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Soil characterization of Tınaztepe region (İzmir/Turkey) using surface wave methods and nakamura (HVSR) technique

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Abstract

To determine the shear wave velocity structure and predominant period features of Tınaztepe in İzmir, Turkey, where new building sites have been planned, active–passive surface wave methods and single-station microtremor measurements are used, as well as surface acquisition techniques, including the multichannel analysis of surface waves (MASW), refraction microtremor (ReMi), and the spatial autocorrelation method (SPAC), to pinpoint shallow and deep shear wave velocity. For engineering bedrock (V s > 760 m/s) conditions at a depth of 30 m, an average seismic shear wave velocity in the upper 30 m of soil (AVs30) is not only accepted as an important parameter for defining ground behavior during earthquakes, but a primary parameter in the geotechnical analysis for areas to be classified by V s30 according to the National Earthquake Hazards Reduction Program (NEHRP). It is also determined that Z1.0, which represents a depth to V s = 1000 m/s, is used for ground motion prediction and changed from 0 to 54 m. The sediment–engineering bedrock structure for Tınaztepe that was obtained shows engineering bedrock no deeper than 30 m. When compared, the depth of engineering bedrock and dominant period map and geology are generally compatible.

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References

  • Akgün M Gönenç T Pamukçu O Özyalın Ş and Özdağ ÖC (2013), “Integrated Geophysical Methods for the Determination of Engineering Bedrock: İzmir New City Center,” Jeofizik, 18: 67–80. (in Turkish)

    Google Scholar 

  • Aki K (1957), “Space and Time Spectra of Stationary Stochastic Waves, with Special Reference to Microtremors,” Bulletin of the Earthquake Research Institute, 35: 415–456.

    Google Scholar 

  • Akkaya İ (2015), “The Application of HVSR Microtremor Survey Method in Yüksekova (Hakkari) Region, Eastern Turkey,” Journal of African Earth Sciences, 109: 87–95

    Article  Google Scholar 

  • Anbazhagan P and Sitharam TG (2009), “Spatial Variability of the Depth of Weathered and Engineering Bedrock Using Multichannel Analysis of Surface Wave Method,” Pure and Applied Geophysics, 166(3): 409–428.

    Article  Google Scholar 

  • Asten WM (2006), “On Bias and Noise in Passive Seismic Data from Finite Circular Array Data Processed Using SPAC Methods,” Geophysics, 71(6):153–162.

    Article  Google Scholar 

  • Bard PY (1998), “Microtremor Measurements: A Tool for Site Effect Estimation,” Proceedings of 2nd International Symposium on the Effect of Surface Geology on Seismic Motion, Vol III, Yokohama, Japan, pp. 1251–1279.

    Google Scholar 

  • Bettig B Bard PY Scherbaum F Riepl J and Cotton F (2001), “Analysis of Dense Array Noise Measurements Using the Modified Spatial Auto-correlation (SPAC)-Application to Grenoble Area,” Bolletino di Geofisica Teorica ed Applicata, 42: 281–304.

    Google Scholar 

  • Castellaro S Mulargia F and Rossi PL (2008), “V s30: Proxy for Seismic Amplification?” Seismol. Res. Lett., 79: 540–543.

    Article  Google Scholar 

  • Chavez-Garcia FJ Rodriguez M and Stephenson WR (2005), “An Alternative Approach to the SPAC Analysis of Microtremors: Exploiting Stationarity of Noise,” Bulletin of the Seismological Society of America, 95: 277–293.

    Article  Google Scholar 

  • Chavez-Garcia FJ Rodriguez M and Stephenson WR (2006), Subsoil Structure Using SPAC Measurements along a Line, Bulletin of the Seismological Society of America, 96: 729–736.

    Article  Google Scholar 

  • Chiou BSJ and Youngs RR (2008), “An NGA Model for the Average Horizontal Component of Peak Ground and Response Spectra,” Earthquake Spectra, 24(1): 173–215.

    Article  Google Scholar 

  • Chiou BSJ and Youngs RR (2014), “Update of the Chiou and Youngs NGA Model for the Average Horizontal Component of Peak Ground Motion and Response Spectra,” Earthquake Spectra, 30(3): 1117–1153.

