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26 Probable Effects of the Proposed Sulphur Gulch Reservoir on Colorado River Quantity and Quality <br />near Grand Junction, Colorado <br />In this study, the lower and upper confidence intervals for <br />all Monte Carlo trials agreed within 1 percent. The standard <br />error of average simulated daily streamflow values for Colo- <br />rado River near Cameo, however, continued to decrease until <br />the total number of trials was equal to or greater than 1,500 <br />(see fig. 17). For this reason, the use of 1,500 Monte Carlo trials <br />is deemed sufficient to ensure convergence and stability of fore- <br />cast distributions in this study. Because the daily time step is <br />used to compute water-budget components over a calendar <br />year, the 1,500 Monte Carlo trials is representative of <br />1,500 alternate calendar years and therefore hydrologic condi- <br />tions. <br />Comparison of Simulated and Measured Forecasts <br />In the second phase of model validation, the objective is to <br />evaluate the stochastic mixing model accuracy. To evaluate the <br />accuracy of the stochastic mixing model, selected forecasts are <br />summarized statistically and compared to selected hydrologic <br />and water-quality data that were collected at various streamflow <br />gaging stations along the Colorado River study reach. This val- <br />idation phase uses the same decision variables previously <br />described in the Stability and Convergence Section. The sto- <br />chastic hydrology forecasts of interest include annual and daily <br />simulations of the Colorado River streamflow near Cameo and <br />Palisade and at Plateau Creek, a tributary to the Colorado River. <br />A comparison of simulated and measured annual streamflow <br />statistics is provided in table 7. <br />Inspection of the annual streamflow statistics indicates <br />excellent correspondence between simulated and measured <br />streamflow at the Colorado River near Cameo gage station. This <br />finding underscores the validity of using correlated daily ran- <br />dom streamflow variables in this study. Whereas the simulated <br />and measured statistics associated with streamflow at Plateau <br />1,500 <br />Creek near Cameo and the Colorado River near Palisade are of <br />the same order of magnitude, these statistical streamflow values <br />are not as accurate as those at Cameo. One plausible reason is <br />that the residual analysis used to convert the deterministic equa- <br />tions (fit using nonlinear regression) to stochastic equations is <br />not as accurate as using correlated random variables (see <br />fig. 10). Individual stochastic daily streamflow simulations for <br />USGS Colorado River gage sites near Cameo, Palisade, and <br />Plateau Creek near Cameo, however (shown in figs. 18-20), <br />demonstrate good visual correspondence to the measured daily <br />median values. In addition to streamflow, the mean-monthly <br />simulated evaporation values were computed and found compa- <br />rable to basin estimates published by Farnsworth and Thomp- <br />son (1982). A comparison of simulated and measured daily <br />streamflow statistics is provided in tables 8-10. <br />In general, good correspondence exists between measured <br />and simulated daily streamflow statistics. Whereas the median <br />and average statistics appear to give the best correspondence <br />between actual and simulated values, the extreme hydrologic <br />conditions represented by the minimum and maximum stream- <br />flow values are characterized by more uncertainty. The fact that <br />measured and simulated streamflow statistics appear similar at <br />the Colorado River near Cameo gage site (close to the begin- <br />ning of study reach) and then at Colorado River near Palisade <br />gage (end of study reach) indicates that the water-budget <br />process of adding and subtracting stochastic diversions, return <br />flow, streamflow tributary water, and evaporation works. <br />Because the stochastic hydrologic model appears to provide <br />adequate simulations of daily and annual streamflow through- <br />out the study reach, the next section is used to provide informa- <br />tion to better understand background hydrologic and <br />water-quality conditions for selecting appropriate reservoir <br />parameters that satisfy the PBO water-delivery requirements. <br />U <br />j 1,250 <br />U ~ <br />Z Z <br />~ 1,000 <br />~ W <br />O cn <br />~ W 750 <br />W 0_ <br />O ~ <br />Q ~ 500 <br />Z <br />250 <br />0` <br />0 <br />500 1,000 1,500 2,000 2,500 3,000 <br />NUMBER OF MONTE CARLO SAMPLES <br />Figure 17. Mean standard error of median simulated daily <br />streamflow values for Colorado River near Cameo as function <br />of Monte Carlo sampling. <br />