| Multivariate analysis of fluorescence and source identification of dissolved organic matter in Jiaozhou Bay, China |
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| 作者姓名： | JIANG Fenghu YANG Baijuan LEE Frank Sen-Chun WANG Xiaoru CAO Xuan |
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| 作者单位： | Qingdao Key Lab of Analytical Technology Development and Standardization of Chinese Medicine, Qingdao 266061, China;Research Center of Marine Ecology, First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
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| 基金项目： | 国家高技术研究发展计划(863计划)，the Public Welfare Project of Marine Science Research，the open project of Key Laboratory of Integrated Marine Monitoring and Applied Technologies for Harmful Algal Blooms |
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| 摘 要： | 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.
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| 关 键 词： | 溶解有机质 胶州湾 多元统计分析 中国 源识别 荧光 数值模拟模型 主成分分析 |
| 收稿时间： | 2007/10/10 0:00:00 |
| 修稿时间： | 2008/2/27 0:00:00 |
Multivariate analysis of fluorescence and source identification of dissolved organic matter in Jiaozhou Bay, China |
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| JIANG Fenghu,YANG Baijuan,LEE Frank Sen-Chun,WANG Xiaoru,CAO Xuan.Multivariate analysis of fluorescence and source identification of dissolved organic matter in Jiaozhou Bay, China[J].Acta Oceanologica Sinica,2009,28(2):60-72. |
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| Authors: | JIANG Fenghu YANG Baijuan LEE Frank Sen-Chun WANG Xiaoru and CAO Xuan |
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| Affiliation: | Qingdao Key Lab of Analytical Technology Development and Standardization of Chinese Medicine, Qingdao 266061, China;Research Center of Marine Ecology, First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China |
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| Abstract: | 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. |
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| Keywords: | dissolved organic matter (DOM) excitation-emission matrix spectroscopy (EEMs) hierarchical Cluster analysis principal component analysis (PCA) Jiaozhou Bay |
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