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Simulations of organic carbon transformation in dye wastewater and treatment suggestions

机译:染料废水中有机碳转化的模拟及处理建议

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The organic carbon in highly variable dye wastewater could be decomposed by microorganisms. The carbon turnover had some similarity to the transformation of soil organic matter, in that both systems had complicated carbons in the initial, intermediate and final phases, with microorganisms activating the decomposition. These processes could be simulated using a dynamic model that includes a system of differential equations representing six state variables, namely the liable decomposable fraction (LDF), the resistant decomposable fraction (RDF), active biomass (BAC), inactive biomass (BIA), decomposable (DOM) and non-decomposable organic materials (NDM). The relationship between these variables and traditional wastewater properties, e.g. chemical oxygen demand (COD) and biological oxygen demand (BOD), was defined in the context of experimental data acquisition and model evaluation. The model was calibrated by simulating several conditions, such as increasing the organic loading and hydraulic retention time (HRT), varying the C/N ratio of the organic substances in the dye wastewater and changing the treatment temperature. With the data from these experiments, a set of parameters related to the transformation rate and proportion was identified to represent the results from each experiment. This fitting allowed the model to be useful in carrying out more simulations for characterizing the efficiency of different treatment strategies. The results showed that in order to meet discharge COD regulations, <94 mg C/l in the effluent, the extension of HRT was more effective and sensitive than reducing the organic loading. Both the simulations and experiments indicated that the organic loading limit for the system was near 2400 mg/l COD. The simulation also revealed that the extension of HRT significantly improved the RDF and NDM transformations. No significant changes were found for BAC or BIA as the C/N ratio increased, resulting in minor effects on the other organic substance variations. The temperature factor affected the microbial activity, and therefore the entire transformation process. The effects were typically a parabolic function with the optimum between 20 and 30 ℃. When the temperature was increased from 40 to 50 ℃, the effluent COD increased dramatically.
机译:高度可变的染料废水中的有机碳可被微生物分解。碳转换与土壤有机质的转化有一些相似之处,因为这两个系统在初始,中间和最终阶段都具有复杂的碳,其中微生物激活了分解。可以使用一个动态模型来模拟这些过程,该模型包括一个代表六个状态变量的微分方程系统,分别是有效分解部分(LDF),有效分解部分(RDF),活性生物量(BAC),惰性生物量(BIA),可分解(DOM)和不可分解的有机材料(NDM)。这些变量与传统废水特性之间的关系,例如化学需氧量(COD)和生物需氧量(BOD)是在实验数据获取和模型评估的背景下定义的。通过模拟几个条件来校准模型,例如增加有机负荷和水力停留时间(HRT),改变染料废水中有机物质的C / N比以及改变处理温度。利用这些实验的数据,确定了一组与转化率和比例有关的参数,以代表每个实验的结果。这种拟合使该模型可用于执行更多模拟,以表征不同治疗策略的效率。结果表明,为了满足排放的COD规定(废水中<94 mg C / l),HRT的扩展比减少有机负荷更有效和敏感。模拟和实验均表明,该系统的有机负荷极限接近2400 mg / l COD。模拟还显示,HRT的扩展显着改善了RDF和NDM转换。随着C / N比的增加,BAC或BIA没有发现明显变化,对其他有机物质的变化影响较小。温度因子影响微生物活性,从而影响整个转化过程。该效应通常为抛物线函数,最佳温度为20到30℃。当温度从40升高到50℃时,废水的COD急剧增加。

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