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Towards a better control of the wastewater treatment process: excitation-emission matrix fluorescence spectroscopy of dissolved organic matter as a predictive tool of soluble BOD 5 in influents of six Parisian wastewater treatment plants

机译:更好地控制废水处理过程:溶解有机物质的激发 - 发射基质荧光光谱作为可溶性BOD的预测工具<下标> 5 的六个巴黎废水处理厂的影响

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Abstract The online monitoring of dissolved organic matter (DOM) in raw sewage water is expected to better control wastewater treatment processes. Fluorescence spectroscopy offers one possibility for both the online and real-time monitoring of DOM, especially as regards the DOM biodegradability assessment. In this study, three-dimensional fluorescence spectroscopy combined with a parallel factor analysis (PARAFAC) has been investigated as a predictive tool of the soluble biological oxygen demand in 5?days (BOD~(5)) for raw sewage water. Six PARAFAC components were highlighted in 69 raw sewage water samples: C2, C5, and C6 related to humic-like compounds, along with C1, C3, and C4 related to protein-like compounds. Since the PARAFAC methodology is not available for online monitoring, a peak-picking approach based on maximum excitation-emission (Ex-Em) localization of the PARAFAC components identified in this study has been used. A good predictive model of soluble BOD~(5)using fluorescence spectroscopy parameters was obtained ( r _(2)?=?0.846, adjusted r _(2)?=?0.839, p ?
机译:摘要预期原始污水水中溶解有机物质(DOM)的在线监测是更好地控制废水处理过程。荧光光谱对DOM的在线和实时监测提供一种可能性,特别是对于DOM生物降解性评估。在该研究中,已经研究了三维荧光光谱与平行因子分析(PARAFAC)相结合,作为5?天(BOD〜(5))的可溶性生物需氧量的预测工具。在69个原始污水水样中突出了六种PARAFAC组分:C2,C5和C6与腐殖质化合物相关的C1,C3和C4与蛋白质化合物相关的C1,C3和C4。由于PARAFAC方法不可用于在线监测,因此使用了基于该研究中鉴定的基于最大激发 - 发射(EX-EM)定位的峰值拾取方法。获得了使用荧光光谱参数的可溶性BOD〜(5)的良好预测模型(R _(2)?=?0.846,调整后R _(2)?=?0.839,P?

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