2019
DOI: 10.1029/2018gl081272
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Rough Subducting Seafloor Reduces Interseismic Coupling and Mega‐Earthquake Occurrence: Insights From Analogue Models

Abstract: The roughness of the subduction interface is thought to influence seismogenic behavior in subduction zones, but a detailed understanding of how such roughness affects the state of stress along the subduction megathrust is still debated. Here, we use seismotectonic analogue models to investigate the effect of subduction interface roughness on seismicity in subduction zones. We compared analogue earthquake source parameters and slip distributions for two roughness endmembers. Models characterized by a very rough… Show more

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Cited by 35 publications
(34 citation statements)
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“…Some subduction interface earthquakes seem to have asperities that coincide with subducting bathymetric features such as seamounts (Abercrombie et al, 2001;Bilek et al, 2003;Collot et al, 2017;Husen et al, 2002). However, the greatest subduction zone earthquakes are correlated with smooth subducting interfaces and thick subducting sediment piles (Lallemand et al, 2018;van Rijsingen et al, 2019;Scholl et al, 2015). Moreover, in records of repeated earthquake cycles from microatoll records from Sumatra, the arrangement of asperities can change from event to event (Philibosian et al, 2017).…”
Section: Citationmentioning
confidence: 99%
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“…Some subduction interface earthquakes seem to have asperities that coincide with subducting bathymetric features such as seamounts (Abercrombie et al, 2001;Bilek et al, 2003;Collot et al, 2017;Husen et al, 2002). However, the greatest subduction zone earthquakes are correlated with smooth subducting interfaces and thick subducting sediment piles (Lallemand et al, 2018;van Rijsingen et al, 2019;Scholl et al, 2015). Moreover, in records of repeated earthquake cycles from microatoll records from Sumatra, the arrangement of asperities can change from event to event (Philibosian et al, 2017).…”
Section: Citationmentioning
confidence: 99%
“…The relationship between crack sealing via silica kinetics and fault zone slip behavior can be understood in terms of the influence of crack healing on frictional properties and the local fault zone stiffness. The mode of frictional sliding is dictated by the ratio of the fault stiffness, K, and the rate of fault weakening with slip, which defines a critical rheologic stiffness, K c (Rice & Ruina, 1983), that can be written…”
Section: Implications For Fault Zone Slip Behaviormentioning
confidence: 99%
“…The overall conceptual picture is one of a structurally disrupted upper plate, a highly heterogeneous stress state, pervasive shearing and fracturing promoted by the irregular geometry, and spatially complex patterns of basal erosion and material underplating. These effects have been investigated by several numerical and laboratory analogue modeling studies (Ding & Lin, 2016; Morgan & Bangs, 2017; Ruh et al, 2016; van Rijsingen et al, 2019). Our model (in Figure 8) differs from most existing numerical studies by explicitly incorporating the effects of fluid drainage and its interplay with deformation processes including geometrically modulated tectonic loading and stress‐dependent sediment compaction.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, the higher the basement relief (from 100 m in RB1 to 300 m in RB3), the greater the departure from the theoretical expectation for a smooth interface (Figure 8c). In other words, when the subducting basement is rough, the wedge morphology will respond as if the detachment is mechanically stronger-a phenomenon that has been qualitatively documented in laboratory analogue studies (e.g., Gutscher et al, 1996;van Rijsingen et al, 2019). Compared with the general trend reflected by our "smooth and weak" models (white symbols in Figure 8b, right panel), modeled subduction forearcs with either rough basement (models RB1-3) or strong décollement material (SD1-3) exhibit high wedge tapers.…”
Section: Our Compilation Inmentioning
confidence: 93%
“…In the example of Olkiluoto, uncertainties in fault surface geometry were estimated from a significant amount of data available from bore hole, seismic profiles, tunnel wall observations, and outcrop measurements (Mattila et al, 2008). Truncation bias is here defined by not considering the faults smaller than 100 m length estimated to allow incremental displacement lower than 10 −2 m (Wells and Coppersmith, 1994). Variability or uncertainty in in situ stresses and rock material properties estimated from bore hole and rock tests are not considered limitations since they are used to constrain their range of variability in the parametric study (see Sect.…”
Section: Discussionmentioning
confidence: 99%