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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...
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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...
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Water velocities were measured along planned survey lines, which were generally perpendicular to the shoreline and spaced 100 meters apart, over an approximately 2.3-mile section of nearshore Lake Erie on June 10-12, 2019 (survey 1), and August 19-21, 2019 (survey 2), using a 1200 kHz acoustic Doppler current profiler (ADCP). The data were geo-referenced with an integrated global navigation satellite system (GNSS) smart antenna with submeter accuracy. The ADCP and GNSS antenna were mounted on a marine survey vessel, and data were collected as the survey vessel traversed the lake along planned survey lines. There was a total of 43 survey lines which typically started about 50 meters offshore and ended 500 meters...
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This data release was produced by the U.S. Geological Survey (USGS) in cooperation with the Bureau of Reclamation to present the results of monitoring efforts on the Yellowstone River fish bypass channel according to the specifications of the Lower Yellowstone Adaptive Management and Monitoring Plan. The fish bypass channel was constructed to provide upstream migrating fish with a route around a diversion dam. The objective of this study is to monitor the physical and hydraulic characteristics of the bypass channel, including flow split, minimum depth for the deepest continuous 30 cross sectional feet, and mean channel velocity, which are summarized in the data files in this data release. Physical and hydraulic...
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Water velocities were measured in the Des Plaines River from approximately river mile 286 to river mile 284 on October 19–21, 2015 using Teledyne Rio Grande 1200 kHz acoustic Doppler current profilers (ADCP). The data were georeferenced with differential GPS receivers with submeter accuracy. These velocity 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. ADCP data were collected in the approach channel of the Brandon Road Lock and downstream in the main channel of the Des Plaines River to determine the spatial distribution of depth-averaged velocity in the river on October 19–21, 2015. The data...
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Acoustic Doppler current profiler (ADCP) data were collected at multiple transects, and along a prescribed navigated path throughout Calumet Harbor and within the Calumet River mouth on May 12, 2015 to determine the spatial distribution of layer-averaged velocities. Additionally, flow discharge was computed for several transects in the Calumet River mouth. 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...
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ADCP data were collected on May 22, 2015 immediately downstream of Starved Rock Lock and Dam near Utica, IL.The data were collected as reciprocal pairs of measurements at cross-sections, and as longitudinal lines roughly along the centerline of the channel. 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 (2) a zipped folder containing KML files for each transect.
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This data release provides an example data set to accompany the manuscript titled "A Robot Operating System (ROS) package for mapping flow fields in rivers via Particle Image Velocimetry (PIV)", submitted to the journal Software X. This ROS *.bag file contains remotely sensed data acquired during an Uncrewed Aircraft System (UAS) flight along a reach of the Sacramento River near Glenn, California, USA, on September 16, 2022. Cooperators on this project include the Intelligent Robotics Group from the National Aeronautics and Space Administration (NASA) Ames Research Center and the National Oceanographic and Atmospheric Administration (NOAA) Southwest Fisheries Science Center. The file bag6xs600.bag contains a single...
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This data release includes the data and code used for the paper titled "A framework to facilitate development and testing of image-based river velocimetry algorithms", published in the journal Earth Surface Processes and Landforms. Three *.csv files and five *.m files with MATLAB source code are included below. Each *.csv file contains output from a hydrodynamic model of a reach of the Sacramento River near Glenn, California, with a separate file for each of three different discharges (i.e., streamflow rates): 90, 191, and 255 cubic meters per second. The hydrodynamic model used for this purpose was the Nays2DH solver available within the International River Cooperative Interface (iRIC). Provided below is a link...
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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 and Mississippi Rivers on the periphery of Missouri, June 13–22, 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...
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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...
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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...
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These data are bathymetry (river bottom elevation) and depth-averaged velocities generated from the September 17–18, 2020, survey of the Kentucky Dam tailwater from just downstream from Kentucky Dam to approximately 1,500 feet upstream from the I-24 bridge (about 1 mile total length). Bathymetry and velocity data were collected using an acoustic Doppler current profiler (ADCP) with an integrated global navigation satellite system (GNSS) smart antenna with submeter accuracy. The ADCP and GNSS antenna were mounted on a marine survey vessel, and data were collected as the survey vessel traversed the tailwater along planned survey lines. There was typically one reciprocal pair (two passes) of data collected per line....
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Uncertainty of satellite discharge estimates is affected by choice of satellite sensor, hydraulic variable for observation, and discharge estimation algorithm, as well as the availability of ground-calibration data. Site selection is very important for reducing error and uncertainty in both conventional and satellite-based discharge measurements because geomorphic river characteristics have strong control over the relationships between discharge and depth, width, slope, and velocity. A ground-truth data set of 8,445 conventional hydraulic measurements, collected by acoustic Doppler current profilers (ADCP) at 503 stations in the United States was developed to examine correlation between river discharge and river...
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Data collected during the May 14th 2015 ADCP survey were processed using a Geographic Information System for interpolation and display. The shapefile available for download depicts ADCP data points collected on May 14, 2015. Parameters include depth, velocity, and discharge collected at 1 second intervals. Ebb data points were collected during outgoing tide.
The dataset consists of a shapefile of measurements of surface velocity magnitude and direction at the Colorado River at Salt Wash near Moab, UT, on June 10, 2020. The dataset contains approximately 1.4 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 less than one hour, 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 are included in the dataset.
