生物废水处理系统的细胞自动机模型
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国家重点基础研究发展计划资助项目(973计划)(No. 2006CB403207)


A cellular automata model of a biological wastewater treating system
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    摘要:

    建立了活性污泥处理生物废水的细胞自动机模型,对活性污泥生物量与有机物浓度动态进行了研究,提出了计算活性污泥回流循环比的方法。结果表明,在Moore邻居模型下废水达标排放所需时间较Von. Neumann邻居模型少,不同生长阶段的微生物浓度波动具有时滞性。稳定期有机物浓度和生物量不受活性污泥初始浓度的影响。活性污泥处理生物废水的细胞自动机模型有助于为污水处理提供理论依据。

    Abstract:

    A cellular automata (CA) model for activated sludge treating biological wastewater was built, and the dynamics of biomass and BOD were studied. A new method estimating the return sludge ratio was provided by the CA model. The results show that the time for the BOD to reach the wastewater quality standard in the Moore neighbor model is shorter than for the Von.Neumann model, and that the concentration fluctuation of microbes in different growth stages is characterized by a time lag. The initial concentration of activated sludge has no influence on biomass and BOD in stable phase. The cellular automata model of activated sludge treating biological wastewater can provide theoretical evidence for sewage treatment.

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廖金宝,李镇清*.生物废水处理系统的细胞自动机模型.生态学报,2009,29(8):4231~4241

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