bed material size to represent the total bed. Single-grain-size functions are most
appropriate in cases where equilibrium sediment transport can be assumed, i.e.,
when the project will not significantly change the existing hydraulic or sediment
conditions. When the purpose of the sediment study is to evaluate the effect of a
project on sediment transport characteristics, i.e., the project or a flood will
introduce non-equilibrium conditions, then a multiple-grain-size sediment
transport function should be used. Multiple-grain-size functions are very
sensitive to the grain-size distribution of the bed material. Extreme care must be
exercised in order to ensure that the fine component of the bed-material gradation
is representative of the bed surface for the specified discharge. This is very
difficult without measured data. For this reason Einstein (1950) recommended
ignoring the finest 10 percent of the bed material sample for computation of bed-
material load with a multiple-grain-size function. In HEC-6 and SAM, single-
grain-size functions are converted to multiple-grain-size functions simply by
calculating sediment transport using geometric mean diameters for each size class
in the bed (sediment transport potential) and then assuming that transport of that
size class (sediment transport capacity) can be obtained by multiplying the
sediment transport potential by the bed fraction. This can produce unreliable
results since the assumption is that each size class fraction in the bed acts
independent of other size classes on the bed, thus ignoring the effects of hiding.
Description
SAM.aid is based on the premise that a sediment transport function that
accurately predicts measured sediment in a gaged stream would be an appropriate
predictor in an ungaged stream with similar characteristics. SAM.aid compares
calculated "screening parameters" for a given river to the same screening
parameters from a database of rivers (Brownlie, 1981) that have sufficient
sediment data to determine an appropriate sediment transport function. The
"screening parameters" are velocity, depth, slope, width, and d50. It should be
noted that Brownlie reduced measured bed material gradations to median grain
sizes and geometric standard deviations. This means that this guidance is not
applicable to rivers that have bed gradations that are not log-normally distributed.
When the user inputs velocity, depth, slope, width and d50 for an ungaged
river, SAM.aid compares each of these screening parameters with those of each
river in the Brownlie database. A "match" is identified when a parameter falls
within the range of data for a database river. The d50 must fall within the range
for a river in the database before SAM.aid will examine the other parameters.
The three best sediment transport functions for each database river is then listed,
along with the type of parameter(s) that matched and the name of the data set
matched.
After the matches are displayed, the user can check the description of the
rivers on which SAM.aid based its choices to see how close those descriptions
match the user's river or stream. This is an essential step in ensuring that the
sediment transport functions will actually provide the best predictive capability
for the river in question. This will also narrow the choices when SAM.aid
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Chapter 5
Theoretical Basis for SAM.aid