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Filters: Tags: River discharge (X) > Types: OGC WMS Service (X)

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Regional regression equations were calculated in Puerto Rico with generalized least squares techniques to estimate flood frequency statistics at ungaged locations using drainage area as the only explanatory variable. The island was divided into 2 regions to minimize residuals. The region division that resulted in lower and more balanced residuals runs primarily north-south near the center of the island, mostly along an 8-digit hydrologic unit code (HUC8) boundary. The division line runs through a HUC8 polygon on the southern end of the island, but care was taken to include entire watersheds and consideration was given where hydrologic and physiographic properties differed. This data release includes geographic information...
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This dataset contains data collected during science flights using the drone-based QCam, which is a Doppler (velocity) radar designed to measure surface velocity and compute river discharge when channel bathymetry is known. Five science flights were conducted on four rivers including the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska. Data are presented in a comma separated values (CSV) file.
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Field measurements of flow depth and velocity and river discharge were collected from two cross-sections on the Blue River in Colorado using an acoustic Doppler current profiler (ADCP). These data were used to assess the accuracy of surface flow velocities inferred from thermal image time series, acquired from an unmanned aircraft system (UAS), via particle image velocimetry (PIV). These data sets were collected to support research focused on developing innovative methods for non-contact measurement of river discharge based on various forms of remotely sensed data. The ADCP data were collected with a SonTek RiverSurveyor S5 mounted on a hydroboard towed behind an inflatable kayak. Four passes were made across...
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The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Blue River and Colorado River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River and 2 river transects (cross-stream) on the Colorado River. This data release includes data delivered...
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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...
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Field-based real-time kinematic (RTK) GNSS surveys of water surface elevation and channel bed topography were collected along the Blue River, focusing on two cross-sections from which remotely sensed data were obtained. These data were used to assess the accuracy of river bed elevations inferred from the ASTRALiTe bathymetric lidar, acquired from an unmanned aircraft system (UAS). These data sets were collected to support research focused on developing innovative methods for non-contact measurement of river discharge based on various forms of remotely sensed data. The RTK GNSS surveys were performed using a local base station and Trimble R8 and R10 receivers while wading the channel at each cross-section. Additional...
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The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Blue River just upstream of its confluence with the Colorado River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Blue River. This data release includes data delivered to the USGS by...
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To suport an investigation of the feasibility of measuring river discharge using remotely sensed data acquired from an unmanned aircraft system (UAS), several types of remotely sensed data and field measurements were collected from two cross-sections on the Blue River in Colorado, just upstream of its confluence with the upper Colorado River, on October 18, 2018. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel instrument that was developed by ASTRALiTe to distinguish between returns from the water surface and riverbed based on the polarization of laser pulses. 2) Thermal image time series used to...
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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...
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The magnitude and frequency of floods at 91 rural, unregulated streamgages in Puerto Rico were updated using annual peak-flows through 2017. The USGS program PeakFQ version 7.3 (U.S. Geological Survey, 2019) was used to estimate the parameters of the Log-Pearson Type III distribution using updated methods outlined in Bulletin 17C (England and others, 2018) and regional skew of 0.28 and a mean-squared error of 0.20. This data release includes (1) a spreadsheet file showing streamgage information, perception thresholds, and intervals used in PeakFQ; (2) raw input files (.txt) and spec file (.psf) loaded into PeakFQ; and (3) output files (.PRT) from PeakFQ showing the magnitude and frequency peak-flow estimates, as...
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Estimates of the magnitude of peak-flows were updated for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent chance exceedance levels for 91 rural, unregulated streamgaging stations on the main island of Puerto Rico. These stations required 10 or more years of annual peak-flow record, using data to 2017, for inclusion in the study. The magnitude and frequency of floods at selected streamgages in Puerto Rico were estimated using the U.S. Geological Survey PeakFQ program and updated methods outlined in Bulletin 17C (England and others, 2018). Regional regression equations were calculated to estimate flood frequency statistics at ungaged locations using selected basin characteristics as explanatory variables. These...
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To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from a small unmanned aircraft system (sUAS), optical and sediment measurements were collected from the Blue River and Colorado River near Kremmling, CO on October 17-18, 2018. Optical measurements were collected with a WET Labs ECO which measures the turbidity and concentration of colored dissolved organic matter (CDOM) and chlorophyll. Absorption and attenuation coefficients were collected with a WET Labs ac-s instrument. The concentration and mean size of suspended sediment were collected with a LIST 100X sensor.
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To support an investigation of the feasibility of measuring river bathymetry using remotely sensed data acquired from an unmanned aircraft system (UAS), several types of remotely sensed data and field measurements were collected from two cross-sections on the Blue River and two cross-sections on the Colorado River near Kremmling, Colorado, on October 17-18, 2018. This parent data release includes links to child pages for the following data sets: 1) Lidar data used for mapping channel bathymetry (depth), acquired with a novel instrument that was developed by ASTRALiTe to distinguish between returns from the water surface and riverbed based on the polarization of laser pulses. 2) Field-based wading surveys of bed...
