Articles | Volume 8, issue 4
https://doi.org/10.5194/esurf-8-1067-2020
© Author(s) 2020. 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-8-1067-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Dec 2020
Research article |
| 21 Dec 2020
| 21 Dec 2020
Inertial drag and lift forces for coarse grains on rough alluvial beds measured using in-grain accelerometers
Georgios Maniatis
CORRESPONDING AUTHOR
School of Environment and Technology, University of Brighton, Brighton, UK
Trevor Hoey
Department of Civil and Environmental Engineering, Brunel University London, London, UK
Rebecca Hodge
Department of Geography, Durham University, Durham, UK
Dieter Rickenmann
Swiss Federal Institute WSL, Zurich, Switzerland
Alexandre Badoux
Swiss Federal Institute WSL, Zurich, Switzerland
Related authors
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Zheng Chen, Siming He, Alexandre Badoux, and Dieter Rickenmann
Earth Surf. Dynam., 13, 1181–1203, https://doi.org/10.5194/esurf-13-1181-2025, https://doi.org/10.5194/esurf-13-1181-2025, 2025
Short summary
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We designed a novel surrogate bedload monitoring system that integrates phased microphone arrays and an accelerometer for enhanced performance. By combining beamforming-based localization with amplitude calibration, we demonstrate a viable approach to enhance the reliability of bedload measurements. These findings address the key question of whether impact-based acoustic systems can be refined to provide more accurate particle size estimates and offer conceptual and methodological advances.
Dieter Rickenmann
EGUsphere, https://doi.org/10.5194/egusphere-2025-5178, https://doi.org/10.5194/egusphere-2025-5178, 2025
This preprint is open for discussion and under review for Earth Surface Dynamics (ESurf).
Short summary
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Field measurements of the bedload flux with a high temporal resolution in several Swiss mountain streams were used to analyse the transport variability. The measurements were analysed for short-term transport events typically covering a duration of a few weeks and by considering multi-year annual transport totals. The findings show substantial variability both within and across sites, likely reflecting the influence of sediment availability, stream slope, streambed texture and flow history.
Claire C. Masteller, Joel P. L. Johnson, Dieter Rickenmann, and Jens M. Turowski
Earth Surf. Dynam., 13, 593–605, https://doi.org/10.5194/esurf-13-593-2025, https://doi.org/10.5194/esurf-13-593-2025, 2025
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This paper presents a novel model that predicts how gravel riverbeds may evolve in response to differences in the frequency and severity of flood events. We test our model using a 23-year-long record of river flow and gravel transport from the Swiss Prealps. We find that our model reliably captures yearly patterns in gravel transport in this setting. Our new model is a major advance towards better predictions of river erosion that account for the flood history of a gravel-bed river.
Laura A. Quick, Trevor B. Hoey, Richard David Williams, Richard J. Boothroyd, Pamela M. L. Tolentino, and Carlo P. C. David
EGUsphere, https://doi.org/10.5194/egusphere-2025-2722, https://doi.org/10.5194/egusphere-2025-2722, 2025
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The shape of a river influences flow and therefore how much sediment is transported. Directly measuring sediment transport is challenging at the catchment-scale but numerical modelling can enable the prediction of sediment erosion and transport. We use flow model to map patterns of bedload transport rates to reveal patterns associated with different river patterns (i.e. meandering, wandering, braided and deltaic). We show spatial variability in bedload transport is a function of channel pattern.
Octria A. Prasojo, Trevor B. Hoey, Amanda Owen, and Richard D. Williams
Earth Surf. Dynam., 13, 349–363, https://doi.org/10.5194/esurf-13-349-2025, https://doi.org/10.5194/esurf-13-349-2025, 2025
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Decades of delta avulsion (i.e. channel abrupt jump) studies have not resolved what the main controls of delta avulsion are. Using a computer model, integrated with field observation, analytical, and laboratory-made deltas, we found that the sediment load, which itself is controlled by the steepness of the river upstream of a delta, controls the timing of avulsion. We can now better understand the main cause of abrupt channel changes in deltas, a finding that aids flood risk management in river deltas.
