Multiple and simple least-squares regression models for the log10-transformed 1.5- and 2-year recurrence intervals of peak discharges with independent variables describing the basin characteristics (log10-transformed and untransformed) for 236 streamflow-gaging stations were evaluated, and the regression residuals were plotted as areal distributions that defined three regions in West Virginia designated as East, North, and South. Regional equations for the 1.1-, 1.2-, 1.3-, 1.4-, 1.5-, 1.6-, 1.7-, 1.8-, 1.9-, 2.0-, 2.5-, and 3-year recurrence intervals of peak discharges were determined by generalized least-squares regression. Log10-transformed drainage area was the most significant independent variable for all regions.
Equations developed in this study are applicable only to rural, unregulated streams within the boundaries of West Virginia. The accuracies of estimating equations are quantified by measuring the average prediction error (from 27.4 to 52.4 percent) and equivalent years of record (from 1.1 to 3.4 years).
Description of Study Area
Development of Low-Recurrence-Interval Peak-Discharge Estimating Equations
Magnitude and Frequency Analysis
Regional Regression Analysis
Estimating Discharges for Gaged and Ungaged Locations
Accuracy of Low-Recurrence-Interval Peak-Discharge Estimating Equations
Limitations of Low-Recurrence-Interval Peak-Discharge Estimating Equations
Appendix 1. Fortran Program for Calculating Frequency Factors
Appendix 2. Accuracy of Estimating Equations
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