PREDICTION OF MEAN ANNUAL FLOWS IN NORTH AND CENTRAL FLORIDA¹

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.

Water Budget on Various Land Use Areas Using NARR Reanalysis Data in Florida

“…Moreover, the previous researches showed that annual lake evaporation for the Lake Okeechobee area was approximately 129.5 cm per year (3.54 mm/day) [45]. Waylen and Zorn [46] also presented an annual evaporation estimation map that showed the Lake Okeechobee area with an annual value of approximately 126 cm (3.45 mm/day). Hence, the NARR dataset could provide the valuable analysis for estimating evaporation of Lake Okeechobee.…”

Impacts of Water Supply Uncertainty and Storage on Efficient Irrigation Technology Adoption

“…Such assumption allows us to evaluate the effect of water variability on decision outcomes. The log normal distribution has been successfully used in the past to model the skewed distribution of annual flows in regions of high interannual variability (Waylen and Zorn []). From a hydrological perspective, the contribution of drift component in the total change of water flow is negligible (Fisher and Santiago []).…”