Abstract
During a multidisciplinary microzonation pilot project in the city of Heraklion (Crete, Greece), microtremor data were collected at the top of exploratory boreholes specifically designed for the purposes of the project, over a period of 5 days, for 4 h/day at 125 Hz (continuous recordings). The data were analysed with the SSR and H/V Ratio techniques, using the standard FFT (applied to long data series) and a Multi-variate Maximum Entropy (MV-MAXENT) spectral analysis method. Both techniques, implemented with both spectral analysis methods, identify the same major resonance frequency band, albeit with different amplification levels. The MV-MAXENT however is effective in handling short data lengths while yielding high resolution spectra and addressing several shortcomings of the conventional FFT (windowing, zero padding etc.). Thus, it yields competitively similar results, with only a fraction (a few minutes) of the data required by the lower resolution (FFT) method and appears to be a powerful tool for site effect investigations. Moreover, the results of both microtremor-based techniques are consistent and remarkably similar to the results of microzonation methods that require (expensive) borehole data.
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References
Akaike, H. (1969), Power Spectrum Estimation through Auto-regressive Model Fitting, Ann. Inst. Stat. Math., Tokyo, 21, 243–247.
Aki, K. (1957), Space and Time Spectra of Stationary Stochastic Waves with Special Reference to Microtremors, Bull. Earthq. Res. Inst. 35, 415–457.
Aki, K. (1993), Local Site Effects on Weak and Strong Ground Motion, Tectonophysics 218, 93–111.
Bard, P.-Y. (1995), Effects of Surface Geology on Ground Motion: Recent results and remaining issues, Proc. 10th European Conf. on Earth. Engin., Vienna, 1, 305–323.
Borcherdt, R. D. and Ebbs, J. F. (1976), Effects of Local Geological Conditions in the San Fransisco Bay Region on Ground Motions and the Intensities of the 1906 Earthquake, Bull. Seismol. Soc. Am. 66, 467–500.
Boukovalas, G. (1997), Seismic Response Analysis and Soil Stability Investigation in the Area of Heraklion City Crete Island, Project report in the frame of AUTO-SEISMO-GEOTECH, Project.
Burg, J. P. (1968), A New Analysis for Time Series Data,Paper presented at the NATO Advanced Study Institute on Signal Processing with Emphasis in Underwater Acoustics, Enschede, The Netherlands, August 1968.
Brillinger, D. R., Time Series. Data Analysis and Theory (Holden-Day, 1981).
Chavez-Garcia, F. J., Pedotti, G., Hatzfeld, D., and Bard, P. Y. (1990), An Experimental Study of Site Effects near Thessaloniki (Northern Greece), Bull. Seismol. Soc. Am. 80, 784–806.
Duval, A-M. (1994), Détermination de la réponse d’un site aux séismes à l’aide du bruit de fond: Evaluation expérimentale, Ph.D. Thesis, Pierre et Marie Curie University — Paris 6.
Edafomihaniki, Ltd. (1996), “Project: [9521] Auto-Seismo-Geotech, Geotechnical Investigation.”
Field, E. H. and Jacob, K. (1993), The Theoretical Response of Sedimentary Layers to Ambient Seismic Noise, Geophys. Res. Lett. 20–24, 2925–2928.
Field, E. H. and Jacob, K. (1995)A Comparison and Test of Various Site-response Estimation Techniques,Including three that are not Reference-site Dependent,Bull. Seismol. Soc. Am.85, 1127–1143.
Hough, S. E., Seeber, L., Rovelli, A., Malagini, L., Decesare, A., Selveggi, G., and Lerner-Lam, A. (1992), Ambient Noise and Weak-motion Excitation of Sediment Resonances: Results from the Tiber Valley,Italy, Bull. Seismol. Soc. Am. 82, 1186–1205.
Jaynes, E. T., New Engineering applications of information theory. In Proc 1st Symp. Engin. Appl. Random Function Theory and Probability (Bogdanof, J. L. and Kozin, F., eds), (Wiley, New York 1963) pp. 163–203.
Jaynes, E. T. (1968), Prior probabilities,IEEE Trans Systems Sci. Cybern., SEC-4, 227–241.
Jaynes, E. T. (1982), On the rationale of maximum entropy methods, Proc. IEEE 70, 939.
