Data

This dataset is the product of a geospatial interpolation using groundwater-level data obtained from a U.S. Geological Survey (USGS) synoptic survey of 129 groundwater wells in Fauquier County, VA from October 29 through November 2, 2018 and selected points from the National Hydrography Dataset (NHD). Methodology is detailed in USGS SIR 2022-5014 "Groundwater-level contour map of Fauquier County,

This data release is a compilation of annual Global Navigation Satellite System (GNSS) surveys of a network of 26 vertical control points (benchmarks) in the Hampton Roads region of southeastern Virginia. Surveys are conducted annually during the winter and are structured to collect a minimum of 24-hours of position data when possible, at an interval of 30-seconds or less at each benchmark locatio

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2018. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regres

The Great Dismal Swamp (the swamp) is a forested peatland in southeastern Virginia and northeastern North Carolina. Since early colonial times, timber harvesting and drainage through a network of ditches constructed to facilitate the harvesting have altered these ecosystems. The U.S. Fish and Wildlife Service has managed the swamp as the Great Dismal Swamp National Wildlife Refuge since 1974 to re

The U.S. Geological Survey (USGS), prepared geographic information systems (GIS) layers for use in the West Virginia StreamStats application. The Digital Elevation Model and associated data were hydrologically conditioned, which is the process of burning in single line streams at the 1:24,000 scale into a digital elevation model to produce flow direction and flow accumulation grids. This data incl

Tables are presented listing parameters used in logistic regression equations describing drought streamflow probabilities in the Northeastern United States. Streamflow daily data, streamflow monthly mean data, maximum likelihood logistic regression (MLLR) equation explanatory parameters, equation goodness of fit parameters, and Receiver Operating Characteristic (ROC) AUC values identifying the uti

De facto wastewater reuse from Waste Water Treatment Facilities (WWTF) has the potential to be a significant contributor of Endocrine Disrupting Chemicals. An ArcGIS model of WWTFs, NHDPlus Version 2 stream networks (USGS and EPA 2012), and gage stations across the Shenandoah River watershed was created to calculate accumulated wastewater ratio. Virginia Pollutant Discharge Elimination System (VPD

The U.S. Geological Survey (USGS) has calculated over 25 different basin characteristics as part of preparing the West Virginia StreamStats 2021 application. These datasets are raster representations of various environmental, geological, and land use attributes within the West Virginia StreamStats 2021 study area and will be served in the West Virginia StreamStats 2021 application to describe deli

The core equations of the SPARROW model (Schwarz and others, 2006) were implemented in differential form using the R programming language (R Core Team, 2017), as the basis of a tool for empirically relating a regional pattern of changes in constituent flux, over a multi-year period, to spatially referenced changes in explanatory variables over the same period. A pilot implementation was developed

Tables are presented listing parameters and fit statistics for 25,453 maximum likelihood logistic regression (MLLR) models describing hydrological drought probabilities at 324 gaged locations on rivers and streams in the Delaware River Basin (DRB). Data from previous months are used to estimate chance of hydrological drought during future summer months. Models containing 1 explanatory variable use

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2018. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted

Field parameters and chemical-analysis results of stream water, streambed sediment, and soil data collected during 2019 at Fort Belvoir, Virginia are presented.