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X-WR-CALNAME:Thesis Defense: Adam Dickson
X-WR-TIMEZONE:Mountain Time (US & Canada)
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DTSTAMP:20260712T173100Z
UID:tag:localist.com\,2008:EventInstance_51930875006473
DTSTART:20260213T160000Z
DTEND:20260213T170000Z
DESCRIPTION:Title: Seasonal Snow Structure and Mechanical Property Estimate
 s through Active-Source Seismology\n\nProgram: Geophysics MS\n\nCommittee 
 Chair: Lee Liberty\n\nCommittee: Lee Liberty\, Dylan Mikesell\, Hans-Peter
  Marshall\n\nAbstract: Seasonal snow can exhibit spatial and temporal vari
 ability in density\, stiffness\, and layering. These properties impact sno
 wpack characterization that influences vehicle mobility\, avalanche safety
 \, and water management decisions. Thus\, traditional point measurement an
 d remotely sensed regional snow data may underestimate the complexity of s
 now properties at the hundred-meter scale\, either by overgeneralizing fin
 e scale variability or simplifying intermediate scale heterogeneity. To ad
 dress this challenge\, I utilize a portable active-source seismic snow str
 eamer system to characterize the mechanical properties of snow at the deci
 meter vertical scale and decameter horizontal scale. My developed system i
 ntegrates a towed 24-triplet three-component geophone array (10 cm spacing
 \, 2.3 m aperture) with a compact three-direction push–pull solenoid sei
 smic source. From the recorded data\, I can extract first arrival travel t
 imes and surface wave dispersion to develop p-wave and s-wave velocity pro
 files. Additionally\, p- and s-wave reflection images reveal internal snow
 pack structure that are influenced by bulk density contrasts. Field campai
 gns near Mores Creek Summit\, Idaho\, Grand Mesa\, Colorado\, and McCall\,
  Idaho demonstrate acquisition feasibility and highlight velocity differen
 ces across sites and snowpack stages (early\, mid\, and late season condit
 ions). These seismic observations align with independent snow pit and Snow
 MicroPen measurements\, highlighting the method’s ability to resolve sno
 w density and layering variations driven by seasonal weather. These observ
 ations may be used to inform policy and procedural decisions.
GEO:43.600651;-116.198267
LOCATION:Charles P. Ruch Engineering Building (RUCH)\, 314
SUMMARY:Thesis Defense: Adam Dickson
URL;VALUE=URI:https://events.boisestate.edu/event/thesis-defense-adam-dicks
 on
CATEGORIES:Lectures and Presentations
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