Multifractal Analysis of a Seismic Moment Distribution Obtained From InSAR Inversion

Earth and Space Science

Cameron Saylor¹  John B. Rundle¹  Andrea Donnellan² 

[1] Department of Physics and Astronomy University of California, Davis Davis CA USA;Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA;

关键词: genetic algorithm;    InSAR;    inversion;    multifractal;   

DOI  :  10.1029/2020EA001433

来源: DOAJ

【 摘 要 】

Abstract Interferometric synthetic aperture radar (InSAR) interferograms contain valuable information about the fault systems hidden beneath the surface of the Earth. In a new approach, we aim to fit InSAR ground deformation data using a distribution of multiple seismic point sources whose parameters are found by a genetic algorithm. The resulting source distribution could provide another useful tool in solving the difficult problem of accurately mapping earthquake faults. We apply the algorithm to an ALOS‐2 InSAR interferogram and perform a multifractal analysis on the resulting distribution, finding that it exhibits multifractal properties. We report first results and discuss advantages and disadvantages of this approach.

【 授权许可】

Unknown