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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
Alterations to stream hydrology, which include changes in stream geomorphology, are primary impacts of anthropogenic disruption. In North Carolina, hydrological alterations lead to environmental impacts through degraded ecosystems and water quality. In collaboration with the North Carolina Department of Environmental Quality, Division of Mitigation Services (DMS), the USGS South Atlantic Water Science Center datasets are proxy measurements of the extent of altered hydrology in riverine systems across the State of North Carolina. The datasets consist of an inventory and characterization of small scale (mostly agricultural) ponds and artificial drainages, which are both significant hydrologic modifications in the...
Reactive nitrogen is transported from the atmosphere to the landscape as wet and dry deposition that contributes to annual nitrogen loads to the Chesapeake Bay. Estimates of atmospheric inorganic nitrogen deposition to the Chesapeake Bay watershed during 1950 to 2050 are presented, and are based on field measurements, model simulations, statistical relations, and surrogate constituents used for estimates. Wet atmospheric nitrogen deposition has generally been quantified from weekly precipitation sample collections, whereas dry atmospheric nitrogen deposition has been simulated by a model at an hourly time step.
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9IGSRCV. Artificial drainage has major ecosystem impacts through the development of extensive ditch networks that reduce storage and induce large-scale vegetation changes. This has been a widespread practice of water table management for agriculture in Eastern North Carolina. However, these features are challenging to identify because the structure has been determined by non-natural factors. A dataset of open ditches was processed by calculating terrain (also, positive) openness – a value based on a line-of-sight approach to measure the surrounding eight zenith angles as viewed above the landscape surface. The...
Slope-Area Index (SAI) is used to predict erosion along a stream channel. It is a function of channel slope, drainage area upstream raised to the exponent based on flood frequency of 2-year floods. The 0.60 coefficient was used for all the physiographic provinces other than Small Urban basins in the Piedmont
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),...
The North Carolina Geographic Data Community is a group of geographic practitioners in the state of North Carolina that create and provide to the public geographic data set related to North Carolina in the public domain.
This USGS data release contains 1-kilometer resolution source-layer rasters used to predict redox conditions and contaminant concentrations in groundwater in the Fox-Wolf-Peshtigo watershed in Wisconsin and Michigan using random forest classification. The model output layers are 1-kilometer resolution rasters of the predicted probability of elevated concentrations of nitrate, iron, and arsenic. This data release supports the following publication: Tesoriero, A.J., Gronberg, J.M., Juckem, P.F., Miller, M.P., and Austin, B.P., 2017, Predicting redox-sensitive contaminant concentrations in groundwater using random forest classification: Water Resources Research, v. 53, https://doi.org/10.1002/2016WR020197.
A raster of the ten most common geomorphic landscape forms in North Carolina. Common geomorphic forms were identified using light detection and ranging (lidar) derived digital elevation models (DEM) with a resolution of 30 ft. (~10m). Common forms were created using r.geomorphon, a feature in GRASS GIS (Stepinski et al., 2011; Jasiewicz et al., 2013). Geomorphon requires a user input search radius and flatness threshold. A search radius of 60 cells (1800 ft.) was used for the entire state and two different flatness thresholds values of 1 degree for portions of the state in the Blue Ridge/Piedmont ecoregion and 0.0001 degree for portions of the state in the Coastal Plain ecoregion. Stepinski, T., Jasiewicz, J.,...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: North Carolina,
geomorphology,
geomorphon,
terrain analysis
This data release comprises four datasets that represent Phosphorus concentration in the A and C horizon of soils within the conterminous United States. The source dataset is a slight modification of the data published in the report "Geochemical and mineralogical data for soils of the conterminous United States", http://pubs.usgs.gov/ds/801/. Data were interpolated for use in models associated with the National Water Quality Assessment program of the USGS. Two datasets are of Phosphorus in soil A horizon and C horizon, interpolated using Inverse Distance Weight (IDW) algorithm. Two datasets are of Phosphorus in soil A horizon and C horizon, interpolated using IDW, and then aggregated to Geologic Mapping Units (GMUs).
