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<br />- <br />40 <br /> <br />Improving American River Flood Frequency Analyses <br /> <br /> <br />approach. Estimates of flood frequency distributions for the American River using <br />various combinations of systematic, historical, and paleo data are presented along <br />with a recommended distribution. Finally, evidence suggesting that the recommend- <br />ed distribution should not be extrapolated beyond a return period of 200 years is <br />presented. <br /> <br />BULLETIN 17-B <br /> <br />Recommended procedures for flood frequency analyses by federal agencies <br />are described in Bulletin 17-B (IACWD, 1982). Thomas (1985) describes the history <br />of the development of the$e procedures. The recommended technique is based on <br />fitting a Pearson type III distribution to the base-10 logarithms of the peak <br />discharges. The flood flow Q associated with cumulative probability p is then <br /> <br />10g[Qp] = X + KpS <br /> <br />where X and S are the Slllllple mean and standard deviation of the base-1 0 <br />logarithms Xi, and Kp is a frequency factor that depends on the skew coefficient and <br />selected exceedance probability. The mean, standard deviation, and skew coefficient <br />of station data are computed using <br /> <br />p, =x= tx/n <br /> <br />n , It <br />o-'=S2=~(Xi-X) /n-l) <br /> <br />n 3 It <br />y, =G=n~(xi-X) /n-l)(n-2)S2 <br /> <br />Estimation oftbe Skew Parameter <br /> <br />Because of the variability of at-site Slllllple skew coefficients, Bulletin 17-B <br />recomrnends using a weighted average of the station skew coefficient and a <br />generalized skew coefficient, a regional estimate of the log space skewness. In the <br />absence of detailed studies, the generalized skew coefficient Gg for sites in the <br />United States can be read from Plate I in the Bulletin. Assuming that the generalized <br />skew coefficient is unbiased and independent of statio~ skew coefficient, the mean <br />square error (MSE) of the weighted estimate is minimized by weighting the station <br />and generalized skew coefficients inversely proportional to their individual mean <br />square errors: <br />