6533b830fe1ef96bd1297a33
RESEARCH PRODUCT
Method to find the Minimum 1D Linear Gradient Model for Seismic Tomography
Tatyana A. SmaglichenkoAlexander V. SmaglichenkoWolfgang R. JacobyIngi Th. Bjarnasonsubject
Local earthquake tomography02 engineering and technology010502 geochemistry & geophysics01 natural sciencesTheoretical Computer SciencePhysics::Geophysicssymbols.namesakeTime windowsLinear gradient of velocity0202 electrical engineering electronic engineering information engineeringTaylor series0105 earth and related environmental sciencesAlgebra and Number TheoryZero (complex analysis)State (functional analysis)GeodesyLinear gradientVariable (computer science)Computational Theory and MathematicsLíkönSeismic tomographysymbols020201 artificial intelligence & image processingMinificationJarðskjálftarMinimum 1D modelGeologyJarðskjálftamælingarInformation Systemsdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-09-13 |