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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dc.contributor	Háskóli Íslands
dc.contributor	University of Iceland
dc.contributor.author	Smaglichenko, Tatyana A.
dc.contributor.author	Bjarnason, Ingi Þorleifur
dc.contributor.author	Smaglichenko, Alexander V.
dc.contributor.author	Jacoby, Wolfgang R.
dc.date.accessioned	2021-04-14T10:09:18Z
dc.date.available	2021-04-14T10:09:18Z
dc.date.issued	2016-09-13
dc.identifier.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
dc.identifier.issn	0169-2968
dc.identifier.uri	https://hdl.handle.net/20.500.11815/2543
dc.description.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.
dc.description.sponsorship	This research was supported by the Icelandic Research Fund RANNIS ID: 152432-051.
dc.format.extent	211-217
dc.language.iso	en
dc.publisher	IOS Press
dc.relation.ispartofseries	Fundamenta Informaticae;146(2)
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Local earthquake tomography
dc.subject	Minimum 1D model
dc.subject	Linear gradient of velocity
dc.subject	Jarðskjálftar
dc.subject	Jarðskjálftamælingar
dc.subject	Líkön
dc.title	Method to find the Minimum 1D Linear Gradient Model for Seismic Tomography
dc.type	info:eu-repo/semantics/article
dc.identifier.journal	Fundamenta Informaticae
dc.identifier.doi	10.3233/FI-2016-1382
dc.relation.url	https://content.iospress.com/download?id=10.3233/FI-2016-1382
dc.contributor.department	Jarðvísindastofnun (HÍ)
dc.contributor.department	Institute of Earth Sciences (UI)
dc.contributor.school	Verkfræði- og náttúruvísindasvið (HÍ)
dc.contributor.school	School of Engineering and Natural Sciences (UI)