Date Awarded

2011

Document Type

Dissertation

Degree Name

Doctor of Philosophy (Ph.D.)

Department

Virginia Institute of Marine Science

Advisor

Carl T. Friedrichs

Abstract

The research presented in this study is motivated by the need to improve predictions of transport and fate of cohesive sediments suspended during dredging operations. Two techniques are presented to quantify vertical sediment flux within dredge plumes. A mass-balance approach using an Acoustic Doppler Current Profiler (ADCP) is described and demonstrated to accurately estimate vertical mass flux and settling velocity for a suspension of fine sand from a dredged material placement operation. A new digital video settling column for simultaneous measurement of particle size and settling velocity is described and evaluated. The Particle Imaging Camera System (PICS) is a single-chambered, digital video settling column, which permits rapid acquisition (within 2--3 minutes) of image sequences within dredge plumes. Image analysis methods are presented, which provide improved estimates of particle size, settling velocity, and inferred particle density. A combination of Particle Tracking Velocimetry (PTV) and Particle Image Velocimetry (PIV) techniques is described, which permits general automation of image analysis collected from video settling columns. In the fixed image plane, large particle velocities are determined by PTV and small particle velocities are tracked by PIV and treated as surrogates for fluid velocities. The large-particle settling velocity (relative to the suspending fluid) is determined by the vector difference of the large and small particle settling velocities. The combined PTV/PIV image analysis approach is demonstrated for video settling column data collected within a mechanical dredge plume in Boston Harbor. The automated PTV/PIV approach significantly reduces uncertainties in measured settling velocity and inferred floc density. Size, settling velocities, and density of suspended sediments were measured with PICS within a trailing suction hopper dredge plume in San Francisco Bay. Results indicated that suspended sediments within the plume were predominantly in the clay and fine silt size classes, as aggregates with d>30 microm. Suspended bed aggregates (defined by densities of 1200 to 1800 kg m-3) represented 0.2--0.5 of total suspended mass, and size and settling velocity of this class were time invariant. Flocs (densities<1200 kg m-3) represented 0.5 to 0.8 of total suspended mass, and size and settling velocity of flocs was seen to increase with time. The peak diameter of bed aggregates and flocs occurred near 90 microm and 200 microm, respectively, corresponding to peak settling velocities of about 1 mm s-1 in each case. Floc settling velocities increased with particle size d1.1, while bed aggregate settling velocity increased like d1.3. Numerical modeling approaches to representing settling velocities for hopper dredge plumes are discussed in light of the experimental findings. Size-dependant settling velocities were well-described by a fractal-based relationship when the suspension was treated with discrete classes for each of the aggregate states. Time-dependent increases in floc size and settling velocity confirm that flocculation is a first-order process which should be included in numerical plume models. Correlations between settling velocity and suspended sediment concentration were weak and statistically insignificant, implying that commonly applied empirical relationships are inappropriate for dredge plumes.

DOI

https://dx.doi.org/doi:10.25773/v5-bdvw-bf19

Rights

© The Author

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