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GE5950 Volcano Seismology

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Title: GE5950 Volcano Seismology


1
GE5950 Volcano Seismology
2
Todays Topics
  • Introductions
  • Structure of the course (syllabus)
  • Background Materials

3
  • Why are you taking this course?
  • What are your research interests?
  • How do you hope to use the knowledge you pick up
    in this class?
  • ?

4
  • GE5950 Volcano Seismology
  • Spring semester 2009
  • 3 credits
  • Description and scope of the course This course
    will prepare students, including those with no
    seismology background, to interpret seismic and
    acoustic signals from volcanoes. Topics basic
    seismology, monitoring techniques, tectonic and
    volcanic earthquakes, infrasound, and deformation
    over a range of time scales.
  • Instructor Dr. Greg Waite
  • Dow 204
  • Office phone 906.487.3554
  • e-mail gpwaite_at_mtu.edu
  • Teaching Assistant Ingrid Fedde
  • e-mail idfedde_at_mtu.edu
  • Lecture Monday Wednesday from 1535-1650 in
    EERC B11.
  • Lab (required for Michigan Tech students) TBD in
    Dow 211
  • Lab help session TBD

5
  • Texts There is not a required textbook as most
    of the material will be handed out. We will read
    from Stein and Wysession quite extensively
  • Stein, S. and M. Wysession, (2003). An
    Introduction to Seismology, Earthquakes, and
    Earth Structure, Blackwell Publishing this is
    an excellent general-purpose seismology textbook
    that also covers advanced topics we wont
    address.
  • This is the only volcanic seismology textbook
    that covers most of the topics we will cover in
    the course, but it is hard to find
  • Zobin, V.M. (2003), Introduction to Volcanic
    Seismology, Elsevier.
  • Prerequisites MA1160/61, GE2000, PH2100, or
    permission from instructor. Labs and homework
    assignments will be done in Matlab, but you need
    not be an expert in Matlab to take the course.
  • Readings Journal articles and book sections will
    be assigned.
  • Course web page http//www.geo.mtu.edu/gpwaite/t
    eaching/volcanoseismo
  • Grades Final grade will be based upon homework
    (25), laboratories (25), mid-term (25) and
    final exams (25).

6
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7
Introduction
  • Why study seismology?
  • One of the best ways to study the Earths
    interior
  • Direct observations (drilling) are impossible
    and/or impractical (expensive) in most cases
  • Earthquakes are abundant
  • Works day or night
  • Seismograms record all the complexities
    encountered along the waves path from source to
    receiver (e.g., liquid outer core was discovered
    by seismologist)
  • Earth behaves (nearly) elastically at seismic
    frequencies

8
Introduction
  • Why study volcano seismology?
  • Used to evaluate the current state of the
    volcano
  • Seismic tomography
  • State of stress
  • Temporal changes have been observed in both at
    volcanoes
  • Primary tool used for eruption prediction
  • Dozens of eruptions have been predicted
  • Requires years of background monitoring
  • Provides quantitative data for modeling of
    eruption dynamics
  • Because seismic waves are elastic waves, they can
    be modeled quantitatively relatively easily
  • Cheap and easy to maintain a small network of
    stations

9
Introduction
  • Volcano seismology is extremely complex and
    interesting to study?
  • Volcanoes are dynamic with rapidly varying local
    stress regimes, migrating fluids, changing
    topography, etc
  • They produce many more earthquakes than a
    typical fault
  • Volcanic process produce a wide variety of
    seismic waves with very-long-period earthquakes
    (period 20-60 seconds) up to very small M0 high
    frequency events (100s of Hz)

10
Introduction
  • Volcano seismology includes nearly all aspects of
    earthquake seismology plus additional
    complexities because of many different types of
    sources
  • Must understand the basics of seismology to
    effectively use volcano seismic signals

11
  • Figure from Garcés, M. A., M. T. Hagerty, and S.
    Y. Schwartz (1998), Magma acoustics and
    time-varying melt properties at Arenal
    Volcano,Costa Rica, Geophys. Res. Lett., 25(13),
    22932296.

12
(a) Hour-long record of the east component of
velocity for a station on Stromboli, about 400 m
southeast of the vents. (b) Band-pass filtered
record of (a). Two repeating events were
identified suggesting a repetitive,
non-destructive source process. (after Chouet et
al., JGR 2003)
13
1 hour and 15 minutes
14
Some mathematical background complex numbers
  • A complex number can be written as
  • z a bi
  • i sqrt(-1)
  • a is the Real part of z,
  • b is the Imaginary part of z
  • r sqrt(a2 b2)
  • r is the magnitude of z
  • ?? tan-1(b/a)
  • ? is the phase angle of z

15
Scalars and vectors
Scalars describe a physical property at a point
and are independent of coordinate system
temperature, pressure, mass, etc. Vectors have
both a magnitude and direction displacement u
u1ê1 u2ê2 u3ê3 (u1,u2,u3) ê1 (1,0,0) ê2
(0,1,0) ê3 (0,0,1) hats denote unit vectors,
which have magnitude 1
16
Scalars and vectors
17
Scalars and vectorsVector scalar multiplication
u (u1,u2,u3) ?u (?u1, ?u2, ?u3) Multiplicatio
n by a positive scalar changes magnitude, but not
direction of the vector
18
Scalars and vectorsVector addition
19
Scalars and vectorsDot product
Dot product is commutative (aob boa) Dot
product of perpendicular vectors is 0 u o ê1
(u1ê1 u2ê2 u3ê3 ) o ê1 u1
20
Scalars and vectorsCross product
Vector resulting from cross product of two
vectors is perpendicular to both Order is
important a x b ? b x a
21
Scalars and vectorsIndex notation
22
Scalars and vectorsEinstein summation notation
Summation over repeated index, i, is implied
23
Scalars and vectorsThe Kronecker delta
24
Matrices
25
Matrices
26
Matrices matrix multiplication
The ijth element of C is the dot product of the
ith row of A and the jth column of B Matrix
multiplication is not commutative
27
Matrices identity matrix
28
Matrices matrix transpose
29
Matrices inverse matrix
30
Vectors and Matrices systems of linear equations
31
Vectors and Matrices systems of linear equations
32
Vectors and Matrices systems of linear equations
If the number of equations (rows of A) and
unknowns (elements of x) is equal, A is square.
If b ? 0, then we have an easy method for
computing the vector of unknowns, x.
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