Microseismicity data forecast rupture area

Danijel Schorlemmer () and Stefan Wiemer
Additional contact information
Danijel Schorlemmer: Swiss Seismological Service, ETH Zürich
Stefan Wiemer: Swiss Seismological Service, ETH Zürich

Nature, 2005, vol. 434, issue 7037, 1086-1086

Abstract: The where, not the when At 10:15 PDT on the morning of 28 September 2004, a magnitude 6.0 earthquake struck Parkfield on the San Andreas Fault in California. This is one of the most intensively monitored seismically active regions, so here was a chance to test ideas on earthquake prediction. Danijel Schorlemmer and Stefan Wiemer of the Swiss Seismological Service analysed size distribution of micro-earthquakes in the decades before the main shock, and found that the data provide an accurate forecast of the eventual rupture area. This approach might improve hazard assessment on well monitored faults by predicting the location and size of events, but timing remains unpredictable.

Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.nature.com/articles/4341086a Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:434:y:2005:i:7037:d:10.1038_4341086a

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/4341086a

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().