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FLOOD07843
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Last modified
1/25/2010 7:12:56 PM
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Title
Nationwide Summary of US Geological Survey Regional Regression Equations for Estimating Magnitude and Frequency of Floods or Ungaged Ssites 1993
Date
1/1/1993
Prepared By
USGS
Floodplain - Doc Type
Educational/Technical/Reference Information
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<br />Extrapolation for the 500-Year Flood <br /> <br />Only recently has the USGS begun to publish at- <br />site estimates of the 500-year flood or to publish <br />regional regression equations for estimating the 500- <br />year flood at un gaged sites, Therefore, most of the <br />USGS statewide reports do not contain regression <br />equations or at-site estimates for the 500-year flood, A <br />procedure is given in the NFF program for extrapolat- <br />ing the regional regression equations in any State to the <br />500-year flood. The extrapolation procedure basically <br />consists of fitting a log-Pearson Type III curve to the 2- <br />to 100-year flood discharges given by NFF and extrap- <br />olating this curve to the 500-year flood discharge, The <br />procedure consists of the following steps for a given <br />watershed: <br /> <br />I. Determine the flood-peak discharges for selected <br />return periods from the appropriate regional <br />regression equations given in NFF. At least <br />three points are needed to define the skew coef- <br />ficient required in a subsequent step. Use of <br />additional points improves the definition of the <br />frequency curve that is defined by the regional <br />equations and helps to average out any minor <br />irregularities that may exist in the relations <br />among the regional equations. The NFF pro- <br />gram uses all available regional equations for <br />selected return periods to define the frequency <br />curve, <br /> <br />I <br /> <br />2, Fit a quadratic curve to the selected points on log- <br />probability paper using least squares regression <br />computations, The variables used in the regres- <br />sion computations are the logarithms of the <br />selected discharges and the standard normal <br />deviates associated with the corresponding <br />probabilities, The purpose of this quadratic <br />curve is to obtain a smooth curve through the <br />selected flood-peak discharges from step I <br />above. The quadratic curve is an approxima- <br />tion of the log-Pearson Type III curve that will <br />be computed. <br /> <br />I <br />I <br />I <br /> <br />3. Determine the skew coefficient of the log-Pearson <br />Type III frequency curve that passes through <br />the 2-, 10-, and 100-year floods defined by the <br />quadratic curve. The skew coefficient is <br />defined approximately by the formula (Inter- <br />agency Advisory Committee on Water Data, <br />1982) <br />G = -2,50 + 3,12 log (QlOoIQ10) flog (QloIQzj, <br /> <br />4. Replot (conceptually) the selected discharges and <br />return periods using a Pearson Type III proba- <br />bility scale defined such that a frequency curve <br />with the computed skew plots as a straight line, <br />This scale is defined by plotting probability <br />values p at positions x on the probability axis, <br />where x is defined by the standardized Pearson <br />Type III deviate (K values) for the given skew <br />and probability. A Wilson-Hilferty approxima- <br />tion (Kirby, 1972) is used to compute the K <br />value. <br /> <br />5. Fit a straight line by least-squares regression to the <br />points plotted in step 4, and extrapolate this <br />line to the 500- year flood-peak discharge. The <br />variables used in the least squares computation <br />are the logarithms of the selected discharges <br />and the Pearson Type III K values associated <br />with the corresponding probabilities. <br /> <br />Figure 2 is an example of a flood-frequency <br />curve computed by this procedure for the Fenholloway <br />River near Foley, Florida. The solid triangles (fig. 2) <br />are the regional flood-frequency values as estimated by <br />the equations given by Bridges (1982), which are <br />incorporated in the NFF program. The 500-year value <br />shown as a solid circle (fig. 2) (\ 2,800 cubic feet per <br />second) is estimated using the extrapolation procedure <br />described above. Note that the extrapolated 500-year <br />value is a reasonable extension (see dotted line) of the <br />regional frequency curve. <br />The solid triangle (fig. 2) (11,500 cubic feet per <br />second) for the 500-year value is the regional value as <br />obtained directly from the 500-year equation given in <br />Bridges (1982). The 500-year flood for the <br />Fenholloway River can be estimated without extrapo- <br />lation since Florida is one of the few States for which <br />500-year regression equations have been published. <br />The difference between the two 500-year values is 11.3 <br />percent. This is typical of several comparisons of <br />extrapolated 500-year floods to published regional <br />equations that has indicated most results agree within <br />plus or minus 15 percent. Details of these comparisons <br />are given in a later section, <br />For comparison and evaluation, the NFF pro- <br />gram compares each extrapolated 500-year flood-peak <br />discharge with the maximum flood-envelope curves <br />given by Crippen and Bue (1977) and Crippen (1982), <br />Because there is no frequency of occurrence associated <br />with the envelope-curve estimates, the comparison of <br />these values to the extrapolated SOO-year flood is <br /> <br />14 <br /> <br />Nationwide Summary of U.S. Geological Survey Regional Regre.slon Equations for estlmetlng Magnitude and Frequency of <br />Flood. lor Ung.ged 511..,1993 <br /> <br />i <br /> <br />I <br />i <br />I <br />1 <br />, <br />, <br /> <br />I <br /> <br />" <br /> <br />I <br />I <br /> <br /> <br />. <br /> <br />i <br />I <br />, <br />! <br />, <br />I <br />i <br /> <br />, <br /> <br />1 <br />
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