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Folders: ROOT > ScienceBase Catalog > Sustaining Environmental Capital Initiative > Difficult Run Floodplain Sediment and Nutrient Retention Ecosystem Service Datasets, Fairfax County, Virginia ( Show all descendants )
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ROOT _ScienceBase Catalog __Sustaining Environmental Capital Initiative ___Difficult Run Floodplain Sediment and Nutrient Retention Ecosystem Service Datasets, Fairfax County, Virginia Filters
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A cvs file containing field datasets used to develop regression models to predict sediment and nutrient retention services for stream within the Difficult Run watershed. Field measurements of floodplain deposition and bank erosion were provided in previously published datasets from Hupp et al. (2013) and Gellis et al. (2017). At each field site 3-5 nearby cross-sections from the Toolbox where used to represent the floodplain and streambank sampling locations at the field sites. Metrics derived from the Toolbox are provided in this data table.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Difficult Run,
Fairfax County,
Flood plains,
Fluvial morphology,
Virginia,
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
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,
Hydrologically conditioned digital elevation model (DEM) generated from lidar data clipped to the Difficult Run watershed with a 500-m buffer in ArcGIS 10.3.1 (ESRI, Redlands, CA). The DEM was hydrologically corrected by breaching through pits with no downslope neighboring cells to force surface flow to continuously move downslope using Whitebox Geospatial Analysis Tools (Lindsay and Dhun 2015, Lindsay 2016). Pits that were not properly breached were manually adjusted using elevation information from the DEM and aerial imagery to locate culverts under roadways.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Difficult Run,
Fairfax,
Virginia,
elevation,
topography
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