Hydrograph-separation results for 225 streams in the Chesapeake Bay watershed derived by using PART, HYSEP (Fixed, Local minimum, Slide), BFI, and a Recursive Digital Filter with streamflow data ranging from 1913 through 2016
April 20, 2017
This U.S. Geological Survey (USGS) data release contains daily-mean streamflow and estimated-daily base flow for 225 stream gages 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 conditions. Base flow is generally not measured directly, but is estimated from observations of streamflow and/or stream water chemistry. Base flow was estimated using PART (Rutledge, 1998), HYSEP (Fixed, Local minimum, and Slide; Sloto and Crouse, 1996), BFI (Wahl and Wahl, 1988 and Wahl and Wahl, 1995), and a Recursive Digital Filter (Eckhardt, 2005 and Collishonn and Fan, 2013) in selected watersheds throughout the Chesapeake Bay watershed. The references to the above citations are in the Supplemental Information section of this metadata record.
These data support the following publication:
Raffensperger, J.P., Baker, A.C., Blomquist, J.D., and Hopple, J.A., 2017, Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds: U.S. Geological Survey Scientific Investigations Report 2017-5034, 51 p., https://doi.org/10.3133/sir20175034.
These data support the following publication:
Raffensperger, J.P., Baker, A.C., Blomquist, J.D., and Hopple, J.A., 2017, Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds: U.S. Geological Survey Scientific Investigations Report 2017-5034, 51 p., https://doi.org/10.3133/sir20175034.
Citation Information
Publication Year | 2017 |
---|---|
Title | Hydrograph-separation results for 225 streams in the Chesapeake Bay watershed derived by using PART, HYSEP (Fixed, Local minimum, Slide), BFI, and a Recursive Digital Filter with streamflow data ranging from 1913 through 2016 |
DOI | 10.5066/F757194G |
Authors | Jeff Raffensperger, Anna C Baker, Joel D Blomquist, Jessica A Hopple |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | New Jersey Water Science Center |
Rights | This work is marked with CC0 1.0 Universal |
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Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds
Quantitative estimates of base flow are necessary to address questions concerning the vulnerability and response of the Nation’s water supply to natural and human-induced change in environmental conditions. An objective of the U.S. Geological Survey National Water-Quality Assessment Project is to determine how hydrologic systems are affected by watershed characteristics, including land...
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Jeff P. Raffensperger, Anna C. Baker, Joel D. Blomquist, Jessica A. Hopple
Related
Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds
Quantitative estimates of base flow are necessary to address questions concerning the vulnerability and response of the Nation’s water supply to natural and human-induced change in environmental conditions. An objective of the U.S. Geological Survey National Water-Quality Assessment Project is to determine how hydrologic systems are affected by watershed characteristics, including land...
Authors
Jeff P. Raffensperger, Anna C. Baker, Joel D. Blomquist, Jessica A. Hopple