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<br />. <br /> <br />J~pth~ and velocities in the m~jn ch,mncl at overbank flow" <br />Thi~ overestimation may aruflClally depres~ the estimate of <br />suitable habitat at high flows, The combination of these <br />~rrors may lead to an erroneous conclusion that high flows <br />provide little or no habitat. <br />Another management problem associated with the omis- <br />sion of floodplain analyses relates to channel morphology. <br />It is generally recognized that high flows are important for <br />maintaining the existing channel structure and dimensions. <br />and for cleansing the substrate by removing accumulations <br />of fine materials. A commonly used estimator for a channel <br />maintenance discharge is the bankfull discharge. which is <br />taken as the maximum instantaneous flow with a recurrence <br />interval of about 1.5 yr (USFS 1986). This flow is, by defi- <br />nition. the discharge that is equalled or exceeded within that <br />recurrence period. The probability that the flow will remain <br />exactly at bankfull for a significant period is much smaller <br />than the 2 out of 3 yr implied by the recurrence interval. <br />Bv recommending that the bankfull discharge be delivered <br />f~r several days or weeks as a channel maintenance flow, <br />the investigator may inadvertently design a water manage- <br />ment regime that is detrimental to fish that could otherwise <br />move onto the floodplain during high flow events. Inclusion <br />of floodplain habitat usually reveals that flows slightly <br />above bankfull provide high-flow refuge microhabitat. <br /> <br />Temperature and Water Quality <br /> <br />The issues of water quality and temperature are some- <br />times complex when one analyzes specialized habitats in <br />large rivers. Most water quality and temperature models <br />used in river analyses are one-dimensional; they provide an <br />estimate of the average concentration of water chemistry <br />constituents or the temperature for the entire cross section <br />of the stream. Complete mixing is assumed and the output <br />variable is assumed to have the same value at all locations <br />across the cross section. Habitat models incorporating tem- <br />perature and water quality variables based on one- <br />dimensional descriptions are therefore usually considered as <br />"macro" models. Threshold criteria based upon mean daily <br />water temperature are typically used in conjunction with <br />such macro models (Brungs and Jones 1977; Coutant 1977). <br />A typical output from such models is a longitudinal profile <br />showing temperature along a specified length of water- <br />course. As illustrated in Fig. 3, it is possible to obtain fami- <br /> <br />~o <br />----+TO '" ,ee ---- <br />r- <br />: 10'" 15C <br /> <br />'5 <br /> <br /> <br />~ <br />" 10 <br />; <br />~ <br /> <br />1 <br />1 <br />I <br />~I <br />::1 <br />01 <br />c 1 <br />~I <br />~I <br />~I <br />'1 <br />1 <br />I <br />r <br />I I <br />.-Green R._r <br />, I <br /> <br />YamDa R. <br /> <br />o <br />700 <br /> <br />650 600 <br /> <br />550 500 <br /> <br />Distance (kilomel res) <br /> <br />FIG. 3. Longitudinal temperature profiles from the Yampa and <br />Green Rivers for nonnal July hydrometeorological conditions <br />(Theurer et al. 1982). <br /> <br />450 <br /> <br />lies of 10ngituclinal profiles represenllng different <br />hydrok)gical. mct~orologlcal. thermalloadlOg. or chemical <br />loading conditions, <br />The use of one-dimensional water quality and temperature <br />models may be appropriate in most situations. However. <br />there may be occasions when it would be desirable to be able <br />to predict these characteristics in a more nearly two- <br />dimensional fashion. For example, the average water tem- <br />perature may be several degrees higher in backwater areas <br />than in the main channel. This difference may have impor- <br />tant implications about the growth of young fish. The <br />mouths of tributaries may serve as local refuges during epi- <br />sodes of low DO in the larger river. where prediction of the <br />average main channel condition is not entirely adequate. <br />In addition, low gradient rivers with long deep pools <br />interspersed with shallow riffles or bars may stratify ther- <br />mally during low flows in summer. Cooler, denser upstream <br />water may slide beneath the warmer pool water, forcing <br />cool-water species (in the absence of groundwater dis- <br />charge) into a narrow band along the bottom. In other situa- <br />tions, the inflowing water from upstream may be warmer <br />than the pool water and consequently flow over the top of <br />the pools. If this condition persists long enough, DO may <br />become depleted in the pools. Two-dimensional water qual- <br />ity models commonly used in small reservoirs may be ade- <br />quate for predicting these occurrences. Data needs for <br />model calibration become large, and computer time for <br />long-term simulations become prohibitive, due to the com- <br />plexity of these models. <br />Prediction of these variables in a specialized habitat type <br />may not require the use of a two-dimensional model, but <br />rather a nontraditional use of one-dimensional models. Two <br />basic approaches are suggested: in habitat types such as side <br />channels, it may be possible to subdivide the reach and use <br />a one-dimensional model to predict the localized average <br />side channel condition; and in small specialized habitat <br />types a combination of one-dimensional modeling and site <br />specific empiricism may provide the answer. <br />Certain specialized habitat types, such as connected <br />sloughs and oxbows, have relatively low water exchange <br />rates with the main channel. The hydraulic connection with <br />the river is usually through a small inlet, or by groundwater <br />inflow and outflow. In either event, water may flow directly <br />through the slough area only during floods. A simple <br />equilibrium temperature model applied to the slough area <br />may be completely adequate - as a one-dimensional dis- <br />solved oxygen model would be. <br />A similar approach could be taken to estimate the dis- <br />solved oxygen concentr~tion in backwater areas formed at <br />the mouths of tributaries. Here, it would be necessary to <br />define the area of the backwater and estimate the relative <br />contributions of the main channel and the tributary to the <br />volume of the backwater. One-dimensional DO models <br />could be applied to both the tributary and the main stem to <br />predict their respective DO concentrations and a simple <br />dilution equation used to compute the mixed DO concentra- <br />tion in the backwater. <br />Where the hydraulic connection is more direct, and the <br />main channel is the sole water source, a combination of <br />models may be more appropriate. An example of this type <br />of habitat is a side channel backwater, where the tempera- <br />ture of the water at the inlet to the side channel is the same <br />as that of water in the river. However, depending on the <br /> <br />19 <br />