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Title Creator Institution Body Date Last Updated Resource Type Coverage Related Resources Contributors Keywords Rights management Data & Papers Related Wikis
Sorting in Flash Flood Bore Experiments Kealie Goodwin University of Texas at Austin

Laboratory experiments which use a series of truncated bores to understand the effects of steep water surface slope on gravel bed armor development. 

Thursday, November 6, 2014
Location: 

Geolocation is 30.267153, -97.74306079999997

Dates Collected: 
Thursday, November 6, 2014
Name: 
Kealie Goodwin
Institution: 
University of Texas at Austin
contributor_email: 
flash flood, gravel, bed sorting, armoring, kinetic sieving, selective transport CC-BY
SEN Community Experiment at Utrecht University Sediment Experimentalists Utrecht University

Community experiment at Utrecht University, two deltas, one on a mobile substrate. 

Thursday, November 6, 2014 dataset
Location: 

Geolocation is 52.0880383030119, 5.166864752736728

Dates Collected: 
Monday, November 3, 2014 to Thursday, November 6, 2014
Name: 
Sediment Experimentalist
contributor_email: 
delta, mobile substrate, Eurotank CC-BY
Bedload transport though vegetation Yager, Elowyn M., Schmeeckle, Mark Arizona State University

Experiments using simulated vegetation to understand how different vegetation densities (0-4% density by area) modify near-bed flow turbulence, flow structures and bedload transport.  Data include spatial variation in bedload fluxes around vegetation and total bedload fluxes measured using high-speed video for 12 runs.  Near-bed flow instantaneous velocities and velocity profiles (streamwise and vertical directions) were also measured in 3 streamwise transects using PIV. 

Thursday, November 6, 2014
Location: 

Geolocation is 33.4255104, -111.94000540000002

Dates Collected: 
Sunday, January 1, 2006 to Friday, June 1, 2007
Name: 
Elowyn Yager
Institution: 
University of Idaho
contributor_email: 
bedload, vegetation, turbulence, flow structures CC-BY
Bedrock erosion by granular flow in the Maytag flume Hsu, Leslie University of California, Berkeley
We conducted laboratory experiments to test the hypothesis that bedrock erosion is related to grain collisional stresses which scale with shear rate and particle size. We placed granular material in a 56-cm-diameter rotating drum to explore the relationship between erosion of a synthetic bedrock sample and variables such as grain size, shear rate, water content, and bed strength. Grain collisional stresses are estimated as the inertial stress using the product of the squares of particle size and vertical shear rate. Our uniform granular material consisted of 1-mm sand and quartzite river gravel with means of 4, 6, or 10 mm. In 67 experimental runs, the eroded depth of the bed sample varied with inertial stresses in the granular flow to a power less than 1.0 and inversely with the bed strength. The flows tended to slip on smooth boundaries, resulting in higher erosion rates than no-slip cases. We found that lateral wall resistance generated shear across the channel, producing two cells whose widths depended on wall roughness.
Tuesday, November 4, 2014 dataset
Location: 

Geolocation is 37.9153639, -122.33468490000001

Dates Collected: 
Wednesday, January 1, 2003 to Thursday, January 1, 2004
Name: 
Hsu, Leslie
Institution: 
Lamont-Doherty Earth Observatory, Columbia University
contributor_email: 
granular flow, gravel, bedrock, erosion CC-BY
Bed load transport in steep boulder bed channels Yager, Elowyn University of California, Berkeley

We designed a set of flume experiments with a simple, well-defined bed configuration to test our modified sediment transport equation. The experiments were conducted in a small (15 cm wide, 4.5 m long) flume set at a gradient of ten percent. This is the steepest gradient at which fluvial processes have been hypothesized to dominate over debris flow scour and deposition. At this gradient, the influence of the immobile grains on the flow and sediment transport will be relatively large. Thus our experiments should provide a test of sediment transport equations at the limit of their applicability. We maintained a constant slope in our experiments to enable comparisons between all experimental runs. The flume bed consisted of two layers of 30 mm immobile spheres: a closely packed bottom layer (λ/D of 1) and a top layer in which λ/D varied from 1 to 5 in the different runs. (Yager et al., 2007)

