1997
DOI: 10.1029/96jb03739
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A method for determining significant structures in a cloud of earthquakes

Abstract: Abstract. The interpretation of a cloud of earthquake hypocenters in terms of causative structures is not a simple task. Locations are subject to uncertainties, which will not be the same for every earthquake. The data should therefore not be interpreted simply by inspection, which is difficult in the case of three-dimensional data anyway. Instead, we propose using the location uncertainties as a guide in processing the data. Earthquake locations are moved inside their uncertainty or confidence ellipsoids unti… Show more

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Cited by 143 publications
(108 citation statements)
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“…Hypocenters typically cluster into well-defined smallscale geometrical patterns (e.g. Philips et al, 2002) and the enhanced use of such data sets has made significant progress in recent years applying location collapsing methods (Jones and Stewart, 1997) as well as relative relocation techniques (Waldhauser and Ellsworth, 2000).…”
Section: Discussionmentioning
confidence: 99%
“…Hypocenters typically cluster into well-defined smallscale geometrical patterns (e.g. Philips et al, 2002) and the enhanced use of such data sets has made significant progress in recent years applying location collapsing methods (Jones and Stewart, 1997) as well as relative relocation techniques (Waldhauser and Ellsworth, 2000).…”
Section: Discussionmentioning
confidence: 99%
“…The orientations of Fenton Hill planes found with this technique are consistent with known stress fields. The collapsing method (Jones and Stewart, 1997) shifts hypocenters toward the center of mass of nearby events and is able to resolve numerous geometrical features that are otherwise obscured by location error. This method has been generalized into a joint hypocenter (JHD) method (Fehler et al, 2000).…”
Section: Soultz-sous-forêts Francementioning
confidence: 99%
“…The method of Jones and Stewart [1997] moves events with overlapping uncertainty ellipsoids within their individual uncertainty ellipsoids towards the centroid of all overlapping events in an iterative process that results in the simplest pattern of events that is still consistent with the location and confidence ellipsoid data. This method reduces the smearing effects due to pick uncertainty and errors in the velocity model on a cloud of events, while not formally increasing the absolute location accuracy.…”
Section: Data Processing and Resultsmentioning
confidence: 99%