利用光电化学需氧量监测饮用水处理过程中的天然有机物

Isobel DeMont, Lindsay E. Anderson, Jessica L. Bennett, Chrissa Sfynia, Paul Bjorndahl, Peter Jarvis, Amina K. Stoddart, Graham A. Gagnon
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引用次数: 0

摘要

总有机碳 (TOC) 和 254 纳米紫外线吸光度 (UV254) 等传统指标可能会忽略饮用水处理过程中天然有机物 (NOM) 反应性的各个方面。新型光电化学需氧量(peCOD)分析仪采用光电化学和电化学方法间接测量 NOM 氧化过程中消耗的氧气,从而量化 NOM 的反应性。peCOD 对于跟踪九个饮用水处理设施中的 NOM 降解情况非常有价值,尤其是在传统指标无法捕捉 NOM 因部分氧化(如生物过滤和氧化)而发生变化的过程中。不过,peCOD 与 TOC(R2 = 0.67)和 UV254(R2 = 0.48)呈中度相关,表明需要将其与传统方法同时使用。虽然 peCOD 并非消毒副产物形成潜力的重要预测指标(R2 = 0.20),但将其与标准 NOM 指标一起纳入可提高多变量回归模型的性能。因此,peCOD 为评估饮用水样本中的 NOM 特征提供了一种快速、标准化、操作简便、环保、基于浓度的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Monitoring natural organic matter in drinking water treatment with photoelectrochemical oxygen demand

Conventional metrics such as total organic carbon (TOC) and ultraviolet absorbance at 254 nm (UV254) may oversee aspects of natural organic matter (NOM) reactivity in drinking water treatment. The novel photoelectrochemical oxygen demand (peCOD) analyzer indirectly measures the oxygen consumed during NOM oxidation with photo- and electrochemical methods, quantifying NOM reactivity. peCOD was valuable for tracking NOM degradation in nine drinking water treatment facilities, particularly in processes where conventional metrics failed to capture changes in NOM from partial oxidation (e.g., biofiltration and oxidation). However, peCOD exhibited moderate correlations with TOC (R2 = 0.67) and UV254 (R2 = 0.48), indicating the need for its concurrent use with conventional methods. While peCOD was not a significant predictor of disinfection by-product formation potential (R2 < 0.20), its inclusion alongside standard NOM metrics improved the performance of multivariable regression models. Thus, peCOD provided a rapid, standardized, operator-friendly, environmentally conscious, concentration-based approach for evaluating NOM characteristics in drinking water samples.

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