Li H. Erikson
Curt D. Storlazzi
Brian D. Collins
Anita C. Engelstad
20221217
Grain-size distribution from foreshore and beach samples collected in 2009 in the vicinity of Wainwright, Alaska
comma-delimited text
data release
DOI: 10.5066/P94V9W0S
Pacific Coastal and Marine Science Center, Santa Cruz, California
U.S. Geological Survey
https://doi.org/10.5066/P94V9W0S
Li H. Erikson
Curt D. Storlazzi
Brian D. Collins
Gerry A. Hatcher
Thomas E. Reiss
Anita C. Engelstad
2022
Hydrographic and sediment field data collected in the vicinity of Wainwright, Alaska, in 2009
data release
DOI: 10.5066/P94V9W0S
Pacific Coastal and Marine Science Center, Santa Cruz, CA
U.S. Geological Survey
https://doi.org/10.5066/P94V9W0S
Sediment grab samples were collected at 158 locations on the foreshore and beach in the vicinity of Wainwright, Alaska, in October of 2009. Two of the grab samples were sieved and analyzed for grain size distributions. The grain-size distribution of the remaining samples was determined from referenced photographs of collected samples taken in the lab following the method of Barnard and others (2007) using two-dimensional spectral decomposition of sediment images (Buscombe and others, 2010). Results of sieved samples were used to verify mean grain size values obtained with the image processing algorithm. Data are available in a single csv file.
Data were obtained to provide baseline information and to support the development of numerical models for assessing past and future coastal hazards. These data are intended for policy makers, resource managers, science researchers, students, and the general public. These data are not intended to be used for navigation.
Additional information about the field activities from which these data were derived is available online at:
https://cmgds.marine.usgs.gov/fan_info.php?fan=TM109AR
https://cmgds.marine.usgs.gov/fan_info.php?fan=TM209AR
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
20091004
20091004
ground condition at time data were collected
None planned
-160.04930
-160.02061
70.64676
70.63350
USGS Metadata Identifier
USGS:58e8b7b8-bf51-4315-9db3-86646c92bc8c
ISO 19115 Topic Category
geoscientificInformation
Marine Realms Information Bank (MRIB) keywords
beach
shore
sediment
field observation
Data Categories for Marine Planning
Substrate
Distributions
USGS Thesaurus
grain-size analysis
grab sampling
geospatial datasets
None
U.S. Geological Survey
USGS
Coastal and Marine Hazards and Resources Program
CMHRP
Pacific Coastal and Marine Science Center
PCMSC
Geographic Names Information System (GNIS)
State of Alaska
Chukchi Sea
Wainwright
None
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
U.S. Geological Survey, Pacific Coastal and Marine Science Center
PCMSC Science Data Coordinator
mailing and physical
2885 Mission Street
Santa Cruz
CA
95060
831-427-4747
pcmsc_data@usgs.gov
GrainSize_Measurement_Loc_ForeshoreBeach.png
Satellite image showing the areas where grain size data were collected
JPEG
Data were post-processed using Ashtec, Trimble, Humminbird 898C, MATLAB and the MATLAB based Digital Grain Size (DGS) toolbox on a PC equipped with a Windows 7 operating system.
Daniel Buscombe
David M. Rubin
Jonathan A. Warrick
2010
A universal approximation of grain size from images of noncohesive sediment
Buscombe, D., Rubin, D.M., and Warrick, J.A., 2010, A universal approximation of grain size from images of noncohesive sediment: Journal of Geophysical Research, v. 115, no. 02, 17 p., https://doi.org/10.1029/2009JF001477
https://doi.org/10.1029/2009JF001477
Patrick L. Barnard
David M. Rubin
Jodi Harney
Neomi Mustain
2007
Field test comparison of an autocorrelation technique for determining grain size using a digital beachball camera versus traditional methods
Barnard, P.L., Rubin, D.M., Harney, J., and Mustain, N., 2007, Field test comparison of an autocorrelation technique for determining grain size using a digital beachball camera versus traditional methods: Sedimentary Geology, v. 201, p. 180-195.
https://doi.org/10.1016/j.sedgeo.2007.05.016
No formal accuracy assessment was performed on the sieved sediment samples. Beach (foreshore) sediment grain sizes derived from referenced photographs are estimated to be accurate within 23 percent of the reported values, based on comparisons between sieved and image-processed samples.
All data fall within expected ranges. Where values could not be computed due to a lack of convergence in the image processing algorithm, fields have been filled with -9999 values.
Dataset is considered complete for the information presented, as described in the abstract.
A formal accuracy assessment of the horizontal positional information in the dataset has not been conducted. Sediment sample locations were obtained with hand-held GPS units and are estimated to be accurate to within 4 meters.
Sediment grab samples were collected at 158 locations in the foreshore and on the beach at depths between 0.5-1 cm.
20091004
Sediment grab samples were sieved and analyzed for grain size distributions)using 6 sieves with screen sizes (in units of phi): -1,0,1,2,3,4. Mean grain sizes of remaining samples were computed using the MATLAB-based DGS toolbox from referenced photographs of collected samples taken in the lab following the methods of Barnard and others (2007) and using two-dimensional spectral decomposition of sediment images as described in Buscombe and others (2010). Results of sieved samples were used for verification of mean grain size values obtained with the image processing algorithm.
20091209
Point
Point
157
0.00001
0.00001
Decimal degrees
WGS 1984
WGS_1984
6378137.0
298.257223563
2009GrainSize_Distributions_ForeShoreBeach.csv
The file contains sediment grain size distributions for foreshore and beach locations
Producer defined
Latitude_WGS84
Latitude coordinate
Producer defined
70.63350
70.64676
Decimal degrees
0.00001
Longitude_WGS84
Longitude coordinate
Producer defined
-160.0493
-159.02061
Decimal degrees
0.00001
Median_mm
Median grain size
Producer defined
0.19
1.31
mm
0.01
Std_mm
Standard deviation of grain size distribution. -9999 values indicate values that were not computed.
Producer defined
0.02
0.49
mm
0.01
d05_mm
5th percentile of grain size. -9999 values indicate values that were not computed.
Producer defined
0.17
0.40
mm
0.01
d16_mm
16th percentile of grain size. -9999 values indicate values that were not computed.
Producer defined
0.17
0.46
mm
0.01
d25_mm
25th percentile of grain size. -9999 values indicate values that were not computed.
Producer defined
0.17
0.47
mm
0.01
d50_mm
50th percentile of grain size
Producer defined
0.19
1.31
mm
0.01
d75_mm
75th percentile of grain size
Producer defined
0.26
1.43
mm
0.01
d84_mm
84th percentile of grain size
Producer defined
0.27
1.47
mm
0.01
d95_mm
95th percentile of grain size
Producer defined
0.27
1.52
mm
0.01
The first line of the csv file is a header line.
U.S. Geological Survey
U.S. Geological Survey - CMGDS
mailing and physical
2885 Mission Street
Santa Cruz
CA
95060
831-427-4747
pcmsc_data@usgs.gov
These data are available in csv format
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
comma-delimited text
The file contains grain size distributions
No compression applied.
0.01
https://doi.org/10.5066/P94V9W0S
Data can be downloaded using the Network_Resource_Name link then scrolling down to the Environmental Data section.
None.
The csv data can be viewed with any text reading software.
20221217
U.S. Geological Survey, Pacific Coastal and Marine Science Center
PCMSC Science Data Coordinator
mailing and physical
2885 Mission Street
Santa Cruz
CA
95060
831-427-4747
pcmsc_data@usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998