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Analysis and pattern mapping of organic interfaces by means of seismic geophysical technologies to investigate archaeological palaeolandscapes beneath the Southern North Sea
Fraser, Andrew I.
Fraser, Andrew I.
Publication Date
2021
End of Embargo
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The University of Bradford theses are licenced under a Creative Commons Licence.
Peer-Reviewed
Open Access status
Accepted for publication
Institution
University of Bradford
Department
Department of Archaeological & Forensic Sciences. School of Life Sciences
Awarded
2021
Embargo end date
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Abstract
Investigating the archaeology of submerged landscapes beneath many
metres of sea and buried under modern sands requires an understanding
of the terrestrial surface as it may have been prior to the inundation. To do
this, environmental evidence is required from contextualised in-situ
locations and the best material evidence for preservation of archaeology,
organic remains, dating proxies, pollen, diatoms, microfossils, coleoptera
etc. is peat.
This research supports the search for peat in submarine environments by
interpreting seismic surveys of the sub-sea floor and analysing reflective
signals for distinctive organic responses. By means of sedimental analysis
and ground observation, the research sets out to differentiate between
organic signals, to allow for the identification and location of shallow peat
beds within features of a palaeolandscape. Using these results should
provide an opportunity to target such peat beds in an archaeologically
focused coring programme.
The research also examines ways in which organic responses may be
mapped over larger areas in order to integrate the results into a wider
scale landscape model identifying potential peatland, marsh, valley fen
and lowland areas.
Finally, the research introduces an artificial intelligence neural networking
technology for the identification of organic interfaces in seismic surveys,
examining three different ways in which this could be accomplished using
specialist computer tools and software.
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Type
Thesis
Qualification name
PhD