TY - DATA ID - breitzke1996gsao T1 - Grain size analysis of sediment core GeoB1510-2 AU - Breitzke, Monika AU - Grobe, Hannes AU - Kuhn, Gerhard AU - Müller, Peter J PY - 1996/02/05/ T2 - In supplement to: Breitzke, M et al. (1996): Full waveform ultrasonic transmission seismograms: a fast new method for the determination of physical and sedimentological parameters of marine sediment cores. Journal of Geophysical Research: Solid Earth, 101(B10), 22123-22142, https://doi.org/10.1029/96JB01891 PB - PANGAEA DO - 10.1594/PANGAEA.50032 UR - https://doi.org/10.1594/PANGAEA.50032 N2 - Detailed information about the sediment properties and microstructure can be provided through the analysis of digital ultrasonic P wave seismograms recorded automatically during full waveform core logging. The physical parameter which predominantly affects the elastic wave propagation in water-saturated sediments is the P wave attenuation coefficient. The related sedimentological parameter is the grain size distribution. A set of high-resolution ultrasonic transmission seismograms (-50-500 kHz), which indicate downcore variations in the grain size by their signal shape and frequency content, are presented. Layers of coarse-grained foraminiferal ooze can be identified by highly attenuated P waves, whereas almost unattenuated waves are recorded in fine-grained areas of nannofossil ooze. Color -encoded pixel graphics of the seismograms and instantaneous frequencies present full waveform images of the lithology and attenuation. A modified spectral difference method is introduced to determine the attenuation coefficient and its power law a = kF. Applied to synthetic seismograms derived using a "constant Q" model, even low attenuation coefficients can be quantified. A downcore analysis gives an attenuation log which ranges from -700 dB/m at 400 kHz and a power of n=1-2 in coarse-grained sands to few decibels per meter and n :s; 0.5 in fine-grained clays. A least squares fit of a second degree polynomial describes the mutual relationship between the mean grain size and the attenuation coefficient. When it is used to predict the mean grain size, an almost perfect coincidence with the values derived from sedimentological measurements is achieved. ER -