Skip to main content
Advanced Search

Filters: Tags: river systems (X) > Types: OGC WFS Layer (X)

21 results (9ms)   

View Results as: JSON ATOM CSV
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
thumbnail
This data set includes new and historical sediment data collected at the U.S. Geological Survey (USGS) streamgage on the Nemadji River near South Superior, Wisconsin (station number 04024430) from 1973 through 2016. The data were used in a comparison study of stream sediment collection and laboratory techniques for characterizing suspended sediment, bedload, and total sediment loads. Data results included in this data release include 1) suspended-sediment concentration data collected in 2015-16 using U.S. Geological Survey and Wisconsin and Minnesota Department of Natural Resources (DNR) methods; 2) streambed material particle size, measured bedload, total sediment loads, and model archive for the modified Einstein...
thumbnail
This data release contains three 10-meter resolution GeoTIFFs representing 10-meter (35-foot), 30-meter (100-foot) and 90-meter (300-foot) riparian buffer zones along shorelines, rivers, streams, and other lotic (flowing) water features. The layers are binary, where the value of each cell represents the presence or absence of the buffer zone. In addition, the data release contains shapefile layers that document the extent of corrections that were made to the data to address errors in the stream network (see processing steps section for more details). The methodology combines various fine-scale input layers, including a 1:24k stream network and Chesapeake Bay 1-meter resolution Land Use/Land Cover to approximate...
thumbnail
This dataset includes inputs and results for parameterizing the USGS Thornthwaite Monthly Water Balance Model (MWBM) to simulate annual stream permanence on National Hydrography Dataset (NHD) stream reaches. Also included are results from sensitivity analysis of MWBM parameters to final stream permanence classification (permanent or nonpermanent). The dataset includes files that link PRISM climate grids to NHD catchments and flowlines. Data tables describe the sensitivity of MWBM stream permanence classifications to each of the altered MWBM parameters. Suitable MWBM parameter sets, which resulted in accuracy of at least 65% when compared to observed surface water conditions, for modeling stream permanence are presented...
thumbnail
Two tributary watersheds¬ Cottonwood Creek and Little Dry Creek¬ to the greater San Joaquin watershed, in California’s Central Valley were assessed for sediment and flow dynamics, between water years (Oct. 1 to Sept. 30) 2011 and 2019. The two systems deliver suspended sediment to the San Joaquin River below Friant Dam, California. Because these two creeks are directly down river of Friant Dam, they become the most upstream source of sediment to the San Joaquin River below Friant Dam. Thus, is it important to assess their contribution to the San Joaquin system. Flow from each creek watershed, along with the San Joaquin River, was compared to continuously measured water surface elevations to quantify flow direction...
thumbnail
This dataset includes spatial locations where surface water presence observations were collected during the late summer baseflow period in Mt. Rainier National Park and surrounding area in Washington State, July 2018 - September 2020. Stream flow status (continuous flow, discontinuous flow, and dry) were recorded using the FLOwPER (FLOw PERmanence) field survey available in the Survey 123 and S1 mobile application for observations collected in 2019 and 2020. Observations collected in 2018 used an earlier version of the FLOwPER survey. Additional information to describe the field conditions are included as part of the survey. The observations were processed to correspond to pixels on the medium resolution National...
thumbnail
The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled from multiple sources, but principally represent lidar-derived linework from the South Carolina Department of Natural Resources and the South Carolina Lidar Consortium.The South Carolina hydrography lines were created from elevation rasters that ranged from 4 to 10 ft resolution, to produce a product of approximately 1:6,000-scale....
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Abbeville County, Aiken County, Allendale County, Anderson County, Bamberg County, All tags...
thumbnail
The U.S. Geological Survey (USGS) collected hydroacoustic data of the St. Croix River adjacent to the Osceola (WI) boat ramp for hydrographic and benthic mapping prior to the reconstruction project implemented by the National Park Service (NPS). High-resolution bathymetry data was surveyed using a multibeam sonar. The depth and characteristics of the riverbed are important parameters of habitat for benthic (bottom-dwelling) organisms, and are a fundamental parameter for riverine ecosystems. Contours are an outline or boundary of specified depth intervals. These datasets were desired by the NPS to help inform and mitigate potential impacts to mussels or benthic habitat.
thumbnail
The U.S. Geological Survey (USGS) collected hydroacoustic data of the St. Croix River adjacent to the Osceola (WI) boat ramp for hydrographic and benthic mapping prior to the reconstruction project implemented by the National Park Service (NPS). High-resolution bathymetry data was surveyed using a multibeam sonar. The depth and characteristics of the riverbed are important parameters of habitat for benthic (bottom-dwelling) organisms, and are a fundamental parameter for riverine ecosystems. Contours are an outline or boundary of specified depth intervals. These datasets were desired by the NPS to help inform and mitigate potential impacts to mussels or benthic habitat.
