Probabilistic point source inversion of strong-motion data in 3-D media using pattern recognition: A case study for the 2008 M w 5.4 Chino Hills earthquake
-
Altmetric Citations
Kaufl, Paul; Valentine, Andrew; Trampert, Jeannot
Description
Despite the ever increasing availability of computational power, real-time source inversions based on physical modeling of wave propagation in realistic media remain challenging. We investigate how a nonlinear Bayesian approach based on pattern recognition and synthetic 3-D Green's functions can be used to rapidly invert strong-motion data for point source parameters by means of a case study for a fault system in the Los Angeles Basin. The probabilistic inverse mapping is represented in compact...[Show more]
Collections | ANU Research Publications |
---|---|
Date published: | 2016 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/152677 |
Source: | Geophysical Research Letters |
DOI: | 10.1002/2016GL069887 |
Access Rights: | Open Access |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
01_Kaufl_Probabilistic_point_source_2016.pdf | 609.53 kB | Adobe PDF |
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator