Composition analysis of colored dissolved organic matter in Taihu Lake based on three dimension excitation-emission fluorescence matrix and PARAFAC model, and the potential application in water quality monitoring
Composition analysis of colored dissolved organic matter in Taihu Lake based on three dimension excitation-emission fluorescence matrix and PARAFAC model, and the potential application in water quality monitoring
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DOI：
10.1016/s1001-0742(07)60132-6
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发表时间：
2007-01-01
影响因子：
6.9
通讯作者：
Liu Jian-guo
中科院分区：
文献类型：
--
作者：
Wang Zhi-gang;Liu Wen-qing;Liu Jian-guo
太湖是中国五大湖泊之一。采集了太湖26个采样点的地表水样品。在实验室条件下进行了湿化学分析（CODCr和BOD_5）和三维激发-发射矩阵（3DEEM）光谱测量。利用平行因子分析（PARAFAC）模型，在分析三维电子显微镜（3DEEM）数据的基础上，成功地识别出了有色溶解有机物（CDOM）的三个组分。这三个组成部分的特点也已被描述，通过比较他们的一些组成部分的CDOM，在早期的研究中确定。同时，对太湖水体中3种组分浓度的空间变化进行了分析，结果表明，组分1的浓度更依赖于污水污染状况，可以作为污水污染的指示物。三种组分的浓度与湿化学分析结果的关系表明，三种组分均不能作为水体中总有机质的指示物。但三种组分的浓度与BOD_5值均呈明显的线性关系，其中组分1的线性关系最为显著（r = 0.72878）。最后，阐述了基于3DEEM和PARAFAC模型的组分分析在水质监测中的应用前景。
Taihu Lake is one of the five biggest lakes in China. Surface water samples from 26 sampling sites of Taihu Lake were collected. Furthermore wet chemical analysis (CODCr and BOD5) and measurement of three dimensional excitation-emission matrix (3DEEM) spectra in the laboratory have been conducted. Using parallel factor analysis (PARAFAC) model, three components of colored dissolved organic matter (CDOM) have been identified successfully, based on the analysis of 3DEEM data. The characteristics of the three components also have been described by comparing them to some components of CDOM, identified in earlier researches. Meanwhile, spatial variations of concentration for the three components in Taihu Lake have been analyzed, and the result indicates that the concentration of component 1 depends more on the situation of wastewater pollution and can be used as the indicator of wastewater pollution. The relationship between the concentrations of the three components and results of the wet chemical analysis show that none of the three components can be used as indicators of gross organic matter in water. However, the concentrations of all the three components have obvious linear relationships with the BOD5 value, especially for component 1 (r = 0.72878). Finally, the potential applications of the composition analysis based on 3DEEM and PARAFAC model in water quality monitoring have been illuminated.