thumbnail
This table contains estimates for upland sediment erosion and delivery to the stream estimated using a modified Revised Universal Soil Loss Equation 2 (RUSLE2) approach (USDA-ARS, 2013). Upland erosion (Eu) was calculated as the sum of the product of the erosivity factor (Rm) estimated for each month, the soil erodibility factor (K), the length-slope factor (LS), C-factor (Cm) for each month, farming support practices (P) assumed to be 1, and the area of each land cover grouping in acres. Rasters with 10-m resolution were created for these five variables in the modified RUSLE2 equation to create an upland erosion (Eu) raster for the study area. Data were calculated for each National Hydrography (NHD) Dataset Version...
thumbnail
This data release supports U.S. Geological Survey (USGS) Scientific Investigations Report 2023-5106, Groundwater Discharge by Evapotranspiration from the Amargosa Wild and Scenic River and Contributing Areas, Inyo and San Bernardino Counties, California. It consists of two comma-separated values (CSV) files containing data collected at two USGS atmospheric monitoring locations (USGS site identification numbers 355846116160401 and 355918116161801) beginning in January 2018 and lasting for approximately 1 year. The data include 30-minute values for cumulative normalized flux for 6 circular areas around each site and 30-minute values for unadjusted total evapotranspiration. The radii of the circular areas are 25, 50,...
thumbnail
From 16 June to 30 July, 2021, a Virginia Tech team of 4-6 sampled the fish community in 30 Shenandoah Valley streams (Virginia and West Virginia, USA) as part of a larger stream-health study including other teams who surveyed geomorphology, water quality, flow, temperature, macroinvertebrates, and fish health at the same 30 streams. The fish community team also sampled three additional bonus streams (SiteID's FOLL, NAKE, and TUMB) during 19-22 August, 2021. These 33 streams had upstream drainage areas of 7 to 46 sq. km and included 4 James River tributaries (SiteID's POAG, MLRB, CEDR, PISG), one Potomac River tributary (HARL), and 28 Shenandoah River tributaries. At each stream, we sampled fish from two reaches...
thumbnail
In support of a preliminary analysis performed by New York State Department of Environmental Conservation (NYSDEC) that found elevated nutrient levels along selected reaches of the Mohawk River, one-dimensional, unsteady, hydraulic and water-quality models using HEC-RAS and HEC-RAS Nutrient Simulation Module I (version 5.0.3) were developed by the U.S. Geological Survey (USGS) for the 127-mile reach of the Mohawk River between Rome and Cohoes, New York. The models were designed to accurately simulate within-channel flow conditions for this highly regulated, control structure dense river reach. The models were calibrated for the study period of May through September 2016 using best available streamflow, temperature,...
thumbnail
This dataset contains spatial datasets of topographic and bathymetric survey data in addition to data table the shapefile data collected at the 3 focal areas of research included in the Sustainable Rivers Program (SRP) in the Allegheny River that were collected and processed in collaboration with US Army Corps of Engineers (USACE). The dataset is a combination of terrestrial topographic and bathymetry data measured by Trimble R10 Model 2 GNSS survey equipment or a FlowTracker2 Acoustic Doppler Velocimeter (ADV). The FlowTracker2 was used for flow measurements and water depth and spatial location of each flow measurement point were used to calculate river bottom bathymetry at those locations. Additionally, National...
thumbnail
From October 2017 through September 2022, the National Water Quality Network (NWQN) monitored 110 surface-water river and stream sites and more than 1,800 groundwater wells for a large number of water-quality analytes, for which associated quality-control data and corresponding statistical summaries are included in this data release. The quality-control data—for samples that were collected in the field (at all 110 surface-water sites, 350 groundwater wells, and 16 quality-control-only sites), prepared in the laboratory, or prepared by a third party—can be used to assess the quality of environmental data collected by the NWQN through the estimation of bias and variability in reported results. The general analyte...
thumbnail
This dataset is part of a multi-scale assessment and classification for segments of 15 rivers of the Upper Midwest United States that meet various criteria for largeness. All rivers are tributary to the Mississippi River system. The 11,600 kilometers (km) that qualified as large were parsed into 10-kilometer-long segments and classified by major alterations (free-flowing, navigation pools, storage reservoir). The dataset also includes a statistically based, component classification based on the 10-km segments. Cluster analysis of hydrologic variables from 66 streamflow gaging stations yielded 5 clusters calculated from 5 ecohydrological metrics related to lateral connectivity with the floodplain. A separate cluster...
