Department of Separation Science, School of Engineering Science, LUT University, Mikkeli, Finland.
Center of Water Resources Studies, Dalhousie University, Halifax, NS, Canada.
Environ Sci Process Impacts. 2021 Jun 24;23(6):880-889. doi: 10.1039/d1em00015b.
The potential use of a statistical approach for the investigation of complex dissolved organic matter (DOM) sources in surface water within a recycled water system monitored by excitation-emission matrix (EEM) fluorescence spectroscopy is shown. The work in this manuscript utilize information extracted from EEM spectroscopy to characterize DOM in collected surface water samples along with a wastewater treatment plant to drinking water treatment plant, discussing that humic-like and protein-like DOM sources predominate in the investigated water samples. Five different fluorescent components were resolved, describing several different types of DOM with different excitation and emission spectra that were distinct among the watershed sampling sites and indicating the influences of anthropogenic impacts. In addition, these novel fluorescence parameters have potential to improve resolution to direct more targeted water quality monitoring approaches.
本研究展示了统计方法在通过激发-发射矩阵（EEM）荧光光谱法监测的再生水系统中调查地表水复杂溶解有机物（DOM）来源中的潜在应用。本文工作利用从 EEM 光谱中提取的信息，对收集的地表水样品以及从污水处理厂到饮用水处理厂的 DOM 进行了特征描述，讨论了腐殖质样和蛋白质样 DOM 来源在研究水样中占主导地位。解析了 5 种不同的荧光组分，描述了几种不同类型的 DOM，它们具有不同的激发和发射光谱，在流域采样点之间有明显的差异，表明了人为影响的影响。此外，这些新的荧光参数具有提高分辨率的潜力，从而可以更有针对性地进行水质监测。
