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Determination of the Earthquake Hypocenter: A Challenge for the Differential Evolution Algorithm

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Part of the book series: Natural Computing Series ((NCS))

Abstract

Determination of the earthquake hypocenter represents a basic problem routinely solved in seismology. The problem belongs to the class of simpler problems in geophysics, but it is still difficult to solve. The dimension of the model space is low (three coordinates of the hypocenter plus origin time, resulting in four parameters to be searched for), but the forward problem exhibits a case-to-case-dependent degree of nonlinearity. The standard solution is based on minimizing the time residuals (differences between observed and computed arrivals of seismic waves) in the common L2 norm. We have compiled a set of 56 synthetic earthquake hypocenter location tasks, which was submitted to three different optimizers for solution: (i) Powell’s method, (ii) the downhill simplex algorithm and (iii) the differential evolution (DE) algorithm. Each localization process listed was performed two times using exact and approximate forward modeling. Our analysis has shown that the DE algorithm has worked with 100 % reliability, while other optimizing algorithms have often failed. The accuracy achieved by using the DE algorithm was at least the same or better than that achieved by competing algorithms. The only minor disadvantage of the DE algorithm is a higher computational effort needed to reach the solution.

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References

  • Billings SD (1994) Simulated annealing for earthquake location. Geophysical Journal International 118:680–692

    Google Scholar 

  • Billings SD, Kennett BLN, Sambridge MS (1994) Hypocenter location: genetic algorithms incorporating problem-specific information. Geophysical Journal International 118:693–706

    Google Scholar 

  • Bondar I (1994) Hypocenter determination of local earthquake using genetic algorithm. Acta Geodaetica et Geophysica Hungarica 29:39–56

    Google Scholar 

  • Buland R (1976) The mechanics of locating earthquakes. Bulletin of the Seismology Society of America 66:173–187

    Google Scholar 

  • Červený V, Molotkov IA, Pšenčík I (1977) Ray method in seismology. Charles University Press, Prague

    Google Scholar 

  • Fischer T, Horálek J (2000) Refined locations of the swarm earthquakes in the Nový Kostel focal zone and spatial distribution of the January 1997 swarm in Western Bohemia, Czech Republic. Studia Geophysica et Geodaetica 44:210–226

    Article  Google Scholar 

  • Geiger L (1910) Herdbestimmung der Erdbeben aus den Ankunftzeiten. Der Königlichen Gesellschaft der Wissenschaften zu Göttingen 4:331–349

    Google Scholar 

  • Herrmann RB (1979) FASTHYPO — A hypocentre location program. Earthquake Notes 50:25–37

    Google Scholar 

  • Janský J, Horálek J, Málek J, Boušková A (2000) Homogeneous velocity models of the West Bohemian swarm region obtained by grid search. Studia Geophysica et Geodaetica 44:158–174

    Article  Google Scholar 

  • Klein RW (1978) Hypocenter location program HYPOINVERSE part I: Users guide to versions 1, 2, 3 and 4. US Geological Survey Open-File Report 78-694

    Google Scholar 

  • Lee WHK, Lahr JC (1972) HYPO71: A computer program for determining hypocenter, magnitude, and first motion pattern of local earthquakes. US Geological Survey Open-File Report 75-311

    Google Scholar 

  • Lienert BR, Berg E, Frazer LN (1986) HYPOCENTER: An earthquake location method using centered, scaled, and adaptively damped least squares. Bulletin of the Seismology Society of America 76:771–783

    Google Scholar 

  • Nelder JA, Mead R (1965) A simplex method for function minimization. Computer Journal 7:308–313

    Google Scholar 

  • Olsson DM, Nelson LS (1975) The Nelder-Mead simplex procedure for function minimization. Technometrics 17:45–51

    Article  Google Scholar 

  • Press WH, Teukolsky SA, Vetterling WT, Flannery BP (1992) Numerical recipes in C: The art of scientific computing, 2nd ed. Cambridge University Press

    Google Scholar 

  • Price K, Storn R (1997) Differential evolution. Dr. Dobb’s Journal April:18–24

    Google Scholar 

  • Rabinowitz N (1988) Microearthquake location by means of nonlinear simplex procedure. Bulletin of the Seismology Society of America 78:380–384

    Google Scholar 

  • Růžek B, Kvasnička M (2001) Differential evolution algorithm in the earthquake hypocenter location. Pure and Applied Geophysics 158:667–693

    Article  Google Scholar 

  • Sambridge M, Gallagher K (1993) Earthquake hypocenter location using genetic algorithm. Bulletin of the Seismology Society of America 83:1467–1491

    Google Scholar 

  • Sambridge MS, Kennett BLN (1986) A novel method of hypocenter location. Geophysical Journal of the Royal Astronomical Society 87:679–697

    Google Scholar 

  • Shearer PM (1997) Improving local earthquake locations using the L1 norm and waveform cross correlation: Application to the Whittier Narrows, California, aftershock sequence. Journal of Geophysics Research 102:8269–8283

    Article  Google Scholar 

  • Storn R, Price K (1997) Differential evolution — a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization 11:241–354

    Article  MathSciNet  Google Scholar 

  • Tarvainen M, Tiira T, Husebye ES (1999) Locating regional seismic events with global optimization based on interval arithmetic. Geophysics Joural International 138:879–885

    Article  Google Scholar 

  • Tselentis GA, Melis NS, Sokos E, Papatsimpa K (1996) The Egion June 15, 1995 (6.2 ML) earthquake, Western Greece. PAGEOPH 147(1):83–97

    Article  Google Scholar 

  • Xie Z, Spencer TW, Rabinowitz PD, Fahlquist DA (1996) A new regional hypocenter location method. Bulletin of the Seismology Society of America 86:946–958

    Google Scholar 

Download references

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© 2005 Springer-Verlag Berlin Heidelberg

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Růžek, B., Kvasnička, M. (2005). Determination of the Earthquake Hypocenter: A Challenge for the Differential Evolution Algorithm. In: Differential Evolution. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31306-0_11

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  • DOI: https://doi.org/10.1007/3-540-31306-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20950-8

  • Online ISBN: 978-3-540-31306-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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