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The basis for these features is U.S. Geological Survey Scientific Investigations Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS hydraulic model is a 12.9-mile reach of Johnson Creek from just upstream of SE 174th Avenue in Portland, Oregon, to its confluence with the Willamette River. Some of the hydraulics used in the model were taken from Federal Emergency Management Agency, 2010, Flood Insurance Study, City of Portland, Oregon, Multnomah, Clackamas, and Washington Counties, Volume 1 of 3, November 26, 2010. The Digital Elevation Model (DEM) utilized for the project was developed from lidar data flown in 2015 and provided by the Oregon Department...
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​The basis for these features is U.S. Geological Survey Scientific Investigations Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS hydraulic model is a 12.9-mile reach of Johnson Creek from just upstream of SE 174th Avenue in Portland, Oregon, to its confluence with the Willamette River. Some of the hydraulics used in the model were taken from Federal Emergency Management Agency, 2010, Flood Insurance Study, City of Portland, Oregon, Multnomah, Clackamas, and Washington Counties, Volume 1 of 3, November 26, 2010. The Digital Elevation Model (DEM) utilized for the project was developed from lidar data flown in 2015 and provided by the Oregon Department...
Although surface water and groundwater are increasingly referred to as one resource, there remain environmental and ecosystem needs to study the 10 m to 1 km reach scale as one hydrologic system. Streams gain and lose water over a range of spatial and temporal scales. Large spatial scales (kilometers) have traditionally been recognized and studied as river-aquifer connections. Over the last 25 years hyporheic exchange flows (1–10 m) have been studied extensively. Often a transient storage model has been used to quantify the physical solute transport setting in which biogeochemical processes occur. At the longer 10 m to 1 km scale of stream reaches it is now clear that streams which gain water overall can coincidentally...
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The Apalachicola-Chattahoochee-Flint River Basin (ACFB) was modeled to produce fourteen simulations of streamflow for demonstration of enhancements to the Precipitation Runoff Modeling System (PRMS); seven simulations without water use effects and seven simulations with water use effects. The seven simulations without water use were for 1) the whole ACFB basin (1982-2012), 2) the Chestatee River sub-basin (1982-2012), 3) the Chipola River sub-basin (1982-2012), 4) the Ichawaynochaway Creek sub-basin (1982-2012), 5) the Potato Creek sub-basin (1942-2012), 6) the Spring Creek sub-basin (1952-2012), and 7) the upper Chattahoochee River sub-basin (1982-2012). The seven simulations with water use effects were for the...
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A series of 11 digital flood-inundation maps were developed for a 5.5 mile reach of the lower Pawcatuck River in Westerly, Rhode Island and Stonington and North Stonington, Connecticut by the U.S. Geological Survey in cooperation with the Town of Westerly, Rhode Island and the Rhode Island Office of Housing and Community Development. The coverage of the maps extends from downstream from the Ashaway River inflow at the Westerly, Rhode Island and North Stonington, Connecticut State border to about 500 feet (ft) downstream of the U.S. Route 1/Broad Street bridge on the state border between Westerly, Rhode Island and Stonington, Connecticut. A hydraulic model was used to compute water-surface profiles for 11 flood stages...
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In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring has been conducted on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS also has collected long-term water-quality data to support additional assessments of changing water-quality conditions. These data have been combined to provide insight into how natural features and human activities have contributed...
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Synopsis: This study analyzed the effects of vegetation change on hydrological fluctuations in the Columbia River basin over the last century using two land cover scenarios. The first scenario was a reconstruction of historical land cover vegetation, c. 1900. The second scenario was more recent land cover as estimated from remote sensing data for 1990. The results show that, hydrologically, the most important vegetation-related change has been a general tendency towards decreased vegetation maturity in the forested areas of the basin. This general trend represents a balance between the effects of logging and fire suppression. In those areas where forest maturity has been reduced as a result of logging, wintertime...
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This metadata record describes monthly input and output data covering the period 1900-2015 for a water-balance model described in McCabe and Wolock (2011). The input datasets are precipitation (PPT) and air temperature (TAV) from the PRISM group at Oregon State University. The model outputs include estimated potential evapotranspiration (PET), actual evapotranspiration (AET), runoff (RUN) (streamflow per unit area), soil moisture storage (STO), and snowfall (SNO). The datasets are arranged in tables of monthly total or average values measured in millimeters or degrees C and then multiplied by 100. The data are indexed by the identifier PRISMID, which refers to an ASCII raster of cells in an associated file named...
