A Fully Distributed Implementation of Mean Annual StreamFlow Regional Regression Equations1 |
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Authors: | Kristine L Verdin Bruce Worstell |
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Institution: | 1. Principal Scientist, Arctic Slope Regional Corporation Research & Technology Solutions, Contractor to U.S. Geological Survey (USGS) Center for Earth Resources Observation and Science Sioux Falls, South Dakota 57198;2. Senior Scientist, SGT, Technical Support Services Contractor for U.S. Geological Survey (USGS) Center for Earth Resources Observation and Science Sioux Falls, South Dakota 57198. |
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Abstract: | Abstract: Estimates of mean annual streamflow are needed for a variety of hydrologic assessments. Away from gage locations, regional regression equations that are a function of upstream area, precipitation, and temperature are commonly used. Geographic information systems technology has facilitated their use for projects, but traditional approaches using the polygon overlay operator have been too inefficient for national scale applications. As an alternative, the Elevation Derivatives for National Applications (EDNA) database was used as a framework for a fully distributed implementation of mean annual streamflow regional regression equations. The raster “flow accumulation” operator was used to efficiently achieve spatially continuous parameterization of the equations for every 30 m grid cell of the conterminous United States (U.S.). Results were confirmed by comparing with measured flows at stations of the Hydro‐Climatic Data Network, and their applications value demonstrated in the development of a national geospatial hydropower assessment. Interactive tools at the EDNA website make possible the fast and efficient query of mean annual streamflow for any location in the conterminous U.S., providing a valuable complement to other national initiatives (StreamStats and the National Hydrography Dataset Plus). |
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Keywords: | mean annual streamflow regression models digital elevation models geospatial analysis web applications |
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