Skip to main content
Advanced Search

Filters: Tags: Acoustic Doppler Current Profiler (X)

44 results (86ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Discharge measurements made at U.S. Geological Survey Chicago Sanitary and Ship Canal near Lemont, Illinois, streamgage (05536890) between 2005 and 2013 were reviewed and manually processed using QRev v3.12. Discharge was measured using Acoustic Doppler Current Profilers (ADCPs) deployed from a moving boat according to the procedures described in Mueller and others (2013). QRev generates an extensible markup language file (XML) that provides information on measurement characteristics (Mueller, 2016a,b). Data from these XML files were exported into a comma-separated values (CSV) table to create a summary of measurement information. This CSV table also indicates which measurements were used in the development of index-velocity...
thumbnail
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...
thumbnail
This child item dataset contains a shapefile of locations of inflow to the Old Erie Canal. This data release contains spatial datasets of bathymetry, water velocity, water quality, and infrastructure of a 30.8 mile reach of the Old Erie Canal between the Town of DeWitt and its junction with the current Erie Canal of the New York State Canal System in Verona, near Rome, New York during 2018 and 2019.
thumbnail
Geo-referenced two dimensional velocity profiles collected at discrete cross-sections over an approximately 2km stretch of the Sacramento River. These data were collected over a range of river conditions (stage and discharge) on eight separate dates in February and March of 2016 and May of 2017. Data are available as .csv files contained in the attached .zip file.
thumbnail
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...
thumbnail
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...
Acoustic Doppler current profiler (ADCP) discharge measurement data were collected and analyzed for use in developing an operational uncertainty analysis tool known as QUant (Moore and others, 2016). These ADCP measurements were originally collected in the United States, Canada, and New Zealand as a part of research conducted to validate ADCP discharge measurements made with Teledyne RD Instruments RiverRay and SonTek M9 ADCPs (Boldt and Oberg, 2015). The data were chosen in order to represent a variety of geographic and streamflow conditions, such as mean depth and mean velocity. Due to current limitations in the QUant software, only measurements collected using Teledyne RD Instruments Rio Grande and StreamPro...
thumbnail
Three streamflow measurements are used to demonstrate the use of equations developed in Mueller (in review). All three measurements are from various locations on the Mississippi River. These data were not collected for the purpose of this paper but provide practical examples of the effect of heading errors. The use of data from the Mississippi River allows the collection of 500 or more ensembles in each transect which reduce the overall effect of random errors that could complicate the identification of effects due to heading errors. In addition, by using wide cross sections, the effect of GPS errors due to vegetation near the boundaries of the river are minimized. All measurements were collected with WinRiver II...
thumbnail
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...
thumbnail
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...
thumbnail
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....
thumbnail
Water depth and depth-averaged velocity in the lower San Joaquin River, California. These data were collected using a RD Instruments Acoustic Doppler Current Profiler (ADCP) April 2013.
thumbnail
The mission of the U.S. Geological Survey (USGS) involves providing reliable, impartial, and timely information that is needed to understand the Nation’s water resource. New techniques that aid in achieving this mission are important, especially those that allow USGS to do so more accurately or cost-effectively. To this end, a new method for selecting the optimum exposure time for velocity and discharge measurements has been explored. These data were assembled to assist in the development and evaluation of this new method. Four kinds of time-series data are available and used for this purpose. They are: (1) model-derived synthetic velocities, (2) point-velocity measurements in laboratory flumes, (3) point-velocity...
The estimation of mass concentration of suspended solids is one of the properties needed to understand the characteristics of sediment transport in bays and estuaries. However, useful measurements or estimates of this property are often problematic when employing the usual methods of determination from collected water samples or optical sensors. Analysis of water samples tends to undersample the highly variable character of suspended solids, and optical sensors often become useless from biological fouling in highly productive regions. Acoustic sensors, such as acoustic Doppler current profilers that are now routinely used to measure water velocity, have been shown to hold promise as a means of quantitatively estimating...
The estimation of mass concentration of suspended solids is one of the properties needed to understand the characteristics of sediment transport in bays and estuaries. However, useful measurements or estimates of this property are often problematic when employing the usual methods of determination from collected water samples or optical sensors. Analysis of water samples tends to undersample the highly variable character of suspended solids, and optical sensors often become useless from biological fouling in highly productive regions. Acoustic sensors, such as acoustic Doppler current profilers that are now routinely used to measure water velocity, have been shown to hold promise as a means of quantitatively estimating...
thumbnail
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.
thumbnail
This child item dataset contains a turbidity raster interpolated from water quality observation points collected during the 2018 survey of the Old Erie Canal. This data release contains spatial datasets of bathymetry, water velocity, water quality, and infrastructure of a 30.8 mile reach of the Old Erie Canal between the Town of DeWitt and its junction with the current Erie Canal of the New York State Canal System in Verona, near Rome, New York during 2018 and 2019.
thumbnail
This child item dataset contains a shapefile of water velocity observations made by an Acoustic Doppler Current Profiler (ADCP) during the 2018 survey, and includes measurements of water speed and direction along perpendicular transects of the Old Erie Canal.​ This data release contains spatial datasets of bathymetry, water velocity, water quality, and infrastructure of a 30.8 mile reach of the Old Erie Canal between the Town of DeWitt and its junction with the current Erie Canal of the New York State Canal System in Verona, near Rome, New York during 2018 and 2019.
thumbnail
This data release contains spatial datasets of bathymetry, water velocity, water quality, and infrastructure of a 30.8 mile reach of the Old Erie Canal between the Town of DeWitt and its junction with the current Erie Canal of the New York State Canal System in Verona, near Rome, New York during 2018 and 2019, and is released in support of Open-File Report 2021-1125; Wernly, J.F., 2022, Characterization of the bathymetry, hydrodynamics, water quality, infrastructure, and channel condition of the Old Erie Canal from DeWitt to its junction with the current Erie Canal in Verona, near Rome, New York, 2018–19: U.S. Geological Survey Open-File Report 2021–1125, 75 p., https://doi.org/10.3133/ofr20211125


