English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Seismic quiescence as an indicator for large earthquakes in a system of self-organized criticality

Authors
/persons/resource/hainzl

Hainzl,  Sebastian
2.1 Physics of Earthquakes and Volcanoes, 2.0 Physics of the Earth, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Zöller,  G.
External Organizations;

Kurths,  J.
External Organizations;

/persons/resource/zschau

Zschau,  Jochen
2.1 Physics of Earthquakes and Volcanoes, 2.0 Physics of the Earth, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

Hainzl, S., Zöller, G., Kurths, J., Zschau, J. (2000): Seismic quiescence as an indicator for large earthquakes in a system of self-organized criticality. - Geophysical Research Letters, 27, 5, 597-600.


https://gfzpublic.gfz-potsdam.de/pubman/item/item_226185
Abstract
Abstract: Seismically active fault systems may be in a state of self-organized criticality (SOC). Investigations of simple SOC models have suggested that earthquakes might be inherently unpredictable. In this paper, we analyse the question of predictability in a more complex and realistic SOC model, which consists of a spring-block system with transient creep characteristics. Additionally to the power law distribution of earthquake sizes, this model reproduces also foreshock and aftershock sequences. Aside from a short-term increase of seismicity immediately prior to large model earthquakes, these events are preceded on average by an intermediate-term period of reduced seismicity. The stronger and the longer the duration of this period, the larger on average is the subsequent main shock. We find that the detection of seismic quiescence can improve the time-independent hazard assessment. The improvement is most significant for the largest target events.