<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 />
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