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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Vydáno v:Earth and space science (Hoboken, N.J.) Ročník 8; číslo 9; s. e2020EA001433 - n/a
Hlavní autoři: Saylor, Cameron, Rundle, John B., Donnellan, Andrea
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States John Wiley & Sons, Inc 01.09.2021
John Wiley and Sons Inc
American Geophysical Union (AGU)
Témata:
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
New Zealand
genetic algorithm
InSAR
inversion
multifractal
ISSN:2333-5084, 2333-5084
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Popis
Shrnutí: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
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ISSN:2333-5084
2333-5084
DOI:10.1029/2020EA001433