GEODETIC DATA INVERSION USING A BAYESIAN INFORMATION CRITERION FOR STRIKE, DIP AND SPATIAL SLIP DISTRIBUTION OFAFAULT

Abstract

 We developed a new inversion method to estimate a fault model of seismic sources from geodetic data, using Akaike's Bayesian Information Criterion. The inversion method provides not only the distributions of fault slip, optimal hyper-parameters, but also strike and dip of a fault by minimizing ABIC. The estimated strike and dip agree well with the true values of them through the numerical experiments. The distributions of fault slip were compared with the target distribution and show generally good agreement with them. The geodetic data inversion based on Bayesian formulation for the Tohoku-Oki earthquake of 2011 was carried out. As a result, the calculated horizontal displacements reproduced well the observed horizontal displacements and tsunami wave forms.