Adv Advanced anced Worksho shop p on n Ea Earthquake Fa Fault - - PowerPoint PPT Presentation

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Adv Advanced anced Worksho shop p on n Ea Earthquake Fa Fault - - PowerPoint PPT Presentation

Adv Advanced anced Worksho shop p on n Ea Earthquake Fa Fault Mechanics: The Theory, , Simulation on and Observation ons ICTP, Trieste, Sept 2-14 2019 Lecture 10: earthquake nucleation and slow slip Jean Paul Ampuero (IRD/UCA


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Adv Advanced anced Worksho shop p on n Ea Earthquake Fa Fault Mechanics: The Theory, , Simulation

  • n and Observation
  • ns

ICTP, Trieste, Sept 2-14 2019 Lecture 10: earthquake nucleation and slow slip Jean Paul Ampuero (IRD/UCA Geoazur)

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How do earthquakes start?

Do small and large earthquakes start the same? Predictive value of earthquake onset and foreshock sequences?

  • Seismological observations
  • Laboratory observations
  • Earthquake nucleation models
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Sei Seism smological al obser servati tions s

  • f
  • f earthquake nucl

cleation

  • n
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Seismological observations

Ellsworth and Beroza (1995) Beroza and Ellsworth (1996) Nucleation duration (s) Seismic moment (Nm)

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Seismological observations related to early warning research

Simons et al (2006)

1/#$ ∼ instantaneous frequency Nakamura (1988)

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Seismological observations related to early warning research

Magnitude dependence of early dominant period Allen and Kanamori (2003)

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Seismological observations of earthquake initiation

Peak ground displacement (Pd) grows exponentially. Growth rate depends on magnitude Colombelli et al (2014)

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Meier et al., 2016, GRL

Seismological observations of earthquake initiation

Study based on short-distance recordings of shallow crustal earthquakes Take ground displacement growth as proxy for STF Growth initially compatible with self-similar pulse and crack models Slower growth after ~1s, M~5 Evidence for universal earthquake rupture initiation behavior

Meier et al (GRL 2016)

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On average (median), all STFs can be scaled to a very simple, quasi- triangular shape

The Hidden Simplicity of Large Subduction Earthquakes

Meier, Ampuero and Heaton (Science 2017)

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Characterizing large earthquakes before rupture is complete

Melgar and Hayes (Sci Adv 2019) “early in the rupture process—after about 10 s—large and very large earthquakes can be distinguished”

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Data colored by ratio of event rupture duration and typical rupture duration for its magnitude Same figure but for simulation data based on the scalable STF model of Meier et al (2017) Meier et al (2019, in prep)

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Seismological observations

A Mw3.9 earthquake in Alaska triggered by Love waves from the April 11, 2012 Mw 8.6 Sumatra earthquake Tape et al (2013)

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Seismological observations

Nucleation phase of the Mw3.9 Alaska triggered earthquake Tape et al (2013)

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June 2018

Slow and fast earthquakes (regular and low-frequency events) at the base of the seismogenic zone in the Minto Flats fault zone, central Alaska

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Bear Encounters with Seismic Stations in Alaska and Northwestern Canada Tape et al (SRL 2019) Seismic vaults and equipment enclosures in Alaska visited by curious bears

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Tape et al (Nat Geo 2018)

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Seismological observations

Foreshock sequences Dodge et al (1996)

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Seismological observations

Foreshock sequence of the 2011 Tohoku earthquake Kato et al (2012)

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2014 Iquique earthquake + foreshock sequence

IPOC stations Regional catalog by CSN Chile Seismic coupling by Metois et al (2013)

m a

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2014 Iquique foreshock sequence

m a

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La Labo boratory observations ns

  • f
  • f rupture nucl

cleation

  • n
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Laboratory experiments

Ohnaka (1990)

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Laboratory experiments

Nielsen et al (2010)

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Laboratory experiments

Laboratory foreshocks

Rubinstein et al (2007)

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Laboratory experiments

Foreshocks promoted by aseismic slip

McLaskey and Kilgore (2014)

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Ra Rate-an and-st state models

  • f
  • f earthquake nucl

cleation

  • n
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Nucleation sizes in rate-and-state friction

Rubin and Ampuero (2005)

Different nucleation styles depending on a/b (ratio of viscous to weakening effects in rate-and-state friction) Localized slip at low a/b Expanding slip at high a/b Minimum localization size:

!" = $! %&

Maximum nucleation size: !' = $! % % − ) *& = % % − )

*

!"

!+ =

,- "./ 0 = " "./ !"

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Nucleation size in rate-and-state friction

From lecture 2: crack in static equilibrium of size ! "# =

%&'( )* = "+

à ! = 2-"+/Δ0) Rate-and-state behaves as slip-weakening near the rupture front, with equivalent properties: "+ ≈ 1 2 345 ln 8 8∗

)

Stress drop Δ0 ≈ 3 − ! 4 ln

; ;∗

à Crack size: ! ≈ -5 34 3) 3 − ! ) = 5<

Rubin and Ampuero (2005)

Larger velocity jump Slip / L

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An isolated brittle asperity (v-weakening) within a creeping fault (v-strengthening). Constant slip velocity Vbackground imposed far from the asperity.

Position along-strike Time normalized by Dc/ Vbackground Log(V/ Vbackground )

Example: brittle asperity isolated in a creeping fault zone

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Example: brittle asperity isolated in a creeping fault zone

Asperity size

seismic slow slip

aseismic

Maximum slip velocity

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Fault size / nucleation size Barbot (2019)

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Barbot (2019) Fault size / nucleation size

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Fault size / nucleation size Cattania (2019)

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Rate-and-state models

  • f slow slip and foreshock swarms

Numerical model (QDYN)

  • f slow slip event + small earthquakes/tremors

Conceptual model of slow slip event + foreshocks leading to a large earthquake

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Tape et al (Nat Geo 2018)

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Ra Rate-an and-st state models

  • f
  • f sl

slow sl slip and tremor

  • r
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Migrating swarms: asperity interactions mediated by creep transients

The asperity breaks It triggers a migrating aseismic transient Influence radius

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Migrating swarms: asperity interactions mediated by creep transients

Quasi-dynamic 3D simulations with

  • K. Ariyoshi (JAMSTEC)

Cascading failure of a population of brittle asperities à Tremor swarm

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Sl Slow slip p and nd tremor migr gration n pa patterns ns

7 km/day Non-volcanic tremor migration patterns in Cascadia, USA Tremor migrates slowly along strike ( ~10 km/day) tracking the front of the slow slip event Episodic tremor swarms propagate backwards, faster ( ~ 100 km/day)

Houston et al (2010) Days

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Simulations of slow slip and tremor

QDYN model of slow slip and tremor

Luo and Ampuero Rapidal Tremor Reversals

  • bserved in Cascadia

Houston et al (2010)

≈8 km/day Model