1887
Volume 19 Number 2
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

The city of Pohang in South Korea experienced substantial damage following the 5.4 earthquake on 15 November 2017. Damage surveys immediately after the earthquake revealed significant spatial variations in damage intensity across the epicentral area. We collected ambient noise data (three‐component seismic data) from 124 locations in Pohang, covering a total area of 17 km × 20 km, and applied the horizontal‐to‐vertical spectral ratio technique to estimate the resonance frequency, amplification factor and vulnerability of the ground to seismic shaking. Spatial variations exhibited by these three parameters are strongly correlated and consistent with variations in local geology. By comparing the distribution of the ground vulnerability index () with the damage distribution (or intensity) documented by the Korea Meteorological Administration following the earthquake, we confirm that the site effect is the prevailing effect that influences damage intensity in this region. We also demonstrate that is an efficient proxy for identifying relatively fragile zones during ground shaking: in areas with a reported damage intensity of VIII, the proportion of the area with > 20 is as high as 78.2%. Given that the study area has experienced a recent moderate earthquake, with significant economic consequences, our new results and analytical techniques will provide valuable information for future urbanization projects.

Loading

Article metrics loading...

/content/journals/10.1002/nsg.12150
2021-04-16
2024-04-26
Loading full text...

Full text loading...

References

  1. Abd El‐Aal, A.E.‐A.K. (2010) Modelling of seismic hazard at the northeastern part of greater Cairo metropolitan area, Egypt. Journal of Geophysics and Engineering, 7, 75–90. http://doi.org/10.1088/1742‐2132/7/1/007
    [Google Scholar]
  2. Anderson, J.G., Bodin, P., Brune, J.N., Prince, J., Singh, S.K., Quaas, R. and Onate, M. (1986) Strong ground motion from the Michoacan, Mexico, Earthquake. Science, 233, 1043–1049. https://www.doi.org/10.1126/science.233.4768.1043.
    [Google Scholar]
  3. Assatourians, K. and Atkinson, G. (2010) Database of processed time series and response spectra data for Canada: An example application to study of 2005 MN5.4 Rivier du Loup, Quebec, Earthquake. Seismological Research Letters, 81, 1013–1031. https://doi.org/10.1785/gssrl.81.6.1013.
    [Google Scholar]
  4. Badrane, S., Bahi, L., Jabour, N. and Brahim, A.I. (2006) Seismic site effect estimation in the city of Rabat (Morocco). Journal of Geophysics and Engineering, 3, 207–211. https://doi.org/10.1088/1742‐2132/3/3/001.
    [Google Scholar]
  5. Bignardi, S., Mantovani, A. and AbuZeid, N. (2016) OpenHVSR: Imaging the subsurface 2D/3D elastic properties through multiple HVSR modeling and inversion. Computers & Geosciences, 93, 103–113. https://doi.org/10.1016/j.cageo.2016.05.009.
    [Google Scholar]
  6. Bonilla, L.F., Steidl, J.H., Lindley, G.T., Tumarkin, A.G. and Archuleta, R.J. (1997) Site amplification in the San Fernando Valley, California: Variability of site‐effect estimation using the S‐wave, coda, and H/V methods. Bulletin of the Seismological Society of America, 87, 710–730.
    [Google Scholar]
  7. Borcherdt, R.D. (1970) Effects of local geology on ground motion near San Francisco Bay. Bulletin of the Seismological Society of America, 60, 29–61.
    [Google Scholar]
  8. Chatelain, J.‐L., Guillier, B., Cara, F., Duval, A.‐M., Atakan, K. and Bard, P.‐Y. and The WP02 SESAME team (2008) Evaluation of the influence of experimental conditions on H/V results from ambient noise recordings. Bulletin of Earthquake Engineering, 6, 33–74. https://doi.org/10.1007/s10518‐007‐9040‐7.
    [Google Scholar]
  9. Choi, J.‐H., Ko, K., Gihm, Y.S., Cho, C.S., Lee, H., Song, S.G., et al. (2019) Surface deformation and rupture processes associated with the 2017 Mw 5.4 Pohang, Korea, earthquake. Bulletin of the Seismological Society of America, 109, 756–769. https://doi.org/10.1785/0120180167.
