Geochemistry of Metals and Organic Matter in Water and Sediments of the Karst River Cetina, Croatia

Maldini, Krešimir; Cukrov, Neven; Pikelj, Kristina; Matić, Natalija; Mlakar, Marina (2023) Geochemistry of Metals and Organic Matter in Water and Sediments of the Karst River Cetina, Croatia. Water, 15 . ISSN 2073-4441

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Abstract

The Cetina River Basin (CRB) belongs to a Dinaric karst area (Croatia). According to the obtained results on water and sediment quality, the Cetina River reaches the sixth goal of Sustainable Development (source of drinking water). Together with the CRB water quality assessment, it was confirmed that sediments undoubtedly contribute to the purification of watercourses from trace metals as well as organic matter. In 5 years, water samples were collected at 20 sampling sites and sediment samples were collected at 18 sampling sites. The freshwater of the Cetina River belongs to the hydrocarbonate type due to its lithology. The concentrations of the measured elements in the sediments, normalized to Al, are an indicator of possible pressures affecting the ecosystem of the river. According to the Principal Component Analysis (PCA) for elements in sediments, Principal Component 1 (PC1) describes the geogenic origin of the elements, while Principal Component 2 (PC2) describes positive values reflecting anthropogenic pressures (Total Nitrogen, TN ; and Total Phosphorus, TP). Depending on element composition, the factor scores related to PC1 and PC2 resulted in four different groups of sites. The first three groups of sediments showed geological impact, while the fourth group was partially anthropogenic in origin. The hierarchical cluster analysis showed four clusters in relation to the content of the elements. Cluster analysis of all elements and the Total Organic Carbon (TOC) in the sediments showed grouping in only two clusters, the first cluster consisting of Ca, and the second of TOC with other elements.

Item Type:	Article
Uncontrolled Keywords:	trace metals ; sediment quality ; karst river ; multivariate statistical analysis ; cluster analysis
Subjects:	NATURAL SCIENCES > Interdisciplinary Natural Sciences
Divisions:	Division for Marine and Enviromental Research
Depositing User:	Neven Cukrov
Date Deposited:	21 Jun 2023 11:23
URI:	http://fulir.irb.hr/id/eprint/8055
DOI:	10.3390/w15071429

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