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This data release contains inputs for and outputs from hydrologic simulations of the Apalachicola-Chattahoochee-Flint River Basin (ACFB) in the southeastern U.S. using the Precipitation Runoff Modeling System (PRMS). Seven hydrologic models, one coarse-resolution model for the entire ACFB and six fine-resolution models of tributary sub-basins. These simulations were developed to provide estimates of water availability and statistics of streamflow. These PRMS model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (LaFontaine and others, 2017); they include three types of data: 1) PRMS input parameter and data files, 2) PRMS output data files, and 3) GIS files...
Streamflow disaggregation techniques are used to distribute a single aggregate flow value to multiple sites in both space and time while preserving distributional statistics (i.e., mean, variance, skewness, and maximum and minimum values) from observed data. A number of techniques exist for accomplishing this task through a variety of parametric and nonparametric approaches. However, most of these methods do not perform well for disaggregation to daily time scales. This is generally due to a mismatch between the parametric distributions appropriate for daily flows versus monthly or annual flows, the high dimension of the disaggregation problem, compounded uncertainty in parameter estimation for multistage approaches,...
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Our objective was to model minimum flow coefficient of variation (CV) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between minimum flow CV (the standard deviation of annual minimum flows times 100 divided by the mean of annual minimum flows) on gaged streams (115 gages) and environmental variables....
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In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring has been conducted on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS also has collected long-term water-quality data to support additional assessments of changing water-quality conditions. These data have been combined to provide insight into how natural features and human activities have contributed...
Changes in the Earth’s climate are expected to impact freshwater habitats around the world by altering water temperatures, water levels, and streamflow. These changes will have consequences for inland fish – those found within lakes, rivers, streams, canals, reservoirs, and other landlocked waters – which are important for food, commerce, and recreation around the world. According to the U.S. Fish and Wildlife Service, in 2011, 33.1 million people fished and spent $41.8 billion in the United States alone. Yet to date, little comprehensive research has been conducted to investigate the effects of climate change on inland fisheries at a large scale. The aim of this project was to summarize the current state of knowledge,...
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In August 2015, water velocities around a fully-loaded commercial barge tow were measured as the barge tow traveled upstream through the Chicago Sanitary and Ship Canal from a starting position in Lockport Pool, and passed through the Electric Dispersal Barrier System at river mile (RM) 296 near Romeoville, IL. Velocity measurements were made in and alongside the gap formed by the junction between the boxed stern of a rake hopper barge and the raked bow of a rake tanker barge (herein referred to as the rake-to-box junction gap) using two SonTek Argonaut SW 3kHz acoustic Doppler velocity meters (ADVM). One ADVM was mounted 0.091 meters below the water surface, facing downward in the center of the rake-to-box junction...
The loss of snow cover and the initiation of streamflow are key triggers for both terrestrial and aquatic biota. Landscape-scale snowmelt and streamflow dynamics are difficult to estimate, however, because they integrate large spatial extents and can vary rapidly in time. Remotely sensed observations are often temporally discontinuous and point observations lack sufficient spatial density (e.g. point measures from data-logging piezometers). In this study, we employ inexpensive temperature/light sensors to monitor the distribution of snowmelt and headwater stream discharge as a proxy for hydrological state of the landscape with high spatial and temporal resolution. This study was conducted at the Redondo Peak, a...
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A table is presented listing: (1) USGS Gage Station Numbers, (2) Model Identification Tags, (3) Model Term Estimates, (4) Model Term Fit Statistics, and (5) Model Performance Indices for Maximum Likelihood Logistic Regression (MLLR) Models estimating hydrological drought probabilities in the United States. Models were developed using streamflow daily values (DV) readily available from the U.S. Geological Survey National Water Information System (NWIS) and mean monthly streamflows readily computed from NWIS streamflow DV. Models were prepared for 9,144 sites throughout the United States as described in: Modeling Summer Month Hydrological Drought Probabilities In The United States Using Antecedent Flow Conditions...
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Our objective was to model mean annual number of zero-flow days (days per year) for small streams in the Upper Colorado River Basin under historic hydrologic conditions on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between zero-flow days per year on gaged streams (115 gages) and environmental variables....
