usgs regression equations
The method is described in the documentation provided below. The following documentation was taken from: U.S. Geological Survey Water-Resources Investigations Report 94-4002: Nationwide summary of U.S. Geological Survey regional regression equations for estimating magnitude and frequency of floods for ungaged sites, 1993 TENNESSEE Regional-of-Influence (ROI) is a method of developing custom regression equations for estimating streamflow statistics for individual ungaged sites. regression equations. Standard errors of prediction and equivalent years of record for full regression equations and drainage-area-only regression equations, for six hydrologic regions Step 2 - Use the USGS regression equations from Chapter 7 Appendices . Full-regression equations for estimating peak discharges for rural, unregulated streams in each of six hydrologic regions of New York, excluding Long Island. The USGS Regression method is the most commonly used post-fire runoff estimation method by BAER team members (Foltz and others 2008).The Department of Interior U.S. Geological Survey (USGS) has developed a method to estimate magnitude and frequency of floods of both gaged and ungaged streams. The regression equations developed from this study will be incorporated into the U.S. Geological Survey (USGS) StreamStats program. Regression equations for arid regions of the United States are presented in the 1994 United States Geological Survey (USGS) Open-File Report 93-419 by Blakemore E. Thomas et al titled "Methods for Estimating Magnitude and Frequency of Floods in the Southwestern United States." This 1 step is needed when using the seven-parameter equations, only. B, C, or D to estimate the peak discharge from the equivalent rural drainage basin (RQ T). The StreamStats program is a Web-based application that provides streamflow statistics and basin characteristics for USGS streamgages and ungaged sites of interest. Step 3 -Determine the input variables SL, RI2, ST, and IA using the guidelines in Table . Asquith, W.H., and Roussel, M.C., 2009, Regression equations for estimation of annual peak-streamflow frequency for undeveloped watersheds in Texas using an L-moment-based, PRESS-minimized, residual-adjusted approach: U.S. Geological Survey Scientific Investigations Report 2009–5087, 48 p. Regression equations for predicting low-flow, base-flow, and mean-flow characteristics for Pennsylvania streams were developed from data collected at 293 continuous- and partial-record streamflow-gaging stations with flow unaffected by upstream regulation, diversion, or mining. 2. Annual peak-flow frequency data from 231 U.S. Geological Survey streamflow-gaging stations in North Dakota and parts of Montana, South Dakota, and Minnesota, with 10 or more years of unregulated peak-flow record, were used to develop regional regression equations for exceedance probabilities of 0.5, 0.20, 0.10, 0.04, 0.02, 0.01, and 0.002 using generalized least-squares techniques. 1. regression equations can be used for developed areas as presented in Appendix E. Regression equations for specific urban areas in western Oregon are the subjects of the following reports: Laenen, Antonius, USGS Water Resources Investigation -File Report Open 80-689, Storm Runoff StreamStats is the interactive Web-based map tool created by the U.S. Geological Survey to allow the user to choose a streamgage and obtain published statistics or choose ungaged locations where the program automatically applies the regional regression equations and … USGS Regression methods .
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