<br />" .... ,. .,
<br />j. '., .
<br />t. u;:., ,:
<br />
<br />Day, 1985) provided the capability to make long-term
<br />forecasts using the NWSRFS model.
<br />
<br />Extended Streamflow Prediction Procedure
<br />
<br />The ESP procedure uses the historical mean areal
<br />precipitation and mean areal temperature time-series
<br />data to simulate future streamflows under the assump-
<br />tion that each year of historical data represents a possi-
<br />ble future occurrence of precipitation and temperature.
<br />For each year of historical data, a simulation is made
<br />with the NWSRFS model by inputting the existing
<br />hydrologic conditions up to the present and by input-
<br />ting the historical data beyond the present. Thus, a sim-
<br />ulated hydrograph is generated for the forecast period
<br />for each year of historical data. The ESP procedure
<br />then performs a frequency analysis of the simulated
<br />future hydrographs; the frequency analysis provides
<br />the means to make probabilistic forecasts for the period
<br />of interest.
<br />Probabilistic forecasts can be made for different
<br />types of hydrologic data, such as discharge, reservoir
<br />volume or elevation, river stage, or snowpack water-
<br />equivalent. Also, different output variables can be con-
<br />sidered in the analysis, such as maximum, minimum, or
<br />daily average value; maximum instantaneous value;
<br />cumulative value (volume); or number of days that
<br />some specified value is or is not exceeded (Day, 1985,
<br />p. 164-165). In the application of ESP for the PRJUP
<br />. study, forecasts are made for daily average discharge,
<br />and the output variable is volume.
<br />The ESP procedure produces output for a condi-
<br />tional simulation, a historical simulation, and the
<br />observed (recorded) data. The conditional simulation
<br />output is produced by using the existing hydrologic
<br />conditions with the historical mean areal precipitation
<br />and mean areal temperature data, The historical simu-
<br />lation output is produced by continuous simulation of
<br />the historical data without resetting the initial condi-
<br />tions at the beginning of the forecast period to the exist-
<br />ing conditions. ESP output includes frequency curves
<br />for the conditional simulation, the historical simula-
<br />tion, and the recorded data.
<br />Simulation of streamflow always is subject to
<br />some error; therefore, there will be some difference
<br />between the frequency curves for the historical simula-
<br />tion and the recorded data. Based on the difference
<br />between these two frequency curves. an adjustment can
<br />be made to the conditional simulation frequency curve
<br />before a probabilistic forecast is made (Day, 1985, p.
<br />165). The data output by the ESP procedure may be fit-
<br />ted to the empirical, normal, or log-normal distribu-
<br />tions.
<br />
<br />Example Forecasts Using the Extended
<br />Streamflow Prediction Procedure
<br />
<br />During development of the operational capabil-
<br />ity of the NWSRFS model for the PRJUP study, dis-
<br />charge foreCasts made using the ESP procedure were
<br />compared with water-supply forecasts prepared annu-
<br />ally by the U.S. Soil Conservation Service and the
<br />National Weather Service by using regression tech-
<br />niques. The forecasts are made for the April-
<br />September period on the first day of each month from
<br />January through May; only the April I forecast was
<br />used in the comparisons. The water-supply forecasts
<br />(U.S. Soil Conservation Service and National Weather
<br />Service, 1991, 1992) for the at-Granite and at-Salida
<br />stations (fig. I) were used for comparison to the ESP
<br />forecasts. [These stations were used because the ESP
<br />procedure was not implemented downstream to Pueblo
<br />Reservoir until after April 1992, even though the
<br />NWSRFS model had been calibrated downstream to
<br />Pueblo Reservoir during 1991; therefore, ESP forecasts
<br />of inflow volume to the reservoir could not be made in
<br />1991 and 1992.]
<br />
<br />Comparison of the water-supply forecasts and
<br />the ESP forecasts is shown in figures 22 and 23. Gen-
<br />erally, the differences between the forecasts made by
<br />each method are not substantial. Use of the ESP proce-
<br />dure, though, has the additional benefit of the capability
<br />to provide forecasts for any time period, such as
<br />April 15 through May 14, whereas the published water-
<br />supply forecasts are only for the April-September
<br />period. .
<br />
<br />SUMMARY
<br />
<br />Part of the storage space of Pueblo Reservoir,
<br />which is located on the Arkansas River in southeastern
<br />Colorado, consists of a 65,950 acre-ft joint-use pool
<br />(JUP). The JUP can be used to provide additional con-
<br />servation capacity from November I to April 14, The
<br />operating procedures for Pueblo Reservoir, however,
<br />require that the JUP be completely evacuated by
<br />April 15 and used only for flood-control capacity until
<br />November 1. During winter, the JUP primarily is used
<br />to store water for agricultural uses, but because
<br />April IS is before the crop-growing season in south-
<br />eastern Colorado, little beneficial use can be made of
<br />the water released prior to April IS, A study was com-
<br />pleted during 1992 by the U.S. Geological Survey, in
<br />cooperation with the Southeastern Colorado Water
<br />Conservancy District to determine if the April 15 evac-
<br />uation date could be extended for any number of days
<br />from April 15 through May 14 under certain hydrologic
<br />conditions.
<br />
<br />42 Use of Frequency Anslysls and the Extended Streamflow Prediction Procedure to Estimate Evscuatlon Dates for the
<br />JoInt-Use Pool of Pueblo Reservoir, Colorado
<br />
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