scholarly journals Seismicity patterns in southwestern France

2021 ◽  
Vol 353 (S1) ◽  
pp. 1-26
Author(s):  
Matthieu Sylvander ◽  
Alexis Rigo ◽  
Guy Sénéchal ◽  
Jean Battaglia ◽  
Sébastien Benahmed ◽  
...  
Keyword(s):  
Seismicity Patterns

scholarly journals Decomposing spatio-temporal seismicity patterns

2001 ◽  
Vol 1 (1/2) ◽  
pp. 83-92 ◽  
Author(s):  
C. Goltz
Keyword(s):  
Spatial And Temporal Variability ◽  
Seismicity Patterns ◽  
Seismicity Rate ◽  
Potential Applications ◽  
Time Series Approach ◽  
Distributed Process ◽  
Sample Application ◽  
Components Analysis ◽  
Spatio Temporal ◽  
Large Earthquakes

Abstract. Seismicity is a distributed process of great spatial and temporal variability and complexity. Efforts to characterise and describe the evolution of seismicity patterns have a long history. Today, the detection of changes in the spatial distribution of seismicity is still regarded as one of the most important approaches in monitoring and understanding seismicity. The problem of how to best describe these spatio-temporal changes remains, also in view of the detection of possible precursors for large earthquakes. In particular, it is difficult to separate the superimposed effects of different origin and to unveil the subtle (precursory) effects in the presence of stronger but irrelevant constituents. I present an approach to the latter two problems which relies on the Principal Components Analysis (PCA), a method based on eigen-structure analysis, by taking a time series approach and separating the seismicity rate patterns into a background component and components of change. I show a sample application to the Southern California area and discuss the promising results in view of their implications, potential applications and with respect to their possible precursory qualities.

scholarly journals On dynamics of seismicity simulated by the models of blocks-and-faults systems

1997 ◽  
Vol 40 (5) ◽  
Author(s):  
A. I. Gorshkov ◽  
V. I. Keilis-Borok ◽  
I. M. Rotwain ◽  
A. A. Soloviev ◽  
I. A. Vorobieva
Keyword(s):  
Numerical Simulation ◽  
Earthquake Prediction ◽  
Driving Forces ◽  
Block Structure ◽  
Seismicity Patterns ◽  
Strong Earthquakes ◽  
Structure Dynamics ◽  
Prediction Algorithms ◽  
The Media

The major results obtained by numerical simulation of block structure dynamics are juxtaposed and analysed: the possibilities to reconstruct tectonic driving forces from territorial distribution of seismicity, clustering of earthquakes in the model, and dependence of the occurrence of strong earthquakes on fragmentation of the media, and on rotation of blocks. These results show that modelling of block structure dynamics is a useful tool to study relations between the geometry of faults and block movements and earthquake flow, including premonitory seismicity patterns, to test the existing earthquake prediction algorithms, and to develop new ones.

Introduction to special issue: Dynamics of seismicity patterns and earthquake triggering

2006 ◽  
Vol 424 (3-4) ◽  
pp. 135-138 ◽  
Author(s):  
Sebastian Hainzl ◽  
Gert Zöller ◽  
Ian Main
Keyword(s):  
Special Issue ◽  
Earthquake Triggering ◽  
Seismicity Patterns

Identifying seismicity patterns leading flank eruptions at Mt. Etna Volcano during 1981-1996

1999 ◽  
Vol 26 (14) ◽  
pp. 2105-2108 ◽  
Author(s):  
Vito Latora ◽  
Sergio Vinciguerra ◽  
Silvio Bicciato ◽  
Roy T. Kamimura
Keyword(s):  
Etna Volcano ◽  
Seismicity Patterns ◽  
Mt Etna ◽  
Flank Eruptions
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