Skip to main content
U.S. flag

An official website of the United States government


We provide current and historical surface-water, groundwater, water quality, water use, and ecological data in various formats (map, graphical, tabular).

Filter Total Items: 99

Locations of Dams and Basins in South Carolina, derived from U.S. Army Corps Engineers National Inventory of Dams

Reliable peak-streamflow information is critical for proper design of stream-related infrastructure, such as bridges, and StreamStats is a Web-based Geographic Information Systems (GIS) application that provides a user-friendly interface to estimate peak flows ( StreamStats develops these peak-flow estimates using basin characteristics for the entire contributing

Concentration of chemical constituents in lake sediments from selected coring locations on Lake Lanier, Georgia, May 2018

The data herein were collected in support of a larger study in Gwinnett County, Georgia, on the potential impacts of on-site waste water treatment (septic systems) on Lake Lanier water quality. Until recently, a missing component in this assessment was the inclusion of historical sediment and associated nutrient accumulation data from the lake to place results in a broader context. To this end, th

Water table depth, soil moisture, and meteorological data from Panola Mountain Research Watershed, 2017 - 2020

These data represent time-series of water table depth from nine monitoring wells, soil moisture from three depths at a single monitoring location, and meteorological data from a weather station at the Panola Mountain Research Watershed (PMRW) in Rockdale County Georgia. Water-level data were logged at a 5 minute interval. In total, the data span from April 2017 to April 2020 but some wells did not

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, which cover the conterminous United States, will be served in the National StreamStats Fire-Hydrology application to des

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. SELDM is a statistically-based empirical model pr

Pre-computed mean maximum 30-minute 2-year precipitation rasters from the 43 available conterminous states, for use in 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 30-minute precipitation occurring on average once in 2 years from NOAA Atlas 14. These values will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds ( https://streamstats.usgs.go

Precipitation, air temperature, streamflow, and water table depths from selected wells at the Panola Mountain Research Watershed, 2001 - 2003

This dataset contains hourly average groundwater level time-series for 19 monitoring wells at the Panola Mountain Research Watershed (PMRW) from January 2001 to October 2002. The data was used in a hydrologic modeling study to test a model formulation that allowed for bi-direction fluxes between groundwater and surface water in a bucket type hydrologic model. Some wells had missing data so record

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. This data r

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. Samples were analyzed at various U.S. Geological Survey laboratories: the National Water Quality Laborator

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). Loads were estimated for 15 constituents: biochemical oxy

Pesticide and Pharmaceutical Exposure Data for Select Streams within Great Smoky Mountains National Park, 2019

This dataset included the concentration results (in nanograms per liter) for 328 pharmaceutical and pesticide compounds analyzed within the Great Smoky Mountain National Park, Tennessee and North Carolina, in 2019. Two samples were collected (July and September) at 15 locations within the park, and one location at the park boundary. Samples were analyzed at the National Water Quality Laboratory (N