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Multivariate analysis of fluorescence and source identification of dissolved organic matter in Jiaozhou Bay, China

查看全文 作  者:JIANG [1,2]Fenghua;YANG [1,2]Baijuan;LEE Frank Sen-[1,2]Chun;WANG [1,2]Xiaoru;CAO [1,2]Xuail 高影响力作者 机构地区:[1]Qingdao Key Lab of Analytical Technology Development and Standardization of Chinese Medicine, Qingdao 266061, China;[2]Research Center of Marine Ecology, First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China高影响力机构 出  处:《Acta Oceanologica Sinica》索引2009年第28卷第2期,共13页高影响力期刊 基  金:supported by the National High-tech Research Project ('863' Project) of China under contract Nos 2003AA635180 and 2006AA09Z167;the Public Welfare Project of Marine Science Research under contract No 200705011;the open project of Key Laboratory of Integrated Marine Monitoring and Applied Technologies for Harmful Algal Blooms,SOA, China under contract No200811 摘  要:Hierarchical clustering analysis and principal component analysis (PCA) methods were used to as-sess 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. 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
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