Smart pebbles go hiking

in-situ measurements of grain scale dynamics using inertial sensors in mountain streams

Research output: Contribution to conferenceAbstractResearchpeer-review

Abstract

Single coarse grain scale measurements relate directly to the study of sediment transport in mountainous streams, primarily because these streams are characterised by a mixed and variable riverbed bed topography (ranging from "bare bedrock" to "fully alluvial"). Quantifying the force regime that controls the transport of a single pebble in situ has been proven historically difficult. Most of the measurement techniques are measuring indirect cross-averaged or point (non-inertial to the grain) transport metrics and using those to describe or predict grain motion (proba- bilistically or deterministically). The introduction of inertial Micro Mechanical and Electrical Sensors (MEMS) sensors (sensor-assemblies that comprise of micro-accelerometers, gyroscopes and compasses) to this problem, triggered the idea of a "smart-pebble": a mobile stone-like assembly that can measure directly the forces (and consequently metrics such as grain velocities, positions, kinetic energies etc.) of sediment transport exactly as ex- perienced by single grains (from their inertial frame). Today, almost ten years after this idea was introduced in the literature, we know that there are accuracy limitations on the use of the MEMS suitable for monitoring fluvial transport (mainly relevant to unrestricted calculations of grain position, tracking) but we also know that there is a potential to calculate directly single pebble dynamics for short time scales and after consistent calibration and analysis. In this presentation, in-situ measurements from two purpose specific smart pebbles will be presented, deployed in three different mountain river stretches. The first dataset (river Calder, Scotland) is the collection of pre-entrainment pebble vibrations (20-minute periods), in low flow conditions. The second dataset is the measure- ment of seven complete single pebble transport events (entrainment- translation-deposition), derived from an alpine river (Erlenbach, Austria) during the snowmelt season (April 2018). Finally, the third dataset relates single pebble transport events with coherent ADCP measurements, both collected in the upstream region of river Dee (Scotland) during moderate/high flooding conditions. The three datasets are connected using an "exceedance over threshold" analysis, which is formalised after the re-working of an, experimentally tested, fundamental Newton-Euler model.
Original languageEnglish
Publication statusPublished - Apr 2019
EventEuropean Geophysical Union General Assembly - Vienna, Austria
Duration: 7 Apr 201912 Apr 2019
https://www.egu.eu

Conference

ConferenceEuropean Geophysical Union General Assembly
Abbreviated titleEGU
CountryAustria
CityVienna
Period7/04/1912/04/19
Internet address

Fingerprint

mountain stream
pebble
in situ measurement
sensor
river
entrainment
sediment transport
Proba
accelerometer
Acoustic Doppler Current Profiler
snowmelt
low flow
kinetic energy
vibration
bedrock
flooding
topography
calibration
timescale
mountain

Keywords

  • smart pebbles
  • Sediment hydraulics
  • sediment transport

Cite this

Maniatis, G. (2019). Smart pebbles go hiking: in-situ measurements of grain scale dynamics using inertial sensors in mountain streams. Abstract from European Geophysical Union General Assembly , Vienna, Austria.
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keywords = "smart pebbles, Sediment hydraulics, sediment transport",
author = "Georgios Maniatis",
year = "2019",
month = "4",
language = "English",
note = "European Geophysical Union General Assembly , EGU ; Conference date: 07-04-2019 Through 12-04-2019",
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Maniatis, G 2019, 'Smart pebbles go hiking: in-situ measurements of grain scale dynamics using inertial sensors in mountain streams' European Geophysical Union General Assembly , Vienna, Austria, 7/04/19 - 12/04/19, .

Smart pebbles go hiking : in-situ measurements of grain scale dynamics using inertial sensors in mountain streams. / Maniatis, Georgios.

