Modeling trace metal partitioning and speciation at the sediment-water interface using a chemical equilibrium model
Modeling trace metal partitioning and speciation at the sediment-water interface using a chemical equilibrium model
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使用化学平衡模型模拟沉积物-水界面的痕量金属分配和形态
DOI：
10.1016/j.marchem.2020.103775
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发表时间：
2020-04
期刊：
影响因子：
3
通讯作者：
Shi Xuefa
中科院分区：
文献类型：
--
作者：
Li Li;Zhang Cuiqin;Ren Yijun;Pala Franco;Wang Xiaojing;Zhen Xiaotong;Liu Jihua;Shi Xuefa
在好氧沉积物-水条件下，对中国近海沉积物进行了Pb、Cd、Zn的等温吸附实验。从吸附等温线确定的条件平衡常数（Kads）被认为是最强烈的相关性与锰氧化物（MnOx）的铅和镉，和颗粒有机碳（POC）的锌。在沉积物-水化学平衡模型（SCEM）中，MnOx和POC被用作金属结合相的替代物.测定了SCEM的表观平衡常数（βsed，Me_（？）），Pb（n=9）为109.56± 0.41，Zn（n=7）为105.25± 0.34，Cd（n=7）为106.51± 0.29。利用SCEM模型对锦州湾海水中的游离金属离子活度（{Me 2 +}）进行了预测。SCEM预测的{Me 2 +}与海水中Pb和Zn的实测值比较好。但预测值比实测值偏高，这可能反映了锦州湾海洋生物的解毒机制。总体而言，这种模式可以是非常有用的预测{Men+}在上覆沃茨的基础上的表面沉积物化学，并可以有助于沉积物质量准则的发展，将它们与相应的水质标准。
Isotherm adsorption experiments for Pb, Cd and Zn were carried out with coastal sediments from China under oxic sediment-water conditions. The conditional equilibrium constants (Kads) determined from the adsorption isotherms were found to be most strongly correlated with Mn oxides (MnOx) for Pb and Cd, and with particulate organic carbon (POC) for Zn. MnOxand POC were then used as the surrogate metal-binding phases in a sediment-water chemical equilibrium model (SCEM). The apparent equilibrium constants (βsed, Me⁎) of the SCEM were determined to be 109.56±0.41for Pb (n=9), 105.25±0.34for Zn (n=7), and 106.51±0.29for Cd (n=7). The SCEM was then used to predict the free metal ion activities ({Me2+}) in seawaters of Jinzhou Bay, China. The SCEM-predicted {Me2+} compared well with the measured ones for Pb and Zn in seawater. However, the predicted {Cd2+} was higher than measured, which may reflect a detoxification mechanism of marine organisms in Jinzhou Bay seawater. Overall, a model of this kind can be highly useful for predicting {Men+} in the overlying waters based on the surface sediment chemistry, and can contribute to the development of sediment quality guidelines by linking them with the corresponding water quality criteria.
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影响因子：
11.4
作者：
D. Costello;C. R. Hammerschmidt;G. A. Burton
通讯作者：
D. Costello;C. R. Hammerschmidt;G. A. Burton
影响因子：
8.9
作者：
E. Tipping;J. Rieuwerts;Gang Pan;Gang Pan;Mike Ashmore;S. Lofts;M.T.R. Hill;M. Farago;
通讯作者：
E. Tipping;J. Rieuwerts;Gang Pan;Gang Pan;Mike Ashmore;S. Lofts;M.T.R. Hill;M. Farago;
影响因子：
3.4
作者：
N. Zheng;Jing-shuang Liu;Qi-chao Wang;Zhongzhu Liang
通讯作者：
N. Zheng;Jing-shuang Liu;Qi-chao Wang;Zhongzhu Liang
影响因子：
5.2
作者：
R. Jakuba;M. Saito;J. Moffett;Yan Xu
通讯作者：
R. Jakuba;M. Saito;J. Moffett;Yan Xu
影响因子：
11.4
作者：
J. Vink
通讯作者：
J. Vink