    Article  Google Scholar 

  • Code TE (2007), Specification for Structures to be Built in Disaster Areas, Ministry of Public Works and Settlement Government of Republic of Turkey.

    Google Scholar 

  • Dikmen Ü and Mirzaoğlu M (2005), “The Seismic Microzonation Map of Yenisehir-Bursa, NW of Turkey by Means of Ambient Noise Measurements,” Balkan Geophysics Society, 8(2): 53–62.

    Google Scholar 

  • EC8 (2004), Eurocode 8: Design of Structures for Earthquake Resistance. Part 1: General Rules, Seismic Actions and Rules for Buildings, European Norm, European Committee for Standardisation, European Committee for Standardisation Central Secretariat, Rue de Stassart 36, B-1050 Brussels, Belgium

    Google Scholar 

  • Gitterman Y Zaslavsky Y Shapira A and Shtivelman V (1996), “Empirical Site Response Evaluations: Case Studies in Israel,” Soil Dynamic Earthquake Engineering, 15: 447–463.

    Article  Google Scholar 

  • Groundwater Study of Report (2002), Dokuz Eylül University.

    Google Scholar 

  • Kanlı Aİ, Tildy P, Pronay Z, Pınar A and Hemann L (2006), “V s30 Mapping and Soil Classification for Seismic Site Effect Evaluation in Dinar Region, S w Turkey,” Geophysical Journal International, 165: 223–235.

    Article  Google Scholar 

  • KOERI (2015), Bogazici University Kandilli Observatory and Earthquake Research Institute Regional Earthquake-Tsunami Monitoring Center (KOERI) website. [Online]. Available: http://www.koeri.boun.edu.tr/sismo/2/en/

    Google Scholar 

  • Konno K and 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: 228–241.

    Google Scholar 

  • Köhler A Ohrnberger M Scherbaum F Wathlet M and Cornou C (2007), Assessing the Reliability of the Modified Three-component Spatial Autocorrelation Technique, Geophysical Journal International, 168: 779–796.

    Article  Google Scholar 

  • Kuo CH Wen KL Lin CM Wen S and Huang JY (2015), “Investigating Near Surface Swave Velocity Properties Using Ambient Noise in Southwestern Taiwan,” Terr. Atmos. Ocean. Sci., 26: 205–211.

    Article  Google Scholar 

  • Lachet C and Bard PY (1994), “Numerical and Theoretical Investigations on the Possibilities and Limitations of Nakamura’s Technique,” Journal of Physics of the Earth, 42(5): 377–397.

    Article  Google Scholar 

  • Lermo J and Chavez-Garcia FJ (1993), “Site Effect Evaluation Using Spectral Ratios with Only One Station,” Bulletin of the Seismological Society of America, 83: 1574–1594.

    Google Scholar 

  • Lermo J and Chavez-Garcia FJ (1994), “Are Microtremors Useful in Site Response Evaluation?,” Bulletin of the Seismological Society of America, 84: 1350–1364.

    Google Scholar 

  • Levenberg K (1944), “A Method for the Solution of Certain Non-linear Problems in Least Squares” Quarterly of Applied Mathematics, 2: 164–168.

    Article  Google Scholar 

  • Liu HP Boore DM Joyner WB Oppenheimer DH Warrick RE Zhang W Hamilton JC and Brown LT (2000), “Comparison of Phase Velocities from Array Measurements of Rayleigh Waves Associated with microtremors and Results Calculated from Borehole Shear-wave Velocity Profiles,” Bulletin of The Seismological Society of America, 90: 666–678.

    Article  Google Scholar 

  • Louie JN (2001), “Faster, Better: Shear-wave Velocity to 100 Meters Depth from Refraction Microtremor Arrays,” Bulletin of the Seismological Society of America, 91: 347–364.

    Article  Google Scholar 

  • Marquardt D (1963), “An Algorithm for Least-squares Estimation of Nonlinear Parameters,” Journal of the Society for Industrial and Applied Mathematics, 11(2): 431–441.

