Strain rate patterns from dense GPS networks
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...
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fttriple:oai:gotriple.eu:oai:doaj.org/article:37271d255167494b82b18f6b64ebac25 2023-05-15T16:50:38+02:00 Strain rate patterns from dense GPS networks M. Hackl R. Malservisi S. Wdowinski 2009-07-01 http://www.nat-hazards-earth-syst-sci.net/9/1177/2009/nhess-9-1177-2009.pdf https://doaj.org/article/37271d255167494b82b18f6b64ebac25 en eng Copernicus Publications 1561-8633 1684-9981 http://www.nat-hazards-earth-syst-sci.net/9/1177/2009/nhess-9-1177-2009.pdf https://doaj.org/article/37271d255167494b82b18f6b64ebac25 undefined Natural Hazards and Earth System Sciences, Vol 9, Iss 4, Pp 1177-1187 (2009) geo manag Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2009 fttriple 2023-01-22T18:58:47Z 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. Article in Journal/Newspaper Iceland Unknown |
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English |
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geo manag |
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geo manag M. Hackl R. Malservisi S. Wdowinski Strain rate patterns from dense GPS networks |
topic_facet |
geo manag |
description |
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. |
format |
Article in Journal/Newspaper |
author |
M. Hackl R. Malservisi S. Wdowinski |
author_facet |
M. Hackl R. Malservisi S. Wdowinski |
author_sort |
M. Hackl |
title |
Strain rate patterns from dense GPS networks |
title_short |
Strain rate patterns from dense GPS networks |
title_full |
Strain rate patterns from dense GPS networks |
title_fullStr |
Strain rate patterns from dense GPS networks |
title_full_unstemmed |
Strain rate patterns from dense GPS networks |
title_sort |
strain rate patterns from dense gps networks |
publisher |
Copernicus Publications |
publishDate |
2009 |
url |
http://www.nat-hazards-earth-syst-sci.net/9/1177/2009/nhess-9-1177-2009.pdf https://doaj.org/article/37271d255167494b82b18f6b64ebac25 |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Natural Hazards and Earth System Sciences, Vol 9, Iss 4, Pp 1177-1187 (2009) |
op_relation |
1561-8633 1684-9981 http://www.nat-hazards-earth-syst-sci.net/9/1177/2009/nhess-9-1177-2009.pdf https://doaj.org/article/37271d255167494b82b18f6b64ebac25 |
op_rights |
undefined |
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1766040765955309568 |