Holly Wytiahlowsky, Chris R. Stokes, Rebecca A. Hodge, Caroline C. Clason, and Stewart S. R. Jamieson
EGUsphere, https://doi.org/10.5194/egusphere-2024-3894, https://doi.org/10.5194/egusphere-2024-3894, 2025
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Channels on glaciers are important due to their role in transporting glacial meltwater from glaciers and into downstream river catchments. These channels have received little research in mountain environments. We manually mapped <2000 channels to determine their distribution and characteristics across 285 glaciers in Switzerland. We find that channels are mostly commonly found on large glaciers with lower relief and fewer crevasses. Most channels run off the glacier, but 20 % enter the glacier.
Trevor B. Hoey, Pamela Louise M. Tolentino, Esmael L. Guardian, John Edward G. Perez, Richard D. Williams, Richard J. Boothroyd, Carlos Primo C. David, and Enrico C. Paringit
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-188, https://doi.org/10.5194/hess-2024-188, 2024
Revised manuscript accepted for HESS
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Estimating the sizes of flood events is critical for flood-risk management and other activities. We used data from several sources in a statistical analysis of flood size for rivers in the Philippines. Flood size is mainly controlled by the size of the river catchment, along with the volume of rainfall. Other factors, such as land-use, appear to play only minor roles in flood size. The results can be used to estimate flood size for any river in the country alongside other local information.
Dieter Rickenmann
Earth Surf. Dynam., 12, 11–34, https://doi.org/10.5194/esurf-12-11-2024, https://doi.org/10.5194/esurf-12-11-2024, 2024
Short summary
Short summary
Field measurements of the bedload flux with a high temporal resolution in a steep mountain stream were used to analyse the transport fluctuations as a function of the flow conditions. The disequilibrium ratio, a proxy for the solid particle concentration in the flow, was found to influence the sediment transport behaviour, and above-average disequilibrium conditions – associated with a larger sediment availability on the streambed – substantially affect subsequent transport conditions.
Nicolas Steeb, Virginia Ruiz-Villanueva, Alexandre Badoux, Christian Rickli, Andrea Mini, Markus Stoffel, and Dieter Rickenmann
Earth Surf. Dynam., 11, 487–509, https://doi.org/10.5194/esurf-11-487-2023, https://doi.org/10.5194/esurf-11-487-2023, 2023
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Various models have been used in science and practice to estimate how much large wood (LW) can be supplied to rivers. This contribution reviews the existing models proposed in the last 35 years and compares two of the most recent spatially explicit models by applying them to 40 catchments in Switzerland. Differences in modelling results are discussed, and results are compared to available observations coming from a unique database.
Dieter Rickenmann, Lorenz Ammann, Tobias Nicollier, Stefan Boss, Bruno Fritschi, Gilles Antoniazza, Nicolas Steeb, Zheng Chen, Carlos Wyss, and Alexandre Badoux
Earth Surf. Dynam., 10, 1165–1183, https://doi.org/10.5194/esurf-10-1165-2022, https://doi.org/10.5194/esurf-10-1165-2022, 2022
Short summary
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The Swiss plate geophone system has been installed and tested in more than 20 steep gravel-bed streams. It is an indirect bedload transport measuring system. We compare the performance of this system with three alternative surrogate measuring systems, using calibration measurements with direct bedload samples from three field sites and an outdoor flume facility. Three of the four systems resulted in robust calibration relations between signal impulse counts and transported bedload mass.
