PREDICTING NEAR-BED SEDIMENT TRANSPORT THROUGH PARTICLE IMAGE VELOCIMETRY
ICCE 2022
PDF

How to Cite

PREDICTING NEAR-BED SEDIMENT TRANSPORT THROUGH PARTICLE IMAGE VELOCIMETRY. (2023). Coastal Engineering Proceedings, 37, papers.9. https://doi.org/10.9753/icce.v37.papers.9

Abstract

Coastal communities are growing globally, promoted by the ocean’s abundant opportunity for food, recreation, tourism, and green energy. Erosion and accretion along the coast significantly affect the safety of these communities and longevity of coastal infrastructure. To better predict rates of erosion and accretion, sediment transport models and active-bed thickness prediction techniques are of particular importance. Two dimensionless parameters, the Shields and Ursell parameters, are often used to predict rates of sediment transport and wave linearity. The goal of this project is to analyze sediment movement in a laboratory wave flume using particle image velocimetry (PIV). From the analysis we estimate the dimensionless parameters and instantaneous active-bed thickness to predict volumetric sediment transport rates as waves propagate shoreward.
PDF

References

Adrian, R. J., and J. Westerweel. 2011. Particle image velocimetry. Cambridge University Press.

Barnes, D., C. Tarragon, L. Davoli, and E. Palmieri. 2015. Coastal Vulnerability Analysis Along the

Coast of Pescara (Adriatic Sea, Central Italy). Coastal and beach erosion: Processes, adaptation

strategies and environmental impacts. Nova Science Publishers, Inc.

Buffington, J. M. 1999. The legend of A. F. shields. Journal of Hydraulic Engineering, 125(4), 376–

https://doi.org/10.1061/(asce)0733-9429(1999)125:4(376)

Dean, R. G., and R.A. Dalrymple. 2002. Coastal processes with engineering applications. Cambridge

University Press.

Dingemans, M. W. 1997. Water wave propagation over uneven bottoms. World scientific.

Dronkers, J. 2005. Dynamics of coastal systems (Vol. 25, Ser. Advanced Series on Ocean Engineering).

World Scientific.

Fenton, J. D. 1998. The Cnoidal Theory of Water Waves. J. B. Herbich (Ed.), Developments in

Offshore Engineering (pp. 1–32).

Hedges, T. S. 1995. Regions of validity of analytical wave theories. Proceedings of the Institution of

Civil Engineers - Water, Maritime and Energy, 112(2), 111–114.

https://doi.org/10.1680/iwtme.1995.27656

Mariño-Tapia, I. J., P.E. Russell, T.J. O'Hare, M.A. Davidson, and D.A. Huntley. 2007. Cross-shore

sediment transport on natural beaches and its relation to sandbar migration patterns: 1. field

observations and derivation of a transport parameterization. Journal of Geophysical Research,

(C3). https://doi.org/10.1029/2005jc002893

Masselink, G., M.J. Austin, T.J. O'Hare, and P.E. Russell. 2007. Geometry and dynamics of wave

ripples in the nearshore zone of a coarse sandy beach. Journal of Geophysical Research, 112(C10).

https://doi.org/10.1029/2006jc003839

Ostrowski, R. 2018. Influence of wave shape on sediment transport in coastal regions. Archives of

Hydro-Engineering and Environmental Mechanics, 65(2), 73–90. https://doi.org/10.1515/heem-

-0006

Raffel, M., C.E. Willert, F. Scarano, C.J. Kähler, S.T. Wereley, and J. Kompenhans. 2018. Particle

image velocimetry: A practical guide. Springer.

Roulund, A., J. Sutherland, D. Todd, and J. Sterner. 2016. Parametric equations for shields parameter

and wave orbital velocity in combined current and irregular waves. Scour and Erosion.

https://doi.org/10.1201/9781315375045-37

Shields, A. 1936. ‘‘Application of similarity principles and turbulence research to bed-load

movement.’’Hydrodynamics Laboratory Publ.No. 167, W. P. Ott, and J. C. van Uchelen, trans.,

U.S. Dept. of Agr.,Soil Conservation Service Cooperative Laboratory, California Institute of

Technology, Pasadena, Calif.

Stachurska, B., and R. Staroszczyk. 2019. Laboratory study of suspended sediment dynamics over a

mildly sloping sandy seabed. Oceanologia, 61(3), 350–367.

https://doi.org/10.1016/j.oceano.2019.01.006

Svendsen, I. A. 2006. Introduction to nearshore hydrodynamics. World Scientific Publishing.

Thielicke, W., and R. Sonntag. 2021. Particle image velocimetry for MATLAB: Accuracy and

enhanced algorithms in PIVlab. Journal of Open Research Software, 9(1), 12.

https://doi.org/10.5334/jors.334

Thielicke, W., and E.J. Stamhuis. 2014. PIVlab – towards user-friendly, affordable and accurate digital

particle image velocimetry in Matlab. Journal of Open Research Software, 2.

https://doi.org/10.5334/jors.bl

Valdenarro, R. B. 2020. Population geography. Delve Publishing.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2023 Caroline Hoch, Robert J. Weaver, Bret Webb, Don Resio, Nikole Ward, Caleb Lodge, Olivia Hopkin, Ruby Bouhassira, Nezamoddin N. Kachouie