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<br />e <br /> <br />. <br /> <br />-< <br />. <br /> <br />. <br />. <br /> <br />e <br /> <br />. <br />~ <br /> <br />. <br /> <br />. <br />. <br /> <br />e <br /> <br />Chapter 5 <br />Unsteady Flow <br /> <br />5-1. Introduction <br /> <br />This chapter is presented in two sectinns. Section I <br />presents guidance on the practical use of unsteady flow <br />modeling and Section II presents some theoretical consid- <br />erations regarding various routing techniques. Guidance <br />regarding the application of unsteady flow models is <br />presented first because the theoretical information, <br />although important, is of a more general nature. <br /> <br />Section I <br />Application of Unsteady Flow Models <br /> <br />5-2. Steady versus Unsteady Flow Models <br /> <br />The traditional approach 10 river modeling has been the <br />use of hydrologic routing to determine discharge and <br />steady flow analysis 10 compute water surface proftIes. <br />This method is a simplification of true river hydraulics, <br />which is more correctly represented by unsteady flow. <br />Nevertheless, the traditional analysis provides adequate <br />answers in many cases. This section identifies when to <br />use unsteady flow analysis. <br /> <br />a. Steady flow. Steady flow analysis is defmed as a <br />combination of a hydrologic technique to identify the <br />maximum flows at locations of interest in a study reach <br />(termed a "flow profile") and a steady flow analysis 10 <br />compute the (assumed) associated maximum water sur- <br />face profIle. Steady flow analysis assumes that, although <br />the flow is steady, it can vary in space. In contrast, <br />unsteady flow analysis assumes that flow can change <br />with both time and. space. The basics of steady flow <br />analysis were given in Chapter 2; details may be found <br />in Chapter 6. <br /> <br />(I) The typical steady flow analysis determines the <br />maximum water surface profile for a specified flood <br />event. The primary assumptions of this type of analysis <br />are peak stage nearly coincides with peak flow, peak <br />flow can accurately be estimated at all points in the <br />riverine network, and peak stages occur simultaneously <br />over a short reach of channel. <br /> <br />(2) The first assumption allows the flow for a steady <br />state model to be obtained from the peak discharge com- <br />puted by a hydrologic or probabilistic model. For small <br />bed slopes (say less than 5 feet per mile), or for highly <br /> <br />EM 1110-2.1416 <br />15 Oct 93 <br /> <br />transient flows (such as that from a dam break), peak <br />stage does not coincide with peak flow. This phenome- <br />non, the looped rating curve effect, results from changes <br />in the energy slope. The change in slope can be caused <br />by backwater from a stream junctinn, as shown in <br />Figure 5-1, or by the dynamics of the flood wave, as <br />depicted in Figure 5-2. Since coincidence of peak stage <br />and flow does not exist in either of these cases, the <br />proper flow 10 use in a steady flow model is not obvious. <br /> <br />(3) The second assumption concerns the estimation <br />of peak flow in river systems. For a simple dendritic <br />system the flow downstream from a junction is not nec- <br />essari1y equal to the sum of the upstream flow and the <br />tributary flow. Backwater from the concentration of flow <br />at the junction can cause water to be stored in upstream <br />areas, reducing the flow contributions. Figure 5-2 shows <br />the discharge hydrographs on the Sangmon River at the <br />Oakford gage and at the mouth of the Sangmon River <br />21 miles downstream. The outflow hydrograph is attenu- <br />ated and delayed by backwater from the Illinois River. <br />Steady state analysis often assumes a simple summation <br />of peak discharges. For steep slopes, once again, the <br />assumption may be appropriate but its merit deteriorates <br />as the gradient decreases. <br /> <br />(4) A more difficult problem is that of flow bifurca- <br />tion. Figure 5-3 shows a simple stream network that <br />drains a portion of Terrebonne Parish in Louisiana. How <br />can the flow in reach 3 be estimated? Figure 5-1 shows <br />the hydrograph at mile 0.73 in reach 3; note the flow <br />reversal. Hydrologic models and steady state hydraulics <br />cannot predict that division of flow or the flow reversals. <br /> <br />(5) The third assumption allows a steady flow model <br />to be applied to an unsteady state problem. It is assumed <br />that the crest stage at an upstream cross section can be <br />computed by steady flow analysis from the crest stage at <br />the next downstream cross section: hence, it is therefore <br />assumed that the crest stage occurs simultaneously at the <br />two cross sections. Because all flow is unsteady and <br />flood waves advance downstream, this assumption is <br />imprecise. As the stream gradient decreases and/or the <br />rate of change of flow increases, the looped rating curve <br />becomes more pronounced, and the merit of this assump- <br />tion deteriorates. <br /> <br />(6) The three assumptions are usually justified for <br />simple dendritic systems on slopes greater than about <br />5 feet per mile. For bifurcated systems and for systems <br />with a small slope, the assumptions are violated and the <br /> <br />5-1 <br />