Skip to main content
Log in

Source Spectra of Near Kamchatka Earthquakes: Recovering them from S-Wave Spectra, and Determination of Scaling for Three Corner Frequencies

  • Published:
Pure and Applied Geophysics Aims and scope Submit manuscript

Abstract

We describe a procedure for mass determination of the “source-controlled f max”—an important though not conventional parameter of earthquake source spectrum, relabeled here as “the third corner frequency,” f c3, and discuss the results of its application. f max is the upper cutoff frequency of Fourier acceleration spectrum of a record of a local earthquake; both source and path attenuation contribute to f max. Most researchers believe the role of attenuation (“κ” parameter) to be dominating or exclusive. Still, source effect on f max is sometimes revealed. If real, it may be important for source physics. To understand better the f max phenomena, the constituents of f max must be accurately separated. With this goal, we process seismograms of moderate earthquakes from Kamchatka subduction zone. First, we need reliable estimates of attenuation to recover source spectra. To this goal, an iterative processing procedure is constructed, that adjusts the attenuation model until the recovered source acceleration spectra become, on the average, flat up either to f c3, or up to the high-frequency limit of the frequency range analyzed. The latter case occurs when f c3 is non-existent or unobservable. Below f c3, the double-corner source spectral model is thought to be valid, and the lower bound of acceleration spectral plateau is considered as the second corner frequency of earthquake source spectrum, fc2. The common corner frequency, f c1, is also estimated. Following this approach, more than 500 S-wave spectra of M = 4–6.5 Kamchatka earthquakes with hypocentral distances 80–220 km were analyzed. In about 80 % of the cases, f c3 is clearly manifested; the remaining cases show, at high frequency, flat source acceleration spectra. In addition, in about 2/3 of cases, f c2 is clearly above f c1, showing that double-corner spectra may dominate even at moderate magnitudes. Scaling behavior was examined for each of the corners. The f c1 vs. M 0 trend is common and close to similarity (f c1M −1/30 ), whereas the trends for two other corners (f c2M −0.170 ; f c3M −0.110 ) dramatically contradict the concept of similarity. Physical interpretation of such a behavior is discussed. The origin of f c3 is ascribed to existence of the lowermost wavelength/size of fault heterogeneity. Its dependence on M 0 may reflect evolution of maturity of a fault in geological time. The approximate scaling f c2\(f_{c1}^{0.5}\) suggests that during propagation of slip pulse over a fault, its width, assumedly related to 1/f c2, grows in a stochastic manner; this reminds the random evolution of propagating boundary in the framework of the known Eden model of random growth.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Abubakirov, I. R. (2005), Attenuation characteristics of transverse waves in the lithosphere of Kamchatka estimated from observations at the Petropavlovsk digital broadband station, Izvestiya, Physics of the Solid Earth, 41: 813–824. (original in Russian: Fizika Zemli, 2005, #10, 46-58).

  • Abubakirov I.R. and Gusev. A.A. (1990), Estimation of scattering properties of lithosphere of Kamchatka based on Monte-Carlo simulation of record envelope of a near earthquake. Phys. Earth Planet. Inter. 64, 52–67.

  • Aki, K. (1967), Scaling law of seismic spectrum. J. Geophys. Res, 72, 1217–1231.

  • Aki, K., (1988), Physical theory of earthquakes, in Seismic Hazard in Mediterranean Region, 3–34. ed. J. Bonin, M. Cara, M. Cisternas, R. Fantechi, Kluwer Academic Publ.,

  • Allmann, B. P., and P. M. Shearer (2009), Global variations of stress drop for moderate to large earthquakes, J. Geophys. Res., 114, B01310, doi:10.1029/2008JB005821.

  • Anderson, J. G. and Hough, S. E (1984), A model for the shape of the Fourier amplitude spectrum of acceleration at high frequencies. Bull. Seism. Soc. Am., 74, 1969–1993.

  • Anderson, J. G. (1991), A preliminary descriptive model for the distance dependence of the spectral decay parameter in Southern California Bull. Seism. Soc. Am.,81, 2186 2193.

  • Andrews D.J. (1980), A stochastic fault model, 1: Static Case, J. Geophys. Res., 78, 3867–3877.

  • Atkinson, G. (1993), Source spectra for earthquakes in eastern North America, Bull. Seism. Soc. Am. 83, 1778–1798.

  • Atkinson, G. (1996) The High-Frequency Shape of the Source Spectrum for Earthquakes in Eastern and Western Canada, Bull. Seism. Soc. Am. 86, 106–112.

  • Atkinson, G., and W. Silva (1997), Empirical source spectra for California earthquakes, Bull. Seism. Soc. Am. 87, 97–113.

  • Baltay, A., S. Ide, G. Prieto, and G. Beroza (2011) Variability in earthquake stress drop and apparent stress. Geophys. Res. Lett. 38, L06303, doi:10.1029/2011GL046698.

