Instituto de Ingeniería del Agua y Medio Ambiente, Universidad Politécnica de Valencia, Camino de Vera s/n. 46022, Valencia, Spain.
Water Res. 2010 Oct;44(18):5284-97. doi: 10.1016/j.watres.2010.06.061. Epub 2010 Jul 3.
This paper presents the results of an experimental study for the modelling and calibration of denitrifying activity of polyphosphate accumulating organisms (PAOs) in full-scale WWTPs that incorporate simultaneous nitrogen and phosphorus removal. The convenience of using different yields under aerobic and anoxic conditions for modelling biological phosphorus removal processes with the ASM2d has been demonstrated. Thus, parameter η(PAO) in the model is given a physical meaning and represents the fraction of PAOs that are able to follow the DPAO metabolism. Using stoichiometric relationships, which are based on assumed biochemical pathways, the anoxic yields considered in the extended ASM2d can be obtained as a function of their respective aerobic yields. Thus, this modification does not mean an extra calibration effort to obtain the new parameters. In this work, an off-line calibration methodology has been applied to validate the model, where general relationships among stoichiometric parameters are proposed to avoid increasing the number of parameters to calibrate. The results have been validated through a UCT scheme pilot plant that is fed with municipal wastewater. The good concordance obtained between experimental and simulated values validates the use of anoxic yields as well as the calibration methodology. Deterministic modelling approaches, together with off-line calibration methodologies, are proposed to assist in decision-making about further process optimization in biological phosphate removal, since parameter values obtained by off-line calibration give valuable information about the activated sludge process such as the amount of DPAOs in the system.
本文介绍了一项在同时进行氮磷去除的全规模污水处理厂中对聚磷菌（PAO）反硝化活性进行建模和标定的实验研究结果。已经证明，在使用 ASM2d 进行生物除磷过程建模时，利用好氧和缺氧条件下不同产率的便利性。因此，模型中的参数η（PAO）被赋予了物理意义，代表了能够遵循 DPAO 代谢的 PAO 分数。通过基于假设生化途径的化学计量关系，可以将扩展 ASM2d 中考虑的缺氧产率作为其相应好氧产率的函数获得。因此，这种修改并不意味着需要额外的标定工作来获得新的参数。在这项工作中，应用了一种离线标定方法来验证模型，其中提出了通用的化学计量参数关系，以避免增加需要标定的参数数量。通过采用城市污水为进水的UCT 中试规模试验装置对结果进行了验证。实验值与模拟值之间的良好一致性验证了缺氧产率以及标定方法的有效性。本文提出了确定性建模方法和离线标定方法，以协助进行生物除磷进一步优化过程的决策，因为离线标定获得的参数值提供了有关活性污泥过程的有价值信息，例如系统中 DPAO 的数量。
