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Hypsometric Analysis. -A preliminary analysis of recirculation zone hypsometry was conducted <br />to quantify sediment storage changes within the recirculation zones. Hypsometry is the <br />distribution of area with respect to elevation within a defined region. Hypsometric curves have <br />traditionally been applied to drainage basins (Strahler, 1952; Schumm, 1956; Bloom, 1991). In <br />this application, we define the hypsometries of individual recirculation zones along the Colorado <br />River. By using dimensionless parameters, hypsometric curves from individual eddies can be <br />compared irrespective of true scale. We develop a general model of sandbar hypsometry and <br />compare the hypsometries of sandbars throughout this system during the period of interim flow. <br />TIN (triangulated irregular network) models of the combined topographic and bathymetric data <br />set were constructed within a boundary delineating the recirculation zone. Arc coverages of <br />0.5-m contour lines are generated from the TIN models and the area enclosed by each contour <br />line is summed to generate the raw hypsometric data (fig. 11a). The raw hypsometric data are <br />then normalized by expressing individual values as a ratio of the total range, and the cumulative <br />relative height versus the relative area is plotted (fig. 11b). <br />A system-wide hypsometric curve was generated by pooling all terrestrial and bathymetric data <br />from 30 sandbars for six survey runs from July 1991 to April 1994 (fig. 12). This curve was best <br />described using a third order polynomial equation: <br />Ai = 0.991 + (0.146 * E) - (2.535 * E;2) +(1.401 * Eis) (1) <br />(r2 = 0.895) <br />with A, as the relative sandbar area in hypsometric interval I, and Ei as the relative elevation <br />of interval I. The elevation intervals used in this analysis were 0.05 m. <br />An index of the geomorphic condition of individual sandbars was developed by comparing the <br />individual site hypsometry to the system-wide mean. Residuals between the observed <br />hypsometric curve and the system-wide hypsometric curve were calculated at each elevation <br />interval for each survey. These residual values were totaled to generate the SHCR (summed <br />hypsometric curve residual) for each survey. We then analyzed SHCR as a response variable <br />in a three-factor analysis of covariance (ANCOVA, SYSTAT v. 5.1). This analysis included the <br />following predictor variables: sampling run, reach width (wide versus narrow), and depositional <br />environment (separation, reattachment, or eddy bar), with distance from Lees Ferry and the <br />lagged, or antecedent, SHCR value as covariates. <br />The ANCOVA results show that antecedent bar condition (p < 0.0001) and reach width (p = <br />0.025) were the significant variables influencing sandbar morphology through time. The strong <br />correlation between SHCR and antecedent SHCR is best described using a least squares simple <br />linear regression: <br />SHCRn _ (0.849 * SHCRn_1) - 0.209 (2) <br />(adjusted r2 = 0.813, F, 61= 201.8,p < 0.0001) <br />The lower values along this line indicate sites near the system-wide mean sandbar morphology, <br />and the length of the line represents the range of bar morphologies in the system during the <br />period of study. <br />18