Tobias Nicollier, Gilles Antoniazza, Lorenz Ammann, Dieter Rickenmann, and James W. Kirchner
Earth Surf. Dynam., 10, 929–951, https://doi.org/10.5194/esurf-10-929-2022, https://doi.org/10.5194/esurf-10-929-2022, 2022
Short summary
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Monitoring sediment transport is relevant for flood safety and river restoration. However, the spatial and temporal variability of sediment transport processes makes their prediction challenging. We investigate the feasibility of a general calibration relationship between sediment transport rates and the impact signals recorded by metal plates installed in the channel bed. We present a new calibration method based on flume experiments and apply it to an extensive dataset of field measurements.
Zheng Chen, Siming He, Tobias Nicollier, Lorenz Ammann, Alexandre Badoux, and Dieter Rickenmann
Earth Surf. Dynam., 10, 279–300, https://doi.org/10.5194/esurf-10-279-2022, https://doi.org/10.5194/esurf-10-279-2022, 2022
Short summary
Short summary
Bedload flux quantification remains challenging in river dynamics due to variable transport modes. We used a passive monitoring device to record the acoustic signals generated by the impacts of bedload particles with different transport modes, and established the relationship between the triggered signals and bedload characteristics. The findings of this study could improve our understanding of the monitoring system and bedload transport process, and contribute to bedload size classification.
Jacob Hirschberg, Alexandre Badoux, Brian W. McArdell, Elena Leonarduzzi, and Peter Molnar
Nat. Hazards Earth Syst. Sci., 21, 2773–2789, https://doi.org/10.5194/nhess-21-2773-2021, https://doi.org/10.5194/nhess-21-2773-2021, 2021
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Debris-flow prediction is often based on rainfall thresholds, but uncertainty assessments are rare. We established rainfall thresholds using two approaches and find that 25 debris flows are needed for uncertainties to converge in an Alpine basin and that the suitable method differs for regional compared to local thresholds. Finally, we demonstrate the potential of a statistical learning algorithm to improve threshold performance. These findings are helpful for early warning system development.
Cited articles
Akeila, E., Salcic, Z., and Swain, A.: Smart pebble for monitoring riverbed
sediment transport, IEEE Sensors J., 10, 1705–1717, 2010. a
Ali, S. Z. and Dey, S.: Hydrodynamics of sediment threshold, Phys. Fluids,
28, 075103, https://doi.org/10.1063/1.4955103, 2016. a
Ancey, C., Davison, A., Böhm, T., Jodeau, M., and Frey, P.: Entrainment and motion of coarse particles in a shallow water stream down a steep slope,
J. Fluid Mech., 595, 83–114, 2008. a
Ashida, K. and Michiue, M.: An investigation of river bed degradation
downstream of a dam, in: in Proceedings of 14th Int. Association of Hydraulic Research Congress, vol. 3, Wallingford, UK, 247–255, 1971. a
Begin, Z. and Schumm, S.: Instability of alluvial valley floors: a method for
its assessment, T. ASAE, 22, 347–350, 1979. a
Buffington, J. M. and Montgomery, D. R.: A systematic analysis of eight decades of incipient motion studies, with special reference to gravel-bedded rivers, Water Resour. Res., 33, 1993–2029, 1997. a
Buffington, J. M., Dietrich, W. E., and Kirchner, J. W.: Friction angle
measurements on a naturally formed gravel streambed: implications for
critical boundary shear stress, Water Resour. Res., 28, 411–425, 1992. a
Bunte, K., Abt, S. R., Potyondy, J. P., and Ryan, S. E.: Measurement of coarse gravel and cobble transport using portable bedload traps, J. Hydraul. Eng., 130, 879–893, 2004. a
Burtin, A., Hovius, N., McArdell, B. W., Turowski, J. M., and Vergne, J.: Seismic constraints on dynamic links between geomorphic processes and routing of sediment in a steep mountain catchment, Earth Surf. Dynam., 2, 21–33, https://doi.org/10.5194/esurf-2-21-2014, 2014. a
Celik, A. O., Diplas, P., Dancey, C. L., and Valyrakis, M.: Impulse and