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The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the Infrared Cameras Inc. (ICI) Mirage camera on the Blue River just upstream of its confluence with the Colorado River near Kremmling, Colorado, on October 18, 2018. The objective of this project was to assess the potential to infer surface flow velocities in rivers by applying a particle image velocimetry (PIV) algorithm to aerial thermal infrared image time series collected from an unmanned aircraft system (UAS). The ICI Mirage (3-5 µm thermal IR) and a Sony DSC QX-30 (natural color) cameras were mounted on a Gremsy H7 gimbal, integrated with the ICI sensor control module (SCM), and mounted to a DJI Matrice 600 Pro UAS owned...
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This dataset contains survey data including wading and real-time kinematic (RTK) Global Positioning System (GPS) of water surface elevation and channel bed topography at cross section 5 (xs5) on March 20, 2018, which is adjacent to the U.S. Geological Survey (USGS) streamgage at Arkansas River at Parkdale, Colorado (USGS 07094500). The RTK Global Navigation Satellite System (GNSS) surveys were performed using a local base station associated with the streamgage and Trimble R8 and R10 receivers while wading the channel at cross section 5. The survey data were postprocessed by performing the National Oceanic and Atmospheric Administration Online Positioning User Service (OPUS) correction of the static observations...
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Generalized least squares (GLS) techniques were used with at-site statistics, from PeakFQ, and drainage area for streamgages in Puerto Rico to calculate regional regression equations for ungaged locations. The GLS approach assigns weights based on uncertainty of the observations (ie. record length and variance) and accounts for correlated streamflows and time-sampling errors (Farmer and others, 2019). Two separate regions were defined for the use of these equations to minimize residuals, and performance metrics from WREG were analyzed to determine drainage area as the only explanatory variable provided the best results. Values for the correlation smoothing function in region 1 were alpha equal to 0.006 and theta...


    map background search result map search result map UAS-based remotely sensed data and field measurements from the Blue River and Colorado River, near Kremmling, Colorado, October 17-18, 2018 UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Bathymetric lidar data from the Blue River, Colorado, October 18, 2018 Thermal image time series from the Blue River, Colorado, October 18, 2018 Wading surveys of bed topography and water depth from the Blue River, Colorado, October 18, 2018 Acoustic Doppler current profiler (ADCP) measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Bathymetric lidar data from the Blue River and Colorado River, near Kremmling, Colorado, October 18, 2018 Drone- and ground-based measurements of velocity, depth, and discharge collected during 2017-18 at the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska, USA Wading survey of bed topography, gage height, and cross-sectional area for the Arkansas River near Parkdale, Colorado Surface velocity data acquired from QCam (drone-based Doppler velocity radar) for the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Optical and sediment measurements collected from the Blue River and Colorado River, near Kremmling, Colorado, October 17, 2018 Velocity profiles and river discharge for cross sections on the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Data Files for the Development of Regression Equations for the Estimation of the Magnitude and Frequency of Floods at Rural, Unregulated Gaged and Ungaged Streams in Puerto Rico through Water Year 2017 (ver. 1.1, September 2021) At-site Flood Frequency PeakFQ Estimates in Puerto Rico Through Water Year 2017 Puerto Rico Generalized Least Squares WREG Regression Files Regions for regional regression equations Bathymetric lidar data from the Blue River and Colorado River, near Kremmling, Colorado, October 18, 2018 UAS-based remotely sensed data and field measurements from the Blue River and Colorado River, near Kremmling, Colorado, October 17-18, 2018 Optical and sediment measurements collected from the Blue River and Colorado River, near Kremmling, Colorado, October 17, 2018 UAS-based remotely sensed data and field measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Wading survey of bed topography, gage height, and cross-sectional area for the Arkansas River near Parkdale, Colorado Thermal image time series from the Blue River, Colorado, October 18, 2018 Bathymetric lidar data from the Blue River, Colorado, October 18, 2018 Acoustic Doppler current profiler (ADCP) measurements of flow depth and velocity from the Blue River, Colorado, October 18, 2018 Wading surveys of bed topography and water depth from the Blue River, Colorado, October 18, 2018 Regions for regional regression equations Data Files for the Development of Regression Equations for the Estimation of the Magnitude and Frequency of Floods at Rural, Unregulated Gaged and Ungaged Streams in Puerto Rico through Water Year 2017 (ver. 1.1, September 2021) At-site Flood Frequency PeakFQ Estimates in Puerto Rico Through Water Year 2017 Puerto Rico Generalized Least Squares WREG Regression Files Surface velocity data acquired from QCam (drone-based Doppler velocity radar) for the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Velocity profiles and river discharge for cross sections on the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska Drone- and ground-based measurements of velocity, depth, and discharge collected during 2017-18 at the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska, USA