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Thickness of marine Holocene sediment in the Gulf of Trieste (northern Adriatic Sea)
We use various geophysical datasets (multibeam and singlebeam echosounder data, sub-bottom profiling Chirp and sonar data and very high-resolution boomer seismic data) along with published sedimentological data and depth data from nautical charts in order to create models of the depth of the seafloo...
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Published in: | Earth system science data 2018-06, Vol.10 (2), p.1077-1092 |
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Main Authors: | , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We use various geophysical datasets (multibeam and singlebeam echosounder
data, sub-bottom profiling Chirp and sonar data and very high-resolution
boomer seismic data) along with published sedimentological data and depth
data from nautical charts in order to create models of the depth of the
seafloor and the base of Holocene marine sediment in the Gulf of Trieste. The
two models are later used in order to calculate the thickness of marine
Holocene sediment which has been depositing on the Late Pleistocene alluvial
plain since the Holocene transgression in the Italian and Slovenian parts of
the gulf. Thicker Holocene marine sedimentary sequences averaging at around
5 m are characteristic for the southeastern part of the gulf. In other parts
of the gulf the Holocene marine sedimentary cover is very thin or even
absent, except in close proximity to the shoreline and fluvial sediment
sources, in the area of the Trezza Grande paleodelta and above topographic
depressions of the Late Pleistocene base. The presented datasets available
from the OGS SNAP data repository (http://doi.org/cpz2) represent a
valuable reference for a wide variety of research disciplines dealing with
the dynamic Earth system in the Gulf of Trieste and could be used as a
valuable tool for designing sampling and geophysical campaigns in the studied
area. |
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ISSN: | 1866-3516 1866-3508 1866-3516 |
DOI: | 10.5194/essd-10-1077-2018 |