    [Google Scholar]
  10. Chough, S.K., Lee, H.J. and Yoon, S.H. (2000) Marine Geology of Korean Seas. Elsevier.
    [Google Scholar]
  11. Ellsworth, W.L., Giardini, D., Townend, J., Ge, S. and Shimamoto, T. (2019) Triggering of the Pohang, Korea, Earthquake (Mw 5.5) by enhanced geothermal system stimulation. Seismological Research Letters, 90, 1844–1854. https://doi.org/10.1785/0220190102.
    [Google Scholar]
  12. Gaytan, A.R., Estrella, H.F., Preciado, A., Bandy, W.L., Lazcano, S., Nolasco, L.A., et al. (2020) Subsoil classification and geotechnical zonation for Guadalajara City, México: Vs30, soil fundamental periods, 3D structure and profiles. Near Surface Geophysics, 1–14. https://doi.org/10.1002/nsg.12085.
    [Google Scholar]
  13. Geological Society of Korea (2019) Summary report of the Korean Government Commission on relations between the 2017 Pohang earthquake and EGS project. 127.
  14. Geopsy Group (2019) Geopsy Package Release 3.2.0.
  15. Gosar, A. (2017) Study on the applicability of the microtremor HVSR method to support seismic microzonation in the town of Idrija (W Slovenia). Bat, Hazards Earth Syst. Sci.17, 925–937. https://doi.org/10.5194/nhess-17-925-2017.
    [Google Scholar]
  16. Grigoli, F., Cesca, S., Rinaldi, A.P., Manconi, A., López‐Comino, J.A., Clinton, J.F., et al. (2018) The November 2017 Mw 5.5 Pohang earthquake: A possible case of induced seismicity in South Korea. Science, 360, 1003–1006. https://doi.org/10.1126/science.aat2010.
    [Google Scholar]
  17. Haghshenas, E., Bard, P.‐Y. and Theodulidis, N. and SESAME WP04 Team (2008) Empirical evaluation of microtremor H/V spectral ratio. Bulletin of Earthquake Engineering, 6, 75–108. https://doi.org/10.1007/s10518‐007‐9058‐x.
    [Google Scholar]
  18. Hassani, B. and Atkinson, G.M. (2016) Applicability of the site fundamental frequency as a VS30 proxy for Central and Eastern North America. Bulletin of the Seismological Society of America, 106, 653–664. https://www.doi.org/10.1785/0120150259.
    [Google Scholar]
  19. Holzer, T.L. (1995) The Hanshin‐Awaji (Kobe), Japan, Earthquake. GSA Today, 5, 154–167.
    [Google Scholar]
  20. Ishihara, K. and Koga, Y. (1981) Case studies of liquefaction in the 1964 Niigata Earthquake. Soils and Foundations, 21, 35–52. https://doi.org/10.3208/sandf1972.21.3_35.
    [Google Scholar]
  21. Kang, S.Y., Kim, K.‐H., Chiu, J.‐M. and Liu, L. (2020) MicrotremorHVSR analysis of heterogeneous shallow sedimentary structures at Pohang, South Korea. Journal of Geophysics and Engineering, https://doi.org/10.1093/jge/gxaa035.
    [Google Scholar]
  22. Kao, H. and Chen, W.‐P. (2000) The Chi‐Chi earthquake sequence; active, out‐of‐sequence thrust faulting in Taiwan. Science, 288, 2346–2349.
    [Google Scholar]
  23. Kawase, H., Sánchez‐Sesma, F. J. and Matsushima, S. (2011) The Optimal Use of Horizontal‐to‐Vertical Spectral Ratios of Earthquake Motions for Velocity Inversions Based on Diffuse‐Field Theory for Plane Waves. Bulletin of the Seismological of America. 101, 2001–2014. https://doi.org/10.1785/0120100263.
    [Google Scholar]
  24. KIGAM (2020) Geological map of Korea. Retrieved 10 March 2020 from https://mgeo.kigam.re.kr/.
  25. Kim, K.‐H., Chen, K.‐C., Wang, J.‐H. and Chiu, J.‐M. (2010) Seismogenic structures of the 1999 MW 7.6 Chi‐Chi, Taiwan, earthquake and its aftershocks. Tectonophysics, 489, 119–127.
    [Google Scholar]
  26. Kim, K.‐H., Ree, J.‐H., Kim, Y., Kim, S., Kang, S.Y. and Seo, W. (2018) Assessing whether the 2017 Mw 5.4 Pohang earthquake in South Korea was an induced event. Science, 360, 1007–1009. https://doi.org/10.1126/science.aat6081.
    [Google Scholar]
  27. Kim, K.‐H., Seo, W., Han, J., Kwon, J., Kang, S.Y., Ree, J.‐H., et al. (2020) The 2017 ML 5.4 Pohang earthquake sequence, Korea, recorded by a dense seismic network. Tectonophysics, 774, 228306. https://doi.org/10.1016/j.tecto.2019.228306.
    [Google Scholar]
