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The 2016 M7 Kumamoto, Japan, Earthquake Slip Field Derived From a Joint Inversion of Differential Lidar Topography, Optical Correlation, and InSAR Surface Displacements.

Authors :
Scott, Chelsea
Arrowsmith, Ramon
Champenois, Johann
Klinger, Yann
Nissen, Edwin
Maruyama, Tadashi
Chiba, Tatsuro
Source :
Geophysical Research Letters. 6/28/2019, Vol. 46 Issue 12, p6341-6351. 11p.
Publication Year :
2019

Abstract

Observations of surface deformation within 1–2 km of a surface rupture contain invaluable information about the coseismic behavior of the shallow crust. We investigate the oblique strike‐slip 2016 M7 Kumamoto, Japan, earthquake, which ruptured the Futagawa‐Hinagu Fault. We solve for variable fault slip in an inversion of differential lidar topography, satellite optical image correlation, and Interferometric Synthetic Aperture Radar (InSAR)‐derived surface displacements. The near‐fault differential lidar pose several challenges. The model fault geometry must follow the surface trace at the sub‐kilometer scale. Integration of displacement datasets with different sensitivities to the 3D deformation field and varying spatial distribution permits additional complexity in the inferred slip but introduces ambiguity that requires careful selection of the regularization. We infer a Mw7.09−0.05+0.03 earthquake. The maximum slip of 6.9 m occurred at 4.5‐km depth, suggesting an on‐fault slip deficit in the upper several kilometers of the crust that likely reflects distributed and inelastic deformation within the shallow fault zone. Plain Language Summary: Coseismic slip inversions quantify fault slip over a fault surface and serve as critical input into research on rupture propagation, earthquake triggering, and seismic hazard. However, coseismic slip distributions are rarely constrained by observations of surface displacement immediately adjacent to the fault rupture. This limits the quality of slip models within the shallowest crust. We solve for the slip field of the 2016 M7 Kumamoto, Japan, earthquake throughout the seismogenic crust using near‐ and far‐field observations from differential lidar topography, satellite optical image correlation, and Interferometric Synthetic Aperture Radar surface displacements. The near‐field differential lidar topography is critical for measuring shallow fault slip. We infer a Mw7.09−0.05+0.03 earthquake and a maximum slip of 6.9 m at 4.5‐km depth. This represents a shallow fault slip deficit where slip is greater at depth than at the surface. The missing shallow along‐fault slip is accommodated as off‐fault and inelastic deformation, presumably along secondary faults and folds in the shallow crust. Future earthquakes are also likely to be measured with different surface displacement data types. Researchers will have a new opportunity to learn about the behavior of the shallow fault zone and will also be presented with technical challenges such as those discussed here. Key Points: We conduct an earthquake slip inversion using differential lidar topography, optical image correlation, and InSAR imageryWe show how each data set constrains the variable fault slipThe apparent shallow slip deficit may reflect shallow off‐fault deformation [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00948276
Volume :
46
Issue :
12
Database :
Academic Search Index
Journal :
Geophysical Research Letters
Publication Type :
Academic Journal
Accession number :
137775438
Full Text :
https://doi.org/10.1029/2019GL082202