Work Description

Date: July 29th, 2024

Dataset Title: Investigating Entrance Hydrodynamics of Sea Lamprey Traps

Dataset Contact: [email protected]

Dataset Creators:

Name: Kaylin Jones
Email: [email protected]
Institution: University of Michigan Department of Civil and Environmental Engineering
ORCID: https://orcid.org/0000-0002-8930-5454

Name: Mariana I. Fernández Correa
Email: [email protected]
Institution: University of Michigan Department of Civil and Environmental Engineering
ORCID: https://orcid.org/0009-0002-0212-144X

Name: Julien Malherbe
Email: [email protected]
Institution: University of Michigan Department of Civil and Environmental Engineering
ORCID: https://orcid.org/0009-0006-6254-9981

Name: Aline J Cotel
Email: [email protected]
Institution: University of Michigan Department of Civil and Environmental Engineering
ORCID: https://orcid.org/0000-0002-8895-2107

Funding: This research was supported by the Great Lakes Fisheries Commission (grant # 2022_COT_541005)

Key Points:
-We quantify the hydrodynamics of sea lamprey trap entrances using a Particle Image Velocimetry (PIV) system
- The two traps we used are a slot and a mesh trap, respectively, named after the first face of the chamber.

Research Overview:
Sea lampreys (Petromyzon marinus) are an invasive species of concern in the Laurentian Great Lakes. Their predation on native species has degraded the ecological and economic health of the region. They are thus targeted for removal through various means, including trapping. Currently, sea lamprey traps are somewhat inefficient, believed to be partially due to their “entrance flows”, or the flow patterns induced by these traps that are felt by approaching sea lampreys. This study experimentally quantifies these flows. Models of two common sea lamprey trap designs were built and installed in a water tunnel in the University of Michigan Hydraulics Lab, and attraction flows were measured using Particle Image Velocimetry (PIV) with minimal background turbulence. Velocity, velocity gradient, and vorticity distributions in the flow are evaluated from the PIV data. These same models were installed in larger-scale raceways at USGS’ Hammond Bay Biological Station, and attraction flows were again measured using PIV to explore how these patterns change in a more turbulent environment that better mimics natural conditions.

Methodology:
We took three positions upstream of the trap, at the entrance of the trap, and 35cm away from the trap. All measurements are taken at the elevation of the trap's centerline. In addition, Downstream of the trap center, right and left measurements were taken downstream of the trap center to provide a wider field of view. We analyzed 120 frames for each area (2 seconds of data at 60 frames per second). We then analyzed this data using MATLAB PIVLab to create the Text files in this dataset.

Instrument and/or Software specifications:
- Analysis done in: MATLAB PIVLab
- Camera: Nikon D5200 DSLR

Overview
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This folder contains all data collected from Hammond Bay Biological Station (HBBS) and the University of Michigan Hydraulics Lab (UMHL).

Folder Structure
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Each folder contains text files that store experimental data in a consistent format. At the end of most folder chains, there are typically four subfolders that contain the data for that nested folder:

1. U vel folders:
- Contents: 120 text files (except the "20 second analysis to validate High Flow Solid Face Trap" which contains 1200 files).
- Format: Each file has 4 columns and 501 rows. Column headers are: Distance on line, x coordinates (m), y coordinates (m), and u component velocity (m/s). Each row of data represents one point in the field of view (FOV) of the video. One text file is generated for each video frame, and 120 frames represent two seconds of video at 60 frames per second.

2. V vel folders:
- Contents: 120 text files (except the "20 second analysis to validate High Flow Solid Face Trap" which contains 1200 files).
- Format: Each file has 4 columns and 501 rows. Column headers are: Distance on line, x coordinates (m), y coordinates (m), and v velocity component (m/s). Each row of data represents one point in the FOV of the video. One text file is generated for each video frame, and 120 frames represent two seconds of video at 60 frames per second.

3. Vel mag folders:
- Contents: 120 text files (except the "20 second analysis to validate High Flow Solid Face Trap" which contains 1200 files).
- Format: Each file has 4 columns and 501 rows. Column headers are: Distance on line, x coordinates (m), y coordinates (m), and velocity magnitude (m/s). Each row of data represents one point in the FOV of the video. One text file is generated for each video frame, and 120 frames represent two seconds of video at 60 frames per second.

4. Vorticity folders:
- Contents: 120 text files (except the "20 second analysis to validate High Flow Solid Face Trap" which contains 1200 files).
- Format: Each file has 4 columns and 501 rows. Column headers are: Distance on line, x coordinates (m), y coordinates (m), and vorticity component (1/s). Each row of data represents one point in the FOV of the video. One text file is generated for each video frame, and 120 frames represent two seconds of video at 60 frames per second.

Data from HBBS Experiments
--------------------------
1. 20 Second Analysis to Validate High Flow Solid Face Trap
- This folder contains data from the 20-second analysis.
- Subfolders: Center, Right, and Left (pertaining to data taken looking up to the trap).
- Each subfolder contains U vel, V vel, vel mag, and vort (vorticity) data.

2. High Flow
- Contains all data from the high velocity set-up.
- Control: No trap data folder.
- Left & Right Control: Data from the left and right of the raceway.
- Each folder contains U vel, V vel, vel mag, and vort (vorticity) data.
- Mesh:
- 35 cm downstream: Downstream data of center, left, and right FOVs.
- At funnel: At funnel data of center, left, and right FOVs.
- Solid:
- 35 cm downstream: Downstream data of center, left, and right FOVs.
- At funnel: At funnel data of center, left, and right FOVs.

3. Low Flow
- Contains all data from the low velocity set-up.
- Control: No trap data folder.
- Left & Right Control: Data from the left and right of the raceway.
- Each folder contains U vel, V vel, vel mag, and vort (vorticity) data.
- Mesh:
- 35 cm downstream: Downstream data of center, left, and right FOVs.
- At funnel: At funnel data of center, left, and right FOVs.
- Solid:
- 35 cm downstream: Downstream data of center, left, and right FOVs.
- At funnel: At funnel data of center, left, and right FOVs.

Data from UMHL Experiments
--------------------------
1. Mesh
- Contains Mesh trap data.
- Upstream Trap: Data from upstream of the first face of a lamprey trap, including all flow velocities of the water tunnel.
- Downstream of Trap: 35 cm downstream data of the center of the water tunnel, including all flow velocities.
- At Funnel: FOV data from center, left, and right at the funnel, including all flow velocities of the water tunnel.

2. Solid
- Contains Solid trap data.
- Upstream Trap: Data from upstream of the first face of a lamprey trap, including all flow velocities of the water tunnel.
- Downstream of Trap: 35 cm downstream data of the center of the water tunnel, including all flow velocities.
- At Funnel: FOV data from center, left, and right at the funnel, including all flow velocities.

Use and Access:
This data set is made available under a Creative Commons Attribution Non-Commercial license (CC BY-NC 4.0).

To cite data: Jones, K., Fernández Correa, M. I., Malherbe, J., Cotel, A. J. Investigating entrance hydrodynamics of sea lamprey traps [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/py8y-0r40