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Monitoring the characteristics and removal of natural organic matter fractions in selected South African water treatment plants

机译:监测选定南非水处理厂中天然有机质分数的特征及去除

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This study used spectroscopic methods to investigate the fate and dynamics of natural organic matter (NOM) as it traverses the treatment train at three water treatment plants (WTPs) in South Africa. The character, quantity, and removability of NOM at specific treatment stages was investigated by measuring changes in dissolved organic carbon (DOC) concentration, specific ultra-violet absorbance, UV absorbance, various spectroscopic indices, and maximum fluorescence intensity levels. A novel method of identifying and quantifying fluorescent fractions by combining synchronous fluorescence spectroscopy (SFS) and Gaussian peak fitting is presented. The dynamics of NOM removal were modeled using 2D-SFS correlation spectroscopy. Humic and fulvic substances dominated coastal plants and were the most amenable for removal by coagulation as shown by Hermanus WTP (plant H), which had a 42% DOC removal at the coagulation stage. Tyrosine-like, tryptophan-like and microbial humic-like substances were degraded or transformed concurrently at plant Flag Bushiole (FB) whereas, at plant H, fulvic-like matter was transformed first followed by tyrosine-like then humic-like matter. Through 2D-SFS, this study revealed that NOM transformation was varied as a consequence of NOM character, the type and dosage of treatment chemicals used, and WTPs operational parameters.
机译:本研究使用了光谱方法来研究天然有机物的命运和动态(NOM),因为它在南非三种水处理植物(WTP)中穿过治疗火车。通过测量溶解的有机碳(DOC)浓度,特异性紫外吸收,UV吸光度,各光谱指标和最大荧光强度水平的变化来研究NOM的特异性处理阶段的特征,数量和可除去性。提出了一种通过组合同步荧光光谱(SFS)和高斯峰值拟合来识别和定量荧光级分的新方法。使用2D-SFS相关光谱进行建模NOM移除的动态。腐殖质和富含物质主导沿海植物,最适合凝结的凝固,如hermanus wtp(植物h)所示,在凝血阶段有42%的DOC去除。酪氨酸样,色氨酸样和微生物腐殖质等物质在植物标志蒲式孔(FB)上同时降解或转化,而在植物H处,首先转化更富有的物质,然后用​​酪氨酸状而转化。通过2D-SFS,本研究表明,NOM转化因NOM字符,所使用的治疗化学品的类型和剂量和WTPS操作参数而变化。

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