map background search result map search result map 2011 ADCP depth and velocity data 2013 ADCP depth and velocity data Discharge measurements at U.S. Geological Survey streamgage 05536890 Chicago Sanitary and Ship Canal near Lemont, Illinois, 2005-2013 Velocity mapping using moving boat acoustic Doppler current profiler on the Sacramento River near the western end of the Fremont Weir in February and March 2016, and May 2017 ADCP Shapefile - Ebb Three Streamflow Measurements from the Mississippi River near Clinton, IA, Hickman, KY, and Vicksburg, MS made with an ADCP Geospatial dataset of the bathymetry, hydrodynamics, water quality, infrastructure, and channel condition of the Old Erie Canal from DeWitt to its junction with the current Erie Canal in Verona, near Rome, New York, 2018-19 Inflow locations along Old Erie Canal Turbidity raster of Old Erie Canal Perpendicular water velocity observation points collected using ADCP during Old Erie Canal survey 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, 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) Data for the development of a new method for dynamically estimating exposure time for turbulent flow measurements Measurements of velocity and bathymetry in the tailwater of Kentucky Dam (Tennessee River) near Gilbertsville, Kentucky, September 17–18, 2020 Discharge measurements at U.S. Geological Survey streamgage 05536890 Chicago Sanitary and Ship Canal near Lemont, Illinois, 2005-2013 ADCP Shapefile - Ebb Measurements of velocity and bathymetry in the tailwater of Kentucky Dam (Tennessee River) near Gilbertsville, Kentucky, September 17–18, 2020 Velocity mapping using moving boat acoustic Doppler current profiler on the Sacramento River near the western end of the Fremont Weir in February and March 2016, and May 2017 2013 ADCP depth and velocity data Geospatial dataset of the bathymetry, hydrodynamics, water quality, infrastructure, and channel condition of the Old Erie Canal from DeWitt to its junction with the current Erie Canal in Verona, near Rome, New York, 2018-19 Turbidity raster of Old Erie Canal 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, 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) Three Streamflow Measurements from the Mississippi River near Clinton, IA, Hickman, KY, and Vicksburg, MS made with an ADCP Data for the development of a new method for dynamically estimating exposure time for turbulent flow measurements