Velocity maps from "Hydraulic and Substrate Maps of Reaches Used by Sturgeon (Genus Scaphirhynchus) in the Lower Missouri River, 2005-07"

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Title:
Velocity maps from "Hydraulic and Substrate Maps of Reaches Used by Sturgeon (Genus Scaphirhynchus) in the Lower Missouri River, 2005-07"
Publication_Date: 2008
Geospatial_Data_Presentation_Form: raster digital data
Originator: Joanna M. Reuter
Originator: Robert B. Jacobson
Originator: Caroline M. Elliott
Originator: Harold E. Johnson, III
Originator: Aaron J. DeLonay
Series_Information:
Series_Name: U.S. Geological Survey Data Series
Issue_Identification: Data Series 386
Publication_Information:
Publication_Place: Reston, Virginia
Publisher: U.S. Geological Survey
Native_Data_Set_Environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.2.5.1450
Description:
Abstract:
A collection of reach-scale maps of hydraulic and substrate characteristics were generated for the habitat-use portion of an interdisciplinary sturgeon research project on the Lower Missouri River (from Gavins Point Dam to the junction with the Mississippi River). The maps were derived from hydroacoustic data sets that were collected for the purpose of assessing physical aquatic habitat in the vicinity of locations of adult shovelnose sturgeon (Scaphirhynchus platorynchus) and pallid sturgeon (S. albus). Hydroacoustic data sets were collected at the reach scale (mean reach length, 2.4 kilometers) in order to include the immediate vicinity of a targeted sturgeon location as well as the full range of habitat available at the bend and crossover scale. Reaches typically were surveyed on the day following the relocation of a telemetered sturgeon and at a discharge within 10 percent of the discharge on the sturgeon relocation date in order to characterize as closely as possible the channel morphology and flow-field conditions at the time that the sturgeon was present. One hundred fifty-three reaches were mapped during April-September in the years 2005 through 2007, with the majority of data collection occurring in the months of May and June (coinciding with the period of sturgeon migration and spawning in the Lower Missouri River). Interpolated maps (grid cell size, 5 meters) depict depth, generalized substrate, and depth-averaged velocity. Side-scan sonar imagery is also available for a subset of reaches.
Purpose:
The maps were derived from hydroacoustic data sets that were collected for the purpose of assessing physical aquatic habitat in the vicinity of locations of adult shovelnose sturgeon (Scaphirhynchus platorynchus) and pallid sturgeon (S. albus).
Time_Period_of_Content:
Currentness_Reference: ground condition
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20050405
Ending_Date: 20070717
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -97.442
East_Bounding_Coordinate: -90.295
North_Bounding_Coordinate: 49.955
South_Bounding_Coordinate: 38.485
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Categories
Theme_Keyword: inlandWaters
Place:
Place_Keyword: Missouri
Place_Keyword: Kansas
Place_Keyword: Iowa
Place_Keyword: Nebraska
Place_Keyword: South Dakota
Place_Keyword: USA
Place_Keyword_Thesaurus: None
Access_Constraints: none
Use_Constraints: none
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey, Columbia Environmental Research Center
Contact_Address:
Address_Type: mailing and physical address
Address: 4200 New Haven Road
City: Columbia
State_or_Province: MO
Postal_Code: 65201
Country: USA
Contact_Voice_Telephone: 573-875-5399
Data_Set_Credit:
Funding for this project was provided by the U.S. Army Corps of Engineers (USACE), Missouri River Recovery–Integrated Science Program and the U.S. Geological Survey (USGS). This work was part of the Comprehensive Sturgeon Research Project, a large, interdisciplinary, multiyear research project to which numerous individuals contributed. The following individuals, in particular, deserve mention: Matt Smith, Chad Vishy, Mark Laustrup, David Gaeuman, Kim Chojnacki, Emily Tracy-Smith, and Sandy Clark-Kolaks. Sturgeon tracking crews, under the supervision of Aaron DeLonay, were also essential to this work.
