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pdf, 12 MiB - Infoscience - EPFL

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Chapter 3 - Theoretical considerations<br />

3.5.5 Conclusions<br />

There exists a fair number of scour formulae. The comparison of scour formulae with laboratory<br />

tests show that most of them underestimate the scour depth in an mountain rivers with a coarse<br />

sediment mixture. The formulae of PETER and REINDL overestimate the scour and the formula of<br />

BRIDGE gives on average a good prediction of the scour, yet with a significant scatter. If the maximum<br />

scour depth computed with existing scour formulae are corrected with a correction factor<br />

F C , good results can be obtained with the following equations: Peter, Zimmermann, van Bendegom,<br />

Falcon & Kennedy and Odgaard who all obtained correlations of more than R 2 = 0.70 .<br />

The correlations of the other formulae are smaller than R 2 = 0.60 . The correction factors as well<br />

as the correlations of the different formulae are given in Table 3.7.<br />

Despite a very good correlation, the formula of PETER should be used with caution, since it does<br />

not take into account the grain size. It is interesting that the frequently preconized formula of<br />

KIKKAWA ET AL. shows an important lack of prediction capability when applied to mountain<br />

rivers.<br />

The formula of BRIDGE needs no correction factor (1.0). This shows that, over a large number of<br />

tests, the average scour depth is quite well predicted. But the scatter of the different individual<br />

measurements is considerable and therefore the correlation is only 0.3. This shows that some<br />

essential parameters are neglected, despite good theoretical bases.<br />

Most formulae assume an exponential cross-section profile. But the tests show that the bed topography<br />

in radial direction is rather s-shaped.<br />

page 66 / November 9, 2002<br />

Wall roughness effects on flow and scouring

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