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Filters Date Range Past year (1) Past month (1) Past week (0) Past day (0) Custom range... To   Search Contacts U.S. Geological Survey Jessica A Hopple U.S. Geological Survey - ScienceBase Water Resources Integrated Modeling & Prediction Division More... Tag Types Theme (3) Place (3) Harvest Set (3) USGS Scientific Topic Keyword (3) Tag Schemes USGS Thesaurus (3) None (2) Common geographic areas (2) Geographic Names Information System (GNIS) (1) ISO 19115 Topic Category (2) View Results as: JSON ATOM CSV

Monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015 This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015. A statistical machine learning technique - random forest modeling (Liaw and Wiener, 2018; R Core Team, 2020) - was applied to estimate natural flows using about 150 potential predictor variables (Miller and others, 2018). Calibration data used for the random forest model are available from (Foks and others, 2020). Each model was run twice, first using all potential predictor variables, which represents a "full" model run, and a second time using the top 20 predictors from the original run, which... Categories: Data; Tags: Delaware, Delaware River Basin, Hydrology, National Hydrography Dataset Plus Version 2.0, New Jersey, All tags... New York, Pennsylvania, USGS Science Data Catalog (SDC), anthropogenic modification, baseflow, environmental impacts, geochemistry, geoscientificInformation, groundwater, hydrology, inlandWaters, natural flows, random forest modeling, random forests, river reaches, rivers/streams, streamflow, surface water hydrology, water resources, Fewer tags Datasets and scripts used for estimating streamflow and base flow within the nontidal Chesapeake Bay riverine system, water years 2006-15 This U.S. Geological Survey (USGS) data release contains estimated daily streamflow and base flow for HUC12 in the nontidal areas of the Chesapeake Bay watershed, monthly average streamflow and base flow, flow statistics, MATLAB scripts, and a document that describes how to create similar datasets in other watersheds. Daily streamflow was estimated for all the nontidal parts of the Chesapeake Bay watershed with the program "Unit Flows in Networks of Channels" (UFINCH; Holtschlag, 2016), together with the observations of measured streamflow at gages at the downstream ends of major rivers. The estimated streamflow was aggregated at the HUC12 level and reformatted as an Optimal Hydrograph Separation (OHS) input file... Categories: Data; Tags: Chesapeake Bay watershed, Delaware, Maryland, Pennsylvania, USGS Science Data Catalog (SDC), All tags... Virginia, Washington, DC, Water Quality, West Virginia, base flow, baseflow, datasets, geospatial datasets, groundwater, hydrograph separation, stream-gage measurement, streamflow, surface water (non-marine), Fewer tags SPARROW model input datasets and predictions of total dissolved solids loads in streams of the Upper Colorado River Basin watershed This data release contains bootstrap values of mean-annual total dissolved solids (TDS) loads predicted by a SPARROW model for individual stream reaches in the Upper Colorado River Basin watershed in the predict.txt file. Also included are the input variables required to execute the model, including dissolved solids sources, landscape characteristics, and calibration data from water quality monitoring stations in the input.txt file. Further details on model construction and results are described in Miller et al. (2017, https://doi.org/10.3133/sir20175009). Categories: Data; Tags: Arizona, Colorado, New Mexico, USGS Science Data Catalog (SDC), Utah, All tags... Water Resources, Wyoming, biota, hydrology, mathematical modeling, streamflow, water quality, water resources, Fewer tags