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首页> 外文期刊>Journal of Geochemical Exploration: Journal of the Association of Exploration Geochemists >Sources and geochemical background of potentially toxic metals in surface sediments from the Zhejiang coastal mud area of the East China Sea
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Sources and geochemical background of potentially toxic metals in surface sediments from the Zhejiang coastal mud area of the East China Sea

机译:东海浙江沿海淤泥区表层沉积物中潜在有毒金属的来源和地球化学背景

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摘要

The geochemical background concentration (GBC) of potentially toxic metals in coastal surface sediments is a useful reference to assess the extent of sediment contamination caused by human activities. Using surface sediments collected from the Zhejiang coastal mud area of the East China Sea, a regional GBC function (GBCF) for potentially toxic metals in sediments was constructed based on statistical techniques. Principal component analysis (PCA) was utilized to identify potentially toxic metal sources. For potentially toxic metals of natural origin, the GBCF was developed by directly fitting concentration with Al2O3 in a linear regression model. For potentially toxic metals of anthropogenic origin, concentration data were normalized with Al2O3 to eliminate the influences of grain size and mineral, and cleaned by the cumulative distribution function before linear regression analyses. At each sampling station, the enrichment factor (EF) was modified by the corresponding GBC calculated from the GBCF, and was then applied to identify metal sources. The EF results were consistent with those of the PCA and correlation analyses, indicating that the GBCs of potentially toxic metals at each station were applicable. The approach used in this study will be useful for assessing potentially toxic metal pollution in sediment and managing sediment quality. (C) 2016 Elsevier B.V. All rights reserved.
机译:沿海表面沉积物中潜在有毒金属的地球化学背景浓度(GBC)对于评估人类活动造成的沉积物污染程度是一个有用的参考。利用从东海浙江沿海淤泥区收集的表层沉积物,基于统计技术,构建了沉积物中潜在有毒金属的区域GBC函数(GBCF)。主成分分析(PCA)用于识别潜在有毒的金属来源。对于天然来源的潜在有毒金属,通过在线性回归模型中直接用Al2O3拟合浓度来开发GBCF。对于人为来源的潜在有毒金属,使用Al2O3对浓度数据进行归一化以消除晶粒尺寸和矿物的影响,并在进行线性回归分析之前通过累积分布函数对其进行清理。在每个采样站,通过从GBCF计算出的相应GBC修改富集因子(EF),然后将其用于识别金属来源。 EF结果与PCA和相关分析的结果一致,表明适用于每个站点的潜在有毒金属的GBC。本研究中使用的方法将有助于评估沉积物中潜在的有毒金属污染并管理沉积物质量。 (C)2016 Elsevier B.V.保留所有权利。

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