2019. Abstract from European Geophysical Union General Assembly , Vienna, Austria.

Research output: Contribution to conferenceAbstractResearchpeer-review

TY - CONF

T1 - Smart pebbles go hiking

T2 - in-situ measurements of grain scale dynamics using inertial sensors in mountain streams

AU - Maniatis, Georgios

PY - 2019/4

Y1 - 2019/4

N2 - Single coarse grain scale measurements relate directly to the study of sediment transport in mountainous streams, primarily because these streams are characterised by a mixed and variable riverbed bed topography (ranging from "bare bedrock" to "fully alluvial"). Quantifying the force regime that controls the transport of a single pebble in situ has been proven historically difficult. Most of the measurement techniques are measuring indirect cross-averaged or point (non-inertial to the grain) transport metrics and using those to describe or predict grain motion (proba- bilistically or deterministically). The introduction of inertial Micro Mechanical and Electrical Sensors (MEMS) sensors (sensor-assemblies that comprise of micro-accelerometers, gyroscopes and compasses) to this problem, triggered the idea of a "smart-pebble": a mobile stone-like assembly that can measure directly the forces (and consequently metrics such as grain velocities, positions, kinetic energies etc.) of sediment transport exactly as ex- perienced by single grains (from their inertial frame). Today, almost ten years after this idea was introduced in the literature, we know that there are accuracy limitations on the use of the MEMS suitable for monitoring fluvial transport (mainly relevant to unrestricted calculations of grain position, tracking) but we also know that there is a potential to calculate directly single pebble dynamics for short time scales and after consistent calibration and analysis. In this presentation, in-situ measurements from two purpose specific smart pebbles will be presented, deployed in three different mountain river stretches. The first dataset (river Calder, Scotland) is the collection of pre-entrainment pebble vibrations (20-minute periods), in low flow conditions. The second dataset is the measure- ment of seven complete single pebble transport events (entrainment- translation-deposition), derived from an alpine river (Erlenbach, Austria) during the snowmelt season (April 2018). Finally, the third dataset relates single pebble transport events with coherent ADCP measurements, both collected in the upstream region of river Dee (Scotland) during moderate/high flooding conditions. The three datasets are connected using an "exceedance over threshold" analysis, which is formalised after the re-working of an, experimentally tested, fundamental Newton-Euler model.

AB - Single coarse grain scale measurements relate directly to the study of sediment transport in mountainous streams, primarily because these streams are characterised by a mixed and variable riverbed bed topography (ranging from "bare bedrock" to "fully alluvial"). Quantifying the force regime that controls the transport of a single pebble in situ has been proven historically difficult. Most of the measurement techniques are measuring indirect cross-averaged or point (non-inertial to the grain) transport metrics and using those to describe or predict grain motion (proba- bilistically or deterministically). The introduction of inertial Micro Mechanical and Electrical Sensors (MEMS) sensors (sensor-assemblies that comprise of micro-accelerometers, gyroscopes and compasses) to this problem, triggered the idea of a "smart-pebble": a mobile stone-like assembly that can measure directly the forces (and consequently metrics such as grain velocities, positions, kinetic energies etc.) of sediment transport exactly as ex- perienced by single grains (from their inertial frame). Today, almost ten years after this idea was introduced in the literature, we know that there are accuracy limitations on the use of the MEMS suitable for monitoring fluvial transport (mainly relevant to unrestricted calculations of grain position, tracking) but we also know that there is a potential to calculate directly single pebble dynamics for short time scales and after consistent calibration and analysis. In this presentation, in-situ measurements from two purpose specific smart pebbles will be presented, deployed in three different mountain river stretches. The first dataset (river Calder, Scotland) is the collection of pre-entrainment pebble vibrations (20-minute periods), in low flow conditions. The second dataset is the measure- ment of seven complete single pebble transport events (entrainment- translation-deposition), derived from an alpine river (Erlenbach, Austria) during the snowmelt season (April 2018). Finally, the third dataset relates single pebble transport events with coherent ADCP measurements, both collected in the upstream region of river Dee (Scotland) during moderate/high flooding conditions. The three datasets are connected using an "exceedance over threshold" analysis, which is formalised after the re-working of an, experimentally tested, fundamental Newton-Euler model.

KW - smart pebbles

KW - Sediment hydraulics

KW - sediment transport

M3 - Abstract

ER -

Maniatis G. Smart pebbles go hiking: in-situ measurements of grain scale dynamics using inertial sensors in mountain streams. 2019. Abstract from European Geophysical Union General Assembly , Vienna, Austria.