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Assessing the impact of environmental activities on natural organic matter in South Africa and Belgium

机译:评估环境活动对南非和比利时的天然有机物的影响

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The presence and persistence of natural organic matter (NOM) in drinking water treatment plants (WTPs) requires a robust and rapid monitoring method. Measurement and monitoring of NOM fractions using current technology is time-consuming and expensive. This study uses fluorescence measurements in combination with Parallel Factor (ParaFac) analysis to characterize NOM fractions. This was achieved through: (1) determining the origin and composition of NOM fractions using fluorescence index (FI), humification index, biological index, and freshness index, and (2) using multivariate analysis to reveal key parameters and hidden NOM fraction characteristics influenced by seasonal changes and environmental activities. The ParaFac model revealed that the NOM fractions for Belgium plants are mainly hydrophobic acids, aromatic proteins, biological activity, humic acid-like, and fulvic acid-like moieties. The NOM fractions in South African plants were mainly aromatic protein, humic acid-like, fulvic acid-like, tryptophan-like, and protein-like moieties. For Belgium plants in spring FI 1.7, indicating high microbial sources, whereas FI 1.3 for South African plants, signifying terrestrial sources of NOM. On the one hand, the first principal component (PC1) interpreted 33.02% of the total variance, and is a measure of fluorescent NOM relative concentration. On the other hand, the PC2 interpreted 21.47% and contains most of the information on humification, freshness, and biological indicators, while PC3 interpreted 17.74% and contains information on the origin and variation in environmental conditions. These results will assist in developing a method for online monitoring of NOM fractions in water sources based on environment activities and spectral measurements.[GRAPHICS].
机译:饮用水处理厂(WTP)中天然有机物(NOM)的存在和持久性需要一种强大而快速的监测方法。使用当前技术测量和监测NOM馏分既费时又昂贵。这项研究将荧光测量与平行因子(ParaFac)分析结合使用来表征NOM组分。这是通过以下方式实现的:(1)使用荧光指数(FI),增湿指数,生物学指数和新鲜度指数确定NOM馏分的来源和组成,以及(2)使用多元分析揭示影响的关键参数和隐含的NOM馏分特征受季节变化和环境活动的影响。 ParaFac模型显示比利时植物的NOM组分主要是疏水酸,芳香蛋白,生物活性,腐殖酸样和富里酸样部分。南非植物中的NOM组分主要是芳香蛋白,腐殖酸样,富里酸样,色氨酸样和蛋白样部分。对于春季春季的比利时植物,FI> 1.7,表明微生物来源较高,而对于南非植物,FI <1.3,表明地面植物为NOM。一方面,第一主成分(PC1)解释了总方差的33.02%,是荧光NOM相对浓度的量度。另一方面,PC2解释了21.47%,其中包含了有关增糖,新鲜度和生物学指标的大部分信息,而PC3解释了17.74%,其中包含了有关环境条件的起源和变化的信息。这些结果将有助于开发一种基于环境活动和光谱测量结果在线监测水中NOM含量的方法。[GRAPHICS]

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