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Applications of principal component analysis of fluorescence excitation-emission matrices for characterization of natural organic matter in water treatment.

机译:荧光激发发射矩阵的主成分分析在水处理中天然有机物表征中的应用。

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摘要

Quantification of natural organic matter (NOM) in water is limited by the complex and varied nature of compounds found in natural waters. Current characterization techniques, which identify and quantify fractions of NOM, are often expensive and time consuming suggesting the need for rapid and accurate characterization methods. In this work, principal component analysis of fluorescence excitation-emission matrices (FEEM-PCA) was investigated as a NOM characterization technique. Through the use of jar tests and disinfection by-product formation tests, FEEM-PCA was shown to be a good surrogate for disinfection by-product precursors. FEEM-PCA was also applied in order to characterize differences in humic-like, protein-like, and Rayleigh scattering between multiple source waters and due to differing treatment processes. A decrease in Rayleigh scattering influence was observed for a deep lake intake, and multiple processes were found to significantly affect humic-like substances, protein-like, and Rayleigh scattering fractions.
机译:水中天然有机物(NOM)的定量受到天然水中化合物复杂而多变的性质的限制。鉴定和定量NOM组成部分的当前表征技术通常昂贵且耗时,这表明需要快速而准确的表征方法。在这项工作中,作为NOM表征技术,研究了荧光激发发射矩阵(FEEM-PCA)的主成分分析。通过使用广口瓶测试和消毒副产物形成测试,FEEM-PCA被证明是消毒副产物前体的良好替代品。 FEEM-PCA也用于表征多种来源水之间由于不同处理工艺而导致的腐殖质样,蛋白质样和瑞利散射的差异。观察到深湖入口的瑞利散射影响减小,并且发现多个过程显着影响类腐殖质,蛋白质和瑞利散射分数。

著录项

  • 作者

    Peleato, Nicolas Miguel.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Engineering Civil.
  • 学位 M.Appl.Sc.
  • 年度 2013
  • 页码 160 p.
  • 总页数 160
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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