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SPARROW model dataset for total suspended solids in North Carolina, including simulated stream loads To better understand the influence of human activities and natural processes on surface-water quality, the U.S. Geological Survey (USGS) developed the SPARROW (SPAtially Referenced Regressions On Watershed attributes) (Schwarz and others, 2006; Alexander and others, 2008) model. The framework is used to relate water-quality monitoring data to sources and watershed characteristics that affect the fate and transport of constituents to receiving surface-water bodies. The core of the model consists of using a nonlinear-regression equation to describe the non-conservative transport of contaminants from point and nonpoint sources on land to rivers, lakes and estuaries through the stream and river network. In North Carolina,... Categories: Data; Tags: North Carolina (state), USGS Science Data Catalog (SDC), Water Quality, surface water quality 08: Daily average stream base flow at 14 watersheds in Gwinnett County, Georgia for water years 2002-2020 This dataset contains the daily average base flow, as determined by hydrograph separation, for 14 watersheds in Gwinnett County, Georgia for October 2001 through September 2020. Hydrograph separations were done using the Web-based Hydrograph Analysis Tool (WHAT) using the simple local minimum method on the daily average streamflows, which are also provided in this dataset. Base flow along with the calculated base-flow index (the proportion of base flow to total flow) were used to characterize groundwater recharge and the relative degree of storm runoff in the watersheds. Base flow was also used as predictor variable in models for estimating streamwater constituent loads for 12 water-quality constituents at 13 of... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Gwinnett County, State of Georgia, datasets, inlandWaters, streamflow, All tags... watershed, Fewer tags 11: Streamwater sample constituent concentration outliers from 15 watersheds in Gwinnett County, Georgia for water years 2003-2020 This dataset contains a list of outlier sample concentrations identified for 17 water quality constituents from streamwater sample collected at 15 study watersheds in Gwinnett County, Georgia for water years 2003 to 2020. The 17 water quality constituents are: biochemical oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), suspended sediment concentration (SSC), total nitrogen (TN), total nitrate plus nitrite (NO3NO2), total ammonia plus organic nitrogen (TKN), dissolved ammonia (NH3), total phosphorus (TP), dissolved phosphorus (DP), total organic carbon (TOC), total calcium (Ca), total magnesium (Mg), total copper (TCu), total lead (TPb), total zinc (TZn), and total dissolved solids... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Gwinnett County, State of Georgia, inlandWaters, surface water quality Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022 As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey is assessing streambank erosion potential in selected stream reaches throughout the Greater Raleigh metropolitan area. Rapid field measurement techniques were used to assess streambank stability at 124 stream segments between January and March 2022. Field data were collected using the Bank Erosion Hazard Index (BEHI) and Near Bank Stress (NBS) assessment methods (Rosgen, 2001; Rosgen and others, 2008) as well as the Rapid Geomorphic Assessment (RGA) method (Simon and others, 2007). This Data Release contains a dataset with all stream site information, field measurements, and streambank stability assessment results;... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Geomorphology, Geomorphology, Hydrology, Land Use Change, Raleigh, North Carolina, All tags... Sedimentology, Soil Sciences, Streambank stability, USGS Science Data Catalog (SDC), Wake County, North Carolina, Water Quality, Water Resources, Fewer tags Stream cross-section, benthic macroinvertebrate and fish taxa counts and abundance, and water chemistry data for the Clarksburg study area in Montgomery County, Maryland, 1992 - 2020 (ver. 1.1, April 2022) Montgomery County, Maryland Department of Environmental Protection has collected datasets to assess the health of streams since the early 1990s. Datasets include geomorphic stream cross-sectional surveys, fish and benthic macroinvertebrate counts and taxa abundance, and water chemistry data collected at the time of benthic and fish sampling (dissolved oxygen, pH, specific conductance, air temperature, and water temperature). Data span years 1992 to 2020 at five watersheds within the Clarksburg study area. Watersheds include a forested reference site (Soper), an urban site with centralized stormwater management (Crystal Rock), and three treatment watersheds (TR104, TR109, and Cabin Branch) within the Clarksburg Special... