| JIANG Fenghua,YANG Baijuan,LEE Frank Sen-Chun,WANG Xiaoru,CAO Xuan. 2009. Multivariate analysis of fluorescence and source identification of dissolved organic matter in Jiaozhou Bay, China. Acta Oceanologica Sinica, (2):60－72 |
| Multivariate analysis of fluorescence and source identification of dissolved organic matter in Jiaozhou Bay, China |
| Multivariate analysis of fluorescence and source identification of dissolved organic matter in Jiaozhou Bay, China |
| Received:October 10, 2007 Revised:February 27, 2008 |
| DOI： |
| Key words:dissolved organic matter (DOM) excitation-emission matrix spectroscopy (EEMs) hierarchical Cluster analysis principal component analysis (PCA) Jiaozhou Bay |
| 中文关键词: dissolved organic matter (DOM) excitation-emission matrix spectroscopy (EEMs) hierarchical Cluster analysis principal component analysis (PCA) Jiaozhou Bay |
| 基金项目:This work is supported by the National High-tech Research Project ("863" Project) of China under contract Nos 2003AA635180 and 2006AA09Z167, and the Public Welfare Project of Marine Science Research under contract No. 200705011, and the open project of Key Laboratory of Integrated Marine Monitoring and Applied Technologies for Harmful Algal Blooms, SOA, China under contract No.200811. |
| Author Name | Affiliation | E-mail | | JIANG Fenghua | 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 | | | YANG Baijuan | 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 | | | LEE Frank Sen-Chun | 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 | fsclee@yahoo.com | | WANG Xiaoru | 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 | | | CAO Xuan | 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 | |
|
| Hits: 910 |
| Download times: 702 |
| 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. |
| 中文摘要: |
| 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. |
|
HTML
View Full Text
View/Add Comment Download reader |
| Close |
|
|
|
