4.6 Article

Environmental Assessment of Surface Seawater in Al-Uqair Coastline, Eastern Saudi Arabia

Journal

WATER
Volume 14, Issue 21, Pages -

Publisher

MDPI
DOI: 10.3390/w14213423

Keywords

heavy-metal contamination; surface seawaters; Arabian Gulf; Saudi Arabia

Funding

  1. Abdullah Alrushaid Chair for Earth Science Remote Sensing Research, Geology and Geophysics Department, King Saud University, Saudi Arabia

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This study used pollution indices and multivariate statistical analyses to analyze seawater samples collected from the Al-Uqair coastline, Arabian Gulf, Saudi Arabia. It found high-level heavy metal concentrations and identified potential polluters. The study revealed that anthropogenic factors have an increasing impact on the pollution of certain metals, while natural factors have a greater influence on others.
The contamination of seawater with anthropogenic factors is a global challenge because of its negative impacts on marine environments and coastal societies. Therefore, assessing water contamination is crucial. The present work uses pollution indices and multivariate statistical analyses to document high-level heavy metal concentrations and identify potential polluters by analyzing 35 seawater samples collected from Al-Uqair coastline, Arabian Gulf, Saudi Arabia. The total content of heavy metals (HMs) (mu g/L) ranged from 7109 to 7398 for Sr, 7.00-14.50 for Cr, 3.30-9.90 for Zn, 3.00-8.80 for Fe, 4.40-7.60 for As, 1.20-6.90 for Ni, 2.30-4.70 for V, 1.10-3.80 for Cu, 2.50-3.10 for Se, 0.31-1.43 for Al, 0.18-1.10 for Hg, 0.04-0.08 for Cd, 0.09-0.43 for Pb, and 0.02-0.10 for Sb. The recorded average concentrations of HMs were below the maximal admissible concentration of the World Health Organization (WHO). The heavy-metal pollution index (HPI) indicates that 14.29% of the water samples were below medium pollution, and 85.71% were below high pollution. All seawater samples were categorized under low contamination and good water on the basis of the degree of contamination (Cd) and water pollution index (PIj), respectively. Multivariate analysis indicates mixed anthropogenic and natural sources for the investigated metals, with increasing control of the anthropogenic factors for Cr, Zn, As, V, Ni, Se, Cu, Hg, Pb, Sb, and Cd; and the control of natural factors for Sr, Fe, and Al.

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