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Models for nitrification process design: One or two AOB populations?

机译:硝化工艺设计的模型:一两个AOB种群?

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Models for engineering design of nitrifying systems use one ammonia oxidizer biomass (AOB) state variable. A simple extension using two AOB populations allows a more accurate prediction of nitrification systems at switching process environments. These two AOB subpopulations are characterized by two different sets of kinetic parameters. Selection pressure and competition between the two functional AOB populations are determined by process conditions as demonstrated by three case studies: Case study I describes dynamics of two AOB populations showing different temperature sensitivities (modified Arrhenius term on growth and decay) when bioaugmented from the warm sidestream treatment environment to the cold mainstream and vice-versa. Case study II investigates competition between fast growing μ-strategists and k-strategists adjusted to low ammonia levels depending on the internal mixed liquor recycle rate (IMLR). Case study III shows that AOB transferred from the waste activated sludge of an SBR to the parallel continuous flow system with different decay kinetics can overgrow or coexist with the original population.
机译:硝化系统工程设计的模型使用一个氨氧化剂生物量(AOB)状态变量。使用两个AOB种群的简单扩展可以在转换过程环境下更准确地预测硝化系统。这两个AOB亚群的特征在于两组不同的动力学参数。通过三个案例研究证明,工艺条件决定了两个功能性AOB种群之间的选择压力和竞争:案例研究I描述了两个AOB种群的动力学,当从温暖的侧流进行生物强化时,它们表现出不同的温度敏感性(对生长和衰变的修正的Arrhenius术语)。治疗环境要冷到主流,反之亦然。案例研究II研究了根据内部混合液再循环率(IMLR)调整为低氨水平的快速增长的μ策略家与k策略家之间的竞争。案例研究III显示,从SBR的废料活性污泥转移到具有不同衰减动力学的平行连续流系统的AOB可能会与原始种群过度生长或共存。

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