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用于处理垃圾渗滤液和城市污水的砂滤池中自养和异养生物膜的实验结果及数学建模

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

作者信息

Wichern Marc, Lindenblatt Claus, Lübken Manfred, Horn Harald

机构信息

Institute of Water Quality Control, Technische Universität München, Am Coulombwall, 85748 Garching, Germany.

出版信息

Water Res. 2008 Aug;42(14):3899-909. doi: 10.1016/j.watres.2008.05.031. Epub 2008 Jun 25.

Abstract

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 10gNH(4)-N/(m(2)xd) were measured for periods with peak loadings. The two-dimensional dynamic model reproduces the biofilm growth and decay of heterotrophic and autotrophic 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 12gNH(4)-N/(m(2)xd) 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 110microm 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.

摘要

更好地理解土壤过滤污水处理对于优化工厂运行和降低堵塞风险非常重要。本文介绍了一种结合序批式反应器(SBR)和垂直流砂滤技术的处理概念的结果。SBR主要用于颗粒状物质的反硝化和沉淀。通过种植砂滤实现了高效硝化。在负荷高峰期,测得的降解速率为10gNH(4)-N/(m(2)·d)。二维动态模型再现了异养和自养生物量的生物膜生长和衰减。它能够通过结合生化模型和几何模型来描述砂滤的堵塞情况。校准后,该模型用于计算最大氮降解性能。如果将COD/TKN比值降低至低于城市污水的水平,则可实现12gNH(4)-N/(m(2)·d)的最大降解速率。与活性污泥厂相比,滤池中COD的降解程度比预期的更高。在土壤滤池中,根据砾石和砂粒的堆积情况,模拟出生物膜厚度可达110微米。模型参数的敏感性分析表明,最大自养生长速率、自养产率、氧气扩散系数和单个砂粒的接触点数具有很大影响。

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