  • Boatwright, J. (1978), Detailed spectral analysis of two small New-York State earthquakes. Bull. Seismol. Soc. Am., 68, 1117–1131.

  • Boore, D.M. and W B. Joyner (1997) Site Amplifications for Generic Rock Sites. Bull. Seismol. Soc. Am., 87, 327–341.

  • Brune, J. N. (1970), Tectonic stress and spectra of seismic shear waves from earthquakes. J.Geophys. Res., 75, 4997–5009.

  • Campillo, M. (1983), Numerical evaluation of the near-field high-frequency radiation from quasi-dynamic circular faults, Bull. Seism. Soc. Am. 73,723–734.

  • Dunham, E.M., Belanger,D., Cong, L., and Kozdon, J.E. (2011), Earthquake ruptures with strongly rate-weakening friction and off-fault plasticity. Part 2: Nonplanar Faults. Bull. Seism. Soc. Am.. 101, 2308–2322, doi: 10.1785/0120100076.

  • Edwards,B. O.-J. Ktenidou, F. Cotton, N. Abrahamson, Ch. Van Houtte and D. Fah (2015). Epistemic uncertainty and limitations of the κ 0 model for near-surface attenuation at hard rock sites. Geophys. J. Int. (2015) 202, 1627–1645 doi: 10.1093/gji/ggv222.

  • Faccioli, E. (1986), A study of strong ground motions from Italy and Yugoslavia in terms of gross source properties. Geophys. Monog., 37, 297–309.

  • Feller, W. An Introduction to Probability Theory and Its Applications, Vol. 1,Ch. XIV,(J.Wiley&Sons, New York, 1957).

  • Fujiwara, H. and Irikura, K. (1991), High-frequency seismic wave radiation from antiplane cohesive zone model and fmax as source effect. Bull. Seism. Soc. Am. 81, 1115–1128.

  • Gusev, A. A. (1983), Descriptive statistical model of earthquake source radiation and its application to an estimation of short period strong motion, Geophys J R Astr Soc, 74, 787–808.

  • Gusev A.A. (1990). On relations between asperity population and earthquake population on a fault. In Extended Abstracts, International symposium on earthquake source physics and earthquake precursors. (University of Tokyo, Tokyo). 140–142.

  • Gusev, A.A. (2013a) High-frequency radiation from an earthquake fault: a review and a hypothesis of fractal rupture front geometry. Pure Appl. Geophys. 170, 65–93. doi:10.1007/s00024-012-0455-y.

  • Gusev, A.A. (2013b) Fractal earthquake source with slip zone generates acceleration time histories with flat spectra. Doklady Earth Sciences, 448, 211–213. (original in Russian: DAN, 2013, 448, 465–467).

  • Gusev, A.A. (2014) Doubly stochastic earthquake source model: “omega-square” spectrum and low high-frequency directivity revealed by numerical experiments. Pure Appl. Geophys. 171, 2581–2599, doi 10.1007/s00024-013-0764-9.

  • Gusev, A. A., and Shumilina L. S. (2000) Modeling the intensity magnitude-distance relation based on the concept of an incoherent extended earthquake source, Vulc. Seis., 21, 443–463 (English edition; original in Russian: 1999, #4–5, 29–40).

  • Gusev A.A. and Guseva E.M. (2012) Testing the applicability of attenuation parameter “kappa” for fast rough estimation of hypocentral distance (using the data of station “Petropavlovsk”). In: Seismological and geophysical observations on Kamchatka. Ch. 15, 397–411. (eds Gordeev E.I. and Chebrov V.N.) (Novaya kniga, Petropavlovsk-Kamchatskii) (in Russian).

  • Gusev A.A., and Guseva E.M. (2016) Shear wave attenuation estimated from spectral decay rate in the vicinity of the Petropavlovsk Station, Kamchatka. Izvestiya, Phys. Solid Earth (in press).

  • Gusev A.A. and Guseva E.M. (2014), Scaling properties of corner frequencies of Kamchatka earthquakes. Doklady Earth Sciences, 2014, 458, 1112–1115. (English edition; original in Russian: DAN, 2014, 458, 88–91).

  • Hanks, T. C. (1982), f max. Bull. Seismol. Soc Am, 72, 1867–1879.

  • Halpin-Healy,T., Zhang Y.-Ch. (1995), Kinetic roughening phenomena, stochastic growth, directed polymers and all that. Physics Reports, 254, 215–414.

  • Heaton, T. H., (1990), Evidence for and implications of self healing pulses of slip in earthquake rupture, Phys. Earth Planet. Inter., 64, 1–20.

  • Iwakiri,K., and Hoshiba, M. (2012), High-frequency (10 Hz) content of the initial fifty seconds of waveforms from the 2011 Off the Pacific Coast of Tohoku earthquake. Bull. Seism. Soc. Am. 102, 2232–2238, doi: 10.1785/0120110241.

