Bieroza Magdalena, Baker Andy, Bridgeman John
School of Civil Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Sci Total Environ. 2009 Feb 15;407(5):1765-74. doi: 10.1016/j.scitotenv.2008.11.013. Epub 2008 Dec 10.
Monthly raw and clarified water samples were obtained for 16 UK surface water treatment works. The fluorescence excitation-emission matrix (EEM) technique was used for the assessment of total organic carbon (TOC) removal and organic matter (OM) characterisation. The impact of algae presence in water on TOC removal, and its relationship with fluorescence, was analysed. Fluorescence peak C intensity was found to be a sensitive and reliable measure of OM content. Fluorescence peak C emission wavelength and peak T intensity (reflecting the degree of hydrophobicity and the microbial fraction, respectively) were found to characterize the OM; the impact of both on TOC removal efficiency was apparent. OM fluorescence properties were shown to predict TOC removal, and identify spatial and temporal variations. Previous work indicates that the trihalomethane (THM) concentration of treated water can be predicted from the raw water TOC concentration. The simplicity, sensitivity, speed of analysis and low cost, combined with potential for incorporation into on-line monitoring systems, mean that fluorescence spectroscopy offers a robust analytical technique to be used in conjunction with, or in place of, other approaches to OM characterisation and THM formation prediction.
对英国16家地表水处理厂采集了每月的原水和澄清水样本。采用荧光激发-发射矩阵（EEM）技术评估总有机碳（TOC）的去除情况和有机物（OM）的特性。分析了水中藻类的存在对TOC去除的影响及其与荧光的关系。发现荧光峰C强度是有机物含量的敏感且可靠的度量。发现荧光峰C发射波长和峰T强度（分别反映疏水性程度和微生物部分）可表征有机物；两者对TOC去除效率的影响都很明显。有机物的荧光特性被证明可预测TOC的去除，并识别空间和时间变化。先前的工作表明，处理后水中的三卤甲烷（THM）浓度可根据原水TOC浓度进行预测。荧光光谱法的简单性、灵敏度、分析速度和低成本，再加上有可能纳入在线监测系统，意味着荧光光谱法提供了一种强大的分析技术，可与其他有机物表征和THM形成预测方法结合使用或取而代之。