particle dislodgement under turbulent flow conditions, Phys. Fluids, 22, 046601, https://doi.org/10.1063/1.3385433, 2010. a, b, c, d
Clifford, M.: Detecting Freefall with Low-G Accelerometers, Sensor and Analog Products Division, Tempe, AZ, 2006. a
Coleman, S. and Nikora, V.: A unifying framework for particle entrainment,
Water Resour. Res., 44, W04415, https://doi.org/10.1029/2007WR006363, 2008. a, b
Cullen, A. C., Frey, H. C., and Frey, C. H.: Probabilistic techniques in
exposure assessment: a handbook for dealing with variability and uncertainty
in models and inputs, Springer Science & Business Media, USA, 1999. a
De Agostino, M., Manzino, A. M., and Piras, M.: Performances comparison of
different MEMS-based IMUs, in: IEEE/ION Position, Location and Navigation
Symposium, 4–6 May 2010, Palm Springs, California, 187–201, 2010. a
Delignette-Muller, M. L. and Dutang, C.: fitdistrplus: An R package for fitting distributions, J. Stat. Softw., 64, 1–34, 2015. a
Demir, T.: The influence of particle shape on bedload transport in coarse-bed
river channels, PhD thesis, Durham University, Durham, 2000. a
Dey, S.: Sediment threshold, Appl. Math. Model., 23, 399–417, 1999. a
Dey, S. and Ali, S. Z.: Advances in modeling of bed particle entrainment
sheared by turbulent flow, Phys. Fluids, 30, 061301, https://doi.org/10.1063/1.5030458, 2018. a, b, c, d
Diebel, J.: Representing attitude: Euler angles, unit quaternions, and rotation vectors, Matrix, 58, 1–35, 2006. a
Drake, T. G., Shreve, R. L., Dietrich, W. E., Whiting, P. J., and Leopold, L. B.: Bedload transport of fine gravel observed by motion-picture photography, J. Fluid Mech., 192, 193–217, 1988. a
Ergenzinger, P. and Jupner, R.: Using COSSY (CObble Satellite SYstem) for
measuring the effects of lift and drag forces, Erosion and Sediment Transport Monitoring Programmes in river Basins, IAHS Publications, Oslo, 41–50, 1992. a
Fathel, S., Furbish, D., and Schmeeckle, M.: Parsing anomalous versus normal
diffusive behavior of bed load sediment particles, Earth Surf. Proc. Land., 41, 1797–1803, https://doi.org/10.1002/esp.3994, 2016. a
Ferguson, R. I., Bloomer, D. J., Hoey, T. B., and Werritty, A.: Mobility of
river tracer pebbles over different timescales, Water Resour. Res., 38, 1045, https://doi.org/10.1029/2001WR00025, 2002. a
Frank, D., Foster, D., Sou, I. M., Calantoni, J., and Chou, P.: Lagrangian
measurements of incipient motion in oscillatory flows, J. Geophys. Res.-Oceans, 120, 244–256, 2015. a
Garcia, C., Cohen, H., Reid, I., Rovira, A., Úbeda, X., and Laronne, J. B.: Processes of initiation of motion leading to bedload transport in gravel-bed rivers, Geophys. Res. Lett., 34, L06403, https://doi.org/10.1029/2006GL028865, 2007. a
Gebre-Egziabher, D., Hayward, R. C., and Powell, J. D.: A low-cost GPS/inertial attitude heading reference system (AHRS) for general aviation
applications, in: Position Location and Navigation Symposium, IEEE 1998,
20–23 April 1996, Palm Springs, CA, USA, 518–525, 1998. a
Gimbert, F., Fuller, B. M., Lamb, M. P., Tsai, V. C., and Johnson, J. P.:
Particle transport mechanics and induced seismic noise in steep flume
experiments with accelerometer-embedded tracers, Earth Surf. Proc. Land., 44, 219–241, https://doi.org/10.1002/esp.4495, 2019. a, b
Grewal, M. S., Weill, L. R., and Andrews, A. P.: Global positioning systems,
inertial navigation, and integration, John Wiley & Sons, USA, 2007. a
Hamilton, W. R.: II. On quaternions; or on a new system of imaginaries in
algebra, London Edinburgh Dublin Philos. Mag. J. Sci., 25, 10–13, 1844. a
Hassan, M. A. and Roy, A. G.: Coarse particle tracing in fluvial geomorphology, in: Tools in Fluvial Geomorphology, edited by: Kondolf, G. M. and Piégay, H., John Wiley & Sons, Ltd, UK, https://doi.org/10.1002/9781118648551.ch14, 2016. a
Hassan, M. A., Church, M., and Schick, A. P.: Distance of movement of coarse
particles in gravel bed streams, Water Resour. Res., 27, 503–511, 1991. a
Hassan, M. A., Church, M., and Ashworth, P. J.: Virtual rate and mean distance of travel of individual clasts in gravel-bed channels, Earth Surf.
