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The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Pacific Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southwestern Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
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Physical and chemical data were collected to characterize water-quality conditions in the Sakonnet River, a tidal strait located on the east side of Narragansett Bay in Rhode Island, from April 28 to November 11, 2018 and from June 19 to November 26, 2019. Specifically, the 2018 information in this data release includes: vertical profiles of water quality from 16 to 18 locations and data collected from three surface spatial surveys (moving boat surveys) designed to characterize near-surface water-quality conditions in the river. Temperature, pH, specific conductance, salinity, dissolved oxygen concentration and saturation, turbidity, and chlorophyll a data were collected with calibrated water-quality sensors. Water-quality...
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This data set archives all inputs, outputs and scripts needed to reproduce the findings of W.H. Farmer and G.F. Koltun in the 2017 Journal of Hydrology Regional Studies article entitled “Geospatial Tools Effectively Estimated Nonexceedance Probabilities of Daily Streamflow at Ungauged and Intermittently Gauged Locations in Ohio”. Input data includes observed streamflow values, in cubic feet per second, for 152 streamgages in and around Ohio from 01 January 2009 through 31 August 2015. Data from the Ohio Environmental Protection Agency on where and when water quality samples were taken are also provided. Geospatial locations are provided for all streamgages and sampling sites considered. ESRI ArcGIS shapefiles are...
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Nitrogen and phosphorus losses from agricultural areas have impacted the water quality of downstream rivers, lakes, and oceans. As a result, investment in the adoption of agricultural best management practices (BMPs) has grown but assessments of their effectiveness at large spatial scales have been sparse. This study applies regional Spatially Referenced Regression On Watershed-attributes (SPARROW) models developed for the Midwest, Northeast, and Southeast regions of the United States to quantify regional effects of BMPs on nutrient losses from agricultural lands. These models were used because they account for specific BMPs in the prediction of instream nutrient loads. This data release accompanies the journal...
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The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Northeast Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
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Consumptive use (CU) of water is an important factor for determining water availability and groundwater storage. Many regional stakeholders and water-supply managers in the Upper Rio Grande Basin have indicated CU is of primary concern in their water-management strategies, yet CU data is sparse for this area. This polygon feature class, which represents irrigated acres for 2015, is a geospatial component of the U.S. Geological Survey National Water Census Upper Rio Grande Basin (URGB) focus area study's effort to improve quantification of CU in parts of New Mexico, west Texas, and northern Chihuahua. These digital data accompany Ivahnenko, T.I., Flickinger, A.K., Galanter, A.E., Douglas-Mankin, K.R., Pedraza, D.E.,...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Abiquiu Reservoir, Ahumada, Alamosa, Alamosa County, Alamosa Creek, All tags...
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The U.S. Geological Survey, in cooperation with the California Department of Water Resources (DWR), has constructed a new spatially distributed Precipitation-Runoff Modeling System (PRMS) for the Merced River Basin (Koczot and others, 2021), which is a tributary of the San Joaquin River in California. PRMS is a deterministic, distributed-parameter, physical-process-based modeling system developed to evaluate the response of streamflow and basin hydrology to various combinations of climate and land use (Markstrom and others, 2015). Although further refinement may be required to apply the Merced PRMS for official streamflow forecast operations, this application of PRMS is calibrated with intention to simulate (and...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: California, Climate, Climatology, Draper Climate-Distribution Software (Draper), Geography, All tags...
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Urban growth and climate change together complicate planning efforts meant to adapt to increasingly scarce water supplies. Several studies have shown the impacts of urban planning and climate change separately, but little attention has been given to their combined impact on long-term urban water demand forecasting. Here we coupled land and climate change projections with empirically-derived coefficient estimates of urban water use (sum of public supply, industrial, and domestic use) to forecast water demand under scenarios of future population densities and climate warming. We simulated two scenarios of urban growth from 2012 to 2065 using the FUTure Urban-Regional Environment Simulation (FUTURES) framework. FUTURES...
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This data release contains a table of measured arsenic concentrations and associated model input variables used to test existing multivariate logistic regression models that predict the probabilities of arsenic concentrations exceeding threshold values of 1, 5, and 10 micrograms per liter in bedrock aquifers of New Hampshire. Location data are censored to the county level.
