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Is the whole the sumof its parts? Agent-basedmodelling of wastewater treatment systems

机译:整体是各个部分的总和吗?基于主体的废水处理系统建模

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Agent-based models (ABMs) simulate individual units within a system, such as the bacteria in anbiological wastewater treatment system. This paper outlines past, current and potential futurenapplications of ABMs to wastewater treatment. ABMs track heterogeneities within microbialnpopulations, and this has been demonstrated to yield different predictions of bulk behaviors thannthe conventional, ‘‘lumped’’ approaches for enhanced biological phosphorus removal (EBPR)ncompletely mixed reactors systems. Current work included the application of the ABM approachnto bacterial adaptation/evolution, using the model system of individual EBPR bacteria that arenallowed to evolve a kinetic parameter (maximum glycogen storage) in a competitive environment.nThe ABM approach was successfully implemented to a simple anaerobic-aerobic system and itnwas found the differing initial states converged to the same optimal solution under uncertainnhydraulic residence times associated with completely mixed hydraulics. In another study, an ABMnwas developed and applied to simulate the heterogeneity in intracellular polymer storagencompounds, including polyphosphate (PP), in functional microbial populations in enhancednbiological phosphorus removal (EBPR) process. The simulation results were compared to thenexperimental measurements of single-cell abundance of PP in polyphosphate accumulatingnorganisms (PAOs), performed using Raman microscopy. The model-predicted heterogeneity wasngenerally consistent with observations, and it was used to investigate the relative contribution ofnexternal (different life histories) and internal (biological) mechanisms leading to heterogeneity.nIn the future, ABMs could be combined with computational fluid dynamics (CFD) models tonunderstand incomplete mixing, more intracellular states and mechanisms can be incorporated,nand additional experimental verification is needed.
机译:基于代理的模型(ABM)模拟系统中的各个单元,例如生物废水处理系统中的细菌。本文概述了ABM在废水处理中的过去,当前和潜在的未来应用。 ABM追踪微生物种群中的异质性,并且与传统的“集总”方法来增强生物除磷(EBPR)的完全混合反应器系统相比,对生物行为的预测不同。当前的工作包括将ABM方法应用于细菌适应性/进化过程,使用单个EBPR细菌的模型系统,该模型系统不允许在竞争性环境中发展动力学参数(最大糖原存储量)。nABM方法已成功实施为简单的厌氧菌培养。有氧系统,它发现在与完全混合的液压系统相关的不确定的液压停留时间下,不同的初始状态收敛到相同的最优解。在另一项研究中,ABMn已开发并应用于模拟功能增强微生物除磷(EBPR)过程中功能性微生物种群的细胞内聚合物存储化合物(包括多磷酸盐(PP))的异质性。将模拟结果与随后使用拉曼显微镜进行的多磷酸盐累积有机体(PAOs)中PP单细胞丰度的实验测量进行了比较。该模型预测的异质性与观测值在总体上是一致的,并且被用于研究导致异质性的内部(不同的生命历史)和内部(生物)机制的相对贡献。n将来,ABMs可以与计算流体动力学(CFD)结合这些模型可以理解不完全混合,可以结合更多的细胞内状态和机制,并且不需要其他实验验证。

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