Using Continuous Turbidity and Seismic Measurements to Unravel Sediment Provenance and Interaction Between Suspended and Bedload Transport in an Alpine Catchment

Misset, Clément; Recking, Alain; Legoût, Cédric; Bakker, Maarten; Gimbert, Florent; Geay, Thomas; Zanker, Sébastien

doi:10.1029/2020gl090696

Cited by 10 publications

(7 citation statements)

References 62 publications

(110 reference statements)

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“…The combination of RFID and geophone environmental stations allowed surveying of tracer passages and seismic activity over a period of several months, and facilitated detection of shifts in river system dynamics in pre‐ and post‐flood analyses. The comparison of the efficiencies of flow discharge and seismic activity for predicting the virtual velocity of tracers showed that seismic activity, as for suspended load prediction (Misset et al, 2021), is a better predictive factor than flow discharge. The results of the multiple regression analysis also confirmed, in‐river, the contribution of the particle shape to the observed virtual velocity.…”

Section: Discussionmentioning

confidence: 99%

“…Geophones have been used to study glacial lake outbursts (Cook et al, 2018), debris flow triggering in torrents (Bel et al, 2017; Navratil et al, 2013; Roth et al, 2017), gravel mobilisation (Schmandt et al, 2017), and bedload transport downstream of hydropower dams (Aigner et al, 2017) and in near‐natural Alpine streams (Misset et al, 2020). Such monitoring programmes often combine geophone sensors with quantification of turbidity (Misset et al, 2021), flow rheological characterisation (Navratil et al, 2013), pluviometry (Bel et al, 2017), topographic survey (Cook et al, 2018; Schmandt et al, 2017) and bedload flux sampling (Aigner et al, 2017; Misset et al, 2020; Rickenmann et al, 2012), but they only rarely include sediment tracers (Habersack et al, 2010; Misset et al, 2020; Schneider et al, 2014), which until recently were only used to explore event‐based transport conditions, and not instantaneous ones.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of pebble virtual velocities by combining active RFID fixed stations with geophones

Cassel

Navrátil

Liébault

et al. 2023

Earth Surf Processes Landf

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Monitoring bedload transport in rivers is a challenging research domain teeming with technical innovations and methodological developments aimed at improving our knowledge and models of bedload processes at different spatial–temporal scales. Radio frequency identification (RFID) technology has improved sediment tracking, allowing the characterisation of transport processes of individual particles at flood‐event scales. Meanwhile, geophone sensors have enabled the long‐term continuous monitoring of seismic signals that can provide surrogate measures of bedload fluxes at local scales, during flood events and at sediment‐pulses. The combination of these two techniques could allow sediment transport processes to be linked with both flood events and sediment pulses. In this study, we used a combination of active ultra‐high frequency RFID technology and geophone monitoring stations to link the virtual velocity of tracers with seismic activity, hydraulic forcing, and the properties of the tracked particles. Single and multiple regression models show that seismic activity best explained the observed variance (81%) of the virtual velocity of particles, in comparison with discharge (58%) and stream power (63%). Furthermore, when several control variables (seismic activity and particle properties) were combined in an empirical model, the model explained 89% of the variance and allowed quantification of the portions of the variance explained by hydraulic forcing, geophonic activity and tracked particles. These results show the high potential of these combined monitoring techniques for future in‐field experiments to investigate bedload processes at different spatiotemporal scales in rivers of different morphologies.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of pebble virtual velocities by combining active RFID fixed stations with geophones

Cassel

Navrátil

Liébault

et al. 2023

Earth Surf Processes Landf

Self Cite

View full text Add to dashboard Cite

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“…Future research should focus on obtaining distributed estimates of bedload flux to properly quantify change in sediment availability, and its effect on the streamflow‐bedload relationship. This could be performed either through the deployment of a network of passive bedload sensors (e.g., Cook et al., 2018; Misset et al., 2021), or through repeated topographical surveys at high spatial and temporal resolutions (e.g., Antoniazza et al., 2019; Bakker et al., 2019; Dai et al., 2021; James et al., 2020).…”

Section: Discussionmentioning

confidence: 99%

Hydrological Drivers of Bedload Transport in an Alpine Watershed

Antoniazza

Nicollier

Boss

et al. 2022

Water Resources Research

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Understanding and predicting bedload transport is an important element of watershed management. Yet, predictions of bedload remain uncertain by up to several order(s) of magnitude. In this contribution, we use a 5‐year continuous time series of streamflow and bedload transport monitoring in a 13.4‐km2 snow‐dominated Alpine watershed in the Western Swiss Alps to investigate hydrological drivers of bedload transport. Following a calibration of the bedload sensors, and a quantification of the hydraulic forcing of streamflow upon bedload, a hydrological analysis is performed to identify daily flow hydrographs influenced by different hydrological drivers: rainfall, snowmelt, and combined rain and snowmelt events. We then quantify their respective contribution to bedload transport. Results emphasize the importance of combined rain and snowmelt events, for both annual bedload volumes (77% on average) and peaks in bedload transport rate. A non‐negligible, but smaller, amount of bedload transport may occur during late summer and autumn storms, once the snowmelt contribution and baseflow have significantly decreased (9% of the annual volume on average). Although rainfall‐driven changes in flow hydrographs are responsible for a large majority of the annual bedload volumes (86% on average), the identified melt‐only events also represent a substantial contribution (14% on average). The results of this study help to improve current predictions of bedload transport through a better understanding of the bedload magnitude‐frequency relationship under different hydrological conditions. We further discuss how bedload transport could evolve under a changing climate through its effects on Alpine watershed hydrology.

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“…This could be performed either through the deployment of a network of passive bedload sensors (e.g. Cook et al, 2018;Misset et al, 2021), or through repeated topographical surveys at high spatial and temporal resolutions (Anto-niazza et al, 2019;Dai et al, 2021;James et al, 2020).…”

Section: Hydraulic Forcing and Bedload Transportmentioning

confidence: 99%

Hydrological drivers of bedload transport in an Alpine watershed

Antoniazza¹,

Nicollier²,

Boss³

et al. 2021

Preprint

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Key-points• A streamflow time-serie is analyzed to quantify the contribution of rainfall, snow-melt, and their co-occurrence onto bedload transport.• The co-occurrence of rainfall in a watershed where the snow-melt signal is strong is the dominant driver of bedload transport (77%).• Rainfall occurring once the snow-melt signal is gentler also represents a substantial contribution to annual bedload (9%).

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Using Continuous Turbidity and Seismic Measurements to Unravel Sediment Provenance and Interaction Between Suspended and Bedload Transport in an Alpine Catchment

Cited by 10 publications

References 62 publications

Assessment of pebble virtual velocities by combining active RFID fixed stations with geophones

Assessment of pebble virtual velocities by combining active RFID fixed stations with geophones

Hydrological Drivers of Bedload Transport in an Alpine Watershed

Hydrological drivers of bedload transport in an Alpine watershed

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