4.7 Article

Spatial and temporal distribution of pollution indices in marine surface sediments-a chemometric approach

期刊

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 28, 期 31, 页码 42496-42515

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-13644-9

关键词

Heavy metals; Pollution indices; Sediment quality; Statistical analysis; Boka Kotorska Bay

资金

  1. Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-68/2020-14/200135]

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A variety of pollution indices were used to assess the contamination of different metal elements in the Boka Kotorska Bay, with Cd and Hg identified as the highest risks and Tivat bay as the most polluted area. The study also found a decreasing trend of Hg over time and highlighted the major concern of Cd in the Bay environment.
Concentrations of As, Cd, Cr, Cu, Hg, Mn, Ni, Pb, Zn, and Fe measured at forty locations in the Boka Kotorska Bay were used to monitor the spatial and temporal quality of sediment and to assess surface sediment contamination over the last 15 years. This ecological geochemistry assessment was made using two classes of pollution indices: single indices concerning the investigated elements (contamination factor (Cf)) and integrated indices concerning the locations (pollution load index (PLI), potential ecological risk index (RI), mean effects range median quotient (MERMQ), toxic risk index (TRI), contamination severity index (CSI)). The distribution of all indices was geostatistically mapped and several hotspots were identified. Based on the indices applied in the risk assessment, the mean contribution of individual metal species to the total risk was determined and presented in the following order: Cd > Hg > As > Pb > Ni > Cu > Cr > Zn. This study revealed that Cd and Hg were at the top of the risk list among the examined elements. The temporal distribution of Hg has shown a decreasing trend during the period 2005-2019, while the presence of Cd in the Bay environment is of major concern. The results revealed that the most polluted part of the investigated area was Tivat bay within the Boka Kotorska Bay. Multivariate statistical analysis of pollution indices resulted in multicollinearity, which enabled the use of a reduced number of indices with an acceptable risk estimation.

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