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Clarksburg, Maryland, Montgomery County, Montgomery County, USGS Science Data Catalog (SDC), All tags... Upper Chesapeake Bay, benthic ecosystems, biota, geomorphology, surface water quality, Fewer tags Drainage network for the Greater Raleigh Area, North Carolina, 2015-2022 As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a drainage network for the Greater Raleigh Area, North Carolina using the most recent available lidar data, representing the years 2015 and 2022. This dataset includes the delineated drainage network (drainage_network.zip) and rasters representing the breached and filled digital elevation model (raleigh_dem_fil.tif), the flow accumulation raster (raleigh_d8_fac.tif), and the flow direction raster (raleigh_d8_fdr.tif). Raster files are available as Cloud Optimized GeoTIFFs, meaning they are formatted to work on the cloud or can be directly downloaded. The drainage network was delineated for all locations... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Geomorphology, Hydrology, North Carolina, Raleigh, Remote Sensing, All tags... USGS Science Data Catalog (SDC), Upper Neuse, Wake County, Water Resources, digital elevation model, geospatial analysis, geospatial datasets, hydrology, lidar, stream, topography, Fewer tags Geomorphic metrics across four catchments in Clarksburg, Maryland, 2002-19 This dataset contains geomorphic metrics across 32 cross-sections at four catchments within the Clarksburg Special Protection Area in Montgomery County, Maryland. These data were derived from raw cross-sectional data collected by the Montgomery County, Maryland Department of Environmental Protection. Geomorphic metrics include channel area, bed location, channel depth, channel width, and bank movement for each bank. The catchment types included in this assessment were a majority agricultural catchment which began to be developed in 2016, a forested "control" catchment, and two urbanizing catchments with a high density of stormwater best management practices, in which cross-sectional surveys were collected pre-,... Categories: Data; Tags: Clarksburg, Maryland, Montgomery County, USGS Science Data Catalog (SDC), Upper Chesapeake Bay, All tags... Water Resources, geomorphology, geoscientificInformation, inlandWaters, Fewer tags 13: Models coefficients and statistics for regression models used to estimate streamwater loads for 12 water-quality constituents in 13 watersheds in Gwinnett County, Georgia for water years 2003-2020 The dataset contains model coefficients and statistics for the 488 regression models used to estimate streamwater constituent loads for 13 watersheds in Gwinnett County, Georgia for two calibration periods, water years 2003-2010 and 2010-2020. Model terms were selected from an 11-parameter equation, which was a function of discharge, base flow, season, turbidity, and time (trend), using a forward stepwise ordinary least squares regression approach. Model coefficients were fit using U.S. Geological Survey (USGS) LOADEST load estimation software. Models were fit both with and without turbidity explanatory variables for 12 water-quality constituents: total suspended solids, suspended sediment concentration, total nitrogen,... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Gwinnett County, State of Georgia, inlandWaters, mathematical modeling, streamflow, All tags... surface water quality, Fewer tags 04: National Land Cover Database land cover at 15 watersheds in Gwinnett County, Georgia from 2001 to 2019 This dataset contains the percentage of 14 National Land Cover Database (NLCD) land cover classes within the drainage areas of 15 watersheds in Gwinnett County, Georgia from 2001 to 2019. The dataset includes scenes from eight years, 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019, which were analyzed using a consistent approach so that they could be used to assess land cover changes. The NLCD dataset is derived from Landsat imagery and has a grid size of 30 meters. The fourteen land cover classes were categorized into eight land cover groups to simplify the presentation of watershed land cover characteristics (1. developed, low intensity; 2. developed, medium intensity; 3. developed, high intensity; 4. developed,... