Articles | Volume 10, issue 5
https://doi.org/10.5194/esurf-10-865-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-10-865-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Short communication: A tool for determining multiscale bedform characteristics from bed elevation data
Department of Environmental Sciences, Hydrology and Quantitative Water Management Group, Wageningen University & Research, Wageningen, the Netherlands
Suleyman Naqshband
Department of Environmental Sciences, Hydrology and Quantitative Water Management Group, Wageningen University & Research, Wageningen, the Netherlands
Antonius J. F. Hoitink
Department of Environmental Sciences, Hydrology and Quantitative Water Management Group, Wageningen University & Research, Wageningen, the Netherlands
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Cited articles
Abraham, D., Kuhnle, R. A., and Odgaard, A. J.: Validation of bed-load
transport measurements with time-sequenced bathymetric data, J. Hydraul. Eng., 137, 723–728, 2011. a
Ashley, G. M.: Classification of large-scale subaqueous bedforms; a new look at
an old problem, J. Sediment. Res., 60, 160–172, 1990. a
Best, J. and Kostaschuk, R.: An experimental study of turbulent flow over a
low-angle dune, J. Geophys. Res.-Oceans, 107, 3135, https://doi.org/10.1029/2000JC000294, 2002. a
Bradley, R. W. and Venditti, J. G.: Reevaluating dune scaling relations,
Earth Sci. Rev., 165, 356–376, 2017. a
Bradley, R. W. and Venditti, J. G.: Mechanisms of dune growth and decay in
rivers, Geophys. Res. Lett., 48, e2021GL094572, https://doi.org/10.1029/2021GL094572, 2021. a
Carling, P., Golz, E., Orr, H., and Radecki-Pawlik, A.: The morphodynamics of
fluvial sand dunes in the River Rhine, near Mainz, Germany, I.
Sedimentology and morphology, Sedimentology, 47, 227–252, 2000. a
Cellino, M. and Graf, W.: Experiments on suspension flow in open channels with
bed forms, J. Hydraul. Res., 38, 289–298, 2000. a
Chen, J., Wang, Z., Li, M., Wei, T., and Chen, Z.: Bedform characteristics
during falling flood stage and morphodynamic interpretation of the
middle–lower Changjiang (Yangtze) River channel, China, Geomorphology, 147, 18–26, 2012. a
Cisneros, J., Best, J., Van Dijk, T., de Almeida, R. P., Amsler, M., Boldt, J.,
Freitas, B., Galeazzi, C., Huizinga, R., Ianniruberto, M., Ma, H., Nittrouer, J., Oberg, K., Orfeo, O., Parsons, D., Szupiany, R. N., Wang, P., and Zhang, Y.: Dunes in
the world’s big rivers are characterized by low-angle lee-side slopes and a
complex shape, Nat. Geosci., 13, 156–162, 2020. a, b, c, d, e
Galeazzi, C. P., Almeida, R. P., Mazoca, C. E., Best, J. L., Freitas, B. T.,
Ianniruberto, M., Cisneros, J., and Tamura, L. N.: The significance of
superimposed dunes in the Amazon River: implications for how large rivers
are identified in the rock record, Sedimentology, 65, 2388–2403, 2018. a, b, c
Ganti, V., Paola, C., and Foufoula-Georgiou, E.: Kinematic controls on the
geometry of the preserved cross sets, J. Geophys. Res.-Earth
Surf., 118, 1296–1307, 2013. a
Harbor, D. J.: Dynamics of bedforms in the lower Mississippi River, J. Sediment. Res., 68, 750–762, 1998. a
Kostaschuk, R. A. and Venditti, J. G.: Why do large, deep rivers have low-angle dune beds?, Geology, 47, 919–922, 2019. a
Kwoll, E., Venditti, J., Bradley, R., and Winter, C.: Observations of coherent
flow structures over subaqueous high-and low-angle dunes, J. Geophys. Res.-Earth Surf., 122, 2244–2268, 2017. a
Lee, J., Musa, M., and Guala, M.: Scale-dependent bedform migration and
deformation in the physical and spectral domains, J. Geophys. Res.-Earth Surf., 126, e2020JF005811, https://doi.org/10.1029/2020JF005811, 2021. a, b, c
Lefebvre, A. and Winter, C.: Predicting bed form roughness: the influence of
lee side angle, Geo-Mar. Lett., 36, 121–133, 2016. a
Lefebvre, A., Herrling, G., Becker, M., Zorndt, A., Krämer, K., and Winter, C.: Morphology of estuarine bedforms, Weser Estuary, Germany, Earth Surf. Proc. Land., 47, 242–256, https://doi.org/10.1002/esp.5243, 2021. a