  28. Kim, J.H. and Do, Y.W. (2018) Estimation of Economic impact and policy implications of the Pohang earthquake. Regional Economic Survey and Research. Pohang, Pohang Branch, The Bank of Korea. Pohang 2018‐2.
  29. Konno, K. and Ohmachi, T. (1998) Ground‐motion characteristics estimated from spectral ratio between horizontal and vertical components of ambient noise. Bulletin of the Seismological Society of America, 88, 228–241.
    [Google Scholar]
  30. Korea Meteorological Administration (2018) The Pohang Earthquake Analysis Report. Seoul, Korea: Korea Meteorological Administration.
    [Google Scholar]
  31. Korea Meteorological Administration (2020) List of earthquakes in Korea. Retrieved 22 July 2020 from https://www.weather.go.kr/weather/earthquake_volcano/domesticlist.jsp.
  32. Korean Statistical Information Service (2020) Populations in Korea. Retrieved 10 August 2020 from http://kosis.kr/index/index.do.
  33. Lachet, C., Hatzfeld, D., Bard, P.‐Y., Theodulidis, N., Papaioannou, C. and Savvaidis, A. (1996) Site effects and microzonation in the city of Thessaloniki (Greece) comparison of different approaches. Bulletin of the Seismological Society of America, 86, 1692–1703.
    [Google Scholar]
  34. Lee, H., Kim, R. and Kang, T.‐S. (2017) Seismic response from microtremor of Chogye Basin, Korea. Geophysics and Geophysical Exploration, 20, 88–95. https://doi.org/10.7582/GGE.2017.20.2.088.
    [Google Scholar]
  35. Lee, K.‐K., Ellsworth, W.L., Giardini, D., Townend, J., Ge, S., Shimamoto, T., et al. (2019) Managing injection‐induced seismic risks. Science, 364, 730–732. https://doi.org/10.1126/science.aax1878.
    [Google Scholar]
  36. Liu, L., Chen, Q., Wang, W. and Rohrbach, E. (2014) Ambient noise as the new source for urban engineering seismology and earthquake engineering: a case study from Beijing metropolitan area. Earthq. Sci.27, 89–100. https://doi.org/10.1007/s11589-013-0052-x.
    [Google Scholar]
  37. Mihaylov, D., El Naggar, M.H. and Dineva, S. (2016) Separation of high‐ and low‐level ambient noise for HVSR: Application in city conditions for Greater Toronto Area. Bulletin of the Seismological Society of America, 106, 2177–2184. https://doi.org/10.1785/0120150389.
    [Google Scholar]
  38. Ministry of the Interior and Safety (2018) 2017 Pohang Earthquake Whitepaper. Seoul, Ministry of Interior and Safety.
    [Google Scholar]
  39. Molnar, S., Cassidy, J.F., Castellaro, S., Cornou, C., Crow, H., Hunter, J.A., Matsushima, S., Sánchez‐Sesma, F.J. and Yong, A. (2018) Application of Microtremor Horizontal‐to‐Vertical Spectral Ratio (MHVSR) Analysis for Site Characterization: State of the Art. Surv. Geophys.39, 613–631. https://doi.org/10.1007/s10712-018-9494-4.
    [Google Scholar]
  40. Mucciarelli, M., Gallipoli, M.R. and Arcieri, M. (2003) The stability of the horizontal‐to‐vertical spectral ratio of triggered noise and earthquake recordings. Bulletin of the Seismological Society of America, 93, 1407–1412. https://doi.org/10.1785/0120020213.
    [Google Scholar]
  41. Naik, S.P., Kim, Y.‐S., Kim, T. and Jeong, S.‐H. (2019) Geological and structural control on localized ground effects within the Heunghae basin during the Pohang earthquake (MW 5.4, 15th November 2017), South Korea. Geosciences, 9, 173. https://doi.org/10.3390/geosciences9040173.
    [Google Scholar]
  42. Nakamura, Y. (1989) A method for dynamic characteristics estimation of subsurface using microtremor on the ground surface. Quarterly Report of Railway Technology Research Institute, 30, 25–33.
    [Google Scholar]
  43. Nakamura, Y. (1997) Seismic vulnerability indices for ground and structures using microtermor. World Congress on Railway Research. Florence, 1–7.
  44. Nakamura, Y. (2000) Clear identification of fundamental idea of Nakamura's technique and its applications. 12th World Conference on Earthquake and Engineering.
  45. Nakamura, Y. (2019) What is the Nakamura method?Seismological Research Letters, 90, 1437–1443. https://doi.org/10.1785/0220180376.
    [Google Scholar]