Monday, November 3, 2014 dataset
Dates Collected: 
Monday, November 3, 2014
Name: 
Sediment Experimentalist
contributor_email: 
bedload, boulders CC-BY
Rice Pile Experiments Martin, Raleigh L., Paola, Chris, Jerolmack, Douglas J. Saint Anthony Falls Laboratory, University of Minnesota

Experiments on stochastic avalanching of rice pile as analogue to sediment transport fluctuations.  The rice pile is formed in a narrow chamber (width ≈ 2 cm) separated by two flat glass walls (height, width ≈ 30 cm).  Rice grains are fed by a custom-built screw feeder controlled by Microsoft VBA script determining rate of rotation of screw feeder (which increases linearly with feed rate of grains).  Resulting flux of rice grains out of pile is determined by scale below outlet which records weight every one second.  Flux can be determined by differences in scale weight between time steps.  A vacuum set to blower mode periodically clears particles from the scale.

Two types of experiments were performed:

  1. Steady feed (constant rate of particle additions to rice pile).
  2. Unsteady feed (sinusoidal, sawtooth, or square wave feeding of particles to rice pile).  Different amplitudes and periods of fluctuations among experiments.

Excel spreadsheet (included as internet resource below) describes parameters for all experiments.  "Raw data" folder includes timeseries (recorded or interpolated to 1 Hz) of cumulative mass (in grams) of rice particles on weigh scale.  Data need to be "cleaned" to remove signal of periodic vacuum blower used to remove rice particles.

More information is available here: http://sedexp.net/experiment/one-dimensional-rice-pile-avalanche

Tuesday, September 16, 2014 dataset
Location: 

Geolocation is 44.9823139, -93.25469129999999

Dates Collected: 
Friday, April 13, 2007 to Thursday, July 12, 2007
Tuesday, December 4, 2007 to Wednesday, February 20, 2008
Monday, August 4, 2008 to Wednesday, November 26, 2008
Tuesday, June 16, 2009 to Monday, July 20, 2009
Friday, October 30, 2009 to Monday, November 30, 2009
Monday, July 11, 2011 to Monday, July 25, 2011
Name: 
Raleigh L. Martin
Institution: 
University of California, Los Angeles
contributor_email: 
CC-BY St. Anthony Falls Laboratory at The University of Minnesota
Laboratory abrasion mills to study river incision into bedrock Sklar, Leonard, S. University of California, Berkeley

Data from the manuscript Sklar and Dietrich, Sediment and rock strength controls on river incision into bedrock, Geology, v. 29, no. 12, p. 1087-1090.

Friday, September 5, 2014 dataset
Location: 

Geolocation is 42.4447319, -84.0649732

Dates Collected: 
Saturday, January 1, 2000 to Monday, January 1, 2001
Name: 
Sklar, Leonard, S.
Institution: 
San Francisco State University
contributor_email: 
rivers, sediment supply, grain size, erodibility, landscape evolution, erosion CC-BY
Fluvial bedrock incision by suspended and bedload sediment Scheingross, Joel S. California Institute of Technology Friday, August 15, 2014 dataset
Location: 

Geolocation is 34.1376576, -118.125269

Dates Collected: 
Friday, August 15, 2014
Name: 
Scheingross, Joel S.
Institution: 
California Institute of Technology
contributor_email: 
bedload, suspended load, sediment, fluvial, bedrock, flume CC-BY
Incipient sediment motion across the river to debris-flow transition Prancevic, Jeff P.

Laboratory experiments on initial sediment motion that cross the river to debris-flow sediment-transport transition. Results show that initial sediment motion by river processes requires heightened dimensionless bed shear stress (or critical Shields stress) with increasing channel-bed slope by as much as fivefold the conventional criterion established for lowland rivers.

Friday, August 15, 2014 dataset
Location: 

Geolocation is 34.1376576, -118.125269

Dates Collected: 
Friday, August 15, 2014
Name: 
Prancevic, Jeff P.
Institution: 
California Institute of Technology
contributor_email: 
CC-BY
2d bedload transport experiments with glass spheres Martin, Raleigh L. University of Pennsylvania
Experiments with marbles in Penn Sediment Dynamics flume.  Steady water and particle feed for each experiment, but variations in particle feed rate among experiments.
 
