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Shear wave velocity profiling by inverse analysis of array microtremors for two cities in Iran: conventional derivative-based versus genetic algorithm inversion methods

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Abstract

GA-based and conventional derivative-based inversion methods were employed to determine Vs profile of subsurface soil layers from array microtremors for two cities in Iran. The applied methods were verified against geotechnical and geophysical data. The results obtained by both GA-based and conventional inversions were in acceptable agreement with results of other Vs profiling techniques. However, the variability of obtained Vs data was smaller at deeper depths indicating more reliability of predictions. Comparison between seismic ground response based on Vs profiles of different methods showed that both GA-based and conventional inversion methods agree more with the seismic downhole method than the seismic refraction technique.

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References

  • Apostolidis P, Raptakis D, Roumelioti Z, Pitilakis K (2004) Determination of S-wave velocity structure using microtremors and SPAC method applied in Thessaloniki (Greece). Soil Dyn Earthq Eng 24:49–67

    Article  Google Scholar 

  • Arai H, Tokimatsu K (2004) S-wave velocity profiling by inversion of microtremor H/V spectrum. Bull Seismol Soc Am 94:53–63

    Article  Google Scholar 

  • Bard P-Y (1999) Microtremor measurements: a tool for site effect estimation? In: Proceedings of the second international symposium on the effects of surface geology on seismic motion, Balkema, Japan, pp 1251–1279

  • Baziar MH, Fallah H, Razeghi HR, Khorasani MM (1998) The relation of shear wave velocity and SPT for soils in Iran. Paris, France

  • Capon J (1969) High-resolution frequency-wavenumber spectrum analysis. Proc IEEE 57:1408–1418

    Article  Google Scholar 

  • Dal Moro G, Pipan M, Gabrielli P (2007) Rayleigh wave dispersion curve inversion via genetic algorithms and Marginal Posterior Probability Density estimation. J Appl Geophys 61:39–55

    Article  Google Scholar 

  • Dorman J, Ewing M (1962) Numerical inversion of seismic surface wave dispersion data and crust-mantle structure in the New York-Pennsylvania area. J Geophys Res 67:5227–5241

    Article  Google Scholar 

  • Fernández J, Hermanns L, Fraile A, Alarcón E, del Rey I (2011) Spectral-analysis-surface-waves-method in ground characterization. Procedia Eng 10:3202–3207

    Article  Google Scholar 

  • Ghalandarzadeh A (2002) Seismic microzonation of Urmia city-phase 1 and 2. Report, Housing and Urban Development Department of West Azarbaijan Province, Iran

  • Ghalandarzadeh A, Tabatabaii S, Salamat A (2004) Design response spectrum of Bam city. Building and Housing Research Center, Tehran, Iran

    Google Scholar 

  • Goh TL, Samsudin AR, Rafek AG (2011) Application of spectral analysis of surface waves (SASW) method: rock mass characterization. Sains Malays 40:425–430

    Google Scholar 

  • Goldberg DE (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley Longman Publishing Co., Inc., Boston

    Google Scholar 

  • Haskell NA (1953) The dispersion of surface waves on multilayered media. Bull Seismol Soc Am 43:17–34

    Google Scholar 

  • Heisey JS, Stokoe KH II, Hudson WR, Meyer AH (1982) Determination of in situ shear wave velocities from spectral analysis of surface waves. Center for Transportation Research, The University of Texas at Austin, Austin

    Google Scholar 

  • Holland JH (1975) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. University of Michigan Press, Oxford

    Google Scholar 

  • Horike M (1985) Inversion of phase velocity of long-period microtremors to the S-wave velocity structure down to the basement in urbanized areas. J Phys Earth 33:59–96

    Article  Google Scholar 

  • Hunaidi O (1998) Evolution-based genetic algorithms for analysis of non-destructive surface wave tests on pavements. NDT and E Int 31:273–280

    Article  Google Scholar 

  • Kavand A, Ghalandarzadeh A, Tabatabaii S (2006) Determination of shear wave velocity profile of sedimentary deposits in Bam city (southeast of Iran) using microtremor measurements. ASCE Geotech Spec Publ GSP Site Geomater Charact 149:196–203

    Google Scholar 

  • Kocaoglu AH, Firtana K (2011) Estimation of shear wave velocity profiles by the inversion of spatial autocorrelation coefficients. J Seismol 15:613–624

    Article  Google Scholar 

  • Kolar P (2000) Two attempts of study of seismic source from teleseismic data by simulated annealing non-linear inversion. J Seismol 4:197–213

    Article  Google Scholar 

  • Kuo C-H, Chen C-T, Lin C-M, Wen K-L, Huang J-Y, Chang S-C (2016) S-wave velocity structure and site effect parameters derived from microtremor arrays in the Western Plain of Taiwan. J Asian Earth Sci 128:27–41

    Article  Google Scholar 

  • Lai CG, Rix GJ (1998) Simultaneous inversion of Rayleigh phase velocity and attenuation for near-surface site characterization. National Science Foundation and U.S. Geological Survey, Georgia Institute of Technology, Atlanta

