Decomposing spatio-temporal seismicity patterns.

Goltz, Christian (2001) Decomposing spatio-temporal seismicity patterns. Open Access Natural Hazards and Earth System Sciences, 1 (1/2). pp. 83-92. DOI 10.5194/nhess-1-83-2001.

nhess-1-83-2001.pdf - Published Version
Available under License Creative Commons Attribution.

Download (9Mb) | Preview

Supplementary data:


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.

Document Type: Article
Research affiliation: OceanRep > SFB 574
OceanRep > SFB 574 > A2
Kiel University
Refereed: Yes
Open Access Journal?: Yes
DOI etc.: 10.5194/nhess-1-83-2001
ISSN: 1561-8633
Contribution Number:
SFB 5744
Date Deposited: 07 Apr 2010 11:42
Last Modified: 01 Aug 2019 10:40

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...