Laserfiche WebLink
<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 />