Multifractal Analysis of a Seismic Moment Distribution Obtained From InSAR Inversion

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 fou...

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Bibliographic Details
Published in:Earth and space science (Hoboken, N.J.) N.J.), 2021-09, Vol.8 (9), p.e2020EA001433-n/a
Main Authors: Saylor, Cameron, Rundle, John B., Donnellan, Andrea
Format: Article
Language:English
Subjects:
Algorithms
Computational Geophysics
Data Analysis: Algorithms and Implementation
Earthquakes
Fault lines
genetic algorithm
Geometry
Informatics
InSAR
Inverse problems
Inverse Theory
inversion
Mathematical Geophysics
multifractal
Numerical Algorithms
Seismic activity
Technical Reports: Methods
Waveform analysis
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Summary: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. Key Points Inversion for seismic moment of point source distribution Multifractal analysis of seismic moment distribution is performed Seismic moment distribution exhibits multifractal properties
ISSN:2333-5084
2333-5084
DOI:10.1029/2020EA001433