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These data are chemical analyses of discrete samples of groundwater, stream base flow, and springs collected to support a U.S. Geological Survey study to estimate the timing and source of recharge to the basalt groundwater system in the Umatilla River basin, Oregon. Categories of data include: (1) site information (2) field measurements, (3) tracers of groundwater age and source, and (4) dissolved noble gases. These data were collected during August 26, 2014 – September 13, 2022. Data are in .csv file format.
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Optimal hydrograph separation (OHS) is a two-component, hydrograph separation method that uses a two-parameter, recursive digital filter (RDF) constrained via chemical mass balance to estimate the base flow contribution to a stream or river (Rimmer and Hartman, 2014; Raffensperger et al., 2017). A recursive digital filter distinguishes between high-frequency and low-frequency discharge data within a hydrograph, where high-frequency data corresponds to quick flow or storms and low-frequency data corresponds to base flow. The two parameters within the RDF are alpha and beta, both are unitless. Alpha is defined as the recession constant and typically found through recession analysis. For the purposes of this data release...
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This dataset, VegDischarge v1, represents a significant contribution to the understanding of hydrological dynamics across Africa from 2000 to 2021. It encompasses high-resolution (1km x 1km) monthly raster data of deep drainage, surface runoff, and total runoff, derived from the VegET (VegetationEvapoTranspiration) hydrological model (Senay et al., 2023). Additionally, routed discharge data (Mizukami et al., 2021) for over 63,000 river segments is provided, employing different routing algorithms (DW, KW, KWT, MC, and IRF) to demonstrate variability in river discharge patterns. This comprehensive dataset is stored in NetCDF and Shapefile formats, offering valuable insights for policymakers, stakeholders, and researchers...
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Data from 391 boreholes (including coreholes) that penetrated buried pre-Cretaceous basement rocks that lie beneath Atlantic Coastal Plain sedimentary deposits in Georgia and South Carolina were compiled from non-proprietary, mostly published sources in order to support subsurface geologic mapping, geologic interpretation of geophysical data (aeromagnetic, gravity, seismic), topical studies as in geochronology, and applications ranging from mineral, energy, and water resources to earthquake hazards in the Charleston seismic zone. Most of the entries are based on previous literature. In a few cases where noted, drill cores or cuttings were examined for basic geologic observations. Boreholes into bedrock beneath the...


    map background search result map search result map Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version Borehole data for pre-Cretaceous basement rocks beneath the Atlantic Coastal Plain, Georgia and South Carolina (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Hydrologic gridded runoff and routed discharge data for Africa from 2000-2021 (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Borehole data for pre-Cretaceous basement rocks beneath the Atlantic Coastal Plain, Georgia and South Carolina Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version Hydrologic gridded runoff and routed discharge data for Africa from 2000-2021