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The effects of component rotation on H/V spectra: a comparison of rotational and translational data

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Języki publikacji
EN
Abstrakty
EN
The presented investigation focused on site effect estimations, specifically resonance frequency and amplification. These estimations were carried out for both rotational and translational signals, using waveforms from mining-induced seismic events. Site effect parameters were calculated using the horizontal-to-vertical spectral ratio (HVSR) technique, which is commonly applied to translational records by comparing the spectral ratio between horizontal and vertical components. In this study, we also applied the horizontal-to-vertical (H/V) ratio to rotational records. However, due to the different orientations of motion propagation, we introduced the spectral H/V ratio for rotational motion as the torsion-to-rocking spectral ratio (TRSR). Furthermore, we analyzed these signals according to two approaches. First, we estimated the site effect parameters for directly registered signals, and secondly, we considered rotated components by varying the angle from 0° to 180° in 5-degree increments. Generally, the H/V curves indicated two peaks for translational motions and four peaks for rotational motions. The averaged H/V spectra and spectra obtained for different angles of component rotation showed insignificant fluctuation in amplification values for both rotational and translational motions. However, when comparing each component’s spectrum for all angles, we observed changes in the site effect parameter values for both motion types. Radar plots depicting amplification values versus rotation angles for separated components revealed characteristic fluctuations, suggesting local anisotropy. Moreover, when comparing the radar plots between rotational and translational results, it was evident that rotational resonance frequencies shifted to higher frequency values, potentially indicating shallower geological layers as their source.
Wydawca
Rocznik
Strony
145--154
Opis fizyczny
Bibliogr. 29 poz., rys., tab., wykr.
Twórcy
  • University of Silesia in Katowice, Faculty of Natural Sciences, Sosnowiec, Poland
  • University of Silesia in Katowice, Faculty of Natural Sciences, Sosnowiec, Poland
  • University of Silesia in Katowice, Faculty of Natural Sciences, Sosnowiec, Poland
Bibliografia
  • Bernauer F., Wassermann J. & Igel H., 2012. Rotational sensors – a comparison of differentsensor types. Journal of Seismology, 16(4), 595–602. https://doi.org/10.1007/ s10950-012-9286-7.
  • Buła Z. & Kotas A. (eds.), 1994. Atlas geologiczny Górnośląskiego Zagłębia Węglowego. Część III: Mapy geologicznostrukturalne [Geological atlas of the Upper Silesian Coal Basin. Part III: Structural-geological maps: 1:100 000]. Państwowy Instytut Geologiczny, Warszawa.
  • Jureczka J., Aust J., Buła Z., Dopita M. & Zdanowski A., 1995. Geological map of the Upper Silesian Coal Basin (Carboniferous subcrop) 1:200 000. Państwowy Instytut Geologiczny, Warszawa.
  • Konno K. & Ohmachi T., 1998. Ground-motion characteristics estimated from spectral ratio between horizontal and vertical components of microtremor. Bulletin of the Seismological Society of America, 88(1), 228–241. https:// doi.org/10.1785/BSSA0880010228.
  • Kozák J.T., 2006. Development of earthquake rotational effect study. [in:] Teisseyre R., Majewski E. & Takeo M. (eds.), Earthquake Source Asymmetry, Structural Media and Rotation Effects, Springer, Berlin, Heidelberg, 3–10. https://doi.org/10.1007/3-540-31337-0_1.
  • Lin C.-J., Liu C.-C. & Lee W.H.K., 2009. Recording rotational and translational ground motions of two TAIGER explosions in northeastern Taiwan on 4 March 2008. Bulletin of the Seismological Society of America, 99(2B), 1237–1250. https://doi.org/10.1785/0120080176.
  • Liu C.-C., Huang B.-S., Lee W.H.K. & Lin C.-J., 2009. Observing rotational and translational ground motions at the HGSD station in Taiwan from 2007 to 2008. Bulletin of the Seismological Society of America, 99(2B), 1228–1236. https://doi.org/10.1785/0120080156.
  • Mendecki M.J., Szczygieł J., Lizurek G. & Teper L., 2020. Mining-triggered seismicity governed by a fold hinge zone: The Upper Silesian Coal Basin, Poland. Engineering Geology, 274, 105728. https://doi.org/10.1016/j.enggeo. 2020.105728.
  • Mutke G., Lurka A. & Zembaty Z., 2020. Prediction of rotational ground motion for mining-induced seismicity – Case study from Upper Silesian Coal Basin, Poland. Engineering Geology, 276, 105767. https://doi.org/10.1016/ j.enggeo.2020.105767.
  • Nakamura Y., 1989. A method for dynamic characteristics estimation of subsurface using microtremor on the ground surface. Quarterly Report of Railway Technical Research Institute, 30(1), 25–33.
  • Nakamura Y., 2019. What is the Nakamura method? Seismological Research Letters, 90(4), 1437–1443. https://doi. org/10.1785/0220180376.
