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<br />. <br />7 <br /> <br /> <br />'~ <br /> <br />TESTING AND VALIDATION OF TECHNIQUES <br /> <br />By J.B. Atkins <br /> <br />INTRODUCTION <br /> <br />Three to five sites from each hydrologic region in <br />each State were selected to use for the testing of <br />National Flood Frequency (NFF) Program, using <br />watershed and climatic data obtained from published <br />flood-frequency reports or provided by local USGS <br />District offices. The sites represented a range of the <br />independent variables required by the region's respec- <br />tive flood-frequency equations, Of particular interest <br />was the accuracy of the 500-year extrapolation proce- <br />dure described in an earlier section of this report. Pub- <br />lished 500-year peak prediction equations for eight <br />States (Arizona, Colorado, Florida, Illinois, Oklahoma, <br />Utah, West Virginia, and Wyoming) provided the basis <br />for evaluating the 500-year extrapolation procedure in <br />NFF. Since these tests were completed, regression <br />equations have been updated for six more States <br />(Mississippi, New York, South Carolina, Montana, <br />North Dakota and Tennessee) that have 500-year equa- <br />tions, These latter States were not used in the tests. <br /> <br />Testing and evaluation of NFF was performed by <br />comparing values from State 500-year equations with <br />extrapolated 500-year values for the eight States noted <br />above. Certain ratios were also computed such as the <br />ratios of the 500-year peak discharge to the lOO-year <br />peak discharge from NFF which was subtracted from I <br />so that extreme values would be easier to recognize. <br />The ratio of the 500-year peak discharge to the Crippen <br />and Bue maximum flood-envelope value was also com- <br />puted. <br /> <br />Evaluation of NFF also examined how well the <br />frequency curve from NFF at each site confonned to a <br />smooth log-Pearson Type III distribution frequency <br />curve, Confonnity to a smooth curve was measured by <br />computing the Root-Mean-Square (RMS) deviation of <br />log residuals of the T-year peak discharges of the esti- <br />mated State equation from a titted log-Pearson 1Ype ill <br />frequency curve through those T-year values. This sta- <br />tistic was used to examine how the frequency curve <br />computed by the regression equations compared to a <br />smooth titted log-Pearson type ill frequency curve. <br /> <br />Next, a site-specific skew coefficient computed <br />by NFF for the smooth fitted log-Pearson type III curve <br />was compared with a generalized skew coefficient from <br />Plate I of Bulletin 17B (Interagency Advisory Commit- <br />tee on Water Data, 1982). This comparison was made <br />in the fonn of a standardized skew residual statistic, <br />which was computed by subtracting the generalized <br />skew coefficient from the site-specific skew coefficient <br />and dividing the difference by 0.55 ((site skew - gener- <br />alized skew)/0.55), which is the nationwide standard <br />deviation of station values of skew coefficient about the <br />skew contour lines of Plate I in Bulletin 17B (Inter- <br />agency Advisory Committee on Water Data, 1982). In <br />addition to the fitted-curve skew, the fitted-curve stan- <br />dard deviation was computed (in 10glO units). This <br />standard deviation was used to evaluate the slope of the <br />smooth curve. <br /> <br />General Testing <br /> <br />The published 500-year peak discharge equa- <br />tions for the eight States noted earlier, were derived by <br />linear regression techniques except for Utah, in which <br />a 500-year peak discharge can be computed by multi- <br />plying the 1000year peak discharge by a factor. The <br />500-year peak discharge estimates computed from <br />these equations were evaluated using the above men- <br />tioned procedures. <br />The extrapolated 500-year peak discharges dif- <br />fered from the 500-year estimates from the equation <br />developed by regression analysis by as much as +35 <br />percent and -68 percent with a mean difference of -0.83 <br />percent. One minus the ratio of the 500-year peak dis- <br />charges from the computed State equations to the 100- <br />year peak discharges (1 - Q500/Q I (0) was 0,57, This <br />same statistic, using extrapolated values, had a mean <br />ratio of 0.58 indicating that extrapolated 500-year val- <br />ues are similar to those from the State equations devel- <br />oped by regression analysis, <br />The mean ratio of 500- year peak discharges from <br />the State equations to the Crippen and Bue maximum <br />envelope values was 0,22 while the same mean ratio <br />using extrapolated 500-year peak discharge values was <br /> <br />TESTING AND VAUDATION OF TECHNIQUES 17 <br />