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| Titel |
Strain rate patterns from dense GPS networks |
| VerfasserIn |
M. Hackl, R. Malservisi, S. Wdowinski |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 9, no. 4 ; Nr. 9, no. 4 (2009-07-17), S.1177-1187 |
| Datensatznummer |
250006881
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| Publikation (Nr.) |
 copernicus.org/nhess-9-1177-2009.pdf |
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| Zusammenfassung |
| The knowledge of the crustal strain rate tensor provides a description of
geodynamic processes such as fault strain accumulation, which is an important
parameter for seismic hazard assessment, as well as anthropogenic
deformation. In the past two decades, the number of observations and the
accuracy of satellite based geodetic measurements like GPS greatly increased,
providing measured values of displacements and velocities of points. Here we
present a method to obtain the full continuous strain rate tensor from dense
GPS networks. The tensorial analysis provides different aspects of
deformation, such as the maximum shear strain rate, including its direction,
and the dilatation strain rate. These parameters are suitable to characterize
the mechanism of the current deformation. Using the velocity fields provided
by SCEC and UNAVCO, we were able to localize major active faults in Southern
California and to characterize them in terms of faulting mechanism. We also
show that the large seismic events that occurred recently in the study region
highly contaminate the measured velocity field that appears to be strongly
affected by transient postseismic deformation. Finally, we applied this
method to coseismic displacement data of two earthquakes in Iceland, showing
that the strain fields derived by these data provide important information on
the location and the focal mechanism of the ruptures. |
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