Pool-Riffle Maintenance Mechanisms |
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![]() A pool-riffle sequence in the Black Water, New Forest, UK. |
The persistence of pool-riffle sequences as stable
morphologies in alluvial rivers is counter intuitive when one considers
that the highest velocities (and presumably most erosive energy) are
usually over riffles and the slowest velocities are often found in
nearby pools (Clifford and Richards, 1992). Yet pools appear to be
preserved by scour and riffles by deposition.
Geomorphic investigators have proposed a range of working hypotheses to explain the maintenance of pool-riffle sequences (Sear 1996). Keller's (1965; 1971) velocity reversal hypothesis and its offshoots (e.g. entrainment reversal, shear stress reversal) remain the most debated of these. |
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Others have
proposed more detailed mechanisms such as width constrictions at pool
heads giving rise to secondary flow structures (Thompson 1999 &
2001), sediment routing around pools (Booker et al. 2003), turbulent
bursts evacuating fines from riffles at low flows (Sear 1996) and
many variations.
A number of one-dimensional hydraulic simulations
have been undertaken in pool-riffle sequences to test for velocity-reversals
(e.g. Carling and Wood 1994; Keller and Florshiem 1993). More recently,
three-dimensional CFD simulations have been used to compare the evidence
for velocity-reversals in comparison to some of the more detailed
mechanisms mentioned above (e.g. Cao et al. 2003; Booker et al. 2003;
MacWilliams 2004). In collaboration with Micahel MacWilliams and Greg Pasternack, we undertook a side-by-side comparison of a 2D and 3D CFD model in Keller's (1965) Dry Creek. The study site was the orgin of the velocity-reversal hypothesis and we thought it would be interesting to explore the ability of both CFD codes to a) reproduce Keller's observed velocity reversal and b) make mechanistic inferences about processes responsible for maintaining pool-riffle sequences. The findings and our suggested flow convergence-routing hypothesis is reported in an article in Water Resources Research (MacWilliams, et al. 2006). |
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