([email protected]) and gregory p. waite michigan ...pages.mtu.edu/~kabrill/agu2012/brillagu12.pdf ·...
TRANSCRIPT
Source Processes Revealed at Two Guatemalan Volcanoes:
Insights from Multidisciplinary Observations of Harmonic Tremor and Numerical Modeling
Kyle A. Brill1([email protected]) and Gregory P. Waite
1
Michigan Technological University
V33A-2845
PIRE Grant #0530109
I. Introduction Volcanic tremor (persistent ground motion occurring over a time range from minutes
to days) is typically associated with different types of material transport beneath a
volcano, and tremor that presents with multiple peaks (overtones) at integer multi-
ples, it is termed harmonic [Konstantinou and Schlindwein, 2003]. Harmonic tremor
can provide insight into the source processes that created them, but interpretation is
complicated by the complex volcanic environments.
Figure 1 shows station locations where we recorded instances of harmonic tremor at
Santiaguito and Fuego volcanoes in southern Guatemala, Central America.
Santiaguito
Santiaguito (2500 m) is a dacitic dome complex located in the 1902 eruption crater
of Santa María (3772 m). We recorded data at SG01 using a 3 component broadband
(30 second) seismometer for ~44 days of data from 1 January 7-April 2009 with data
gaps due to intermittent power losses. The data set was supplemented by infrasound
recordings, time-lapse images, thermal images, and video recordings.
Fuego
Fuego (3263 m) is a basaltic andesite composite volcano and marks the current erup-
tive center of the Fuego-Acatenango volcanic complex. We gathered broadband
seismic data at 10 stations around Fuego from 8 January-26 January 2009 along with
infrasound recordings, high-speed video recordings, and UV images.
II. Gliding Tremor Short-time window Fourier transform (STFT) plots
with an 8 second window and 80% overlap reveal
tremor with spectral peaks at integer multiples.
Both volcanoes demonstrated spectral gilding of the
harmonic frequencies. We quantify the gliding in
the signals using the fpeak function developed by
Geng Jun for Matlab [Jun 2003] to pick local mini-
ma and maxima within the spectrograms.
These rapid frequency fluctuations have direct im-
plications for source interpretation.
Most proposed models (thermo-acoustic resonators
[Busse et al. 2005], magma column wagging
[Jellinek and Bercovici, 2011], clarinet-organ pipes
[Lesage et al., 2006]) are not capable of producing
such dramatic frequency shifts over so short a time
without invoking geologically improbable geome-
tries or implausible situations. We rely on extra in-
formation from contemporaneously collected data
to aid in our interpretation.
Volcano f0 Range
(Hz)
Event
Duration
(seconds)
Santiaguito 0.3-0.7 Hz 38-1248
Fuego 0.5-2.5 Hz 30- > 3600
Volcano f0 Maximum
Rate of
Change
f0 Maximum
Total
Change
Santiaguito 0.03 Hz/sec 0.36 Hz/
Fuego 0.1 Hz/sec 0.75 Hz/
III. Tremor Source The best fit model to our data and observations at each volcano
is a repeating series of nonlinear excitations of fracture walls
as gas flows through the system after Julian [1994].
Differences in how cracks form and heal themselves account for
variability in activity.
Santiaguito Fuego
Magma rises and viscosity increases.
Strain rates exceed shear strength.
Magma fractures at the conduit margins.
Small cracks form fracture networks.
Gas escapes and excites fracture walls.
Pressures are released, fractures heal with added heat.
Undercooling of magma allows rapid crystallization.
Melt viscosities surpass normal range for basalt.
Cap forms and partially seals the system.
Gas escapes through partially plugged secondary vent.
Gas escapes and excites fracture walls.
Pressures are released, fractures heal with added heat.
IV. Particle Motions We see unexpected changes in the polarization of particle motions at both
Santiaguito and Fuego volcanoes. We use the frequencies identified by the
Find Peak Value algorithm and create 2-pole band pass filters on either
side of the chosen frequency. When the isolated frequencies are plotted,
the particle motions are typically elliptical and not easily attributed to a
single wave type. Many examples show 90° rotations in particle motions
from one overtone to the next. The relative amplitude contributions and
dominant directions also vary greatly within continuous events.
One possible explanation for these behaviors could be that the lower fre-
quency signals are within the near-field for those wavelengths, while the
higher frequencies are not. Signals between 0.3 and 2.0 Hz correspond to
wavelengths of 10 km or 1.5 km at a vp=3 km/s, our stations are mostly at
a 1-3 km distance. Lokmer and Bean [2010] highlight fine resolution fre-
quency contribution changes as well as polarized particle motions as the
near-field term decays. Exploring the details of where and how the near-
field term affects the wave field at about one wavelength distance could
shed more light on this phenomenon.
V. Conclusion At both Santiaguito and Fuego volcanoes, gliding harmonic tremor signals with highly varia-
ble particle motions point to sources which are unstable by themselves but formed by repeti-
tive processes capable of producing similar although not identical conditions. Pressurized
gasses passing through a changing crack network and exciting nonlinear responses from the
crack walls as proposed by Julian [1994] best explain these characteristics.
At Santiaguito, crack networks are created by shear fracture after Holland et al. [2011], while
at Fuego, cracks open through a secondary vent filled by cooled lava [Nadeau et al., 2011].
Acknowledgments Funding by US National Science Foundation PIRE Grant #0530109. Special thanks to the people at INSIVUMEH (Eddy Sanchez, Gustavo Chigna, Alvaro Rojas, Julio Cornejo, Amilcar Cardenas, Edgar Barrios) and
Peace Corps (Flavio Linares, Craig Badger) for the help and permission to do this work. Thanks also to Bill Rose, Seth Moran, Jeff Johnson, Jonathan Lees, John Gierke, John Lyons, Joshua Richardson, Rüdigger Esco-
bar Wolf, Emily Gochis, Jesse Silverman, Julie Herrik, Randall Fish, Hans Lechner, Rob Hegemann, Lara Kapalansik, Dulcinea Avouris, Justin Olson, Kelly McLean, Amie Ledgerwood.
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