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dc.contributor.author Tiampo K.F.
dc.contributor.author Rundle J.B.
dc.contributor.author Holliday J.R.
dc.contributor.author Klein W.
dc.date.accessioned 2025-03-29T04:40:29Z
dc.date.available 2025-03-29T04:40:29Z
dc.date.issued 2006
dc.identifier https://elibrary.ru/item.asp?id=13810390
dc.identifier.citation Tectonophysics, 2006, 424, 3-4, 367-376
dc.identifier.issn 0040-1951
dc.identifier.uri https://repository.geologyscience.ru/handle/123456789/48671
dc.description.abstract The Pattern Informatics (PI) technique [Tiampo, K.F., Rundle, J.B., McGinnis, S., Gross, S., Klein, W., 2002. Mean-field threshold systems and phase dynamics: An application to earthquake fault systems, Europhys. Lett., 60, 481-487] is founded on the premise that changes in the seismicity rate are a proxy for changes in the underlying stress. This new approach to the study of seismicity quantifies its local and regional space-time patterns and identifies regions of local quiescence or activation. Here we use a modification of the PI method to quantify localized changes surrounding the epicenters of large earthquakes in California in an attempt to objectively quantify the rupture zones of these upcoming events. We show that this method can be used to forecast the size and magnitude of future earthquakes. © 2006 Elsevier B.V. All rights reserved.
dc.subject EARTHQUAKE PHYSICS
dc.subject SEISMIC HAZARD
dc.subject SEISMICITY
dc.subject STRESS
dc.title FORECASTING RUPTURE DIMENSION USING THE PATTERN INFORMATICS TECHNIQUE
dc.type Статья
dc.identifier.doi 10.1016/j.tecto.2006.03.047


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