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Bathymetric survey of the Green River near Jensen, Utah, March 26-29, 2018

Dates

Publication Date
Start Date
2018-03-26
End Date
2018-03-29

Citation

Kinzel, P.J., Kohn, M.S., McDonald, R.R, Fulton, J.F., Angeroth, C.E., and Stephens, C., 2019, Bathymetric survey of the Green River near Jensen, Utah, March 26-29, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9GN325T.

Summary

A topographic and bathymetric survey was collected along a reach of the Green River downstream of Dinosaur National Monument. The surveyed reach extends approximately 16 kilometers upstream and 6 kilometers downstream of the U.S. Route 40 bridge near Jensen, Utah. The topographic and bathymetric data include survey point data for 382 cross sections over 22 kilometers and are provided as a text file of easting, northing and elevation, in meters. The cross-section location data were collected using real-time kinematic Global Navigation Satellite Systems (GNSS) by USGS personnel from March 26, 2018, through March 29, 2018 using a combination of Sound Navigation and Ranging (SONAR) and wading techniques.

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Attached Files

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Base_Station_BM2_C.JPG
“GNSS base station, Credit: Michael Kohn”
thumbnail 3.76 MB
GR_SONAR_ROVER_GPS_DATA_XYZ.txt
“Green River survey, XYZ format”
2.65 MB

Material Request Instructions

For any questions regarding these data, please contact:

Paul Kinzel - pjkinzel@usgs.gov, 303-278-7941
United States Geological Survey
Geomorphology and Sediment Transport Laboratory
4620 Technology Drive, Suite 400
Golden, CO 80403

Purpose

The data will be used to develop a hydraulic model for of the Green River near Jensen, Utah. The hydraulic model will be used to simulate the drift of razorback sucker larvae and inform sampling strategies for an actual larval release. Simulations of the larval drift will be compared to data collected from the field. The goal of this project is to validate a lagrangian particle-tracking methodology for predicting the dispersal pathways of larval fish in rivers.
GNSS base station, Credit: Michael Kohn
GNSS base station, Credit: Michael Kohn

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9GN325T

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