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Natural organic matter (NOM) in South African waters: NOM characterisation using combined assessment techniques

机译:南非水域中的天然有机物(NOM):使用组合评估技术表征NOM

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In order to remove natural organic matter (NOM) from water in a water treatment train, the composition of the NOM in the source water must be taken into account, especially as it may not necessarily be uniform since the composition is dependent on the local environment. The main thrust of this study was to ascertain whether a cocktail of characterisation protocols could help to determine the nature, composition and character of NOM in South African waters. The characterisation of South African water sources was done by sampling 8 different water treatment plants located within the 5 major source water types in South Africa. The NOM composition of all of the samples was first studied by applying conventional techniques (UV, DOC, SUVA and bulk water parameters). NOM characterisation was then further conducted using advanced techniques (BDOC, PRAM and FEEM), which were aimed at developing rapid assessment protocols. The FEEM and UV results revealed that the samples consisted mainly of humic substances with a high UV-254 absorbance, while some samples had marine humic substances and non-humic substances. The sample's DOC results were within the range of 3.5 to 22.6 mg·?~(-1) C, which was indicative of the extent of variation of NOM quantities in the regions where samples were obtained. The BDOC fraction of the NOM ranged between 12 and 66%, depending on the geographical location of the sampling site. A modified PRAM was utilised to characterise the changes in NOM polarity in the water treatment process. PRAM results also indicated that the NOM samples were mostly hydrophobic. The composition and character of the NOM was found to vary from one water treatment plant to another. Combining conventional and advanced techniques could be a powerful tool for NOM characterisation and for extracting detailed information on NOM character, which should inform its treatability.
机译:为了在水处理流程中从水中去除天然有机物(NOM),必须考虑原水中NOM的成分,尤其是由于成分取决于当地环境,不一定是均匀的。这项研究的主要目的是确定一系列表征方案是否可以帮助确定南非水域NOM的性质,组成和特征。通过对位于南非5种主要水源类型内的8家不同的水处理厂进行采样,对南非水源进行了表征。首先通过应用常规技术(UV,DOC,SUVA和大量水参数)研究所有样品的NOM组成。然后,使用旨在开发快速评估协议的先进技术(BDOC,PRAM和FEEM)进一步进行NOM表征。 FEEM和UV结果表明,样品主要由具有高UV-254吸光度的腐殖质组成,而一些样品则含有海洋腐殖质和非腐殖质。样品的DOC结果在3.5至22.6 mg·?〜(-1)C的范围内,这表明获得样品的区域中NOM量的变化程度。 NOM的BDOC比例介于12%到66%之间,具体取决于采样地点的地理位置。修改后的PRAM用于表征水处理过程中NOM极性的变化。 PRAM结果还表明NOM样品大部分是疏水的。发现一间水处理厂的NOM的组成和特性各不相同。结合传统技术和先进技术可能是用于NOM表征和提取有关NOM特性的详细信息的强大工具,这应该会提高其可治疗性。

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