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印度东海岸河口沉积物和表层水中重金属的生态风险调查及比较分析。

Investigation and comparative analysis of ecological risk for heavy metals in sediment and surface water in east coast estuaries of India.

机构信息

Lovely Professional University, Punjab, India.

Lovely Professional University, Punjab, India.

出版信息

Mar Pollut Bull. 2023 May;190:114894. doi: 10.1016/j.marpolbul.2023.114894. Epub 2023 Apr 3.

Abstract

The sediments and surface water from 8 stations each from Dhamara and Paradeep estuarine areas were sampled for investigation of heavy metals, Cd, Cu, Pb, Mn, Ni, Zn, Fe, and Cr contamination. The objective of the sediment and surface water characterization is to find the existing spatial and temporal intercorrelation. The sediment accumulation index (I), enrichment index (I), ecological risk index (I) and probability heavy metals (p-HMI) reveal the contamination status with Mn, Ni, Zn, Cr, and Cu showing permissible (0 ≤ I ≤ 1, I ˂ 2, I ≤ 150) to moderate (1 ≤ I ≤ 2, 40 ≤ R ≤ 80) contamination. The p-HMI reflects the range from excellent (p-HMI = 14.89-14.54) to fair (p-HMI = 22.31-26.56) in off shore stations of the estuary. The spatial patterns of the heavy metals load index (I) along the coast lines indicate that the pollution hotspots are progressively divulged to trace metals pollution over time. Heavy metal source analysis coupled with correlation analysis and principal component analysis (PCA) was used as a data reduction technique, which reveals that the heavy metal pollution in marine coastline might originate from redox reactions (FeMn coupling) and anthropogenic sources.

摘要

从达马拉和帕莱迪普河口区的 8 个站点采集沉积物和地表水样本,以调查重金属、Cd、Cu、Pb、Mn、Ni、Zn、Fe 和 Cr 的污染情况。沉积物和地表水特征描述的目的是发现现有的空间和时间相互关系。沉积物积累指数(I)、富集指数(I)、生态风险指数(I)和概率重金属(p-HMI)揭示了 Mn、Ni、Zn、Cr 和 Cu 的污染状况,表明处于可接受(0≤I≤1,I<2,I≤150)到中等(1≤I≤2,40≤R≤80)污染程度。p-HMI 反映了河口近海站的范围从优秀(p-HMI=14.89-14.54)到良好(p-HMI=22.31-26.56)。重金属负荷指数(I)沿海岸线的空间模式表明,随着时间的推移,污染热点逐渐向痕量金属污染扩散。重金属源分析与相关性分析和主成分分析(PCA)相结合,被用作数据降维技术,该技术表明,海洋海岸线的重金属污染可能源于氧化还原反应(FeMn 耦合)和人为源。

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