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This U.S. Geological Survey (USGS) data release contains daily-mean streamflow and estimated-daily base flow for 225 streamgages in the Chesapeake Bay watershed ranging from 1913 to 2016 (beginning and end dates may vary). There is a table containing hydrograph-separation results by six methods for 225 sites (Hydrograph_separation_results_for_225_streams_in_the_Chesapeake_Bay_watershed) and a summary table with hydrograph-separation results for each site and method (Hydrograph_separation_summary_for_225_streams_in_the_Chesapeake_Bay_watershed). Quantitative estimates of base flow are necessary to address questions of the vulnerability and response of aquatic ecosystems to natural and human-induced change in environmental...
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This data release provides source code and an R workspace with functions comprising a non-linear baseflow separation model, calibrated values of parameters and estimates of the baseflow component of daily streamflow at selected streamflow gages. Parameter values were determined by calibration of the model. Estimates of the baseflow component include daily values and the total baseflow as a fraction of streamflow for the analysis period. The file 'run_bf_sep.zip' in the directory 'Nonlinear Baseflow Model Source Code, Functions, and Scripts" has a complete set of model functions, parameters for 13,208 USGS streamflow gages, and a script to run the model. Instructions and software requirements for running the model...
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Site-specific parameters for a non-linear baseflow separation model determined by automated calibration to maximize baseflow. The file "bf_param_usgs.csv" has parameter values for 13,208 sites where USGS operated a streamflow gage and calculated daily streamflow for at least 300 days from water year 1981 to 2020. The file "bf_param_wa_ecy.csv" has parameter values for 41 sites where the Washington Department of Ecology operated a streamflow gage from water year 1991 to 2019. The parameters may need to be re-calibrated at a site for some applications.
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. As part of the U.S. Geological Survey’s Groundwater Resources Program study of the Appalachian Plateaus aquifers, estimates of annual water-budget components were determined at 849 continuous-record streamflow gaging stations from Mississippi to New York. Base flow, which can serve as a proxy for annual recharge, streamflow, and runoff were estimated from computer programs—PART (Rutledge, 1993), HYSEP (Sloto and Crouse, 1996), and...
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Daily estimates of baseflow derived from a non-linear, baseflow separation model. The file "baseflow_western_washington.csv" has daily baseflow estimates for 268 sites in western Washington for the period from water year 1981 to 2020 used for estimating groundwater recharge in lowland areas. The file "baseflow_rsqa.csv" has daily baseflow estimates for 462 sites that were sampled as part of the US Geological Survey Regional Stream Qualtiy Assessment (RSQA). Values are only provided for days when water samples were collected. Missing values indicate gaps in the streamflow record.
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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 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...
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The U.S. Geological Survey’s Water Availability and Use Study Program (WAUSP) (https://water.usgs.gov/ogw/gwrp/activities/regional.html) supports quantitative assessments of groundwater availability in areas of critical importance. As part of a WAUSP study in the arid to semi-arid Northwest Volcanic Aquifer Study Area (NVASA), estimates of runoff and baseflow were determined for 312 streamflow-gaging stations from 1904 to 2015. Gages with complete water years (October to September) of continuous-streamflow record were used to partition streamflow into runoff and baseflow, which is that part of streamflow attributed to groundwater discharge. For each water year annual estimates of baseflow, runoff, and a base-flow...
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Simulated daily baseflow was summed from water year 1981 to 2020 and divided by observed streamflow at 13,208 sites where US Geological Survey operated a streamflow gage and calculated daily streamflow for at least 300 days. Days with negative flows (tidal systems) are not included.
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Source code, an R workspace with functions comprising a non-linear baseflow separation model, and a complete set of files to run the model in a compressed file including a script that will demonstrate how to run the model.
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This USGS Data Release represents the synthetic and real data from hydrologically diverse streams used to test the performance and limitations of the Two-tracer Ratio-based Mixing Model (TRaMM) which uses high-frequency measures of two tracers (A and B) and streamflow to separate total streamflow into water from slowflow and fastflow sources. The ratio between the concentrations of the two tracers is used to create a time-variable estimate of the concentration of each tracer in the fastflow end-member. Synthetic data from a groundwater dominated stream and an overland flow dominated stream were used to test the sensitivity of the model to various conditions and tracer concentrations. The sensitivity analysis provides...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. As part of the U.S. Geological Survey’s Groundwater Resources Program study of the Appalachian Plateaus aquifers, estimates of annual water-budget components were determined at 849 continuous-record streamflow gaging stations from Mississippi to New York. Base flow, which can serve as a proxy for annual recharge, streamflow, and runoff were estimated from computer programs—PART (Rutledge, 1993), HYSEP (Sloto and Crouse, 1996), and...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. As part of the U.S. Geological Survey’s Groundwater Resources Program study of the Appalachian Plateaus aquifers, estimates of annual water-budget components were determined at 849 continuous-record streamflow gaging stations from Mississippi to New York. Base flow, which can serve as a proxy for annual recharge, streamflow, and runoff were estimated from computer programs—PART (Rutledge, 1993), HYSEP (Sloto and Crouse, 1996), and...