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Sandwave migration predictor based on shape information

Sandwave migration predictor based on shape information
Sandwave migration predictor based on shape information
Migration of offshore seabed waves, which endangers the stability of pipelines and communication cables, is hard to measure. The migration rates are small compared to the measurement errors. Here, sand wave migration rates are determined from the change in the crest position deduced from long time series of bathymetric echo-sounding data. The crests are identified as local extremes in a bathymetric profile, after low-pass filtering. This approach is applied to both 2-dimensional data and to profiles along pipelines. A consistent migration rate of several meters per year is found. A strong correlation between the sand wave shape and the migration rate is translated in a migration predictor. The predictor assumes that the sand waves migrate in the direction of the steepest slope, following a quadratic relation with the asymmetry. Furthermore it is included that longer waves travel faster but higher waves travel slower. The predictor is calibrated against data from nine areas and validated using three additional areas. An error analysis using markers shows that the error of the predictor is small compared to the noise in the individual crest position observations.
seabed dynamics, sandwaves, data analysis, prediction, dune migration, North sea
0148-0227
F04S11
Knaapen, M.A.F.
32abd748-aa55-4180-a3f3-d3315e122fb1
Knaapen, M.A.F.
32abd748-aa55-4180-a3f3-d3315e122fb1

Knaapen, M.A.F. (2005) Sandwave migration predictor based on shape information. Journal of Geophysical Research, 110 (F4), F04S11. (doi:10.1029/2004JF000195).

Record type: Article

Abstract

Migration of offshore seabed waves, which endangers the stability of pipelines and communication cables, is hard to measure. The migration rates are small compared to the measurement errors. Here, sand wave migration rates are determined from the change in the crest position deduced from long time series of bathymetric echo-sounding data. The crests are identified as local extremes in a bathymetric profile, after low-pass filtering. This approach is applied to both 2-dimensional data and to profiles along pipelines. A consistent migration rate of several meters per year is found. A strong correlation between the sand wave shape and the migration rate is translated in a migration predictor. The predictor assumes that the sand waves migrate in the direction of the steepest slope, following a quadratic relation with the asymmetry. Furthermore it is included that longer waves travel faster but higher waves travel slower. The predictor is calibrated against data from nine areas and validated using three additional areas. An error analysis using markers shows that the error of the predictor is small compared to the noise in the individual crest position observations.

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More information

Published date: 4 October 2005
Keywords: seabed dynamics, sandwaves, data analysis, prediction, dune migration, North sea
Organisations: Ocean and Earth Science, Civil Engineering & the Environment

Identifiers

Local EPrints ID: 75813
URI: https://eprints.soton.ac.uk/id/eprint/75813
ISSN: 0148-0227
PURE UUID: 6afcc63b-91f5-4b3d-8b3a-a8a3b888e8a6

Catalogue record

Date deposited: 11 Mar 2010
Last modified: 18 Jul 2017 23:42

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