EROSION 6.31
6.11.5 Estimating Sediment Delivery Ratio
While established methods are available for estimating the rate of erosion from farm-size
areas, there is no generally accepted method for determining the percentage of eroded
sediment that will be delivered to the basin outlet. Haan et al. (1994) pointed out that the
degree of understanding of sediment delivery ratios is probably less than any other area
of sedimentation.
Within some physiographic regions, a power relationship may be developed between
delivery ratio and basin area which plots as a straight line on log-log paper. For example,
the dataset presented by Renfro (1975) for the Blackland Prairie area in Texas produces
an equation for percent sediment delivery ratio (SDR) in the form SDR = 62.1 (area)
-0.1419
for areas from 1 to 250 km
2
. Boyce (1975) stated that the relationship of sediment-yield
to drainage area usually differs from the sediment-delivery to drainage area relationship
by only a constant, and summarized several relationships for sediment delivery ratio (Fig.
6.15). In regions having uniform landforms and the data required to construct a regional
relationship, this can represent a reliable approach available for estimating sediment
delivery. However, generalized delivery ratio versus area curves do not take into account
topographic, geologic, climatic, land use, and other differences that affect delivery ratios,
and caution must be used to apply these relationships only to landscapes similar to those
for which the relationship was developed. When estimating sediment yield based on
delivery ratio data from other watersheds, compare conditions in the watersheds to look
for conditions such as reservoirs (including farm ponds) which may significantly
influence delivery ratios. Where an upstream reservoir is present, the sediment delivery
may be computed to the reservoir, and the sediment discharge below the reservoir
computed on the basis of sediment release efficiency determined from the Brune curve.
Problems will arise if this method is used to assign delivery ratios to sub-watersheds,
since the sum of the delivered sediment from the sub-watersheds will exceed that
computed for the entire basin.
Some researchers have estimated delivery ratios based on a description of channel or
land use conditions. In the Ryan Gulch basin in northwestern Colorado, a semiarid
undeveloped watershed receiving 330 to 510 mm of average annual rainfall moving from
an elevation of 1860 to 2620 m, Hadley and Shown (1976) developed the sediment
delivery ratios given in Table 6.5. For a suburban basin in Wisconsin, Novotny et al.
(1979) presented the delivery ratio guidelines given in Table 6.6.
The U.S. Forest Service (1980) has developed a method to estimate sediment delivery
ratio for a single storm based on USLE/RUSLE estimates of erosion, using the stiff
diagram shown in Fig. 6.16. The surface runoff term (ft
3
/s/ft) represents peak discharge
per unit of slope width. The texture of eroded material is expressed as the percentage that
is smaller than sand. Ground cover factor is the percentage ground cover between the
erosion source and the nearest channel and includes both living plants and litter, with a
value of zero corresponding to bare soil. The slope shape between the source area and the
nearest channel is defined as 0 for a convex slope, and 4 for a concave slope, which has a
greater tendency to trap sediment. Delivery distance is measured from the source area to
the channel. Surface roughness values for the soil are assigned on a subjective basis with
using 0 for a smooth surface and 4 for a very rough surface. Slope gradient is the average
slope from the source area to the nearest channel. After all the values have been plotted
on each axis, the plotted points are connected to form a polygon and the percentage of the
total area of the rectangle contained within the polygon is measured. This percentage area
from the stiff diagram is applied to the curve in Fig. 6.17 to determine the sediment
delivery ratio. This procedure applies only to the sheet erosion processes predicted by the
USLE/RUSLE model for small land management units. Channel erosion, including
roads, is often the primary erosion source in forests and must be analyzed separately, as