Detecting premonitory seismicity patterns based on critical point dynamics

We test the hypothesis that critical point dynamics precedes strong earthquakes in a region surrounding the future hypocenter. Therefore, we search systematically for regions obeying critical point dynamics in terms of a growing spatial correlation length (GCL). The question of whether or not t...

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Main Authors: G. Zöller, S. Hainzl
Format: Article
Language:English
Published: Copernicus Publications 2001-01-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/1/93/2001/nhess-1-93-2001.pdf
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spelling doaj-4b222f434dad4314aecfcab2a714cf8a2020-11-25T00:56:26ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812001-01-0111/29398Detecting premonitory seismicity patterns based on critical point dynamicsG. ZöllerS. HainzlS. HainzlWe test the hypothesis that critical point dynamics precedes strong earthquakes in a region surrounding the future hypocenter. Therefore, we search systematically for regions obeying critical point dynamics in terms of a growing spatial correlation length (GCL). The question of whether or not these spatial patterns are correlated with future seismicity is crucial for the problem of predictability. The analysis is conducted for earthquakes with <i>M</i> <u>></u> 6.5 in California. As a result, we observe that GCL patterns are correlated with the distribution of future seismicity. In particular, there are clear correlations in some cases, e.g. the 1989 Loma Prieta earthquake and the 1999 Hector Mine earthquake. We claim that the critical point concept can improve the seismic hazard assessment.http://www.nat-hazards-earth-syst-sci.net/1/93/2001/nhess-1-93-2001.pdf
collection DOAJ
language English
format Article
sources DOAJ
author G. Zöller
S. Hainzl
S. Hainzl
spellingShingle G. Zöller
S. Hainzl
S. Hainzl
Detecting premonitory seismicity patterns based on critical point dynamics
Natural Hazards and Earth System Sciences
author_facet G. Zöller
S. Hainzl
S. Hainzl
author_sort G. Zöller
title Detecting premonitory seismicity patterns based on critical point dynamics
title_short Detecting premonitory seismicity patterns based on critical point dynamics
title_full Detecting premonitory seismicity patterns based on critical point dynamics
title_fullStr Detecting premonitory seismicity patterns based on critical point dynamics
title_full_unstemmed Detecting premonitory seismicity patterns based on critical point dynamics
title_sort detecting premonitory seismicity patterns based on critical point dynamics
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2001-01-01
description We test the hypothesis that critical point dynamics precedes strong earthquakes in a region surrounding the future hypocenter. Therefore, we search systematically for regions obeying critical point dynamics in terms of a growing spatial correlation length (GCL). The question of whether or not these spatial patterns are correlated with future seismicity is crucial for the problem of predictability. The analysis is conducted for earthquakes with <i>M</i> <u>></u> 6.5 in California. As a result, we observe that GCL patterns are correlated with the distribution of future seismicity. In particular, there are clear correlations in some cases, e.g. the 1989 Loma Prieta earthquake and the 1999 Hector Mine earthquake. We claim that the critical point concept can improve the seismic hazard assessment.
url http://www.nat-hazards-earth-syst-sci.net/1/93/2001/nhess-1-93-2001.pdf
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AT shainzl detectingpremonitoryseismicitypatternsbasedoncriticalpointdynamics
AT shainzl detectingpremonitoryseismicitypatternsbasedoncriticalpointdynamics
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