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首页> 外文期刊>Journal of environmental sciences >Phosphate recovery with granular acid-activated neutralized red mud: Fixed-bed column performance and breakthrough curve modelling
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Phosphate recovery with granular acid-activated neutralized red mud: Fixed-bed column performance and breakthrough curve modelling

机译:用粒状酸活化中和红泥浆磷酸盐回收:固定床柱性能和突破性曲线建模

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摘要

Granular acid-activated neutralized red mud (AaN-RM) has been successfully prepared with good chemical stability and physical strength. However, its potential for industrial application remains unknown. Therefore, the performance of granular AaN-RM for phosphate recovery in a fixed-bed column was investigated. The results demonstrated that the phosphate adsorption performance of granular AaN-RM in a fixed-bed column was affected by various operational parameters, such as the bed depth, flow rate, initial solution pH and initial phosphate concentration. With the optimal empty-bed contact time (EBCT) of 24.27 min, the number of processed bed volumes and the phosphate adsorption capacity reached 496.95 and 84.80 mg/g, respectively. Then, the saturated fixed-bed column could be effectively regenerated with a 0.5 mol/L HCl solution. The desorption efficiency remained as high as 83.45% with a low weight loss of 3.57% in the fifth regeneration cycle. In addition, breakthrough curve modelling showed that a 5-9-1 feed-forward artificial neural network (ANN) could be effectively applied for the optimization of the fixed-bed adsorption system; the coefficient of determination (R-2) and the root mean square error (RMSE) evaluated on the validation-testing data were 0.9987 and 0.0183, respectively. Therefore, granular AaN-RM fixed-bed adsorption exhibits promising potential for phosphate removal and recovery from polluted water. (C) 2019 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
机译:以良好的化学稳定性和物理强度成功地制备了粒状酸活化中和的红泥(AAN-RM)。然而,其对工业应用的潜力仍然是未知的。因此,研究了用于磷酸盐在固定床柱中磷酸盐回收的粒状AAN-RM的性能。结果表明,固定床柱中粒状AAN-RM的磷酸盐吸附性能受各种操作参数的影响,例如床深度,流速,初始溶液pH和初始磷酸浓度。具有24.27分钟的最佳空床接触时间(EBCT),分别加工床体积的数量和磷酸盐吸附能力分别达到496.95和84.80mg / g。然后,可以用0.5mol / L HCl溶液有效地再生饱和固定床柱。解吸效率保持高达83.45%,在第五再生循环中重量低3.57%。此外,突破性曲线建模表明,可以有效地应用于优化固定床吸附系统的5-9-1前馈人工神经网络(ANN);在验证测试数据中评估的确定系数(R-2)和均方根误差(RMSE)分别为0.9987和0.0183。因此,粒状AAN-RM固定床吸附呈现出磷酸盐除去和从污染的水中恢复的有希望的可能性。 (c)2019中国科学院生态环境科学研究中心。 elsevier b.v出版。

著录项

  • 来源
    《Journal of environmental sciences》 |2020年第1期|共9页
  • 作者单位

    Fujian Agr &

    Forestry Univ Coll Resources &

    Environm Fujian Prov Key Lab Soil Environm Hlth &

    Regulat Fuzhou 350002 Peoples R China;

    Fujian Agr &

    Forestry Univ Coll Resources &

    Environm Fujian Prov Key Lab Soil Environm Hlth &

    Regulat Fuzhou 350002 Peoples R China;

    Fujian Agr &

    Forestry Univ Coll Resources &

    Environm Fujian Prov Key Lab Soil Environm Hlth &

    Regulat Fuzhou 350002 Peoples R China;

    Fujian Agr &

    Forestry Univ Coll Resources &

    Environm Fujian Prov Key Lab Soil Environm Hlth &

    Regulat Fuzhou 350002 Peoples R China;

    Fujian Agr &

    Forestry Univ Coll Resources &

    Environm Fujian Prov Key Lab Soil Environm Hlth &

    Regulat Fuzhou 350002 Peoples R China;

    Fujian Agr &

    Forestry Univ Coll Resources &

    Environm Fujian Prov Key Lab Soil Environm Hlth &

    Regulat Fuzhou 350002 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境污染及其防治;
  • 关键词

    Red mud; Fixed-bed column; Bed volume; Artificial neural network; Regeneration;

    机译:红泥;固定床柱;床卷;人工神经网络;再生;

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