  46. Pudi, R., Roy, R., Martha, T.R. and Kumar, K.V. (2020) Estimation of earthquake local site effects using microtremor observations for the Garhwal‐Kumaun Himalaya, India. Near Surface Geophysics, 1–21. https://doi.org/10.1002/nsg.12128.
    [Google Scholar]
  47. Ree, J.‐H., Kim, K.‐H., Kim, S., Lim, H., Seo, W. and Kim, Y. (2019) Reactivation of unfavorably‐oriented faults for the 2017 Pohang earthquake sequence: Driven by fluid overpressure?Third Schatzalp Workshop on Induced Seismicity, Davos, Switzerland.
  48. Rong, M., Fu, L.‐Y., Wang, Z., Li, X., Carpenter, N. S., Woolery, E. W. and Lyu, Y. (2017) On the Amplitude Discrepancy of HVSR and Site Amplification from Strong‐Motion Observations. Bulletin of the Seismological Society of America107, 2873–2884. https://doi.org/10.1785/0120170118.
    [Google Scholar]
  49. Sairam, B., Singh, A.P., Patel, V., Pancholi, V., Chopra, S., Dwivedi, V.K. and Kumar, M.R. (2018) Influence of local site effects in the Ahmedabad mega city on the damage due to Pas Earthquakes in Northwestern India. Bulletin of the Seismological Society of America, 108, 2170–2182. https://doi.org/10.1785/0120170266.
    [Google Scholar]
  50. Salinas, V., Luzón, F., García‐Jerez, A., Sánchez‐Sesma, F.J., Kawase, H., Matsushima, S., et al. (2014) Using diffuse field theory to interpret the H/V spectral ratio from earthquake records in Cibeles seismic station, Mexico City. Bulletin of the Seismological Society of America, 104, 995–1001. https://doi.org/10.1785/0120130202.
    [Google Scholar]
  51. SESAME (2004) Guidelines for the implementation of the H/V spectral ratio technique on ambient vibrations; measurements, processing and interpretation. SESAME European research project, Deliverable D23, 12, Project No. EVG1‐CT‐2000‐00026 SESAME.
  52. Singh, A.P., Shukla, A.S., Kumar, M.R. and Thakkar, M.G. (2017) Characterizing surface geology, liquefacion potential, and maximum intensity in the Kachchh Seismic Zone, Western India, through microtremor analysis. Bulletin of the Seismological Society of America, 107. https://doi.org/10.1785/0120160264.
    [Google Scholar]
  53. Singh, S.K., Mena, E. and Castro, R. (1988) Some aspects of source characteristics of the 19 September 1985 Michoacan earthquake and ground motion amplification in and near Mexico City from strong motion data. Bulletin of the Seismological Society of America, 78, 451–477.
    [Google Scholar]
  54. Son, M., Song, C.W., Kim, M.‐C., Cheon, Y., Cho, H. and Shon, Y.K. (2015) Miocene tectonic evolution of the basins and fault systems, SE Korea: Dextral, simple shear during the East Sea (Sea of Japan) opening. Journal of the Geological Society, 172, 664–680. https://doi.org/10.1144/jgs2014‐079.
    [Google Scholar]
  55. Song, C.W., Son, M., Sohn, Y.K., Han, R., Shinn, Y.J. and Kim, J.‐C. (2015) A study on potential geologic facility sites for carbon dioxide storage in the Miocene Pohang Basin, SE Korea. The Geological Society of Korea, 51, 53–66. https://doi.org/10.14770/jgsk.2015.51.1.53.
    [Google Scholar]
  56. Stanko, D., Markušić, S., Gazdek, M., Sanković, V., Slukan, I. and Ivančić, I. (2019) Assessment of the seismic site amplification in the city of Ivanec (NW part of Croatia) using the microtremor HVSR method and equivalent‐linear site response analysis. Geosciences Journal, 8, 312. https://doi.org/10.3390/geosciences9070312.
    [Google Scholar]
  57. Steidl, J.H., Tumarkin, A.G. and Archuleta, R.J. (1996) What is a reference site?Bulletin of the Seismological Society of America, 86, 1733–1748.
    [Google Scholar]
  58. Sunaryo, (2017) Study of seismic vulnerability index (Kg) from dominant frequency (f0) and amplification factor (A0) by means of microzonation data: Case study on Batubesi dam of Nuha, East Luwu, South Sulawesi, Indonesia. 2017 International Seminar on Sensors, Instrumentation, Measurement and Metrology (ISSIMM).
http://instance.metastore.ingenta.com/content/journals/10.1002/nsg.12150
Loading
/content/journals/10.1002/nsg.12150
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error