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​The basis for these features is U.S. Geological Survey Scientific Investigations Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS hydraulic model is a 12.9-mile reach of Johnson Creek from just upstream of SE 174th Avenue in Portland, Oregon, to its confluence with the Willamette River. Some of the hydraulics used in the model were taken from Federal Emergency Management Agency, 2010, Flood Insurance Study, City of Portland, Oregon, Multnomah, Clackamas, and Washington Counties, Volume 1 of 3, November 26, 2010. The Digital Elevation Model (DEM) utilized for the project was developed from lidar data flown in 2015 and provided by the Oregon Department...
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​The basis for these features is U.S. Geological Survey Scientific Investigations Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS hydraulic model is a 12.9-mile reach of Johnson Creek from just upstream of SE 174th Avenue in Portland, Oregon, to its confluence with the Willamette River. Some of the hydraulics used in the model were taken from Federal Emergency Management Agency, 2010, Flood Insurance Study, City of Portland, Oregon, Multnomah, Clackamas, and Washington Counties, Volume 1 of 3, November 26, 2010. The Digital Elevation Model (DEM) utilized for the project was developed from lidar data flown in 2015 and provided by the Oregon Department...
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Digital flood-inundation maps for a 7.5-mile reach of the White River at Noblesville, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the White River at Noblesville, Ind., streamgage (USGS station number 03349000). Real-time stages at this streamgage may be obtained from the USGS National Water Information System at https://waterdata.usgs.gov/nwis or the National Weather Service...


map background search result map search result map Effects of land cover change on streamflow in the interior Columbia River Basin (USA and Canada). Predicted minimum flow coefficient of variation (CV) for small streams in the Upper Colorado River Basin under historic hydrologic conditions. Predicted mean annual number of zero-flow days of small streams in the Upper Colorado River Basin based on historic flow data Hydroacoustic measurements of velocities in and near the rake-to-box junction gap of a moving, fully-loaded commercial barge tow Pesticide concentration and streamflow datasets used to evaluate pesticide trends in the Nation’s rivers and streams, 1992-2012 Pesticide concentration and streamflow datasets used to evaluate pesticide trends in the Nation’s rivers and streams, 1992-2012 (input) Flood inundation mapping data for Johnson Creek near Sycamore, Oregon Model Input and Output for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin using the Precipitation Runoff Modeling System Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the United States (2017) Areas of uncertainty for flood inundation extents at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor_breach.shp) Flood inundation depth for a flow of 2,578 cfs (stage 15) at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor_15.tif) Flood inundation depth for a flow of 3,080 cfs (stage 16) at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor_16.tif) Shapefile of the flood-inundation maps for the White River at Noblesville, Indiana Output Data from Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin in the southeastern U.S. using the Precipitation Runoff Modeling System Water Balance Model Inputs and Outputs for the Conterminous United States, 1900-2015 Flood-Inundation Grids and Shapefiles for the Lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut Hydroacoustic measurements of velocities in and near the rake-to-box junction gap of a moving, fully-loaded commercial barge tow Shapefile of the flood-inundation maps for the White River at Noblesville, Indiana Areas of uncertainty for flood inundation extents at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor_breach.shp) Flood inundation mapping data for Johnson Creek near Sycamore, Oregon Flood inundation depth for a flow of 2,578 cfs (stage 15) at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor_15.tif) Flood inundation depth for a flow of 3,080 cfs (stage 16) at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor_16.tif) Flood-Inundation Grids and Shapefiles for the Lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut Output Data from Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin in the southeastern U.S. using the Precipitation Runoff Modeling System Model Input and Output for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin using the Precipitation Runoff Modeling System Predicted minimum flow coefficient of variation (CV) for small streams in the Upper Colorado River Basin under historic hydrologic conditions. Predicted mean annual number of zero-flow days of small streams in the Upper Colorado River Basin based on historic flow data Effects of land cover change on streamflow in the interior Columbia River Basin (USA and Canada). Pesticide concentration and streamflow datasets used to evaluate pesticide trends in the Nation’s rivers and streams, 1992-2012 Pesticide concentration and streamflow datasets used to evaluate pesticide trends in the Nation’s rivers and streams, 1992-2012 (input) Water Balance Model Inputs and Outputs for the Conterminous United States, 1900-2015 Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the United States (2017)