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<br />- <br /> <br />APPENDIX B -- DESCRIPTION OF THE NATIONAL <br />FLOOD FREQUENCY PROGRAM <br /> <br />The National Flood Frequency (NFF) computer program <br />evaluates regression equations for estimating T-year flood- <br />peak discharges for rural and urban watersheds, As many as <br />7 multiple regression equations (2-, 5-, 10-, 25-, 50-, 100-, <br />and 500-year) are defined for each of 200 or more flood <br />regions. Methods are also available for estimating a typical <br />flood hydrograph corresponding to a given T-year peak <br />discharge, <br /> <br />The NFF computer program is composed of two components <br />.. a state-by-state data base of regression coefficients, stan- <br />dard errors, etc, for about 1,500 multiple regression equa- <br />tions and a calculation routine for rural and urban flood <br />characteristics including tabling and graphing capabilities, <br />The fonnat of the state-by-state data base is described below. <br />As noted earlier, the NFF program is written in the "C" pro- <br />gramming language and is designed to run on a microcom- <br />puter with at least 640K bytes of user memory, <br /> <br />Figure B I is a flow chart of the NFF computation options. A <br />State may be selected by a two-<:haracter code. Each State <br />will have from I to 12 flood regions, When a flood region is <br />selected, the program will prompt the user for the required <br />watershed and climatic characteristics and other infonnation <br />to make the flood computations. Options include the compu- <br />tation of regional regression estimates of the rural flood-peak <br />discharge for a given station, computation of a weighted esti- <br />mate of the station and regional estimates (if equivalent <br />years of record are provided for the regional equations), <br />computation of urban flood-peak discharges for a given sta- <br />tion, the ability to plot and save any computed frequency <br />curve, computation of a flood hydrograph corresponding to a <br />given T-year peak discharge, and the ability to plot and save <br />the computed flood hydrograph. The normal sequence of <br />these computations and plots is shown in figure B I. <br /> <br />An example of a logfile showing the sequence of questions <br />and input data needed for computing a flood-frequency curve <br />for the Fenholloway River near Foley, Aorida is illustrated <br />in figure B2. As can be determined by inspection of figure <br />B2, the Fenholloway River near Foley watershed is con- <br />tained in one hydrologic region - Region B. The NFF pro- <br />gram numbers the regions numerically so Region B is <br />identified in NFF as hydrologic region 2. The watershed <br />characteristics input by the user are Drainage Area = 120 <br />square miles and Lake Area = 0.37% of the drainage area, <br />The watershed of interest is contained in maximum flood <br />region 3 as defined by Crippen and Bue (1977) and shown <br />earlier (fig, 3), The Maximum Aood Envelope value of <br />101,000 cubic feet per second is an estimate of the maximum <br /> <br />flow ever experienced for a 120-square-mile watershed in <br />Crippen and Bue's flood region 3, <br />Given the above input values, a rural flood-frequency curve <br />is then computed and a table of flood-frequency values, stan- <br />dard errors of estimate and equivalent years of record are dis- <br />played in figure B2. The flood-frequency curve was <br />computed without using the 500-year equation, therefore the <br />500-year value shown in figure B2 was detennined by <br />extrapolation as defined in the section entitled Estimation of <br />Extreme Hoods. The regional flood-frequency curve is <br />shown earlier (fig, 2). In reality, 500-year equations do exist <br />for Aorida (Bridges, 1982) and the extrapolated 500-year <br />flood was compared to the value computed from the pub- <br />lished 500-year equation, This example was provided to <br />illustrate the applicability of the 500-year extrapolation pro- <br />cedure. <br />Finally, NFF allows weighting of observed and regionall <br />regression flood estimates (if equivalent years of record <br />available), computation of a urban flood-frequency curve, <br />plotting a flood-frequency curve, and computation of a flood <br />hydrograph, In figure B2, the response N (no) was provided <br />for all these questions. <br />The flood-frequency curve ordinates and the flood- <br />hydrograph ordinates can be output to a flat file for further <br />analysis with another program. <br />The flood-frequency curve ordinates are output in the fol- <br />lowing fonnat: <br /> <br />Nltion.1 Flood Frequency Program <br /> <br />Flood Frequency Data <br />Date: 091211199410:30 <br />Basin: Hypothetical River near Example <br />Consult the log file for the input data <br />Recurrence Rural <br />Interval, years Discharge <br />2 8120 <br />5 13200 <br />10 17400 <br />25 22100 <br />50 26700 <br />100 29800 <br />500 39900 <br /> <br />The flood-hydrograph ordinates can be output in two formats <br />.. generic and HYDRAIN, The generic fonnat is simply a <br />listing of the time, in hours, since runoff began and the cor- <br />responding discharge for selected points on the hydrograph, <br />The points are listed from 0,25 LT (lagtime) to 2.40 LT in <br />increments of 0.05 LT. An example of the file follows: <br /> <br />190 Nationwide Summary of U.S. Geologlcol Survey Raglonal Regression Equatlona for Estimating Msgnltude and Frequency of <br />Flood. for Ungaged Sit.., 1993 <br />