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<br />through July 1991. Each research flow took place over <br />an ll-day period during which the hourly releases <br />had been specified by the researchers, Research flows <br />were planned to provide opportunities to make mea- <br />surements under known and controlled steady and <br />unsteady flow conditions, The unsteady research <br />flows were designed to test releases similar to those <br />for power generation - low releases at night and high <br />releases during the middle of the day, Two research <br />flows in May 1991 were selected for velocity and dis- <br />persion measurement because (1) these flows allowed <br />evaluation of the difference in fluid transport during <br />steady and unsteady releases; (2) these flows were the <br />pair of steady and unsteady releases with the highest, <br />and approximately equal, daily mean discharge (425 <br />m3/s), and high flows have substantially greater <br />capacity for sediment transport than lower flows; (3) a <br />dense network of stage gages was available to provide <br />detailed information on stage changes throughout the <br />study reach during the period of unsteady flow; and <br />(4) suspended-sediment concentrations, and therefore <br />loss of dye through adherence to sediment, were <br />expected to be lowest in May, High suspended- <br />sediment concentrations typically result from runoff <br />in tributaries, and in northeast Arizona, rainstorms <br />that produce runoff are less likely in the late spring <br />and early summer than at other times of the year, <br /> <br />Description oftM Study Reach <br /> <br />Channel geometry of the 406-kilometer study reach <br />is variable and to a large degree controlled by <br />bedrock type and structure (Howard and Dolan, <br />1981). More than 60 percent of the bed is covered by <br />bedrock, talus blocks, and boulders (Wilson, 1986), <br />Geometry ranges from narrow bedrock channels char- <br />acterized by rapids and pools typically 15 m or more <br />deep to wide, shallow, channels with large midchan- <br />nel gravel bars, Sand is stored in the pools in thin, <br />discon tinuous layers on a bedrock or gravel bed, <br />Channel constrictions formed by debris deposits at <br />the mouths of tributary streams, bedrock projections, <br />or talus cause flow separation and eddies in all mea- <br />sured reaches, Although eddies occur in most <br />streams, they are a characteristic feature of the Col- <br />orado River in Grand Canyon where the very rough <br />and resistant bed causes flow separation in many <br />locations (Schmidt and Graf, 1990; Schmidt, 1990), <br />Typical eddies range in length from 150 to 500 m at <br />moderate flow, and flow velocity in eddies is typically <br />20 to 40 percent of the velocity in the downstream <br />flow of the adjacent main channel (Schmidt, 1990), <br />Transfer of water and sediment between the main <br />downstream flow and the eddies is of major concern <br />because eddies are the primary depositional sites for <br /> <br />WATER RESOURCES BULLETIN <br /> <br />GTaf <br /> <br />sand bars in this incised bedrock river. Also, shallow <br />areas with low-velocity flow are formed in the eddy <br />zones when stage in the main channel is low enough <br />to expose the sand bars that are typical of the eddy <br />zones, The low-velocity areas, called backwaters by <br />fisheries biologists, may be important to the survival <br />of native fish (Maddox et at" 1987), <br /> <br />Study Approach <br /> <br />Measurements were made by injecting rhodamine <br />WT, a red fluorescent dye developed as a water tracer, <br />into the river and collecting water samples as the dye <br />passed selected sites downstream from the injection, <br />Sampling was planned to begin before the arrival of <br />the dye at a site and continue until the dye had <br />passed the sample site, <br />A mass of water marked by a tracer dye will move <br />with the mean flow of the stream and mix with sur- <br />rounding water to form a dye cloud of increasing <br />length and decreasing concentration, Mixing and <br />spreading in rivers are caused primarily by turbulent <br />diffusion and velocity gradients (Fischer, 1973), A <br />one-dimensional diffusion equation, in which flux is <br />directly related to a concentration gradient by a diffu- <br />sion coefficient, is commonly used to describe longitu- <br />dinal dispersion - spreading of a mass of water in a <br />downstream direction - in rivers (Fischer, 1973), <br />According to that theory, the distribution of dye con- <br />centration with time at a point downstream from the <br />point at which the dye has become mixed throughout <br />the width and depth of flow will be positively skewed <br />- the mean concentration or centroid of the dye cloud <br />will trail the peak concentration, Variance of the con- <br />centration distribution will increase linearly with <br />time, and peak concentration will decrease as the <br />square root of traveltime of the peak concentration <br />increases (Nordin and Sabol, 1974), A number of stud- <br />ies have shown that one-dimensional theory does not <br />adequately describe longitudinal dispersion in many <br />rivers (Nordin and Sabol, 1974; Day, 1975; Godfrey <br />and Frederick, 1970; Seo, 1990), Typically, concentra- <br />tion distributions in rivers are more positively skewed <br />and variance of the distribution increases at a greater <br />rate than predicted by one-dimensional theory, Also, <br />measured distributions typically have long tails not <br />predicted by one-dimensional theory, The tails gener- <br />ally are attributed to temporary storage in zones of <br />slowly moving or nonconveying parts of the channel <br />along the channel bed and banks, Much of the effort <br />to develop models of longitudinal dispersion has <br />focused on accounting for the "dead zones. along the <br />channel (Bencala and Walters, 1983; Seo, 1990; Valen- <br />tine and Wood, 1977), <br /> <br />i <br /> <br />~ <br /> <br />" <br /> <br />268 <br />