The Payra River, cicual for fish breeding, feeding and nursery in coastal Bangladesh, faces heavy contamination from industrial activities, agricultural runoff and poor waste management. This study used ICP-MS to assess metal contamination levels, risk status and potential sources in river sediment. The findings showed that the mean concentrations (mg/kg) of metals followed the decreasing order: Mn (434.24±75.91)>Zn (66.42±12.86)>Cr (44.59±8.98)>Ni (40.30±7.43)>Cu (34.07±6.84)>Co (15.72±2.84)>Pb (14.60±5.56)>As (4.70±0.72)>Hg (0.28±0.21)>Cd (0.10±0.03) with Mn significantly exceeding the recommended guidelines. Although contamination factors (CF<1) and the pollution load index (PLI<1) indicated low pollution, Hg and Cd posed greater ecological risks. However, the Risk Index (RI<150) showed overall low pollution risk. Sediment ranged from uncontaminated to moderately contaminated (Igeo=0-1). Non-carcinogenic risks were minimal (HQ<1), but children were more vulnerable to As (HI=2.40E-01) and Cr (HI=2.17E-01). Carcinogenic risks were also higher for children, particularly from As (CR=8.37E-06) and Pb (CR=6.10E-06). Pearson correlation, principal component analysis (PCA), cluster analysis (CA) and spatial analyses indicated shared sources for As, Hg, and Cd, with Mn likely from different sources. The PMF model identified three pollution sources: natural agricultural activities (23.7%), anthropogenic activities (54.43%), and industrial activities (23.74%).
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