    Google Scholar 

  • Liu H, Boore D, Joyner W, Oppenheimer D, Warrick R, Zhang W, Hamilton J, Brown L (2000) Comparison of phase velocities from array measurements of Rayleigh waves associated with microtremor and results calculated from borehole shear-wave velocity profiles. U.S. Department of the Interior, U.S. Geological Surway, USA

    Google Scholar 

  • Lontsi AM, Ohrnberger M, Krüger F, Sánchez-Sesma FJ (2016) Combining surface-wave phase-velocity dispersion curves and full microtremor horizontal-to-vertical spectral ratio for subsurface sedimentary site characterization. Interpretation 4:41–49

    Article  Google Scholar 

  • Man KF, Tang KS, Kwong S (2012) Genetic algorithms for control and signal processing. Springer, Berlin

    Google Scholar 

  • Marano S, Fah D, Lu YM (2014) Sensor placement for the analysis of seismic surface waves: sources of error, design criterion and array design algorithms. Geophys J Int 197:1481–1566

    Article  Google Scholar 

  • Nakamura Y (1989) A method for dynamic characteristics estimation of subsurface using microtremor on the ground surface. Q Rep RTRI 30:25–33

    Google Scholar 

  • Pamuk E, Ozdag OC, Tuncel A, Ozyalin S, Akgun M (2018) Local site effects evaluation for Aliaga/Izmir using HVSR (Nakamura technique) and MASW methods. Nat Hazards 90:887–899. https://doi.org/10.1007/s11069-017-3077-y

    Article  Google Scholar 

  • Pezeshk S, Zarrabi M (2005) A new inversion procedure for spectral analysis of surface waves using a genetic algorithm. Bull Seismol Soc Am 95:1801–1808

    Article  Google Scholar 

  • Picozzi M, Albarello D (2007) Combining genetic and linearized algorithms for a two-step joint inversion of Rayleigh wave dispersion and H/V spectral ratio curves. Geophys J Int 169:189–200

    Article  Google Scholar 

  • Rahman MZ, Kamal ASMM, Siddiqua S (2018) Near-surface shear wave velocity estimation and V 30s mapping for Dhaka City. Nat Hazards, Bangladesh. https://doi.org/10.1007/s11069-018-3266-3

    Book  Google Scholar 

  • Richart FE, Hall JR, Woods RD (1970) Vibration of soils and foundations. Prentice Hall, Englewood Cliffs, p 401

    Google Scholar 

  • Rix GJ, Stokoe KH, Roesset JM (1991) Experimental study of factors affecting the spectral-analysis-of-surface-waves method

  • Sahraeian MS, Kavand A, Ghalandarzadeh A (2008) Estimation of shear wave velocity by means of array measurement of microtremors using genetic algorithm method. In: Proceeding of the 14th world conference on earthquake engineering, Beijing, China

  • Sahraeian MS, Kavand A, Ghalandarzadeh A (2012) Application of genetic algorithm in inversion of Rayleigh waves dispersion curve of array measurement of microtremors. Civ Eng Infrastruct J 45:827–834

    Google Scholar 

  • Sambridge M (1999) Geophysical inversion with a neighbourhood algorithm—I. Searching a parameter space. Geophys J Int 138:479–494

    Article  Google Scholar 

  • Shafiee A, Kamalian M, Jafari MK, Hamzehloo H (2011) Ground motion studies for microzonation in Iran. Nat Hazards 59:481–505. https://doi.org/10.1007/s11069-011-9772-1

    Article  Google Scholar 

  • Singh AP, Parmar A, Chopra S (2017) Microtremor study for evaluating the site response characteristics in the Surat City of western India. Nat Hazards 89:1145. https://doi.org/10.1007/s11069-017-3012-2

    Article  Google Scholar 

  • Tabatabaii S, Ghalandarzadeh A, Tofigh M, Salamat A (2003) Geotechnical investigations at Iranian strong motion record stations. Building and Housing Research Center, Tehran

    Google Scholar 

  • Tokeshi K, Harutoonian P, Leo CJ, Liyanapathirana S (2013) Use of surface waves for geotechnical engineering applications in Western Sydney. Adv Geosci 35:37–44

    Article  Google Scholar 

  • Tokimatsu K (1995) Geotechnical site characterization using surface waves. In: Proceeding of 1st international conference on earthquake geotechnical engineering, The Japanese Geotechnical Society, Japan, Tokyo, pp 1–35

  • Tokimatsu K, Shinzawa K, Kuwayama S (1992) Use of short-period microtremors for Vs profiling. J Geotech Eng 118:1544–1588

    Article  Google Scholar 

  • Wu CF, Huang HC (2012) Estimation of shallow S-wave velocity structure in the Puli basin, Taiwan, using array measurements of microtremors. Earth Planets Space 64:389–403

    Article  Google Scholar 

  • Yamanaka H, Ishida H (1996) Application of Genetic algorithms to an inversion of surface-wave dispersion data. Bull Seismol Soc Am 86:436–444

    Google Scholar 

Download references

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Correspondence to Abbas Ghalandarzadeh.

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Sahraeian, S.M.S., Kavand, A. & Ghalandarzadeh, A. Shear wave velocity profiling by inverse analysis of array microtremors for two cities in Iran: conventional derivative-based versus genetic algorithm inversion methods. Nat Hazards 102, 335–363 (2020). https://doi.org/10.1007/s11069-020-03929-6

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