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9IGSRCV. Alterations to stream hydrology, which includes changes in stream geomorphology, are primary impacts of anthropogenic disruption. In North Carolina, hydrological alterations lead to environmental impacts through degraded ecosystems and water quality. In collaboration with the North Carolina Department of Environmental Quality, Division of Mitigation Services (DMS), the USGS South Atlantic Water Science Center datasets are proxy measurements of the extent of altered hydrology in riverine systems across the State. The datasets consist of an inventory and characterization of small scale, mostly agricultural...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ecology,
Geography,
Water Resources
This U.S. Geological Survey data release contains datasets that combine past data with future projections of nitrogen sources and nitrogen export to the Chesapeake Bay watershed for the years 1950-2050. To help understand the effect of human and environmental changes over this time period, data for nitrogen sources from wastewater, agricultural fertilizer and manure, and atmospheric deposition are combined with datasets of population and land use. These datasets were used in conjunction with a previously calibrated SPAtially Referenced Regression On Watershed attributes (SPARROW) modeling tool to estimate the mean annual loads of total nitrogen to the Chesapeake Bay and nontidal stream reaches in the watershed at...
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
This data release contains a boosted regression tree (BRT) model (written in the R programming language), and the input and output data from that model that were used to relate base flow nitrate concentrations in the Chesapeake Bay watershed to catchment characteristics. The input data consists of two types of information: 1) surface water nitrate concentrations collected by the USGS and partnering agencies in the Chesapeake Bay watershed between 1970 and 2013 and 2) potential predictor variables that included nitrogen sources, catchment characteristics, soil and groundwater chemistry, soil drainage and composition, and aquifer geology. The results from the BRT model were used to identify ten significant predictors...
Categories: Data;
Tags: Chesapeake Bay Basin,
USGS Science Data Catalog (SDC),
nutrient content (water),
surface water quality
Artificial drainage has major ecosystem impacts through the development of extensive ditch networks that reduce storage and induce large-scale vegetation changes. This has been a widespread practice of water table management for agriculture in Eastern North Carolina. However, these features are challenging to identify, and (because of their structure) have been determined by non-natural factors. A dataset of open ditches was processed by calculating terrain openness (also called positive openness): a value based on a line-of-sight approach to measure the surrounding eight zenith angles as viewed above the landscape surface. The result from calculating openness with high resolution digital elevation models (DEMs...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Agriculture,
Artificial drainage,
Beaufort,
Bertie,
Bladen,
Rasters of positive openness for the 53 hydrologic unit code (HUC) 8 watersheds in the state of North Carolina. Positive openness uses a line-of-sight approach to measure the surrounding eight zenith angles viewed above the landscape surface out to a specified distance. The central cells gets and average of the eight angles. An angle of 90 degrees would indicate a flat surface, while angles less than 90 degrees indicate a concave surface. Positive openness was calculated with the Relief Visualization Toolbox (https://iaps.zrc-sazu.si/en/rvt#v, Kokalji et al., 2011; Zakšek et al., 2011) using light detection and ranging (lidar) derived digital elevation models (DEM) with a resolution of 10 ft. (~3m). A length scale...
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9IGSRCV. Artificial drainage has major ecosystem impacts through the development of extensive ditch networks that reduce storage and induce large-scale vegetation changes. This has been a widespread practice of water table management for agriculture in Eastern North Carolina. However, these features are challenging to identify because the structure has been determined by non-natural factors. A dataset of open ditches was processed by calculating terrain (also, positive) openness – a value based on a line-of-sight approach to measure the surrounding eight zenith angles as viewed above the landscape surface. The...
Artificial drainage has major ecosystem impacts through the development of extensive ditch networks that reduce storage and induce large-scale vegetation changes. This has been a widespread practice of water table management for agriculture in Eastern North Carolina. However, these features are challenging to identify, and because of their structure, have been determined by non-natural factors. A dataset of open ditches was processed by calculating terrain openness (also called positive openness): a value based a line-of-sight approach to measure the surrounding eight zenith angles as viewed above the landscape surface. The result from calculating openness with high resolution digital elevation models (DEMs, or...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Agriculture,
Artificial drainage,
Beaufort,
Bertie,
Bladen,
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