Method to find the Minimum 1D Linear Gradient Model for Seismic Tomography

Smaglichenko, Tatyana A.; Bjarnason, Ingi Þorleifur; Smaglichenko, Alexander V.; Jacoby, Wolfgang R.

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Method to find the Minimum 1D Linear Gradient Model for Seismic Tomography

Title:	Method to find the Minimum 1D Linear Gradient Model for Seismic Tomography
Author:	Smaglichenko, Tatyana A. Bjarnason, Ingi Þorleifur orcid.org/0000-0001-5716-7053 Smaglichenko, Alexander V. Jacoby, Wolfgang R. 4 authors Show fewer authors
Date:	2016-09-13
Language:	English
Scope:	211-217
University/Institute:	Háskóli Íslands University of Iceland
School:	Verkfræði- og náttúruvísindasvið (HÍ) School of Engineering and Natural Sciences (UI)
Department:	Jarðvísindastofnun (HÍ) Institute of Earth Sciences (UI)
Series:	Fundamenta Informaticae;146(2)
ISSN:	0169-2968
DOI:	10.3233/FI-2016-1382
Subject:	Local earthquake tomography; Minimum 1D model; Linear gradient of velocity; Jarðskjálftar; Jarðskjálftamælingar; Líkön
URI:	https://hdl.handle.net/20.500.11815/2543
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Citation: Smaglichenko, T. A., Bjarnason, I. T., Smaglichenko, A. V., & Jacoby, W. R. (2016). Method to find the Minimum 1D Linear Gradient Model for Seismic Tomography. Fundamenta Informaticae, 146, 211-217. doi:10.3233/FI-2016-1382
Abstract: The changes in the state of a geophysical medium before a strong earthquake can be found by studying of 3D seismic velocity images constructed for consecutive time windows. A preliminary step is to see changes with time in a minimum 1D model. In this paper we develop a method that finds the parameters of the minimum linear gradient model by applying a two-dimensional Taylor series of the observed data for the seismic ray and by performing least-square minimization for all seismic rays. This allows us to obtain the mean value of the discrete observed variable, close to zero value.