Laserfiche WebLink
<br />e <br /> <br />. <br />" <br /> <br />-' <br />.. <br /> <br />e <br /> <br />, <br /> <br />~ <br /> <br />e <br /> <br />reach. The latter type of projects may require less data <br />than the former. For example, an evaluation of the bed <br />material at and near the surface, through "grab samples" <br />or collection with hand augers, may be adequate. If the <br />material consists of fme sands, a detailed sediment study <br />may be required, possibly in the feasibility phase. <br /> <br />d. Data availability. Data are usually available from <br />the U.S. Geological Survey's (USGS) nationwide data <br />collection system. Corps' water data measurements <br />provide another source; in many parts of the United <br />States state agencies and water conservancy districts also <br />collect water data. If measured data are not available but <br />are required for the study, a data collection system is <br />necessary. Guidance on specifying and developing a <br />gaging system is available from the USGS (1977) with <br />additional information in ER 1110-2-1455. Definition of <br />the need for certain data and budgeting for its collection <br />should be included in the feasibility or reconnaissance <br />report cost estimates. <br /> <br />e. Accuracy of data. Results from numerical models <br />are routinely available 10 a precision of 0.01 foot, imply- <br />ing far more solution accuracy than that of the basic data. <br />The hydraulic engineer should be aware of the impact of <br />input data uncertainty relative to reliability of the compu- <br />tations. There are relatively few USGS discharge gages <br />having records rated as "excellent." This rating carries <br />an explanation that 95 percent of the daily discharge <br />values are within 5 percent of the "true" discharge (thus <br />5 percent are outside of that limit). "Good" records have <br />90 percent of the daily discharges within 10 percent. If <br />any specific discharge varies by 5 percent, the corre- <br />sponding stage could vary significantly depending on the <br />stream slope and geometry. Instantaneous peak dis- <br />charges presumably would be less accurate. Thus, a <br />potentially significant accuracy problem exists with the <br />basic data. <br /> <br />(1) Geometric data are more accurate than flow data; <br />however, some variation is still present, see U.S. Anny <br />Corps of Engineers (1989). If not located properly, cross <br />sections obtained by any technique may not be "represen- <br />tative" of the channel and floodplain reach for which <br />each section is used (see Appendix D). SignifICant errors <br />in water surface profile computations have occurred <br />when distances between cross sections were large. <br />Closer cross section spacings will improve the accuracy <br />of the proftle computations (i.e. the solution of the equa- <br />tions), but will not necessarily result in a better simula- <br />tion unless the sections are properly located 10 capture <br />the conveyance and storage in the reach. A more <br />detailed discussion of river geometry requirements is <br /> <br />EM 1110-2-1416 <br />15 Oct 93 <br /> <br />provided in Appendix D. The computer program <br />"Preliminary Analysis System for Water Surface Proftle <br />Computations (PAS)" is designed to assist with data <br />development for profile computations (U.S. Anny Corps <br />of Engineers 1988b). <br /> <br />(2) Sediment data have the most uncertainty, due <br />both 10 the difficulties in obtaining the measurements and <br />the incorporation of discharge and geometry measure- <br />ments in the calculation of sediment load. Sediment load <br />curves typically are the most important relationships in <br />sediment studies. This water discharge/sediment dis- <br />charge relationship should be sensitivity tested to evalu- <br />ate the consequences of an over- or under-estimate. <br /> <br />(3) Absolute statements as to the accuracy of fmal <br />hydraulic results should be tempered by an understanding <br />of the field data accuracy. The more accurate the fmal <br />hydraulics are required 10 be, the more accurate the data <br />collection must be. Sensitivity tests to evaluate possible <br />over- or under-estimates should be routinely made. <br /> <br />f. Hydraulic loss coefficients. Various energy loss <br />coeffICients are required for hydraulic studies. These <br />energy loss coefficients include channel and overbank <br />friction, expansion-contraction losses, bridge losses, and <br />miscellaneous losses. <br /> <br />(1) Manning's n. For the majority of hydraulic <br />studies, Manning's n is the most important of the hydrau- <br />lic loss coefficients (U.S. Anny Corps of Engineers <br />1986). The variation of water surface elevation along a <br />stream is largely a function of the boundary roughness <br />and the stream energy required to overcome friction <br />losses. Unfortunately, Manning's n can seldom be calcu- <br />lated directly with a great deal of accuracy. Gage <br />records offer the best source of information from which <br />10 calculate n for a reach of channel near a gage. These <br />calculations may identify an appropriate value of n for <br />the channel portion of the reach. Whether or not this <br />value is appropriate for other reaches of the study stream <br />is a decision for the hydraulic engineer. Determination <br />of overbank n values requires a detailed field inspection, <br />reference to observed flood profiles, use of appropriate <br />technical references, consultation with other hydraulic <br />engineers, and engineering judgment. For some streams, <br />n varies with the time of year. Studies on the Missouri <br />(U.S. Anny Corps of Engineers 1969) and Mississippi <br />Rivers have found that Manning's n is significantly less <br />in the winter than in warm weather for the same dis- <br />charge. If stages are 10 be predicted in the winter as well <br />as the summer, temperature effects must be addressed. <br />Similarly, many sand bed streams demonstrate a great <br /> <br />3-7 <br />