Abstract
A method of analysis of depth of closure and bed variability is presented in the study. Statistical analysis of measurements showed standardized depths are gaussian random variables Repetitive measurements revealed peaked patterns of standard deviation of depth change and range between extreme measurements. They were approximated by a smooth functional type inform of a sum of exponential curves. The peaks were then associated with both the corresponding time scales and locations of bed features. The patterns can thus be used to identify segments of beach profiles controlled by events typical of given time scales The tail of the outermost peak was extrapolated to evaluate decadal depth of closure.
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