Channel width ~19 cm, particles only slightly smaller (D1 ~ 12 mm, D2 ~ 16 mm).  Thus, dynamics are quasi-2d.
 
Three types of image data captured:
1. High speed videos (with frame rates ranging from 240-1000 Hz) captured with Phantom High Speed camera.  These were intended to capture dynamics of particle collisions and damage propogation.
 
2. Time lapse photos (with frame rates ranging from 0.1-0.5 Hz) captured with Nikon D5000 (for experiments up to 26Jan2013) and Nikon D5200 (for subsequent experiments).  These were intended to explore evolution of the sedimentary bed and particle waiting times through time.
 
3. Webcam videos (with frame rate of 30 Hz) captured with Logitech webcam.  The webcam was set up at the end of the flume, and it is hoped that these videos can help to extract the particle flux.
 
Not all types of data were collected for all experiments.  The details of the individual experiments can be found in the "Notes" files with the associated dates of the experiments.
 
The "RawData" folders contain the original images from the various cameras (as well as the associated settings files for creating these images).  The "ProcessedData" folders contain processed images (cropped and rotated) for the relavant imaging area.  They also contain esimates of bed surface elevations and particle centroids determined by image analysis.
 
The experiments with TimeLapse have been renamed for publication, with the title including the feed rate for the experiments.  These are:
S12 -- 16Jul2013
S30 -- combined 2Nov2012 and 13Nov2012
S60 -- 26Jan2013
S90 -- 09Aug2013
S120 -- 31Jul2013
 
The "ProcessedData" folders also contain the scripts used for processing the data.  This has been done by a combination of Fiji (.ijm), Python (.py), and MATLAB (.m) scripts.  The '09Aug2013' folder contains the latest scripts for analysis of timelapse experiments.  The important ones are:
 
MODULE_images.py -- a module to be called by other Python scripts when processing the images
process_timelapse.py -- rotates and crops images, then spits them back out into "ProcessedImages" folder as .jpgs.  Note: need to look at some raw images to get parameters for processing.
extract_bedsurface.py -- reads in processed images and estimates bed surface elevation (in pixels), spits out text files into "BedSurface" with bed surface elevations. Note, need to look at some processed to get parameters for processing.
particles_FIJI.ijm -- reads in processed images and determines centroids (in pixels) of all particles.  Avoids particles on edges of image.  Spits out .csv files with these coordinates into "Particles" folder.  Note, need to look at some raw images to get parameters for processing.
BedSurfaceMATLABimport.m -- reads in .txt bed surface pixel elevations and converts to bed surface elevations in mm in a single .mat file which can be used for subsequent analysis
ParticlesMATLABimport.m -- reads in .csv particle files and links together into particle trajectories, saving as a single .mat file with all positions trajectories in mm.
 
The two "useful" processed data files are "[DATE]_BedSurface.mat" (with bed surface elevations) and "[DATE]_Particles.mat" with particle trajectories.
 
See the '26Jan2013' processed data folder for most up-to-date scripts for processing high-speed videos.  Probably, it would be better to use some of the scripts described above for these data, but I just haven't had the chance to revisit the high-speed videos in a while.  The functions of the scripts are pretty self-explanatory from the titles.  The data contained in the folder are:
 
'V[].mat' contains particle trajectory information.  Similar to the "[DATE]_Particles.mat" file described above for time-lapse.  'V[].xls' contains the particle centroids determined by Fiji image analysis.  'V[]_bedsurface.mat' contains bed surface elevations, similar to file described above for time-lapse.  'V[]_movie.mat' and '....tif' contain movies of particle motions as cartoons with hollow spheres and particle identifiers instead of the raw images.  Useful for locating particle indices when looking at the trajectory files for analysis.
 
Friday, January 10, 2014 dataset
Location: 

Geolocation is 39.9507247, -75.191285

Dates Collected: 
Friday, November 2, 2012 to Wednesday, July 31, 2013
Name: 
Martin, Raleigh L.
Institution: 
University of Pennsylvania; University of California Los Angeles
contributor_email: 
sediment transport, bed load, bed evolution CC-BY
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