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Fluorescence characterization of organic matter and fouling: Case study in a full-scale reverse osmosis membrane treatment plant

机译:有机物和结垢的荧光表征:大规模反渗透膜处理厂的案例研究

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Membranes used for water treatment are subject to organic fouling, caused by organic matter in source water. Characterizing organic matter has the potential to improve fouling prediction since the development of an organic fouling layer on the membrane is dependent on the specific characteristics of the organic matter. A field study was performed at a full-scale reverse osmosis water treatment plant that treats secondary wastewater effluent for industrial reuse at a power plant. Samples were collected at various points within the treatment process and were analyzed for turbidity, total organic carbon (TOC), conductivity, and fluorescence Excitation Emission Matrices (EEM). Parallel factor analysis (PARAFAC) was used to generate representative fluorescence measurements of the organic matter. Results indicate that TOC and fluorescence measurements were effective in differentiating between two observed fouling periods at multiple locations within the treatment plant. However, none of the water quality measurements were effective in tracking treatability of organic matter throughout pretreatment. The results of this case study provide important information about the relationship between fluorescence NOM signals and membrane fouling that can be used in future online detection systems.Practitioner points TOC and fluorescence measurements were effective in differentiating between the high fouling and low fouling periods. Water quality measurements were not effective in tracking changes in organic matter throughout pretreatment. Implementation of online fluorescence monitoring of fouling potential could be used for real-time process control.
机译:用于水处理的膜会受到源水中有机物的污染。由于膜上有机污垢层的形成取决于有机物的特定特性,因此表征有机物具有改善污垢预测的潜力。在大型反渗透水处理厂进行了现场研究,该厂处理发电厂的二次废水以进行工业回用。在处理过程中的各个时间点收集样品,并分析其浊度,总有机碳(TOC),电导率和荧光激发发射矩阵(EEM)。平行因子分析(PARAFAC)用于生成有机物的代表性荧光测量值。结果表明,TOC和荧光测量可有效区分处理厂内多个位置的两个观察到的结垢时间。但是,在整个预处理过程中,水质测量均无法有效追踪有机物的可处理性。该案例研究的结果提供了有关荧光NOM信号与膜污染之间关系的重要信息,这些信息可用于将来的在线检测系统中。从业人员的TOC和荧光测量可以有效区分高污染和低污染时间。在整个预处理过程中,水质测量无法有效追踪有机物的变化。在线荧光监测结垢潜力可用于实时过程控制。

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