Session: Above the Seismogenic Zone: Fault Damage and Healing in the Shallow Crust [Poster]
Type: Poster
Room: Ballroom
Date: 4/19/2023
Presentation Time: 08:00 AM Pacific
Presenting Author: Natasha Toghramadjian
Description
The Newport-Inglewood fault (NIF) is an active, complex strike-slip system that cuts over 60 km through metropolitan Los Angeles and poses one of the greatest deterministic seismic hazards in the US. A portion of the NIF sourced the 1933 Long Beach (M6.4) rupture, southern California’s deadliest earthquake. The event is thought to have arrested at Signal Hill, a large restraining bend formed by a left step in the NIF in the Long Beach oil field. The NIF is considered capable of generating much larger (M≈7) and more destructive earthquakes—yet key questions persist about its geometry, segmentation, and slip that are critical in assessing these hazards.
Integrating a diverse range of data, including ~4900 horizon picks and fault penetrations from 350 oil wells, 2D seismic reflection surveys, industry field maps and USGS QFaults surface traces, we present a new 3D model of the NIF at Long Beach, including its connections to the adjacent Seal Beach and Dominguez fault segments.
Current 3D representations of the NIF in the SCEC Community Fault Model describe it as a set of simple, disconnected, vertically-dipping strike-slip faults. Our analysis shows that the fault system is complex, with a series of dip-slip reverse faults of ~60° dip that orthogonally intersect and connect the en echelon, through-going strike-slip fault segments. The strike-slip faults are non-vertical and non-planar, and shallow their dip and merge with one another at depth, extending down through the seismogenic crust. These diverse hard fault linkages present numerous rupture pathways and arrest points that NIF earthquakes may take as they propagate through Long Beach.
We apply map-based restoration to quantify how much total slip has passed through each of the fault segments at Long Beach. Ultimately, we aim to compare this pattern with dynamic rupture simulations on our fault model, to see if they illuminate preferred rupture pathways and recreate the slip partitioning observed in the geologic record, which represents hundreds of earthquake cycles.
Additional Authors
Natasha Toghramadjian Presenting Author & Corresponding Author natasha_toghramadjian@g.harvard.edu Harvard University, Cambridge, Massachusetts, United States
Presenting Author
Corresponding Author
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John H Shaw shaw@eps.harvard.edu Harvard University, Cambridge, Massachusetts, United States
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