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预测污水处理厂进水口的金属分配情况。

Predicting metals partitioning in wastewater treatment plant influents.

作者信息

Wang Jianmin, Huang C P, Allen Herbert E

机构信息

Department of Civil, Architectural & Environmental Engineering, University of Missouri-Rolla, 65409, USA.

出版信息

Water Res. 2006 Apr;40(7):1333-40. doi: 10.1016/j.watres.2005.12.044. Epub 2006 Mar 15.

Abstract

Interactions of heavy metals with primary sludge particulates were investigated using batch equilibrium metal uptake experiments. Results showed that metal uptake by primary sludge is significantly affected by pH. A mathematical model was developed to describe metals partitioning as a function of pH. The metal adsorption constants were determined. Results showed that for the same metal ion, the values of metal adsorption constants for primary sludge samples collected from different locations and at different times were in the same order of magnitude. Therefore, the adsorption constants were normalized and calibrated using field data. For Ag(I), Cd(II), Co(II), Cr(III), Cu(II), Ni(II), Pb(II), and Zn(II), the calibrated values of adsorption constants (logK(S)) are, respectively, 4.4, 5.1, 3.6, 4.5, 4.6, 3.6, 6.0, and 6.0. These constants can be used to predict the metal partitioning in plant influents and metal removal in primary treatment processes.

摘要

通过批次平衡金属吸收实验研究了重金属与初沉污泥颗粒的相互作用。结果表明,初沉污泥对金属的吸收受pH值显著影响。建立了一个数学模型来描述金属分配随pH值的变化。测定了金属吸附常数。结果表明,对于相同的金属离子,从不同地点和不同时间采集的初沉污泥样品的金属吸附常数数值处于同一数量级。因此,利用现场数据对吸附常数进行了归一化和校准。对于Ag(I)、Cd(II)、Co(II)、Cr(III)、Cu(II)、Ni(II)、Pb(II)和Zn(II),吸附常数的校准值(logK(S))分别为4.4、5.1、3.6、4.5、4.6、3.6、6.0和6.0。这些常数可用于预测工厂进水的金属分配和一级处理过程中的金属去除。

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