On the Frequency-Length Distribution of the San Andreas Fault System

The frequency-length distribution of the San Andreas fault system was analyzed and compared with theoretical distributions. Both density and cumulative distributions were calculated, and errors were estimated. Neither exponential functions nor power laws are consistent with the calculated distributions over the range of studied lengths. The best fit on both density and cumulative distributions was achieved with a gamma function which mixes a power law and an exponential function. At small lengths, the gamma function behaves as a power law with an exponent of −1.3±0.3. At large lengths (above 10km), the distribution is a mixed exponential-power law function with a characteristic length scale of about 23±6 km. The gamma distribution is proposed to result from a length-dependent segmentation of a fractal fault pattern. This study shows the importance of comparing both cumulative and density distributions. It also shows that the studied range of lengths (1–100 km) is not appropriate for measuring power law exponents.

[1]  Gregory B. Baecher,et al.  Probabilistic and statistical methods in engineering geology , 1983 .

[2]  J. Tchalenko The evolution of kink-bands and the development of compression textures in sheared clays , 1968 .

[3]  Patience A. Cowie,et al.  Determination of total strain from faulting using slip measurements , 1990, Nature.

[4]  John B. Rundle,et al.  Derivation of the complete Gutenberg‐Richter magnitude‐frequency relation using the principle of scale invariance , 1989 .

[5]  Agust Gudmundsson Geometry, formation and development of tectonic fractures on the Reykjanes Peninsula, southwest Iceland , 1987 .

[6]  J. Tchalenko Similarities between Shear Zones of Different Magnitudes , 1970 .

[7]  T. Hirata Fractal dimension of fault systems in Japan: Fractal structure in rock fracture geometry at various scales , 1989 .

[8]  Didier Sornette,et al.  Fault growth in brittle‐ductile experiments and the mechanics of continental collisions , 1993 .

[9]  John M. Logan,et al.  Experimental folding and faulting of rocks under confining pressure Part IX. Wrench faults in limestone layers , 1981 .

[10]  D. Sornette,et al.  Some consequences of a proposed fractal nature of continental faulting , 1990, Nature.

[11]  Sornette,et al.  Growth of fractal fault patterns. , 1990, Physical review letters.

[12]  Barbara Romanowicz,et al.  Strike‐slip earthquakes on quasi‐vertical transcurrent faults: Inferences for general scaling relations , 1992 .

[13]  Geoffrey C. P. King,et al.  The accommodation of large strains in the upper lithosphere of the earth and other solids by self-similar fault systems: the geometrical origin of b-Value , 1983 .

[14]  Fractured but not fractal: Fragmentation of the gulf of suez basement , 1989 .

[15]  T. Villemin,et al.  Distribution logarithmique self-similaire des rejets et longueurs de failles: exemple du bassin houiller Lorrain , 1987 .

[16]  Didier Sornette,et al.  Experimental discovery of scaling laws relating fractal dimensions and the length distribution exponent of fault systems , 1992 .

[17]  Paul Segall,et al.  Joint formation in granitic rock of the Sierra Nevada , 1983 .

[18]  P. Sammonds,et al.  Influence of fractal flaw distributions on rock deformation in the brittle field , 1990, Geological Society, London, Special Publications.

[19]  Javier F. Pacheco,et al.  Changes in frequency–size relationship from small to large earthquakes , 1992, Nature.

[20]  C. Basile Analyse structurale et modelisation analogique d'une marge transformante : l'exemple de la marge profonde de cote d'ivoire-ghana , 1990 .

[21]  Randall Marrett,et al.  Estimates of strain due to brittle faulting : sampling of fault populations , 1991 .

[22]  D. L. Turcotte,et al.  A fractal model for crustal deformation , 1986 .