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A camera was deployed to monitor cyanobacterial surface blooms occurring in Willow Creek Reservoir in Heppner, Oregon. The camera was positioned above the water and facing downwards to achieve the desired contrast in colors. With the appropriate permissions from USACE, the camera was attached to a railing of the Willow Creek Dam in the northwest corner of the reservoir about 70 feet above the surface of the water. The system was powered by a solar panel and large battery. The camera was programmed to take a series of 5 pictures from different angles every 15 minutes during daylight hours. During 2015, the camera was installed on May 14 and retrieved on November 9. A polarizing lens specific to the Axis 214 camera...
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The U.S. Geological Survey’s SPAtially Referenced Regression On Watershed attributes (SPARROW) for the Southeastern United States was used to simulate changes in total nitrogen, total phosphorus and suspended sediment load in streams under two scenarios: (1) where all forests are urbanized and (2) where all forests are urbanized and runoff is adjusted based on a non-forested landscape. This data release includes model input not published with the original model and used for scenario simulations, and model output for total nitrogen, total phosphorus, and suspended sediment under baseline conditions, scenario (1), and scenario (2). Original model input, output, and shapefiles are available (Roland and Hoos, 2020,...
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The Transboundary Aquifer Assessment Act was established to systematically assess priority aquifers along the U.S.-Mexico international boundary. The priority aquifers that were specified include the Hueco-Mesilla Bolsons aquifer in Texas and New Mexico and its counterpart in Mexico, the Conejos-Médanos Aquifer system, and the Santa Cruz and San Pedro aquifers in Arizona (Texas Water Development Board, 2019). The Transboundary Aquifer Assessment Program (TAAP) was started in 2009 and is a collaborative effort between the U.S. Geological Survey, Arizona Water Resources Research Center, New Mexico Water Resources Research Institute, and the Texas Water Resources Institute (U.S. Geological Survey, 2018) to better understand...
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The U.S. Geological Survey’s (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Midwest Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
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In 2004, about 90 migrating elk drowned after attempting to cross thin ice on the Mores Creek arm of Lucky Peak Lake upstream of the Highway 21 bridge. To better understand the depths over a range of reservoir pool elevations in the Mores Creek Arm, the U.S. Geological Survey, in cooperation with the Lucky Peak Power Plant Project, conducted high-resolution multibeam echosounder (MBES) bathymetric surveys on the Mores Creek arm on Lucky Peak Lake. The MBES data will assist reservoir managers and wildlife biologists with regulating reservoir water surface elevations (WSE) to support successful big game migration across Mores Creek on Lucky Peak Lake. Data collection provided nearly 100 percent coverage of bed elevations...
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The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southeast Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
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This data release contains input and output data tables from a SPAtially Referenced Regression On Watershed attributes (SPARROW) model, which estimated total nitrogen loads in streams of the Chesapeake Bay watershed under varying better management practice implementation scenarios. Further documentation about the SPARROW modeling framework can be found here: https://pubs.er.usgs.gov/publication/tm6B3. A model archive containing inputs, outputs, code, and helpful spatial data is also included as a zipped folder. This model archive can be used to recreate the output provided in this data release. The model archive includes a read me text file that documents the contents of the archive and how it can be used. SPARROW_Inputs.csv...
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NOTE: This data release has been deprecated. There is an updated version available here: https://doi.org/10.5066/P94EKLPP. The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southwestern Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing...
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High frequency water-quality measurements were collected by the U.S. Geological Survey within Willow Creek Reservoir located in Heppner, Oregon. All measurements were taken at 0.5 meters below the surface with a YSI EXO2 multiparameter sonde. Information collected include location, time, water temperature, pH, specific conductance, dissolved oxygen, total chlorophyll, blue-green algae phycocyanin, and turbidity. The measurements were collected while boating around the reservoir at about 4 kilometers per hour. These data were collected on June 9, 2015, August 17, 2016, and September 16, 2016, and are published as individual datasets for each date.
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This data release includes data created, collected, and/or otherwise modified in the process of quantifying a sediment budget for the Smith Creek Watershed near New Market, Virginia, USA. Five raster files are included, namely a modeled index of hydrological connectivity, a raster model of modeled floodplain depositional masses and extent, a rasters of modeled gross and delivered upland erosion, and a hydrologically conditioned Digital Elevation Model (DEM). Two vector shapefiles are also included. The first documents the results from the stepwise linear regression models developed to estimate erosion attributed to streambeds, streambanks, and floodplains along stream reaches throughout the watershed. The second...