    Article  Google Scholar 

  • Morikawa H Sawada S and Akamatsu J (2004), “A Method to Estimate Phase Velocities of Rayleigh Waves Using Microtremors Simultaneously Observed at Two Sites,” Bulletin of the Seismological Society of America, 94: 961–976.

    Article  Google Scholar 

  • Mucciarelli M (1998), “Reliability and Applicability of Nakamura’s Technique Using Microtremors: An Experimental Approach,” Journal of Earthquake Engineering, 4: 625–638.

    Google Scholar 

  • Nakamura Y (1989), “A Method for Dynamic Characteristics Estimation of Sub-surface Using Microtremor on the Ground Surface,” Quarterly Report of Railway Technical Research Institute, 30: 25–33.

    Google Scholar 

  • NEHRP (1997), “Recommended Provisions For Seismic Regulations For New Buildings and Other Structures, FEMA-303,” Prepared by the Building Seismic Safety Council for the Federal Emergency Management Agency, Washington, DC.

    Google Scholar 

  • Nogoshi M and Igarashi T (1970), “On The Propagation Characteristics of Microtremor,” Journal of the Seismological Society of Japan, 23: 264–280.

    Google Scholar 

  • Ohori M Nobata A and Wakamatsu K (2002), “A Comparison of ESAC and FK Methods of Estmating Phase Velocity Using Arbitrarily Shaped Microtremor Arrays,” Bulletin of the Seismological Society of America, 92: 2323–2332.

    Article  Google Scholar 

  • Okada H (2003), “The Microtremor Survey Method,” Geophysical Monograph, No. 12, Society of Exploration Geophysicists, Tulsa.

    Book  Google Scholar 

  • Özdağ ÖC, Gönenç T and Akgün M (2015), “Dynamic Amplification Factor Concept of Soil Layers: A Case Study in İzmir (Western Anatolia),” Arabian Journal of Geosciences, 8(11): 10093–10104.

    Article  Google Scholar 

  • Pamuk E Özyalin S Akgün M and Özdag CÖ (2014), “An Integrated Interpretation of Combining Dispersion Curves Obtained by Using Active & Passive Source Methods and Calculated S-wave Velocity Profiles: A Case Study of Izmir/Turkey,” In EGU General Assembly Conference Abstracts, 16: 710–710.

    Google Scholar 

  • Park CB and Miller RD (2005), “Seismic Characterization of Wind Turbine Sites in Kansas by the MASW Method,” Kansas Geological Survey Open-file Report, 2005-23.

    Google Scholar 

  • Park CB Miller RD and Xia J (1999), “Multichannel analysis of Surface Waves,” Geophysics, 64:800–808.

    Article  Google Scholar 

  • Tokimatsu K Tamura S and Kojima K (1992), “Effects of Multiple Mode on Rayleigh Wave Dispersion Characteristics,” Journal of Geotechnical Engineering, 118: 1529–1543.

    Article  Google Scholar 

  • Uzel B, Sözbilir H and Özkaymak Ç (2012), “Neotectonic Evolution of an Actively Growing Superimposed Basin in Western Anatolia: The Inner Bay of İzmir, Turkey,” Turkish Journal of Earth Sciences, 21(4): 439–471.

    Google Scholar 

Download references

Acknowledgement

This work was performed within part of Mr. Eren Pamuk’s master thesis at Dokuz Eylul University, The Graduate School of Natural and Applied Sciences. The borilling report and the MASW measurement (near the borehole) in this research were provided by TUBITAK-KAMAG (Project No. 106G159). GMT (Wessel and Smith, 1995) was used to create Figure 2. The authors also thank the anonymous reviewers for their helpful comments.

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Pamuk, E., Özdağ, Ö.C., Özyalın, Ş. et al. Soil characterization of Tınaztepe region (İzmir/Turkey) using surface wave methods and nakamura (HVSR) technique. Earthq. Eng. Eng. Vib. 16, 447–458 (2017). https://doi.org/10.1007/s11803-017-0392-y

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  • DOI: https://doi.org/10.1007/s11803-017-0392-y

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