PREDICTION OF MEAN ANNUAL FLOWS IN NORTH AND CENTRAL FLORIDA1

Authors

  • Peter R. Waylen,

  • Matthew R. Zorn

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    • 2

      Respectively, Associate Professor, Department of Geography, 3141 Turlington Hall, P.O. Box 117315, University of Florida, Gainesville, Florida 32611–7315; and Assistant Professor, Department of Geography, Carthage College, Kenosha, Wisconsin 53140–1994 (e-m: prwaylen@geog.ufl.edu)


  • 1

    Paper No. 96181 of the Journal of the American Water Resources Association. Discussions are open until October 1, 1998.

Abstract

ABSTRACT: A frequency analysis approach for the prediction of flow characteristics at ungaged locations is applied to a region of high annual precipitation and low topography in north and central Florida. Stationary time series of annual flows are fitted with the lognormal distribution and estimated parameters of the distribution are fitted by third order trend surfaces. These explain 65 and 74 percent of the observed variances in the mean and standard deviation, respectively. Predictions of parameters are then made for several locations previously unused in the study and they are used to estimate the return periods of various flows from the lognormal distribution. Application of the Kolmogorov-Smirnov goodness-of-fit test suggests that only one of the five test stations can be considered significantly different from the observed data, confirming the applicability of this technique.

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