Laserfiche WebLink
Together, the two Balzac gages contain historical data for the entire SPDSS study period. <br />However, the Prewitt Reservoir inlet canal, the Johnson and Edwards Ditch, and the Tetsel Ditch <br />diversions are located between the old and new Balzac gage locations (the Prewitt Inlet Canal <br />and Johnson and Edwards Ditch share a headgate but are gaged separately.) To combine the <br />Balzac gages, historical diversion data for the Prewitt Inlet Canal, Johnson and Edwards Ditch, <br />and Tetsel Ditch were added to the South Platte River at Balzac historical gage data for the <br />period 1950 to 09/30/1987, effectively adjusting the South Platte River at Balzac gage data <br />upstream to the current location. This adjustment was completed using the following data: <br />Johnson and Edwards Ditch (0100526) -HydroBase records complete for 1950 through 2005 <br />Tetsel Ditch (0100525) -HydroBase records complete for 1950 through 2005 <br />Prewitt Reservoir inlet ditch -HydroBase records are stored under reservoir ID 0103552 <br />from 1970 through 1996 and inlet canal ID 0100829 starting in 1996. HydroBase does not <br />contain any records prior to 1970. Historical monthly Prewitt Reservoir diversion records <br />were obtained from the Prewitt Reservoir Operating Committee for the period 1926 through <br />1987 (this data has been provided to the State for review to determine if it is appropriate to <br />add to HydroBase). Comparison of the Committee records to HydroBase shows a very <br />strong correlation (R~ value of 0.95). Therefore, HydroBase records for reservoir ID <br />0103552 were used for 1970 through 1987 and supplemented with Committee records for <br />1950 through 1969. <br />Approach and Results -Fill Missing Records for Key Streamflow Gages to be used in the <br />Ground Water and Water Budget Modeling <br />Missing streamflow data can be filled using techniques developed in previous DSS modeling <br />efforts, which generally involve using regression with upstream, downstream, or nearby gages. <br />TSTooI was used to fill missing streamflow data using simple linear regression with the best <br />available streamflow data at other gage locations. A detailed review of filling methods is <br />provided in the Attachment A, "Methods for Filling Missing Streamflow Records (In Support of <br />Task 2 -Identify Key Streamflow Gages and Estimate Streamflows for Missing Records)". <br />Table 3 (sorted alphabetically) provides the regression analysis results for the ground water and <br />water budget gages. For each regression, the average annual streamflow, coefficient of <br />determination (R~), and square root of the mean of the sum of the square errors (RMSE) are <br />provided. The RMSE is another measure of the difference between estimated values and the line <br />of best fit. For a perfect fit, R~ = 1 and RMSE = 0. The filled results are shown in Figures 6 <br />through 11 below. Although monthly logarithmic regression is commonly used to fill missing <br />streamflow data, monthly linear regression produced the best correlations for most of the <br />dependent gages being filled under this task. An exception is the Sand Creek at Colorado- <br />Wyoming State Line (06659580) gage, where annual linear regression and monthly historical <br />averages were used (described further below). <br />Task2.doc 20 of 30 <br />