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Title: Finish discussion of event classification


1
9 Feb 2009
  • Finish discussion of event classification
  • Tectonic earthquake swarms
  • Driving mechanisms
  • Examples
  • Yellowstone
  • Mount St. Helens
  • Read about Benoit and McNutts global volcanic
    swarm database
  • www.geo.mtu.edu/gpwaite/teaching/volcanoseismo/pa
    pers/BenoitMcNutt.Ann.Geoph.1996.GVESDB.pdf

2
Other seismic events/signals
  • Rockfalls
  • Emergent first arrival
  • No clear secondary phases
  • Cigar-shaped envelope
  • Not harmonic
  • Gradual increase and decrease in amplitude
  • Can last less than a minute up to an hour
    (multiple rockfalls)
  • Can dominate during dome growth
  • Signals attenuate rapidly so they arent seen on
    distant stations
  • Example observation from MBGA, vertical component
  • LP phase is often accompanied by jets of steam
    and ash from the dome
  • the source of LP energy is somehow linked to gas
    venting
  • the LP event might trigger the rockfall
  • Unzen rockfalls modeled as a sequence of forces
    resulting from the removal of a mass of lava from
    the dome

3
Other seismic events/signals
  • Ice/glacier quakes
  • Shallow, low-frequency
  • Can look like LF events
  • Mount Rainier gt

4
Lahars and pyroclastic flows
  • Recent work by Zobin et al, JVGR, 2009 on Colima
    signals
  • Lahars
  • Duration of 10s of minutes to hours
  • Peak frequencies from 6-8 Hz
  • Pyroclastic flows
  • Similar to rockfalls
  • Durations of a few minutes
  • Peak frequencies from 3-4 Hz
  • Differences between PFs generated by dome
    collapse and eruption column collapse
  • Differences btwn Lahars and pyroclastic flow
    spectra attributed to differences in mechanics of
    flow
  • Recognition may be important for hazard analysis
    in real time

5
Source vs. Path Effects revisited
  • Difficult to determine for shallow events
  • One way to determine if LF signal is due to path
    or source is to examine different events (a VT
    and LP) that occur at about the same location
  • Share the same path for most, so any differences
    attributed to source
  • Hill and Pitt LV example
  • Stacked spectra from 7 stations
  • Two events 4 km apart
  • Differences unlikely to be path-only

6
Source vs. Path Effects revisited
  • Difficult to determine for shallow events
  • Neuberg et al. show that large amplitude,
    low-frequency events are more likely to have the
    same spectral peak
  • Tell me why?

7
1985 Yellowstone swarm
8
Earthquake Sequences
  • Volcano-tectonic earthquake swarms

9
Rate Plot
Long Valley Caldera .05 m/s
Prejean, 2002
10
What causes earthquake swarms?
  • What kinds of things could we investigate to
    determine the driver of swarm activity migration?

11
Other notable swarm characteristics
  • Buildup to peak rate is different than decay from
    peak rate, suggesting different mechanisms
    (McNutt, 1996)

12
Other notable swarm characteristics
  • Buildup to peak rate is different than decay from
    peak rate, suggesting different mechanisms
    (McNutt, 1996)
  • Swarms occur in nonvolcanic areas
  • Swarms may be modulated by tides
  • Swarms may be triggered remotely
  • Large, shallow earthquakes have triggered small
    earthquakes at distances of 1000s of km
  • Triggering corresponds to arrival of surface wave
    train
  • Response to very small stress changes (0.1 Mpa or
    0.01 bar)

13
What causes earthquake swarms?
  • Stress transfer (Hill JGR, 1977 model)
  • Series of en echelon dikes connected with cracks
  • dikes oriented with their long dimensions
    parallel to the regional maximum principal
    stress, ?1
  • Shear failure occurs along oblique fault planes
    connecting tips of adjacent dikes when a
    critical combination of fluid pressure in the
    dikes and difference between ?1 and ?3 is
    reached
  • Slip on a particular fault will result in an
    incremental volume increase in the immediate
    vicinity, and subsequent fluid pressure drop in
    adjacent dikes. This will stabilize the immediate
    system of dikes and fractures, but will perturb
    the stress field in neighboring dikes triggering
    earthquakes in those systems.
  • The stress perturbation in the adjacent dikes
    could induce the same type of earthquakes and the
    stress field perturbation would propagate away
    from the initial site of activity.
  • In this model, earthquake activity migrates as a
    result of the stress perturbation and does not
    require transfer of fluids.

14
What causes earthquake swarms?
15
What causes earthquake swarms?
16
What causes earthquake swarms?
17
What causes earthquake swarms?
18
What causes earthquake swarms?
19
What causes earthquake swarms?
From S. Prejean PhD 2002
This model has been used to explain spasmodic
bursts of seismicity observed during many swarms
near Long Valley Caldera
20
What causes earthquake swarms?
  • Model for magmatic dike intrusion Rubin, 1995
    Rubin and Gillard, 1998
  • Four types of fracture are possible
  • (1) slip on existing faults away from the tip
    cavity
  • (2) slip on existing faults adjacent to the tip
    cavity
  • (3) shear failure of intact rock adjacent to the
    tip cavity
  • (4) mode I crack opening
  • Magma pressure effectively reduces ?3 and allows
    slip along suitably oriented faults or shears
    intact rock
  • Which of the 4 is most likely?

