the Passive Seismic Data on Alluvial Lithology: An Example from Bandung Basin Rim
DOI:
10.29303/jppipa.v9i1.2962Published:
2023-01-31Issue:
Vol. 9 No. 1 (2023): JanuaryKeywords:
HVSR, Microtremor, Signal processingResearch Articles
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Abstract
Bandung basin is surrounded by active volcanoes at the center of Western Java region. Soil type of this area consists mostly of volcanic alluvial, formed by the past volcanic activities. At this location, we performed passive seismic surveys to reveal the sedimentary characteristics using a triaxial seismometer, to study the properties which have potential implications on environmental aspects, such as natural disaster mitigation and the city planning. In this work we reported the analysis of three component vibration signals by means of the Horizontal to Vertical Spectral Ratio (HVSR) calculation to identify the sediment thickness through the dominant frequency of the earth vibration. The method signal processing successfully revealed the amplification factor of the area, which is very important to determine the potential ground motion induced disasters. The data was collected using a laboratory developed seismic logging device with sensitivity of 0.28 ± 5% V⋅s/cm. The signal preconditioning was carried out to shape the acquired signals with high noise level, prior to the HVSR calculation. From the measurements and computation, we obtained the thickness variation at the chosen survey area of around 32 to 64 meters, corresponding to the measured dominant frequency of around 2.5 to 5.0 Hz. The results agree very well with the reference sediment thickness measured by the microtremor surveys. The vibration frequencies are also consistent with the range suggested by the literature
References
Bao, F., Li, Z., Tian, B., Wang, L., & Tu, G. (2019). Sediment thickness variations of the Tangshan fault zone in North China from a dense seismic array and microtremor survey. Journal of Asian Earth Sciences, 185, 104045. https://doi.org/10.1016/j.jseaes.2019.104045
Bindi, D., Luzi, L., Parolai, S., Giacomo, D. Di, & Monachesi, G. (2011). Site effects observed in alluvial basins: The case of Norcia (Central Italy). Bulletin of Earthquake Engineering, 9(6), 1941–1959. https://doi.org/10.1007/s10518-011-9273-3
Bonnefoy-Claudet, S., Baize, S., Bonilla, L. F., Berge-Thierry, C., Pasten, C., Campos, J., Volant, P., & Verdugo, R. (2009). Site effect evaluation in the basin of Santiago de Chile using ambient noise measurements. Geophysical Journal International, 176(3), 925–937. https://doi.org/10.1111/j.1365-246X.2008.04020.x
Bowden, D. C., & Tsai, V. C. (2017). Earthquake ground motion amplification for surface waves. Geophysical Research Letters, 44(1), 121–127. https://doi.org/10.1002/2016GL071885
Chemsitra, P., Utama, W., & Syaeful, A. (2018). Identifikasi litologi lapisan sedimen pada daerah karst Pacitan menggunakan metode mikrotremor HVSR. Jurnal Teknik ITS, 7(1), C77–C80. https://doi.org/10.12962/j23373539.v7i1.29370
Di Giacomo, D., Gallipoli, M. R., Mucciarelli, M., Parolai, S., & Richwalski, S. M. (2005). Analysis and modeling of HVSR in the presence of a velocity inversion: The case of Venosa, Italy. Bulletin of the Seismological Society of America, 95(6), 2364–2372. https://doi.org/10.1785/0120040242
Dvorkin, J. P., & Mavko, G. (2006). Modeling attenuation in reservoir and nonreservoir rock. Leading Edge (Tulsa, OK), 25(2), 194–197. https://doi.org/10.1190/1.2172312
Gosar, A. (2007). Microtremor HVSR study for assessing site effects in the Bovec basin (NW Slovenia) related to 1998 Mw5.6 and 2004 Mw5.2 earthquakes. Engineering Geology, 91(2–4), 178–193. https://doi.org/10.1016/j.enggeo.2007.01.008
Gosar, A. (2017). Study on the applicability of the microtremor HVSR method to support seismic microzonation in the town of Idrija (W Slovenia). Natural Hazards and Earth System Sciences, 17(6), 925–937. https://doi.org/10.5194/nhess-17-925-2017
Herak, M. (2008). ModelHVSR-A Matlab® tool to model horizontal-to-vertical spectral ratio of ambient noise. Computers and Geosciences, 34(11), 1514–1526. https://doi.org/10.1016/j.cageo.2007.07.009
Imposa, S., Lombardo, G., Panzera, F., & Grassi, S. (2018). Ambient vibrations measurements and 1D site response modelling as a tool for soil and building properties investigation. Geosciences (Switzerland), 8(3), 87. https://doi.org/10.3390/geosciences8030087
Kagawa, T., Noguchi, T., Yoshida, S., & Yamamoto, S. (2017). Effect of the surface geology on strong ground motions due to the 2016 Central Tottori Earthquake, Japan. Earth, Planets and Space, 69(1), 1–8. https://doi.org/10.1186/s40623-017-0689-0
Kaiser, A., Massey, C., & Holden, C. (2014). Site amplification, polarity and topographic effects in the Port Hills during the Canterbury earthquake sequence. AGU Fall Meeting Abstracts, 121, 1–33. https://ui.adsabs.harvard.edu/abs/2014AGUFM.S12A..06K/abstract
Kanai, K. (1983). Engineering seismology. University of Tokyo Press.
