We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Diatom-based estimation of sea surface salinity in the south Baltic Sea and Kattegat.
- Authors
Kotrys, Bartosz; Tomczak, Michal; Witkowski, Andrzej; Harff, Jan; Seidler, Jan
- Abstract
The new diatom-based sea-surface salinity (SSS) estimation has been applied to a collection of 27 taxa in 48 present-day sediment and surface water samples recovered in the Baltic Sea and Kattegat. The sediment core 303610-12 (2005) from the Eastern Gotland was chosen for the study of the Holocene sequence spanning the past 8160 yrs BP. The Artificial Neuronal Network (ANN) method provided an estimation of spring (March- April) SSS values ranging between 7.04-8.25 ‰. The low amplitude of salinity change might be caused by mixing of fresh water with upper surface layer of the Baltic Sea due to high precipitation and riverine input. These findings were compared with independent geochemical proxies for salinity (K, Ti and S) derived from XRF Core Scanner record. Significant correlation between salinity and sulphur records and an inverse correlation between K and Ti demonstrate that the ANN method, when combined with quantitative and qualitative analyses of diatoms, provides a useful tool for palaeo-salinity reconstructions from the Holocene sediments of the Baltic Sea.
- Subjects
SEAWATER salinity; MEASUREMENT of salinity; DIATOMS; ARTIFICIAL neural networks; ESTIMATION theory
- Publication
Baltica, 2014, Vol 27, Issue 2, p131
- ISSN
0067-3064
- Publication type
Article
- DOI
10.5200/baltica.2014.27.22