Jarpe, S. P., Cramer, C. H., Tucker, B. E., and Shakal, A. F. (1988), A Comparison of Observations of Ground Response to Weak and Strong Motion at Coalinga, California, Bull. Seismol. Soc. Am. 78, 421–435.
Jenkins, G. M. and Watts, D. G., Spectral Analysis (Holden-Day, San Francisco, 1968).
Kromer, R. (1970), Asymptotic Properties of the Autoregressive Spectral Estimator,Ph.D. Thesis, Stanford University, Stanford CA.
Lachet, C. and Bard, P.-Y. (1994), Numerical and Theoretical Investigations on the Possibilities and Limitations of the Nakamura’s Technique, J. Phys. Earth 42, 377–397.
Lermo, J. and Chavez-Garcia, F. G. (1993), Site Effect Evaluation Using Spectral Ratios with only one Station, Bull. Seismol. Soc. Am. 83, 1574–1594.
Lermo, J. and Chavez-Garcia, F. J. (1994), Are Microtremors Useful in Site Response Evaluation?, Bull. Seismol. Soc. Am. 84, 1350–1364.
Morf, M., Vieira, A., Lee, D. T. L., and Kailath, T. (1978), Recursive Multichannel Maximum Entropy Spectral Estimation, IEEE Trans. on Geoscience Electronics GE-16, 85–94.
Nakamura, Y. (1989), A Method for Dynamic Characteristics Estimation of Subsurface Using Microtremor on the Ground Surface, Quarterly Rept. R.T.R.I, Jap. 30, 25–33.
Omote, S., Srivastava, H. N., Drakopoulos, J., and Tokumitsu, T. (1972), Investigations of Microtremors in the Akita Plain in Japan,Pure appl. geophys. 99, 85–93.
Ohmachi, T., Nakamura, Y., and Toshinawa, T. (1991), Ground motion characteristics in the San Francisco Bay area detected by microtremor measurements. In Proc. 2nd Intern. Conf. on Recent Advances in Geotechnical Earth. Engin. and Soil Dyn., March 11–15, St. Louis, Missouri, 1643–1648.
Raptakis, D., Theodulidis, N., and Pitilakis, K. (1998), Data Analysis of the EUROSEISTEST Strong Motion Array in Volvi (Greece): Standard and Horizontal-to-vertical Spectral Ratio Techniques,Earthquake Spectra 14, 203–224.
Strand, O. N. (1977), Multichannel Complex Maximum Entropy (Autoregressive) Spectral Analysis,IEEE Trans. on Autom. Control, AC-22, 634–640.
Seht and Wohlenberg (1999), Microtremor Measurements Used to Map Thickness of Soft Sediments, Bull. Seismol. Soc. Am. 89, 250–259.
Theodulidis, N. and Bard, P.-Y. (1995), Horizontal to Vertical Spectral Ratio and Geological Conditions: An Analysis of Strong Motion Data From Greece and Taiwan (SMART-1), Soil Dyn. and Earthq. Eng. 14, 177–197.
Theodulidis, N., Archuleta, R. J., Bard, P.-Y., and Bouchon, M. (1996), Horizontal to Vertical Spectral Ratio and Geological Conditions: The Case of Garner Valley Downhole Array in Southern California, Bull. Seismol. Soc. Am. 86, 306–319.
Tucker, B. E. and King, J. L. (1984), Dependence of Sediment filled Valley Response on the Input Amplitude and the Valley Properties, Bull. Seismol. Soc. Am. 74, 153–165.
Tucker, B. E., King, J. L., Hatzfeld, D., and Nersesov, I. L. (1984), Observations of Hard Rock Site Effects, Bull. Seismol. Soc. Am. 74, 121–136.
Ulrych, T. J. and Bishop, T. N. (1975), Maximum entropy spectral analysis and autoregressive decomposition. In Reviews of Geophysics and Space Physics, vol. 13, no. 1, pp. 183–200, February 1975.
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Diagourtas, D., Tzanis, A., Makropoulos, K. (2002). Comparative Study of Microtremor Analysis Methods. In: Roca, A., Oliveira, C. (eds) Earthquake Microzoning. Pageoph Topical Volumes. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8177-7_11
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DOI: https://doi.org/10.1007/978-3-0348-8177-7_11
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