Proc. Land., 17, 617–627, 1992. a
Hassan, M. A., Voepel, H., Schumer, R., Parker, G., and Fraccarollo, L.:
Displacement characteristics of coarse fluvial bed sediment, J. Geophys. Res.-Earth, 118, 155–165, 2013. a
Hodge, R. A., Sear, D. A., and Leyland, J.: Spatial variations in surface
sediment structure in riffle–pool sequences: a preliminary test of the
Differential Sediment Entrainment Hypothesis (DSEH), Earth Surf. Proc. Land.,
38, 449–465, 2013. a
Ikeda, S.: Incipient motion of sand particles on side slopes, J. Hydraul. Div., 108, 95–114, 1982. a
Iwagaki, Y.: Basic studies on the critical tractive force (1), Trans. JSCE, 31, 1–20, 1956. a
Johnson, J. P. L.: Gravel threshold of motion: a state function of sediment transport disequilibrium?, Earth Surf. Dynam., 4, 685–703, https://doi.org/10.5194/esurf-4-685-2016, 2016. a
Johnson, M. F., Rice, S. P., and Reid, I.: Increase in coarse sediment transport associated with disturbance of gravel river beds by signal crayfish
(Pacifastacus Leniusculus), Earth Surf. Proc. Land., 36, 1680–1692, 2011. a
Kirchner, J. W., Dietrich, W. E., Iseya, F., and Ikeda, H.: The variability of critical shear stress, friction angle, and grain protrusion in water-worked sediments, Sedimentology, 37, 647–672,
https://doi.org/10.1111/j.1365-3091.1990.tb00627.x, 1990. a
Kline, S., Reynolds, W., Schraub, F., and Runstadler, P.: The structure of
turbulent boundary layers, J. Fluid Mech., 30, 741–773,
https://doi.org/10.1017/S0022112067001740, 1967. a
Komar, P. D. and Li, Z.: Pivoting analyses of the selective entrainment of
sediments by shape and size with application to gravel threshold,
Sedimentology, 33, 425–436, 1986. a
Komar, P. D. and Li, Z.: Applications of grain-pivoting and sliding analyses to selective entrapment of gravel and to flow-competence evaluations,
Sedimentology, 35, 681–695, 1988. a
Kularatna, N., Melville, B., Akeila, E., and Kularatna, D.: Implementation
aspects and offline digital signal processing of a smart pebble for river bed
sediment transport monitoring, in: 5th IEEE Conference on Sensors, Nashville, Tenesse, USA, 1093–1098, 2006. a
Liedermann, M., Tritthart, M., and Habersack, H.: Particle path
characteristics at the large gravel-bed river Danube: results from a tracer
study and numerical modelling, Earth Surf. Proc. Land., 38, 512–522, 2012. a
Maniatis, G.: ESD, Inertial drag and lift forces for coarse grains measured using in-grain accelerometer, Zenodo, https://doi.org/10.5281/zenodo.4358095, 2020. a
Maniatis, G., Hoey, T., and Sventek, J.: Sensor Enclosures: example Application and Implications for Data Coherence, J. Sensor Actuat. Netw., 2, 761, https://doi.org/10.3390/jsan2040761, 2013. a, b, c, d
Maniatis, G., Hoey, T. B., Hassan, M. A., Sventek, J., Hodge, R., Drysdale, T., and Valyrakis, M.: Calculating the explicit probability of entrainment based on inertial acceleration measurements, J. Hydraul. Eng., 143, 04016097, https://doi.org/10.1061/(ASCE)HY.1943-7900.0001262, 2017. a, b, c
Marion, A. and Tregnaghi, M.: A new theoretical framework to model incipient
motion of sediment grains and implications for the use of modern experimental
