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<br />I <br />I <br />1 <br /> <br />'1 <br /> <br /> <br />fi <br /> <br />418 BIOLOGICAL REroRr 19 <br /> <br />finer than that found on the bed-to enter the <br />river. Such material will generally remain in sus- <br />pension, traveling downstream at the water veloc- <br />ity, until it reaches a point where the prevailing <br />shear stress is low enough that it settles persist- <br />ently to the bed and begins to interact with it. This <br />transport mechanism, called suspended-load <br />transport, can also occur for sediments eroded <br />from the bed in an area of high shear stress; the <br />significance of it is that sediment particles travel <br />downstream essentially at the same speed as the <br />water, that is, at the order of 1 m/s. By contrast, <br />bedload transport, by which material travelljl <br />downstream very near the bed by rolling, sliding, <br />and making short hops in response to turbulent <br />flow fluctuations, carries sediment downstream <br />very slowly in comparison with the speed of water <br />movement, at speeds of the order of several kilo- _ <br />meters per year. Indeed, the essential mechanism <br />for downstream movement of bedload is intermit- <br />tent local deposition, whereby increased velocity <br />causes the shear stress to increase sufficiently to <br />re-entrain the sediment and move it on down a bit <br />farther, and so on. <br />Anyone who has walked along exposed portions <br />of a river bed knows that there can be a remarkable <br />heterogeneity of bed sediment in a particular loca- <br />tion. Yet Fig. 1 indicates that there is a single slope, <br />a single sediment load and size, and so forth. A key <br />feature of a river's nonequilibrium response to per- <br />turbations can be spatial redistribution of bed sedi- <br />ment, bedforms, and even subchannels within the <br />overall waterway in a braided system. The non- <br />equilibrium response of meandering channels is <br />typically characterized by spatial and temporal re- <br />distribution of geomorphic features. <br />Thus, while the essential features of a river's <br />response to perturbed equilibrium are conceptu- <br />ally summarized in Fig. 1, there are many other <br />subtle features of the response that are poorly <br />understood at best, and in any case not amenable <br />to direct analysis. One example is the dependence <br />of viscosity on temperature, which leads to major <br />changes in suspended-sediment transport, as well <br />as bedform change and consequent dramatic rat- <br />ing-curve shifts on the Missouri River. The goal of <br />numerical simulation of mobile-bed processes is to <br />provide effective prediction of nonequilibrium <br />river response by bringing together the best pos- <br />sible conceptual mathematical models of the im- <br />portant processes, and solving the resulting sys- <br />tems of equations using appropriate numerical <br />methods. <br /> <br />Basis for Computer Simulation <br /> <br />Many investigators are involved in developing <br />mobile-bed computational models. Such models <br />can differ at several levels, from. the gross to the <br />subtle. The grossest distinction is in dimensional- <br />ity. <br />Nature is three-dimensional (3-D), and ideally <br />one should construct mobile-bed simulation mod- <br />els on the basis of a full 3- D description of the water <br />and sediment processes. Until recently, however, <br />the sheer computer-resource demands have pre- <br />cluded serious development of 3-D mobile-bed <br />simulation codes. At present, the Iowa Institute of <br />Hydraulic Research is working with the U.S. Army <br />Corps of Engineers Waterways Experiment Sta- <br />tion to implement mobile-bed processes in the ex- <br />isting Computational Hydraulics 3- Dimensional <br />(CH3D) 3-D fixed-bed hydrodynamic code fornatu- <br />ral waterways. <br />Two-dimensional (2-D) simulation can be fo- <br />cused on width-averaged processes, or depth-av- <br />eraged ones. Width-averaged analysis is often <br />used to study mechanisms of sediment exchange <br />between the bed and the water column, see for <br />example van Rijn (1984). The depth-averaged <br />(plan-view) simulation generally used for analysis <br />of natural waterways and reservoirs is often jus- <br />tified when stratification effects are weak. A <br />depth-averaged representation allows the spatial <br />heterogeneity of bed sediment and geometry to be <br />recognized, but at the price of significant demands <br />on computer resources. The U.S. Army Corps of <br />Engineers TABS-2 system (Thomas and McAnally <br />1985) has been in active use in the last decade. <br />This model is limited to a single sediment size <br />class and only the suspended-load mode of sedi- <br />ment transport. The MOBED2 system, recently <br />developed at the Iowa Institute of Hydraulic Re- <br />search by Spasojevic (Spasojevic and Holly 1990), <br />treats suspended-load and bedload transport of <br />sediment mixtures, and has been successfully <br />used for simulation of reservoir sedimentation. <br />One-dimensional (I-D) models deal with cross- <br />sectional average channel and flow properties, in- <br />cluding bed sediment. They are incapable ofrecog- <br />nizing the spatial heterogeneity of bed sediments, <br />local channelization, and so forth. But to the extent <br />that they enable the river engineer to study the <br />response of a simple 1-D system having certain <br />macroscopic properties in common with the real <br />river under study, they can be useful tools within <br />their limits of applicability, especially because <br />