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Process performance optimization and mathematical modelling of a SBR-MBBR treatment at low oxygen concentration

机译:低氧浓度下SBR-MBBR处理的工艺性能优化和数学建模

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In this study, performances of a SBR-MBBR in terms of COD, TN removal efficiency and sludge production were compared to that of an A/O-MBBR. The SBR-MBBR (40% filling ratio) at 24, 18 and 12 h HRT had a COD and TN removal efficiencies of 88 and 75%, 92 and 72%, 90 and 47%. Increasing the filling ratio to 60% with 12 h HRT, the COD and TN removal efficiencies raised to 93% and 66%, respectively. Thus, increasing the filling ratio of the MBBR the TN removal was improved. The A/O-MBBR configuration achieved a COD and TN removal efficiencies, respectively, of 85% and 72%. This configuration obtained the highest sludge yield due to an increase of the sludge production. Nitrification and denitrification activity tests, performed on attached and suspended biomass, revealed a specialization of the microbial community with the suspended biomass responsible for the denitrification process while the attached biomass for the nitrification.Moreover, a mathematical model consisting of a system of impulsive ordinary differential equations was developed to simulate the SBR-MBBR process. The mathematical model was successfully calibrated and validated through the collected experimental data, resulting in a suitable tool for process efficiency prediction and optimization of operational process conditions.
机译:在这项研究中,将SBR-MBBR在COD,TN去除效率和污泥产生方面的性能与A / O-MBBR进行了比较。在HRT 24、18和12 h时SBR-MBBR(填充率40%)的COD和TN去除效率分别为88和75%,92和72%,90和47%。在12小时的HRT下将填充率提高到60%,COD和TN的去除效率分别提高到93%和66%。因此,增加MBBR的填充率,改善了TN的去除。 A / O-MBBR配置的COD和TN去除效率分别为85%和72%。由于污泥产量的增加,这种配置获得了最高的污泥产量。对附着和悬浮的生物量进行的硝化和反硝化活性测试表明,微生物群落具有特殊性,其中悬浮的生物量负责反硝化过程,而附着的生物量负责硝化作用。此外,该数学模型由脉冲常微分系统组成方程被开发来模拟SBR-MBBR过程。通过收集的实验数据成功地校准和验证了数学模型,从而为预测过程效率和优化操作过程条件提供了合适的工具。

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