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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 Crescent A100 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 four individual transects at each cross section. These data were collected by the U.S. Geological Survey (USGS) concurrently with environmental DNA (eDNA) sampling in this reach of the Chicago Sanitary and Ship Canal (CSSC) by the U.S. Fish and Wildlife Service (USFWS). NOTE: Any data...
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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...
Water velocities were measured in the Illinois and Des Plaines Rivers using a Teledyne Rio Grande 1200 kHz acoustic Doppler current profiler (ADCP). ADCP data were collected in reciprocal pairs along cross-sections and along approximately streamwise-oriented lines between cross sections at the following locations: (1) the confluence of the Fox River and the Illinois River near Ottawa, IL on November 4, 2015 (2) immediately downstream of Starved Rock Lock and Dam on the Illinois River near Utica, IL on May 22, 2015 (3) the Dresden Island Pool of the Des Plaines River on July 31 – August 1, 2013 (4) the Marseilles Pool of the Illinois River on May 14-15, 2013 and May 28, 2013 The WinRiverII ASCII output file and...
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Boat-mounted acoustic doppler current profilers (ADCPs) were used to collect velocity data on the Columbia River in a small area near Northport, WA. Velocity surveys were collected during two surveys at high-flow, high-stage conditions in May 2018. Bathymetric data were also collected during one of the surveys using a single-beam echo-sounder. The datasets here provide 1) raw ADCP and single-beam survey data, 2) processed summaries of the data, primarily in geospatial data formats, and 3) summary visualizations of transect-averaged velocity and depth characteristics of the surveyed reach.


map background search result map search result map Velocity Mapping with an acoustic Doppler current profiler (ADCP) in the Illinois River and Des Plaines River Survey of velocity at cross sections in the Chicago Sanitary and Ship Canal near Sag Junction, Chicago, IL (December 7, 2010) Velocity mapping downstream of Starved Rock Lock and Dam on the Illinois River near Utica, IL Acoustic Doppler current profiler velocity data collected in the approach channel of Brandon Road Lock and Dam in 2015 Spatial distribution of depth-averaged velocity measured in the Des Plaines River, Illinois (October 19, 2015) Spatial distribution of layer-averaged velocities and discharge measured in the Calumet Harbor and Calumet River mouth, Illinois (May 12, 2015) ADCP Shapefile - Ebb Velocity and Bathymetry Surveys of the Columbia River near Northport, Washington, May 2018 Velocity and water-quality surveys in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, October 27–November 4, 2016, and June 26–29, 2017 Velocity measurements collected at stationary locations (verticals) in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, October 27–November 4, 2016 (survey #1) Velocity measurements collected along cross-section lines (transects) in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, June 26–29, 2017 (survey #2) Water-quality measurements (near surface) collected along cross-section and longitudinal lines in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, October 27–November 4, 2016 (survey #1) Colorado River at Salt Wash near Moab, UT - 2020/06/10 Water Surface Velocity Map Using Particle Image Velocimetry Measurements of velocity and bathymetry in the tailwater of Kentucky Dam (Tennessee River) near Gilbertsville, Kentucky, September 17–18, 2020 Velocity mapping of longshore currents in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019 Selected Inputs of Siting Considerations for Satellite Observation of River Discharge Bathymetry and Velocity Data from Surveys at Highway Bridges crossing the Missouri and Mississippi Rivers on the Periphery of Missouri, June 13–22, 2022 Hydrodynamic model output and image simulation code for evaluating image-based river velocimetry from a case study on the Sacramento River near Glenn, California Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS) Physical and Hydraulic Monitoring on the Yellowstone River Fish Bypass Channel, Montana, May 2022 to August 2023 ADCP Shapefile - Ebb Velocity and Bathymetry Surveys of the Columbia River near Northport, Washington, May 2018 Hydrodynamic model output and image simulation code for evaluating image-based river velocimetry from a case study on the Sacramento River near Glenn, California Measurements of velocity and bathymetry in the tailwater of Kentucky Dam (Tennessee River) near Gilbertsville, Kentucky, September 17–18, 2020 Colorado River at Salt Wash near Moab, UT - 2020/06/10 Water Surface Velocity Map Using Particle Image Velocimetry Velocity mapping downstream of Starved Rock Lock and Dam on the Illinois River near Utica, IL Acoustic Doppler current profiler velocity data collected in the approach channel of Brandon Road Lock and Dam in 2015 Spatial distribution of depth-averaged velocity measured in the Des Plaines River, Illinois (October 19, 2015) Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS) Velocity mapping of longshore currents in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019 Spatial distribution of layer-averaged velocities and discharge measured in the Calumet Harbor and Calumet River mouth, Illinois (May 12, 2015) Physical and Hydraulic Monitoring on the Yellowstone River Fish Bypass Channel, Montana, May 2022 to August 2023 Velocity and water-quality surveys in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, October 27–November 4, 2016, and June 26–29, 2017 Velocity measurements collected at stationary locations (verticals) in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, October 27–November 4, 2016 (survey #1) Velocity measurements collected along cross-section lines (transects) in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, June 26–29, 2017 (survey #2) Water-quality measurements (near surface) collected along cross-section and longitudinal lines in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, October 27–November 4, 2016 (survey #1) Bathymetry and Velocity Data from Surveys at Highway Bridges crossing the Missouri and Mississippi Rivers on the Periphery of Missouri, June 13–22, 2022 Selected Inputs of Siting Considerations for Satellite Observation of River Discharge