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
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...
Database of Groundwater Levels and Hydrograph Descriptions for the Nevada Test Site Area, Nye County, Nevada
This data release consists of two files, a Microsoft® Access database and Microsoft® Excel workbook, that contain water-level data and other hydrologic information for wells in and near areas of underground nuclear testing at the Nevada Test Site (currently called the Nevada National Security Site). The database and workbook are updated annually. Previous versions of the two files (2010-2016; formerly referred to as appendix A) are available at https://pubs.usgs.gov/ds/533/. Versions beginning in 2017, are available through this data release under the "Child Items" section. The current version supersedes all previous versions. This data release supports U.S. Geological Survey Data Series 533 (https://pubs.usgs.gov/ds/533/)....
A bathymetric survey of Dierks Lake, Arkansas, was conducted in late June - early July 2018 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Surveys using methodologies for sonar surveys similar to those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Data from the bathymetric survey were combined with data from an aerial Light Detection And Ranging (LiDAR) survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017) to create a digital elevation model (DEM) of the extent of the flood pool of the lake and compute volume (storage capacity) of the lake at 1-foot increments in water surface elevation from 444-557 feet (ft)...
Environmental DNA quantitative PCR results for water samples collected in 2018 at USGS streamgages downstream of Columbia River Basin reservoirs that are considered to have moderate to high suitability for invasive dreissenid mussels. Water samples were tested for DNA of dreissenid mussels, kokanee salmon, and yellow perch. This is version 1.1 of this data release. The Kokanee_Perch_eDNA data and metadata files have been revised to correct for improper attribution of 16 samples. For access to previous versions, please contact the Point of Contact identified on this page. First Posted March 29, 2019 Revised July 19, 2019, ver 1.1