Published November 8, 2024 | Published
Journal Article Open

Testing floc settling velocity models in rivers and freshwater wetlands

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon University of California, Santa Barbara
  • 3. ROR icon Boston University

Abstract

Flocculation controls mud sedimentation and organic carbon burial rates by increasing mud settling velocity. However, calibration and validation of floc settling velocity models in freshwater are lacking. We used a camera, in situ laser diffraction particle sizing, and suspended sediment concentration–depth profiles to measure flocs in Wax Lake Delta, Louisiana. We developed a new workflow that combines our multiple floc data sources to distinguish between flocs and unflocculated sediment and measure floc attributes that were previously difficult to constrain. Sediment finer than ∼10 to 55 µm was flocculated with median floc diameter of 30 to 90 µm, bulk solid fraction of 0.05 to 0.3, fractal dimension of ∼2.1, and floc settling velocity of ∼0.1 to 1 mm s−1, with little variation along water depth. Results are consistent with a semi-empirical model indicating that sediment concentration and mineralogy, organics, water chemistry, and, above all, turbulence control floc settling velocity. Effective primary particle diameter is ∼2µm, about 2 to 6 times smaller than the median primary particle diameter, and is better described using a fractal theory. Flow through the floc increases settling velocity by an average factor of 2 and up to a factor of 7 and can be described by a modified permeability model that accounts for the effect of many primary particle sizes on flow paths. These findings help explain discrepancies between observations and an explicit settling model based on Stokes' law that depends on floc diameter, permeability, and fractal properties.

Copyright and License

© Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License.

Published by Copernicus Publications on behalf of the European Geosciences Union.

Acknowledgement

The NASA Delta-X project is funded by the Science Mission Directorate's Earth Science Division through the Earth Venture Suborbital-3 Program NNH17ZDA001N-EVS3. Justin A. Nghiem acknowledges funding from NASA FINESST grant 80NSSC20K1645. The authors thank Mathieu Dellinger and Amanda Hayton for conducting the ion chromatography at Durham University. We thank Sijia Dong for measuring DIC concentrations. We thank Claire Bucholz, Youli Li, Juliet Ryan-Davis, and Miguel Zepeda-Rosales for assistance with XRF analysis. We thank John Bourg, Madison Douglas, Paola Passalacqua, Eric Prokocki, Maryn Sanders, Adam Songy, Kyle Wright, and Caltech's fall 2019 Ge 121a class for field assistance.

Funding

This research has been supported by NASA (grant nos. NNH17ZDA001N-EVS3 and 80NSSC20K1645).

Data Availability

Sediment sample grain size distribution data are available online in the NASA Delta-X data repository at https://daac.ornl.gov/cgi-bin/dataset_lister.pl?p=41 (NASA Delta-X, 2024). The remainder of the data are available online at https://doi.org/10.22002/w4ave-nrg52 (Nghiem et al., 2024).

Additional Information

This paper was edited by Daniel Parsons and reviewed by three anonymous referees.

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Created:
May 29, 2025
Modified:
May 29, 2025