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Earth Surface Dynamics An interactive open-access journal of the European Geosciences Union

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© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
14 Oct 2013
Review status
This discussion paper has been under review for the journal Earth Surface Dynamics (ESurf). A final paper in ESurf is not foreseen.
Flocculation processes and sedimentation of fine sediments in the open annular flume – experiment and numerical modeling
I. Klassen1, G. Hillebrand2, N. R. B. Olsen3, S. Vollmer2, B. Lehmann4, and F. Nestmann1 1Institute for Water and River Basin Management, Karlsruhe Institute of Technology, Germany
2Federal Institute of Hydrology, Koblenz, Germany
3Department of Hydraulic and Environmental Engineering, Norwegian University of Science and Technology, Trondheim, Norway
4Institute for Hydraulic Engineering and Water Management, Technical University Darmstadt, Germany
Abstract. The prediction of cohesive sediment transport requires numerical models which include the dominant physico-chemical processes of fine sediments. Mainly in terms of simulating small scale processes, flocculation of fine particles plays an important role since aggregation processes affect the transport and settling of fine-grained particles. Flocculation algorithms used in numerical models are based on and calibrated using experimental data. A good agreement between the results of the simulation and the measurements is a prerequisite for further applications of the transport functions.

In this work, the sediment transport model (SSIIM) was extended by implementing a physics-based aggregation process model based on McAnally (1999). SSIIM solves the Navier-Stokes-Equations in a three-dimensional, non-orthogonal grid using the k-ε turbulence model. The program calculates the suspended load with the convection-diffusion equation for the sediment concentration.

Experimental data from studies in annular flumes (Hillebrand, 2008; Klassen, 2009) is used to test the flocculation algorithm. Annular flumes are commonly used as a test rig for laboratory studies on cohesive sediments since the flocculation processes are not interfered with by pumps etc. We use the experiments to model measured floc sizes, affected by aggregation processes, as well as the sediment concentration of the experiment. Within the simulation of the settling behavior, we use different formulas for calculating the settling velocity (Stokes, 1850 vs. Winterwerp, 1998) and include the fractal dimension to take into account the structure of flocs.

The aim of the numerical calculations is to evaluate the flocculation algorithm by comparison with the experimental data. The results from these studies have shown, that the flocculation process and the settling behaviour are very sensitive to variations in the fractal dimension. We get the best agreement with measured data by adopting a characteristic fractal dimension nfc to 1.4. Insufficient results were obtained when neglecting flocculation processes and using Stokes settling velocity equation, as it is often done in numerical models which do not include a flocculation algorithm.

These numerical studies will be used for further applications of the transport functions to the SSIIM model of reservoirs of the Upper Rhine River, Germany.

Citation: Klassen, I., Hillebrand, G., Olsen, N. R. B., Vollmer, S., Lehmann, B., and Nestmann, F.: Flocculation processes and sedimentation of fine sediments in the open annular flume – experiment and numerical modeling, Earth Surf. Dynam. Discuss., 1, 437-481, doi:10.5194/esurfd-1-437-2013, 2013.
I. Klassen et al.
Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
RC C285: 'review report', Anonymous Referee #1, 11 Nov 2013 Printer-friendly Version Supplement 
RC C310: 'Comments', Anonymous Referee #2, 16 Nov 2013 Printer-friendly Version 
RC C330: 'Manuscript review', Anonymous Referee #3, 25 Nov 2013 Printer-friendly Version 
I. Klassen et al.
I. Klassen et al.


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