Laserfiche WebLink
<br />e <br /> <br />. <br /> <br />< <br />. <br /> <br />. <br />, <br /> <br />e <br /> <br />. <br />~ <br /> <br />. <br />. <br /> <br />e <br /> <br />river problems are friction dominated, however, and the <br />model results may not be very sensitive to the value <br />selected for the turbulent exchange coefficients. A gen- <br />eral approach is 10 first calibrate the roughness coeffi- <br />cients (Manning's n values) to reproduce the energy loss <br />or water surface gradient through the study reach and <br />then adjust the turbulent exchange coefficients 10 match <br />the observed or expected velocity distribution. The <br />exchange coefficients should be set 10 the high end of the <br />expected range first, then lowered until the desired veloc- <br />ity pattern is reproduced by the model. In general, the <br />higher the coefficients, the more uniform the velocity <br />distribution; the lower the coefficients, the more readily <br />does flow separation and eddy formation take place. <br />Two-dimensional models (as with one-dimensional mod- <br />els) should be calibrated 10 steady flow conditions first, if <br />possible, before attempting calibration to an unsteady <br />flow event (Cunge et al. 1980). <br /> <br />d. Field data. In addition to thoroughly inspecting <br />the study area, the analyst should be familiar with the <br />manner in which field observations are made, that is, the <br />type of instruments used and the conditions under which <br />the data were obtained. Data reduction techniques may <br />also affect the accuracy and variability of the observa- <br />tions. The analyst should not consider field data 10 be <br />perfectly accurate nor necessarily representative of field <br />conditions over the complete range of circumstances 10 <br />be studied. Internal consistency of field data should be <br />checked if at all possible. For example, when using <br />velocity observations for calibration of a two-dimensional <br />model in steady flow conditions, one should calculate the <br />discharge from the velocity and depth measurements and <br />compare it to the discharge obtained from a nearby gage <br />at the same time as the velocity measurements were <br />made. <br /> <br />EM 1110-2-1416 <br />15 Oct 93 <br /> <br />4-10. Example Applications <br /> <br />Most applications of two-dimensional horiwntal models <br />to date have been in estuarial environments; some of <br />these applications are presented in "Two-Dimensional <br />Flow Modeling" (U.S. Army Corps of Engineers 1982b), <br />McAnally et al. (l984a, 1984b), and MacArthur et al. <br />(1987). A recent study that evaluated the effects of <br />deepening a ship channel on velocity patterns and shoal- <br />ing is discussed by Lin and Martin (1989). Computation <br />of velocity distributions in a river downstream from a <br />hydropower project is presented in Gee and Wilcox <br />(1985). Impacts of highway bridge crossings on water <br />surface elevations are discussed in Lee (1980), Tseng <br />(1975), and Heltzel (1988). Effects of dikes on the flow <br />distribution in a river was investigated using TABS-2 by <br />Thomas and Heath (1983). Use of two-dimensional <br />modeling 10 analyze effects on river stage of a major <br />channel encroachment is presented in Stewart et al. <br />(1985). In this study use of a one-dimensional model did <br />not produce credible results because values of the expan- <br />sion-contraction coefficients governed the outcome and, <br />as this was a design study, there were no field data for <br />their calibration. Results were much less sensitive 10 the <br />values of the turbulent exchange coefficients because the <br />major flow patterns and separation areas were calculated <br />directly by the two-dimensional model. It is the effects <br />(energy losses) of these separation areas that the expan- <br />sion-contraction coefficients attempt to describe. Use of <br />RMA-2 to model flood movement in a large river chan- <br />nel-floodplain system is presented in Gee et al. (1990). <br />This paper also describes the computational resources <br />required to perform such a study. Use of a two-dimen- <br />sional model to analyze distribution of flow in the <br />St. Lawrence River is documented by Heath (1989). <br /> <br />4-7 <br />