Filters: Tags: Velocity (X)
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These data are depth-averaged velocities measured by an acoustic Doppler current profiler (ADCP), as well as continuous depth-averaged velocities from a stationary location measured with an acoustic Doppler velocity meter (ADVM). These data were collected from the July 12-14, 2022, survey of the Ashtabula River near Ashtabula, Ohio. The location of the ADCP data are from approximately 1,500 feet upstream from the Bridge Street bridge to 3,000 feet upstream from the Bridge Street bridge. The ADVM data are from approximately 41° 53' 46.4"N, 80° 47' 39.5"W. ADCP data were collected using an integrated global navigation satellite system (GNSS) smart antenna with submeter accuracy. The ADCP and GNSS antenna were mounted...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ADCP,
ADVM,
Ashtabula,
Bathymetry,
Ecology,
Acoustic Doppler current profiler (ADCP) data were collected along a prescribed navigated course throughout Calumet Harbor on October 5, 2015 to determine the spatial distribution of layer-averaged velocities. The data were layer-averaged in 2-foot increments of depth from the bed to the water surface, and temporally-averaged over a 30-second window to reduce noise. Data were processed using the Velocity Mapping Toolbox (Parsons and other, 2013). Any data assigned a value of "-9999" are invalid or missing and should not be used for analysis. Parsons, D. R., Jackson, P. R., Czuba, J. A., Engel, F. L., Rhoads, B. L., Oberg, K. A., Best, J. L., Mueller, D. S., Johnson, K. K. and Riley, J. D. (2013), Velocity Mapping...
Acoustic Doppler current profiler (ADCP) data were collected at multiple transects in the Calumet River mouth on May 12, 2016 to determine the spatial distribution of layer-averaged velocities. The data were layer-averaged in 2-foot increments of depth from the bed to the water surface. Data were processed using the Velocity Mapping Toolbox (Parsons and other, 2013). Any data assigned a value of "9999" are invalid or missing and should not be used for analysis. Parsons, D. R., Jackson, P. R., Czuba, J. A., Engel, F. L., Rhoads, B. L., Oberg, K. A., Best, J. L., Mueller, D. S., Johnson, K. K. and Riley, J. D. (2013), Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements....
Water velocities were measured in the Calumet Harbor for 5 dates in 2015 and 2016 using Teledyne Rio Grande 600 kHz acoustic Doppler current profilers (ADCP). The data were georeferenced with differential Dlobal Positioning System (GPS) receivers with submeter accuracy. These velocity data were collected in cooperation with the US Army Corps of Engineers, Chicago District. ADCP data were collected on the following dates and for the following purposes: May 12, 2015: Water velocities in the Calumet Harbor and Calumet River. Unsteady discharges in the Calumet River mouth. September 9, 2015: Water velocities in the Calumet Harbor and Calumet River mouth. October 5, 2015: Water velocities in the Calumet Harbor and Calumet...
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Calumet Harbor,
Calumet River,
Des Plaines River,
Illinois,
Lake Calumet,
These data were collected using a 600 kHz TRDI Rio Grande acoustic Doppler current profiler (ADCP) in mode 12 with 50 centimeter bins from a moving boat. The data were georeferenced with a Trimble Ag132 differential Global Positioning System (GPS) receiver with submeter accuracy. The data have been depth-averaged over the entire measured portion of the water column and temporally averaged over 5-second intervals to reduce noise. These data were collected during water-quality surveys of the right bank of the Chicago Sanitary and Ship Canal (CSSC) and include low-velocity regions of the canal such as barge slips in addition to the main channel. Data were processed using the Velocity Mapping Toolbox (Parsons and others,...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chicago Sanitary and Ship Canal,
Cook County,
DuPage County,
Illinois,
Velocity,
Acoustic Doppler current profiler (ADCP) data were collected at multiple transects spaced in a regular grid throughout Calumet Harbor on May 12, 2015 to determine the spatial distribution of layer-averaged velocities. The data were layer-averaged in 2-foot increments of depth from the bed to the water surface, and temporally-averaged over a 30-second window to reduce noise. Data were processed using the Velocity Mapping Toolbox (Parsons and other, 2013). Any data assigned a value of "-9999" are invalid or missing and should not be used for analysis. Parsons, D. R., Jackson, P. R., Czuba, J. A., Engel, F. L., Rhoads, B. L., Oberg, K. A., Best, J. L., Mueller, D. S., Johnson, K. K. and Riley, J. D. (2013), Velocity...
