Post-glacial sediment dynamics in the Irish Sea and sediment wave morphology: Data-model comparisons

Katrien J.J. Van Landeghem, Katsuto Uehara, Andrew J. Wheeler, Neil C. Mitchell, James D. Scourse

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

The irregular seafloor of the narrow Irish Sea on the NW European Shelf has been documented over several decades. From recently collected swath bathymetry data, very large trochoidal, nearly symmetrical sediment waves are observed in many parts of the Irish Sea and appear similar to those described from other continental shelf seas in North America that were covered by glacigenic sediments during the Last Glacial Maximum. Swath multibeam and single beam bathymetry data, backscatter intensity, shallow seismic imagery, video footage and sediment cores from the Irish Sea high sediment waves have been integrated to identify their genesis with reference to present and past hydrodynamic variability. From cross-sectional profiles over asymmetrical sediment waves in the Irish Sea the direction of asymmetry is used to map residual bed stress directions and associated bedload transport paths. Irish Sea peak bed stress vectors were generated using a two-dimensional palaeo-tidal model for the NW European shelf seas and compare well with the observations. Tidally induced bed stresses are modelled to have increased between 7-10 ka BP, to be nearly symmetrical in magnitude and to have reversed in dominant direction on a millennial scale. These environmental conditions during the post-glacial marine transgression are suggested here to help comprehend the construction of the very large sediment waves, with local variations due to differences in sediment grain size, sediment supply, water depth and intensified currents due to seafloor slopes. Model parameterisation using an open ocean boundary with time-dependent tidal changes and the implementation of high-resolution bathymetric information will improve future models of small-scale bed shear stress patterns and improve the predictive value of such modelling efforts.

Original languageEnglish
Pages (from-to)1723-1736
Number of pages14
JournalContinental Shelf Research
Volume29
Issue number14
DOIs
Publication statusPublished - Jul 30 2009
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Aquatic Science
  • Geology

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