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1 March 2008 The A and m Coefficients in the Bruun/Dean Equilibrium Profile Equation Seen from the Arctic
Feliks Are, Erk Reimnitz
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Abstract

The Bruun/Dean relation between water depth and distance from the shore with a constant profile shape factor is widely used to describe shoreface profiles in temperate environments. However, it has been shown that the sediment scale parameter (A) and the profile shape factor (m) are interrelated variables. An analysis of 63 Arctic erosional shoreface profiles shows that both coefficients are highly variable. Relative frequency of the average m value is only 16% by the class width 0.1. No other m value frequency exceeds 21%. Therefore, there is insufficient reason to use average m to characterize Arctic shoreface profile shape. The shape of each profile has a definite combination of A and m values. Coefficients A and m show a distinct inverse relationship, as in temperate climate. A dependence of m values on coastal sediment grain size is seen, and m decreases with increasing grain size. With constant m = 0.67, parameter A obtains a dimension unit m1/3. But A equals the water depth in meters 1 m from the water edge. This fact and the variability of parameter m testify that the Bruun/Dean equation is essentially an empirical formula. There is no need to give any measurement unit to parameter A. But the International System of Units (SI) has to be used in applying the Bruun/Dean equation for shoreface profiles. A comparison of the shape of Arctic shoreface profiles with those of temperate environments shows surprising similarity. Therefore, the conclusions reached in this Arctic paper seem to apply also to temperate environments.

Feliks Are and Erk Reimnitz "The A and m Coefficients in the Bruun/Dean Equilibrium Profile Equation Seen from the Arctic," Journal of Coastal Research 24(sp2), 243-249, (1 March 2008). https://doi.org/10.2112/05-0572.1
Received: 6 August 2005; Accepted: 20 December 2006; Published: 1 March 2008
KEYWORDS
mathematical description
Shoreface profile shape
variability
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