海洋学报（英文版）
海洋學報（英文版）
해양학보（영문판）
ACTA OCEANOLOGICA SINICA
2009年
2期
60-72
,共13页
dissolved organic matter (DOM)%excitation-emission matrix spectroscopy (EEMs)%hierarchical Cluster analysis%principal component analysis (PCA)%Jiaozhou Bay
Hierarchical clustering analysis and principal component analysis (PCA) methods were used to assess the similarities and dissimilarities of the entire Excitation-emission matrix spectroscopy (EEMs) data sets of samples collected from Jiaozhou Bay, China. The results demonstrate that multivariate analysis facilitates the complex data treatment and spectral sorting processes, and also enhances the probability to reveal otherwise hidden information concerning the chemical characteristics of the dissolved organic matter (DOM). The distribution of different water samples as revealed by multivariate results has been used to track the movement of DOM material in the study area, and the interpretation is supported by the results obtained from the numerical simulation model of substance tracing technique, which show that the substance discharged by Haibo River can be distributed in Jiaozhou Bay.
