Sector-Scanning Sonar Imagery of Laboratory Bedforms

Kyle O'donnell Olejniczak, California State University Monterey Bay, Seaside, CA, United States, Joe Calantoni, U.S. Naval Research Laboratory, Stennis Space Center, DC, United States, Allison Penko, US Naval Research Laboratory, Washington, DC, United States, Margaret L Palmsten, U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St Petersburg, FL, United States, Alexandru Sheremet, University of Florida, Engineering School for Sustainable Infrastructure and Environment, Gainesville, FL, United States, James Michael Kaihatu, Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States and Robert Weiss, Virginia Polytechnic Institute and State University, Department of Geosciences, Academy of Integrated Science, Blacksburg, United States
Abstract:
High-frequency (2.25 MHz) Sector-Scanning Sonar (SSS) provides low-cost imagery for observing bedform morphology. SSS data can be used to improve upon bedform morphology models and correct for acoustic scattering and absorption of the seafloor. We collected SSS data at a 3.0 m range over six days in the large wave flume at the O.H. Hinsdale Wave Research Laboratory at Oregon State University. SSS data were averaged over the number of scan passes for each experiment. Experiments were conducted using solitons, as well as cnoidal and random waves with varying wave heights and periods from 0.25 m to 1.0 m and 2.0 to 5.0 seconds, respectively. Waves propagated over an 8 m long sediment test section containing Oregon beach sand with D50 = 0.23 mm. Ripple wavelengths were estimated using Fourier analysis and ranged from 0.41 m to 1.2 m.
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