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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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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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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...
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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...
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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...
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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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The Precipitation-Runoff Modeling System (PRMS) was used to produce simulations of streamflow for seven watersheds in eastern and central Montana for a baseline period (water years 1982-1999) and three future periods (water years 2021-2038, 2046–2063, and 2071-2038). The seven areas that were modeled are the O'Fallon, Redwater, Little Dry, Middle Musselshell, Judith, Cottonwood Creek, and Belt watersheds. Appendix 2 is provided as supplementary information to accompany the forthcoming journal article Potential Effects of Climate Change on Streamflow for Seven Watersheds in Eastern and Central Montana. These data document the monthly streamflow (in cubic meters per second) at the downstream end of each stream...
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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 High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated datset of geospatial data layers, including the most current National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and...
Types: Citation; Tags: Administrative watershed units, Area of Complex Channels, Area to be submerged, Basin, Bay/Inlet, All tags...
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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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This geodatabase contains streams, waterbodies and wetlands, streamflow gaging stations, and coastlines for the United States, Puerto Rico, and the U.S. Virgin Islands. The streams are incorporated into a geometric network. All feature classes are vertically integrated with each other and with 1:1,000,000-scale transportation and boundary data sets.
Types: Citation; Tags: Alabama, Alaska, Arizona, Arkansas, California, All tags...
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This geodatabase contains streams, waterbodies and wetlands, streamflow gaging stations, and coastlines for Alaska. The streams are incorporated into a geometric network. All feature classes are vertically integrated with each other and with 1:1,000,000-scale transportation and boundary data sets.
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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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The National Water Quality Network (NWQN) for Rivers and Streams includes 113 surface-water river and stream sites monitored by the U.S. Geological Survey (USGS) National Water Quality Program, National Water-Quality Assessment (NAWQA) Project. The NWQN includes 19 large river coastal sites, 44 large river inland sites, 30 wadeable stream reference sites, 10 wadeable stream urban sites, and 10 wadeable stream agricultural sites. In addition to the 113 NWQN sites, 3 large inland river monitoring sites from the USGS Cooperative Water Program are also included in this annual water-quality reporting Web site to be consistent with previous USGS studies of nutrient transport in the Mississippi-Atchafalaya River Basin....


map background search result map search result map Appendix 2. Simulated monthly mean streamflows for the seven study watersheds in eastern and central Montana, for the baseline period (WY 1982 – 1999) and future periods (WYs 2021 – 2038, 2046 – 2063 and 2071 – 2088) for the three General Circulation Models used in the regional climate model. 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 National Hydrography Dataset Plus High Resolution (NHDPlus HR) - USGS National Map Downloadable Data Collection 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) Pesticide concentration and streamflow datasets used to evaluate pesticide trends in the Nation’s rivers and streams, 1992-2012 (output) USGS Small-scale Dataset - 1:1,000,000-Scale Hydrographic Geodatabase of the United States - Alaska 201403 FileGDB 10.1 USGS Small-scale Dataset - 1:1,000,000-Scale Hydrographic Geodatabase of the United States 201403 FileGDB 10.1 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) Flood inundation extents for flows of 800 to 3,080 cfs at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor.shp) 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 982 cfs (stage 10) at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor_10.tif) 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) Water Balance Model Inputs and Outputs for the Conterminous United States, 1900-2015 Hydroacoustic measurements of velocities in and near the rake-to-box junction gap of a moving, fully-loaded commercial barge tow Flood inundation extents for flows of 800 to 3,080 cfs at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor.shp) 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 982 cfs (stage 10) at gage 14211500, Johnson Creek near Sycamore, Oregon (sycor_10.tif) 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) Model Input and Output for Hydrologic Simulations of the Apalachicola-Chattahoochee-Flint River Basin using the Precipitation Runoff Modeling System Appendix 2. Simulated monthly mean streamflows for the seven study watersheds in eastern and central Montana, for the baseline period (WY 1982 – 1999) and future periods (WYs 2021 – 2038, 2046 – 2063 and 2071 – 2088) for the three General Circulation Models used in the regional climate model. 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 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) Pesticide concentration and streamflow datasets used to evaluate pesticide trends in the Nation’s rivers and streams, 1992-2012 (output) Water Balance Model Inputs and Outputs for the Conterminous United States, 1900-2015 USGS Small-scale Dataset - 1:1,000,000-Scale Hydrographic Geodatabase of the United States - Alaska 201403 FileGDB 10.1 Terms, Statistics, and Performance Measures for Maximum Likelihood Logistic Regression Models Estimating Hydrological Drought Probabilities in the United States (2017) National Hydrography Dataset Plus High Resolution (NHDPlus HR) - USGS National Map Downloadable Data Collection USGS Small-scale Dataset - 1:1,000,000-Scale Hydrographic Geodatabase of the United States 201403 FileGDB 10.1