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响应面分析法优化Fe(Ⅲ)-亚硫酸盐去除废水中的砷

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吉冰冰, 于英潭, 肖玫, 张琳, 李进军, 吴峰. 响应面分析法优化Fe(Ⅲ)-亚硫酸盐去除废水中的砷[J]. 环境工程学报, 2016, 10(9): 4803-4807. doi: 10.12030/j.cjee.201504141
引用本文: 吉冰冰, 于英潭, 肖玫, 张琳, 李进军, 吴峰. 响应面分析法优化Fe(Ⅲ)-亚硫酸盐去除废水中的砷[J]. 环境工程学报, 2016, 10(9): 4803-4807. doi: 10.12030/j.cjee.201504141
shu
JI Bingbing, YU Yingtan, XIAO Mei, ZHANG Lin, LI Jinjun, WU Feng. Optimization for treatment of arsenic removal in wastewater by Fe(Ⅲ)-sulfite system using response surface methodology[J]. Chinese Journal of Environmental Engineering, 2016, 10(9): 4803-4807. doi: 10.12030/j.cjee.201504141
Citation: JI Bingbing, YU Yingtan, XIAO Mei, ZHANG Lin, LI Jinjun, WU Feng. Optimization for treatment of arsenic removal in wastewater by Fe(Ⅲ)-sulfite system using response surface methodology[J]. Chinese Journal of Environmental Engineering, 2016, 10(9): 4803-4807. doi: 10.12030/j.cjee.201504141
shu

响应面分析法优化Fe(Ⅲ)-亚硫酸盐去除废水中的砷

  • 1.

    武汉大学资源与环境科学学院, 武汉 430079

  • 基金项目:

    国家自然科学基金资助项目（21077080）

    武汉大学资源与环境科学学院实验中心地理环境综合调查开放实验资助项目（610400011）

  • 中图分类号: X703.1

Optimization for treatment of arsenic removal in wastewater by Fe(Ⅲ)-sulfite system using response surface methodology

  • 1.

    School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China

  • Fund Project:

  • 摘要: 利用Fe（Ⅲ）-亚硫酸盐体系对实际含砷酸性废水通过混凝-氧化-混凝工艺进行处理，并利用响应面分析法对工艺过程进行优化，结果发现二次多项式模型可以很好的模拟实验结果，根据模型所预测的最优条件是在氧化过程中pH为3.53、250 mL原液中Fe（Ⅲ）投加量为0.46 mmol、Na2SO3投加量为0.60 mmol，最终的响应值总砷去除率为90.70%，根据模型所预测的最优条件进行实验，得到总砷去除率实验值为93.90%，与模型预测值的相对偏差为3.53%。
    Abstract: The Fe(Ⅲ)-sulfite system was used to treat the arsenic acid wastewater through a coagulation-oxidation-coagulation process, and the response surface methodology (RSM) was used to optimize it. Results indicated that the quadratic polynomial model can simulate the experimental results quite well. According to the model, in the oxidation process, the predicted optimal conditions are pH of 3.53, Fe(Ⅲ) dosage of 0.46 mmol, and sulfite dosage of 0.60 mmol in a 250 mL solution, resulting in a final response of 90.70% in the total arsenic removal efficiency. Experiments under the optimal conditions predicted by the model reveal that the experimental total arsenic removal rate is 93.90%, and that the relative deviation to the predicted value is 3.53%.
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出版历程
  • 收稿日期:  2015-07-03
  • 刊出日期:  2016-09-10
吉冰冰, 于英潭, 肖玫, 张琳, 李进军, 吴峰. 响应面分析法优化Fe(Ⅲ)-亚硫酸盐去除废水中的砷[J]. 环境工程学报, 2016, 10(9): 4803-4807. doi: 10.12030/j.cjee.201504141
引用本文: 吉冰冰, 于英潭, 肖玫, 张琳, 李进军, 吴峰. 响应面分析法优化Fe(Ⅲ)-亚硫酸盐去除废水中的砷[J]. 环境工程学报, 2016, 10(9): 4803-4807. doi: 10.12030/j.cjee.201504141
shu
JI Bingbing, YU Yingtan, XIAO Mei, ZHANG Lin, LI Jinjun, WU Feng. Optimization for treatment of arsenic removal in wastewater by Fe(Ⅲ)-sulfite system using response surface methodology[J]. Chinese Journal of Environmental Engineering, 2016, 10(9): 4803-4807. doi: 10.12030/j.cjee.201504141
Citation: JI Bingbing, YU Yingtan, XIAO Mei, ZHANG Lin, LI Jinjun, WU Feng. Optimization for treatment of arsenic removal in wastewater by Fe(Ⅲ)-sulfite system using response surface methodology[J]. Chinese Journal of Environmental Engineering, 2016, 10(9): 4803-4807. doi: 10.12030/j.cjee.201504141
shu

响应面分析法优化Fe(Ⅲ)-亚硫酸盐去除废水中的砷

  • 1. 武汉大学资源与环境科学学院, 武汉 430079
  • 收稿日期:  2015-07-03
基金项目:

国家自然科学基金资助项目（21077080）

武汉大学资源与环境科学学院实验中心地理环境综合调查开放实验资助项目（610400011）

摘要: 利用Fe（Ⅲ）-亚硫酸盐体系对实际含砷酸性废水通过混凝-氧化-混凝工艺进行处理，并利用响应面分析法对工艺过程进行优化，结果发现二次多项式模型可以很好的模拟实验结果，根据模型所预测的最优条件是在氧化过程中pH为3.53、250 mL原液中Fe（Ⅲ）投加量为0.46 mmol、Na2SO3投加量为0.60 mmol，最终的响应值总砷去除率为90.70%，根据模型所预测的最优条件进行实验，得到总砷去除率实验值为93.90%，与模型预测值的相对偏差为3.53%。

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