  • Izutani, Y. (1984), Source parameters relevant to heterogeneity of a fault plane. J. Phys. Earth, 32, 511–529.

  • Jo, N., and Baag, Ch.-E. (2007) Estimation of site-dependent spectral decay parameter from earthquake ground motions in southern Korea. Geosciences J., 11, 165–174.

  • Joyner, W. B., (1984), A scaling law for the spectra of large earthquakes, Bull. Seism. Soc. Am., 74, 1167–1188.

  • Kanamori, H., and Anderson, D. L. (1975), Theoretical basis of some empirical relations in seismology, Bull. Seism. Soc. Am., 65, 1073–1095.

  • Kilb, D., G. Biasi, J. Anderson, J. Brune, Zh. Peng, and F. L. Vernon (2012) A Comparison of Spectral Parameter Kappa from Small and Moderate Earthquakes Using Southern California ANZA Seismic Network Data. Bull Seism Soc Am, 102, 284–300.

  • Kinoshita, S. (1992), Local characteristics of the f max of bedrock motion in the Tokyo metropolitan area, Japan, J. Phys. Earth. 40, 487–515.

  • Liu, X., and Zhao, D., (2015), Seismic attenuation tomography of the Southwest Japan arc: new insight into subduction dynamics, Geophys. J. Int. 201, 135–156, doi:10.1093/gji/ggv007.

  • Matsu’ura, M., H. Kataoka and B. Shibazaki (1992), Slip-dependent friction law and nucleation processes in earthquake rupture, Tectonophysics, 211, 135–148.

  • Nakajima, J., Sh. Hada, E. Hayami, N. Uchida, A. Hasegawa,Sh. Yoshioka, T. Matsuzawa, and N. Umino (2013), Seismic attenuation beneath northeastern Japan: constraints on mantle dynamics and arc magmatism. J. Geophys.Res., 118, 1–18, doi:10.1002/2013JB010388.

  • Papageorgiou, A. S. and K. Aki. (1983), A specific barrier model for the quantitative description of the inhomogeneous faulting and the prediction of strong ground motion: I. Description of the model. Bull. Seism. Soc. Am., 73, pp. 693–722.

  • Popescu,E., M. Popa and M. Radulian (2003) Efficiency of the spectral ratio method to constrain the source scaling properties of the Vrancea (Romania) subcrustal earthquakes. Romanian Repts. Phys., 55, 149–169.

  • Purvance M. D. and Anderson, J. G. (2003). A comprehensive study of the observed spectral decay in strong-motion accelerations recorded in Guerrero, Mexico Bull. Seismol. Soc. Amer, 2003; 93; 2; 600–611; doi:10.1785/0120020065.

  • Sasatani, T., (1997. Source characteristics of the 1994 Hokkaido Toho-oki earthquake deduced from wide band strong-motion records. J. Fac. Sci. Hokkaido Univ. Ser. VII (Geophys.) 10, 269–293.

  • Satoh, T., Kawase, H., and Sato, T. (1997), Statistical spectral model of earthquakes in the Eastern Tohoku District, Japan, based on the surface and borehole records observed in Sendai. Bull. Seism. Soc. Am., 87, 446–462.

  • Shearer, P.M. (1999) Introduction to Seismology, Cambridge University Press, Cambridge.

  • Stachnik, J. C., G. A. Abers, and D. H. Christensen (2004), Seismic attenuation and mantle wedge temperatures in the Alaska subduction zone, J. Geophys. Res., 109, B10304, doi:10.1029/2004JB003018.

  • Tsai, Ch-Ch.P. (1997), Relationships of seismic source scaling in the Taiwan region, TAO, 8, 49–68.

  • Wen, J., and Chen, X.-F. (2012), Variations in f-max along the ruptured fault during the Mw 7.9 Wenchuan Earthquake of 12 May 2008. Bull. Seism. Soc. Am., 102, 991–998, doi: 10.1785/0120110105.

  • Wu, C. F. J. (1990), On the asymptotic properties of the jackknife histogram. Annals of Statistics, 18, 1438–1452.

  • Yokoi, T., and Ikirura, K. (1991), Meaning of source-controlled Fmax in the empirical Green’s function technique based on ω 2 scaling law. Annuals, Disast.Prev.Res.Inst, Kyoto Univ., No B-1, 177–189.

Download references

Acknowledgments

The study was supported by the grant from the Russian Science Foundation (project #14-17-00621), and was performed at the Kamchatka Branch of the Geophysical Service of Russian Ac. Sci. Valuable comments of A. Baltay and of two anonymous reviewers are appreciated.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. A. Gusev.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gusev, A.A., Guseva, E.M. Source Spectra of Near Kamchatka Earthquakes: Recovering them from S-Wave Spectra, and Determination of Scaling for Three Corner Frequencies. Pure Appl. Geophys. 173, 1539–1557 (2016). https://doi.org/10.1007/s00024-016-1289-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00024-016-1289-9

Keywords

Navigation