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discharge is not completely random, and it is clear that the amount of fines carried by the <br />Colorado River increases systematically with discharge. <br />A <br />a <br />• <br />9 <br />• <br />C <br />a <br />W <br />J <br />N <br /> SILT and CLAY • <br />• <br />06 • <br /> <br /> 4• ••• <br /> Z Po <br /> <br />10? 00 <br />• •? f <br />/- <br /> •; <br />• ?i <br />• <br /> y : <br />•• <br /> ••• _ <br />iii <br />103 /• <br />: <br /> • •• <br />• <br />02 • <br />• <br /> • <br /> ••• • rising <br /> • falling <br />0' 10` 10' <br />B <br /> SAND <br /> 106 <br /> •• i <br /> <br />.0 <br />e 10, <br />•?? <br />z <br />A <br /> <br />O <br />1 <br /> <br />103, • <br /> <br /> <br />• • <br /> <br />9 <br />C got <br />Nl • gg , <br />•• <br /> <br /> 102, <br />• <br /> • rising <br /> •? • falling <br /> <br />10', • <br />ud <br /> 10' 102 103 1 04 <br /> Discharge (m3/6) <br />Figure 16. Suspended sediment loads of the Colorado River, near Cameo, CO, weighted by the <br />proportion of (a) silt and clay and (b) sand in suspended sediment samples. <br />The right panel of Figure 16 shows that there is much less scatter in the relation between <br />discharge and sand load, as well as a clearer separation between rising-and falling-limb samples. <br />This observation suggests that sand transport rates are driven perhaps as much by hydraulics as <br />sediment supply. Least squares regression of the sand data yields the following relations: <br />Sand load, rising limb: Qs = 0.007Q^2.35 (r2 = 0.49) <br />Sand load, falling limb: Q, = 0.001 Q^2.44 (r2 = 0.74) <br />The exponents in the above relations are similar to each other and lie within the range of <br />values typically observed in alluvial rivers [Leopold and Maddock, 1953; Nordin and Beverage, <br />1965]. The difference in coefficients and the offset in sample values suggests one of two things: <br />(i) the sand supply is being depleted over time, thus the same discharge carries a lower sand load <br />36