map background search result map search result map Testing data set for independent analysis of New Hampshire arsenic model Geospatial Tools Effectively Estimate Nonexceedance Probabilities of Daily Streamflow at Ungauged and Intermittently Gauged Locations in Ohio: Data Release Spatial water-quality measurements in Willow Creek Reservoir located in Heppner, Oregon, 2015-2016 Water Surface Images of Willow Creek Reservoir in Heppner, Oregon (2015 and 2016) Archive of Merced River Basin Precipitation-Runoff Modeling System, with forecasting, climate-file preparation, and data-visualization tools 2015 Irrigated acres feature class for the Upper Rio Grande Basin, New Mexico and Texas, United States and Chihuahua, Mexico SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Midwestern United States, 2012 Base Year Land-use and water demand projections (2012 to 2065) under different scenarios of environmental change for North Carolina, South Carolina, and coastal Georgia SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Pacific Region of the United States, 2012 Base Year (ver 1.1, June 2020) SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Northeastern United States, 2012 Base Year SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southeastern United States, 2012 Base Year Physical and Chemical Data to Characterize Water-Quality Conditions in the Sakonnet River, Rhode Island, 2018-2019 SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year (ver. 2.0, October 2020) Nutrient Load Data used to Quantify Regional Effects of Agricultural Best Management Practices: An application of the 2012 SPARROW models for the Midwest, Northeast, and Southeast United States SPARROW Model Simulated Nutrient and Suspended Sediment Loads in Streams when All Forests are Urbanized Across the Southeastern United States Transboundary Aquifer Assessment Program-Geospatial and Tabular Datasets Used in the Compilation of Physiography, Geology, Hydrogeology, and Water Quality Data for the Fort Bliss, Dona Ana Range, McGregor Range, and White Sands Missile Range Area, Texas and New Mexico, 1905 to 2019 Mores Creek Arm Bathymetric Survey, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 Sediment model inputs and outputs for the Smith Creek watershed near New Market, Virginia for 2012-2016 SPARROW Model Inputs and Estimated Effects of Agricultural Conservation Practices on Total Nitrogen in Streams of the Chesapeake Bay Watershed Water Surface Images of Willow Creek Reservoir in Heppner, Oregon (2015 and 2016) Spatial water-quality measurements in Willow Creek Reservoir located in Heppner, Oregon, 2015-2016 Mores Creek Arm Bathymetric Survey, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 Sediment model inputs and outputs for the Smith Creek watershed near New Market, Virginia for 2012-2016 Archive of Merced River Basin Precipitation-Runoff Modeling System, with forecasting, climate-file preparation, and data-visualization tools Testing data set for independent analysis of New Hampshire arsenic model Transboundary Aquifer Assessment Program-Geospatial and Tabular Datasets Used in the Compilation of Physiography, Geology, Hydrogeology, and Water Quality Data for the Fort Bliss, Dona Ana Range, McGregor Range, and White Sands Missile Range Area, Texas and New Mexico, 1905 to 2019 Geospatial Tools Effectively Estimate Nonexceedance Probabilities of Daily Streamflow at Ungauged and Intermittently Gauged Locations in Ohio: Data Release SPARROW Model Inputs and Estimated Effects of Agricultural Conservation Practices on Total Nitrogen in Streams of the Chesapeake Bay Watershed 2015 Irrigated acres feature class for the Upper Rio Grande Basin, New Mexico and Texas, United States and Chihuahua, Mexico Land-use and water demand projections (2012 to 2065) under different scenarios of environmental change for North Carolina, South Carolina, and coastal Georgia SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Northeastern United States, 2012 Base Year SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southeastern United States, 2012 Base Year SPARROW Model Simulated Nutrient and Suspended Sediment Loads in Streams when All Forests are Urbanized Across the Southeastern United States SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Pacific Region of the United States, 2012 Base Year (ver 1.1, June 2020) SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year (ver. 2.0, October 2020) SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Southwestern United States, 2012 Base Year SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Midwestern United States, 2012 Base Year Nutrient Load Data used to Quantify Regional Effects of Agricultural Best Management Practices: An application of the 2012 SPARROW models for the Midwest, Northeast, and Southeast United States