The dataset consists of a shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Windy Gap near Granby, CO, on July 27, 2021. The dataset contains approximately 1 km of river length. The surface velocity measurements were made by applying Large-Scale Particle Image Velocimetry (LSPIV) techniques, using overlapping videos collected by small Unmanned Aircraft Systems (sUAS). Total time to capture all videos was one hour and ten minutes, 11:05am to 12:15pm local time, and all frames (except frame 1, see Process Steps below) from all videos were used. Additional attributes, including divergence, curl, shear, and strain, were calculated from the surface velocity measurements and...
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri River between Kansas City and St. Louis, Missouri, May 19–26, 2021. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the...
These data were collected using a 1200 kHz TRDI Rio Grande acoustic Doppler current profiler (ADCP) in mode 12 with 25 centimeter bins from a moving boat. The data were georeferenced with a Hemisphere V102 differential Global Positioning System (GPS) receiver with submeter accuracy. The data were processed in the Velocity Mapping Toolbox (Parsons and others, 2013) to obtain a mean velocity field for each cross section from individual transects at each cross section. These data were collected in support of the US Army Corps of Engineers Great Lakes and Mississippi River Interbasin Study (GLMRIS), and were concurrent with a dye-tracing study. NOTE: Any data assigned a value of "-9999" are invalid or missing data and...
Types: Citation;
Tags: Brandon Road Lock and Dam,
Des Plaines River,
Illinois,
Velocity,
Will County
ADCP data were collected on July 31-August 1, 2013 in the Dresden Island Pool on the Des Plaines River using a Teledyne Rio Grande 1200 kHz Acoustic Doppler Current Profiler with integrated Trimble Ag162 GPS. On July 31-August 1, 2013 the Des Plaines River discharge also was approximately 2,000-3,000 cfs. ADCP data was collected in reciprocal pairs along cross-sections and along roughly streamwise oriented lines between cross-sections. The data are provided in: (1) a zipped folder containing classic ascii output files exported from WinRiverII software, and a README text file indicating which files are reciprocal pairs, and which files are streamwise oriented lines (2) a zipped folder containing KML files for each...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Des Plaines River,
Dresden Pool,
Illinois,
surface water (non-marine),
velocity
The U.S. Geological Survey (USGS) is actively investigating the use of innovative remote-sensing techniques to estimate surface velocity and discharge of rivers in ungaged basins and river reaches that lack the infrastructure to install conventional streamgaging equipment. By coupling discharge algorithms and sensors capable of measuring surface velocity, streamgage networks can be established in regions where data collection was previously impractical or impossible. One of the remote-sensing techniques uses a Doppler (velocity) radar (QCam) mounted and integrated on a small unmanned aircraft system (sUAS or drone). QCam measures the along-track surface velocity by spot dwelling in a river cross section at a vertical...
The Bathymetry surface was created by plotting depths of all data points collected relative to North American Vertical Datum of 1988 (NAVD 88), which was converted using the Vertical Datum Transformation tool created by the National Oceanic and Atmospheric Administration's (NOAA) National Geodetic Survey, Office of Coast Survey, and Center for Operation Oceanographic Products and Services. The elevation of the bathymetric raster surface was interpolated between these points in a GIS using a spline interpolator. A total of 432 points were used for interpolation. The points were used as the input to create a polygon feature class. The Spline tool was applied using the points and polygon to interpolate the bathymetric...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Acoustic Doppler Current Profiler,
Bathymetry,
Breach,
Fire Island National Seashore,
Long Island,
Velocity and water-quality surveys were completed along an approximately 71-mile reach of the Ohio River between Markland Locks and Dam (river mile 531.5) and McAlpine Locks and Dam (river mile 606.8) on October 27–November 4, 2016 (survey #1), and June 26–29, 2017 (survey #2). Water-quality data collected in this reach included surface measurements and vertical profiles of water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll, and phycocyanin. Streamflow and velocity data were collected simultaneous to the water-quality data at cross-sections and along longitudinal lines (corresponding to the water-quality surface measurements) and at selected stationary locations (corresponding...
