Title: Updated Determination of Stress Parameters for Nine Well-Recorded Earthquakes in Eastern North America
Abstract:Research Article| January 01, 2012 Updated Determination of Stress Parameters for Nine Well-Recorded Earthquakes in Eastern North America David M. Boore David M. Boore U.S. Geological Survey MS 977 34...Research Article| January 01, 2012 Updated Determination of Stress Parameters for Nine Well-Recorded Earthquakes in Eastern North America David M. Boore David M. Boore U.S. Geological Survey MS 977 345 Middlefield Road Menlo Park, California 94025 [email protected] U.S. Geological Survey Search for other works by this author on: GSW Google Scholar Seismological Research Letters (2012) 83 (1): 190–199. https://doi.org/10.1785/gssrl.83.1.190 Article history first online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation David M. Boore; Updated Determination of Stress Parameters for Nine Well-Recorded Earthquakes in Eastern North America. Seismological Research Letters 2012;; 83 (1): 190–199. doi: https://doi.org/10.1785/gssrl.83.1.190 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentBy SocietySeismological Research Letters Search Advanced Search Abstract Stress parameters (Δσ) are determined for nine relatively well-recorded earthquakes in eastern North America for ten attenuation models. This is an update of a previous study by Boore et al. (2010). New to this paper are observations from the 2010 Val des Bois earthquake, additional observations for the 1988 Saguenay and 2005 Riviere du Loup earthquakes, and consideration of six attenuation models in addition to the four used in the previous study. As in that study, it is clear that Δσ depends strongly on the rate of geometrical spreading (as well as other model parameters). The observations necessary to determine conclusively which attenuation model best fits the data are still lacking. At this time, a simple 1/R model seems to give as good an overall fit to the data as more complex models. You do not currently have access to this article.Read More
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 12
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