Citation:
Citation_Information:
Originator: Andrew W. Stevens
Publication_Date: 20230808
Title:
Surface sediment grain size distributions derived from manual point counts of in situ seafloor images from the lower Columbia River, Washington and Oregon, 2021
Geospatial_Data_Presentation_Form: comma-delimited text
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/10.5066/P92U1KPY
Publication_Information:
Publication_Place:
Pacific Coastal and Marine Science Center, Santa Cruz, California
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P92U1KPY
Larger_Work_Citation:
Citation_Information:
Originator: Andrew W. Stevens
Originator: Gerald A. Hatcher
Originator: Peter Dal Ferro
Originator: Peter Dartnell
Originator: Jonathan A. Warrick
Originator: Nicholas Cohn
Originator: Hans R. Moritz
Publication_Date: 2023
Title:
Digital seafloor images, sediment grain size, bathymetry, and water velocity data from the lower Columbia River, Washington and Oregon, 2021
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P92U1KPY
Publication_Information:
Publication_Place: Pacific Coastal and Marine Science Center, Santa Cruz, CA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested Citation: Suggested Citation: Stevens, A.W., Hatcher, G.A., Dal Ferro, P., Warrick, J.A., Cohn, N., and Moritz, H.R., 2023, Digital seafloor images, sediment grain size, bathymetry, and water velocity data from the lower Columbia River, Washington and Oregon, 2021: U.S. Geological Survey data release,
https://doi.org/10.5066/P92U1KPY.
Online_Linkage: https://doi.org/10.5066/P92U1KPY
Description:
Abstract:
This dataset contains surface sediment grain size distributions derived from manual point counts of in situ seafloor images obtained with an underwater camera system in the lower Columbia River, Washington and Oregon, in 2021. The distributions derived from manual point counts were compared with results from an automated image processing technique to calibrate and validate the automated method used to quantify surface sediment grain size distributions in objective images. The surface sediment grain size distribution data derived from manual point counts are provided in comma-separated text format (point_count_distributions.csv) and should be compared with grain size distributions for the same set of images (dgs_calibration_validation.csv) derived from automated image processing that can be found in the "Surface sediment grain size distributions derived from automated image processing of in situ seafloor images from the lower Columbia River, Washington and Oregon, 2021" portion of the overall data release.
Purpose:
Growth of subaqueous sand dunes commonly causes shoaling in engineered river channels that necessitates costly dredging to maintain adequate depths for navigation. The factors that result in sand wave growth are theoretically understood from laboratory experiments, but the capacity to predict sand wave geometries in field settings is limited due to temporal and spatial variability in hydrodynamics and sediment grain size. Detailed measurements of sand wave geometries, hydrodynamics, and grain size are therefore needed to test and improve numerical models and inform efficient management strategies in navigation channels. This data release presents surface sediment grain size distributions, bathymetry and seafloor acoustic backscatter, and water velocity data acquired at four sites with subaqueous sand dunes in the lower Columbia River, Washington and Oregon, between June 4 and June 9, 2021. The four sites were located between 65 km and 127 km upstream from the ocean inlet along a gradient of relative tidal and fluvial influence. The survey was performed during peak annual river discharge when sediment transport processes were likely active. High resolution digital images were collected at each site with an underwater camera system that was repeatedly lowered to the seabed along a series of 1 km-long transects oriented along the main navigation channel and spaced about 60 m apart. The grain size distributions of the seabed images were estimated using an automated image processing technique and tested with observed grain size distributions derived from manual measurements on a subset of 16 images. Swath bathymetry and seafloor acoustic backscatter data were collected repeatedly at each site using a 234.5 kHz phase-differencing sidescan sonar to characterize sand wave geometry and bathymetric change resulting from sand wave migration. Current velocity data were collected from an underway survey vessel equipped with a downward looking 600 kHz ADCP along transects oriented both along- and across the main navigation channel. Combined, these data provide a comprehensive characterization of mobile subaqueous sand dunes that can be used to improve predictions of dune growth in complicated field settings and inform efficient sediment management practices in the lower Columbia River.
Supplemental_Information:
Additional information about the field activity or activities from which these data were derived is available online at:
https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-621-FA
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20210605
Ending_Date: 20210608
Currentness_Reference: ground condition at time data were collected
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -123.439024
East_Bounding_Coordinate: -122.764815
North_Bounding_Coordinate: 46.248515
South_Bounding_Coordinate: 45.713588
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:f479b5c2-d175-4d29-9847-f225b5033aa0
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: Data Categories for Marine Planning
Theme_Keyword: Substrate
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: ocean processes
Theme_Keyword: sediment transport
Theme_Keyword: grain-size analysis
Theme:
Theme_Keyword_Thesaurus: Marine Realms Information Bank (MRIB) keywords
Theme_Keyword: sediment
Theme_Keyword: Global Positioning System (GPS) observations
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Coastal and Marine Hazards and Resources Program
Theme_Keyword: CMHRP
Theme_Keyword: Pacific Coastal and Marine Science Center
Theme_Keyword: PCMSC
Place:
Place_Keyword_Thesaurus: Geographic Names Information System (GNIS)
Place_Keyword: Columbia River
Place_Keyword: State of Washington
Place_Keyword: State of Oregon
Access_Constraints: None
Use_Constraints:
USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey as the originator(s) of the dataset and in products derived from these data.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Contact_Person: PCMSC Science Data Coordinator
Contact_Address:
Address_Type: mailing and physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: dgs_point_count_quantile_comparison.png
Browse_Graphic_File_Description:
Comparisons and error metrics for quantiles describing cumulative grain size distributions (D16, D25, D50, D75, D84, D90) derived from manual point counts (measured) and automated image processing techniques (estimated) for calibration and validation image sets.
Browse_Graphic_File_Type: PNG
Native_Data_Set_Environment: MATLAB Version: 9.13.0.2080170 (R2022b) Update 1
Cross_Reference:
Citation_Information:
Originator: Jonathan A. Warrick
Originator: David M. Rubin
Originator: Peter Ruggiero
Originator: Jodi N. Harney
Originator: Amy E. Draut
Originator: Daniel Buscombe
Publication_Date: 2009
Title:
Cobble cam: grain-size measurements of sand to boulder from digital photographs and autocorrelation analyses
Other_Citation_Details:
Warrick, J.A., Rubin, D.M., Ruggiero, P., Harney, J.N., Draut, A.E., and Buscombe, D., 2009, Cobble cam: grain-size measurements of sand to boulder from digital photographs and autocorrelation analyses, Earth Surface Processes and Landforms, v. 34, pp. 1811-1821.
Online_Linkage: https://doi.org/10.1002/esp.1877