PhD proposal

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REVIEW OF LITERATURE Previous Work on Cinder
Cones Steve Taylor
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Cone lineaments anyone? Question How many
lines can be created by connecting the dots
between 296 select cone center points?
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Answer Total Lines n(n-1)/2 296295/2
43,660 possible line combinations
Follow-up Question Which cone lineaments are due
to random chance and which are statistically and
geologically significant?
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Cinder Cone Research Questions Are there
morphologic groupings of 400 cinder cones at
Newberry? Can they be quantitatively
documented? Are morphologic groupings associated
with age and state of erosional degradation? Are
there spatial alignment patterns? Can they be
statistically documented? Do regional stress
fields and fault mechanics control the
emplacement of cinder cones at Newberry volcano?
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CINDER CONE DEGRADATION MODELS CONE
MORPHOLOGY AND EROSION OVER TIME Dan Dziekan and
Rick Fletcher
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Cinder Cone Degradation Over Time

• Primary Cone Shape
• Angle of Repose 33o

• Cone Height Decrease
• Cone Slope Decrease
• Increased Drainage Density

Time
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• Cima Volanic Field Dated Cones
• Increase Ages
• Increase Apron Area
• Decrease Slope
• Increased Drainage

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STRUCTURAL CONTROLS ON CINDER CONE
EMPLACEMENT Jody Becker
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Cinder Cone Emplacement
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Magma Ascent Via Fault-Related Plumbing
Newberry Junction of Tumalo-Brothers-Walker Rim
Fault Zones
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Rear-Arc Cinder Cone Emplacement Model
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ANALYSIS OF CINDER CONE ALIGNMENT PATTERNS Bill
Vreeland
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Answer Total Lines n(n-1)/2 296295/2
43,660 possible line combinations
Follow-up Question Which cone lineaments are due
to random chance and which are statistically and
geologically significant?
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Lutz (1986) Two-Point Alignment Method
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Azimuth methods (Lutz 1986) Strip methods
(Zhang and Lutz 1989)
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Cebria et al. (2011) Method
Select lines shorter than one third of one
standard deviation below mean
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Cebria et al. (2011) Method
Random Lineaments skewness 0.26
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LIDAR METHODS Airborne Laser-Swath
Altimetry Kelsii Dana
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LIDAR Data Measurement

• LIDAR Light Detection and Ranging
• Laser apparatus sends pulses to surface
• Laser reflected travel time and distance
  determined using speed of light

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LIDAR Data Measurement

• LIDAR Reflected Signals
• First Returns Vegetation and Cultural Features
• Last Returns Bare Earth

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Oregon LIDAR Consortium

• Goal to provide high quality LIDAR data for the
  state
• Formed in 2007 by Oregon Dept. of Geology and
• Mineral Industries (DOGAMI), data collected
  since 2003
• Newberry LIDAR Funded by USGS, collected in 2010

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