Landés, M., Hubans, F., Shapiro, N. M., Paul, A., & Campillo, M. (2010). Origin of deep ocean microseisms by using teleseismic body waves. Journal of Geophysical Research: Solid Earth, 115(5). https://doi.org/10.1029/2009JB006918
Marjiyono. (2010). Estimasi Karakteristik Dinamika Tanah Dari Data Mikrotremor Wilayah Bandung. Thesis ITB.
Mirzaoglu, M., & Dýkmen, Ü. (2003). Application of microtremors to seismic microzoning procedure. Journal of the Balkan Geophysical Society, 6(3), 143–156. https://www.balkangeophysoc.gr/online-journal/2003_V6/aug2003/Mirzaoglu_final.PDF
Nakamura, Y. (1989). Method for dynamic characteristics estimation of subsurface using microtremor on the ground surface. Quarterly Report of RTRI (Railway Technical Research Institute) (Japan), 30(1), 25–33. https://trid.trb.org/view/294184
Nogoshi, M., & Igarashi, T. (1971). On the Amplitude Characteristics of Microtremor (Part 2). Zisin (Journal of the Seismological Society of Japan. 2nd Ser.), 24(1), 26–40. https://doi.org/10.4294/zisin1948.24.1_26
Rezaei, S., & Choobbasti, A. J. (2017). Application of the microtremor measurements to a site effect study. Earthquake Science, 30(3), 157–164. https://doi.org/10.1007/s11589-017-0187-2
Shi, Q., Wu, N., Ma, X., & Wang, H. (2018). Frequency-Domain Joint Channel Estimation and Decoding for Faster-Than-Nyquist Signaling. IEEE Transactions on Communications, 66(2), 781–795. https://doi.org/10.1109/TCOMM.2017.2768063
Stanko, D., Markušić, S., Strelec, S., & Gazdek, M. (2017). HVSR analysis of seismic site effects and soil-structure resonance in Varaždin city (North Croatia). Soil Dynamics and Earthquake Engineering, 92, 666–677. https://doi.org/10.1016/j.soildyn.2016.10.022
Suhendra, Zul Bahrum, C., & Sugianto, N. (2018). Geological condition at landslides potential area based on microtremor survey. ARPN Journal of Engineering and Applied Sciences, 13(8), 3007–3013. https://www.arpnjournals.org/jeas/research_papers/rp_2018/jeas_0418_7026.pdf
Telford, W. ., Geldart, L. ., & Sheriff, R. . (1990). Applied Geophysics. In Cambridge university press. https://doi.org/10.2307/1784540
Telford, W. M. (2021). Atlas Karakteristik Fisis Sedimen Permukaan Cekungan Bandung (1st ed.). Pusat Survei Geologi (PSG).
Author Biographies
Evi Fazriati, Department of Geophysics, Universitas Padjadjaran, Sumedang Indonesia
Muhammad Randy Azhari, Postgraduate Physics Study Program, Universitas Padjadjaran, Sumedang, Indonesia
Abdul Hakam, Department of Civil Engineering, Universitas Andalas, Indonesia
Widya Utama, Department of Geophysics Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
Yudi Rosandi, Department of Geophysics, Universitas Padjadjaran, Sumedang Indonesia
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Copyright (c) 2023 Evi Fazriati, Muhammad Randy Azhari, Abdul Hakam, Widya Utama, Yudi Rosandi
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