techniques, in: Experimental and Computational Solutions of Hydraulic Problems, Springer, Łochów, Poland , 85–100, 2013. a
Masteller, C. C., Finnegan, N. J., Turowski, J. M., Yager, E. M., and Rickenmann, D.: History-Dependent Threshold for Motion Revealed by Continuous Bedload Transport Measurements in a Steep Mountain Stream, Geophys. Res. Lett., 46, 2583–2591, 2019. a
McEwan, I., Habersack, H., and Heald, J.: Discrete particle modelling and
active tracers: new techniques for studying sediment transport as a Lagrangian phenomenon, in: Gravel bed rivers V, edited by: Mosley, M. P., Hydrological Society, Wellington, New Zealand, 339–360, 2001. a
Murdoch, D.: Orientlib: An R package for orientation data, J. Stat. Softw., 8, 1–11, 2003. 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
Niño, Y. and García, M.: Using Lagrangian particle saltation observations for bedload sediment transport modelling, Hydrol. Process., 12, 1197–1218, 1998. a
Olinde, L. and Johnson, J. P.: Using RFID and accelerometer-embedded tracers
to measure probabilities of bed load transport, step lengths, and rest times
in a mountain stream, Water Resour. Res., 51, 7572–7589, 2015. a
O'Reilly, O.: Intermediate Dynamics for Engineers: A Unified Treatment of Newton–Euler and Lagrangian Mechanics, Cambridge University Press, Cambridge, https://doi.org/10.1017/CBO9780511791352, 2008. a, b
Prancevic, J. P. and Lamb, M. P.: Particle friction angles in steep mountain
channels, J. Geophys. Res.-Earth, 120, 242–259, 2015. a
Recking, A., Piton, G., Vazquez-Tarrio, D., and Parker, G.: Quantifying the
morphological print of bedload transport, Earth Surf. Proc. Land., 41, 809–822, https://doi.org/10.1002/esp.3869, 2015. a
Rickenmann, D., Turowski, J. M., Fritschi, B., Klaiber, A., and Ludwig, A.:
Bedload transport measurements at the Erlenbach stream with geophones and
automated basket samplers, Earth Surf. Proc. Land., 37, 1000–1011, 2012. a
Schmeeckle, M. W. and Nelson, J. M.: Direct numerical simulation of bedload
transport using a local, dynamic boundary condition, Sedimentology, 50, 279–301, 2003. a
Schmeeckle, M. W., Nelson, J. M., and Shreve, R. L.: Forces on stationary
particles in near-bed turbulent flows, J. Geophys. Res.-Earth, 112, F02003, https://doi.org/10.1029/2006JF000536, 2007. a, b, c
Schmidt, K.-H. and Ergenzinger, P.: Bedload entrainment, travel lengths, step
lengths, rest periods – studied with passive (iron, magnetic) and active
(radio) tracer techniques, Earth Surf. Proc. Land., 17, 147–165, 1992. a
Schneider, J. M., Turowski, J. M., Rickenmann, D., Hegglin, R., Arrigo, S.,
Mao, L., and Kirchner, J. W.: Scaling relationships between bed load volumes,
transport distances, and stream power in steep mountain channels, J. Geophys. Res.-Earth, 119, 533–549, 2014. a
Shvidchenko, A. B. and Pender, G.: Flume study of the effect of relative depth on the incipient motion of coarse uniform sediments, Water Resour. Res., 36, 619–628, 2000. a
Singh, A., Fienberg, K., Jerolmack, D. J., Marr, J., and Foufoula-Georgiou, E.: Experimental evidence for statistical scaling and intermittency in sediment transport rates, J. Geophys. Res.-Earth, 114, F01025, https://doi.org/10.1029/2007JF000963, 2009. a, b
