Earthquake Rupture on Multiple Splay Faults and Its Effect on Tsunamis

Autor: van Zelst, I., Rannabauer, L., Gabriel, A.‐A., van Dinther, Y., 4 Department of Informatics Technical University of Munich Munich Germany, 5 Geophysics Department of Earth and Environmental Sciences LMU Munich Munich Germany, 1 Seismology and Wave Physics Institute of Geophysics, Department of Earth Sciences ETH Zürich Zürich Switzerland
Přispěvatelé: Tectonics
Jazyk: angličtina
Rok vydání: 2022
Předmět:
ddc:551
subduction zone
numerical modelling
results
Seismic cycle related deformations
GLOBAL CHANGE
Abrupt/rapid climate change
Climate variability
Earth system modeling
Impacts of global change
Land/atmosphere interactions
Oceans
Regional climate change
Sea level change
Solid Earth
Water cycles
HYDROLOGY
Climate impacts
Estimation and forecasting
Hydrological cycles and budgets
INFORMATICS
Forecasting
IONOSPHERE
MAGNETOSPHERIC PHYSICS
MARINE GEOLOGY AND GEOPHYSICS
Gravity and isostasy
MATHEMATICAL GEOPHYSICS
Prediction
Probabilistic forecasting
ATMOSPHERIC PROCESSES
Climate change and variability
Climatology
General circulation
Ocean/atmosphere interactions
Regional modeling
Theoretical modeling
OCEANOGRAPHY: GENERAL
Climate and interannual variability
Numerical modeling
Ocean predictability and prediction
NATURAL HAZARDS
Atmospheric
Geological
Oceanic
Monitoring
forecasting
prediction

Physical modeling
Climate impact
Risk
Disaster risk analysis and assessment
OCEANOGRAPHY: PHYSICAL
Tsunamis and storm surges
Air/sea interactions
Decadal ocean variability
Ocean influence of Earth rotation
Sea level: variations and mean
Surface waves and tides
PALEOCEANOGRAPHY
POLICY SCIENCES
Benefit-cost analysis
RADIO SCIENCE
Interferometry
Ionospheric physics
Radio oceanography
SEISMOLOGY
Earthquake dynamics
Seismicity and tectonics
Subduction zones
Continental crust
Earthquake ground motions and engineering seismology
Earthquake source observations
Earthquake interaction
forecasting
and prediction

Volcano seismology
SPACE WEATHER
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TECTONOPHYSICS
Dynamics: seismotectonics
VOLCANOLOGY
Volcano/climate interactions
Atmospheric effects
Volcano monitoring
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Mud volcanism
Explosive volcanism
Volcanic hazards and risks
Research Article
earthquake
tsunami
dynamic rupture
splay fault
numerical modeling [Seismology
ATMOSPHERIC COMPOSITION AND STRUCTURE
Air/sea constituent fluxes
Volcanic effects
BIOGEOSCIENCES
Climate dynamics
Modeling
COMPUTATIONAL GEOPHYSICS
Numerical solutions
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ddc
numerical modeling
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Zdroj: Journal of Geophysical Research: Solid Earth, 127(8), 1
Journal of Geophysical Research: Solid Earth, 127 (8)
J. Geophys. Res.
ISSN: 2169-9313
Popis: Detailed imaging of accretionary wedges reveals splay fault networks that could pose a significant tsunami hazard. However, the dynamics of multiple splay fault activation during megathrust earthquakes and the consequent effects on tsunami generation are not well understood. We use a 2‐D dynamic rupture model with complex topo‐bathymetry and six curved splay fault geometries constrained from realistic tectonic loading modeled by a geodynamic seismic cycle model with consistent initial stress and strength conditions. We find that all splay faults rupture coseismically. While the largest splay fault slips due to a complex rupture branching process from the megathrust, all other splay faults are activated either top down or bottom up by dynamic stress transfer induced by trapped seismic waves. We ascribe these differences to local non‐optimal fault orientations and variable along‐dip strength excess. Generally, rupture on splay faults is facilitated by their favorable stress orientations and low strength excess as a result of high pore‐fluid pressures. The ensuing tsunami modeled with non‐linear 1‐D shallow water equations consists of one high‐amplitude crest related to rupture on the longest splay fault and a second broader wave packet resulting from slip on the other faults. This results in two episodes of flooding and a larger run‐up distance than the single long‐wavelength (300 km) tsunami sourced by the megathrust‐only rupture. Since splay fault activation is determined by both variable stress and strength conditions and dynamic activation, considering both tectonic and earthquake processes is relevant for understanding tsunamigenesis.
Plain Language Summary: In subduction zones, where one tectonic plate moves beneath another, earthquakes can occur on many different faults. Splay faults are relatively steep faults that branch off the largest fault (the megathrust) in a subduction zone. As they are steeper than the megathrust, the same amount of movement on them could result in more vertical displacement of the seafloor. Therefore, splay faults are thought to play an important role in the generation of tsunamis. Here, we use computer simulations to study if an earthquake can break multiple splay faults at once and how this affects the resulting tsunami. We find that multiple splay faults can indeed fail during a single earthquake due to the stress changes from trapped seismic waves, which promote rupture on splay faults. Rupture on splay faults results in larger seafloor displacements with smaller wavelengths, so the ensuing tsunami is bigger and results in two main flooding episodes at the coast. Our results show that it is important to consider rupture on splay faults when assessing tsunami hazard.
Key Points: Multiple splay faults can be activated during a single earthquake by megathrust slip and dynamic stress transfer due to trapped waves. Splay fault activation is facilitated by their favorable orientation with respect to the local stress field and their closeness to failure. Long‐term geodynamic stresses and fault geometries affect dynamic splay fault rupture and the subsequent tsunami.
Volkswagen Foundation (VolkswagenStiftung) http://dx.doi.org/10.13039/501100001663
Royal Society (The Royal Society) http://dx.doi.org/10.13039/501100000288
EC | H2020 | H2020 Priority Excellent Science | H2020 European Research Council (ERC) http://dx.doi.org/10.13039/100010663
Deutsche Forschungsgemeinschaft (DFG) http://dx.doi.org/10.13039/501100001659
National Science Foundation (NSF) http://dx.doi.org/10.13039/100000001
https://github.com/TUM-I5/SWE
https://doi.org/10.5281/zenodo.6969455
Databáze: OpenAIRE