Comprehensive risk assessment of metals in surface sediments of the Southern Black Sea coastal and transition waters
This study was carried out to determine metal levels accumulated in the sediments collected from the transitional and coastal waters of the southern Black Sea. Samples were taken from 32 stations in May and September 2018. The concentrations of elements were measured by an Inductively Coupled Plasma...
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Published in | Regional studies in marine science Vol. 75; p. 103561 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.10.2024
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Subjects | |
Online Access | Get full text |
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Summary: | This study was carried out to determine metal levels accumulated in the sediments collected from the transitional and coastal waters of the southern Black Sea. Samples were taken from 32 stations in May and September 2018. The concentrations of elements were measured by an Inductively Coupled Plasma Mass Spectrophotometer (ICP-MS). Enrichment Factor (EF), Geo-accumulation Index (Igeo), Pollution Load Index (PLI), Contamination Factor (Cf), and Modified Degree of Contamination (mCd) were applied to the data for assessing the sediment quality. Associations between the variables were also revealed by factor analysis. Igeo of metals are obtained in coastal sediments only when Hg in May and Cr in September are classified as moderately polluted. PLIs exceeded one at stations in the industrial zone, indicating getting worse. It is necessary to prevent pollution from industrial, domestic, and agricultural sources and to control agricultural lands.
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•Metal levels were determined in the sediments from the transition and coastal waters of the southern Black Sea in May and September 2018.•Concentrations of elements (Al, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Cd, Hg and Pb) were measured by Inductively Coupled Plasma Mass Spectrophotometer (ICP-MS, Agilent 7700X).•Enrichment Factor (EF), Geo-accumulation Index (Igeo), Pollution Load Index (PLI), Contamination Factor (Cf), and Modified Degree of Contamination (mCd) were applied to the data for assessing the sediment quality. |
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ISSN: | 2352-4855 2352-4855 |
DOI: | 10.1016/j.rsma.2024.103561 |