Earthquake source parameter determination using genetic algorithms

Determination of earthquake source parameters is a non-linear and multi-dimensional problem in which trade-off problems between the parameters can be significant and complicated. Accordingly global optimization is desirable to find the best fit parameters in a large model parameter space. We apply Genetic Algorithms (GA) to search for optimal source parameters in a multiparameter space. Results show that the GA method can rapidly explore a large multiparameter model space and find optimal solutions for the source parameters with a relatively small number of function evaluations. Results with the data of the 1988 Nepal-India border earthquake indicate that GA determined source parameters better explain the observed waveforms.

[1]  Hiroo Kanamori,et al.  Mode of the strain release along the Gibbs fracture zone, Mid-Atlantic ridge , 1976 .

[2]  Reiji Kobayashi,et al.  Application of genetic algorithms to focal mechanism determination , 1994 .

[3]  Donald V. Helmberger,et al.  Source Estimation from Broadband Regional Seismograms , 1994 .

[4]  Side Jin,et al.  Background velocity inversion with a genetic algorithm , 1993 .

[5]  M. Sambridge,et al.  Genetic algorithms in seismic waveform inversion , 1992 .

[6]  N. A. Haskell.  Crustal reflection of plane P and SV waves , 1962 .

[7]  R. K. Verma,et al.  Analysis of the gravity field in the Nepalese Himalayas-Tibetan region in the light of plate tectonics , 1988 .

[8]  M. Wyss,et al.  Inversion for source parameters from sparse data sets: Test of the method and application to the 1951 (M=6.9) Kona, Hawaii, earthquake , 1994 .

[9]  H. Gupta,et al.  Source dynamics of two great earthquakes of the Indian subcontinent: The Bihar-Nepal earthquake of January 15, 1934 and the Quetta earthquake of May 30, 1935 , 1980 .

[10]  N. A. Haskell,et al.  Crustal Reflection of Plane SH Waves , 1960 .

[11]  Paul L. Stoffa,et al.  Application of genetic algorithms to constrain near-source velocity structure for the 1989 Sichuan earthquakes , 1995, Bulletin of the Seismological Society of America.

[12]  Mrinal K. Sen,et al.  Rapid sampling of model space using genetic algorithms: examples from seismic waveform inversion , 1992 .

[13]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[14]  R. K. Verma,et al.  Seismicity and the nature of plate movement along the Himalayan arc, Northeast India and Arakan-Yoma: a review , 1987 .

[15]  Charles A. Langston,et al.  Source inversion of seismic waveforms: The Koyna, India, earthquakes of 13 September 1967 , 1981 .

[16]  B. Kennett,et al.  Earthquake location genetic algorithms for teleseisms , 1992 .

[17]  Mrinal K. Sen,et al.  Nonlinear multiparameter optimization using genetic algorithms; inversion of plane-wave seismograms , 1991 .