Lefebvre, A., Herrling, G., Becker, M., Zorndt, A., Krämer, K., and Winter,
C.: Morphology of estuarine bedforms, Weser Estuary, Germany, Earth Surf. Proc. Land., 47, 242–256, 2022. a
Maddux, T., McLean, S., and Nelson, J.: Turbulent flow over three-dimensional
dunes: 2, Fluid and bed stresses, J. Geophys. Res.-Earth Surf., 108, 6010, https://doi.org/10.1029/2003JF000018, 2003a. a
Maddux, T., Nelson, J., and McLean, S.: Turbulent flow over three-dimensional
dunes: 1, Free surface and flow response, J. Geophys. Res.-Earth Surf., 108, 6009, https://doi.org/10.1029/2003JF000017, 2003b. a
McElroy, B. and Mohrig, D.: Nature of deformation of sandy bed forms, J. Geophys. Res.-Earth Surf., 114, F00A04, https://doi.org/10.1029/2008JF001220, 2009. a
McLean, S., Wolfe, S., and Nelson, J.: Predicting boundary shear stress and
sediment transport over bed forms, J. Hydraul. Eng., 125,
725–736, 1999. a
Naqshband, S. and Hoitink, A.: Scale-dependent evanescence of river dunes
during discharge extremes, Geophys. Res. Lett., 47, e2019GL085902, https://doi.org/10.1029/2019GL085902, 2020. a
Nelson, J. M., McLean, S. R., and Wolfe, S. R.: Mean flow and turbulence fields
over two-dimensional bed forms, Water Resour. Res., 29, 3935–3953,
1993. a
Nelson, J. M., Shreve, R. L., McLean, S. R., and Drake, T. G.: Role of near-bed
turbulence structure in bed load transport and bed form mechanics, Water
Resour. Res., 31, 2071–2086, 1995. a
Parsons, D. R., Best, J. L., Orfeo, O., Hardy, R. J., Kostaschuk, R., and Lane,
S. N.: Morphology and flow fields of three-dimensional dunes, Rio
Paraná, Argentina: Results from simultaneous multibeam echo sounding
and acoustic Doppler current profiling, J. Geophys. Res.-Earth Surf., 110, F04S03, https://doi.org/10.1029/2004JF000231, 2005. a, b
Reesink, A. and Bridge, J.: Influence of superimposed bedforms and flow
unsteadiness on formation of cross strata in dunes and unit bars, Sediment.
Geol., 202, 281–296, 2007. a
Reesink, A., Parsons, D., Ashworth, P., Best, J., Hardy, R., Murphy, B.,
McLelland, S., and Unsworth, C.: The adaptation of dunes to changes in river
flow, Earth-Sci. Rev., 185, 1065–1087, 2018. a
Schlax, M. G. and Chelton, D. B.: Frequency domain diagnostics for linear
smoothers, J. Am. Stat. Assoc., 87, 1070–1081, 1992. a
Simons, D. B., Richardson, E. V., and Nordin, C. F.: Bedload equation for
ripples and dunes, U.S. Geol. Surv. Prof. Pap., US Government Printing Office, vol. 462, 1965. a
van Dijk, T. A., Lindenbergh, R. C., and Egberts, P. J.: Separating bathymetric
data representing multiscale rhythmic bed forms: A geostatistical and
spectral method compared, J. Geophys. Res.-Earth Surf.,
113, F04017, https://doi.org/10.1029/2007JF000950, 2008. a, b, c, d
Venditti, J. G., Church, M., and Bennett, S. J.: Morphodynamics of small-scale
superimposed sand waves over migrating dune bed forms, Water Resour.
Res., 41, W10423, https://doi.org/10.1029/2004WR003461, 2005. a
Venditti, J. G., Lin, C.-Y. M., and Kazemi, M.: Variability in bedform
morphology and kinematics with transport stage, Sedimentology, 63,
1017–1040, 2016. a
Zomer, J.: Supporting data for the publication: “A tool for determining multiscale bedform characteristics from bed elevation data”, v2, 4TU.ResearchData [data set], https://doi.org/10.4121/19620093, 2022a. a
Zomer, J. Y.: Bedform Separation and Identification tool, Zenodo [code], https://doi.org/10.5281/zenodo.6949082, 2022b. a
Short summary
Riverbeds are often composed of different scales of dunes, whose sizes and shapes are highly variable over time and space. Characterization of these dunes is important in many research studies focused on fluvial processes. A tool is presented here that aims to identify different scales of dunes from riverbed elevation maps. A first step is to separate two scales of bedforms without smoothing steep slopes of the larger dunes. In a second step, dunes are identified and properties are computed.
Riverbeds are often composed of different scales of dunes, whose sizes and shapes are highly...