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Gwinnett County, State of Georgia, environment, imageryBaseMapsEarthCover, inlandWaters, All tags... land use and land cover, watershed, Fewer tags 10: Laboratory standard reference samples for the Gwinnett County, Georgia study for years 2014-2020 This dataset contains laboratory standard reference sample concentrations analyzed by RTI Laboratories, the analytical laboratory used by the Gwinnett County, Georgia study. These water-quality-control samples are part of the U.S. Geological Survey (USGS) Standard Reference Samples (SRS) Project inter-laboratory comparison study. RTI Laboratories sample concentrations along with the included inter-laboratory result statistics (for most probable value and standard error) can be used to assess the laboratory’s analytical precision and bias. Sample concentrations are reported for 12 constituents for 13 round-robin sample rounds, in which prepared samples are sent to participating laboratories twice per year, and were... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Gwinnett County, State of Georgia, inlandWaters, laboratory quality control, materials standards, All tags... surface water quality, Fewer tags 15: Streamwater load and yield estimates for 12 constituents in 13 watersheds in Gwinnett County, Georgia for water years 2003-2020 The dataset contains annual and model calibration period streamwater constituent load and yield estimates for 13 watersheds in Gwinnett County, Georgia for the water years 2003 to 2020. Loads and yields were estimated for 12 water-quality constituents: total suspended solids, suspended sediment concentration, total nitrogen, total nitrate plus nitrite, total phosphorus, dissolved phosphorus, total organic carbon, total calcium, total magnesium, total lead, total zinc, and total dissolved solids. The USGS LOADEST load estimation software, which employs a regression-model estimation approach, was used for constituents that had at least a minimal relation with the model explanatory variables, as indicated by concentration... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Gwinnett County, State of Georgia, inlandWaters, mathematical modeling, streamflow, All tags... surface water quality, watershed, Fewer tags Predictions of floodplain and streambank geomorphic change and flux of sediment and nutrients, and streambed characteristics, for stream reaches in the Chesapeake Bay and Delaware River watersheds Input predictor variables and output predictions from statistical modeling of floodplains, streambanks, and streambeds for each NHDPlusV2 stream reach in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Random Forest statistical models using either 1) characteristics of upstream drainage area, or 2) characteristics of upstream drainage area (Wieczorek et al. 2018, https://doi.org/10.5066/f7765d7v) and reach geomorphometry (Hopkins et al. 2020, https://doi.org/10.5066/P9RQJPT1), were used to explain and predict spatial variation in measured floodplain and streambank flux of sediment, fine sediment, sediment-C, sediment-N, and sediment-P and rates of geomorphic change, and streambed sediment... Categories: Data; Tags: Chesapeake Bay, Delaware, District of Columbia, Ecology, Geochemistry, All tags... Geomorphology, Hydrology, Maryland, New Jersey, New York, Pennsylvania, Remote Sensing, Soil Sciences, USGS Science Data Catalog (SDC), Virginia, Water Quality, West Virginia, banks (hydrographic), channels, drainage basins, floodplains, sediment, sediment deposition, sediment erosion, sediment geochemistry, sediment sinks, sediment sources, Fewer tags Digital Elevation Model of the Difficult Run watershed in Fairfax County, Virginia Derived from 2012 lidar LAS Points Aerial light detection and ranging (lidar) data were collected over the study site between April 12 – 14, 2012 as part of the Fauquier, Fairfax, Frederick (MD), and Jefferson County acquisition for FEMA Region 3 FY12 VA lidar (Dewberry 2012). Lidar points classified as ground and water were used to create a 3-m digital elevation model (DEM) clipped to the Difficult Run watershed with a 500-m buffer in ArcGIS 10.3.1 (ESRI, Redlands, CA). Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Difficult Run, Fairfax, Virginia, elevation, topography RUSLE2 Upland Erosion and Sediment Delivery to Stream Data Table for Difficult Run, Virginia 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... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Difficult Run, Fairfax County, South Fork Little Difficult Run, Virginia, erosion, All tags... river reaches, river systems, sediment transport, sedimentation, Fewer tags Geomorphological Features of North Carolina Three statewide datasets were compiled to provide information on the geomorphology for North Carolina. Geomorphology is commonly a missing element in many Earth-surface process models, thus it is essential to extract this missing information from available DEMs and use it to inform models and better understand the area of interest. For these threee datasets, information was extracted and post processed from lidar derived digital elevation models (DEMs) at 10 ft. and 30ft. resolution. Datasets are currently used for the project SPARROW Modeling for North Carolina Watersheds, but have the potential