  • Nawrocki D., Mendecki M. & Teper L., 2021. Rotational-translational scaling relations from induced seismic events – comparison before and after amplification correction. Exploration Geophysics, Remote Sensing and Environment, 28(2), 18–28. https://doi.org/10.26345/egrse-018-21-202.
  • Nawrocki D., Mendecki M. & Teper L., 2022. Estimation of site resonance frequency using HVSR method for rotational and translational signals: result comparison from Fourier and response spectrum methods. [in:] Arion C., Scupin A., Ţigănescu A. (eds.), Proceedings of the Third European Conference on Earthquake Engineering and Seismology – 3ECEES: September 4 – September 9 2022, Bucharest, Romania, Conspress, Bucureşti, 4539–4546.
  • Okamoto S., 1984. Introduction to Earthquake Engineering. 2nd ed. University of Tokyo Press, Tokyo. Olszewska S., 2004. Application of the horizontal to vertical spectral ratio technique for estimating the site characteristics of ground motion caused by mining induced events. Acta Geophysica Polonica, 52(3), 301–318.
  • Olszewska D. & Mutke G., 2018. A study of site effect using surface-downhole seismic data in a mining area [paper presentation]. 16th European Conference on Earthquake Engineering, 18–21 June 2018, Thessaloniki, Greece. https://episodesplatform.eu/eprints/2123/1/Olszewska_ Mutke_1ECEE_fin2_20180305.pdf.
  • Pinzón L.A., Pujades L.G., Macau A., Carreño E. & Alcalde J.M., 2019. Seismic site classification from the horizontal-to-vertical response spectral ratios: Use of the Spanish strong-motion database. Geosciences, 9(7), 294. https://doi.org/10.3390/geosciences9070294.
  • Ringler A., Anthony R., Holland A., Wilson D. & Lin C.J., 2018. Observations of rotational motions from local earthquakes using two temporary portable sensors in Waynoka, Oklahoma. Bulletin of the Seismological Society of America, 108(6), 3562–3575. https://doi.org/10.1785/0120170347.
  • Rong M., Fu L.-Y., Wang Z., Li X., Carpenter N.S., Woolery E.W. & Lyu Y., 2017. On the amplitude discrepancy of HVSR and site amplification from strong-motion observations. Bulletin of the Seismological Society of America, 107(6), 2873–2884. https://doi.org/10.1785/0120170118.
  • Rupakhety R. & Sigbjörnsson R., 2013. Rotation-invariant measures of earthquake response spectra. Bulletin of Earthquake Engineering, 11(6), 1885–1893. https://doi.org/ 10.1007/s10518-013-9472-1.
  • Sagan G., Teper L. & Zuberek W.M., 1996. Tectonic analysis of mine tremor mechanisms from the Upper Silesian Coal Basin. Pure and Applied Geophysics, 147(2), 217–238. https://doi.org/10.1007/BF00877479.
  • Sbaa S., Hollender F., Perron V., Imtiaz A., Bard P.-Y., Mariscal A., Cochard A. & Dujardin A., 2017. Analysis of rotation sensor data from the SINAPS@ Kefalonia (Greece) post-seismic experiment – link to surface geology and wavefield characteristics. Earth, Planets and Space, 69, 124. https://doi.org/10.1186/s40623-017-0711-6.
  • SESAME: Site EffectS assessment using AMbient Excitations, 2004. Guidelines for the implementation of the H/V spectral ratio technique on ambient vibrations: Measurements, processing and interpretation. SESAME European Research Project, WP12 – Deliverable D23.12, European Commission – Research General Directorate.
  • Stanko D. & Markušić S., 2020. An empirical relationship between resonance frequency, bedrock depth and VS30 for Croatia based on HVSR forward modelling. Natural Hazards, 103(3), 3715–3743. https://doi.org/10.1007/ s11069-020-04152-z.
  • 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.
  • Teper L., 2000. Geometry of fold arrays in the Silesian-Cracovian region of southern Poland. [in:] Cosgrove J.W. & Ameen M.S. (eds.), Forced Folds and Fractures, Geological Society Special Publication, 169, The Geological Society, London, 167–179. https://doi.org/10.1144/gsl. sp.2000.169.01.12.
  • Zembaty Z., 2006. Deriving seismic surface rotations for engineering purposes. [in:] Teisseyre R., Takeo M. & Majewski E. (eds.), Earthquake Source Asymmetry, Structural Media and Rotation Effects, Springer, Berlin, Heidelberg, 549–568. https://doi.org/10.1007/3-540- 31337-0_38.
  • Zembaty Z., Mutke G., Nawrocki D. & Bobra P., 2017. Rotational ground‐motion records from induced seismic events. Seismological Research Letters, 88(1), 13–22. https://doi.org/10.1785/0220160131.
  • Zhu C., Cotton F. & Pilz M., 2020. Detecting site resonant frequency using HVSR: Fourier versus response spectrum and the first versus the highest peak frequency. Bulletin of the Seismological Society of America, 110(2), 427–440. https://doi.org/10.1785/0120190186.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-07312901-6bbc-4ae3-9b7f-e02aa6a32bac
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