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Modeling of arsenic removal from aqueous media using selected coagulants

机译:使用选定的凝结剂从水性介质中去除砷的模型

摘要

The waste water from the industrial production of the herbicide monosodium methyl arsenate was treated using coagulation. The coagulation process as developed in this research proved to be suitable for arsenic removal in aqueous media using chromium (III), calcium (II), and combination of calcium (II) and chromium (III), and magnesium (II). The results obtained suggest that the coagulation process can be used for the treatment of the waste water from the monosodium methyl arsenate production. Response surface methodology was used to study the effects of the various parameters, namely pH, mole ratios (Cr:As, Ca:As, and Mg:As), concentration of flocculent and initial arsenic concentration. To optimize the process conditions for the maximum removal of arsenic. Central composite and factorial designs were used to study the effects of these variables and to predict the effect of each. ANOVA was used to identify those factors which had significant effects on model quality and performance. The initial arsenic concentration appeared to be the only significant factor. These models were statistically tested and verified by confirmation experiments.
机译:使用混凝法处理工业生产的除草剂砷酸甲酯一钠的废水。这项研究中开发的凝结工艺证明适用于使用铬(III),钙(II)以及钙(II)和铬(III)和镁(II)的组合在水介质中去除砷。所获得的结果表明,混凝过程可用于处理砷酸甲酯钠生产中的废水。响应面方法用于研究各种参数的影响,即pH,摩尔比(Cr:As,Ca:As和Mg:As),絮凝剂浓度和初始砷浓度。优化工艺条件以最大程度地去除砷。中心复合和阶乘设计用于研究这些变量的影响并预测每个变量的影响。方差分析用于确定那些对模型质量和性能有重大影响的因素。最初的砷浓度似乎是唯一的重要因素。对这些模型进行了统计测试,并通过确认实验进行了验证。

著录项

  • 作者

    Majavu Avela;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
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