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<http://episodesplatform.eu/eprints/id/eprint/1284> <http://purl.org/dc/terms/title> "Segmentation of fault networks determined from spatial clustering of earthquakes"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://episodesplatform.eu/eprints/id/eprint/1284> <http://purl.org/ontology/bibo/abstract> "We present a new method of data clustering applied to earthquake catalogs, with the\ngoal of reconstructing the seismically active part of fault networks. We first use an\noriginal method to separate clustered events from uncorrelated seismicity using the\ndistribution of volumes of tetrahedra defined by closest neighbor events in the original\nand randomized seismic catalogs. The spatial disorder of the complex geometry of fault\nnetworks is then taken into account by defining faults as probabilistic anisotropic kernels.\nThe structure of those kernels is motivated by properties of discontinuous tectonic\ndeformation and by previous empirical observations of the geometry of faults and of\nearthquake clusters at many spatial and temporal scales. Combining this a priori\nknowledge with information theoretical arguments, we propose the Gaussian mixture\napproach implemented in an expectation maximization (EM) procedure. A cross ‐ validation\nscheme is then used that allows the determination of the number of kernels which provides an\noptimal data clustering of the catalog. This three ‐ step approach is applied to a high ‐ quality\ncatalog of relocated seismicity following the 1986 Mount Lewis (M l = 5.7) event in\nCalifornia. It reveals that events cluster along planar patches of about 2 km\n2, i.e.,\ncomparable to the size of the main event. The finite thickness of those clusters (about\n290 m) suggests that events do not occur on well ‐ defined and smooth Euclidean fault\ncore surfaces but rather that there exist a deforming area and a damage zone surrounding\nfaults which may be seismically active at depth. Finally, we propose a connection\nbetween our methodology and multiscale spatial analysis, based on the derivation of a\nspatial fractal dimension of about 1.8 for the set of hypocenters in the Mount Lewis area,\nconsistent with recent observations on relocated catalogs."^^<http://www.w3.org/2001/XMLSchema#string> .
<http://episodesplatform.eu/eprints/id/eprint/1284> <http://purl.org/dc/terms/date> "2011-02-09" .
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<https://episodesplatform.eu/eprints/1284/> <http://purl.org/dc/elements/1.1/title> "HTML Summary of #1284 \n\nSegmentation of fault networks determined from spatial clustering of earthquakes\n\n" .
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