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Statistical Modelling of the Fouling for a Nanofiltration Drinking Water Treatment Plant 纳滤饮用水处理厂污垢的统计建模
发布日期: 2003-03-05
滨海蒙特勒伊饮用水处理厂每天生产90 MGD经处理的地表水。这个 该工厂由两个平行处理单元组成:一个常规生物单元和一个纳滤单元, 自1999年9月开始运营,生产37MGD。 部分挑战是在处理过的地表水上运行大型纳滤装置, 含有大量颗粒和溶解物质。自从全面的步骤被提出 在使用中,观察到水渗透性略有下降,并且 清洁工作并不是一成不变的。为了理解这一现象,对 污垢已经被清除。输入参数为清洁后的运行时间和 给水特性。本文介绍了统计建模的结果。 对于所有型号,清洗后的运行时间是膜的主要进水参数 污垢。这项研究还强调了季节性影响:温度越低,气温越高 污垢。颗粒数、淤泥密度指数和总有机碳含量增加 加速污垢现象,而硬度等化学参数的变化, 硫酸盐含量似乎对膜堵塞有轻微影响。包括参考资料、表格、图表。
The M¿ry-sur-Oise drinking water treatment plant produces daily 90 MGD treated surface water. The plant consists of two parallel treatment units: a conventional biological unit and a nanofiltration unit, that has been operating since September 1999, producing 37 MGD. Part of the challenge was the operation of a large nanofiltration unit on treated surface water, containing high levels of particles and dissolved materials. Since the full-scale step was brought in service, a slight loss in water permeability has been observed and the effectiveness of the cleaning has not been constant. In order to understand this phenomenon, a statistical modelling of the fouling has been carried out. The input parameters are the running time after cleaning and the feedwater characteristics. This paper presents the results of the statistical modelling. For all models, the running time after cleaning is the main influent parameter on the membrane fouling. This study also underlined seasonal effects: the lower the temperature, the greater the fouling. An increase in particle count, Silt Density Index and Total Organic Carbon content accelerate the fouling phenomenon, while the change in chemical parameters such as hardness, sulphate content, seems to have a slight impact on the membrane clogging. Includes reference, tables, figures.
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发布单位或类别: 美国-美国给水工程协会
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