Spazzapan, M., Petrovčič, J., and Mikoš, M.: New tracer for
monitoring dynamics of sediment transport in turbulent flows, Acta Hydrotech., 22, 135–148, 2004. a
Système: Dassault Systèmes, SolidWorks Software webpage,
available at: http://www.solidworks.com (last access: 1 July 2020), 2016. a
Tsakiris, A. G., Papanicolaou, A., Moustakidis, I., and Abban, B. K.:
Identification of the Burial Depth of Radio Frequency Identification
Transponders in Riverine Applications, J. Hydraul. Eng., 141, 04015007, https://doi.org/10.1061/(ASCE)HY.1943-7900.0001001, 2015. a
Tucker, G. E. and Hancock, G. R.: Modelling landscape evolution, Earth Surf.
Proc. Land., 35, 28–50, 2010. a
Turowski, J. M., Badoux, A., and Rickenmann, D.: Start and end of bedload
transport in gravel-bed streams, Geophys. Res. Lett., 38, L04401, https://doi.org/10.1029/2010GL046558, 2011. a
Valyrakis, M., Diplas, P., Dancey, C. L., Greer, K., and Celik, A. O.: Role of instantaneous force magnitude and duration on particle entrainment, J. Geophys. Res.-Earth, 115, F02006, https://doi.org/10.1029/2008JF001247, 2010. a, b, c, d
Valyrakis, M., Diplas, P., and Dancey, C. L.: Entrainment of coarse grains in
turbulent flows: An extreme value theory approach, Water Resour. Res., 47, W09512, https://doi.org/10.1029/2010WR010236, 2011.
a
Van Rijn, L. C.: Sediment transport, part I: bed load transport, J. Hydraul. Eng., 110, 1431–1456, 1984. a
VectorNav: Inertial Measurement Units and Inertial Navigation, VecotrNav
webpage, available at: https://www.vectornav.com/support/library/imu-and-ins, last access:
9 May 2016. a
Vignaga, E., Sloan, D. M., Luo, X., Haynes, H., Phoenix, V. R., and Sloan,
W. T.: Erosion of biofilm-bound fluvial sediments, Nat. Geosci., 6, 770–774, 2013. a
Whitmore, S. A.: Closed-form integrator for the quaternion (Euler angle)
kinematics equations, US Patent 6,061,611, 2000. a
Woodman, O. J.: An introduction to inertial navigation, Technical Report UCAMCL-TR-696, 14, University of Cambridge, Computer Laboratory, Cambridge, 2007. a
Yalin, M. S.: An expression for bed-load transportation, J. Hydraul. Div., 89, 221–250, 1963. a
Zekavat, R. and Buehrer, R. M.: Handbook of Position Location: Theory, Practice and Advances, in: vol. 27, John Wiley & Sons, USA, 2011. a
Zhao, F. and van Wachem, B.: A novel Quaternion integration approach for
describing the behaviour of non-spherical particles, Acta Mechanica, 224,
3091–3109, 2013. a
Short summary
One of the most interesting problems in geomorphology concerns the conditions that mobilise sediments grains in rivers. Newly developed
smartpebbles allow for the measurement of those conditions directly if a suitable framework for analysis is followed. This paper connects such a framework with the physics used to described sediment motion and presents a series of laboratory and field smart-pebble deployments. Those quantify how grain shape affects the motion of coarse sediments in rivers.
One of the most interesting problems in geomorphology concerns the conditions that mobilise...
