Characterization of Dissolved Organic Matter in Lake Baiyangdian Using Spectroscopic Techniques and Multivariate Statistical Analysis

• Published in: Clean : soil, air, water air, water, 2016-11, Vol.44 (11), p.1444-1452
• Main Authors: Cui, Jun, Yuan, Dong-hai, Guo, Xu-jing, He, Lian-sheng, He, Jiang-wei, Li, Hai-yan, Li, Jun-qi
• Format: Article
• Language: English
• Subjects: Aquaculture; Fish; Hierarchical cluster analysis; Principal component analysis; Synchronous fluorescence spectrometry; UV-vis spectroscopy; Water quality
• ISSN: 1863-0650; 1863-0669
• DOI: 10.1002/clen.201500887

Dissolved organic matter (DOM) collected from the surface and overlying waters in different functional regions in Lake Baiyangdian were analyzed by spectroscopic techniques combined with principal component analysis (PCA) and hierarchical cluster analysis (HCA), to interpret water quality, and sources of pollutants. The results showed that the deterioration of water quality has intensified at river estuary and aquaculture area. Meanwhile, these regions dominated by plants had relatively low dissolved oxygen concentrations. UV‐vis spectra showed lower humification degree and simpler molecular structure in the DOM collected from the pollutant‐receiving region. The analysis of PCA combined with synchronous fluorescence spectra yielded two principal components (PCs) that account for 99.44% of the variance. PC1 showed a dominant protein‐like fluorophore at 279 nm and PC2 was characterized by dominated fulvic‐like fluorophores (325 and 331 nm). The results of PCA indicated that DOM collected from the river estuary, the aquaculture region, and the eutrophication area exhibited a higher protein‐like fluorophore, and higher PC1 and lower PC2 loadings (PC1 > 0.7, PC2