Categories: Data;
Tags: Indiana,
Kentucky,
Louisville,
Markland Locks and Dam,
McAlpine Locks and Dam,
These data were collected using a 1200 kHz TRDI Rio Grande acoustic Doppler current profiler (ADCP) in mode 12 with 25 centimeter bins from a moving boat. The data were georeferenced with a Trimble AG132 differential Global Positioning System (GPS) receiver with submeter accuracy. The data have been depth-averaged over the entire measured portion of the water column, temporally averaged over 5-second intervals to reduce noise, and exported as a .csv file using the Velocity Mapping Toolbox (Parsons and others, 2013). These data were collected in support of the US Army Corps of Engineers Great Lakes and Mississippi River Interbasin Study (GLMRIS), and were concurrent with a dye-tracing study. NOTE: Any data assigned...
Types: Citation;
Tags: Brandon Road Lock and Dam,
Des Plaines River,
Illinois,
Velocity,
Will County
Velocity and water-quality surveys were completed along an approximately 71-mile reach of the Ohio River between Markland Locks and Dam (river mile 531.5) and McAlpine Locks and Dam (river mile 606.8) on October 27–November 4, 2016 (survey #1), and June 26–29, 2017 (survey #2). Water-quality data collected in this reach included surface measurements and vertical profiles of water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll, and phycocyanin. Streamflow and velocity data were collected simultaneous to the water-quality data at cross-sections and along longitudinal lines (corresponding to the water-quality surface measurements) and at selected stationary locations (corresponding...
Categories: Data;
Tags: Indiana,
Kentucky,
Louisville,
Markland Locks and Dam,
McAlpine Locks and Dam,
This dataset includes vertical velocity profiles and river discharge at the cross section of interest where velocity measurements were taken on the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska. Each profile contains measurements from at least six depths across the cross section in order to have a full two-dimensional cross-section velocity profile across the river. Each profile contains measurements at various depths at the y-axis, which is the vertical in the cross-sectional profile where the maximum velocity (umax) occurs.These measurements were taken using a Flowtracker2 instrument (SonTek, 2020) when wading was possible; if wading was not possible, measurements were...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Colorado,
North America,
United States,
depth,
The following spreadsheets contain discharge measurements that were used to develop rating curves for each stream gage. The numbers on each tab refer to the date the measurement was collected. Each spreadsheet contains distance, depth, and velocity measurements used to calculate discharge in centimeters and highlighted in yellow.
Note: this data release has been depecrated. Find the updated version here: https://doi.org/10.5066/P9ULGQ4W. These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri River between Kansas City and St. Louis, Missouri, May 19–26, 2021. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed...
Acoustic Doppler current profiler (ADCP) data were collected at multiple transects, and along a prescribed navigated path throughout Calumet Harbor on September 14, 2015 to determine the spatial distribution of layer-averaged velocities. Velocity data were processed using the Velocity Mapping Toolbox (Parsons and other, 2013). Any data assigned a value of "-9999" are invalid or missing and should not be used for analysis. Parsons, D. R., Jackson, P. R., Czuba, J. A., Engel, F. L., Rhoads, B. L., Oberg, K. A., Best, J. L., Mueller, D. S., Johnson, K. K. and Riley, J. D. (2013), Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements. Earth Surf. Process. Landforms,...
Water velocities were measured in the Chicago Sanitary and Ship Canal (CSSC) in 2010 and 2011 using Teledyne Rio Grande 600 kHz and 1200 kHz acoustic Doppler current profilers (ADCP). The data were georeferenced with differential GPS receivers with submeter accuracy. Data were processed using the Velocity Mapping Toolbox (Parsons et al., 2013). Any data assigned a value of "-9999" are bad or missing data and should not be used for analysis. Parsons, D. R., Jackson, P. R., Czuba, J. A., Engel, F. L., Rhoads, B. L., Oberg, K. A., Best, J. L., Mueller, D. S., Johnson, K. K. and Riley, J. D. (2013), Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements. Earth Surf....
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