Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

New method of estimating regional stress orientations: Application to focal mechanism data of recent British earthquakes

Lisle, Richard John 1992. New method of estimating regional stress orientations: Application to focal mechanism data of recent British earthquakes. Geophysical Journal International 110 (2) , pp. 276-282. 10.1111/j.1365-246X.1992.tb00873.x

This is the latest version of this item.

[img]
Preview
PDF - Published Version
Download (584kB) | Preview

Abstract

It is demonstrated how a recently devised graphical method for estimating palaeostresses from exposed striated fault planes can be adapted for use with earthquake focal mechanism data. Provided the data set includes one or more earthquakes for which the fault plane can be identified, the principal stress directions can be determined more precisely than by using the alternative Right Dihedra method. Using the new so-called Right Trihedra method stress directions are found which are compatible with recent British earthquakes. The method can also be used, in the case of some focal mechanisms, to resolve the ambiguity regarding which focal plane corresponds to the fault plane.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Earth and Ocean Sciences
Subjects: Q Science > QE Geology
Uncontrolled Keywords: earthquake mechanism; inversion; stereographic method; stress axes
Additional Information: Pdf uploaded in accordance with publisher's policy at http://www.sherpa.ac.uk/romeo/issn/0956-540X/ (accessed 19/02/2014).
Publisher: Royal Astronomical Society
ISSN: 0956-540X
Date of First Compliant Deposit: 30 March 2016
Last Modified: 04 Jun 2017 02:10
URI: http://orca-mwe.cf.ac.uk/id/eprint/10456

Available Versions of this Item

  • New method of estimating regional stress orientations: Application to focal mechanism data of recent British earthquakes. (deposited 04 Oct 2011 14:17) [Currently Displayed]

Citation Data

Cited 36 times in Google Scholar. View in Google Scholar

Cited 22 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics