1991
DOI: 10.2172/5610347
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Fault zone structure determined through the analysis of earthquake arrival times

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Cited by 16 publications
(19 citation statements)
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“…An averaging vector is a row in the resolution matrix. Where the density of seismic rays is high within the model we expect good resolution and small values of the spread function [Michelini, 1991 ].…”
Section: Preferred Vp Modelmentioning
confidence: 97%
See 1 more Smart Citation
“…An averaging vector is a row in the resolution matrix. Where the density of seismic rays is high within the model we expect good resolution and small values of the spread function [Michelini, 1991 ].…”
Section: Preferred Vp Modelmentioning
confidence: 97%
“…The smaller the damping, the higher the resolution and the larger the average standard error is ( Figures A4e and A4f) In general, the damping for the Ve models is higher than for the Ve/Vs models simply because the P data set is bigger than the S-P data set. The S-P data are of inherently lower quality than the P data because some stations only have a parameter has a small resolving width, while less welldefined parameters have broad kernel shapes and small overall values of the resolving kernel [Michelini, 1991 ]. An averaging vector is a row in the resolution matrix.…”
Section: Preferred Vp Modelmentioning
confidence: 99%
“…The event is located using a program developed by Michelini (1991) which can also be used to perform a simultaneous inversion for location and velocity model. At this point, the program is used only to determine the location of the event.…”
Section: Discussionmentioning
confidence: 99%
“…Thurber, 1983;Eberhart-Phillips, 1989;Michelini andMcEvilly, 1991, Michelini, 1991) have advanced during the . past decade to a degree that makes it possible to define major subsurface lithologic inhomogeneities along well-instrumented active fault zones to a resolution of a few kni.…”
Section: -Fault Zone Imaging Using Three-dimensional Earthquake Tomogmentioning
confidence: 99%
“…Information on sub-surface lithology interpreted from the Lorna Prieta and Parkfield three-dimensional crustal velocity models computed by Michelini (1991) is integra~ed with information on slip behavior provided by the distributions of earthquakes located using the three-dimensional models and by surface creep data to study the relationships between large-scale lithological heterogeneity and slip segmentation along these two sections of the fault zone. The velocity models are calibrated using published velocitypressure and velocity-temperature data for basement rock types that outcrop within the study areas, and both models are in good agreement with published refraction surveys.…”
mentioning
confidence: 99%