Háskóli ÍslandsUniversity of IcelandSmaglichenko, Tatyana A.Bjarnason, Ingi ÞorleifurSmaglichenko, Alexander V.Jacoby, Wolfgang R.2021-04-142021-04-142016-09-13Smaglichenko, 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-2016-13820169-2968https://hdl.handle.net/20.500.11815/2543The 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.211-217eninfo:eu-repo/semantics/openAccessLocal earthquake tomographyMinimum 1D modelLinear gradient of velocityJarðskjálftarJarðskjálftamælingarLíköninfo:eu-repo/semantics/articleFundamenta Informaticae10.3233/FI-2016-1382