21
What causes earthquake swarms?
  • Magma intrusion
  • Most dike intrusions do not make it to the
    surface Gudmundsson et al., 1999 so we never
    see most dike intrusions
  • Rate and distance of dike propagation depends on
    magma viscosity (?), dike width (w), thermal
    diffusivity of the host rock (?), dimensionless
    parameter (?) that depends on temperature
    difference between the host rock and magma,
    latent heat of crystallization, and the heat
    capacity (Rubin, Ann. Rev. 1995)
  • The cooler the magma, the wider the dike must be
    to avoid freezing in the same amount of time
  • More difficult to propagate granitic dikes, than
    basaltic dikes
  • ? for basalt is 0.5
  • ? for granite is 0.9
  • Example t10 days, ?1.5 X 10-6 m2/s
  • Basalt dike of width lt 1.5 m would freeze
    completely
  • Granite dike of width lt2.7 m would freeze
    completely

22
What causes earthquake swarms?
  • Magmatic dike propagation distance and rate
    (after Rubin 1995 and Rubin and Gillard 1998)
  • Assume w1 m, ?25000 MPa, ?0.2, l1 km
  • ?P30 MPa
  • Now plug in viscosities for basalt (102 Pa s) and
    granite (107 Pa s)
  • vbasalt 100 m/s (8.5 km/day)
  • vgranite 1 mm/s (8.5 cm/day)
  • How far will the dikes get in 10 days?
  • Basalt dikes in Hawaii and Iceland 1 - 10s of
    km/day
  • What conditions would make it easier for more
    silicic magma to propagate?

23
What causes earthquake swarms?
  • Water/gas migration
  • Seismicity induced by reservoir impoundment 0.1
    - 1 km/day
  • Activity migration used to estimate hydraulic
    diffusivity from the seismic diffusivity (e.g.,
    Sharpiro et al., 1997)
  • DSL2/t where L is the distance activity migrated
  • Values for DS range from 0.5-50 m2/s
  • In injections, DS depends on well pressure
  • What are the likely earthquake types associated
    with these kinds of swarms?

24
Diffusivity
25
Diffusivity
26
Yellowstone earthquake swarms
27
What caused this swarm?
28
What caused this swarm?
29
What caused this swarm?
30
1980 Mount St. Helens Earthquakes
  • Quiet prior to March 1980
  • Swarm began and peaked - explosion
  • Settled into relatively constant rate

31
1980 Mount St. Helens Earthquakes
32
1980 Mount St. Helens Earthquakes
  • Quiet prior to March 1980
  • Swarm began and peaked - explosion
  • Settled into relatively constant rate
  • Early earthquakes spanned range of depths and
    distances from volcano
  • Later events directly beneath (within) cone

33
1980 Mount St. Helens Earthquakes
May 17
Feb 15
34
1980 Mount St. Helens Earthquakes
May 17
May 17
Feb 15
Feb 15
35
1980 Mount St. Helens Earthquakes
  • Quiet prior to March 1980
  • Swarm began and peaked - explosion
  • Settled into relatively constant rate
  • Early earthquakes spanned range of depths and
    distances from volcano
  • Later events directly beneath (within) cone
  • Syneruption and posteruption activity is much
    more intense!

36
1980 Mount St. Helens Earthquakes
37
1980 Mount St. Helens Earthquakes
Jun 17
Feb 15
38
1980 Mount St. Helens Earthquakes
Jun 17
May 17
Apr 17
Mar 17
Feb 15
39
1980 Mount St. Helens Earthquakes
May 17
Feb 15
40
Volcano Tectonic Earthquake Swarms
  • Types of swarms defined by temporal distribution
  • Most common is the case where activity increases
    to a peak just prior to eruption (Zobin)
  • Sometimes have multiple peaks, but with largest
    peak near the beginning of the swarm (MSH 1980)
  • Otherwise there is a single peak in the middle of
    the swarm (like 1985 Yellowstone example) and
    decrease in activity before eruption

41
Volcano Tectonic Earthquake Swarms
  • Types of swarms defined by temporal distribution
  • Most common is the case where activity increases
    to a peak just prior to eruption
  • Sometimes have multiple peaks, but with largest
    peak near the beginning of the swarm (MSH 1980)
  • Otherwise there is a single peak in the middle of
    the swarm (like 1985 Yellowstone example) and
    decrease in activity before eruption
  • Pre-eruption swarms vary in length from just a
    few hours to thousands of hours (hundreds of
    days) (remember swarm duration is subjective)
  • Short swarms more common for basaltic systems.
    Why?
  • For more on earthquake swarms http//kiska.giseis
    .alaska.edu/dbases/swarmcat/GVESD.HTML

42
Benoit McNutts swarm database
  • Swarm data from volcanoes all over the Earth
  • Not comprehensive or uniform, but instructive to
    study
  • Swarms not associated with eruptions less likely
    to be reported
  • Volcanic monitoring networks vary in minimum
    magnitude of completeness
  • Duration of swarm defined differently
  • Not all the same data area available for all
    swarms (max magnitude, event types, b-values,
    etc.)

43
Benoit McNutts swarm database
  • Swarm type defined based on temporal relationship
    to eruption
  • Type IV are eruptions w/o swarms

44
Benoit McNutts swarm database
  • Swarm duration is reported for most swarms

45
Benoit McNutts swarm database
  • For swarms that precede eruptions, 9 days is
    common duration

46
Benoit McNutts swarm database
  • Database useful for examining trends
  • Type 1b swarms
  • Short duration swarms (lt100 hours) are not
    correlated with eruption duration
  • Long duration swarms of 100 days or longer are
    positively correlated with eruption repose time
  • What does this mean?

A new tool, WOVOdat, may enable much more
detailed, comprehensive investigations of
similarities, trends, etc., in volcanic eruption
data
47
Benoit McNutts swarm database
48
McNutts Generic Volcanic Earthquake Swarm Model
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