Data_Quality_Information:
Lineage:
Process_Step:
Process_Description:
Hydroacoustic instrumentation included single-beam echo sounders, RoxAnn instruments (Marine Microsystems and Sonavision, Ltd., Aberdeen, United Kingdom), and acoustic Doppler current profilers (ADCP; Teledyne RD Instruments, Poway, California). Computers logged hydroacoustic data while the boat was driven along the planned transects from bank to bank or as depth allowed; transects ended where the water was too shallow for the boat to navigate (at depths less than approximately 0.6 meter). Boat speeds typically averaged around 2 meters per second for a survey, generally with lower speeds in shallow or slow water. In general, data collection followed standard procedures for hydroacoustic data as described in Elliott and others (2004).Two boats were used for the collection of depth, substrate, and velocity data: the R/V (research vessel) Lucien M. Brush and the R/V Slim Funk (fig. 4). Both boats had mounts that suspended the echo sounder and ADCP transducers in the water on the starboard side of the boat near the bow. The GPS antenna was mounted above the transducers. The R/V Funk worked primarily in the upstream segments of the river (Gavins Point, Ponca, Big Sioux, and Platte). The R/V Brush worked in the downstream segments (Kansas, Grand, and Osage). The instrument configuration varied slightly between the boats and from year to year (table 1 in Reuter and others, 2008).Velocity data sets were collected with 1,200 kHz Workhorse Rio Grande acoustic Doppler current profiler (ADCP) units. ADCP data were logged simultaneously with GPS data on a second laptop computer running WinRiver (version 10.06, Teledyne RD Instruments, Poway, California). Magnetic variation was set for each reach mapped by using either GeoMagix software (Interpex, Ltd., Golden, Colorado) or data from the National Geophysical Data Center of the National Oceanic and Atmospheric Administration (National Geophysical Data Center, 2008). Mapping crews performed the “Method 3” compass calibration procedure at each site by rotating the boat in a tight circle (RD Instruments, 2003). This procedure corrects for one-cycle errors. The procedure was repeated until the total error reading was less than 1 degree. Configuration settings for ADCP data collection included a bin (vertical cell) size of 25 centimeters and a blanking distance of 50 centimeters below the transducer. ADCP data were collected using water mode 1 with 6 water pings and bottom mode 5 with 1 bottom ping.Acoustic Doppler current profiler (ADCP) data sets contain velocity values in ensembles (vertical sets of bins through the water column). Depth-averaged values of velocity for each ensemble, as computed from the bin values, were used for the purpose of generating the two-dimensional velocity grids contained in this report. The raw velocity data sets contain additional information that may be used for future analyses.ADCP data processing consisted of several steps. The first step was to export the data from WinRiver, using the GPS-based frame of reference. The WinRiver export files were then parsed by a Python script that also calculated depth-averaged velocity values for each vertical data ensemble, converted the data into a shapefile format, projected the shapefile to UTM Zone 15 North, and performed some basic filtering to flag spurious data points. The depth-averaged velocities were computed by averaging the easting and northing components for each bin, then calculating the magnitude and direction of the depth-averaged velocity from the component vectors. We examined the shapefiles manually to identify and flag other spurious data points. For example, spurious velocity magnitudes tend to be associated with poor GPS values, often as a result of bridge interference with GPS signals. The point shapefiles, with good values selected, were used to guide digitization of blanking polygons that define the extent of the area for which values can be reasonably interpolated to a 5-meter grid. For each data set, the point velocity values were interpolated to a grid with a Python script that executes kriging in ArcGIS and clips the grid to the extent of the blanking polygon. In addition to the velocity grid, the procedure computed a variance of prediction grid that estimates the uncertainty of the kriged values. Directional bias of recorded velocities is common in association with the standard method of driving the boat in alternating directions across the river (left bank to right bank for one transect, then right bank to left bank for the next). This bias can appear as slight striping in velocity grids. The magnitude of error associated with striping is small (less than 0.05 meter per second) and the effect is primarily visual. This error apparently relates to slight spatial variations in magnetic field that are not compensated by the daily compass calibration (Gaeuman and Jacobson, 2005). In postprocessing, we adjusted magnetic variation as needed to minimize the directional bias.
Process_Date: 2005-2007
Logical_Consistency_Report:
Each individual reach map depicts physical conditions dependent on the discharge and channel morphology at the time of mapping; both of these factors are dynamic on the Lower Missouri River. For more information, see associated report: Reuter and others, 2008, USGS Data Series Report 386.
Completeness_Report:
Maps represent conditions in parts of the reach deep enough for the boat to navigate. In some cases, patches of data are missing due to poor quality GPS data or equipment malfunction. Some reaches are shorter than their planned length due to onset of inclement weather. For more information, see associated report: Reuter and others, 2008, USGS Data Series Report 386.
Metadata_Reference_Information:
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Metadata_Contact:
Contact_Information:
Contact_Address:
Address_Type: mailing and physical address
City: Columbia
State_or_Province: MO
Postal_Code: 65201
Address: 4200 New Haven Road
Country: USA
Contact_Voice_Telephone: 573-875-5399
Contact_Person_Primary:
Contact_Person: Joanna M. Reuter
Contact_Organization: U.S. Geological Survey
Metadata_Date: 20081104
Metadata_Extensions:
Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
Profile_Name: ESRI Metadata Profile
Distribution_Information:
Distribution_Liability:
Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the accuracy 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. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that these data are directly acquired from a U.S. Geological Survey server, and not indirectly through other sources which may have changed the data in some way. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein.
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey, Columbia Environmental Research Center
Contact_Address:
Address_Type: mailing and physical address
Address: 4200 New Haven Rd
City: Columbia
State_or_Province: MO
Postal_Code: 65201
Country: USA
Contact_Voice_Telephone: 573-875-5399
Contact_Facsimile_Telephone: 573-876-1896
Custom_Order_Process: Please contact distributor.
Resource_Description: U.S. Geological Survey Data Series 386
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Planar_Distance_Units: meters
Coordinate_Representation:
Abscissa_Resolution: 5.000000
Ordinate_Resolution: 5.000000
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 15
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.999600
Longitude_of_Central_Meridian: -93.000000
Latitude_of_Projection_Origin: 0.000000
False_Easting: 500000.000000
False_Northing: 0.000000
Geodetic_Model:
Horizontal_Datum_Name: D_WGS_1984
Ellipsoid_Name: WGS_1984
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257224
Generated by mp version 2.9.8 on Fri Feb 20 15:17:25 2009