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NOM characterization and removal at six Southern African water treatment plants

机译:南部六个水处理厂的NOM表征和去除

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Organic pollution is a major concern during drinking water treatment. Major challenges attributed to organic pollution include the proliferation of pathogenic micro-organisms, prevalence of toxic and physiologically disruptive organic micro-pollutants, and quality deterioration in water distribution systems. A major component of organic pollution is natural organic matter (NOM). The operational mechanisms of most unit processes are well understood. However, their interaction with NOM is still the subject of scientific research. This paper takes the form of a meta-study to capture some of the experiences with NOM monitoring and analysis at a number of Southern African Water Treatment Plants. It is written from the perspective of practical process selection, to try and coax some pointers from the available data for the design of more detailed pilot work. NOM was tracked at six water treatment plants using dissolved organic carbon (DOC) measurements. Fractionation of the DOC based on biodegradability and molecular weight distribution was done at a water treatment plant in Namibia. A third fractionation technique using ion exchange resins was used to assess the impact of ozonation on DOC. DOC measurements alone did not give much insight into NOM evolution through the treatment train. The more detailed characterization techniques showed that different unit processes preferentially remove different NOM fractions. Therefore these techniques provide better information for process design and optimisation than the DOC measurement which is routinely done during full scale operation at these water treatment plants.
机译:在饮用水处理过程中,有机污染是一个主要问题。有机污染造成的主要挑战包括病原微生物的扩散,有毒和生理破坏性的有机微污染物的普及以及配水系统的质量下降。有机污染的主要成分是天然有机物(NOM)。大多数单元过程的操作机制已广为人知。但是,它们与NOM的相互作用仍然是科学研究的主题。本文采用元研究的形式,以记录一些南部非洲水处理厂在NOM监测和分析方面的一些经验。它是从实际过程选择的角度编写的,旨在尝试从可用数据中寻找一些指针,以设计更详细的试验工作。使用溶解有机碳(DOC)测量值在六个水处理厂跟踪了NOM。基于生物可降解性和分子量分布的DOC分级是在纳米比亚的水处理厂进行的。使用离子交换树脂的第三种分馏技术用于评估臭氧化对DOC的影响。仅仅通过DOC测量并不能通过治疗方案深入了解NOM。更详细的表征技术表明,不同的单元过程会优先去除不同的NOM馏分。因此,与在这些水处理厂全面运行期间通常进行的DOC测量相比,这些技术为工艺设计和优化提供了更好的信息。

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