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Titel |
Nonlinear multidimensional scaling and visualization of earthquake clusters over space, time and feature space |
VerfasserIn |
W. Dzwinel, D. A. Yuen, K. Boryczko, Y. Ben-Zion, S. Yoshioka, T. Ito |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1023-5809
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Digitales Dokument |
URL |
Erschienen |
In: Nonlinear Processes in Geophysics ; 12, no. 1 ; Nr. 12, no. 1 (2005-01-28), S.117-128 |
Datensatznummer |
250010385
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Publikation (Nr.) |
copernicus.org/npg-12-117-2005.pdf |
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Zusammenfassung |
We present a novel technique based on a multi-resolutional clustering and
nonlinear multi-dimensional scaling of earthquake patterns to investigate
observed and synthetic seismic catalogs. The observed data represent seismic
activities around the Japanese islands during 1997-2003. The synthetic data
were generated by numerical simulations for various cases of a heterogeneous
fault governed by 3-D elastic dislocation and power-law creep. At the
highest resolution, we analyze the local cluster structures in the data
space of seismic events for the two types of catalogs by using an
agglomerative clustering algorithm. We demonstrate that small magnitude
events produce local spatio-temporal patches delineating neighboring large
events. Seismic events, quantized in space and time, generate the
multi-dimensional feature space characterized by the earthquake parameters.
Using a non-hierarchical clustering algorithm and nonlinear
multi-dimensional scaling, we explore the multitudinous earthquakes by
real-time 3-D visualization and inspection of the multivariate clusters. At
the spatial resolutions characteristic of the earthquake parameters, all of
the ongoing seismicity both before and after the largest events accumulates
to a global structure consisting of a few separate clusters in the feature
space. We show that by combining the results of clustering in both low and
high resolution spaces, we can recognize precursory events more precisely
and unravel vital information that cannot be discerned at a single
resolution. |
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