thumbnail
This dataset describes the location of channel heads survyed in two headwater watersheds in Clarksburg, Montgomery County, Maryland, and the digital elevation models derived from light detection and ranging (lidar) covering the two watersheds. The digital elevation models were used to derive topographic attributes used to delineate drainage networks that were then assessed for accuracy using the field-surveyed channel heads. First posted - January 21, 2021 (available from author) Revised - October 15, 2021 (version 2.0)
thumbnail
A machine learning streamflow (MLFLOW) model was developed in R (model is in the Rscripts folder) for modeling monthly streamflow from 2012 to 2017 in three watersheds on the Wyoming Range in the upper Green River basin. Geospatial information for 125 site features (vector data are in the Sites.shp file) and discrete streamflow observation data and environmental predictor data were used in fitting the MLFLOW model and predicting with the fitted model. Tabular calibration and validation data are in the Model_Fitting_Site_Data.csv file, totaling 971 discrete observations and predictions of monthly streamflow. Geospatial information for 17,518 stream grid cells (raster data are in the Streams.tif file) and environmental...
map background search result map search result map UMRR Illinois River Alton Reach Bathymetry Footprint RUSLE2 Upland Erosion and Sediment Delivery to Stream Data Table for Difficult Run, Virginia Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021) Stream Lines Used to Produce the South Carolina StreamStats 2018 Release Segment-scale classification, large rivers of the Upper Midwest United States Selected sediment data and results from regression models, modified Einstein Procedure, and loads estimation for the Nemadji River, 1973-2016 Stream network polylines for Eagle, Dayton, and Churchill Valleys, West-Central, Nevada Little Dry Creek and Cottonwood Creek Sediment Transport Data, 2012-2018, San Joaquin Watershed in the California Central Valley SACN Osceola Boat Landing: 2019 Topobathy Depth Contours (vector) SACN Osceola Boat Landing: 2019 Topobathy Elevation Contours (vector) HEC-RAS hydraulic, temperature, and nutrient models for the Mohawk River between Rome and Cohoes, New York Sensitivity and precision of stream permanence estimates (1977-2019) from the USGS Thornthwaite Monthly Water Balance Model in the Pacific Northwest, USA Input data, model output, and R scripts for a machine learning streamflow model on the Wyoming Range, Wyoming, 2012–17 Groundwater discharge areas and evapotranspiration units for the Amargosa Wild and Scenic River and contributing areas, Inyo and San Bernardino Counties, California Surface water presence field observation points for Mt. Rainier and surrounding area, WA, July 2018 - September 2020 Geospatial Dataset of Topographic and Bathymetric Survey Points collected for US Army Corps of Engineers as part of the Sustainable Rivers Program in the Allegheny River, PA downstream of the Kinzua Dam. Fish communities in Shenandoah Valley streams, 2021 Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones Field, laboratory, and third-party quality-control data associated with sites and analytes monitored by the USGS National Water Quality Network, October 2017 through September 2022 Supplemental data for the report Groundwater Discharge by Evapotranspiration from the Amargosa Wild and Scenic River and Contributing Areas, Inyo and San Bernardino Counties, California Supplemental data for the report Groundwater Discharge by Evapotranspiration from the Amargosa Wild and Scenic River and Contributing Areas, Inyo and San Bernardino Counties, California SACN Osceola Boat Landing: 2019 Topobathy Depth Contours (vector) SACN Osceola Boat Landing: 2019 Topobathy Elevation Contours (vector) Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021) Geospatial Dataset of Topographic and Bathymetric Survey Points collected for US Army Corps of Engineers as part of the Sustainable Rivers Program in the Allegheny River, PA downstream of the Kinzua Dam. Selected sediment data and results from regression models, modified Einstein Procedure, and loads estimation for the Nemadji River, 1973-2016 RUSLE2 Upland Erosion and Sediment Delivery to Stream Data Table for Difficult Run, Virginia Little Dry Creek and Cottonwood Creek Sediment Transport Data, 2012-2018, San Joaquin Watershed in the California Central Valley Stream network polylines for Eagle, Dayton, and Churchill Valleys, West-Central, Nevada Fish communities in Shenandoah Valley streams, 2021 HEC-RAS hydraulic, temperature, and nutrient models for the Mohawk River between Rome and Cohoes, New York Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones Surface water presence field observation points for Mt. Rainier and surrounding area, WA, July 2018 - September 2020 Stream Lines Used to Produce the South Carolina StreamStats 2018 Release Sensitivity and precision of stream permanence estimates (1977-2019) from the USGS Thornthwaite Monthly Water Balance Model in the Pacific Northwest, USA Segment-scale classification, large rivers of the Upper Midwest United States Field, laboratory, and third-party quality-control data associated with sites and analytes monitored by the USGS National Water Quality Network, October 2017 through September 2022