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中国富营养化高原湖泊滇池沉积物中重金属的空间分布与风险评价。

Spatial distribution and risk assessment of heavy metals in sediments from a hypertrophic plateau lake Dianchi, China.

出版信息

Environ Monit Assess. 2014 Feb;186(2):1219-34. doi: 10.1007/s10661-013-3451-5.

Abstract

The sediment in Dianchi Lake, a hypereutrophic plateau lake in southwest China, was investigated and the concentration of heavy metals (Cu, Cr, Ni, Zn, Pb, Fe, Mn, and Cd) in the sediment and sediment properties were determined. Their spatial distribution and sources were analyzed using multivariate statistics. The result indicated that the studied metals exhibited three distinct spatial patterns; that is, Cu, Pb, Zn, and Ni had a similar distribution, with a concentration gradient from the north to the south part of the lake; Cd and Cr presented a similar distribution; Fe and Mn presented a quite different distribution than other metals, which indicated their different sources and geochemistry processes. Correlation and cluster analysis (CA) provided origin information on these metals and the CA result was observed corresponding to those three spatial patterns. Principal component analysis further displayed metal source and driving factors; that is, Cu, Pb, Zn, Ni, Cd, and Cr were mainly derived from anthropogenic sources, and Fe and Mn were mainly the result of natural processes. Sediment assessment was conducted using geoaccumulation index (Igeo), potential ecological risk indices, and USEPA guidelines. The result indicated that, generally, Cd was the most serious risk metal; Pb and Cu posed moderate potential ecological risk; Cr, Zn, and Ni had slight ecological risk; Fe and Mn had little risk. Comparison of the assessment tools showed that each of the methods had its limitation and could bias the result, and the combined use of the methodologies and local knowledge on lithology or metal background value of soil in the practice would give a more comprehensive understanding of the metal risk or pollution. Statistical analysis also indicated that nutrients had different impacts on Fe, Mn, and trace elements, which implied that in the assessment of metal risk, nutrients impact should be taken into consideration especially for eutrophic waters.

摘要

对中国西南地区富营养化高原湖泊滇池的沉积物进行了调查,测定了沉积物中重金属(Cu、Cr、Ni、Zn、Pb、Fe、Mn 和 Cd)的浓度和沉积物性质,并采用多元统计方法分析了其空间分布和来源。结果表明,研究的金属元素呈现出三种明显的空间分布模式:Cu、Pb、Zn 和 Ni 具有相似的分布特征,从湖泊的北部到南部呈现浓度梯度;Cd 和 Cr 具有相似的分布特征;Fe 和 Mn 的分布与其他金属明显不同,这表明它们的来源和地球化学过程不同。相关性和聚类分析(CA)为这些金属的来源提供了信息,CA 结果与这三种空间分布模式相对应。主成分分析进一步显示了金属的来源和驱动因素;即,Cu、Pb、Zn、Ni、Cd 和 Cr 主要来源于人为源,Fe 和 Mn 主要是自然过程的结果。采用地积累指数(Igeo)、潜在生态风险指数和 USEPA 指南对沉积物进行了评估。结果表明,一般来说,Cd 是最严重的风险金属;Pb 和 Cu 具有中等潜在生态风险;Cr、Zn 和 Ni 具有轻微的生态风险;Fe 和 Mn 风险较小。评估工具的比较表明,每种方法都有其局限性,可能会产生偏差,在实践中结合使用这些方法和当地对岩石学或土壤中金属背景值的了解,可以更全面地了解金属风险或污染。统计分析还表明,营养物质对 Fe、Mn 和微量元素有不同的影响,这意味着在评估金属风险时,特别是在富营养化水域,应考虑营养物质的影响。

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