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Predicting metals partitioning in wastewater treatment plant influents

机译:预测废水处理厂进水口中的金属分配

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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 (log K_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.
机译:使用批次平衡金属吸收实验研究了重金属与初级污泥颗粒之间的相互作用。结果表明,主要污泥对金属的吸收受pH值的显着影响。建立了数学模型来描述金属分配随pH的变化。测定金属的吸附常数。结果表明,对于相同的金属离子,从不同位置和不同时间收集的一次污泥样品的金属吸附常数值处于相同的数量级。因此,使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(log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中的金属分配和初级处理过程中的金属去除。

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