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Fluorescence spectroscopy and parallel factor analysis as a dissolved organic monitoring tool to assess treatment performance in drinking water trains

机译:荧光光谱和平行因子分析作为溶解有机监测工具,用于评估饮用水列车的处理性能

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摘要

Fluorescence excitation emission matrix (FEEM) spectroscopy was used to evaluate its applicability as a tool to track dissolved organic matter (DOM) in a drinking water treatment plant (DWTP) that incorporates a conventional line (consisting in ozonation and GAC filtration) and a membrane-based line (consisting in ultrafiltration, reverse osmosis and mineralization) working in parallel. Seven sampling points within the different process stages were characterized monthly during 2014. A global Parallel Factor Analysis (PARAFAC) was used to pull out underlying organic fractions from the fluorescence spectra. Accordingly a five components model was selected to describe the system and the pros and cons of the model were discussed by analysis of the residuals. Among the five fluorescent components, those associated to humic-like matter (C1, C3 and C4) showed a similar season variability in the river water feeding the DWTP (which resembled that of UV254 and TOC), whereas the two components associated to protein-like matter (C2 and C5) exhibited a different behavior. The maximum fluorescence intensity values (Fmax) were used to quantify DOM removals across the plant. Compared to the conventional line, water from the UF/RO membrane-based line showed between 6 and 14 times lower fluorescence intensity signal for the humic-like components and between 1 and 3 for the protein-like components as compared to the conventional line. The differences in DOM composition due to seasonal variations and along the treatment trains point out the suitability of using fluorescence measurements over other parameters such as UV254 as a monitoring tool to help optimize operation conditions of each treatment stage and improve produced water quality in a DWTP.
机译:荧光激发发射矩阵(FEEM)光谱用于评估其在包含常规生产线(包括臭氧氧化和GAC过滤)和膜的饮用水处理厂(DWTP)中作为追踪溶解有机物(DOM)的工具的适用性平行的生产线(包括超滤,反渗透和矿化)。 2014年期间每月对不同工艺阶段的七个采样点进行表征。使用全局平行因子分析(PARAFAC)从荧光光谱中提取潜在的有机组分。因此,选择了一个五元模型来描述系统,并通过分析残差来讨论模型的优缺点。在这五个荧光成分中,与腐殖质类似的物质(C1,C3和C4)在喂入DWTP的河水中表现出相似的季节变化(类似于UV254和TOC),而与蛋白质相关的两个成分相似的物质(C2和C5)表现出不同的行为。最大荧光强度值(Fmax)用于量化整个植物中的DOM去除量。与常规生产线相比,基于UF / RO膜的生产线的水显示出的腐殖质样组分的荧光强度信号低6到14倍,蛋白质样组分的荧光强度信号低1-3倍。由于季节性变化和沿处理过程而导致的DOM组成的差异,表明了对其他参数(例如UV254)使用荧光测量作为监测工具的适用性,以帮助优化每个处理阶段的操作条件并改善DWTP中的产出水质量。

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