Original scientific paper
Published in: Holistic Approach Environ. 6(2016) 1, pp. 3 – 16
Paper reference number: HAE-104
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Maša Buljac*, Danijela Bogner**, Marija Bralić*, Marina Barnjak*

* Faculty of Chemistry and Technology, University of Split, Split, Croatia

** Institute of Oceanography and Fisheries, Split, Croatia



The distributions of granulometric composition, organic matter and carbonate content were determined in the sediment core at three stations and in the samples from surface sediment at eight stations in Split area (eastern Adriatic Sea). According to average values, clay and silt particles prevail in the sediment core and surface sediment. Average values of organic matter content for the three stations were 7.6 ± 0.9 %, with range from 4.9 to 9.9 %. In the surface sediment, average values were 6.2 ± 1.8 %, with range from 3.9 to 8.9 %. In the sediment core samples average values of carbonate were 45.1 ± 4.6 %, with the range from 36.6 to 71.7 %, while average values of carbonate in surface sediment were 52.5 ± 8.2 %, with range from 41.1 to 66.5 %. According to the Folk classification, the sediment type at Stations 1 and 2 is mud, and at Station 3 slightly gravelly sandy muds. In the surface sediment, at the four stations, prevailing sediment type is mud, following slightly gravelly sandy mud (at three stations), while sandy mud was determined only at one station According to the Shepard classification in sediment core prevailing sediment type is silty clay, while in surface sediment, sediment type vary from silty clay (clayey silt mixture to silt). Very poorly (2.08) to extremely poorly sorted (6.85) sediment indicated different origin of settled particles (terrigenous and biogenous). The relationship between determined parameters in the sediment was established using the regression analysis (Spearman correlation and Cluster analysis). Results of the Cluster Analysis, using all the investigated parameters (granulometric composition, organic matter and carbonate content) confirmed the granulometric composition as a leading differentiation parameter between investigated sediments.

Keywords: granulometric composition, organic matter, carbonate, regression analysis