South Atlantic Water Science Center (SAWSC)
Data and Tools
Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021)
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.
First posted - January 21, 2021 (available from author)
Revised - October 15, 2021 (version 2.0)
Lidar-derived digital elevation models in Clarksburg, MD representing the years 2002, 2008, 2013, and 2018
This is a collection of 3 ft resolution digital elevation model derived from light detection and ranging (lidar). Lidar was collected in 2002, 2008, 2013, and 2018. Coverage includes a portion of Clarksburg, Maryland, focused around the Clarksburg Special Protection Area (CSPA).
Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff
In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM; Granato, 2013). The model is optimized for roadway projects but in theory can be applied to a broad range of development types.
Pre-computed mean January maximum and minimum temperature rasters from PRISM 1981-2010 from the conterminous United States, for the StreamStats Fire-Hydrology application 2021
The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum and minimum January temperature from PRISM 1981-2010 4km data (resampled to 30m resolution). These values will be served in the National StreamStats Fire-Hydrology application (https...
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
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.
SPARROW Model Simulated Nutrient and Suspended Sediment Loads in Streams when All Forests are Urbanized Across the Southeastern United States
The U.S. Geological Survey's SPAtially Referenced Regression On Watershed attributes (SPARROW) for the Southeastern United States was used to simulate changes in total nitrogen, total phosphorus and suspended sediment load in streams under two scenarios: (1) where all forests are urbanized and (2) where all forests are urbanized and runoff is adjusted based on a non-forested landscape.
Coastal Salinity Index
The location of the freshwater–saltwater interface along the coast is an important factor in the ecological and socioeconomic dynamics of coastal communities. Salinity is a critical response variable that integrates hydrologic and coastal dynamics including sea level, tides, winds, precipitation, streamflow, and tropical storms.
Soil-Water-Balance (SWB) model data sets for the Greater Wake County area, North Carolina, 1990 - 2070
A Soil-Water-Balance (SWB) model was developed to estimate annual net infiltration below the root-zone for the Greater Wake County Area, North Carolina for the period 1981 through 2019 and project future estimates from 2020 through 2070. The model was developed as part of a study to assess groundwater availability in the fractured-rock aquifers underlying Wake County.
National Water Dashboard (NWD)
The National Water Dashboard (NWD) is a mobile, interactive tool that provides real-time information on water levels, weather, and flood forecasts - all in one place on a computer, smartphone, or other mobile device. The NWD presents real-time stream, lake and reservoir, precipitation, and groundwater data from more than 13,500 USGS observation stations across the country.
Target-Chemical Concentration Results of Mixed-Organic/Inorganic Chemical Exposures in Puerto Rico Tapwater, 2017 to 2018
This dataset provides the water-quality results for organic and inorganic concentrations analyzed from samples collected at domestic and commercial tapwater faucets and one spring, sourced in Puerto Rico. Samples were collected in October, 2017 and August and December, 2018 from 19 locations.
Associated data for the Triangle Area Water Supply Monitoring Project, North Carolina, October 2017 - September 2019
These datasets contain information used to compile the report (USGS OFR 2020-xxxx). It contains water-quality data, analytical results of field blanks, and analytical results for environmental and replicate sample sets for surface-water samples collected during water years 2018 and 2019 for the Triangle Area Water Supply Monitoring Program (TAWSMP).
Streamwater constituent load data, models, and estimates for 15 watersheds in DeKalb County, Georgia, 2012-2016
This data release contains eight datasets and metadata related to streamwater constituent load estimation and E. coli bacteria concentration predictions at 15 watersheds in DeKalb County, Georgia for 2012 to 2016 (the water-quality model calibration data goes through 9/22/2017 and the water-quality assurance samples goes through 11/7/2017).