to be used in numerous applications. Slope area index (SAI), the ten most common geomorphons (i.e. geomorphologic feature),... Categories: Data; Tags: Geomorphology, USGS Science Data Catalog (SDC), Water Resources Predictions of floodplain and streambank geomorphic change and flux, streambed characteristics, and catchment inputs and exports of sediment and nutrients for stream reaches in the Chesapeake Bay and Delaware River watersheds Predictions from statistical modeling of floodplains, streambanks, and streambeds in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Random Forest statistical models using either 1) characteristics of upstream drainage area, or 2) characteristics of upstream drainage area (Wieczorek et al. 2018, https://doi.org/10.5066/f7765d7v) and reach geomorphometry (Hopkins et al. 2020, https://doi.org/10.5066/P9RQJPT1), were used to explain and predict spatial variation in measured floodplain and streambank flux of sediment, fine sediment, sediment-C, sediment-N, and sediment-P and rates of geomorphic change, and streambed sediment characteristics (d50, cover by fine sediment, cover by fine and sand... Categories: Data; Tags: Chesapeake Bay, Delaware, District of Columbia, Maryland, New Jersey, All tags... New York, Pennsylvania, Virginia, West Virginia, banks (hydrographic), channels, drainage basins, floodplains, sediment, sediment deposition, sediment erosion, sediment geochemistry, sediment sinks, sediment sources, Fewer tags 09: Streamwater quality assurance sample results for 19 water-quality constituents in 15 watersheds in Gwinnett County, Georgia for years 2000-2020 This dataset contains quality assurance sample concentrations for 19 constituents for the 15 monitored watersheds in Gwinnett County, Georgia, from 2000 to 2020. Samples include 431 replicate pairs and 335 field blanks. Replicate sampling allows for comparison of water quality to assess the combined variability in sample representativeness and laboratory precision and can also be used to identify possible sample contamination. Field blanks, samples of deionized “blank” water collected using the same sampling equipment and similar methodology as routine samples, were used to identify any possible contamination from field collection equipment and methodology. Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Gwinnett County, State of Georgia, inlandWaters, surface water quality, water quality, All tags... water quality assurance, Fewer tags Water quality data for urban (centralized versus distributed stormwater management) and forested reference watersheds in Clarksburg, MD (2004-2016) Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Clarksburg, Land Change Science, Land Use Change, Maryland, Montgomery County, All tags... USGS Science Data Catalog (SDC), datasets, nitrogen, phosphorus, stormwater, surface water quality, suspended material (water), urban, water quality, Fewer tags 07: Population density in 15 watersheds in Gwinnett County, Georgia from 2000 to 2020 This dataset contains population densities of 15 study watersheds in Gwinnett County, Georgia from 2000 to 2020. Population densities were determined for 2000, 2010, and 2020 from the decadal U.S. Census and for 2012 and 2017 from the American Community Survey 5-year estimates of 2010-14 and 2015¬-19 block group data, respectively. Population density within each watershed was determined by clipping the census block group data by the watershed boundaries and area-weighting the block group population density data within each watershed. Census block group data is the smallest geographic unit for which the census provides data. Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Gwinnett County, State of Georgia, population (human), society, watershed 14: LOADEST estimation dataset used to estimate streamwater loads for 12 constituents in 13 watersheds in Gwinnett County, Georgia for water years 2003-2020 This dataset contains the estimation data that was used in combination with the regression models to estimate streamwater constituent loads for 12 water-quality constituents for 13 watersheds in Gwinnett County, Georgia for the water years 2003 to 2020. Load were estimated using the U.S. Geological Survey (USGS) LOADEST load estimation software. Variables in the estimation dataset include a storm condition indicator variable, streamflow, streamflow during base-flow conditions, base flow, turbidity, and turbidity during stormflow conditions. Variants of the streamflow variable were used depending on whether the regression models were fit with turbidity explanatory variables. The time-step of the estimation datasets... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Gwinnett County, State of Georgia, inlandWaters, mathematical modeling, streamflow, All tags... surface water quality, Fewer tags 1 2 »