Geo-acoustic modelling of late and postglacial sedimentary units in the Baltic Sea and their acoustic visibility

Geo-acoustic modelling of late and postglacial sedimentary units in the Baltic Sea and their acoustic visibility
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DOI:
10.1016/j.margeo.2016.03.015
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发表时间:
2016-06
期刊:
影响因子:
2.9
通讯作者:
M. Endler;R. Endler;J. Wunderlich;Bernd Bobertz;T. Leipe;M. Moros;J. Jensen;H. Arz
M. Endler;R. Endler;J. Wunderlich;Bernd Bobertz;T. Leipe;M. Moros;J. Jensen;H. Arz
中科院分区:
地球科学2区
文献类型:
--
作者:
M. Endler;R. Endler;J. Wunderlich;Bernd Bobertz;T. Leipe;M. Moros;J. Jensen;H. Arz

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Acoustic profiling methods are commonly used in the geosciences to obtain knowledge about the sedimentary structures of marine deposits. However, their interpretation and the correlation of acoustic reflectors with sedimentological boundaries remain difficult. The gradient in acoustic impedance determines the intensity of acoustic reflectors, which are not necessarily sedimentary boundaries. Suitable geo-acoustic models that cover a wide range of sediment types have not yet been developed for the Baltic Sea. Based on comprehensive investigations of sediment cores from Mecklenburg Bay and the Arkona Basin, we developed geo-acoustic models that enable the transfer of laboratory p-wave velocity measurements to in situ conditions while considering changes in pressure, salinity, temperature and the frequency dependence of the p-wave velocity (i.e. acoustic dispersion). This modelling allows the calculation of the wet bulk density and in situ p-wave velocity (from which the acoustic impedance is calculated) from core logging and selected sedimentological data, such as the water content, loss on ignition, and grain size. Precise plotting of core data into the acoustic profiles is now possible and represents a crucial step towards the interpretation of these profiles. Modelled p-wave velocities are used to convert two-way-travel-time to depth. The average sedimentological parameters for the different development phases of the Baltic Sea are calculated using geo-statistical methods and may allow for rough p-wave estimations if core logging data are not available.