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Experimental results and mathematical modelling of an autotrophic and heterotrophic biofilm in a sand filter treating landfill leachate and municipal wastewater

机译:砂滤池处理垃圾渗滤液和城市废水的自养和异养生物膜的实验结果和数学模型

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A better understanding of wastewater treatment with soil filters is important to optimise plant operation and reduce the risk of clogging. The article presents results of a treatment concept which uses a combination of SBR and vertical-flow sand filter technology. The SBR was mainly used for denitrification and sedimentation of substances in particulate form. Efficient nitrification was achieved by the planted sand filter. Degradation rates of 10 gNH4-N/(m~2 × d) were measured for periods with peak loadings. The two-dimensional dynamic model reproduces the biofilm growth and decay of heterotrophic and aufotrophic biomass. It is capable of describing the clogging of the sand filter by combining a biochemical and a geometric model. After calibration, the model was used for the calculation of maximum nitrogen degradation performances. Maximum degradation rates of 12 gNH_4-N/(m~2 × d) can be achieved if the COD/TKN ratio is reduced before to a level lower than . that of municipal wastewater. The COD was further degraded in the filter than we expected comparing it with activated sludge plants. Within the soil filter a biofilm thickness of up to 110 μm is simulated depending on the embankment of gravel and grains of sand. Sensitivity analysis of model parameters showed the high impact of the maximum autotrophic growth rate, the autotrophic yield, the diffusion coefficient for oxygen and the number of contact points of the single grains of sand.
机译:更好地了解使用土壤过滤器处理废水对于优化工厂运营和降低堵塞风险很重要。本文介绍了结合SBR和垂直流式砂滤技术的处理方案的结果。 SBR主要用于颗粒状物质的反硝化和沉降。种植式砂滤器实现了有效的硝化作用。在峰值负荷期间测得的降解率为10 gNH4-N /(m〜2×d)。二维动态模型再现了异养和营养缺陷生物量的生物膜生长和衰减。它可以通过组合生化模型和几何模型来描述沙滤器的堵塞。校准后,该模型用于计算最大氮降解性能。如果将COD / TKN比降低到低于,则可以达到12 gNH_4-N /(m〜2×d)的最大降解率。市政废水。与活性污泥处理厂相比,COD在过滤器中的降解程度超出了我们的预期。在土壤过滤器中,根据砾石和沙粒的堤岸模拟了高达110μm的生物膜厚度。模型参数的敏感性分析表明,最大自养生长速率,自养产量,氧的扩散系数和单粒沙粒的接触点数量对产量有很大影响。

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